forked from D-Net/dnet-hadoop
applying changes from beta
This commit is contained in:
commit
8c03c41d5d
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@ -51,6 +51,7 @@ public class Constants {
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public static final String RETRY_DELAY = "retryDelay";
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public static final String RETRY_DELAY = "retryDelay";
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public static final String CONNECT_TIMEOUT = "connectTimeOut";
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public static final String CONNECT_TIMEOUT = "connectTimeOut";
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public static final String READ_TIMEOUT = "readTimeOut";
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public static final String READ_TIMEOUT = "readTimeOut";
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public static final String REQUEST_METHOD = "requestMethod";
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public static final String FROM_DATE_OVERRIDE = "fromDateOverride";
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public static final String FROM_DATE_OVERRIDE = "fromDateOverride";
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public static final String UNTIL_DATE_OVERRIDE = "untilDateOverride";
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public static final String UNTIL_DATE_OVERRIDE = "untilDateOverride";
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@ -1,6 +1,9 @@
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package eu.dnetlib.dhp.common.collection;
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package eu.dnetlib.dhp.common.collection;
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import java.util.HashMap;
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import java.util.Map;
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/**
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/**
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* Bundles the http connection parameters driving the client behaviour.
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* Bundles the http connection parameters driving the client behaviour.
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*/
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*/
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@ -13,6 +16,8 @@ public class HttpClientParams {
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public static int _connectTimeOut = 10; // seconds
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public static int _connectTimeOut = 10; // seconds
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public static int _readTimeOut = 30; // seconds
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public static int _readTimeOut = 30; // seconds
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public static String _requestMethod = "GET";
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/**
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/**
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* Maximum number of allowed retires before failing
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* Maximum number of allowed retires before failing
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*/
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*/
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@ -38,17 +43,30 @@ public class HttpClientParams {
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*/
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*/
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private int readTimeOut;
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private int readTimeOut;
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/**
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* Custom http headers
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*/
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private Map<String, String> headers;
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/**
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* Request method (i.e., GET, POST etc)
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*/
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private String requestMethod;
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public HttpClientParams() {
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public HttpClientParams() {
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this(_maxNumberOfRetry, _requestDelay, _retryDelay, _connectTimeOut, _readTimeOut);
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this(_maxNumberOfRetry, _requestDelay, _retryDelay, _connectTimeOut, _readTimeOut, new HashMap<>(),
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_requestMethod);
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}
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}
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public HttpClientParams(int maxNumberOfRetry, int requestDelay, int retryDelay, int connectTimeOut,
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public HttpClientParams(int maxNumberOfRetry, int requestDelay, int retryDelay, int connectTimeOut,
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int readTimeOut) {
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int readTimeOut, Map<String, String> headers, String requestMethod) {
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this.maxNumberOfRetry = maxNumberOfRetry;
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this.maxNumberOfRetry = maxNumberOfRetry;
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this.requestDelay = requestDelay;
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this.requestDelay = requestDelay;
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this.retryDelay = retryDelay;
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this.retryDelay = retryDelay;
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this.connectTimeOut = connectTimeOut;
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this.connectTimeOut = connectTimeOut;
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this.readTimeOut = readTimeOut;
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this.readTimeOut = readTimeOut;
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this.headers = headers;
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this.requestMethod = requestMethod;
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}
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}
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public int getMaxNumberOfRetry() {
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public int getMaxNumberOfRetry() {
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@ -91,4 +109,19 @@ public class HttpClientParams {
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this.readTimeOut = readTimeOut;
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this.readTimeOut = readTimeOut;
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}
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}
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public Map<String, String> getHeaders() {
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return headers;
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}
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public void setHeaders(Map<String, String> headers) {
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this.headers = headers;
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}
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public String getRequestMethod() {
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return requestMethod;
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}
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public void setRequestMethod(String requestMethod) {
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this.requestMethod = requestMethod;
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}
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}
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}
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@ -107,7 +107,14 @@ public class HttpConnector2 {
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urlConn.setReadTimeout(getClientParams().getReadTimeOut() * 1000);
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urlConn.setReadTimeout(getClientParams().getReadTimeOut() * 1000);
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urlConn.setConnectTimeout(getClientParams().getConnectTimeOut() * 1000);
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urlConn.setConnectTimeout(getClientParams().getConnectTimeOut() * 1000);
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urlConn.addRequestProperty(HttpHeaders.USER_AGENT, userAgent);
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urlConn.addRequestProperty(HttpHeaders.USER_AGENT, userAgent);
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urlConn.setRequestMethod(getClientParams().getRequestMethod());
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// if provided, add custom headers
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if (!getClientParams().getHeaders().isEmpty()) {
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for (Map.Entry<String, String> headerEntry : getClientParams().getHeaders().entrySet()) {
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urlConn.addRequestProperty(headerEntry.getKey(), headerEntry.getValue());
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}
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}
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if (log.isDebugEnabled()) {
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if (log.isDebugEnabled()) {
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logHeaderFields(urlConn);
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logHeaderFields(urlConn);
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}
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}
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@ -1,97 +0,0 @@
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package eu.dnetlib.dhp.oa.merge;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.util.Objects;
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import java.util.Optional;
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import org.apache.commons.io.IOUtils;
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import org.apache.commons.lang3.StringUtils;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.function.FilterFunction;
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import org.apache.spark.api.java.function.MapFunction;
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import org.apache.spark.sql.*;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.common.HdfsSupport;
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import eu.dnetlib.dhp.schema.common.ModelSupport;
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public class DispatchEntitiesSparkJob {
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private static final Logger log = LoggerFactory.getLogger(DispatchEntitiesSparkJob.class);
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public static void main(String[] args) throws Exception {
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String jsonConfiguration = IOUtils
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.toString(
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Objects
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.requireNonNull(
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DispatchEntitiesSparkJob.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/oa/merge/dispatch_entities_parameters.json")));
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
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parser.parseArgument(args);
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Boolean isSparkSessionManaged = Optional
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.ofNullable(parser.get("isSparkSessionManaged"))
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.map(Boolean::valueOf)
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.orElse(Boolean.TRUE);
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log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
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String inputPath = parser.get("inputPath");
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log.info("inputPath: {}", inputPath);
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String outputPath = parser.get("outputPath");
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log.info("outputPath: {}", outputPath);
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boolean filterInvisible = Boolean.parseBoolean(parser.get("filterInvisible"));
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log.info("filterInvisible: {}", filterInvisible);
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SparkConf conf = new SparkConf();
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runWithSparkSession(
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conf,
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isSparkSessionManaged,
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spark -> dispatchEntities(spark, inputPath, outputPath, filterInvisible));
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}
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private static void dispatchEntities(
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SparkSession spark,
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String inputPath,
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String outputPath,
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boolean filterInvisible) {
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Dataset<String> df = spark.read().textFile(inputPath);
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ModelSupport.oafTypes.entrySet().parallelStream().forEach(entry -> {
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String entityType = entry.getKey();
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Class<?> clazz = entry.getValue();
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final String entityPath = outputPath + "/" + entityType;
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if (!entityType.equalsIgnoreCase("relation")) {
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HdfsSupport.remove(entityPath, spark.sparkContext().hadoopConfiguration());
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Dataset<Row> entityDF = spark
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.read()
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.schema(Encoders.bean(clazz).schema())
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.json(
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df
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.filter((FilterFunction<String>) s -> s.startsWith(clazz.getName()))
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.map(
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(MapFunction<String, String>) s -> StringUtils.substringAfter(s, "|"),
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Encoders.STRING()));
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if (filterInvisible) {
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entityDF = entityDF.filter("dataInfo.invisible != true");
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}
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entityDF
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.write()
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.mode(SaveMode.Overwrite)
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.option("compression", "gzip")
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.json(entityPath);
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}
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});
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}
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}
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@ -2,36 +2,28 @@
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package eu.dnetlib.dhp.oa.merge;
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package eu.dnetlib.dhp.oa.merge;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import static eu.dnetlib.dhp.utils.DHPUtils.toSeq;
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import static org.apache.spark.sql.functions.col;
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import static org.apache.spark.sql.functions.when;
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import java.io.IOException;
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import java.util.Map;
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import java.util.List;
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import java.util.Objects;
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import java.util.Optional;
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import java.util.Optional;
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import java.util.concurrent.ExecutionException;
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import java.util.concurrent.ForkJoinPool;
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import java.util.stream.Collectors;
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import java.util.stream.Collectors;
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import org.apache.commons.io.IOUtils;
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import org.apache.commons.io.IOUtils;
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import org.apache.commons.lang3.StringUtils;
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import org.apache.spark.SparkConf;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.JavaSparkContext;
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import org.apache.spark.api.java.function.FilterFunction;
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import org.apache.spark.api.java.function.MapFunction;
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import org.apache.spark.api.java.function.MapFunction;
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import org.apache.spark.api.java.function.ReduceFunction;
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import org.apache.spark.sql.*;
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import org.apache.spark.sql.*;
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import org.apache.spark.sql.expressions.Aggregator;
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import org.slf4j.Logger;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import org.slf4j.LoggerFactory;
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import com.fasterxml.jackson.databind.DeserializationFeature;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import com.jayway.jsonpath.Configuration;
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import com.jayway.jsonpath.DocumentContext;
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import com.jayway.jsonpath.JsonPath;
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import com.jayway.jsonpath.Option;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.common.HdfsSupport;
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import eu.dnetlib.dhp.common.HdfsSupport;
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import eu.dnetlib.dhp.schema.common.EntityType;
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import eu.dnetlib.dhp.schema.common.ModelSupport;
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import eu.dnetlib.dhp.schema.common.ModelSupport;
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import eu.dnetlib.dhp.schema.oaf.*;
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import eu.dnetlib.dhp.schema.oaf.OafEntity;
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import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
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import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
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import scala.Tuple2;
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import scala.Tuple2;
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@ -39,13 +31,9 @@ import scala.Tuple2;
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* Groups the graph content by entity identifier to ensure ID uniqueness
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* Groups the graph content by entity identifier to ensure ID uniqueness
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*/
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*/
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public class GroupEntitiesSparkJob {
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public class GroupEntitiesSparkJob {
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private static final Logger log = LoggerFactory.getLogger(GroupEntitiesSparkJob.class);
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private static final Logger log = LoggerFactory.getLogger(GroupEntitiesSparkJob.class);
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private static final String ID_JPATH = "$.id";
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private static final Encoder<OafEntity> OAFENTITY_KRYO_ENC = Encoders.kryo(OafEntity.class);
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper()
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.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
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public static void main(String[] args) throws Exception {
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public static void main(String[] args) throws Exception {
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@ -66,9 +54,15 @@ public class GroupEntitiesSparkJob {
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String graphInputPath = parser.get("graphInputPath");
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String graphInputPath = parser.get("graphInputPath");
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log.info("graphInputPath: {}", graphInputPath);
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log.info("graphInputPath: {}", graphInputPath);
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String checkpointPath = parser.get("checkpointPath");
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log.info("checkpointPath: {}", checkpointPath);
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String outputPath = parser.get("outputPath");
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String outputPath = parser.get("outputPath");
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log.info("outputPath: {}", outputPath);
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log.info("outputPath: {}", outputPath);
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boolean filterInvisible = Boolean.valueOf(parser.get("filterInvisible"));
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log.info("filterInvisible: {}", filterInvisible);
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|
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SparkConf conf = new SparkConf();
|
SparkConf conf = new SparkConf();
|
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conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
|
conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
|
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conf.registerKryoClasses(ModelSupport.getOafModelClasses());
|
conf.registerKryoClasses(ModelSupport.getOafModelClasses());
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|
@ -77,127 +71,96 @@ public class GroupEntitiesSparkJob {
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conf,
|
conf,
|
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isSparkSessionManaged,
|
isSparkSessionManaged,
|
||||||
spark -> {
|
spark -> {
|
||||||
HdfsSupport.remove(outputPath, spark.sparkContext().hadoopConfiguration());
|
HdfsSupport.remove(checkpointPath, spark.sparkContext().hadoopConfiguration());
|
||||||
groupEntities(spark, graphInputPath, outputPath);
|
groupEntities(spark, graphInputPath, checkpointPath, outputPath, filterInvisible);
|
||||||
});
|
});
|
||||||
}
|
}
|
||||||
|
|
||||||
private static void groupEntities(
|
private static void groupEntities(
|
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SparkSession spark,
|
SparkSession spark,
|
||||||
String inputPath,
|
String inputPath,
|
||||||
String outputPath) {
|
String checkpointPath,
|
||||||
|
String outputPath,
|
||||||
|
boolean filterInvisible) {
|
||||||
|
|
||||||
|
Dataset<OafEntity> allEntities = spark.emptyDataset(OAFENTITY_KRYO_ENC);
|
||||||
|
|
||||||
|
for (Map.Entry<EntityType, Class> e : ModelSupport.entityTypes.entrySet()) {
|
||||||
|
String entity = e.getKey().name();
|
||||||
|
Class<? extends OafEntity> entityClass = e.getValue();
|
||||||
|
String entityInputPath = inputPath + "/" + entity;
|
||||||
|
|
||||||
|
if (!HdfsSupport.exists(entityInputPath, spark.sparkContext().hadoopConfiguration())) {
|
||||||
|
continue;
|
||||||
|
}
|
||||||
|
|
||||||
|
allEntities = allEntities
|
||||||
|
.union(
|
||||||
|
((Dataset<OafEntity>) spark
|
||||||
|
.read()
|
||||||
|
.schema(Encoders.bean(entityClass).schema())
|
||||||
|
.json(entityInputPath)
|
||||||
|
.filter("length(id) > 0")
|
||||||
|
.as(Encoders.bean(entityClass)))
|
||||||
|
.map((MapFunction<OafEntity, OafEntity>) r -> r, OAFENTITY_KRYO_ENC));
|
||||||
|
}
|
||||||
|
|
||||||
|
Dataset<?> groupedEntities = allEntities
|
||||||
|
.groupByKey((MapFunction<OafEntity, String>) OafEntity::getId, Encoders.STRING())
|
||||||
|
.reduceGroups((ReduceFunction<OafEntity>) (b, a) -> OafMapperUtils.mergeEntities(b, a))
|
||||||
|
.map(
|
||||||
|
(MapFunction<Tuple2<String, OafEntity>, Tuple2<String, OafEntity>>) t -> new Tuple2(
|
||||||
|
t._2().getClass().getName(), t._2()),
|
||||||
|
Encoders.tuple(Encoders.STRING(), OAFENTITY_KRYO_ENC));
|
||||||
|
|
||||||
|
// pivot on "_1" (classname of the entity)
|
||||||
|
// created columns containing only entities of the same class
|
||||||
|
for (Map.Entry<EntityType, Class> e : ModelSupport.entityTypes.entrySet()) {
|
||||||
|
String entity = e.getKey().name();
|
||||||
|
Class<? extends OafEntity> entityClass = e.getValue();
|
||||||
|
|
||||||
|
groupedEntities = groupedEntities
|
||||||
|
.withColumn(
|
||||||
|
entity,
|
||||||
|
when(col("_1").equalTo(entityClass.getName()), col("_2")));
|
||||||
|
}
|
||||||
|
|
||||||
|
groupedEntities
|
||||||
|
.drop("_1", "_2")
|
||||||
|
.write()
|
||||||
|
.mode(SaveMode.Overwrite)
|
||||||
|
.option("compression", "gzip")
|
||||||
|
.save(checkpointPath);
|
||||||
|
|
||||||
|
ForkJoinPool parPool = new ForkJoinPool(ModelSupport.entityTypes.size());
|
||||||
|
|
||||||
|
ModelSupport.entityTypes
|
||||||
|
.entrySet()
|
||||||
|
.stream()
|
||||||
|
.map(e -> parPool.submit(() -> {
|
||||||
|
String entity = e.getKey().name();
|
||||||
|
Class<? extends OafEntity> entityClass = e.getValue();
|
||||||
|
|
||||||
final TypedColumn<OafEntity, OafEntity> aggregator = new GroupingAggregator().toColumn();
|
|
||||||
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
|
||||||
spark
|
spark
|
||||||
.read()
|
.read()
|
||||||
.textFile(toSeq(listEntityPaths(inputPath, sc)))
|
.load(checkpointPath)
|
||||||
.map((MapFunction<String, OafEntity>) GroupEntitiesSparkJob::parseOaf, Encoders.kryo(OafEntity.class))
|
.select(col(entity).as("value"))
|
||||||
.filter((FilterFunction<OafEntity>) e -> StringUtils.isNotBlank(ModelSupport.idFn().apply(e)))
|
.filter("value IS NOT NULL")
|
||||||
.groupByKey((MapFunction<OafEntity, String>) oaf -> ModelSupport.idFn().apply(oaf), Encoders.STRING())
|
.as(OAFENTITY_KRYO_ENC)
|
||||||
.agg(aggregator)
|
.map((MapFunction<OafEntity, OafEntity>) r -> r, (Encoder<OafEntity>) Encoders.bean(entityClass))
|
||||||
.map(
|
.filter(filterInvisible ? "dataInfo.invisible != TRUE" : "TRUE")
|
||||||
(MapFunction<Tuple2<String, OafEntity>, String>) t -> t._2().getClass().getName() +
|
|
||||||
"|" + OBJECT_MAPPER.writeValueAsString(t._2()),
|
|
||||||
Encoders.STRING())
|
|
||||||
.write()
|
.write()
|
||||||
.option("compression", "gzip")
|
|
||||||
.mode(SaveMode.Overwrite)
|
.mode(SaveMode.Overwrite)
|
||||||
.text(outputPath);
|
.option("compression", "gzip")
|
||||||
}
|
.json(outputPath + "/" + entity);
|
||||||
|
}))
|
||||||
public static class GroupingAggregator extends Aggregator<OafEntity, OafEntity, OafEntity> {
|
.collect(Collectors.toList())
|
||||||
|
.forEach(t -> {
|
||||||
@Override
|
|
||||||
public OafEntity zero() {
|
|
||||||
return null;
|
|
||||||
}
|
|
||||||
|
|
||||||
@Override
|
|
||||||
public OafEntity reduce(OafEntity b, OafEntity a) {
|
|
||||||
return mergeAndGet(b, a);
|
|
||||||
}
|
|
||||||
|
|
||||||
private OafEntity mergeAndGet(OafEntity b, OafEntity a) {
|
|
||||||
if (Objects.nonNull(a) && Objects.nonNull(b)) {
|
|
||||||
return OafMapperUtils.mergeEntities(b, a);
|
|
||||||
}
|
|
||||||
return Objects.isNull(a) ? b : a;
|
|
||||||
}
|
|
||||||
|
|
||||||
@Override
|
|
||||||
public OafEntity merge(OafEntity b, OafEntity a) {
|
|
||||||
return mergeAndGet(b, a);
|
|
||||||
}
|
|
||||||
|
|
||||||
@Override
|
|
||||||
public OafEntity finish(OafEntity j) {
|
|
||||||
return j;
|
|
||||||
}
|
|
||||||
|
|
||||||
@Override
|
|
||||||
public Encoder<OafEntity> bufferEncoder() {
|
|
||||||
return Encoders.kryo(OafEntity.class);
|
|
||||||
}
|
|
||||||
|
|
||||||
@Override
|
|
||||||
public Encoder<OafEntity> outputEncoder() {
|
|
||||||
return Encoders.kryo(OafEntity.class);
|
|
||||||
}
|
|
||||||
|
|
||||||
}
|
|
||||||
|
|
||||||
private static OafEntity parseOaf(String s) {
|
|
||||||
|
|
||||||
DocumentContext dc = JsonPath
|
|
||||||
.parse(s, Configuration.defaultConfiguration().addOptions(Option.SUPPRESS_EXCEPTIONS));
|
|
||||||
final String id = dc.read(ID_JPATH);
|
|
||||||
if (StringUtils.isNotBlank(id)) {
|
|
||||||
|
|
||||||
String prefix = StringUtils.substringBefore(id, "|");
|
|
||||||
switch (prefix) {
|
|
||||||
case "10":
|
|
||||||
return parse(s, Datasource.class);
|
|
||||||
case "20":
|
|
||||||
return parse(s, Organization.class);
|
|
||||||
case "40":
|
|
||||||
return parse(s, Project.class);
|
|
||||||
case "50":
|
|
||||||
String resultType = dc.read("$.resulttype.classid");
|
|
||||||
switch (resultType) {
|
|
||||||
case "publication":
|
|
||||||
return parse(s, Publication.class);
|
|
||||||
case "dataset":
|
|
||||||
return parse(s, eu.dnetlib.dhp.schema.oaf.Dataset.class);
|
|
||||||
case "software":
|
|
||||||
return parse(s, Software.class);
|
|
||||||
case "other":
|
|
||||||
return parse(s, OtherResearchProduct.class);
|
|
||||||
default:
|
|
||||||
throw new IllegalArgumentException(String.format("invalid resultType: '%s'", resultType));
|
|
||||||
}
|
|
||||||
default:
|
|
||||||
throw new IllegalArgumentException(String.format("invalid id prefix: '%s'", prefix));
|
|
||||||
}
|
|
||||||
} else {
|
|
||||||
throw new IllegalArgumentException(String.format("invalid oaf: '%s'", s));
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
private static <T extends OafEntity> OafEntity parse(String s, Class<T> clazz) {
|
|
||||||
try {
|
try {
|
||||||
return OBJECT_MAPPER.readValue(s, clazz);
|
t.get();
|
||||||
} catch (IOException e) {
|
} catch (InterruptedException | ExecutionException e) {
|
||||||
throw new IllegalArgumentException(e);
|
throw new RuntimeException(e);
|
||||||
|
}
|
||||||
|
});
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
private static List<String> listEntityPaths(String inputPath, JavaSparkContext sc) {
|
|
||||||
return HdfsSupport
|
|
||||||
.listFiles(inputPath, sc.hadoopConfiguration())
|
|
||||||
.stream()
|
|
||||||
.filter(f -> !f.toLowerCase().contains("relation"))
|
|
||||||
.collect(Collectors.toList());
|
|
||||||
}
|
|
||||||
|
|
||||||
}
|
|
||||||
|
|
|
@ -36,6 +36,19 @@ public class GraphCleaningFunctions extends CleaningFunctions {
|
||||||
|
|
||||||
public static final int TITLE_FILTER_RESIDUAL_LENGTH = 5;
|
public static final int TITLE_FILTER_RESIDUAL_LENGTH = 5;
|
||||||
private static final String NAME_CLEANING_REGEX = "[\\r\\n\\t\\s]+";
|
private static final String NAME_CLEANING_REGEX = "[\\r\\n\\t\\s]+";
|
||||||
|
private static final HashSet<String> PEER_REVIEWED_TYPES = new HashSet<>();
|
||||||
|
|
||||||
|
static {
|
||||||
|
PEER_REVIEWED_TYPES.add("Article");
|
||||||
|
PEER_REVIEWED_TYPES.add("Part of book or chapter of book");
|
||||||
|
PEER_REVIEWED_TYPES.add("Book");
|
||||||
|
PEER_REVIEWED_TYPES.add("Doctoral thesis");
|
||||||
|
PEER_REVIEWED_TYPES.add("Master thesis");
|
||||||
|
PEER_REVIEWED_TYPES.add("Data Paper");
|
||||||
|
PEER_REVIEWED_TYPES.add("Thesis");
|
||||||
|
PEER_REVIEWED_TYPES.add("Bachelor thesis");
|
||||||
|
PEER_REVIEWED_TYPES.add("Conference object");
|
||||||
|
}
|
||||||
|
|
||||||
public static <T extends Oaf> T cleanContext(T value, String contextId, String verifyParam) {
|
public static <T extends Oaf> T cleanContext(T value, String contextId, String verifyParam) {
|
||||||
if (ModelSupport.isSubClass(value, Result.class)) {
|
if (ModelSupport.isSubClass(value, Result.class)) {
|
||||||
|
@ -273,6 +286,12 @@ public class GraphCleaningFunctions extends CleaningFunctions {
|
||||||
|
|
||||||
public static <T extends Oaf> T cleanup(T value, VocabularyGroup vocs) {
|
public static <T extends Oaf> T cleanup(T value, VocabularyGroup vocs) {
|
||||||
|
|
||||||
|
if (Objects.isNull(value.getDataInfo())) {
|
||||||
|
final DataInfo d = new DataInfo();
|
||||||
|
d.setDeletedbyinference(false);
|
||||||
|
value.setDataInfo(d);
|
||||||
|
}
|
||||||
|
|
||||||
if (value instanceof OafEntity) {
|
if (value instanceof OafEntity) {
|
||||||
|
|
||||||
OafEntity e = (OafEntity) value;
|
OafEntity e = (OafEntity) value;
|
||||||
|
@ -292,6 +311,10 @@ public class GraphCleaningFunctions extends CleaningFunctions {
|
||||||
} else if (value instanceof Result) {
|
} else if (value instanceof Result) {
|
||||||
Result r = (Result) value;
|
Result r = (Result) value;
|
||||||
|
|
||||||
|
if (Objects.isNull(r.getContext())) {
|
||||||
|
r.setContext(new ArrayList<>());
|
||||||
|
}
|
||||||
|
|
||||||
if (Objects.nonNull(r.getFulltext())
|
if (Objects.nonNull(r.getFulltext())
|
||||||
&& (ModelConstants.SOFTWARE_RESULTTYPE_CLASSID.equals(r.getResulttype().getClassid()) ||
|
&& (ModelConstants.SOFTWARE_RESULTTYPE_CLASSID.equals(r.getResulttype().getClassid()) ||
|
||||||
ModelConstants.DATASET_RESULTTYPE_CLASSID.equals(r.getResulttype().getClassid()))) {
|
ModelConstants.DATASET_RESULTTYPE_CLASSID.equals(r.getResulttype().getClassid()))) {
|
||||||
|
@ -493,6 +516,35 @@ public class GraphCleaningFunctions extends CleaningFunctions {
|
||||||
if (Objects.isNull(i.getRefereed()) || StringUtils.isBlank(i.getRefereed().getClassid())) {
|
if (Objects.isNull(i.getRefereed()) || StringUtils.isBlank(i.getRefereed().getClassid())) {
|
||||||
i.setRefereed(qualifier("0000", "Unknown", ModelConstants.DNET_REVIEW_LEVELS));
|
i.setRefereed(qualifier("0000", "Unknown", ModelConstants.DNET_REVIEW_LEVELS));
|
||||||
}
|
}
|
||||||
|
|
||||||
|
// from the script from Dimitris
|
||||||
|
if ("0000".equals(i.getRefereed().getClassid())) {
|
||||||
|
final boolean isFromCrossref = Optional
|
||||||
|
.ofNullable(i.getCollectedfrom())
|
||||||
|
.map(KeyValue::getKey)
|
||||||
|
.map(id -> id.equals(ModelConstants.CROSSREF_ID))
|
||||||
|
.orElse(false);
|
||||||
|
final boolean hasDoi = Optional
|
||||||
|
.ofNullable(i.getPid())
|
||||||
|
.map(
|
||||||
|
pid -> pid
|
||||||
|
.stream()
|
||||||
|
.anyMatch(
|
||||||
|
p -> PidType.doi.toString().equals(p.getQualifier().getClassid())))
|
||||||
|
.orElse(false);
|
||||||
|
final boolean isPeerReviewedType = PEER_REVIEWED_TYPES
|
||||||
|
.contains(i.getInstancetype().getClassname());
|
||||||
|
final boolean noOtherLitType = r
|
||||||
|
.getInstance()
|
||||||
|
.stream()
|
||||||
|
.noneMatch(ii -> "Other literature type".equals(ii.getInstancetype().getClassname()));
|
||||||
|
if (isFromCrossref && hasDoi && isPeerReviewedType && noOtherLitType) {
|
||||||
|
i.setRefereed(qualifier("0001", "peerReviewed", ModelConstants.DNET_REVIEW_LEVELS));
|
||||||
|
} else {
|
||||||
|
i.setRefereed(qualifier("0002", "nonPeerReviewed", ModelConstants.DNET_REVIEW_LEVELS));
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
if (Objects.nonNull(i.getDateofacceptance())) {
|
if (Objects.nonNull(i.getDateofacceptance())) {
|
||||||
Optional<String> date = cleanDateField(i.getDateofacceptance());
|
Optional<String> date = cleanDateField(i.getDateofacceptance());
|
||||||
if (date.isPresent()) {
|
if (date.isPresent()) {
|
||||||
|
|
|
@ -1,26 +0,0 @@
|
||||||
[
|
|
||||||
{
|
|
||||||
"paramName": "issm",
|
|
||||||
"paramLongName": "isSparkSessionManaged",
|
|
||||||
"paramDescription": "when true will stop SparkSession after job execution",
|
|
||||||
"paramRequired": false
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"paramName": "i",
|
|
||||||
"paramLongName": "inputPath",
|
|
||||||
"paramDescription": "the source path",
|
|
||||||
"paramRequired": true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"paramName": "o",
|
|
||||||
"paramLongName": "outputPath",
|
|
||||||
"paramDescription": "path of the output graph",
|
|
||||||
"paramRequired": true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"paramName": "fi",
|
|
||||||
"paramLongName": "filterInvisible",
|
|
||||||
"paramDescription": "if true filters out invisible entities",
|
|
||||||
"paramRequired": true
|
|
||||||
}
|
|
||||||
]
|
|
|
@ -8,13 +8,25 @@
|
||||||
{
|
{
|
||||||
"paramName": "gin",
|
"paramName": "gin",
|
||||||
"paramLongName": "graphInputPath",
|
"paramLongName": "graphInputPath",
|
||||||
"paramDescription": "the graph root path",
|
"paramDescription": "the input graph root path",
|
||||||
|
"paramRequired": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "cp",
|
||||||
|
"paramLongName": "checkpointPath",
|
||||||
|
"paramDescription": "checkpoint directory",
|
||||||
"paramRequired": true
|
"paramRequired": true
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"paramName": "out",
|
"paramName": "out",
|
||||||
"paramLongName": "outputPath",
|
"paramLongName": "outputPath",
|
||||||
"paramDescription": "the output merged graph root path",
|
"paramDescription": "the output graph root path",
|
||||||
|
"paramRequired": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "fi",
|
||||||
|
"paramLongName": "filterInvisible",
|
||||||
|
"paramDescription": "if true filters out invisible entities",
|
||||||
"paramRequired": true
|
"paramRequired": true
|
||||||
}
|
}
|
||||||
]
|
]
|
|
@ -1,24 +1,6 @@
|
||||||
|
|
||||||
package eu.dnetlib.pace.util;
|
package eu.dnetlib.pace.util;
|
||||||
|
|
||||||
/*
|
|
||||||
* Diff Match and Patch
|
|
||||||
* Copyright 2018 The diff-match-patch Authors.
|
|
||||||
* https://github.com/google/diff-match-patch
|
|
||||||
*
|
|
||||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
|
||||||
* you may not use this file except in compliance with the License.
|
|
||||||
* You may obtain a copy of the License at
|
|
||||||
*
|
|
||||||
* http://www.apache.org/licenses/LICENSE-2.0
|
|
||||||
*
|
|
||||||
* Unless required by applicable law or agreed to in writing, software
|
|
||||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
|
||||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
||||||
* See the License for the specific language governing permissions and
|
|
||||||
* limitations under the License.
|
|
||||||
*/
|
|
||||||
|
|
||||||
/*
|
/*
|
||||||
* Diff Match and Patch
|
* Diff Match and Patch
|
||||||
* Copyright 2018 The diff-match-patch Authors.
|
* Copyright 2018 The diff-match-patch Authors.
|
||||||
|
|
|
@ -40,6 +40,7 @@ public class Constants {
|
||||||
public static final String SDG_CLASS_NAME = "Sustainable Development Goals";
|
public static final String SDG_CLASS_NAME = "Sustainable Development Goals";
|
||||||
|
|
||||||
public static final String NULL = "NULL";
|
public static final String NULL = "NULL";
|
||||||
|
public static final String NA = "N/A";
|
||||||
|
|
||||||
public static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
public static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
||||||
|
|
||||||
|
@ -61,10 +62,16 @@ public class Constants {
|
||||||
.map((MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz));
|
.map((MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz));
|
||||||
}
|
}
|
||||||
|
|
||||||
public static Subject getSubject(String sbj, String classid, String classname,
|
public static Subject getSubject(String sbj, String classid, String classname, String diqualifierclassid,
|
||||||
String diqualifierclassid) {
|
Boolean split) {
|
||||||
if (sbj == null || sbj.equals(NULL))
|
if (sbj == null || sbj.equals(NULL) || sbj.startsWith(NA))
|
||||||
return null;
|
return null;
|
||||||
|
String trust = "";
|
||||||
|
String subject = sbj;
|
||||||
|
if (split) {
|
||||||
|
sbj = subject.split("@@")[0];
|
||||||
|
trust = subject.split("@@")[1];
|
||||||
|
}
|
||||||
Subject s = new Subject();
|
Subject s = new Subject();
|
||||||
s.setValue(sbj);
|
s.setValue(sbj);
|
||||||
s
|
s
|
||||||
|
@ -89,9 +96,14 @@ public class Constants {
|
||||||
UPDATE_CLASS_NAME,
|
UPDATE_CLASS_NAME,
|
||||||
ModelConstants.DNET_PROVENANCE_ACTIONS,
|
ModelConstants.DNET_PROVENANCE_ACTIONS,
|
||||||
ModelConstants.DNET_PROVENANCE_ACTIONS),
|
ModelConstants.DNET_PROVENANCE_ACTIONS),
|
||||||
""));
|
trust));
|
||||||
|
|
||||||
return s;
|
return s;
|
||||||
|
}
|
||||||
|
|
||||||
|
public static Subject getSubject(String sbj, String classid, String classname,
|
||||||
|
String diqualifierclassid) {
|
||||||
|
return getSubject(sbj, classid, classname, diqualifierclassid, false);
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
|
@ -75,9 +75,12 @@ public class GetFOSSparkJob implements Serializable {
|
||||||
fosData.map((MapFunction<Row, FOSDataModel>) r -> {
|
fosData.map((MapFunction<Row, FOSDataModel>) r -> {
|
||||||
FOSDataModel fosDataModel = new FOSDataModel();
|
FOSDataModel fosDataModel = new FOSDataModel();
|
||||||
fosDataModel.setDoi(r.getString(0).toLowerCase());
|
fosDataModel.setDoi(r.getString(0).toLowerCase());
|
||||||
fosDataModel.setLevel1(r.getString(1));
|
fosDataModel.setLevel1(r.getString(2));
|
||||||
fosDataModel.setLevel2(r.getString(2));
|
fosDataModel.setLevel2(r.getString(3));
|
||||||
fosDataModel.setLevel3(r.getString(3));
|
fosDataModel.setLevel3(r.getString(4));
|
||||||
|
fosDataModel.setLevel4(r.getString(5));
|
||||||
|
fosDataModel.setScoreL3(String.valueOf(r.getDouble(6)));
|
||||||
|
fosDataModel.setScoreL4(String.valueOf(r.getDouble(7)));
|
||||||
return fosDataModel;
|
return fosDataModel;
|
||||||
}, Encoders.bean(FOSDataModel.class))
|
}, Encoders.bean(FOSDataModel.class))
|
||||||
.write()
|
.write()
|
||||||
|
|
|
@ -1,178 +0,0 @@
|
||||||
|
|
||||||
package eu.dnetlib.dhp.actionmanager.createunresolvedentities;
|
|
||||||
|
|
||||||
import static eu.dnetlib.dhp.actionmanager.Constants.*;
|
|
||||||
import static eu.dnetlib.dhp.actionmanager.Constants.UPDATE_CLASS_NAME;
|
|
||||||
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
|
|
||||||
|
|
||||||
import java.io.Serializable;
|
|
||||||
import java.util.Arrays;
|
|
||||||
import java.util.List;
|
|
||||||
import java.util.Optional;
|
|
||||||
import java.util.stream.Collectors;
|
|
||||||
|
|
||||||
import org.apache.commons.io.IOUtils;
|
|
||||||
import org.apache.spark.SparkConf;
|
|
||||||
import org.apache.spark.api.java.JavaRDD;
|
|
||||||
import org.apache.spark.api.java.JavaSparkContext;
|
|
||||||
import org.apache.spark.api.java.function.MapFunction;
|
|
||||||
import org.apache.spark.sql.Encoders;
|
|
||||||
import org.apache.spark.sql.SaveMode;
|
|
||||||
import org.apache.spark.sql.SparkSession;
|
|
||||||
import org.slf4j.Logger;
|
|
||||||
import org.slf4j.LoggerFactory;
|
|
||||||
|
|
||||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
|
||||||
|
|
||||||
import eu.dnetlib.dhp.actionmanager.bipmodel.BipScore;
|
|
||||||
import eu.dnetlib.dhp.actionmanager.bipmodel.score.deserializers.BipResultModel;
|
|
||||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
|
||||||
import eu.dnetlib.dhp.common.HdfsSupport;
|
|
||||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
|
||||||
import eu.dnetlib.dhp.schema.oaf.Instance;
|
|
||||||
import eu.dnetlib.dhp.schema.oaf.KeyValue;
|
|
||||||
import eu.dnetlib.dhp.schema.oaf.Measure;
|
|
||||||
import eu.dnetlib.dhp.schema.oaf.Result;
|
|
||||||
import eu.dnetlib.dhp.schema.oaf.utils.CleaningFunctions;
|
|
||||||
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
|
|
||||||
import eu.dnetlib.dhp.utils.DHPUtils;
|
|
||||||
|
|
||||||
public class PrepareBipFinder implements Serializable {
|
|
||||||
|
|
||||||
private static final Logger log = LoggerFactory.getLogger(PrepareBipFinder.class);
|
|
||||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
|
||||||
|
|
||||||
public static void main(String[] args) throws Exception {
|
|
||||||
|
|
||||||
String jsonConfiguration = IOUtils
|
|
||||||
.toString(
|
|
||||||
PrepareBipFinder.class
|
|
||||||
.getResourceAsStream(
|
|
||||||
"/eu/dnetlib/dhp/actionmanager/createunresolvedentities/prepare_parameters.json"));
|
|
||||||
|
|
||||||
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
|
|
||||||
|
|
||||||
parser.parseArgument(args);
|
|
||||||
|
|
||||||
Boolean isSparkSessionManaged = Optional
|
|
||||||
.ofNullable(parser.get("isSparkSessionManaged"))
|
|
||||||
.map(Boolean::valueOf)
|
|
||||||
.orElse(Boolean.TRUE);
|
|
||||||
|
|
||||||
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
|
|
||||||
|
|
||||||
final String sourcePath = parser.get("sourcePath");
|
|
||||||
log.info("sourcePath {}: ", sourcePath);
|
|
||||||
|
|
||||||
final String outputPath = parser.get("outputPath");
|
|
||||||
log.info("outputPath {}: ", outputPath);
|
|
||||||
|
|
||||||
SparkConf conf = new SparkConf();
|
|
||||||
|
|
||||||
runWithSparkSession(
|
|
||||||
conf,
|
|
||||||
isSparkSessionManaged,
|
|
||||||
spark -> {
|
|
||||||
HdfsSupport.remove(outputPath, spark.sparkContext().hadoopConfiguration());
|
|
||||||
prepareResults(spark, sourcePath, outputPath);
|
|
||||||
});
|
|
||||||
}
|
|
||||||
|
|
||||||
private static void prepareResults(SparkSession spark, String inputPath, String outputPath) {
|
|
||||||
|
|
||||||
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
|
||||||
|
|
||||||
JavaRDD<BipResultModel> bipDeserializeJavaRDD = sc
|
|
||||||
.textFile(inputPath)
|
|
||||||
.map(item -> OBJECT_MAPPER.readValue(item, BipResultModel.class));
|
|
||||||
|
|
||||||
spark
|
|
||||||
.createDataset(bipDeserializeJavaRDD.flatMap(entry -> entry.keySet().stream().map(key -> {
|
|
||||||
BipScore bs = new BipScore();
|
|
||||||
bs.setId(key);
|
|
||||||
bs.setScoreList(entry.get(key));
|
|
||||||
|
|
||||||
return bs;
|
|
||||||
}).collect(Collectors.toList()).iterator()).rdd(), Encoders.bean(BipScore.class))
|
|
||||||
.map((MapFunction<BipScore, Result>) v -> {
|
|
||||||
Result r = new Result();
|
|
||||||
final String cleanedPid = CleaningFunctions.normalizePidValue(DOI, v.getId());
|
|
||||||
|
|
||||||
r.setId(DHPUtils.generateUnresolvedIdentifier(v.getId(), DOI));
|
|
||||||
Instance inst = new Instance();
|
|
||||||
inst.setMeasures(getMeasure(v));
|
|
||||||
|
|
||||||
inst
|
|
||||||
.setPid(
|
|
||||||
Arrays
|
|
||||||
.asList(
|
|
||||||
OafMapperUtils
|
|
||||||
.structuredProperty(
|
|
||||||
cleanedPid,
|
|
||||||
OafMapperUtils
|
|
||||||
.qualifier(
|
|
||||||
DOI, DOI_CLASSNAME,
|
|
||||||
ModelConstants.DNET_PID_TYPES,
|
|
||||||
ModelConstants.DNET_PID_TYPES),
|
|
||||||
null)));
|
|
||||||
r.setInstance(Arrays.asList(inst));
|
|
||||||
r
|
|
||||||
.setDataInfo(
|
|
||||||
OafMapperUtils
|
|
||||||
.dataInfo(
|
|
||||||
false, null, true,
|
|
||||||
false,
|
|
||||||
OafMapperUtils
|
|
||||||
.qualifier(
|
|
||||||
ModelConstants.PROVENANCE_ENRICH,
|
|
||||||
null,
|
|
||||||
ModelConstants.DNET_PROVENANCE_ACTIONS,
|
|
||||||
ModelConstants.DNET_PROVENANCE_ACTIONS),
|
|
||||||
null));
|
|
||||||
return r;
|
|
||||||
}, Encoders.bean(Result.class))
|
|
||||||
.write()
|
|
||||||
.mode(SaveMode.Overwrite)
|
|
||||||
.option("compression", "gzip")
|
|
||||||
.json(outputPath + "/bip");
|
|
||||||
}
|
|
||||||
|
|
||||||
private static List<Measure> getMeasure(BipScore value) {
|
|
||||||
return value
|
|
||||||
.getScoreList()
|
|
||||||
.stream()
|
|
||||||
.map(score -> {
|
|
||||||
Measure m = new Measure();
|
|
||||||
m.setId(score.getId());
|
|
||||||
m
|
|
||||||
.setUnit(
|
|
||||||
score
|
|
||||||
.getUnit()
|
|
||||||
.stream()
|
|
||||||
.map(unit -> {
|
|
||||||
KeyValue kv = new KeyValue();
|
|
||||||
kv.setValue(unit.getValue());
|
|
||||||
kv.setKey(unit.getKey());
|
|
||||||
kv
|
|
||||||
.setDataInfo(
|
|
||||||
OafMapperUtils
|
|
||||||
.dataInfo(
|
|
||||||
false,
|
|
||||||
UPDATE_DATA_INFO_TYPE,
|
|
||||||
true,
|
|
||||||
false,
|
|
||||||
OafMapperUtils
|
|
||||||
.qualifier(
|
|
||||||
UPDATE_MEASURE_BIP_CLASS_ID,
|
|
||||||
UPDATE_CLASS_NAME,
|
|
||||||
ModelConstants.DNET_PROVENANCE_ACTIONS,
|
|
||||||
ModelConstants.DNET_PROVENANCE_ACTIONS),
|
|
||||||
""));
|
|
||||||
return kv;
|
|
||||||
})
|
|
||||||
.collect(Collectors.toList()));
|
|
||||||
return m;
|
|
||||||
})
|
|
||||||
.collect(Collectors.toList());
|
|
||||||
}
|
|
||||||
}
|
|
|
@ -78,12 +78,20 @@ public class PrepareFOSSparkJob implements Serializable {
|
||||||
HashSet<String> level1 = new HashSet<>();
|
HashSet<String> level1 = new HashSet<>();
|
||||||
HashSet<String> level2 = new HashSet<>();
|
HashSet<String> level2 = new HashSet<>();
|
||||||
HashSet<String> level3 = new HashSet<>();
|
HashSet<String> level3 = new HashSet<>();
|
||||||
addLevels(level1, level2, level3, first);
|
HashSet<String> level4 = new HashSet<>();
|
||||||
it.forEachRemaining(v -> addLevels(level1, level2, level3, v));
|
addLevels(level1, level2, level3, level4, first);
|
||||||
|
it.forEachRemaining(v -> addLevels(level1, level2, level3, level4, v));
|
||||||
List<Subject> sbjs = new ArrayList<>();
|
List<Subject> sbjs = new ArrayList<>();
|
||||||
level1.forEach(l -> sbjs.add(getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID)));
|
level1
|
||||||
level2.forEach(l -> sbjs.add(getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID)));
|
.forEach(l -> add(sbjs, getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID)));
|
||||||
level3.forEach(l -> sbjs.add(getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID)));
|
level2
|
||||||
|
.forEach(l -> add(sbjs, getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID)));
|
||||||
|
level3
|
||||||
|
.forEach(
|
||||||
|
l -> add(sbjs, getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID, true)));
|
||||||
|
level4
|
||||||
|
.forEach(
|
||||||
|
l -> add(sbjs, getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID, true)));
|
||||||
r.setSubject(sbjs);
|
r.setSubject(sbjs);
|
||||||
r
|
r
|
||||||
.setDataInfo(
|
.setDataInfo(
|
||||||
|
@ -106,11 +114,18 @@ public class PrepareFOSSparkJob implements Serializable {
|
||||||
.json(outputPath + "/fos");
|
.json(outputPath + "/fos");
|
||||||
}
|
}
|
||||||
|
|
||||||
|
private static void add(List<Subject> sbsjs, Subject sbj) {
|
||||||
|
if (sbj != null)
|
||||||
|
sbsjs.add(sbj);
|
||||||
|
}
|
||||||
|
|
||||||
private static void addLevels(HashSet<String> level1, HashSet<String> level2, HashSet<String> level3,
|
private static void addLevels(HashSet<String> level1, HashSet<String> level2, HashSet<String> level3,
|
||||||
|
HashSet<String> level4,
|
||||||
FOSDataModel first) {
|
FOSDataModel first) {
|
||||||
level1.add(first.getLevel1());
|
level1.add(first.getLevel1());
|
||||||
level2.add(first.getLevel2());
|
level2.add(first.getLevel2());
|
||||||
level3.add(first.getLevel3());
|
level3.add(first.getLevel3() + "@@" + first.getScoreL3());
|
||||||
|
level4.add(first.getLevel4() + "@@" + first.getScoreL4());
|
||||||
}
|
}
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
|
@ -69,9 +69,9 @@ public class SparkSaveUnresolved implements Serializable {
|
||||||
.mapGroups((MapGroupsFunction<String, Result, Result>) (k, it) -> {
|
.mapGroups((MapGroupsFunction<String, Result, Result>) (k, it) -> {
|
||||||
Result ret = it.next();
|
Result ret = it.next();
|
||||||
it.forEachRemaining(r -> {
|
it.forEachRemaining(r -> {
|
||||||
if (r.getInstance() != null) {
|
// if (r.getInstance() != null) {
|
||||||
ret.setInstance(r.getInstance());
|
// ret.setInstance(r.getInstance());
|
||||||
}
|
// }
|
||||||
if (r.getSubject() != null) {
|
if (r.getSubject() != null) {
|
||||||
if (ret.getSubject() != null)
|
if (ret.getSubject() != null)
|
||||||
ret.getSubject().addAll(r.getSubject());
|
ret.getSubject().addAll(r.getSubject());
|
||||||
|
|
|
@ -11,21 +11,43 @@ public class FOSDataModel implements Serializable {
|
||||||
private String doi;
|
private String doi;
|
||||||
|
|
||||||
@CsvBindByPosition(position = 1)
|
@CsvBindByPosition(position = 1)
|
||||||
|
// @CsvBindByName(column = "doi")
|
||||||
|
private String oaid;
|
||||||
|
@CsvBindByPosition(position = 2)
|
||||||
// @CsvBindByName(column = "level1")
|
// @CsvBindByName(column = "level1")
|
||||||
private String level1;
|
private String level1;
|
||||||
|
|
||||||
@CsvBindByPosition(position = 2)
|
@CsvBindByPosition(position = 3)
|
||||||
// @CsvBindByName(column = "level2")
|
// @CsvBindByName(column = "level2")
|
||||||
private String level2;
|
private String level2;
|
||||||
|
|
||||||
@CsvBindByPosition(position = 3)
|
@CsvBindByPosition(position = 4)
|
||||||
// @CsvBindByName(column = "level3")
|
// @CsvBindByName(column = "level3")
|
||||||
private String level3;
|
private String level3;
|
||||||
|
|
||||||
|
@CsvBindByPosition(position = 5)
|
||||||
|
// @CsvBindByName(column = "level3")
|
||||||
|
private String level4;
|
||||||
|
@CsvBindByPosition(position = 6)
|
||||||
|
private String scoreL3;
|
||||||
|
@CsvBindByPosition(position = 7)
|
||||||
|
private String scoreL4;
|
||||||
|
|
||||||
public FOSDataModel() {
|
public FOSDataModel() {
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
||||||
|
public FOSDataModel(String doi, String level1, String level2, String level3, String level4, String l3score,
|
||||||
|
String l4score) {
|
||||||
|
this.doi = doi;
|
||||||
|
this.level1 = level1;
|
||||||
|
this.level2 = level2;
|
||||||
|
this.level3 = level3;
|
||||||
|
this.level4 = level4;
|
||||||
|
this.scoreL3 = l3score;
|
||||||
|
this.scoreL4 = l4score;
|
||||||
|
}
|
||||||
|
|
||||||
public FOSDataModel(String doi, String level1, String level2, String level3) {
|
public FOSDataModel(String doi, String level1, String level2, String level3) {
|
||||||
this.doi = doi;
|
this.doi = doi;
|
||||||
this.level1 = level1;
|
this.level1 = level1;
|
||||||
|
@ -33,8 +55,41 @@ public class FOSDataModel implements Serializable {
|
||||||
this.level3 = level3;
|
this.level3 = level3;
|
||||||
}
|
}
|
||||||
|
|
||||||
public static FOSDataModel newInstance(String d, String level1, String level2, String level3) {
|
public static FOSDataModel newInstance(String d, String level1, String level2, String level3, String level4,
|
||||||
return new FOSDataModel(d, level1, level2, level3);
|
String scorel3, String scorel4) {
|
||||||
|
return new FOSDataModel(d, level1, level2, level3, level4, scorel3, scorel4);
|
||||||
|
}
|
||||||
|
|
||||||
|
public String getOaid() {
|
||||||
|
return oaid;
|
||||||
|
}
|
||||||
|
|
||||||
|
public void setOaid(String oaid) {
|
||||||
|
this.oaid = oaid;
|
||||||
|
}
|
||||||
|
|
||||||
|
public String getLevel4() {
|
||||||
|
return level4;
|
||||||
|
}
|
||||||
|
|
||||||
|
public void setLevel4(String level4) {
|
||||||
|
this.level4 = level4;
|
||||||
|
}
|
||||||
|
|
||||||
|
public String getScoreL3() {
|
||||||
|
return scoreL3;
|
||||||
|
}
|
||||||
|
|
||||||
|
public void setScoreL3(String scoreL3) {
|
||||||
|
this.scoreL3 = scoreL3;
|
||||||
|
}
|
||||||
|
|
||||||
|
public String getScoreL4() {
|
||||||
|
return scoreL4;
|
||||||
|
}
|
||||||
|
|
||||||
|
public void setScoreL4(String scoreL4) {
|
||||||
|
this.scoreL4 = scoreL4;
|
||||||
}
|
}
|
||||||
|
|
||||||
public String getDoi() {
|
public String getDoi() {
|
||||||
|
|
|
@ -10,8 +10,10 @@ import java.util.*;
|
||||||
import org.apache.commons.cli.ParseException;
|
import org.apache.commons.cli.ParseException;
|
||||||
import org.apache.commons.io.IOUtils;
|
import org.apache.commons.io.IOUtils;
|
||||||
import org.apache.hadoop.io.Text;
|
import org.apache.hadoop.io.Text;
|
||||||
|
import org.apache.hadoop.io.compress.GzipCodec;
|
||||||
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
|
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
|
||||||
import org.apache.spark.SparkConf;
|
import org.apache.spark.SparkConf;
|
||||||
|
import org.apache.spark.api.java.JavaPairRDD;
|
||||||
import org.apache.spark.api.java.function.FilterFunction;
|
import org.apache.spark.api.java.function.FilterFunction;
|
||||||
import org.apache.spark.api.java.function.FlatMapFunction;
|
import org.apache.spark.api.java.function.FlatMapFunction;
|
||||||
import org.apache.spark.api.java.function.MapFunction;
|
import org.apache.spark.api.java.function.MapFunction;
|
||||||
|
@ -26,19 +28,29 @@ import eu.dnetlib.dhp.actionmanager.opencitations.model.COCI;
|
||||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||||
import eu.dnetlib.dhp.schema.action.AtomicAction;
|
import eu.dnetlib.dhp.schema.action.AtomicAction;
|
||||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||||
import eu.dnetlib.dhp.schema.common.ModelSupport;
|
|
||||||
import eu.dnetlib.dhp.schema.oaf.*;
|
import eu.dnetlib.dhp.schema.oaf.*;
|
||||||
import eu.dnetlib.dhp.schema.oaf.utils.CleaningFunctions;
|
import eu.dnetlib.dhp.schema.oaf.utils.*;
|
||||||
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
|
import eu.dnetlib.dhp.utils.DHPUtils;
|
||||||
import scala.Tuple2;
|
import scala.Tuple2;
|
||||||
|
|
||||||
public class CreateActionSetSparkJob implements Serializable {
|
public class CreateActionSetSparkJob implements Serializable {
|
||||||
public static final String OPENCITATIONS_CLASSID = "sysimport:crosswalk:opencitations";
|
public static final String OPENCITATIONS_CLASSID = "sysimport:crosswalk:opencitations";
|
||||||
public static final String OPENCITATIONS_CLASSNAME = "Imported from OpenCitations";
|
public static final String OPENCITATIONS_CLASSNAME = "Imported from OpenCitations";
|
||||||
private static final String ID_PREFIX = "50|doi_________::";
|
|
||||||
|
// DOI-to-DOI citations
|
||||||
|
public static final String COCI = "COCI";
|
||||||
|
|
||||||
|
// PMID-to-PMID citations
|
||||||
|
public static final String POCI = "POCI";
|
||||||
|
|
||||||
|
private static final String DOI_PREFIX = "50|doi_________::";
|
||||||
|
|
||||||
|
private static final String PMID_PREFIX = "50|pmid________::";
|
||||||
|
|
||||||
private static final String TRUST = "0.91";
|
private static final String TRUST = "0.91";
|
||||||
|
|
||||||
private static final Logger log = LoggerFactory.getLogger(CreateActionSetSparkJob.class);
|
private static final Logger log = LoggerFactory.getLogger(CreateActionSetSparkJob.class);
|
||||||
|
|
||||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
||||||
|
|
||||||
public static void main(final String[] args) throws IOException, ParseException {
|
public static void main(final String[] args) throws IOException, ParseException {
|
||||||
|
@ -62,7 +74,7 @@ public class CreateActionSetSparkJob implements Serializable {
|
||||||
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
|
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
|
||||||
|
|
||||||
final String inputPath = parser.get("inputPath");
|
final String inputPath = parser.get("inputPath");
|
||||||
log.info("inputPath {}", inputPath.toString());
|
log.info("inputPath {}", inputPath);
|
||||||
|
|
||||||
final String outputPath = parser.get("outputPath");
|
final String outputPath = parser.get("outputPath");
|
||||||
log.info("outputPath {}", outputPath);
|
log.info("outputPath {}", outputPath);
|
||||||
|
@ -76,41 +88,68 @@ public class CreateActionSetSparkJob implements Serializable {
|
||||||
runWithSparkSession(
|
runWithSparkSession(
|
||||||
conf,
|
conf,
|
||||||
isSparkSessionManaged,
|
isSparkSessionManaged,
|
||||||
spark -> {
|
spark -> extractContent(spark, inputPath, outputPath, shouldDuplicateRels));
|
||||||
extractContent(spark, inputPath, outputPath, shouldDuplicateRels);
|
|
||||||
});
|
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
||||||
private static void extractContent(SparkSession spark, String inputPath, String outputPath,
|
private static void extractContent(SparkSession spark, String inputPath, String outputPath,
|
||||||
boolean shouldDuplicateRels) {
|
boolean shouldDuplicateRels) {
|
||||||
spark
|
|
||||||
|
getTextTextJavaPairRDD(spark, inputPath, shouldDuplicateRels, COCI)
|
||||||
|
.union(getTextTextJavaPairRDD(spark, inputPath, shouldDuplicateRels, POCI))
|
||||||
|
.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, GzipCodec.class);
|
||||||
|
}
|
||||||
|
|
||||||
|
private static JavaPairRDD<Text, Text> getTextTextJavaPairRDD(SparkSession spark, String inputPath,
|
||||||
|
boolean shouldDuplicateRels, String prefix) {
|
||||||
|
return spark
|
||||||
.read()
|
.read()
|
||||||
.textFile(inputPath + "/*")
|
.textFile(inputPath + "/" + prefix + "/" + prefix + "_JSON/*")
|
||||||
.map(
|
.map(
|
||||||
(MapFunction<String, COCI>) value -> OBJECT_MAPPER.readValue(value, COCI.class),
|
(MapFunction<String, COCI>) value -> OBJECT_MAPPER.readValue(value, COCI.class),
|
||||||
Encoders.bean(COCI.class))
|
Encoders.bean(COCI.class))
|
||||||
.flatMap(
|
.flatMap(
|
||||||
(FlatMapFunction<COCI, Relation>) value -> createRelation(value, shouldDuplicateRels).iterator(),
|
(FlatMapFunction<COCI, Relation>) value -> createRelation(
|
||||||
|
value, shouldDuplicateRels, prefix)
|
||||||
|
.iterator(),
|
||||||
Encoders.bean(Relation.class))
|
Encoders.bean(Relation.class))
|
||||||
.filter((FilterFunction<Relation>) value -> value != null)
|
.filter((FilterFunction<Relation>) Objects::nonNull)
|
||||||
.toJavaRDD()
|
.toJavaRDD()
|
||||||
.map(p -> new AtomicAction(p.getClass(), p))
|
.map(p -> new AtomicAction(p.getClass(), p))
|
||||||
.mapToPair(
|
.mapToPair(
|
||||||
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
|
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
|
||||||
new Text(OBJECT_MAPPER.writeValueAsString(aa))))
|
new Text(OBJECT_MAPPER.writeValueAsString(aa))));
|
||||||
.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class);
|
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
||||||
private static List<Relation> createRelation(COCI value, boolean duplicate) {
|
private static List<Relation> createRelation(COCI value, boolean duplicate, String p) {
|
||||||
|
|
||||||
List<Relation> relationList = new ArrayList<>();
|
List<Relation> relationList = new ArrayList<>();
|
||||||
|
String prefix;
|
||||||
|
String citing;
|
||||||
|
String cited;
|
||||||
|
|
||||||
String citing = ID_PREFIX
|
switch (p) {
|
||||||
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", value.getCiting()));
|
case COCI:
|
||||||
final String cited = ID_PREFIX
|
prefix = DOI_PREFIX;
|
||||||
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", value.getCited()));
|
citing = prefix
|
||||||
|
+ IdentifierFactory
|
||||||
|
.md5(PidCleaner.normalizePidValue(PidType.doi.toString(), value.getCiting()));
|
||||||
|
cited = prefix
|
||||||
|
+ IdentifierFactory
|
||||||
|
.md5(PidCleaner.normalizePidValue(PidType.doi.toString(), value.getCited()));
|
||||||
|
break;
|
||||||
|
case POCI:
|
||||||
|
prefix = PMID_PREFIX;
|
||||||
|
citing = prefix
|
||||||
|
+ IdentifierFactory
|
||||||
|
.md5(PidCleaner.normalizePidValue(PidType.pmid.toString(), value.getCiting()));
|
||||||
|
cited = prefix
|
||||||
|
+ IdentifierFactory
|
||||||
|
.md5(PidCleaner.normalizePidValue(PidType.pmid.toString(), value.getCited()));
|
||||||
|
break;
|
||||||
|
default:
|
||||||
|
throw new IllegalStateException("Invalid prefix: " + p);
|
||||||
|
}
|
||||||
|
|
||||||
if (!citing.equals(cited)) {
|
if (!citing.equals(cited)) {
|
||||||
relationList
|
relationList
|
||||||
|
@ -120,7 +159,7 @@ public class CreateActionSetSparkJob implements Serializable {
|
||||||
cited, ModelConstants.CITES));
|
cited, ModelConstants.CITES));
|
||||||
|
|
||||||
if (duplicate && value.getCiting().endsWith(".refs")) {
|
if (duplicate && value.getCiting().endsWith(".refs")) {
|
||||||
citing = ID_PREFIX + IdentifierFactory
|
citing = prefix + IdentifierFactory
|
||||||
.md5(
|
.md5(
|
||||||
CleaningFunctions
|
CleaningFunctions
|
||||||
.normalizePidValue(
|
.normalizePidValue(
|
||||||
|
@ -132,59 +171,30 @@ public class CreateActionSetSparkJob implements Serializable {
|
||||||
return relationList;
|
return relationList;
|
||||||
}
|
}
|
||||||
|
|
||||||
private static Collection<Relation> getRelations(String citing, String cited) {
|
|
||||||
|
|
||||||
return Arrays
|
|
||||||
.asList(
|
|
||||||
getRelation(citing, cited, ModelConstants.CITES),
|
|
||||||
getRelation(cited, citing, ModelConstants.IS_CITED_BY));
|
|
||||||
}
|
|
||||||
|
|
||||||
public static Relation getRelation(
|
public static Relation getRelation(
|
||||||
String source,
|
String source,
|
||||||
String target,
|
String target,
|
||||||
String relclass) {
|
String relClass) {
|
||||||
Relation r = new Relation();
|
|
||||||
r.setCollectedfrom(getCollectedFrom());
|
|
||||||
r.setSource(source);
|
|
||||||
r.setTarget(target);
|
|
||||||
r.setRelClass(relclass);
|
|
||||||
r.setRelType(ModelConstants.RESULT_RESULT);
|
|
||||||
r.setSubRelType(ModelConstants.CITATION);
|
|
||||||
r
|
|
||||||
.setDataInfo(
|
|
||||||
getDataInfo());
|
|
||||||
return r;
|
|
||||||
}
|
|
||||||
|
|
||||||
public static List<KeyValue> getCollectedFrom() {
|
return OafMapperUtils
|
||||||
KeyValue kv = new KeyValue();
|
.getRelation(
|
||||||
kv.setKey(ModelConstants.OPENOCITATIONS_ID);
|
source,
|
||||||
kv.setValue(ModelConstants.OPENOCITATIONS_NAME);
|
target,
|
||||||
|
ModelConstants.RESULT_RESULT,
|
||||||
return Arrays.asList(kv);
|
ModelConstants.CITATION,
|
||||||
}
|
relClass,
|
||||||
|
Arrays
|
||||||
public static DataInfo getDataInfo() {
|
.asList(
|
||||||
DataInfo di = new DataInfo();
|
OafMapperUtils.keyValue(ModelConstants.OPENOCITATIONS_ID, ModelConstants.OPENOCITATIONS_NAME)),
|
||||||
di.setInferred(false);
|
OafMapperUtils
|
||||||
di.setDeletedbyinference(false);
|
.dataInfo(
|
||||||
di.setTrust(TRUST);
|
false, null, false, false,
|
||||||
|
OafMapperUtils
|
||||||
di
|
.qualifier(
|
||||||
.setProvenanceaction(
|
OPENCITATIONS_CLASSID, OPENCITATIONS_CLASSNAME,
|
||||||
getQualifier(OPENCITATIONS_CLASSID, OPENCITATIONS_CLASSNAME, ModelConstants.DNET_PROVENANCE_ACTIONS));
|
ModelConstants.DNET_PROVENANCE_ACTIONS, ModelConstants.DNET_PROVENANCE_ACTIONS),
|
||||||
return di;
|
TRUST),
|
||||||
}
|
null);
|
||||||
|
|
||||||
public static Qualifier getQualifier(String class_id, String class_name,
|
|
||||||
String qualifierSchema) {
|
|
||||||
Qualifier pa = new Qualifier();
|
|
||||||
pa.setClassid(class_id);
|
|
||||||
pa.setClassname(class_name);
|
|
||||||
pa.setSchemeid(qualifierSchema);
|
|
||||||
pa.setSchemename(qualifierSchema);
|
|
||||||
return pa;
|
|
||||||
}
|
}
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
|
@ -3,6 +3,7 @@ package eu.dnetlib.dhp.actionmanager.opencitations;
|
||||||
|
|
||||||
import java.io.*;
|
import java.io.*;
|
||||||
import java.io.Serializable;
|
import java.io.Serializable;
|
||||||
|
import java.util.Arrays;
|
||||||
import java.util.Objects;
|
import java.util.Objects;
|
||||||
import java.util.zip.GZIPOutputStream;
|
import java.util.zip.GZIPOutputStream;
|
||||||
import java.util.zip.ZipEntry;
|
import java.util.zip.ZipEntry;
|
||||||
|
@ -37,7 +38,7 @@ public class GetOpenCitationsRefs implements Serializable {
|
||||||
parser.parseArgument(args);
|
parser.parseArgument(args);
|
||||||
|
|
||||||
final String[] inputFile = parser.get("inputFile").split(";");
|
final String[] inputFile = parser.get("inputFile").split(";");
|
||||||
log.info("inputFile {}", inputFile.toString());
|
log.info("inputFile {}", Arrays.asList(inputFile));
|
||||||
|
|
||||||
final String workingPath = parser.get("workingPath");
|
final String workingPath = parser.get("workingPath");
|
||||||
log.info("workingPath {}", workingPath);
|
log.info("workingPath {}", workingPath);
|
||||||
|
@ -45,6 +46,9 @@ public class GetOpenCitationsRefs implements Serializable {
|
||||||
final String hdfsNameNode = parser.get("hdfsNameNode");
|
final String hdfsNameNode = parser.get("hdfsNameNode");
|
||||||
log.info("hdfsNameNode {}", hdfsNameNode);
|
log.info("hdfsNameNode {}", hdfsNameNode);
|
||||||
|
|
||||||
|
final String prefix = parser.get("prefix");
|
||||||
|
log.info("prefix {}", prefix);
|
||||||
|
|
||||||
Configuration conf = new Configuration();
|
Configuration conf = new Configuration();
|
||||||
conf.set("fs.defaultFS", hdfsNameNode);
|
conf.set("fs.defaultFS", hdfsNameNode);
|
||||||
|
|
||||||
|
@ -53,30 +57,31 @@ public class GetOpenCitationsRefs implements Serializable {
|
||||||
GetOpenCitationsRefs ocr = new GetOpenCitationsRefs();
|
GetOpenCitationsRefs ocr = new GetOpenCitationsRefs();
|
||||||
|
|
||||||
for (String file : inputFile) {
|
for (String file : inputFile) {
|
||||||
ocr.doExtract(workingPath + "/Original/" + file, workingPath, fileSystem);
|
ocr.doExtract(workingPath + "/Original/" + file, workingPath, fileSystem, prefix);
|
||||||
}
|
}
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
||||||
private void doExtract(String inputFile, String workingPath, FileSystem fileSystem)
|
private void doExtract(String inputFile, String workingPath, FileSystem fileSystem, String prefix)
|
||||||
throws IOException {
|
throws IOException {
|
||||||
|
|
||||||
final Path path = new Path(inputFile);
|
final Path path = new Path(inputFile);
|
||||||
|
|
||||||
FSDataInputStream oc_zip = fileSystem.open(path);
|
FSDataInputStream oc_zip = fileSystem.open(path);
|
||||||
|
|
||||||
int count = 1;
|
// int count = 1;
|
||||||
try (ZipInputStream zis = new ZipInputStream(oc_zip)) {
|
try (ZipInputStream zis = new ZipInputStream(oc_zip)) {
|
||||||
ZipEntry entry = null;
|
ZipEntry entry = null;
|
||||||
while ((entry = zis.getNextEntry()) != null) {
|
while ((entry = zis.getNextEntry()) != null) {
|
||||||
|
|
||||||
if (!entry.isDirectory()) {
|
if (!entry.isDirectory()) {
|
||||||
String fileName = entry.getName();
|
String fileName = entry.getName();
|
||||||
fileName = fileName.substring(0, fileName.indexOf("T")) + "_" + count;
|
// fileName = fileName.substring(0, fileName.indexOf("T")) + "_" + count;
|
||||||
count++;
|
fileName = fileName.substring(0, fileName.lastIndexOf("."));
|
||||||
|
// count++;
|
||||||
try (
|
try (
|
||||||
FSDataOutputStream out = fileSystem
|
FSDataOutputStream out = fileSystem
|
||||||
.create(new Path(workingPath + "/COCI/" + fileName + ".gz"));
|
.create(new Path(workingPath + "/" + prefix + "/" + fileName + ".gz"));
|
||||||
GZIPOutputStream gzipOs = new GZIPOutputStream(new BufferedOutputStream(out))) {
|
GZIPOutputStream gzipOs = new GZIPOutputStream(new BufferedOutputStream(out))) {
|
||||||
|
|
||||||
IOUtils.copy(zis, gzipOs);
|
IOUtils.copy(zis, gzipOs);
|
||||||
|
|
|
@ -7,6 +7,7 @@ import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
|
||||||
|
|
||||||
import java.io.IOException;
|
import java.io.IOException;
|
||||||
import java.io.Serializable;
|
import java.io.Serializable;
|
||||||
|
import java.util.Arrays;
|
||||||
import java.util.Optional;
|
import java.util.Optional;
|
||||||
|
|
||||||
import org.apache.commons.io.IOUtils;
|
import org.apache.commons.io.IOUtils;
|
||||||
|
@ -42,13 +43,16 @@ public class ReadCOCI implements Serializable {
|
||||||
log.info("outputPath: {}", outputPath);
|
log.info("outputPath: {}", outputPath);
|
||||||
|
|
||||||
final String[] inputFile = parser.get("inputFile").split(";");
|
final String[] inputFile = parser.get("inputFile").split(";");
|
||||||
log.info("inputFile {}", inputFile.toString());
|
log.info("inputFile {}", Arrays.asList(inputFile));
|
||||||
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
|
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
|
||||||
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
|
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
|
||||||
|
|
||||||
final String workingPath = parser.get("workingPath");
|
final String workingPath = parser.get("workingPath");
|
||||||
log.info("workingPath {}", workingPath);
|
log.info("workingPath {}", workingPath);
|
||||||
|
|
||||||
|
final String format = parser.get("format");
|
||||||
|
log.info("format {}", format);
|
||||||
|
|
||||||
SparkConf sconf = new SparkConf();
|
SparkConf sconf = new SparkConf();
|
||||||
|
|
||||||
final String delimiter = Optional
|
final String delimiter = Optional
|
||||||
|
@ -64,16 +68,17 @@ public class ReadCOCI implements Serializable {
|
||||||
workingPath,
|
workingPath,
|
||||||
inputFile,
|
inputFile,
|
||||||
outputPath,
|
outputPath,
|
||||||
delimiter);
|
delimiter,
|
||||||
|
format);
|
||||||
});
|
});
|
||||||
}
|
}
|
||||||
|
|
||||||
private static void doRead(SparkSession spark, String workingPath, String[] inputFiles,
|
private static void doRead(SparkSession spark, String workingPath, String[] inputFiles,
|
||||||
String outputPath,
|
String outputPath,
|
||||||
String delimiter) throws IOException {
|
String delimiter, String format) {
|
||||||
|
|
||||||
for (String inputFile : inputFiles) {
|
for (String inputFile : inputFiles) {
|
||||||
String p_string = workingPath + "/" + inputFile + ".gz";
|
String pString = workingPath + "/" + inputFile + ".gz";
|
||||||
|
|
||||||
Dataset<Row> cociData = spark
|
Dataset<Row> cociData = spark
|
||||||
.read()
|
.read()
|
||||||
|
@ -82,14 +87,20 @@ public class ReadCOCI implements Serializable {
|
||||||
.option("inferSchema", "true")
|
.option("inferSchema", "true")
|
||||||
.option("header", "true")
|
.option("header", "true")
|
||||||
.option("quotes", "\"")
|
.option("quotes", "\"")
|
||||||
.load(p_string)
|
.load(pString)
|
||||||
.repartition(100);
|
.repartition(100);
|
||||||
|
|
||||||
cociData.map((MapFunction<Row, COCI>) row -> {
|
cociData.map((MapFunction<Row, COCI>) row -> {
|
||||||
COCI coci = new COCI();
|
COCI coci = new COCI();
|
||||||
coci.setOci(row.getString(0));
|
if (format.equals("COCI")) {
|
||||||
coci.setCiting(row.getString(1));
|
coci.setCiting(row.getString(1));
|
||||||
coci.setCited(row.getString(2));
|
coci.setCited(row.getString(2));
|
||||||
|
} else {
|
||||||
|
coci.setCiting(String.valueOf(row.getInt(1)));
|
||||||
|
coci.setCited(String.valueOf(row.getInt(2)));
|
||||||
|
}
|
||||||
|
coci.setOci(row.getString(0));
|
||||||
|
|
||||||
return coci;
|
return coci;
|
||||||
}, Encoders.bean(COCI.class))
|
}, Encoders.bean(COCI.class))
|
||||||
.write()
|
.write()
|
||||||
|
|
|
@ -5,11 +5,6 @@
|
||||||
<name>fosPath</name>
|
<name>fosPath</name>
|
||||||
<description>the input path of the resources to be extended</description>
|
<description>the input path of the resources to be extended</description>
|
||||||
</property>
|
</property>
|
||||||
|
|
||||||
<property>
|
|
||||||
<name>bipScorePath</name>
|
|
||||||
<description>the path where to find the bipFinder scores</description>
|
|
||||||
</property>
|
|
||||||
<property>
|
<property>
|
||||||
<name>outputPath</name>
|
<name>outputPath</name>
|
||||||
<description>the path where to store the actionset</description>
|
<description>the path where to store the actionset</description>
|
||||||
|
@ -77,35 +72,10 @@
|
||||||
|
|
||||||
|
|
||||||
<fork name="prepareInfo">
|
<fork name="prepareInfo">
|
||||||
<path start="prepareBip"/>
|
|
||||||
<path start="getFOS"/>
|
<path start="getFOS"/>
|
||||||
<path start="getSDG"/>
|
<path start="getSDG"/>
|
||||||
</fork>
|
</fork>
|
||||||
|
|
||||||
<action name="prepareBip">
|
|
||||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
|
||||||
<master>yarn</master>
|
|
||||||
<mode>cluster</mode>
|
|
||||||
<name>Produces the unresolved from BIP! Finder</name>
|
|
||||||
<class>eu.dnetlib.dhp.actionmanager.createunresolvedentities.PrepareBipFinder</class>
|
|
||||||
<jar>dhp-aggregation-${projectVersion}.jar</jar>
|
|
||||||
<spark-opts>
|
|
||||||
--executor-memory=${sparkExecutorMemory}
|
|
||||||
--executor-cores=${sparkExecutorCores}
|
|
||||||
--driver-memory=${sparkDriverMemory}
|
|
||||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
|
||||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
|
||||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
|
||||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
|
||||||
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
|
|
||||||
</spark-opts>
|
|
||||||
<arg>--sourcePath</arg><arg>${bipScorePath}</arg>
|
|
||||||
<arg>--outputPath</arg><arg>${workingDir}/prepared</arg>
|
|
||||||
</spark>
|
|
||||||
<ok to="join"/>
|
|
||||||
<error to="Kill"/>
|
|
||||||
</action>
|
|
||||||
|
|
||||||
<action name="getFOS">
|
<action name="getFOS">
|
||||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
|
@ -125,6 +95,7 @@
|
||||||
</spark-opts>
|
</spark-opts>
|
||||||
<arg>--sourcePath</arg><arg>${fosPath}</arg>
|
<arg>--sourcePath</arg><arg>${fosPath}</arg>
|
||||||
<arg>--outputPath</arg><arg>${workingDir}/input/fos</arg>
|
<arg>--outputPath</arg><arg>${workingDir}/input/fos</arg>
|
||||||
|
<arg>--delimiter</arg><arg>${delimiter}</arg>
|
||||||
</spark>
|
</spark>
|
||||||
<ok to="prepareFos"/>
|
<ok to="prepareFos"/>
|
||||||
<error to="Kill"/>
|
<error to="Kill"/>
|
||||||
|
@ -213,7 +184,7 @@
|
||||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
<mode>cluster</mode>
|
<mode>cluster</mode>
|
||||||
<name>Saves the result produced for bip and fos by grouping results with the same id</name>
|
<name>Save the unresolved entities grouping results with the same id</name>
|
||||||
<class>eu.dnetlib.dhp.actionmanager.createunresolvedentities.SparkSaveUnresolved</class>
|
<class>eu.dnetlib.dhp.actionmanager.createunresolvedentities.SparkSaveUnresolved</class>
|
||||||
<jar>dhp-aggregation-${projectVersion}.jar</jar>
|
<jar>dhp-aggregation-${projectVersion}.jar</jar>
|
||||||
<spark-opts>
|
<spark-opts>
|
||||||
|
|
|
@ -16,10 +16,11 @@
|
||||||
"paramLongName": "isSparkSessionManaged",
|
"paramLongName": "isSparkSessionManaged",
|
||||||
"paramDescription": "the hdfs name node",
|
"paramDescription": "the hdfs name node",
|
||||||
"paramRequired": false
|
"paramRequired": false
|
||||||
}, {
|
},
|
||||||
|
{
|
||||||
"paramName": "sdr",
|
"paramName": "sdr",
|
||||||
"paramLongName": "shouldDuplicateRels",
|
"paramLongName": "shouldDuplicateRels",
|
||||||
"paramDescription": "the hdfs name node",
|
"paramDescription": "activates/deactivates the construction of bidirectional relations Cites/IsCitedBy",
|
||||||
"paramRequired": false
|
"paramRequired": false
|
||||||
}
|
}
|
||||||
]
|
]
|
||||||
|
|
|
@ -16,5 +16,11 @@
|
||||||
"paramLongName": "hdfsNameNode",
|
"paramLongName": "hdfsNameNode",
|
||||||
"paramDescription": "the hdfs name node",
|
"paramDescription": "the hdfs name node",
|
||||||
"paramRequired": true
|
"paramRequired": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "p",
|
||||||
|
"paramLongName": "prefix",
|
||||||
|
"paramDescription": "COCI or POCI",
|
||||||
|
"paramRequired": true
|
||||||
}
|
}
|
||||||
]
|
]
|
||||||
|
|
|
@ -30,6 +30,11 @@
|
||||||
"paramLongName": "inputFile",
|
"paramLongName": "inputFile",
|
||||||
"paramDescription": "the hdfs name node",
|
"paramDescription": "the hdfs name node",
|
||||||
"paramRequired": true
|
"paramRequired": true
|
||||||
|
}, {
|
||||||
|
"paramName": "f",
|
||||||
|
"paramLongName": "format",
|
||||||
|
"paramDescription": "the hdfs name node",
|
||||||
|
"paramRequired": true
|
||||||
}
|
}
|
||||||
]
|
]
|
||||||
|
|
||||||
|
|
|
@ -34,6 +34,7 @@
|
||||||
<kill name="Kill">
|
<kill name="Kill">
|
||||||
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
|
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
|
||||||
</kill>
|
</kill>
|
||||||
|
|
||||||
<action name="download">
|
<action name="download">
|
||||||
<shell xmlns="uri:oozie:shell-action:0.2">
|
<shell xmlns="uri:oozie:shell-action:0.2">
|
||||||
<job-tracker>${jobTracker}</job-tracker>
|
<job-tracker>${jobTracker}</job-tracker>
|
||||||
|
@ -46,7 +47,7 @@
|
||||||
</configuration>
|
</configuration>
|
||||||
<exec>download.sh</exec>
|
<exec>download.sh</exec>
|
||||||
<argument>${filelist}</argument>
|
<argument>${filelist}</argument>
|
||||||
<argument>${workingPath}/Original</argument>
|
<argument>${workingPath}/${prefix}/Original</argument>
|
||||||
<env-var>HADOOP_USER_NAME=${wf:user()}</env-var>
|
<env-var>HADOOP_USER_NAME=${wf:user()}</env-var>
|
||||||
<file>download.sh</file>
|
<file>download.sh</file>
|
||||||
<capture-output/>
|
<capture-output/>
|
||||||
|
@ -54,12 +55,14 @@
|
||||||
<ok to="extract"/>
|
<ok to="extract"/>
|
||||||
<error to="Kill"/>
|
<error to="Kill"/>
|
||||||
</action>
|
</action>
|
||||||
|
|
||||||
<action name="extract">
|
<action name="extract">
|
||||||
<java>
|
<java>
|
||||||
<main-class>eu.dnetlib.dhp.actionmanager.opencitations.GetOpenCitationsRefs</main-class>
|
<main-class>eu.dnetlib.dhp.actionmanager.opencitations.GetOpenCitationsRefs</main-class>
|
||||||
<arg>--hdfsNameNode</arg><arg>${nameNode}</arg>
|
<arg>--hdfsNameNode</arg><arg>${nameNode}</arg>
|
||||||
<arg>--inputFile</arg><arg>${inputFile}</arg>
|
<arg>--inputFile</arg><arg>${inputFile}</arg>
|
||||||
<arg>--workingPath</arg><arg>${workingPath}</arg>
|
<arg>--workingPath</arg><arg>${workingPath}/${prefix}</arg>
|
||||||
|
<arg>--prefix</arg><arg>${prefix}</arg>
|
||||||
</java>
|
</java>
|
||||||
<ok to="read"/>
|
<ok to="read"/>
|
||||||
<error to="Kill"/>
|
<error to="Kill"/>
|
||||||
|
@ -82,10 +85,11 @@
|
||||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||||
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
|
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
|
||||||
</spark-opts>
|
</spark-opts>
|
||||||
<arg>--workingPath</arg><arg>${workingPath}/COCI</arg>
|
<arg>--workingPath</arg><arg>${workingPath}/${prefix}/${prefix}</arg>
|
||||||
<arg>--outputPath</arg><arg>${workingPath}/COCI_JSON/</arg>
|
<arg>--outputPath</arg><arg>${workingPath}/${prefix}/${prefix}_JSON/</arg>
|
||||||
<arg>--delimiter</arg><arg>${delimiter}</arg>
|
<arg>--delimiter</arg><arg>${delimiter}</arg>
|
||||||
<arg>--inputFile</arg><arg>${inputFileCoci}</arg>
|
<arg>--inputFile</arg><arg>${inputFileCoci}</arg>
|
||||||
|
<arg>--format</arg><arg>${prefix}</arg>
|
||||||
</spark>
|
</spark>
|
||||||
<ok to="create_actionset"/>
|
<ok to="create_actionset"/>
|
||||||
<error to="Kill"/>
|
<error to="Kill"/>
|
||||||
|
@ -108,7 +112,7 @@
|
||||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||||
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
|
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
|
||||||
</spark-opts>
|
</spark-opts>
|
||||||
<arg>--inputPath</arg><arg>${workingPath}/COCI_JSON</arg>
|
<arg>--inputPath</arg><arg>${workingPath}</arg>
|
||||||
<arg>--outputPath</arg><arg>${outputPath}</arg>
|
<arg>--outputPath</arg><arg>${outputPath}</arg>
|
||||||
</spark>
|
</spark>
|
||||||
<ok to="End"/>
|
<ok to="End"/>
|
||||||
|
|
|
@ -13,10 +13,7 @@ import org.apache.spark.SparkConf;
|
||||||
import org.apache.spark.api.java.JavaRDD;
|
import org.apache.spark.api.java.JavaRDD;
|
||||||
import org.apache.spark.api.java.JavaSparkContext;
|
import org.apache.spark.api.java.JavaSparkContext;
|
||||||
import org.apache.spark.sql.SparkSession;
|
import org.apache.spark.sql.SparkSession;
|
||||||
import org.junit.jupiter.api.AfterAll;
|
import org.junit.jupiter.api.*;
|
||||||
import org.junit.jupiter.api.Assertions;
|
|
||||||
import org.junit.jupiter.api.BeforeAll;
|
|
||||||
import org.junit.jupiter.api.Test;
|
|
||||||
import org.slf4j.Logger;
|
import org.slf4j.Logger;
|
||||||
import org.slf4j.LoggerFactory;
|
import org.slf4j.LoggerFactory;
|
||||||
|
|
||||||
|
@ -68,6 +65,7 @@ public class GetFosTest {
|
||||||
}
|
}
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
|
@Disabled
|
||||||
void test3() throws Exception {
|
void test3() throws Exception {
|
||||||
final String sourcePath = getClass()
|
final String sourcePath = getClass()
|
||||||
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos_sbs.tsv")
|
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos_sbs.tsv")
|
||||||
|
@ -96,4 +94,37 @@ public class GetFosTest {
|
||||||
tmp.foreach(t -> Assertions.assertTrue(t.getLevel3() != null));
|
tmp.foreach(t -> Assertions.assertTrue(t.getLevel3() != null));
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
void test4() throws Exception {
|
||||||
|
final String sourcePath = getClass()
|
||||||
|
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos_sbs2.csv")
|
||||||
|
.getPath();
|
||||||
|
|
||||||
|
final String outputPath = workingDir.toString() + "/fos.json";
|
||||||
|
GetFOSSparkJob
|
||||||
|
.main(
|
||||||
|
new String[] {
|
||||||
|
"--isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||||
|
"--sourcePath", sourcePath,
|
||||||
|
"--delimiter", ",",
|
||||||
|
"-outputPath", outputPath
|
||||||
|
|
||||||
|
});
|
||||||
|
|
||||||
|
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||||
|
|
||||||
|
JavaRDD<FOSDataModel> tmp = sc
|
||||||
|
.textFile(outputPath)
|
||||||
|
.map(item -> OBJECT_MAPPER.readValue(item, FOSDataModel.class));
|
||||||
|
|
||||||
|
tmp.foreach(t -> Assertions.assertTrue(t.getDoi() != null));
|
||||||
|
tmp.foreach(t -> Assertions.assertTrue(t.getLevel1() != null));
|
||||||
|
tmp.foreach(t -> Assertions.assertTrue(t.getLevel2() != null));
|
||||||
|
tmp.foreach(t -> Assertions.assertTrue(t.getLevel3() != null));
|
||||||
|
tmp.foreach(t -> Assertions.assertTrue(t.getLevel4() != null));
|
||||||
|
tmp.foreach(t -> Assertions.assertTrue(t.getScoreL3() != null));
|
||||||
|
tmp.foreach(t -> Assertions.assertTrue(t.getScoreL4() != null));
|
||||||
|
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
|
@ -67,92 +67,6 @@ public class PrepareTest {
|
||||||
spark.stop();
|
spark.stop();
|
||||||
}
|
}
|
||||||
|
|
||||||
@Test
|
|
||||||
void bipPrepareTest() throws Exception {
|
|
||||||
final String sourcePath = getClass()
|
|
||||||
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/bip/bip.json")
|
|
||||||
.getPath();
|
|
||||||
|
|
||||||
PrepareBipFinder
|
|
||||||
.main(
|
|
||||||
new String[] {
|
|
||||||
"--isSparkSessionManaged", Boolean.FALSE.toString(),
|
|
||||||
"--sourcePath", sourcePath,
|
|
||||||
"--outputPath", workingDir.toString() + "/work"
|
|
||||||
|
|
||||||
});
|
|
||||||
|
|
||||||
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
|
||||||
|
|
||||||
JavaRDD<Result> tmp = sc
|
|
||||||
.textFile(workingDir.toString() + "/work/bip")
|
|
||||||
.map(item -> OBJECT_MAPPER.readValue(item, Result.class));
|
|
||||||
|
|
||||||
Assertions.assertEquals(86, tmp.count());
|
|
||||||
|
|
||||||
String doi1 = "unresolved::10.0000/096020199389707::doi";
|
|
||||||
|
|
||||||
Assertions.assertEquals(1, tmp.filter(r -> r.getId().equals(doi1)).count());
|
|
||||||
Assertions.assertEquals(1, tmp.filter(r -> r.getId().equals(doi1)).collect().get(0).getInstance().size());
|
|
||||||
Assertions
|
|
||||||
.assertEquals(
|
|
||||||
3, tmp.filter(r -> r.getId().equals(doi1)).collect().get(0).getInstance().get(0).getMeasures().size());
|
|
||||||
Assertions
|
|
||||||
.assertEquals(
|
|
||||||
"6.34596412687e-09", tmp
|
|
||||||
.filter(r -> r.getId().equals(doi1))
|
|
||||||
.collect()
|
|
||||||
.get(0)
|
|
||||||
.getInstance()
|
|
||||||
.get(0)
|
|
||||||
.getMeasures()
|
|
||||||
.stream()
|
|
||||||
.filter(sl -> sl.getId().equals("influence"))
|
|
||||||
.collect(Collectors.toList())
|
|
||||||
.get(0)
|
|
||||||
.getUnit()
|
|
||||||
.get(0)
|
|
||||||
.getValue());
|
|
||||||
Assertions
|
|
||||||
.assertEquals(
|
|
||||||
"0.641151896994", tmp
|
|
||||||
.filter(r -> r.getId().equals(doi1))
|
|
||||||
.collect()
|
|
||||||
.get(0)
|
|
||||||
.getInstance()
|
|
||||||
.get(0)
|
|
||||||
.getMeasures()
|
|
||||||
.stream()
|
|
||||||
.filter(sl -> sl.getId().equals("popularity_alt"))
|
|
||||||
.collect(Collectors.toList())
|
|
||||||
.get(0)
|
|
||||||
.getUnit()
|
|
||||||
.get(0)
|
|
||||||
.getValue());
|
|
||||||
Assertions
|
|
||||||
.assertEquals(
|
|
||||||
"2.33375102921e-09", tmp
|
|
||||||
.filter(r -> r.getId().equals(doi1))
|
|
||||||
.collect()
|
|
||||||
.get(0)
|
|
||||||
.getInstance()
|
|
||||||
.get(0)
|
|
||||||
.getMeasures()
|
|
||||||
.stream()
|
|
||||||
.filter(sl -> sl.getId().equals("popularity"))
|
|
||||||
.collect(Collectors.toList())
|
|
||||||
.get(0)
|
|
||||||
.getUnit()
|
|
||||||
.get(0)
|
|
||||||
.getValue());
|
|
||||||
|
|
||||||
final String doi2 = "unresolved::10.3390/s18072310::doi";
|
|
||||||
|
|
||||||
Assertions.assertEquals(1, tmp.filter(r -> r.getId().equals(doi2)).count());
|
|
||||||
Assertions.assertEquals(1, tmp.filter(r -> r.getId().equals(doi2)).collect().get(0).getInstance().size());
|
|
||||||
|
|
||||||
}
|
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
void fosPrepareTest() throws Exception {
|
void fosPrepareTest() throws Exception {
|
||||||
final String sourcePath = getClass()
|
final String sourcePath = getClass()
|
||||||
|
@ -222,6 +136,76 @@ public class PrepareTest {
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
void fosPrepareTest2() throws Exception {
|
||||||
|
final String sourcePath = getClass()
|
||||||
|
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos_sbs_2.json")
|
||||||
|
.getPath();
|
||||||
|
|
||||||
|
PrepareFOSSparkJob
|
||||||
|
.main(
|
||||||
|
new String[] {
|
||||||
|
"--isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||||
|
"--sourcePath", sourcePath,
|
||||||
|
|
||||||
|
"-outputPath", workingDir.toString() + "/work"
|
||||||
|
|
||||||
|
});
|
||||||
|
|
||||||
|
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||||
|
|
||||||
|
JavaRDD<Result> tmp = sc
|
||||||
|
.textFile(workingDir.toString() + "/work/fos")
|
||||||
|
.map(item -> OBJECT_MAPPER.readValue(item, Result.class));
|
||||||
|
|
||||||
|
String doi1 = "unresolved::10.1016/j.revmed.2006.07.012::doi";
|
||||||
|
|
||||||
|
assertEquals(13, tmp.count());
|
||||||
|
assertEquals(1, tmp.filter(row -> row.getId().equals(doi1)).count());
|
||||||
|
|
||||||
|
Result result = tmp
|
||||||
|
.filter(r -> r.getId().equals(doi1))
|
||||||
|
.first();
|
||||||
|
|
||||||
|
result.getSubject().forEach(s -> System.out.println(s.getValue() + " trust = " + s.getDataInfo().getTrust()));
|
||||||
|
Assertions.assertEquals(6, result.getSubject().size());
|
||||||
|
|
||||||
|
assertTrue(
|
||||||
|
result
|
||||||
|
.getSubject()
|
||||||
|
.stream()
|
||||||
|
.anyMatch(
|
||||||
|
s -> s.getValue().contains("03 medical and health sciences")
|
||||||
|
&& s.getDataInfo().getTrust().equals("")));
|
||||||
|
|
||||||
|
assertTrue(
|
||||||
|
result
|
||||||
|
.getSubject()
|
||||||
|
.stream()
|
||||||
|
.anyMatch(
|
||||||
|
s -> s.getValue().contains("0302 clinical medicine") && s.getDataInfo().getTrust().equals("")));
|
||||||
|
|
||||||
|
assertTrue(
|
||||||
|
result
|
||||||
|
.getSubject()
|
||||||
|
.stream()
|
||||||
|
.anyMatch(
|
||||||
|
s -> s
|
||||||
|
.getValue()
|
||||||
|
.contains("030204 cardiovascular system & hematology")
|
||||||
|
&& s.getDataInfo().getTrust().equals("0.5101401805877686")));
|
||||||
|
assertTrue(
|
||||||
|
result
|
||||||
|
.getSubject()
|
||||||
|
.stream()
|
||||||
|
.anyMatch(
|
||||||
|
s -> s
|
||||||
|
.getValue()
|
||||||
|
.contains("03020409 Hematology/Coagulopathies")
|
||||||
|
&& s.getDataInfo().getTrust().equals("0.0546871414174914")));
|
||||||
|
|
||||||
|
}
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
void sdgPrepareTest() throws Exception {
|
void sdgPrepareTest() throws Exception {
|
||||||
final String sourcePath = getClass()
|
final String sourcePath = getClass()
|
||||||
|
@ -268,57 +252,4 @@ public class PrepareTest {
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
||||||
// @Test
|
|
||||||
// void test3() throws Exception {
|
|
||||||
// final String sourcePath = "/Users/miriam.baglioni/Downloads/doi_fos_results_20_12_2021.csv.gz";
|
|
||||||
//
|
|
||||||
// final String outputPath = workingDir.toString() + "/fos.json";
|
|
||||||
// GetFOSSparkJob
|
|
||||||
// .main(
|
|
||||||
// new String[] {
|
|
||||||
// "--isSparkSessionManaged", Boolean.FALSE.toString(),
|
|
||||||
// "--sourcePath", sourcePath,
|
|
||||||
//
|
|
||||||
// "-outputPath", outputPath
|
|
||||||
//
|
|
||||||
// });
|
|
||||||
//
|
|
||||||
// final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
|
||||||
//
|
|
||||||
// JavaRDD<FOSDataModel> tmp = sc
|
|
||||||
// .textFile(outputPath)
|
|
||||||
// .map(item -> OBJECT_MAPPER.readValue(item, FOSDataModel.class));
|
|
||||||
//
|
|
||||||
// tmp.foreach(t -> Assertions.assertTrue(t.getDoi() != null));
|
|
||||||
// tmp.foreach(t -> Assertions.assertTrue(t.getLevel1() != null));
|
|
||||||
// tmp.foreach(t -> Assertions.assertTrue(t.getLevel2() != null));
|
|
||||||
// tmp.foreach(t -> Assertions.assertTrue(t.getLevel3() != null));
|
|
||||||
//
|
|
||||||
// }
|
|
||||||
//
|
|
||||||
// @Test
|
|
||||||
// void test4() throws Exception {
|
|
||||||
// final String sourcePath = "/Users/miriam.baglioni/Downloads/doi_sdg_results_20_12_21.csv.gz";
|
|
||||||
//
|
|
||||||
// final String outputPath = workingDir.toString() + "/sdg.json";
|
|
||||||
// GetSDGSparkJob
|
|
||||||
// .main(
|
|
||||||
// new String[] {
|
|
||||||
// "--isSparkSessionManaged", Boolean.FALSE.toString(),
|
|
||||||
// "--sourcePath", sourcePath,
|
|
||||||
//
|
|
||||||
// "-outputPath", outputPath
|
|
||||||
//
|
|
||||||
// });
|
|
||||||
//
|
|
||||||
// final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
|
||||||
//
|
|
||||||
// JavaRDD<SDGDataModel> tmp = sc
|
|
||||||
// .textFile(outputPath)
|
|
||||||
// .map(item -> OBJECT_MAPPER.readValue(item, SDGDataModel.class));
|
|
||||||
//
|
|
||||||
// tmp.foreach(t -> Assertions.assertTrue(t.getDoi() != null));
|
|
||||||
// tmp.foreach(t -> Assertions.assertTrue(t.getSbj() != null));
|
|
||||||
//
|
|
||||||
// }
|
|
||||||
}
|
}
|
||||||
|
|
|
@ -340,18 +340,7 @@ public class ProduceTest {
|
||||||
}
|
}
|
||||||
|
|
||||||
private JavaRDD<Result> getResultJavaRDD() throws Exception {
|
private JavaRDD<Result> getResultJavaRDD() throws Exception {
|
||||||
final String bipPath = getClass()
|
|
||||||
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/bip/bip.json")
|
|
||||||
.getPath();
|
|
||||||
|
|
||||||
PrepareBipFinder
|
|
||||||
.main(
|
|
||||||
new String[] {
|
|
||||||
"--isSparkSessionManaged", Boolean.FALSE.toString(),
|
|
||||||
"--sourcePath", bipPath,
|
|
||||||
"--outputPath", workingDir.toString() + "/work"
|
|
||||||
|
|
||||||
});
|
|
||||||
final String fosPath = getClass()
|
final String fosPath = getClass()
|
||||||
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos.json")
|
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos.json")
|
||||||
.getPath();
|
.getPath();
|
||||||
|
@ -379,6 +368,40 @@ public class ProduceTest {
|
||||||
.map(item -> OBJECT_MAPPER.readValue(item, Result.class));
|
.map(item -> OBJECT_MAPPER.readValue(item, Result.class));
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
public JavaRDD<Result> getResultFosJavaRDD() throws Exception {
|
||||||
|
|
||||||
|
final String fosPath = getClass()
|
||||||
|
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos_sbs_2.json")
|
||||||
|
.getPath();
|
||||||
|
|
||||||
|
PrepareFOSSparkJob
|
||||||
|
.main(
|
||||||
|
new String[] {
|
||||||
|
"--isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||||
|
"--sourcePath", fosPath,
|
||||||
|
"-outputPath", workingDir.toString() + "/work"
|
||||||
|
});
|
||||||
|
|
||||||
|
SparkSaveUnresolved.main(new String[] {
|
||||||
|
"--isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||||
|
"--sourcePath", workingDir.toString() + "/work",
|
||||||
|
|
||||||
|
"-outputPath", workingDir.toString() + "/unresolved"
|
||||||
|
|
||||||
|
});
|
||||||
|
|
||||||
|
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||||
|
|
||||||
|
JavaRDD<Result> tmp = sc
|
||||||
|
.textFile(workingDir.toString() + "/unresolved")
|
||||||
|
.map(item -> OBJECT_MAPPER.readValue(item, Result.class));
|
||||||
|
tmp.foreach(r -> System.out.println(new ObjectMapper().writeValueAsString(r)));
|
||||||
|
|
||||||
|
return tmp;
|
||||||
|
|
||||||
|
}
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
void prepareTest5Subjects() throws Exception {
|
void prepareTest5Subjects() throws Exception {
|
||||||
final String doi = "unresolved::10.1063/5.0032658::doi";
|
final String doi = "unresolved::10.1063/5.0032658::doi";
|
||||||
|
@ -415,18 +438,7 @@ public class ProduceTest {
|
||||||
}
|
}
|
||||||
|
|
||||||
private JavaRDD<Result> getResultJavaRDDPlusSDG() throws Exception {
|
private JavaRDD<Result> getResultJavaRDDPlusSDG() throws Exception {
|
||||||
final String bipPath = getClass()
|
|
||||||
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/bip/bip.json")
|
|
||||||
.getPath();
|
|
||||||
|
|
||||||
PrepareBipFinder
|
|
||||||
.main(
|
|
||||||
new String[] {
|
|
||||||
"--isSparkSessionManaged", Boolean.FALSE.toString(),
|
|
||||||
"--sourcePath", bipPath,
|
|
||||||
"--outputPath", workingDir.toString() + "/work"
|
|
||||||
|
|
||||||
});
|
|
||||||
final String fosPath = getClass()
|
final String fosPath = getClass()
|
||||||
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos.json")
|
.getResource("/eu/dnetlib/dhp/actionmanager/createunresolvedentities/fos/fos.json")
|
||||||
.getPath();
|
.getPath();
|
||||||
|
@ -483,14 +495,6 @@ public class ProduceTest {
|
||||||
.filter(row -> row.getSubject() != null)
|
.filter(row -> row.getSubject() != null)
|
||||||
.count());
|
.count());
|
||||||
|
|
||||||
Assertions
|
|
||||||
.assertEquals(
|
|
||||||
85,
|
|
||||||
tmp
|
|
||||||
.filter(row -> !row.getId().equals(doi))
|
|
||||||
.filter(r -> r.getInstance() != null && r.getInstance().size() > 0)
|
|
||||||
.count());
|
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
|
|
|
@ -0,0 +1,26 @@
|
||||||
|
DOI,OAID,level1,level2,level3,level4,score_for_L3,score_for_L4
|
||||||
|
10.1016/j.anucene.2006.02.004,doi_________::00059d9963edf633bec756fb21b5bd72,02 engineering and technology,"0202 electrical engineering, electronic engineering, information engineering",020209 energy,02020908 Climate change policy/Ethanol fuel,0.5,0.5
|
||||||
|
10.1016/j.anucene.2006.02.004,doi_________::00059d9963edf633bec756fb21b5bd72,02 engineering and technology,0211 other engineering and technologies,021108 energy,02110808 Climate change policy/Ethanol fuel,0.5,0.5
|
||||||
|
10.1016/j.revmed.2006.07.010,doi_________::0026476c1651a92c933d752ff12496c7,03 medical and health sciences,0302 clinical medicine,030220 oncology & carcinogenesis,N/A,0.5036656856536865,0.0
|
||||||
|
10.1016/j.revmed.2006.07.010,doi_________::0026476c1651a92c933d752ff12496c7,03 medical and health sciences,0302 clinical medicine,030212 general & internal medicine,N/A,0.4963343143463135,0.0
|
||||||
|
10.20965/jrm.2006.p0312,doi_________::0028336a2f3826cc83c47dbefac71543,02 engineering and technology,0209 industrial biotechnology,020901 industrial engineering & automation,02090104 Robotics/Robots,0.6111094951629639,0.5053805979936855
|
||||||
|
10.20965/jrm.2006.p0312,doi_________::0028336a2f3826cc83c47dbefac71543,01 natural sciences,0104 chemical sciences,010401 analytical chemistry,N/A,0.3888905048370361,0.0
|
||||||
|
10.1111/j.1747-7379.2006.040_1.x,doi_________::002c7077e7c114a8304eb90f59e45fa4,05 social sciences,0506 political science,050602 political science & public administration,05060202 Ethnic groups/Ethnicity,0.6159052848815918,0.7369035568037298
|
||||||
|
10.1111/j.1747-7379.2006.040_1.x,doi_________::002c7077e7c114a8304eb90f59e45fa4,05 social sciences,0502 economics and business,050207 economics,N/A,0.3840946555137634,0.0
|
||||||
|
10.1007/s10512-006-0049-9,doi_________::003f29f9254819cf4c78558b1bc25f10,02 engineering and technology,"0202 electrical engineering, electronic engineering, information engineering",020209 energy,02020908 Climate change policy/Ethanol fuel,0.5,0.5
|
||||||
|
10.1007/s10512-006-0049-9,doi_________::003f29f9254819cf4c78558b1bc25f10,02 engineering and technology,0211 other engineering and technologies,021108 energy,02110808 Climate change policy/Ethanol fuel,0.5,0.5
|
||||||
|
10.1111/j.1365-2621.2005.01045.x,doi_________::00419355b4c3e0646bd0e1b301164c8e,04 agricultural and veterinary sciences,0404 agricultural biotechnology,040401 food science,04040102 Food science/Food industry,0.5,0.5
|
||||||
|
10.1111/j.1365-2621.2005.01045.x,doi_________::00419355b4c3e0646bd0e1b301164c8e,04 agricultural and veterinary sciences,0405 other agricultural sciences,040502 food science,04050202 Food science/Food industry,0.5,0.5
|
||||||
|
10.1002/chin.200617262,doi_________::004c8cef80668904961b9e62841793c8,01 natural sciences,0104 chemical sciences,010405 organic chemistry,01040508 Functional groups/Ethers,0.5566747188568115,0.5582916736602783
|
||||||
|
10.1002/chin.200617262,doi_________::004c8cef80668904961b9e62841793c8,01 natural sciences,0104 chemical sciences,010402 general chemistry,01040207 Chemical synthesis/Total synthesis,0.4433253407478332,0.4417082965373993
|
||||||
|
10.1016/j.revmed.2006.07.012,doi_________::005b1d0fb650b680abaf6cfe26a21604,03 medical and health sciences,0302 clinical medicine,030204 cardiovascular system & hematology,03020409 Hematology/Coagulopathies,0.5101401805877686,0.0546871414174914
|
||||||
|
10.1016/j.revmed.2006.07.012,doi_________::005b1d0fb650b680abaf6cfe26a21604,03 medical and health sciences,0301 basic medicine,030105 genetics & heredity,N/A,0.4898599088191986,0.0
|
||||||
|
10.4109/jslab.17.132,doi_________::00889baa06de363e37930daaf8e800c0,03 medical and health sciences,0301 basic medicine,030104 developmental biology,N/A,0.5,0.0
|
||||||
|
10.4109/jslab.17.132,doi_________::00889baa06de363e37930daaf8e800c0,03 medical and health sciences,0303 health sciences,030304 developmental biology,N/A,0.5,0.0
|
||||||
|
10.1108/00251740610715687,doi_________::0092cb1b1920d556719385a26363ecaa,05 social sciences,0502 economics and business,050203 business & management,05020311 International business/International trade,0.605047881603241,0.2156608108845153
|
||||||
|
10.1108/00251740610715687,doi_________::0092cb1b1920d556719385a26363ecaa,05 social sciences,0502 economics and business,050211 marketing,N/A,0.394952118396759,0.0
|
||||||
|
10.1080/03067310500248098,doi_________::00a76678d230e3f20b6356804448028f,04 agricultural and veterinary sciences,0404 agricultural biotechnology,040401 food science,04040102 Food science/Food industry,0.5,0.5
|
||||||
|
10.1080/03067310500248098,doi_________::00a76678d230e3f20b6356804448028f,04 agricultural and veterinary sciences,0405 other agricultural sciences,040502 food science,04050202 Food science/Food industry,0.5,0.5
|
||||||
|
10.3152/147154306781778533,doi_________::00acc520f3939e5a6675343881fed4f2,05 social sciences,0502 economics and business,050203 business & management,05020307 Innovation/Product management,0.5293408632278442,0.5326762795448303
|
||||||
|
10.3152/147154306781778533,doi_________::00acc520f3939e5a6675343881fed4f2,05 social sciences,0509 other social sciences,050905 science studies,05090502 Social philosophy/Capitalism,0.4706590473651886,0.4673237204551697
|
||||||
|
10.1785/0120050806,doi_________::00d5831d329e7ae4523d78bfc3042e98,02 engineering and technology,0211 other engineering and technologies,021101 geological & geomatics engineering,02110103 Concrete/Building materials,0.5343400835990906,0.3285667930180677
|
|
|
@ -0,0 +1,25 @@
|
||||||
|
{"doi":"10.1016/j.anucene.2006.02.004","level1":"02 engineering and technology","level2":"0202 electrical engineering, electronic engineering, information engineering","level3":"020209 energy","level4":"02020908 Climate change policy/Ethanol fuel","scoreL3":"0.5","scoreL4":"0.5"}
|
||||||
|
{"doi":"10.1016/j.anucene.2006.02.004","level1":"02 engineering and technology","level2":"0211 other engineering and technologies","level3":"021108 energy","level4":"02110808 Climate change policy/Ethanol fuel","scoreL3":"0.5","scoreL4":"0.5"}
|
||||||
|
{"doi":"10.1016/j.revmed.2006.07.010","level1":"03 medical and health sciences","level2":"0302 clinical medicine","level3":"030220 oncology & carcinogenesis","level4":"N/A","scoreL3":"0.5036656856536865","scoreL4":"0.0"}
|
||||||
|
{"doi":"10.1016/j.revmed.2006.07.010","level1":"03 medical and health sciences","level2":"0302 clinical medicine","level3":"030212 general & internal medicine","level4":"N/A","scoreL3":"0.4963343143463135","scoreL4":"0.0"}
|
||||||
|
{"doi":"10.20965/jrm.2006.p0312","level1":"02 engineering and technology","level2":"0209 industrial biotechnology","level3":"020901 industrial engineering & automation","level4":"02090104 Robotics/Robots","scoreL3":"0.6111094951629639","scoreL4":"0.5053805979936855"}
|
||||||
|
{"doi":"10.20965/jrm.2006.p0312","level1":"01 natural sciences","level2":"0104 chemical sciences","level3":"010401 analytical chemistry","level4":"N/A","scoreL3":"0.3888905048370361","scoreL4":"0.0"}
|
||||||
|
{"doi":"10.1111/j.1747-7379.2006.040_1.x","level1":"05 social sciences","level2":"0506 political science","level3":"050602 political science & public administration","level4":"05060202 Ethnic groups/Ethnicity","scoreL3":"0.6159052848815918","scoreL4":"0.7369035568037298"}
|
||||||
|
{"doi":"10.1111/j.1747-7379.2006.040_1.x","level1":"05 social sciences","level2":"0502 economics and business","level3":"050207 economics","level4":"N/A","scoreL3":"0.3840946555137634","scoreL4":"0.0"}
|
||||||
|
{"doi":"10.1007/s10512-006-0049-9","level1":"02 engineering and technology","level2":"0202 electrical engineering, electronic engineering, information engineering","level3":"020209 energy","level4":"02020908 Climate change policy/Ethanol fuel","scoreL3":"0.5","scoreL4":"0.5"}
|
||||||
|
{"doi":"10.1007/s10512-006-0049-9","level1":"02 engineering and technology","level2":"0211 other engineering and technologies","level3":"021108 energy","level4":"02110808 Climate change policy/Ethanol fuel","scoreL3":"0.5","scoreL4":"0.5"}
|
||||||
|
{"doi":"10.1111/j.1365-2621.2005.01045.x","level1":"04 agricultural and veterinary sciences","level2":"0404 agricultural biotechnology","level3":"040401 food science","level4":"04040102 Food science/Food industry","scoreL3":"0.5","scoreL4":"0.5"}
|
||||||
|
{"doi":"10.1111/j.1365-2621.2005.01045.x","level1":"04 agricultural and veterinary sciences","level2":"0405 other agricultural sciences","level3":"040502 food science","level4":"04050202 Food science/Food industry","scoreL3":"0.5","scoreL4":"0.5"}
|
||||||
|
{"doi":"10.1002/chin.200617262","level1":"01 natural sciences","level2":"0104 chemical sciences","level3":"010405 organic chemistry","level4":"01040508 Functional groups/Ethers","scoreL3":"0.5566747188568115","scoreL4":"0.5582916736602783"}
|
||||||
|
{"doi":"10.1002/chin.200617262","level1":"01 natural sciences","level2":"0104 chemical sciences","level3":"010402 general chemistry","level4":"01040207 Chemical synthesis/Total synthesis","scoreL3":"0.4433253407478332","scoreL4":"0.4417082965373993"}
|
||||||
|
{"doi":"10.1016/j.revmed.2006.07.012","level1":"03 medical and health sciences","level2":"0302 clinical medicine","level3":"030204 cardiovascular system & hematology","level4":"03020409 Hematology/Coagulopathies","scoreL3":"0.5101401805877686","scoreL4":"0.0546871414174914"}
|
||||||
|
{"doi":"10.1016/j.revmed.2006.07.012","level1":"03 medical and health sciences","level2":"0301 basic medicine","level3":"030105 genetics & heredity","level4":"N/A","scoreL3":"0.4898599088191986","scoreL4":"0.0"}
|
||||||
|
{"doi":"10.4109/jslab.17.132","level1":"03 medical and health sciences","level2":"0301 basic medicine","level3":"030104 developmental biology","level4":"N/A","scoreL3":"0.5","scoreL4":"0.0"}
|
||||||
|
{"doi":"10.4109/jslab.17.132","level1":"03 medical and health sciences","level2":"0303 health sciences","level3":"030304 developmental biology","level4":"N/A","scoreL3":"0.5","scoreL4":"0.0"}
|
||||||
|
{"doi":"10.1108/00251740610715687","level1":"05 social sciences","level2":"0502 economics and business","level3":"050203 business & management","level4":"05020311 International business/International trade","scoreL3":"0.605047881603241","scoreL4":"0.2156608108845153"}
|
||||||
|
{"doi":"10.1108/00251740610715687","level1":"05 social sciences","level2":"0502 economics and business","level3":"050211 marketing","level4":"N/A","scoreL3":"0.394952118396759","scoreL4":"0.0"}
|
||||||
|
{"doi":"10.1080/03067310500248098","level1":"04 agricultural and veterinary sciences","level2":"0404 agricultural biotechnology","level3":"040401 food science","level4":"04040102 Food science/Food industry","scoreL3":"0.5","scoreL4":"0.5"}
|
||||||
|
{"doi":"10.1080/03067310500248098","level1":"04 agricultural and veterinary sciences","level2":"0405 other agricultural sciences","level3":"040502 food science","level4":"04050202 Food science/Food industry","scoreL3":"0.5","scoreL4":"0.5"}
|
||||||
|
{"doi":"10.3152/147154306781778533","level1":"05 social sciences","level2":"0502 economics and business","level3":"050203 business & management","level4":"05020307 Innovation/Product management","scoreL3":"0.5293408632278442","scoreL4":"0.5326762795448303"}
|
||||||
|
{"doi":"10.3152/147154306781778533","level1":"05 social sciences","level2":"0509 other social sciences","level3":"050905 science studies","level4":"05090502 Social philosophy/Capitalism","scoreL3":"0.4706590473651886","scoreL4":"0.4673237204551697"}
|
||||||
|
{"doi":"10.1785/0120050806","level1":"02 engineering and technology","level2":"0211 other engineering and technologies","level3":"021101 geological & geomatics engineering","level4":"02110103 Concrete/Building materials","scoreL3":"0.5343400835990906","scoreL4":"0.3285667930180677"}
|
|
@ -1,57 +0,0 @@
|
||||||
|
|
||||||
package eu.dnetlib.dhp.oa.dedup;
|
|
||||||
|
|
||||||
import java.util.Objects;
|
|
||||||
|
|
||||||
import org.apache.spark.sql.Encoder;
|
|
||||||
import org.apache.spark.sql.Encoders;
|
|
||||||
import org.apache.spark.sql.expressions.Aggregator;
|
|
||||||
|
|
||||||
import eu.dnetlib.dhp.schema.oaf.Relation;
|
|
||||||
|
|
||||||
public class RelationAggregator extends Aggregator<Relation, Relation, Relation> {
|
|
||||||
|
|
||||||
private static final Relation ZERO = new Relation();
|
|
||||||
|
|
||||||
@Override
|
|
||||||
public Relation zero() {
|
|
||||||
return ZERO;
|
|
||||||
}
|
|
||||||
|
|
||||||
@Override
|
|
||||||
public Relation reduce(Relation b, Relation a) {
|
|
||||||
return mergeRel(b, a);
|
|
||||||
}
|
|
||||||
|
|
||||||
@Override
|
|
||||||
public Relation merge(Relation b, Relation a) {
|
|
||||||
return mergeRel(b, a);
|
|
||||||
}
|
|
||||||
|
|
||||||
@Override
|
|
||||||
public Relation finish(Relation r) {
|
|
||||||
return r;
|
|
||||||
}
|
|
||||||
|
|
||||||
private Relation mergeRel(Relation b, Relation a) {
|
|
||||||
if (Objects.equals(b, ZERO)) {
|
|
||||||
return a;
|
|
||||||
}
|
|
||||||
if (Objects.equals(a, ZERO)) {
|
|
||||||
return b;
|
|
||||||
}
|
|
||||||
|
|
||||||
b.mergeFrom(a);
|
|
||||||
return b;
|
|
||||||
}
|
|
||||||
|
|
||||||
@Override
|
|
||||||
public Encoder<Relation> bufferEncoder() {
|
|
||||||
return Encoders.kryo(Relation.class);
|
|
||||||
}
|
|
||||||
|
|
||||||
@Override
|
|
||||||
public Encoder<Relation> outputEncoder() {
|
|
||||||
return Encoders.kryo(Relation.class);
|
|
||||||
}
|
|
||||||
}
|
|
|
@ -1,78 +0,0 @@
|
||||||
package eu.dnetlib.dhp.oa.dedup
|
|
||||||
|
|
||||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
|
||||||
import eu.dnetlib.dhp.common.HdfsSupport
|
|
||||||
import eu.dnetlib.dhp.schema.oaf.Relation
|
|
||||||
import eu.dnetlib.dhp.utils.ISLookupClientFactory
|
|
||||||
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService
|
|
||||||
import org.apache.commons.io.IOUtils
|
|
||||||
import org.apache.spark.SparkConf
|
|
||||||
import org.apache.spark.sql._
|
|
||||||
import org.apache.spark.sql.functions.col
|
|
||||||
import org.apache.spark.sql.types.{DataTypes, StructField, StructType}
|
|
||||||
import org.slf4j.LoggerFactory
|
|
||||||
|
|
||||||
object SparkCleanRelation {
|
|
||||||
private val log = LoggerFactory.getLogger(classOf[SparkCleanRelation])
|
|
||||||
|
|
||||||
@throws[Exception]
|
|
||||||
def main(args: Array[String]): Unit = {
|
|
||||||
val parser = new ArgumentApplicationParser(
|
|
||||||
IOUtils.toString(
|
|
||||||
classOf[SparkCleanRelation].getResourceAsStream("/eu/dnetlib/dhp/oa/dedup/cleanRelation_parameters.json")
|
|
||||||
)
|
|
||||||
)
|
|
||||||
parser.parseArgument(args)
|
|
||||||
val conf = new SparkConf
|
|
||||||
|
|
||||||
new SparkCleanRelation(parser, AbstractSparkAction.getSparkSession(conf))
|
|
||||||
.run(ISLookupClientFactory.getLookUpService(parser.get("isLookUpUrl")))
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
class SparkCleanRelation(parser: ArgumentApplicationParser, spark: SparkSession)
|
|
||||||
extends AbstractSparkAction(parser, spark) {
|
|
||||||
override def run(isLookUpService: ISLookUpService): Unit = {
|
|
||||||
val graphBasePath = parser.get("graphBasePath")
|
|
||||||
val inputPath = parser.get("inputPath")
|
|
||||||
val outputPath = parser.get("outputPath")
|
|
||||||
|
|
||||||
SparkCleanRelation.log.info("graphBasePath: '{}'", graphBasePath)
|
|
||||||
SparkCleanRelation.log.info("inputPath: '{}'", inputPath)
|
|
||||||
SparkCleanRelation.log.info("outputPath: '{}'", outputPath)
|
|
||||||
|
|
||||||
AbstractSparkAction.removeOutputDir(spark, outputPath)
|
|
||||||
|
|
||||||
val entities =
|
|
||||||
Seq("datasource", "project", "organization", "publication", "dataset", "software", "otherresearchproduct")
|
|
||||||
|
|
||||||
val idsSchema = StructType.fromDDL("`id` STRING, `dataInfo` STRUCT<`deletedbyinference`:BOOLEAN,`invisible`:BOOLEAN>")
|
|
||||||
|
|
||||||
val emptyIds = spark.createDataFrame(spark.sparkContext.emptyRDD[Row].setName("empty"),
|
|
||||||
idsSchema)
|
|
||||||
|
|
||||||
val ids = entities
|
|
||||||
.foldLeft(emptyIds)((ds, entity) => {
|
|
||||||
val entityPath = graphBasePath + '/' + entity
|
|
||||||
if (HdfsSupport.exists(entityPath, spark.sparkContext.hadoopConfiguration)) {
|
|
||||||
ds.union(spark.read.schema(idsSchema).json(entityPath))
|
|
||||||
} else {
|
|
||||||
ds
|
|
||||||
}
|
|
||||||
})
|
|
||||||
.filter("dataInfo.deletedbyinference != true AND dataInfo.invisible != true")
|
|
||||||
.select("id")
|
|
||||||
.distinct()
|
|
||||||
|
|
||||||
val relations = spark.read.schema(Encoders.bean(classOf[Relation]).schema).json(inputPath)
|
|
||||||
.filter("dataInfo.deletedbyinference != true AND dataInfo.invisible != true")
|
|
||||||
|
|
||||||
AbstractSparkAction.save(
|
|
||||||
relations
|
|
||||||
.join(ids, col("source") === ids("id"), "leftsemi")
|
|
||||||
.join(ids, col("target") === ids("id"), "leftsemi"),
|
|
||||||
outputPath,
|
|
||||||
SaveMode.Overwrite
|
|
||||||
)
|
|
||||||
}
|
|
||||||
}
|
|
|
@ -7,6 +7,7 @@ import java.util.Optional;
|
||||||
import org.apache.commons.io.IOUtils;
|
import org.apache.commons.io.IOUtils;
|
||||||
import org.apache.spark.SparkConf;
|
import org.apache.spark.SparkConf;
|
||||||
import org.apache.spark.api.java.JavaRDD;
|
import org.apache.spark.api.java.JavaRDD;
|
||||||
|
import org.apache.spark.sql.Dataset;
|
||||||
import org.apache.spark.sql.Encoders;
|
import org.apache.spark.sql.Encoders;
|
||||||
import org.apache.spark.sql.SaveMode;
|
import org.apache.spark.sql.SaveMode;
|
||||||
import org.apache.spark.sql.SparkSession;
|
import org.apache.spark.sql.SparkSession;
|
||||||
|
@ -77,13 +78,12 @@ public class SparkCopyOpenorgsMergeRels extends AbstractSparkAction {
|
||||||
|
|
||||||
log.info("Number of Openorgs Merge Relations collected: {}", mergeRelsRDD.count());
|
log.info("Number of Openorgs Merge Relations collected: {}", mergeRelsRDD.count());
|
||||||
|
|
||||||
spark
|
final Dataset<Relation> relations = spark
|
||||||
.createDataset(
|
.createDataset(
|
||||||
mergeRelsRDD.rdd(),
|
mergeRelsRDD.rdd(),
|
||||||
Encoders.bean(Relation.class))
|
Encoders.bean(Relation.class));
|
||||||
.write()
|
|
||||||
.mode(SaveMode.Append)
|
saveParquet(relations, outputPath, SaveMode.Append);
|
||||||
.parquet(outputPath);
|
|
||||||
}
|
}
|
||||||
|
|
||||||
private boolean isMergeRel(Relation rel) {
|
private boolean isMergeRel(Relation rel) {
|
||||||
|
|
|
@ -67,12 +67,7 @@ public class SparkCopyRelationsNoOpenorgs extends AbstractSparkAction {
|
||||||
log.debug("Number of non-Openorgs relations collected: {}", simRels.count());
|
log.debug("Number of non-Openorgs relations collected: {}", simRels.count());
|
||||||
}
|
}
|
||||||
|
|
||||||
spark
|
save(spark.createDataset(simRels.rdd(), Encoders.bean(Relation.class)), outputPath, SaveMode.Overwrite);
|
||||||
.createDataset(simRels.rdd(), Encoders.bean(Relation.class))
|
|
||||||
.write()
|
|
||||||
.mode(SaveMode.Overwrite)
|
|
||||||
.json(outputPath);
|
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
|
@ -155,7 +155,7 @@ public class SparkCreateMergeRels extends AbstractSparkAction {
|
||||||
(FlatMapFunction<ConnectedComponent, Relation>) cc -> ccToMergeRel(cc, dedupConf),
|
(FlatMapFunction<ConnectedComponent, Relation>) cc -> ccToMergeRel(cc, dedupConf),
|
||||||
Encoders.bean(Relation.class));
|
Encoders.bean(Relation.class));
|
||||||
|
|
||||||
mergeRels.write().mode(SaveMode.Overwrite).parquet(mergeRelPath);
|
saveParquet(mergeRels, mergeRelPath, SaveMode.Overwrite);
|
||||||
|
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
|
@ -72,11 +72,7 @@ public class SparkCreateOrgsDedupRecord extends AbstractSparkAction {
|
||||||
|
|
||||||
final String mergeRelsPath = DedupUtility.createMergeRelPath(workingPath, actionSetId, "organization");
|
final String mergeRelsPath = DedupUtility.createMergeRelPath(workingPath, actionSetId, "organization");
|
||||||
|
|
||||||
rootOrganization(spark, entityPath, mergeRelsPath)
|
save(rootOrganization(spark, entityPath, mergeRelsPath), outputPath, SaveMode.Overwrite);
|
||||||
.write()
|
|
||||||
.mode(SaveMode.Overwrite)
|
|
||||||
.option("compression", "gzip")
|
|
||||||
.json(outputPath);
|
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
|
@ -82,8 +82,6 @@ public class SparkCreateSimRels extends AbstractSparkAction {
|
||||||
final String outputPath = DedupUtility.createSimRelPath(workingPath, actionSetId, subEntity);
|
final String outputPath = DedupUtility.createSimRelPath(workingPath, actionSetId, subEntity);
|
||||||
removeOutputDir(spark, outputPath);
|
removeOutputDir(spark, outputPath);
|
||||||
|
|
||||||
JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
|
||||||
|
|
||||||
SparkDeduper deduper = new SparkDeduper(dedupConf);
|
SparkDeduper deduper = new SparkDeduper(dedupConf);
|
||||||
|
|
||||||
Dataset<?> simRels = spark
|
Dataset<?> simRels = spark
|
||||||
|
|
|
@ -3,23 +3,19 @@ package eu.dnetlib.dhp.oa.dedup;
|
||||||
|
|
||||||
import static org.apache.spark.sql.functions.col;
|
import static org.apache.spark.sql.functions.col;
|
||||||
|
|
||||||
import java.util.Arrays;
|
|
||||||
import java.util.Collections;
|
|
||||||
import java.util.Iterator;
|
|
||||||
import java.util.Objects;
|
|
||||||
|
|
||||||
import org.apache.commons.beanutils.BeanUtils;
|
|
||||||
import org.apache.commons.io.IOUtils;
|
import org.apache.commons.io.IOUtils;
|
||||||
import org.apache.commons.lang3.StringUtils;
|
|
||||||
import org.apache.spark.SparkConf;
|
import org.apache.spark.SparkConf;
|
||||||
import org.apache.spark.api.java.function.FilterFunction;
|
|
||||||
import org.apache.spark.api.java.function.MapFunction;
|
import org.apache.spark.api.java.function.MapFunction;
|
||||||
import org.apache.spark.api.java.function.ReduceFunction;
|
import org.apache.spark.api.java.function.ReduceFunction;
|
||||||
import org.apache.spark.sql.*;
|
import org.apache.spark.sql.*;
|
||||||
|
import org.apache.spark.sql.catalyst.encoders.RowEncoder;
|
||||||
|
import org.apache.spark.sql.types.StructType;
|
||||||
import org.slf4j.Logger;
|
import org.slf4j.Logger;
|
||||||
import org.slf4j.LoggerFactory;
|
import org.slf4j.LoggerFactory;
|
||||||
|
|
||||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||||
|
import eu.dnetlib.dhp.common.HdfsSupport;
|
||||||
|
import eu.dnetlib.dhp.schema.common.EntityType;
|
||||||
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||||
import eu.dnetlib.dhp.schema.common.ModelSupport;
|
import eu.dnetlib.dhp.schema.common.ModelSupport;
|
||||||
import eu.dnetlib.dhp.schema.oaf.DataInfo;
|
import eu.dnetlib.dhp.schema.oaf.DataInfo;
|
||||||
|
@ -70,73 +66,63 @@ public class SparkPropagateRelation extends AbstractSparkAction {
|
||||||
log.info("workingPath: '{}'", workingPath);
|
log.info("workingPath: '{}'", workingPath);
|
||||||
log.info("graphOutputPath: '{}'", graphOutputPath);
|
log.info("graphOutputPath: '{}'", graphOutputPath);
|
||||||
|
|
||||||
final String outputRelationPath = DedupUtility.createEntityPath(graphOutputPath, "relation");
|
|
||||||
removeOutputDir(spark, outputRelationPath);
|
|
||||||
|
|
||||||
Dataset<Relation> mergeRels = spark
|
Dataset<Relation> mergeRels = spark
|
||||||
.read()
|
.read()
|
||||||
.load(DedupUtility.createMergeRelPath(workingPath, "*", "*"))
|
.load(DedupUtility.createMergeRelPath(workingPath, "*", "*"))
|
||||||
.as(REL_BEAN_ENC);
|
.as(REL_BEAN_ENC);
|
||||||
|
|
||||||
// <mergedObjectID, dedupID>
|
// <mergedObjectID, dedupID>
|
||||||
Dataset<Row> mergedIds = mergeRels
|
Dataset<Row> idsToMerge = mergeRels
|
||||||
.where(col("relClass").equalTo(ModelConstants.MERGES))
|
.where(col("relClass").equalTo(ModelConstants.MERGES))
|
||||||
.select(col("source").as("dedupID"), col("target").as("mergedObjectID"))
|
.select(col("source").as("dedupID"), col("target").as("mergedObjectID"))
|
||||||
.distinct()
|
.distinct();
|
||||||
.cache();
|
|
||||||
|
|
||||||
Dataset<Row> allRels = spark
|
Dataset<Row> allRels = spark
|
||||||
.read()
|
.read()
|
||||||
.schema(REL_BEAN_ENC.schema())
|
.schema(REL_BEAN_ENC.schema())
|
||||||
.json(DedupUtility.createEntityPath(graphBasePath, "relation"));
|
.json(graphBasePath + "/relation");
|
||||||
|
|
||||||
Dataset<Relation> dedupedRels = allRels
|
Dataset<Relation> dedupedRels = allRels
|
||||||
.joinWith(mergedIds, allRels.col("source").equalTo(mergedIds.col("mergedObjectID")), "left_outer")
|
.joinWith(idsToMerge, allRels.col("source").equalTo(idsToMerge.col("mergedObjectID")), "left_outer")
|
||||||
.joinWith(mergedIds, col("_1.target").equalTo(mergedIds.col("mergedObjectID")), "left_outer")
|
.joinWith(idsToMerge, col("_1.target").equalTo(idsToMerge.col("mergedObjectID")), "left_outer")
|
||||||
.select("_1._1", "_1._2.dedupID", "_2.dedupID")
|
.select("_1._1", "_1._2.dedupID", "_2.dedupID")
|
||||||
.as(Encoders.tuple(REL_BEAN_ENC, Encoders.STRING(), Encoders.STRING()))
|
.as(Encoders.tuple(REL_BEAN_ENC, Encoders.STRING(), Encoders.STRING()))
|
||||||
.flatMap(SparkPropagateRelation::addInferredRelations, REL_KRYO_ENC);
|
.map((MapFunction<Tuple3<Relation, String, String>, Relation>) t -> {
|
||||||
|
Relation rel = t._1();
|
||||||
Dataset<Relation> processedRelations = distinctRelations(
|
|
||||||
dedupedRels.union(mergeRels.map((MapFunction<Relation, Relation>) r -> r, REL_KRYO_ENC)))
|
|
||||||
.filter((FilterFunction<Relation>) r -> !Objects.equals(r.getSource(), r.getTarget()));
|
|
||||||
|
|
||||||
save(processedRelations, outputRelationPath, SaveMode.Overwrite);
|
|
||||||
}
|
|
||||||
|
|
||||||
private static Iterator<Relation> addInferredRelations(Tuple3<Relation, String, String> t) throws Exception {
|
|
||||||
Relation existingRel = t._1();
|
|
||||||
String newSource = t._2();
|
String newSource = t._2();
|
||||||
String newTarget = t._3();
|
String newTarget = t._3();
|
||||||
|
|
||||||
if (newSource == null && newTarget == null) {
|
if (rel.getDataInfo() == null) {
|
||||||
return Collections.singleton(t._1()).iterator();
|
rel.setDataInfo(new DataInfo());
|
||||||
}
|
}
|
||||||
|
|
||||||
// update existing relation
|
if (newSource != null || newTarget != null) {
|
||||||
if (existingRel.getDataInfo() == null) {
|
rel.getDataInfo().setDeletedbyinference(false);
|
||||||
existingRel.setDataInfo(new DataInfo());
|
|
||||||
}
|
|
||||||
existingRel.getDataInfo().setDeletedbyinference(true);
|
|
||||||
|
|
||||||
// Create new relation inferred by dedupIDs
|
|
||||||
Relation inferredRel = (Relation) BeanUtils.cloneBean(existingRel);
|
|
||||||
|
|
||||||
inferredRel.setDataInfo((DataInfo) BeanUtils.cloneBean(existingRel.getDataInfo()));
|
|
||||||
inferredRel.getDataInfo().setDeletedbyinference(false);
|
|
||||||
|
|
||||||
if (newSource != null)
|
if (newSource != null)
|
||||||
inferredRel.setSource(newSource);
|
rel.setSource(newSource);
|
||||||
|
|
||||||
if (newTarget != null)
|
if (newTarget != null)
|
||||||
inferredRel.setTarget(newTarget);
|
rel.setTarget(newTarget);
|
||||||
|
|
||||||
return Arrays.asList(existingRel, inferredRel).iterator();
|
|
||||||
}
|
}
|
||||||
|
|
||||||
private Dataset<Relation> distinctRelations(Dataset<Relation> rels) {
|
return rel;
|
||||||
return rels
|
}, REL_BEAN_ENC);
|
||||||
.filter(getRelationFilterFunction())
|
|
||||||
|
// ids of records that are both not deletedbyinference and not invisible
|
||||||
|
Dataset<Row> ids = validIds(spark, graphBasePath);
|
||||||
|
|
||||||
|
// filter relations that point to valid records, can force them to be visible
|
||||||
|
Dataset<Relation> cleanedRels = dedupedRels
|
||||||
|
.join(ids, col("source").equalTo(ids.col("id")), "leftsemi")
|
||||||
|
.join(ids, col("target").equalTo(ids.col("id")), "leftsemi")
|
||||||
|
.as(REL_BEAN_ENC)
|
||||||
|
.map((MapFunction<Relation, Relation>) r -> {
|
||||||
|
r.getDataInfo().setInvisible(false);
|
||||||
|
return r;
|
||||||
|
}, REL_KRYO_ENC);
|
||||||
|
|
||||||
|
Dataset<Relation> distinctRels = cleanedRels
|
||||||
.groupByKey(
|
.groupByKey(
|
||||||
(MapFunction<Relation, String>) r -> String
|
(MapFunction<Relation, String>) r -> String
|
||||||
.join(" ", r.getSource(), r.getTarget(), r.getRelType(), r.getSubRelType(), r.getRelClass()),
|
.join(" ", r.getSource(), r.getTarget(), r.getRelType(), r.getSubRelType(), r.getRelClass()),
|
||||||
|
@ -146,13 +132,33 @@ public class SparkPropagateRelation extends AbstractSparkAction {
|
||||||
return b;
|
return b;
|
||||||
})
|
})
|
||||||
.map((MapFunction<Tuple2<String, Relation>, Relation>) Tuple2::_2, REL_BEAN_ENC);
|
.map((MapFunction<Tuple2<String, Relation>, Relation>) Tuple2::_2, REL_BEAN_ENC);
|
||||||
|
|
||||||
|
final String outputRelationPath = graphOutputPath + "/relation";
|
||||||
|
removeOutputDir(spark, outputRelationPath);
|
||||||
|
save(
|
||||||
|
distinctRels
|
||||||
|
.union(mergeRels)
|
||||||
|
.filter("source != target AND dataInfo.deletedbyinference != true AND dataInfo.invisible != true"),
|
||||||
|
outputRelationPath,
|
||||||
|
SaveMode.Overwrite);
|
||||||
}
|
}
|
||||||
|
|
||||||
private FilterFunction<Relation> getRelationFilterFunction() {
|
static Dataset<Row> validIds(SparkSession spark, String graphBasePath) {
|
||||||
return r -> StringUtils.isNotBlank(r.getSource()) ||
|
StructType idsSchema = StructType
|
||||||
StringUtils.isNotBlank(r.getTarget()) ||
|
.fromDDL("`id` STRING, `dataInfo` STRUCT<`deletedbyinference`:BOOLEAN,`invisible`:BOOLEAN>");
|
||||||
StringUtils.isNotBlank(r.getRelType()) ||
|
|
||||||
StringUtils.isNotBlank(r.getSubRelType()) ||
|
Dataset<Row> allIds = spark.emptyDataset(RowEncoder.apply(idsSchema));
|
||||||
StringUtils.isNotBlank(r.getRelClass());
|
|
||||||
|
for (EntityType entityType : ModelSupport.entityTypes.keySet()) {
|
||||||
|
String entityPath = graphBasePath + '/' + entityType.name();
|
||||||
|
if (HdfsSupport.exists(entityPath, spark.sparkContext().hadoopConfiguration())) {
|
||||||
|
allIds = allIds.union(spark.read().schema(idsSchema).json(entityPath));
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
return allIds
|
||||||
|
.filter("dataInfo.deletedbyinference != true AND dataInfo.invisible != true")
|
||||||
|
.select("id")
|
||||||
|
.distinct();
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
|
@ -67,8 +67,6 @@ public class SparkWhitelistSimRels extends AbstractSparkAction {
|
||||||
log.info("workingPath: '{}'", workingPath);
|
log.info("workingPath: '{}'", workingPath);
|
||||||
log.info("whiteListPath: '{}'", whiteListPath);
|
log.info("whiteListPath: '{}'", whiteListPath);
|
||||||
|
|
||||||
JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
|
||||||
|
|
||||||
// file format: source####target
|
// file format: source####target
|
||||||
Dataset<Row> whiteListRels = spark
|
Dataset<Row> whiteListRels = spark
|
||||||
.read()
|
.read()
|
||||||
|
|
|
@ -1,20 +0,0 @@
|
||||||
[
|
|
||||||
{
|
|
||||||
"paramName": "i",
|
|
||||||
"paramLongName": "graphBasePath",
|
|
||||||
"paramDescription": "the base path of raw graph",
|
|
||||||
"paramRequired": true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"paramName": "w",
|
|
||||||
"paramLongName": "inputPath",
|
|
||||||
"paramDescription": "the path to the input relation to cleanup",
|
|
||||||
"paramRequired": true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"paramName": "o",
|
|
||||||
"paramLongName": "outputPath",
|
|
||||||
"paramDescription": "the path of the output relation cleaned",
|
|
||||||
"paramRequired": true
|
|
||||||
}
|
|
||||||
]
|
|
|
@ -100,35 +100,9 @@
|
||||||
--conf spark.sql.shuffle.partitions=15000
|
--conf spark.sql.shuffle.partitions=15000
|
||||||
</spark-opts>
|
</spark-opts>
|
||||||
<arg>--graphBasePath</arg><arg>${graphBasePath}</arg>
|
<arg>--graphBasePath</arg><arg>${graphBasePath}</arg>
|
||||||
<arg>--graphOutputPath</arg><arg>${workingPath}/propagaterelation/</arg>
|
<arg>--graphOutputPath</arg><arg>${graphOutputPath}</arg>
|
||||||
<arg>--workingPath</arg><arg>${workingPath}</arg>
|
<arg>--workingPath</arg><arg>${workingPath}</arg>
|
||||||
</spark>
|
</spark>
|
||||||
<ok to="CleanRelation"/>
|
|
||||||
<error to="Kill"/>
|
|
||||||
</action>
|
|
||||||
|
|
||||||
<action name="CleanRelation">
|
|
||||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
|
||||||
<master>yarn</master>
|
|
||||||
<mode>cluster</mode>
|
|
||||||
<name>Clean Relations</name>
|
|
||||||
<class>eu.dnetlib.dhp.oa.dedup.SparkCleanRelation</class>
|
|
||||||
<jar>dhp-dedup-openaire-${projectVersion}.jar</jar>
|
|
||||||
<spark-opts>
|
|
||||||
--executor-memory=${sparkExecutorMemory}
|
|
||||||
--conf spark.executor.memoryOverhead=${sparkExecutorMemoryOverhead}
|
|
||||||
--executor-cores=${sparkExecutorCores}
|
|
||||||
--driver-memory=${sparkDriverMemory}
|
|
||||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
|
||||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
|
||||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
|
||||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
|
||||||
--conf spark.sql.shuffle.partitions=15000
|
|
||||||
</spark-opts>
|
|
||||||
<arg>--graphBasePath</arg><arg>${graphBasePath}</arg>
|
|
||||||
<arg>--inputPath</arg><arg>${workingPath}/propagaterelation/relation</arg>
|
|
||||||
<arg>--outputPath</arg><arg>${graphOutputPath}/relation</arg>
|
|
||||||
</spark>
|
|
||||||
<ok to="group_entities"/>
|
<ok to="group_entities"/>
|
||||||
<error to="Kill"/>
|
<error to="Kill"/>
|
||||||
</action>
|
</action>
|
||||||
|
@ -152,31 +126,7 @@
|
||||||
--conf spark.sql.shuffle.partitions=15000
|
--conf spark.sql.shuffle.partitions=15000
|
||||||
</spark-opts>
|
</spark-opts>
|
||||||
<arg>--graphInputPath</arg><arg>${graphBasePath}</arg>
|
<arg>--graphInputPath</arg><arg>${graphBasePath}</arg>
|
||||||
<arg>--outputPath</arg><arg>${workingPath}/grouped_entities</arg>
|
<arg>--checkpointPath</arg><arg>${workingPath}/grouped_entities</arg>
|
||||||
</spark>
|
|
||||||
<ok to="dispatch_entities"/>
|
|
||||||
<error to="Kill"/>
|
|
||||||
</action>
|
|
||||||
|
|
||||||
<action name="dispatch_entities">
|
|
||||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
|
||||||
<master>yarn</master>
|
|
||||||
<mode>cluster</mode>
|
|
||||||
<name>Dispatch grouped entitities</name>
|
|
||||||
<class>eu.dnetlib.dhp.oa.merge.DispatchEntitiesSparkJob</class>
|
|
||||||
<jar>dhp-dedup-openaire-${projectVersion}.jar</jar>
|
|
||||||
<spark-opts>
|
|
||||||
--executor-memory=${sparkExecutorMemory}
|
|
||||||
--conf spark.executor.memoryOverhead=${sparkExecutorMemoryOverhead}
|
|
||||||
--executor-cores=${sparkExecutorCores}
|
|
||||||
--driver-memory=${sparkDriverMemory}
|
|
||||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
|
||||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
|
||||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
|
||||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
|
||||||
--conf spark.sql.shuffle.partitions=7680
|
|
||||||
</spark-opts>
|
|
||||||
<arg>--inputPath</arg><arg>${workingPath}/grouped_entities</arg>
|
|
||||||
<arg>--outputPath</arg><arg>${graphOutputPath}</arg>
|
<arg>--outputPath</arg><arg>${graphOutputPath}</arg>
|
||||||
<arg>--filterInvisible</arg><arg>${filterInvisible}</arg>
|
<arg>--filterInvisible</arg><arg>${filterInvisible}</arg>
|
||||||
</spark>
|
</spark>
|
||||||
|
|
|
@ -3,7 +3,6 @@ package eu.dnetlib.dhp.oa.dedup;
|
||||||
|
|
||||||
import static java.nio.file.Files.createTempDirectory;
|
import static java.nio.file.Files.createTempDirectory;
|
||||||
|
|
||||||
import static org.apache.spark.sql.functions.col;
|
|
||||||
import static org.apache.spark.sql.functions.count;
|
import static org.apache.spark.sql.functions.count;
|
||||||
import static org.junit.jupiter.api.Assertions.*;
|
import static org.junit.jupiter.api.Assertions.*;
|
||||||
import static org.mockito.Mockito.lenient;
|
import static org.mockito.Mockito.lenient;
|
||||||
|
@ -23,14 +22,13 @@ import java.util.stream.Collectors;
|
||||||
import org.apache.commons.io.FileUtils;
|
import org.apache.commons.io.FileUtils;
|
||||||
import org.apache.commons.io.IOUtils;
|
import org.apache.commons.io.IOUtils;
|
||||||
import org.apache.spark.SparkConf;
|
import org.apache.spark.SparkConf;
|
||||||
import org.apache.spark.api.java.JavaPairRDD;
|
|
||||||
import org.apache.spark.api.java.JavaRDD;
|
|
||||||
import org.apache.spark.api.java.JavaSparkContext;
|
import org.apache.spark.api.java.JavaSparkContext;
|
||||||
import org.apache.spark.api.java.function.FilterFunction;
|
import org.apache.spark.api.java.function.FilterFunction;
|
||||||
import org.apache.spark.api.java.function.MapFunction;
|
import org.apache.spark.api.java.function.MapFunction;
|
||||||
import org.apache.spark.api.java.function.PairFunction;
|
|
||||||
import org.apache.spark.sql.*;
|
|
||||||
import org.apache.spark.sql.Dataset;
|
import org.apache.spark.sql.Dataset;
|
||||||
|
import org.apache.spark.sql.Encoders;
|
||||||
|
import org.apache.spark.sql.Row;
|
||||||
|
import org.apache.spark.sql.SparkSession;
|
||||||
import org.junit.jupiter.api.*;
|
import org.junit.jupiter.api.*;
|
||||||
import org.junit.jupiter.api.extension.ExtendWith;
|
import org.junit.jupiter.api.extension.ExtendWith;
|
||||||
import org.mockito.Mock;
|
import org.mockito.Mock;
|
||||||
|
@ -46,8 +44,6 @@ import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||||
import eu.dnetlib.dhp.schema.oaf.*;
|
import eu.dnetlib.dhp.schema.oaf.*;
|
||||||
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
|
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
|
||||||
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
|
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
|
||||||
import eu.dnetlib.pace.util.MapDocumentUtil;
|
|
||||||
import scala.Tuple2;
|
|
||||||
|
|
||||||
@ExtendWith(MockitoExtension.class)
|
@ExtendWith(MockitoExtension.class)
|
||||||
@TestMethodOrder(MethodOrderer.OrderAnnotation.class)
|
@TestMethodOrder(MethodOrderer.OrderAnnotation.class)
|
||||||
|
@ -62,6 +58,8 @@ public class SparkDedupTest implements Serializable {
|
||||||
private static String testGraphBasePath;
|
private static String testGraphBasePath;
|
||||||
private static String testOutputBasePath;
|
private static String testOutputBasePath;
|
||||||
private static String testDedupGraphBasePath;
|
private static String testDedupGraphBasePath;
|
||||||
|
private static String testConsistencyGraphBasePath;
|
||||||
|
|
||||||
private static final String testActionSetId = "test-orchestrator";
|
private static final String testActionSetId = "test-orchestrator";
|
||||||
private static String whitelistPath;
|
private static String whitelistPath;
|
||||||
private static List<String> whiteList;
|
private static List<String> whiteList;
|
||||||
|
@ -75,6 +73,7 @@ public class SparkDedupTest implements Serializable {
|
||||||
.get(SparkDedupTest.class.getResource("/eu/dnetlib/dhp/dedup/entities").toURI())
|
.get(SparkDedupTest.class.getResource("/eu/dnetlib/dhp/dedup/entities").toURI())
|
||||||
.toFile()
|
.toFile()
|
||||||
.getAbsolutePath();
|
.getAbsolutePath();
|
||||||
|
|
||||||
testOutputBasePath = createTempDirectory(SparkDedupTest.class.getSimpleName() + "-")
|
testOutputBasePath = createTempDirectory(SparkDedupTest.class.getSimpleName() + "-")
|
||||||
.toAbsolutePath()
|
.toAbsolutePath()
|
||||||
.toString();
|
.toString();
|
||||||
|
@ -83,6 +82,10 @@ public class SparkDedupTest implements Serializable {
|
||||||
.toAbsolutePath()
|
.toAbsolutePath()
|
||||||
.toString();
|
.toString();
|
||||||
|
|
||||||
|
testConsistencyGraphBasePath = createTempDirectory(SparkDedupTest.class.getSimpleName() + "-")
|
||||||
|
.toAbsolutePath()
|
||||||
|
.toString();
|
||||||
|
|
||||||
whitelistPath = Paths
|
whitelistPath = Paths
|
||||||
.get(SparkDedupTest.class.getResource("/eu/dnetlib/dhp/dedup/whitelist.simrels.txt").toURI())
|
.get(SparkDedupTest.class.getResource("/eu/dnetlib/dhp/dedup/whitelist.simrels.txt").toURI())
|
||||||
.toFile()
|
.toFile()
|
||||||
|
@ -674,22 +677,45 @@ public class SparkDedupTest implements Serializable {
|
||||||
assertEquals(mergedOrp, deletedOrp);
|
assertEquals(mergedOrp, deletedOrp);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
@Order(6)
|
||||||
|
void copyRelationsNoOpenorgsTest() throws Exception {
|
||||||
|
|
||||||
|
ArgumentApplicationParser parser = new ArgumentApplicationParser(
|
||||||
|
IOUtils
|
||||||
|
.toString(
|
||||||
|
SparkCopyRelationsNoOpenorgs.class
|
||||||
|
.getResourceAsStream(
|
||||||
|
"/eu/dnetlib/dhp/oa/dedup/updateEntity_parameters.json")));
|
||||||
|
parser
|
||||||
|
.parseArgument(
|
||||||
|
new String[] {
|
||||||
|
"-i", testGraphBasePath, "-w", testOutputBasePath, "-o", testDedupGraphBasePath
|
||||||
|
});
|
||||||
|
|
||||||
|
new SparkCopyRelationsNoOpenorgs(parser, spark).run(isLookUpService);
|
||||||
|
|
||||||
|
final Dataset<Row> outputRels = spark.read().text(testDedupGraphBasePath + "/relation");
|
||||||
|
|
||||||
|
System.out.println(outputRels.count());
|
||||||
|
// assertEquals(2382, outputRels.count());
|
||||||
|
}
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
@Order(7)
|
@Order(7)
|
||||||
void propagateRelationTest() throws Exception {
|
void propagateRelationTest() throws Exception {
|
||||||
|
|
||||||
ArgumentApplicationParser parser = new ArgumentApplicationParser(
|
ArgumentApplicationParser parser = new ArgumentApplicationParser(
|
||||||
classPathResourceAsString("/eu/dnetlib/dhp/oa/dedup/propagateRelation_parameters.json"));
|
classPathResourceAsString("/eu/dnetlib/dhp/oa/dedup/propagateRelation_parameters.json"));
|
||||||
String outputRelPath = testDedupGraphBasePath + "/propagaterelation";
|
|
||||||
parser
|
parser
|
||||||
.parseArgument(
|
.parseArgument(
|
||||||
new String[] {
|
new String[] {
|
||||||
"-i", testGraphBasePath, "-w", testOutputBasePath, "-o", outputRelPath
|
"-i", testDedupGraphBasePath, "-w", testOutputBasePath, "-o", testConsistencyGraphBasePath
|
||||||
});
|
});
|
||||||
|
|
||||||
new SparkPropagateRelation(parser, spark).run(isLookUpService);
|
new SparkPropagateRelation(parser, spark).run(isLookUpService);
|
||||||
|
|
||||||
long relations = jsc.textFile(outputRelPath + "/relation").count();
|
long relations = jsc.textFile(testDedupGraphBasePath + "/relation").count();
|
||||||
|
|
||||||
// assertEquals(4860, relations);
|
// assertEquals(4860, relations);
|
||||||
System.out.println("relations = " + relations);
|
System.out.println("relations = " + relations);
|
||||||
|
@ -699,95 +725,52 @@ public class SparkDedupTest implements Serializable {
|
||||||
.read()
|
.read()
|
||||||
.load(DedupUtility.createMergeRelPath(testOutputBasePath, "*", "*"))
|
.load(DedupUtility.createMergeRelPath(testOutputBasePath, "*", "*"))
|
||||||
.as(Encoders.bean(Relation.class));
|
.as(Encoders.bean(Relation.class));
|
||||||
final JavaPairRDD<String, String> mergedIds = mergeRels
|
|
||||||
.where("relClass == 'merges'")
|
|
||||||
.select(mergeRels.col("target"))
|
|
||||||
.distinct()
|
|
||||||
.toJavaRDD()
|
|
||||||
.mapToPair(
|
|
||||||
(PairFunction<Row, String, String>) r -> new Tuple2<String, String>(r.getString(0), "d"));
|
|
||||||
|
|
||||||
JavaRDD<String> toCheck = jsc
|
Dataset<Row> inputRels = spark
|
||||||
.textFile(outputRelPath + "/relation")
|
.read()
|
||||||
.mapToPair(json -> new Tuple2<>(MapDocumentUtil.getJPathString("$.source", json), json))
|
.json(testDedupGraphBasePath + "/relation");
|
||||||
.join(mergedIds)
|
|
||||||
.map(t -> t._2()._1())
|
|
||||||
.mapToPair(json -> new Tuple2<>(MapDocumentUtil.getJPathString("$.target", json), json))
|
|
||||||
.join(mergedIds)
|
|
||||||
.map(t -> t._2()._1());
|
|
||||||
|
|
||||||
long deletedbyinference = toCheck.filter(this::isDeletedByInference).count();
|
Dataset<Row> outputRels = spark
|
||||||
long updated = toCheck.count();
|
.read()
|
||||||
|
.json(testConsistencyGraphBasePath + "/relation");
|
||||||
|
|
||||||
assertEquals(updated, deletedbyinference);
|
assertEquals(
|
||||||
|
0, outputRels
|
||||||
|
.filter("dataInfo.deletedbyinference == true OR dataInfo.invisible == true")
|
||||||
|
.count());
|
||||||
|
|
||||||
|
assertEquals(
|
||||||
|
5, outputRels
|
||||||
|
.filter("relClass NOT IN ('merges', 'isMergedIn')")
|
||||||
|
.count());
|
||||||
|
|
||||||
|
assertEquals(5 + mergeRels.count(), outputRels.count());
|
||||||
}
|
}
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
@Order(8)
|
@Order(8)
|
||||||
void testCleanBaseRelations() throws Exception {
|
void testCleanedPropagatedRelations() throws Exception {
|
||||||
ArgumentApplicationParser parser = new ArgumentApplicationParser(
|
|
||||||
classPathResourceAsString("/eu/dnetlib/dhp/oa/dedup/cleanRelation_parameters.json"));
|
|
||||||
|
|
||||||
// append dangling relations to be cleaned up
|
|
||||||
Dataset<Row> df_before = spark
|
Dataset<Row> df_before = spark
|
||||||
.read()
|
.read()
|
||||||
.schema(Encoders.bean(Relation.class).schema())
|
.schema(Encoders.bean(Relation.class).schema())
|
||||||
.json(testGraphBasePath + "/relation");
|
.json(testDedupGraphBasePath + "/relation");
|
||||||
Dataset<Row> df_input = df_before
|
|
||||||
.unionByName(df_before.drop("source").withColumn("source", functions.lit("n/a")))
|
|
||||||
.unionByName(df_before.drop("target").withColumn("target", functions.lit("n/a")));
|
|
||||||
df_input.write().mode(SaveMode.Overwrite).json(testOutputBasePath + "_tmp");
|
|
||||||
|
|
||||||
parser
|
|
||||||
.parseArgument(
|
|
||||||
new String[] {
|
|
||||||
"--graphBasePath", testGraphBasePath,
|
|
||||||
"--inputPath", testGraphBasePath + "/relation",
|
|
||||||
"--outputPath", testDedupGraphBasePath + "/relation"
|
|
||||||
});
|
|
||||||
|
|
||||||
new SparkCleanRelation(parser, spark).run(isLookUpService);
|
|
||||||
|
|
||||||
Dataset<Row> df_after = spark
|
Dataset<Row> df_after = spark
|
||||||
.read()
|
.read()
|
||||||
.schema(Encoders.bean(Relation.class).schema())
|
.schema(Encoders.bean(Relation.class).schema())
|
||||||
.json(testDedupGraphBasePath + "/relation");
|
.json(testConsistencyGraphBasePath + "/relation");
|
||||||
|
|
||||||
assertNotEquals(df_before.count(), df_input.count());
|
|
||||||
assertNotEquals(df_input.count(), df_after.count());
|
|
||||||
assertEquals(5, df_after.count());
|
|
||||||
}
|
|
||||||
|
|
||||||
@Test
|
|
||||||
@Order(9)
|
|
||||||
void testCleanDedupedRelations() throws Exception {
|
|
||||||
ArgumentApplicationParser parser = new ArgumentApplicationParser(
|
|
||||||
classPathResourceAsString("/eu/dnetlib/dhp/oa/dedup/cleanRelation_parameters.json"));
|
|
||||||
|
|
||||||
String inputRelPath = testDedupGraphBasePath + "/propagaterelation/relation";
|
|
||||||
|
|
||||||
// append dangling relations to be cleaned up
|
|
||||||
Dataset<Row> df_before = spark.read().schema(Encoders.bean(Relation.class).schema()).json(inputRelPath);
|
|
||||||
|
|
||||||
df_before.filter(col("dataInfo.deletedbyinference").notEqual(true)).show(50, false);
|
|
||||||
|
|
||||||
parser
|
|
||||||
.parseArgument(
|
|
||||||
new String[] {
|
|
||||||
"--graphBasePath", testGraphBasePath,
|
|
||||||
"--inputPath", inputRelPath,
|
|
||||||
"--outputPath", testDedupGraphBasePath + "/relation"
|
|
||||||
});
|
|
||||||
|
|
||||||
new SparkCleanRelation(parser, spark).run(isLookUpService);
|
|
||||||
|
|
||||||
Dataset<Row> df_after = spark
|
|
||||||
.read()
|
|
||||||
.schema(Encoders.bean(Relation.class).schema())
|
|
||||||
.json(testDedupGraphBasePath + "/relation");
|
|
||||||
|
|
||||||
assertNotEquals(df_before.count(), df_after.count());
|
assertNotEquals(df_before.count(), df_after.count());
|
||||||
assertEquals(0, df_after.count());
|
|
||||||
|
assertEquals(
|
||||||
|
0, df_after
|
||||||
|
.filter("dataInfo.deletedbyinference == true OR dataInfo.invisible == true")
|
||||||
|
.count());
|
||||||
|
|
||||||
|
assertEquals(
|
||||||
|
5, df_after
|
||||||
|
.filter("relClass NOT IN ('merges', 'isMergedIn')")
|
||||||
|
.count());
|
||||||
}
|
}
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
|
@ -813,6 +796,7 @@ public class SparkDedupTest implements Serializable {
|
||||||
public static void finalCleanUp() throws IOException {
|
public static void finalCleanUp() throws IOException {
|
||||||
FileUtils.deleteDirectory(new File(testOutputBasePath));
|
FileUtils.deleteDirectory(new File(testOutputBasePath));
|
||||||
FileUtils.deleteDirectory(new File(testDedupGraphBasePath));
|
FileUtils.deleteDirectory(new File(testDedupGraphBasePath));
|
||||||
|
FileUtils.deleteDirectory(new File(testConsistencyGraphBasePath));
|
||||||
}
|
}
|
||||||
|
|
||||||
public boolean isDeletedByInference(String s) {
|
public boolean isDeletedByInference(String s) {
|
||||||
|
|
|
@ -3,6 +3,7 @@ package eu.dnetlib.dhp.oa.dedup;
|
||||||
|
|
||||||
import static java.nio.file.Files.createTempDirectory;
|
import static java.nio.file.Files.createTempDirectory;
|
||||||
|
|
||||||
|
import static org.apache.spark.sql.functions.col;
|
||||||
import static org.junit.jupiter.api.Assertions.assertEquals;
|
import static org.junit.jupiter.api.Assertions.assertEquals;
|
||||||
import static org.mockito.Mockito.lenient;
|
import static org.mockito.Mockito.lenient;
|
||||||
|
|
||||||
|
@ -15,10 +16,6 @@ import java.nio.file.Paths;
|
||||||
import org.apache.commons.io.FileUtils;
|
import org.apache.commons.io.FileUtils;
|
||||||
import org.apache.commons.io.IOUtils;
|
import org.apache.commons.io.IOUtils;
|
||||||
import org.apache.spark.SparkConf;
|
import org.apache.spark.SparkConf;
|
||||||
import org.apache.spark.api.java.JavaPairRDD;
|
|
||||||
import org.apache.spark.api.java.JavaRDD;
|
|
||||||
import org.apache.spark.api.java.JavaSparkContext;
|
|
||||||
import org.apache.spark.api.java.function.PairFunction;
|
|
||||||
import org.apache.spark.sql.Dataset;
|
import org.apache.spark.sql.Dataset;
|
||||||
import org.apache.spark.sql.Encoders;
|
import org.apache.spark.sql.Encoders;
|
||||||
import org.apache.spark.sql.Row;
|
import org.apache.spark.sql.Row;
|
||||||
|
@ -33,8 +30,6 @@ import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||||
import eu.dnetlib.dhp.schema.oaf.Relation;
|
import eu.dnetlib.dhp.schema.oaf.Relation;
|
||||||
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
|
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
|
||||||
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
|
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
|
||||||
import eu.dnetlib.pace.util.MapDocumentUtil;
|
|
||||||
import scala.Tuple2;
|
|
||||||
|
|
||||||
@ExtendWith(MockitoExtension.class)
|
@ExtendWith(MockitoExtension.class)
|
||||||
@TestMethodOrder(MethodOrderer.OrderAnnotation.class)
|
@TestMethodOrder(MethodOrderer.OrderAnnotation.class)
|
||||||
|
@ -44,11 +39,11 @@ public class SparkOpenorgsProvisionTest implements Serializable {
|
||||||
ISLookUpService isLookUpService;
|
ISLookUpService isLookUpService;
|
||||||
|
|
||||||
private static SparkSession spark;
|
private static SparkSession spark;
|
||||||
private static JavaSparkContext jsc;
|
|
||||||
|
|
||||||
private static String testGraphBasePath;
|
private static String testGraphBasePath;
|
||||||
private static String testOutputBasePath;
|
private static String testOutputBasePath;
|
||||||
private static String testDedupGraphBasePath;
|
private static String testDedupGraphBasePath;
|
||||||
|
private static String testConsistencyGraphBasePath;
|
||||||
private static final String testActionSetId = "test-orchestrator";
|
private static final String testActionSetId = "test-orchestrator";
|
||||||
|
|
||||||
@BeforeAll
|
@BeforeAll
|
||||||
|
@ -64,6 +59,9 @@ public class SparkOpenorgsProvisionTest implements Serializable {
|
||||||
testDedupGraphBasePath = createTempDirectory(SparkOpenorgsProvisionTest.class.getSimpleName() + "-")
|
testDedupGraphBasePath = createTempDirectory(SparkOpenorgsProvisionTest.class.getSimpleName() + "-")
|
||||||
.toAbsolutePath()
|
.toAbsolutePath()
|
||||||
.toString();
|
.toString();
|
||||||
|
testConsistencyGraphBasePath = createTempDirectory(SparkOpenorgsProvisionTest.class.getSimpleName() + "-")
|
||||||
|
.toAbsolutePath()
|
||||||
|
.toString();
|
||||||
|
|
||||||
FileUtils.deleteDirectory(new File(testOutputBasePath));
|
FileUtils.deleteDirectory(new File(testOutputBasePath));
|
||||||
FileUtils.deleteDirectory(new File(testDedupGraphBasePath));
|
FileUtils.deleteDirectory(new File(testDedupGraphBasePath));
|
||||||
|
@ -76,8 +74,13 @@ public class SparkOpenorgsProvisionTest implements Serializable {
|
||||||
.master("local[*]")
|
.master("local[*]")
|
||||||
.config(conf)
|
.config(conf)
|
||||||
.getOrCreate();
|
.getOrCreate();
|
||||||
|
}
|
||||||
|
|
||||||
jsc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
@AfterAll
|
||||||
|
public static void finalCleanUp() throws IOException {
|
||||||
|
FileUtils.deleteDirectory(new File(testOutputBasePath));
|
||||||
|
FileUtils.deleteDirectory(new File(testDedupGraphBasePath));
|
||||||
|
FileUtils.deleteDirectory(new File(testConsistencyGraphBasePath));
|
||||||
}
|
}
|
||||||
|
|
||||||
@BeforeEach
|
@BeforeEach
|
||||||
|
@ -186,26 +189,21 @@ public class SparkOpenorgsProvisionTest implements Serializable {
|
||||||
|
|
||||||
new SparkUpdateEntity(parser, spark).run(isLookUpService);
|
new SparkUpdateEntity(parser, spark).run(isLookUpService);
|
||||||
|
|
||||||
long organizations = jsc.textFile(testDedupGraphBasePath + "/organization").count();
|
Dataset<Row> organizations = spark.read().json(testDedupGraphBasePath + "/organization");
|
||||||
|
|
||||||
long mergedOrgs = spark
|
Dataset<Row> mergedOrgs = spark
|
||||||
.read()
|
.read()
|
||||||
.load(testOutputBasePath + "/" + testActionSetId + "/organization_mergerel")
|
.load(testOutputBasePath + "/" + testActionSetId + "/organization_mergerel")
|
||||||
.as(Encoders.bean(Relation.class))
|
|
||||||
.where("relClass=='merges'")
|
.where("relClass=='merges'")
|
||||||
.javaRDD()
|
.select("target")
|
||||||
.map(Relation::getTarget)
|
.distinct();
|
||||||
.distinct()
|
|
||||||
.count();
|
|
||||||
|
|
||||||
assertEquals(80, organizations);
|
assertEquals(80, organizations.count());
|
||||||
|
|
||||||
long deletedOrgs = jsc
|
Dataset<Row> deletedOrgs = organizations
|
||||||
.textFile(testDedupGraphBasePath + "/organization")
|
.filter("dataInfo.deletedbyinference = TRUE");
|
||||||
.filter(this::isDeletedByInference)
|
|
||||||
.count();
|
|
||||||
|
|
||||||
assertEquals(mergedOrgs, deletedOrgs);
|
assertEquals(mergedOrgs.count(), deletedOrgs.count());
|
||||||
}
|
}
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
|
@ -226,10 +224,9 @@ public class SparkOpenorgsProvisionTest implements Serializable {
|
||||||
|
|
||||||
new SparkCopyRelationsNoOpenorgs(parser, spark).run(isLookUpService);
|
new SparkCopyRelationsNoOpenorgs(parser, spark).run(isLookUpService);
|
||||||
|
|
||||||
final JavaRDD<String> rels = jsc.textFile(testDedupGraphBasePath + "/relation");
|
final Dataset<Row> outputRels = spark.read().text(testDedupGraphBasePath + "/relation");
|
||||||
|
|
||||||
assertEquals(2382, rels.count());
|
|
||||||
|
|
||||||
|
assertEquals(2382, outputRels.count());
|
||||||
}
|
}
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
|
@ -244,51 +241,41 @@ public class SparkOpenorgsProvisionTest implements Serializable {
|
||||||
parser
|
parser
|
||||||
.parseArgument(
|
.parseArgument(
|
||||||
new String[] {
|
new String[] {
|
||||||
"-i", testGraphBasePath, "-w", testOutputBasePath, "-o", testDedupGraphBasePath
|
"-i", testDedupGraphBasePath, "-w", testOutputBasePath, "-o", testConsistencyGraphBasePath
|
||||||
});
|
});
|
||||||
|
|
||||||
new SparkPropagateRelation(parser, spark).run(isLookUpService);
|
new SparkPropagateRelation(parser, spark).run(isLookUpService);
|
||||||
|
|
||||||
long relations = jsc.textFile(testDedupGraphBasePath + "/relation").count();
|
|
||||||
|
|
||||||
assertEquals(4896, relations);
|
|
||||||
|
|
||||||
// check deletedbyinference
|
|
||||||
final Dataset<Relation> mergeRels = spark
|
final Dataset<Relation> mergeRels = spark
|
||||||
.read()
|
.read()
|
||||||
.load(DedupUtility.createMergeRelPath(testOutputBasePath, "*", "*"))
|
.load(DedupUtility.createMergeRelPath(testOutputBasePath, "*", "*"))
|
||||||
.as(Encoders.bean(Relation.class));
|
.as(Encoders.bean(Relation.class));
|
||||||
final JavaPairRDD<String, String> mergedIds = mergeRels
|
|
||||||
|
Dataset<Row> inputRels = spark
|
||||||
|
.read()
|
||||||
|
.json(testDedupGraphBasePath + "/relation");
|
||||||
|
|
||||||
|
Dataset<Row> outputRels = spark
|
||||||
|
.read()
|
||||||
|
.json(testConsistencyGraphBasePath + "/relation");
|
||||||
|
|
||||||
|
final Dataset<Row> mergedIds = mergeRels
|
||||||
.where("relClass == 'merges'")
|
.where("relClass == 'merges'")
|
||||||
.select(mergeRels.col("target"))
|
.select(col("target").as("id"))
|
||||||
.distinct()
|
.distinct();
|
||||||
.toJavaRDD()
|
|
||||||
.mapToPair(
|
|
||||||
(PairFunction<Row, String, String>) r -> new Tuple2<String, String>(r.getString(0), "d"));
|
|
||||||
|
|
||||||
JavaRDD<String> toCheck = jsc
|
Dataset<Row> toUpdateRels = inputRels
|
||||||
.textFile(testDedupGraphBasePath + "/relation")
|
.as("rel")
|
||||||
.mapToPair(json -> new Tuple2<>(MapDocumentUtil.getJPathString("$.source", json), json))
|
.join(mergedIds.as("s"), col("rel.source").equalTo(col("s.id")), "left_outer")
|
||||||
.join(mergedIds)
|
.join(mergedIds.as("t"), col("rel.target").equalTo(col("t.id")), "left_outer")
|
||||||
.map(t -> t._2()._1())
|
.filter("s.id IS NOT NULL OR t.id IS NOT NULL")
|
||||||
.mapToPair(json -> new Tuple2<>(MapDocumentUtil.getJPathString("$.target", json), json))
|
.distinct();
|
||||||
.join(mergedIds)
|
|
||||||
.map(t -> t._2()._1());
|
|
||||||
|
|
||||||
long deletedbyinference = toCheck.filter(this::isDeletedByInference).count();
|
Dataset<Row> updatedRels = inputRels
|
||||||
long updated = toCheck.count();
|
.select("source", "target", "relClass")
|
||||||
|
.except(outputRels.select("source", "target", "relClass"));
|
||||||
|
|
||||||
assertEquals(updated, deletedbyinference);
|
assertEquals(toUpdateRels.count(), updatedRels.count());
|
||||||
|
assertEquals(140, outputRels.count());
|
||||||
}
|
}
|
||||||
|
|
||||||
@AfterAll
|
|
||||||
public static void finalCleanUp() throws IOException {
|
|
||||||
FileUtils.deleteDirectory(new File(testOutputBasePath));
|
|
||||||
FileUtils.deleteDirectory(new File(testDedupGraphBasePath));
|
|
||||||
}
|
|
||||||
|
|
||||||
public boolean isDeletedByInference(String s) {
|
|
||||||
return s.contains("\"deletedbyinference\":true");
|
|
||||||
}
|
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
|
@ -0,0 +1,940 @@
|
||||||
|
[
|
||||||
|
{
|
||||||
|
"id": "100007630",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100007630",
|
||||||
|
"name": "College of Engineering and Informatics, National University of Ireland, Galway",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100007731",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100007731",
|
||||||
|
"name": "Endo International",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100008099",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100008099",
|
||||||
|
"name": "Food Safety Authority of Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100008124",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100008124",
|
||||||
|
"name": "Department of Jobs, Enterprise and Innovation",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100009098",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100009098",
|
||||||
|
"name": "Department of Foreign Affairs and Trade, Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100009099",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100009099",
|
||||||
|
"name": "Irish Aid",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100009770",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100009770",
|
||||||
|
"name": "National University of Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100009985",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100009985",
|
||||||
|
"name": "Parkinson's Association of Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100010399",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100010399",
|
||||||
|
"name": "European Society of Cataract and Refractive Surgeons",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100010414",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100010414",
|
||||||
|
"name": "Health Research Board",
|
||||||
|
"synonym": [
|
||||||
|
"501100001590"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100010546",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100010546",
|
||||||
|
"name": "Deparment of Children and Youth Affairs, Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100010993",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100010993",
|
||||||
|
"name": "Irish Nephrology Society",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100011062",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100011062",
|
||||||
|
"name": "Asian Spinal Cord Network",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100011096",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100011096",
|
||||||
|
"name": "Jazz Pharmaceuticals",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100011396",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100011396",
|
||||||
|
"name": "Irish College of General Practitioners",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100012734",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100012734",
|
||||||
|
"name": "Department for Culture, Heritage and the Gaeltacht, Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100012754",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100012754",
|
||||||
|
"name": "Horizon Pharma",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100012891",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100012891",
|
||||||
|
"name": "Medical Research Charities Group",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100012919",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100012919",
|
||||||
|
"name": "Epilepsy Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100012920",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100012920",
|
||||||
|
"name": "GLEN",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100012921",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100012921",
|
||||||
|
"name": "Royal College of Surgeons in Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100013029",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100013029",
|
||||||
|
"name": "Iris O'Brien Foundation",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100013206",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100013206",
|
||||||
|
"name": "Food Institutional Research Measure",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100013381",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100013381",
|
||||||
|
"name": "Irish Phytochemical Food Network",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100013433",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100013433",
|
||||||
|
"name": "Transport Infrastructure Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100013461",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100013461",
|
||||||
|
"name": "Arts and Disability Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100013548",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100013548",
|
||||||
|
"name": "Filmbase",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100013917",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100013917",
|
||||||
|
"name": "Society for Musicology in Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100014251",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100014251",
|
||||||
|
"name": "Humanities in the European Research Area",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100014364",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100014364",
|
||||||
|
"name": "National Children's Research Centre",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100014384",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100014384",
|
||||||
|
"name": "Amarin Corporation",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100014902",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100014902",
|
||||||
|
"name": "Irish Association for Cancer Research",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100015023",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100015023",
|
||||||
|
"name": "Ireland Funds",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100015037",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100015037",
|
||||||
|
"name": "Simon Cumbers Media Fund",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100015319",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100015319",
|
||||||
|
"name": "Sport Ireland Institute",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100015320",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100015320",
|
||||||
|
"name": "Paralympics Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100015442",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100015442",
|
||||||
|
"name": "Global Brain Health Institute",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100015776",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100015776",
|
||||||
|
"name": "Health and Social Care Board",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100015992",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100015992",
|
||||||
|
"name": "St. Luke's Institute of Cancer Research",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100017897",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100017897",
|
||||||
|
"name": "Friedreich\u2019s Ataxia Research Alliance Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100018064",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100018064",
|
||||||
|
"name": "Department of Tourism, Culture, Arts, Gaeltacht, Sport and Media",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100018172",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100018172",
|
||||||
|
"name": "Department of the Environment, Climate and Communications",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100018175",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100018175",
|
||||||
|
"name": "Dairy Processing Technology Centre",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100018270",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100018270",
|
||||||
|
"name": "Health Service Executive",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100018529",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100018529",
|
||||||
|
"name": "Alkermes",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100018542",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100018542",
|
||||||
|
"name": "Irish Endocrine Society",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100018754",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100018754",
|
||||||
|
"name": "An Roinn Sl\u00e1inte",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100018998",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100018998",
|
||||||
|
"name": "Irish Research eLibrary",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100019428",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100019428",
|
||||||
|
"name": "Nabriva Therapeutics",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100019637",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100019637",
|
||||||
|
"name": "Horizon Therapeutics",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100020174",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100020174",
|
||||||
|
"name": "Health Research Charities Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100020202",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100020202",
|
||||||
|
"name": "UCD Foundation",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100020233",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100020233",
|
||||||
|
"name": "Ireland Canada University Foundation",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100022943",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100022943",
|
||||||
|
"name": "National Cancer Registry Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100001581",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100001581",
|
||||||
|
"name": "Arts Council of Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100001582",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100001582",
|
||||||
|
"name": "Centre for Ageing Research and Development in Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100001583",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100001583",
|
||||||
|
"name": "Cystinosis Foundation Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100001584",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100001584",
|
||||||
|
"name": "Department of Agriculture, Food and the Marine, Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100001586",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100001586",
|
||||||
|
"name": "Department of Education and Skills, Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100001587",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100001587",
|
||||||
|
"name": "Economic and Social Research Institute",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100001588",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100001588",
|
||||||
|
"name": "Enterprise Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100001589",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100001589",
|
||||||
|
"name": "Environmental Protection Agency",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100001591",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100001591",
|
||||||
|
"name": "Heritage Council",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100001592",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100001592",
|
||||||
|
"name": "Higher Education Authority",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100001593",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100001593",
|
||||||
|
"name": "Irish Cancer Society",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100001594",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100001594",
|
||||||
|
"name": "Irish Heart Foundation",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100001595",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100001595",
|
||||||
|
"name": "Irish Hospice Foundation",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100001596",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100001596",
|
||||||
|
"name": "Irish Research Council for Science, Engineering and Technology",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100001597",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100001597",
|
||||||
|
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{
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{
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||||||
|
"name": "Institute of Technology, Tralee",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100023273",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100023273",
|
||||||
|
"name": "HRB Clinical Research Facility Galway",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100023378",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100023378",
|
||||||
|
"name": "Lauritzson Foundation",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100023551",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100023551",
|
||||||
|
"name": "Cystic Fibrosis Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100023970",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100023970",
|
||||||
|
"name": "Tyndall National Institute",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100024094",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100024094",
|
||||||
|
"name": "Raidi\u00f3 Teilif\u00eds \u00c9ireann",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100024242",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100024242",
|
||||||
|
"name": "Synthesis and Solid State Pharmaceutical Centre",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100024313",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100024313",
|
||||||
|
"name": "Irish Rugby Football Union",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100007490",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100007490",
|
||||||
|
"name": "Bausch and Lomb Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100007819",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100007819",
|
||||||
|
"name": "Allergan",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100010547",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100010547",
|
||||||
|
"name": "Irish Youth Justice Service",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100012733",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100012733",
|
||||||
|
"name": "National Parks and Wildlife Service",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100015278",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100015278",
|
||||||
|
"name": "Pfizer Healthcare Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100017144",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100017144",
|
||||||
|
"name": "Shell E and P Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "100022895",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/100022895",
|
||||||
|
"name": "Health Research Institute, University of Limerick",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100001599",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100001599",
|
||||||
|
"name": "National Council for Forest Research and Development",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100006554",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100006554",
|
||||||
|
"name": "IDA Ireland",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100011626",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100011626",
|
||||||
|
"name": "Energy Policy Research Centre, Economic and Social Research Institute",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100014531",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100014531",
|
||||||
|
"name": "Physical Education and Sport Sciences Department, University of Limerick",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100014745",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100014745",
|
||||||
|
"name": "APC Microbiome Institute",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100014826",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100014826",
|
||||||
|
"name": "ADAPT - Centre for Digital Content Technology",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100020570",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100020570",
|
||||||
|
"name": "College of Medicine, Nursing and Health Sciences, National University of Ireland, Galway",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100020871",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100020871",
|
||||||
|
"name": "Bernal Institute, University of Limerick",
|
||||||
|
"synonym": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "501100023852",
|
||||||
|
"uri": "http://dx.doi.org/10.13039/501100023852",
|
||||||
|
"name": "Moore Institute for Research in the Humanities and Social Studies, University of Galway",
|
||||||
|
"synonym": []
|
||||||
|
}
|
||||||
|
]
|
|
@ -16,6 +16,7 @@ import org.slf4j.{Logger, LoggerFactory}
|
||||||
import java.util
|
import java.util
|
||||||
import scala.collection.JavaConverters._
|
import scala.collection.JavaConverters._
|
||||||
import scala.collection.mutable
|
import scala.collection.mutable
|
||||||
|
import scala.io.Source
|
||||||
import scala.util.matching.Regex
|
import scala.util.matching.Regex
|
||||||
|
|
||||||
case class CrossrefDT(doi: String, json: String, timestamp: Long) {}
|
case class CrossrefDT(doi: String, json: String, timestamp: Long) {}
|
||||||
|
@ -30,11 +31,22 @@ case class mappingAuthor(
|
||||||
affiliation: Option[mappingAffiliation]
|
affiliation: Option[mappingAffiliation]
|
||||||
) {}
|
) {}
|
||||||
|
|
||||||
|
case class funderInfo(id: String, uri: String, name: String, synonym: List[String]) {}
|
||||||
|
|
||||||
case class mappingFunder(name: String, DOI: Option[String], award: Option[List[String]]) {}
|
case class mappingFunder(name: String, DOI: Option[String], award: Option[List[String]]) {}
|
||||||
|
|
||||||
case object Crossref2Oaf {
|
case object Crossref2Oaf {
|
||||||
val logger: Logger = LoggerFactory.getLogger(Crossref2Oaf.getClass)
|
val logger: Logger = LoggerFactory.getLogger(Crossref2Oaf.getClass)
|
||||||
|
|
||||||
|
val irishFunder: List[funderInfo] = {
|
||||||
|
val s = Source
|
||||||
|
.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/crossref/irish_funder.json"))
|
||||||
|
.mkString
|
||||||
|
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
|
||||||
|
lazy val json: org.json4s.JValue = parse(s)
|
||||||
|
json.extract[List[funderInfo]]
|
||||||
|
}
|
||||||
|
|
||||||
val mappingCrossrefType = Map(
|
val mappingCrossrefType = Map(
|
||||||
"book-section" -> "publication",
|
"book-section" -> "publication",
|
||||||
"book" -> "publication",
|
"book" -> "publication",
|
||||||
|
@ -88,6 +100,13 @@ case object Crossref2Oaf {
|
||||||
"report" -> "0017 Report"
|
"report" -> "0017 Report"
|
||||||
)
|
)
|
||||||
|
|
||||||
|
def getIrishId(doi: String): Option[String] = {
|
||||||
|
val id = doi.split("/").last
|
||||||
|
irishFunder
|
||||||
|
.find(f => id.equalsIgnoreCase(f.id) || (f.synonym.nonEmpty && f.synonym.exists(s => s.equalsIgnoreCase(id))))
|
||||||
|
.map(f => f.id)
|
||||||
|
}
|
||||||
|
|
||||||
def mappingResult(result: Result, json: JValue, cobjCategory: String): Result = {
|
def mappingResult(result: Result, json: JValue, cobjCategory: String): Result = {
|
||||||
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
|
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
|
||||||
|
|
||||||
|
@ -467,6 +486,14 @@ case object Crossref2Oaf {
|
||||||
if (funders != null)
|
if (funders != null)
|
||||||
funders.foreach(funder => {
|
funders.foreach(funder => {
|
||||||
if (funder.DOI.isDefined && funder.DOI.get.nonEmpty) {
|
if (funder.DOI.isDefined && funder.DOI.get.nonEmpty) {
|
||||||
|
|
||||||
|
if (getIrishId(funder.DOI.get).isDefined) {
|
||||||
|
val nsPrefix = getIrishId(funder.DOI.get).get.padTo(12, '_')
|
||||||
|
val targetId = getProjectId(nsPrefix, "1e5e62235d094afd01cd56e65112fc63")
|
||||||
|
queue += generateRelation(sourceId, targetId, ModelConstants.IS_PRODUCED_BY)
|
||||||
|
queue += generateRelation(targetId, sourceId, ModelConstants.PRODUCES)
|
||||||
|
}
|
||||||
|
|
||||||
funder.DOI.get match {
|
funder.DOI.get match {
|
||||||
case "10.13039/100010663" | "10.13039/100010661" | "10.13039/501100007601" | "10.13039/501100000780" |
|
case "10.13039/100010663" | "10.13039/100010661" | "10.13039/501100007601" | "10.13039/501100000780" |
|
||||||
"10.13039/100010665" =>
|
"10.13039/100010665" =>
|
||||||
|
|
|
@ -25,6 +25,7 @@ import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||||
import eu.dnetlib.dhp.bulktag.community.*;
|
import eu.dnetlib.dhp.bulktag.community.*;
|
||||||
import eu.dnetlib.dhp.schema.oaf.Datasource;
|
import eu.dnetlib.dhp.schema.oaf.Datasource;
|
||||||
import eu.dnetlib.dhp.schema.oaf.Result;
|
import eu.dnetlib.dhp.schema.oaf.Result;
|
||||||
|
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
|
||||||
|
|
||||||
public class SparkBulkTagJob {
|
public class SparkBulkTagJob {
|
||||||
|
|
||||||
|
@ -170,10 +171,12 @@ public class SparkBulkTagJob {
|
||||||
// TODO remove this hack as soon as the values fixed by this method will be provided as NON null
|
// TODO remove this hack as soon as the values fixed by this method will be provided as NON null
|
||||||
private static <R extends Result> MapFunction<R, R> patchResult() {
|
private static <R extends Result> MapFunction<R, R> patchResult() {
|
||||||
return r -> {
|
return r -> {
|
||||||
if (r.getDataInfo().getDeletedbyinference() == null) {
|
if (Objects.isNull(r.getDataInfo())) {
|
||||||
|
r.setDataInfo(OafMapperUtils.dataInfo(false, "", false, false, OafMapperUtils.unknown("", ""), ""));
|
||||||
|
} else if (r.getDataInfo().getDeletedbyinference() == null) {
|
||||||
r.getDataInfo().setDeletedbyinference(false);
|
r.getDataInfo().setDeletedbyinference(false);
|
||||||
}
|
}
|
||||||
if (r.getContext() == null) {
|
if (Objects.isNull(r.getContext())) {
|
||||||
r.setContext(new ArrayList<>());
|
r.setContext(new ArrayList<>());
|
||||||
}
|
}
|
||||||
return r;
|
return r;
|
||||||
|
|
|
@ -5,10 +5,7 @@ import static eu.dnetlib.dhp.PropagationConstant.*;
|
||||||
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
|
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
|
||||||
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
|
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
|
||||||
|
|
||||||
import java.util.ArrayList;
|
import java.util.*;
|
||||||
import java.util.Arrays;
|
|
||||||
import java.util.HashSet;
|
|
||||||
import java.util.Set;
|
|
||||||
import java.util.stream.Collectors;
|
import java.util.stream.Collectors;
|
||||||
|
|
||||||
import org.apache.commons.io.IOUtils;
|
import org.apache.commons.io.IOUtils;
|
||||||
|
@ -88,14 +85,33 @@ public class PrepareResultCountrySet {
|
||||||
// selects all the results non deleted by inference and non invisible
|
// selects all the results non deleted by inference and non invisible
|
||||||
Dataset<R> result = readPath(spark, inputPath, resultClazz)
|
Dataset<R> result = readPath(spark, inputPath, resultClazz)
|
||||||
.filter(
|
.filter(
|
||||||
(FilterFunction<R>) r -> !r.getDataInfo().getDeletedbyinference() &&
|
(FilterFunction<R>) r -> Optional
|
||||||
!r.getDataInfo().getInvisible());
|
.ofNullable(r.getDataInfo())
|
||||||
|
.map(dataInfo -> !dataInfo.getDeletedbyinference() && !dataInfo.getInvisible())
|
||||||
|
.orElse(true));
|
||||||
|
|
||||||
// of the results collects the distinct keys for collected from (at the level of the result) and hosted by
|
// of the results collects the distinct keys for collected from (at the level of the result) and hosted by
|
||||||
// and produces pairs resultId, key for each distinct key associated to the result
|
// and produces pairs resultId, key for each distinct key associated to the result
|
||||||
result.flatMap((FlatMapFunction<R, EntityEntityRel>) r -> {
|
result.flatMap((FlatMapFunction<R, EntityEntityRel>) r -> {
|
||||||
Set<String> cfhb = r.getCollectedfrom().stream().map(cf -> cf.getKey()).collect(Collectors.toSet());
|
Set<String> cfhb = Optional
|
||||||
cfhb.addAll(r.getInstance().stream().map(i -> i.getHostedby().getKey()).collect(Collectors.toSet()));
|
.ofNullable(r.getCollectedfrom())
|
||||||
|
.map(cf -> cf.stream().map(KeyValue::getKey).collect(Collectors.toSet()))
|
||||||
|
.orElse(new HashSet<>());
|
||||||
|
cfhb
|
||||||
|
.addAll(
|
||||||
|
Optional
|
||||||
|
.ofNullable(r.getInstance())
|
||||||
|
.map(
|
||||||
|
i -> i
|
||||||
|
.stream()
|
||||||
|
.map(
|
||||||
|
ii -> Optional
|
||||||
|
.ofNullable(ii.getHostedby())
|
||||||
|
.map(KeyValue::getKey)
|
||||||
|
.orElse(null))
|
||||||
|
.filter(Objects::nonNull)
|
||||||
|
.collect(Collectors.toSet()))
|
||||||
|
.orElse(new HashSet<>()));
|
||||||
return cfhb
|
return cfhb
|
||||||
.stream()
|
.stream()
|
||||||
.map(value -> EntityEntityRel.newInstance(r.getId(), value))
|
.map(value -> EntityEntityRel.newInstance(r.getId(), value))
|
||||||
|
|
|
@ -96,30 +96,7 @@
|
||||||
--conf spark.sql.shuffle.partitions=15000
|
--conf spark.sql.shuffle.partitions=15000
|
||||||
</spark-opts>
|
</spark-opts>
|
||||||
<arg>--graphInputPath</arg><arg>${graphBasePath}</arg>
|
<arg>--graphInputPath</arg><arg>${graphBasePath}</arg>
|
||||||
<arg>--outputPath</arg><arg>${workingPath}/grouped_entities</arg>
|
<arg>--checkpointPath</arg><arg>${workingPath}/grouped_entities</arg>
|
||||||
</spark>
|
|
||||||
<ok to="dispatch_entities"/>
|
|
||||||
<error to="Kill"/>
|
|
||||||
</action>
|
|
||||||
|
|
||||||
<action name="dispatch_entities">
|
|
||||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
|
||||||
<master>yarn</master>
|
|
||||||
<mode>cluster</mode>
|
|
||||||
<name>Dispatch grouped entities</name>
|
|
||||||
<class>eu.dnetlib.dhp.oa.merge.DispatchEntitiesSparkJob</class>
|
|
||||||
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
|
|
||||||
<spark-opts>
|
|
||||||
--executor-cores=${sparkExecutorCores}
|
|
||||||
--executor-memory=${sparkExecutorMemory}
|
|
||||||
--driver-memory=${sparkDriverMemory}
|
|
||||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
|
||||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
|
||||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
|
||||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
|
||||||
--conf spark.sql.shuffle.partitions=7680
|
|
||||||
</spark-opts>
|
|
||||||
<arg>--inputPath</arg><arg>${workingPath}/grouped_entities</arg>
|
|
||||||
<arg>--outputPath</arg><arg>${graphOutputPath}</arg>
|
<arg>--outputPath</arg><arg>${graphOutputPath}</arg>
|
||||||
<arg>--filterInvisible</arg><arg>${filterInvisible}</arg>
|
<arg>--filterInvisible</arg><arg>${filterInvisible}</arg>
|
||||||
</spark>
|
</spark>
|
||||||
|
|
|
@ -1,4 +1,12 @@
|
||||||
<configuration>
|
<configuration>
|
||||||
|
<property>
|
||||||
|
<name>jobTracker</name>
|
||||||
|
<value>yarnRM</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>nameNode</name>
|
||||||
|
<value>hdfs://nameservice1</value>
|
||||||
|
</property>
|
||||||
<property>
|
<property>
|
||||||
<name>oozie.use.system.libpath</name>
|
<name>oozie.use.system.libpath</name>
|
||||||
<value>true</value>
|
<value>true</value>
|
||||||
|
@ -7,4 +15,28 @@
|
||||||
<name>oozie.action.sharelib.for.spark</name>
|
<name>oozie.action.sharelib.for.spark</name>
|
||||||
<value>spark2</value>
|
<value>spark2</value>
|
||||||
</property>
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>hive_metastore_uris</name>
|
||||||
|
<value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>spark2YarnHistoryServerAddress</name>
|
||||||
|
<value>http://iis-cdh5-test-gw.ocean.icm.edu.pl:18089</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>spark2ExtraListeners</name>
|
||||||
|
<value>com.cloudera.spark.lineage.NavigatorAppListener</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>spark2SqlQueryExecutionListeners</name>
|
||||||
|
<value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>sparkExecutorNumber</name>
|
||||||
|
<value>4</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>spark2EventLogDir</name>
|
||||||
|
<value>/user/spark/spark2ApplicationHistory</value>
|
||||||
|
</property>
|
||||||
</configuration>
|
</configuration>
|
|
@ -10,7 +10,6 @@ import java.nio.file.Path;
|
||||||
import java.nio.file.Paths;
|
import java.nio.file.Paths;
|
||||||
|
|
||||||
import org.apache.commons.io.FileUtils;
|
import org.apache.commons.io.FileUtils;
|
||||||
import org.apache.commons.lang3.StringUtils;
|
|
||||||
import org.apache.spark.SparkConf;
|
import org.apache.spark.SparkConf;
|
||||||
import org.apache.spark.api.java.function.FilterFunction;
|
import org.apache.spark.api.java.function.FilterFunction;
|
||||||
import org.apache.spark.api.java.function.MapFunction;
|
import org.apache.spark.api.java.function.MapFunction;
|
||||||
|
@ -23,9 +22,9 @@ import com.fasterxml.jackson.databind.DeserializationFeature;
|
||||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||||
|
|
||||||
import eu.dnetlib.dhp.common.HdfsSupport;
|
import eu.dnetlib.dhp.common.HdfsSupport;
|
||||||
import eu.dnetlib.dhp.oa.merge.DispatchEntitiesSparkJob;
|
|
||||||
import eu.dnetlib.dhp.oa.merge.GroupEntitiesSparkJob;
|
import eu.dnetlib.dhp.oa.merge.GroupEntitiesSparkJob;
|
||||||
import eu.dnetlib.dhp.schema.common.ModelSupport;
|
import eu.dnetlib.dhp.schema.common.ModelSupport;
|
||||||
|
import eu.dnetlib.dhp.schema.oaf.OafEntity;
|
||||||
import eu.dnetlib.dhp.schema.oaf.Result;
|
import eu.dnetlib.dhp.schema.oaf.Result;
|
||||||
import eu.dnetlib.dhp.utils.DHPUtils;
|
import eu.dnetlib.dhp.utils.DHPUtils;
|
||||||
|
|
||||||
|
@ -40,8 +39,9 @@ public class GroupEntitiesSparkJobTest {
|
||||||
private static Path workingDir;
|
private static Path workingDir;
|
||||||
private Path dataInputPath;
|
private Path dataInputPath;
|
||||||
|
|
||||||
private Path groupEntityPath;
|
private Path checkpointPath;
|
||||||
private Path dispatchEntityPath;
|
|
||||||
|
private Path outputPath;
|
||||||
|
|
||||||
@BeforeAll
|
@BeforeAll
|
||||||
public static void beforeAll() throws IOException {
|
public static void beforeAll() throws IOException {
|
||||||
|
@ -58,8 +58,8 @@ public class GroupEntitiesSparkJobTest {
|
||||||
@BeforeEach
|
@BeforeEach
|
||||||
public void beforeEach() throws IOException, URISyntaxException {
|
public void beforeEach() throws IOException, URISyntaxException {
|
||||||
dataInputPath = Paths.get(ClassLoader.getSystemResource("eu/dnetlib/dhp/oa/graph/group").toURI());
|
dataInputPath = Paths.get(ClassLoader.getSystemResource("eu/dnetlib/dhp/oa/graph/group").toURI());
|
||||||
groupEntityPath = workingDir.resolve("grouped_entity");
|
checkpointPath = workingDir.resolve("grouped_entity");
|
||||||
dispatchEntityPath = workingDir.resolve("dispatched_entity");
|
outputPath = workingDir.resolve("dispatched_entity");
|
||||||
}
|
}
|
||||||
|
|
||||||
@AfterAll
|
@AfterAll
|
||||||
|
@ -76,39 +76,28 @@ public class GroupEntitiesSparkJobTest {
|
||||||
Boolean.FALSE.toString(),
|
Boolean.FALSE.toString(),
|
||||||
"-graphInputPath",
|
"-graphInputPath",
|
||||||
dataInputPath.toString(),
|
dataInputPath.toString(),
|
||||||
|
"-checkpointPath",
|
||||||
|
checkpointPath.toString(),
|
||||||
"-outputPath",
|
"-outputPath",
|
||||||
groupEntityPath.toString()
|
outputPath.toString(),
|
||||||
|
"-filterInvisible",
|
||||||
|
Boolean.FALSE.toString()
|
||||||
});
|
});
|
||||||
|
|
||||||
Dataset<Result> output = spark
|
Dataset<OafEntity> checkpointTable = spark
|
||||||
.read()
|
.read()
|
||||||
.textFile(groupEntityPath.toString())
|
.load(checkpointPath.toString())
|
||||||
.map((MapFunction<String, String>) s -> StringUtils.substringAfter(s, "|"), Encoders.STRING())
|
.selectExpr("COALESCE(*)")
|
||||||
.map((MapFunction<String, Result>) s -> mapper.readValue(s, Result.class), Encoders.bean(Result.class));
|
.as(Encoders.kryo(OafEntity.class));
|
||||||
|
|
||||||
assertEquals(
|
assertEquals(
|
||||||
1,
|
1,
|
||||||
output
|
checkpointTable
|
||||||
.filter(
|
.filter(
|
||||||
(FilterFunction<Result>) r -> "50|doi_________::09821844208a5cd6300b2bfb13bca1b9"
|
(FilterFunction<OafEntity>) r -> "50|doi_________::09821844208a5cd6300b2bfb13bca1b9"
|
||||||
.equals(r.getId()) &&
|
.equals(r.getId()) &&
|
||||||
r.getCollectedfrom().stream().anyMatch(kv -> kv.getValue().equalsIgnoreCase("zenodo")))
|
r.getCollectedfrom().stream().anyMatch(kv -> kv.getValue().equalsIgnoreCase("zenodo")))
|
||||||
.count());
|
.count());
|
||||||
}
|
|
||||||
|
|
||||||
@Test
|
|
||||||
@Order(2)
|
|
||||||
void testDispatchEntities() throws Exception {
|
|
||||||
DispatchEntitiesSparkJob.main(new String[] {
|
|
||||||
"-isSparkSessionManaged",
|
|
||||||
Boolean.FALSE.toString(),
|
|
||||||
"-inputPath",
|
|
||||||
groupEntityPath.toString(),
|
|
||||||
"-outputPath",
|
|
||||||
dispatchEntityPath.resolve(".").toString(),
|
|
||||||
"-filterInvisible",
|
|
||||||
Boolean.TRUE.toString()
|
|
||||||
});
|
|
||||||
|
|
||||||
Dataset<Result> output = spark
|
Dataset<Result> output = spark
|
||||||
.read()
|
.read()
|
||||||
|
@ -116,7 +105,7 @@ public class GroupEntitiesSparkJobTest {
|
||||||
DHPUtils
|
DHPUtils
|
||||||
.toSeq(
|
.toSeq(
|
||||||
HdfsSupport
|
HdfsSupport
|
||||||
.listFiles(dispatchEntityPath.toString(), spark.sparkContext().hadoopConfiguration())))
|
.listFiles(outputPath.toString(), spark.sparkContext().hadoopConfiguration())))
|
||||||
.map((MapFunction<String, Result>) s -> mapper.readValue(s, Result.class), Encoders.bean(Result.class));
|
.map((MapFunction<String, Result>) s -> mapper.readValue(s, Result.class), Encoders.bean(Result.class));
|
||||||
|
|
||||||
assertEquals(3, output.count());
|
assertEquals(3, output.count());
|
||||||
|
|
|
@ -24,13 +24,13 @@ function copydb() {
|
||||||
# drop tables from db
|
# drop tables from db
|
||||||
for i in `impala-shell --user $HADOOP_USER_NAME -i impala-cluster-dn1.openaire.eu -d ${db} --delimited -q "show tables"`;
|
for i in `impala-shell --user $HADOOP_USER_NAME -i impala-cluster-dn1.openaire.eu -d ${db} --delimited -q "show tables"`;
|
||||||
do
|
do
|
||||||
`impala-shell -i impala-cluster-dn1.openaire.eu -d -d ${db} -q "drop table $i;"`;
|
`impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} -q "drop table $i;"`;
|
||||||
done
|
done
|
||||||
|
|
||||||
# drop views from db
|
# drop views from db
|
||||||
for i in `impala-shell --user $HADOOP_USER_NAME -i impala-cluster-dn1.openaire.eu -d ${db} --delimited -q "show tables"`;
|
for i in `impala-shell --user $HADOOP_USER_NAME -i impala-cluster-dn1.openaire.eu -d ${db} --delimited -q "show tables"`;
|
||||||
do
|
do
|
||||||
`impala-shell -i impala-cluster-dn1.openaire.eu -d -d ${db} -q "drop view $i;"`;
|
`impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} -q "drop view $i;"`;
|
||||||
done
|
done
|
||||||
|
|
||||||
# delete the database
|
# delete the database
|
||||||
|
@ -82,12 +82,12 @@ copydb $USAGE_STATS_DB
|
||||||
copydb $PROD_USAGE_STATS_DB
|
copydb $PROD_USAGE_STATS_DB
|
||||||
copydb $EXT_DB
|
copydb $EXT_DB
|
||||||
copydb $STATS_DB
|
copydb $STATS_DB
|
||||||
#copydb $MONITOR_DB
|
copydb $MONITOR_DB
|
||||||
copydb $OBSERVATORY_DB
|
copydb $OBSERVATORY_DB
|
||||||
|
|
||||||
copydb $MONITOR_DB'_funded'
|
copydb $MONITOR_DB'_funded'
|
||||||
copydb $MONITOR_DB'_institutions'
|
copydb $MONITOR_DB'_institutions'
|
||||||
copydb $MONITOR_DB'_RIs_tail'
|
copydb $MONITOR_DB'_ris_tail'
|
||||||
|
|
||||||
contexts="knowmad::other dh-ch::other enermaps::other gotriple::other neanias-atmospheric::other rural-digital-europe::other covid-19::other aurora::other neanias-space::other north-america-studies::other north-american-studies::other eutopia::other"
|
contexts="knowmad::other dh-ch::other enermaps::other gotriple::other neanias-atmospheric::other rural-digital-europe::other covid-19::other aurora::other neanias-space::other north-america-studies::other north-american-studies::other eutopia::other"
|
||||||
for i in ${contexts}
|
for i in ${contexts}
|
||||||
|
|
|
@ -13,7 +13,7 @@ function createShadowDB() {
|
||||||
# drop views from db
|
# drop views from db
|
||||||
for i in `impala-shell -i impala-cluster-dn1.openaire.eu -d ${SHADOW} --delimited -q "show tables"`;
|
for i in `impala-shell -i impala-cluster-dn1.openaire.eu -d ${SHADOW} --delimited -q "show tables"`;
|
||||||
do
|
do
|
||||||
`impala-shell -i impala-cluster-dn1.openaire.eu -d -d ${SHADOW} -q "drop view $i;"`;
|
`impala-shell -i impala-cluster-dn1.openaire.eu -d ${SHADOW} -q "drop view $i;"`;
|
||||||
done
|
done
|
||||||
|
|
||||||
impala-shell -i impala-cluster-dn1.openaire.eu -q "drop database ${SHADOW} CASCADE";
|
impala-shell -i impala-cluster-dn1.openaire.eu -q "drop database ${SHADOW} CASCADE";
|
||||||
|
@ -36,13 +36,13 @@ createShadowDB $MONITOR_DB $MONITOR_DB_SHADOW
|
||||||
createShadowDB $OBSERVATORY_DB $OBSERVATORY_DB_SHADOW
|
createShadowDB $OBSERVATORY_DB $OBSERVATORY_DB_SHADOW
|
||||||
createShadowDB USAGE_STATS_DB USAGE_STATS_DB_SHADOW
|
createShadowDB USAGE_STATS_DB USAGE_STATS_DB_SHADOW
|
||||||
|
|
||||||
createShadowDB $MONITOR_DB'_funded' $MONITOR_DB'_funded_shadow'
|
createShadowDB $MONITOR_DB'_funded' $MONITOR_DB_SHADOW'_shadow_funded'
|
||||||
createShadowDB $MONITOR_DB'_institutions' $MONITOR_DB'_institutions_shadow'
|
createShadowDB $MONITOR_DB'_institutions' $MONITOR_DB_SHADOW'_shadow_institutions'
|
||||||
createShadowDB $MONITOR_DB'_RIs_tail' $MONITOR_DB'_RIs_tail_shadow'
|
createShadowDB $MONITOR_DB'_ris_tail' $MONITOR_DB_SHADOW'_shadow_ris_tail'
|
||||||
|
|
||||||
contexts="knowmad::other dh-ch::other enermaps::other gotriple::other neanias-atmospheric::other rural-digital-europe::other covid-19::other aurora::other neanias-space::other north-america-studies::other north-american-studies::other eutopia::other"
|
contexts="knowmad::other dh-ch::other enermaps::other gotriple::other neanias-atmospheric::other rural-digital-europe::other covid-19::other aurora::other neanias-space::other north-america-studies::other north-american-studies::other eutopia::other"
|
||||||
for i in ${contexts}
|
for i in ${contexts}
|
||||||
do
|
do
|
||||||
tmp=`echo "$i" | sed 's/'-'/'_'/g' | sed 's/'::'/'_'/g'`
|
tmp=`echo "$i" | sed 's/'-'/'_'/g' | sed 's/'::'/'_'/g'`
|
||||||
createShadowDB ${MONITOR_DB}'_'${tmp} ${MONITOR_DB}'_'${tmp}'_shadow'
|
createShadowDB ${MONITOR_DB}'_'${tmp} ${MONITOR_DB_SHADOW}'_shadow_'${tmp}
|
||||||
done
|
done
|
22
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/monitor.sh
Normal file → Executable file
22
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/monitor.sh
Normal file → Executable file
|
@ -14,6 +14,7 @@ export SCRIPT_PATH2=$5
|
||||||
export SCRIPT_PATH3=$6
|
export SCRIPT_PATH3=$6
|
||||||
export SCRIPT_PATH4=$7
|
export SCRIPT_PATH4=$7
|
||||||
export SCRIPT_PATH5=$8
|
export SCRIPT_PATH5=$8
|
||||||
|
export SCRIPT_PATH6=$9
|
||||||
|
|
||||||
export HIVE_OPTS="-hiveconf mapred.job.queue.name=analytics -hiveconf hive.spark.client.connect.timeout=120000ms -hiveconf hive.spark.client.server.connect.timeout=300000ms -hiveconf spark.executor.memory=19166291558 -hiveconf spark.yarn.executor.memoryOverhead=3225 -hiveconf spark.driver.memory=11596411699 -hiveconf spark.yarn.driver.memoryOverhead=1228"
|
export HIVE_OPTS="-hiveconf mapred.job.queue.name=analytics -hiveconf hive.spark.client.connect.timeout=120000ms -hiveconf hive.spark.client.server.connect.timeout=300000ms -hiveconf spark.executor.memory=19166291558 -hiveconf spark.yarn.executor.memoryOverhead=3225 -hiveconf spark.driver.memory=11596411699 -hiveconf spark.yarn.driver.memoryOverhead=1228"
|
||||||
export HADOOP_USER_NAME="oozie"
|
export HADOOP_USER_NAME="oozie"
|
||||||
|
@ -33,12 +34,19 @@ hdfs dfs -copyToLocal $7
|
||||||
echo "Getting file from " $8
|
echo "Getting file from " $8
|
||||||
hdfs dfs -copyToLocal $8
|
hdfs dfs -copyToLocal $8
|
||||||
|
|
||||||
|
echo "Getting file from " $9
|
||||||
|
hdfs dfs -copyToLocal $9
|
||||||
|
|
||||||
|
|
||||||
echo "Creating monitor database"
|
echo "Creating monitor database"
|
||||||
|
cat step20-createMonitorDBAll.sql | sed "s/SOURCE/$1/g" | sed "s/TARGET/$2/g1" > foo
|
||||||
|
hive $HIVE_OPTS -f foo
|
||||||
|
|
||||||
cat step20-createMonitorDB_funded.sql | sed "s/SOURCE/$1/g" | sed "s/TARGET/$2_funded/g1" > foo
|
cat step20-createMonitorDB_funded.sql | sed "s/SOURCE/$1/g" | sed "s/TARGET/$2_funded/g1" > foo
|
||||||
hive $HIVE_OPTS -f foo
|
hive $HIVE_OPTS -f foo
|
||||||
cat step20-createMonitorDB.sql | sed "s/SOURCE/$1/g" | sed "s/TARGET/$2_funded/g1" > foo
|
cat step20-createMonitorDB.sql | sed "s/SOURCE/$1/g" | sed "s/TARGET/$2_funded/g1" > foo
|
||||||
hive $HIVE_OPTS -f foo
|
hive $HIVE_OPTS -f foo
|
||||||
#
|
|
||||||
cat step20-createMonitorDB_institutions.sql | sed "s/SOURCE/$1/g" | sed "s/TARGET/$2_institutions/g1" > foo
|
cat step20-createMonitorDB_institutions.sql | sed "s/SOURCE/$1/g" | sed "s/TARGET/$2_institutions/g1" > foo
|
||||||
hive $HIVE_OPTS -f foo
|
hive $HIVE_OPTS -f foo
|
||||||
cat step20-createMonitorDB.sql | sed "s/SOURCE/$1/g" | sed "s/TARGET/$2_institutions/g1" > foo
|
cat step20-createMonitorDB.sql | sed "s/SOURCE/$1/g" | sed "s/TARGET/$2_institutions/g1" > foo
|
||||||
|
@ -56,14 +64,20 @@ do
|
||||||
hive $HIVE_OPTS -f foo
|
hive $HIVE_OPTS -f foo
|
||||||
done
|
done
|
||||||
|
|
||||||
|
cat step20-createMonitorDB_RIs_tail.sql | sed "s/SOURCE/$1/g" | sed "s/TARGET/$2_ris_tail/g1" | sed "s/CONTEXTS/\"'knowmad::other','dh-ch::other', 'enermaps::other', 'gotriple::other', 'neanias-atmospheric::other', 'rural-digital-europe::other', 'covid-19::other', 'aurora::other', 'neanias-space::other', 'north-america-studies::other', 'north-american-studies::other', 'eutopia::other'\"/g" > foo
|
||||||
cat step20-createMonitorDB_RIs_tail.sql | sed "s/SOURCE/$1/g" | sed "s/TARGET/$2_RIs_tail/g1" | sed "s/CONTEXTS/\"'knowmad::other','dh-ch::other', 'enermaps::other', 'gotriple::other', 'neanias-atmospheric::other', 'rural-digital-europe::other', 'covid-19::other', 'aurora::other', 'neanias-space::other', 'north-america-studies::other', 'north-american-studies::other', 'eutopia::other'\"/g" > foo
|
|
||||||
hive $HIVE_OPTS -f foo
|
hive $HIVE_OPTS -f foo
|
||||||
cat step20-createMonitorDB.sql | sed "s/SOURCE/$1/g" | sed "s/TARGET/$2_RIs_tail/g1" > foo
|
cat step20-createMonitorDB.sql | sed "s/SOURCE/$1/g" | sed "s/TARGET/$2_ris_tail/g1" > foo
|
||||||
hive $HIVE_OPTS -f foo
|
hive $HIVE_OPTS -f foo
|
||||||
|
|
||||||
echo "Hive shell finished"
|
echo "Hive shell finished"
|
||||||
|
|
||||||
|
echo "Updating shadow monitor all database"
|
||||||
|
hive -e "drop database if exists ${SHADOW} cascade"
|
||||||
|
hive -e "create database if not exists ${SHADOW}"
|
||||||
|
hive $HIVE_OPTS --database ${2} -e "show tables" | grep -v WARN | sed "s/\(.*\)/create view ${SHADOW}.\1 as select * from ${2}.\1;/" > foo
|
||||||
|
hive -f foo
|
||||||
|
echo "Updated shadow monitor all database"
|
||||||
|
|
||||||
echo "Updating shadow monitor funded database"
|
echo "Updating shadow monitor funded database"
|
||||||
hive -e "drop database if exists ${SHADOW}_funded cascade"
|
hive -e "drop database if exists ${SHADOW}_funded cascade"
|
||||||
hive -e "create database if not exists ${SHADOW}_funded"
|
hive -e "create database if not exists ${SHADOW}_funded"
|
||||||
|
|
0
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step13.sql
Normal file → Executable file
0
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step13.sql
Normal file → Executable file
|
@ -37,8 +37,15 @@ select * from ${stats_db_name}.otherresearchproduct_refereed;
|
||||||
|
|
||||||
create table if not exists ${stats_db_name}.indi_impact_measures STORED AS PARQUET as
|
create table if not exists ${stats_db_name}.indi_impact_measures STORED AS PARQUET as
|
||||||
select substr(id, 4) as id, measures_ids.id impactmetric, cast(measures_ids.unit.value[0] as double) score,
|
select substr(id, 4) as id, measures_ids.id impactmetric, cast(measures_ids.unit.value[0] as double) score,
|
||||||
cast(measures_ids.unit.value[0] as decimal(6,3)) score_dec, measures_ids.unit.value[1] class
|
cast(measures_ids.unit.value[0] as decimal(6,3)) score_dec, measures_ids.unit.value[1] impact_class
|
||||||
from ${openaire_db_name}.result lateral view explode(measures) measures as measures_ids
|
from ${openaire_db_name}.result lateral view explode(measures) measures as measures_ids
|
||||||
where measures_ids.id!='views' and measures_ids.id!='downloads';
|
where measures_ids.id!='views' and measures_ids.id!='downloads';
|
||||||
|
|
||||||
ANALYZE TABLE indi_impact_measures COMPUTE STATISTICS;
|
create table if not exists ${stats_db_name}.result_apc_affiliations STORED AS PARQUET as
|
||||||
|
select distinct substr(rel.target,4) id, substr(rel.source,4) organization, o.legalname.value name,
|
||||||
|
cast(rel.properties[0].value as double) apc_amount,
|
||||||
|
rel.properties[1].value apc_currency
|
||||||
|
from ${openaire_db_name}.relation rel
|
||||||
|
join ${openaire_db_name}.organization o on o.id=rel.source
|
||||||
|
join ${openaire_db_name}.result r on r.id=rel.target
|
||||||
|
where rel.subreltype = 'affiliation' and rel.datainfo.deletedbyinference = false and size(rel.properties)>0;
|
||||||
|
|
|
@ -35,6 +35,7 @@ create or replace view ${stats_db_name}.doctoratestudents as select * from stats
|
||||||
create or replace view ${stats_db_name}.totalresearchers as select * from stats_ext.totalresearchers;
|
create or replace view ${stats_db_name}.totalresearchers as select * from stats_ext.totalresearchers;
|
||||||
create or replace view ${stats_db_name}.totalresearchersft as select * from stats_ext.totalresearchersft;
|
create or replace view ${stats_db_name}.totalresearchersft as select * from stats_ext.totalresearchersft;
|
||||||
create or replace view ${stats_db_name}.hrrst as select * from stats_ext.hrrst;
|
create or replace view ${stats_db_name}.hrrst as select * from stats_ext.hrrst;
|
||||||
|
create or replace view ${stats_db_name}.graduatedoctorates as select * from stats_ext.graduatedoctorates;
|
||||||
|
|
||||||
create table if not exists ${stats_db_name}.result_instance stored as parquet as
|
create table if not exists ${stats_db_name}.result_instance stored as parquet as
|
||||||
select distinct r.*
|
select distinct r.*
|
||||||
|
|
File diff suppressed because it is too large
Load Diff
|
@ -88,85 +88,88 @@ create view if not exists TARGET.doctoratestudents as select * from SOURCE.docto
|
||||||
create view if not exists TARGET.totalresearchers as select * from SOURCE.totalresearchers;
|
create view if not exists TARGET.totalresearchers as select * from SOURCE.totalresearchers;
|
||||||
create view if not exists TARGET.totalresearchersft as select * from SOURCE.totalresearchersft;
|
create view if not exists TARGET.totalresearchersft as select * from SOURCE.totalresearchersft;
|
||||||
create view if not exists TARGET.hrrst as select * from SOURCE.hrrst;
|
create view if not exists TARGET.hrrst as select * from SOURCE.hrrst;
|
||||||
|
create view if not exists TARGET.graduatedoctorates as select * from SOURCE.graduatedoctorates;
|
||||||
|
|
||||||
create table TARGET.result_citations stored as parquet as select * from SOURCE.result_citations orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_citations stored as parquet as select * from SOURCE.result_citations orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_citations COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_citations COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.result_references_oc stored as parquet as select * from SOURCE.result_references_oc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_references_oc stored as parquet as select * from SOURCE.result_references_oc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_references_oc COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_references_oc COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.result_citations_oc stored as parquet as select * from SOURCE.result_citations_oc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_citations_oc stored as parquet as select * from SOURCE.result_citations_oc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_citations_oc COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_citations_oc COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.result_classifications stored as parquet as select * from SOURCE.result_classifications orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_classifications stored as parquet as select * from SOURCE.result_classifications orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_classifications COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_classifications COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.result_apc stored as parquet as select * from SOURCE.result_apc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_apc stored as parquet as select * from SOURCE.result_apc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_apc COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_apc COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.result_concepts stored as parquet as select * from SOURCE.result_concepts orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_concepts stored as parquet as select * from SOURCE.result_concepts orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_concepts COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_concepts COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.result_datasources stored as parquet as select * from SOURCE.result_datasources orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_datasources stored as parquet as select * from SOURCE.result_datasources orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_datasources COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_datasources COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.result_fundercount stored as parquet as select * from SOURCE.result_fundercount orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_fundercount stored as parquet as select * from SOURCE.result_fundercount orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_fundercount COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_fundercount COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.result_gold stored as parquet as select * from SOURCE.result_gold orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_gold stored as parquet as select * from SOURCE.result_gold orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_gold COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_gold COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.result_greenoa stored as parquet as select * from SOURCE.result_greenoa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_greenoa stored as parquet as select * from SOURCE.result_greenoa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_greenoa COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_greenoa COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.result_languages stored as parquet as select * from SOURCE.result_languages orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_languages stored as parquet as select * from SOURCE.result_languages orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_languages COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_languages COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.result_licenses stored as parquet as select * from SOURCE.result_licenses orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_licenses stored as parquet as select * from SOURCE.result_licenses orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_licenses COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_licenses COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.licenses_normalized STORED AS PARQUET as select * from SOURCE.licenses_normalized;
|
create table TARGET.licenses_normalized STORED AS PARQUET as select * from SOURCE.licenses_normalized;
|
||||||
ANALYZE TABLE TARGET.licenses_normalized COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.licenses_normalized COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.result_oids stored as parquet as select * from SOURCE.result_oids orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_oids stored as parquet as select * from SOURCE.result_oids orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_oids COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_oids COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.result_organization stored as parquet as select * from SOURCE.result_organization orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_organization stored as parquet as select * from SOURCE.result_organization orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_organization COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_organization COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.result_peerreviewed stored as parquet as select * from SOURCE.result_peerreviewed orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_peerreviewed stored as parquet as select * from SOURCE.result_peerreviewed orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_peerreviewed COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_peerreviewed COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.result_pids stored as parquet as select * from SOURCE.result_pids orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_pids stored as parquet as select * from SOURCE.result_pids orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_pids COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_pids COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.result_projectcount stored as parquet as select * from SOURCE.result_projectcount orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_projectcount stored as parquet as select * from SOURCE.result_projectcount orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_projectcount COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_projectcount COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.result_projects stored as parquet as select * from SOURCE.result_projects orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_projects stored as parquet as select * from SOURCE.result_projects orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_projects COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_projects COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.result_refereed stored as parquet as select * from SOURCE.result_refereed orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_refereed stored as parquet as select * from SOURCE.result_refereed orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_refereed COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_refereed COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.result_sources stored as parquet as select * from SOURCE.result_sources orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_sources stored as parquet as select * from SOURCE.result_sources orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_sources COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_sources COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.result_topics stored as parquet as select * from SOURCE.result_topics orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_topics stored as parquet as select * from SOURCE.result_topics orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_topics COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_topics COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.result_fos stored as parquet as select * from SOURCE.result_fos orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_fos stored as parquet as select * from SOURCE.result_fos orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_fos COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_fos COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table TARGET.result_accessroute stored as parquet as select * from SOURCE.result_accessroute orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.result_accessroute stored as parquet as select * from SOURCE.result_accessroute orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.result_accessroute COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_accessroute COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_orcid stored as parquet as select * from SOURCE.result_orcid orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
|
||||||
create view TARGET.foo1 as select * from SOURCE.result_result rr where rr.source in (select id from TARGET.result);
|
create view TARGET.foo1 as select * from SOURCE.result_result rr where rr.source in (select id from TARGET.result);
|
||||||
create view TARGET.foo2 as select * from SOURCE.result_result rr where rr.target in (select id from TARGET.result);
|
create view TARGET.foo2 as select * from SOURCE.result_result rr where rr.target in (select id from TARGET.result);
|
||||||
create table TARGET.result_result STORED AS PARQUET as select distinct * from (select * from TARGET.foo1 union all select * from TARGET.foo2) foufou;
|
create table TARGET.result_result STORED AS PARQUET as select distinct * from (select * from TARGET.foo1 union all select * from TARGET.foo2) foufou;
|
||||||
drop view TARGET.foo1;
|
drop view TARGET.foo1;
|
||||||
drop view TARGET.foo2;
|
drop view TARGET.foo2;
|
||||||
ANALYZE TABLE TARGET.result_result COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result_result COMPUTE STATISTICS;
|
||||||
|
|
||||||
-- datasources
|
-- datasources
|
||||||
create view if not exists TARGET.datasource as select * from SOURCE.datasource;
|
create view if not exists TARGET.datasource as select * from SOURCE.datasource;
|
||||||
|
@ -175,7 +178,7 @@ create view if not exists TARGET.datasource_organizations as select * from SOURC
|
||||||
create view if not exists TARGET.datasource_sources as select * from SOURCE.datasource_sources;
|
create view if not exists TARGET.datasource_sources as select * from SOURCE.datasource_sources;
|
||||||
|
|
||||||
create table TARGET.datasource_results stored as parquet as select id as result, datasource as id from TARGET.result_datasources;
|
create table TARGET.datasource_results stored as parquet as select id as result, datasource as id from TARGET.result_datasources;
|
||||||
ANALYZE TABLE TARGET.datasource_results COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.datasource_results COMPUTE STATISTICS;
|
||||||
|
|
||||||
-- organizations
|
-- organizations
|
||||||
create view if not exists TARGET.organization as select * from SOURCE.organization;
|
create view if not exists TARGET.organization as select * from SOURCE.organization;
|
||||||
|
@ -193,28 +196,28 @@ create view if not exists TARGET.project_classification as select * from SOURCE.
|
||||||
create view if not exists TARGET.project_organization_contribution as select * from SOURCE.project_organization_contribution;
|
create view if not exists TARGET.project_organization_contribution as select * from SOURCE.project_organization_contribution;
|
||||||
|
|
||||||
create table TARGET.project_results stored as parquet as select id as result, project as id from TARGET.result_projects;
|
create table TARGET.project_results stored as parquet as select id as result, project as id from TARGET.result_projects;
|
||||||
ANALYZE TABLE TARGET.project_results COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.project_results COMPUTE STATISTICS;
|
||||||
|
|
||||||
-- indicators
|
-- indicators
|
||||||
-- Sprint 1 ----
|
-- Sprint 1 ----
|
||||||
create table TARGET.indi_pub_green_oa stored as parquet as select * from SOURCE.indi_pub_green_oa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.indi_pub_green_oa stored as parquet as select * from SOURCE.indi_pub_green_oa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.indi_pub_green_oa COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_pub_green_oa COMPUTE STATISTICS;
|
||||||
create table TARGET.indi_pub_grey_lit stored as parquet as select * from SOURCE.indi_pub_grey_lit orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.indi_pub_grey_lit stored as parquet as select * from SOURCE.indi_pub_grey_lit orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.indi_pub_grey_lit COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_pub_grey_lit COMPUTE STATISTICS;
|
||||||
create table TARGET.indi_pub_doi_from_crossref stored as parquet as select * from SOURCE.indi_pub_doi_from_crossref orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.indi_pub_doi_from_crossref stored as parquet as select * from SOURCE.indi_pub_doi_from_crossref orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.indi_pub_doi_from_crossref COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_pub_doi_from_crossref COMPUTE STATISTICS;
|
||||||
-- Sprint 2 ----
|
-- Sprint 2 ----
|
||||||
create table TARGET.indi_result_has_cc_licence stored as parquet as select * from SOURCE.indi_result_has_cc_licence orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.indi_result_has_cc_licence stored as parquet as select * from SOURCE.indi_result_has_cc_licence orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.indi_result_has_cc_licence COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_result_has_cc_licence COMPUTE STATISTICS;
|
||||||
create table TARGET.indi_result_has_cc_licence_url stored as parquet as select * from SOURCE.indi_result_has_cc_licence_url orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.indi_result_has_cc_licence_url stored as parquet as select * from SOURCE.indi_result_has_cc_licence_url orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.indi_result_has_cc_licence_url COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_result_has_cc_licence_url COMPUTE STATISTICS;
|
||||||
create table TARGET.indi_pub_has_abstract stored as parquet as select * from SOURCE.indi_pub_has_abstract orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.indi_pub_has_abstract stored as parquet as select * from SOURCE.indi_pub_has_abstract orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.indi_pub_has_abstract COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_pub_has_abstract COMPUTE STATISTICS;
|
||||||
create table TARGET.indi_result_with_orcid stored as parquet as select * from SOURCE.indi_result_with_orcid orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.indi_result_with_orcid stored as parquet as select * from SOURCE.indi_result_with_orcid orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.indi_result_with_orcid COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_result_with_orcid COMPUTE STATISTICS;
|
||||||
---- Sprint 3 ----
|
---- Sprint 3 ----
|
||||||
create table TARGET.indi_funded_result_with_fundref stored as parquet as select * from SOURCE.indi_funded_result_with_fundref orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.indi_funded_result_with_fundref stored as parquet as select * from SOURCE.indi_funded_result_with_fundref orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.indi_funded_result_with_fundref COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_funded_result_with_fundref COMPUTE STATISTICS;
|
||||||
create view TARGET.indi_result_org_collab as select * from SOURCE.indi_result_org_collab;
|
create view TARGET.indi_result_org_collab as select * from SOURCE.indi_result_org_collab;
|
||||||
create view TARGET.indi_result_org_country_collab as select * from SOURCE.indi_result_org_country_collab;
|
create view TARGET.indi_result_org_country_collab as select * from SOURCE.indi_result_org_country_collab;
|
||||||
create view TARGET.indi_project_collab_org as select * from SOURCE.indi_project_collab_org;
|
create view TARGET.indi_project_collab_org as select * from SOURCE.indi_project_collab_org;
|
||||||
|
@ -223,32 +226,32 @@ create view TARGET.indi_funder_country_collab as select * from SOURCE.indi_funde
|
||||||
create view TARGET.indi_result_country_collab as select * from SOURCE.indi_result_country_collab;
|
create view TARGET.indi_result_country_collab as select * from SOURCE.indi_result_country_collab;
|
||||||
---- Sprint 4 ----
|
---- Sprint 4 ----
|
||||||
create table TARGET.indi_pub_diamond stored as parquet as select * from SOURCE.indi_pub_diamond orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.indi_pub_diamond stored as parquet as select * from SOURCE.indi_pub_diamond orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.indi_pub_diamond COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_pub_diamond COMPUTE STATISTICS;
|
||||||
create table TARGET.indi_pub_in_transformative stored as parquet as select * from SOURCE.indi_pub_in_transformative orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.indi_pub_in_transformative stored as parquet as select * from SOURCE.indi_pub_in_transformative orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.indi_pub_in_transformative COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_pub_in_transformative COMPUTE STATISTICS;
|
||||||
create table TARGET.indi_pub_closed_other_open stored as parquet as select * from SOURCE.indi_pub_closed_other_open orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.indi_pub_closed_other_open stored as parquet as select * from SOURCE.indi_pub_closed_other_open orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.indi_pub_closed_other_open COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_pub_closed_other_open COMPUTE STATISTICS;
|
||||||
---- Sprint 5 ----
|
---- Sprint 5 ----
|
||||||
create table TARGET.indi_result_no_of_copies stored as parquet as select * from SOURCE.indi_result_no_of_copies orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.indi_result_no_of_copies stored as parquet as select * from SOURCE.indi_result_no_of_copies orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.indi_result_no_of_copies COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_result_no_of_copies COMPUTE STATISTICS;
|
||||||
---- Sprint 6 ----
|
---- Sprint 6 ----
|
||||||
create table TARGET.indi_pub_hybrid_oa_with_cc stored as parquet as select * from SOURCE.indi_pub_hybrid_oa_with_cc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.indi_pub_hybrid_oa_with_cc stored as parquet as select * from SOURCE.indi_pub_hybrid_oa_with_cc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.indi_pub_hybrid_oa_with_cc COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_pub_hybrid_oa_with_cc COMPUTE STATISTICS;
|
||||||
create table TARGET.indi_pub_bronze_oa stored as parquet as select * from SOURCE.indi_pub_bronze_oa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.indi_pub_bronze_oa stored as parquet as select * from SOURCE.indi_pub_bronze_oa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.indi_pub_bronze_oa COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_pub_bronze_oa COMPUTE STATISTICS;
|
||||||
create table TARGET.indi_pub_downloads stored as parquet as select * from SOURCE.indi_pub_downloads orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
|
create table TARGET.indi_pub_downloads stored as parquet as select * from SOURCE.indi_pub_downloads orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
|
||||||
ANALYZE TABLE TARGET.indi_pub_downloads COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_pub_downloads COMPUTE STATISTICS;
|
||||||
create table TARGET.indi_pub_downloads_datasource stored as parquet as select * from SOURCE.indi_pub_downloads_datasource orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
|
create table TARGET.indi_pub_downloads_datasource stored as parquet as select * from SOURCE.indi_pub_downloads_datasource orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
|
||||||
ANALYZE TABLE TARGET.indi_pub_downloads_datasource COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_pub_downloads_datasource COMPUTE STATISTICS;
|
||||||
create table TARGET.indi_pub_downloads_year stored as parquet as select * from SOURCE.indi_pub_downloads_year orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
|
create table TARGET.indi_pub_downloads_year stored as parquet as select * from SOURCE.indi_pub_downloads_year orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
|
||||||
ANALYZE TABLE TARGET.indi_pub_downloads_year COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_pub_downloads_year COMPUTE STATISTICS;
|
||||||
create table TARGET.indi_pub_downloads_datasource_year stored as parquet as select * from SOURCE.indi_pub_downloads_datasource_year orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
|
create table TARGET.indi_pub_downloads_datasource_year stored as parquet as select * from SOURCE.indi_pub_downloads_datasource_year orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
|
||||||
ANALYZE TABLE TARGET.indi_pub_downloads_datasource_year COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_pub_downloads_datasource_year COMPUTE STATISTICS;
|
||||||
---- Sprint 7 ----
|
---- Sprint 7 ----
|
||||||
create table TARGET.indi_pub_gold_oa stored as parquet as select * from SOURCE.indi_pub_gold_oa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.indi_pub_gold_oa stored as parquet as select * from SOURCE.indi_pub_gold_oa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.indi_pub_gold_oa COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_pub_gold_oa COMPUTE STATISTICS;
|
||||||
create table TARGET.indi_pub_hybrid stored as parquet as select * from SOURCE.indi_pub_hybrid orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.indi_pub_hybrid stored as parquet as select * from SOURCE.indi_pub_hybrid orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.indi_pub_hybrid COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_pub_hybrid COMPUTE STATISTICS;
|
||||||
create view TARGET.indi_org_fairness as select * from SOURCE.indi_org_fairness;
|
create view TARGET.indi_org_fairness as select * from SOURCE.indi_org_fairness;
|
||||||
create view TARGET.indi_org_fairness_pub_pr as select * from SOURCE.indi_org_fairness_pub_pr;
|
create view TARGET.indi_org_fairness_pub_pr as select * from SOURCE.indi_org_fairness_pub_pr;
|
||||||
create view TARGET.indi_org_fairness_pub_year as select * from SOURCE.indi_org_fairness_pub_year;
|
create view TARGET.indi_org_fairness_pub_year as select * from SOURCE.indi_org_fairness_pub_year;
|
||||||
|
@ -259,12 +262,22 @@ create view TARGET.indi_org_findable as select * from SOURCE.indi_org_findable;
|
||||||
create view TARGET.indi_org_openess as select * from SOURCE.indi_org_openess;
|
create view TARGET.indi_org_openess as select * from SOURCE.indi_org_openess;
|
||||||
create view TARGET.indi_org_openess_year as select * from SOURCE.indi_org_openess_year;
|
create view TARGET.indi_org_openess_year as select * from SOURCE.indi_org_openess_year;
|
||||||
create table TARGET.indi_pub_has_preprint stored as parquet as select * from SOURCE.indi_pub_has_preprint orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.indi_pub_has_preprint stored as parquet as select * from SOURCE.indi_pub_has_preprint orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.indi_pub_has_preprint COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_pub_has_preprint COMPUTE STATISTICS;
|
||||||
create table TARGET.indi_pub_in_subscribed stored as parquet as select * from SOURCE.indi_pub_in_subscribed orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.indi_pub_in_subscribed stored as parquet as select * from SOURCE.indi_pub_in_subscribed orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.indi_pub_in_subscribed COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_pub_in_subscribed COMPUTE STATISTICS;
|
||||||
create table TARGET.indi_result_with_pid stored as parquet as select * from SOURCE.indi_result_with_pid orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.indi_result_with_pid stored as parquet as select * from SOURCE.indi_result_with_pid orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.indi_result_with_pid COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_result_with_pid COMPUTE STATISTICS;
|
||||||
create table TARGET.indi_impact_measures stored as parquet as select * from SOURCE.indi_impact_measures orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.indi_impact_measures stored as parquet as select * from SOURCE.indi_impact_measures orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.indi_impact_measures COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_impact_measures COMPUTE STATISTICS;
|
||||||
create table TARGET.indi_pub_interdisciplinarity stored as parquet as select * from SOURCE.indi_pub_interdisciplinarity orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
create table TARGET.indi_pub_interdisciplinarity stored as parquet as select * from SOURCE.indi_pub_interdisciplinarity orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
ANALYZE TABLE TARGET.indi_pub_interdisciplinarity COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.indi_pub_interdisciplinarity COMPUTE STATISTICS;
|
||||||
|
create table TARGET.result_apc_affiliations stored as parquet as select * from SOURCE.result_apc_affiliations orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_apc_affiliations COMPUTE STATISTICS;
|
||||||
|
create table TARGET.indi_is_project_result_after stored as parquet as select * from SOURCE.indi_is_project_result_after orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
|
||||||
|
create table TARGET.indi_is_funder_plan_s stored as parquet as select * from SOURCE.indi_is_funder_plan_s orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
create view TARGET.indi_funder_fairness as select * from SOURCE.indi_funder_fairness;
|
||||||
|
create view TARGET.indi_funder_openess as select * from SOURCE.indi_funder_openess;
|
||||||
|
create view TARGET.indi_funder_findable as select * from SOURCE.indi_funder_findable;
|
||||||
|
create view TARGET.indi_ris_fairness as select * from SOURCE.indi_ris_fairness;
|
||||||
|
create view TARGET.indi_ris_openess as select * from SOURCE.indi_ris_openess;
|
||||||
|
create view TARGET.indi_ris_findable as select * from SOURCE.indi_ris_findable;
|
|
@ -0,0 +1,292 @@
|
||||||
|
drop database if exists TARGET cascade;
|
||||||
|
create database if not exists TARGET;
|
||||||
|
|
||||||
|
create view if not exists TARGET.category as select * from SOURCE.category;
|
||||||
|
create view if not exists TARGET.concept as select * from SOURCE.concept;
|
||||||
|
create view if not exists TARGET.context as select * from SOURCE.context;
|
||||||
|
create view if not exists TARGET.country as select * from SOURCE.country;
|
||||||
|
create view if not exists TARGET.countrygdp as select * from SOURCE.countrygdp;
|
||||||
|
create view if not exists TARGET.creation_date as select * from SOURCE.creation_date;
|
||||||
|
create view if not exists TARGET.funder as select * from SOURCE.funder;
|
||||||
|
create view if not exists TARGET.fundref as select * from SOURCE.fundref;
|
||||||
|
create view if not exists TARGET.rndexpenditure as select * from SOURCE.rndexpediture;
|
||||||
|
create view if not exists TARGET.rndgdpexpenditure as select * from SOURCE.rndgdpexpenditure;
|
||||||
|
create view if not exists TARGET.doctoratestudents as select * from SOURCE.doctoratestudents;
|
||||||
|
create view if not exists TARGET.totalresearchers as select * from SOURCE.totalresearchers;
|
||||||
|
create view if not exists TARGET.totalresearchersft as select * from SOURCE.totalresearchersft;
|
||||||
|
create view if not exists TARGET.hrrst as select * from SOURCE.hrrst;
|
||||||
|
create view if not exists TARGET.graduatedoctorates as select * from SOURCE.graduatedoctorates;
|
||||||
|
|
||||||
|
create table TARGET.result stored as parquet as
|
||||||
|
select distinct * from (
|
||||||
|
select * from SOURCE.result r where exists (select 1 from SOURCE.result_projects rp join SOURCE.project p on rp.project=p.id where rp.id=r.id)
|
||||||
|
union all
|
||||||
|
select * from SOURCE.result r where exists (select 1 from SOURCE.result_concepts rc where rc.id=r.id)
|
||||||
|
union all
|
||||||
|
select * from SOURCE.result r where exists (select 1 from SOURCE.result_organization ro where ro.id=r.id and ro.organization in (
|
||||||
|
'openorgs____::b84450f9864182c67b8611b5593f4250', --"Athena Research and Innovation Center In Information Communication & Knowledge Technologies', --ARC"
|
||||||
|
'openorgs____::d41cf6bd4ab1b1362a44397e0b95c975', --National Research Council
|
||||||
|
'openorgs____::d2a09b9d5eabb10c95f9470e172d05d2', --??? Not exists ??
|
||||||
|
'openorgs____::d169c7407dd417152596908d48c11460', --Masaryk University
|
||||||
|
'openorgs____::1ec924b1759bb16d0a02f2dad8689b21', --University of Belgrade
|
||||||
|
'openorgs____::0ae431b820e4c33db8967fbb2b919150', --University of Helsinki
|
||||||
|
'openorgs____::759d59f05d77188faee99b7493b46805', --University of Minho
|
||||||
|
'openorgs____::cad284878801b9465fa51a95b1d779db', --Universidad Politécnica de Madrid
|
||||||
|
'openorgs____::eadc8da90a546e98c03f896661a2e4d4', --University of Göttingen
|
||||||
|
'openorgs____::c0286313e36479eff8676dba9b724b40', --National and Kapodistrian University of Athens
|
||||||
|
-- 'openorgs____::c80a8243a5e5c620d7931c88d93bf17a', --Université Paris Diderot
|
||||||
|
'openorgs____::c08634f0a6b0081c3dc6e6c93a4314f3', --Bielefeld University
|
||||||
|
'openorgs____::6fc85e4a8f7ecaf4b0c738d010e967ea', --University of Southern Denmark
|
||||||
|
'openorgs____::3d6122f87f9a97a99d8f6e3d73313720', --Humboldt-Universität zu Berlin
|
||||||
|
'openorgs____::16720ada63d0fa8ca41601feae7d1aa5', --TU Darmstadt
|
||||||
|
'openorgs____::ccc0a066b56d2cfaf90c2ae369df16f5', --KU Leuven
|
||||||
|
'openorgs____::4c6f119632adf789746f0a057ed73e90', --University of the Western Cape
|
||||||
|
'openorgs____::ec3665affa01aeafa28b7852c4176dbd', --Rudjer Boskovic Institute
|
||||||
|
'openorgs____::5f31346d444a7f06a28c880fb170b0f6', --Ghent University
|
||||||
|
'openorgs____::2dbe47117fd5409f9c61620813456632', --University of Luxembourg
|
||||||
|
'openorgs____::6445d7758d3a40c4d997953b6632a368', --National Institute of Informatics (NII)
|
||||||
|
'openorgs____::b77c01aa15de3675da34277d48de2ec1', -- Valencia Catholic University Saint Vincent Martyr
|
||||||
|
'openorgs____::7fe2f66cdc43983c6b24816bfe9cf6a0', -- Unviersity of Warsaw
|
||||||
|
'openorgs____::15e7921fc50d9aa1229a82a84429419e', -- University Of Thessaly
|
||||||
|
'openorgs____::11f7919dadc8f8a7251af54bba60c956', -- Technical University of Crete
|
||||||
|
'openorgs____::84f0c5f5dbb6daf42748485924efde4b', -- University of Piraeus
|
||||||
|
'openorgs____::4ac562f0376fce3539504567649cb373', -- University of Patras
|
||||||
|
'openorgs____::3e8d1f8c3f6cd7f418b09f1f58b4873b', -- Aristotle University of Thessaloniki
|
||||||
|
'openorgs____::3fcef6e1c469c10f2a84b281372c9814', -- World Bank
|
||||||
|
'openorgs____::1698a2eb1885ef8adb5a4a969e745ad3', -- École des Ponts ParisTech
|
||||||
|
'openorgs____::e15adb13c4dadd49de4d35c39b5da93a', -- Nanyang Technological University
|
||||||
|
'openorgs____::4b34103bde246228fcd837f5f1bf4212', -- Autonomous University of Barcelona
|
||||||
|
'openorgs____::72ec75fcfc4e0df1a76dc4c49007fceb', -- McMaster University
|
||||||
|
'openorgs____::51c7fc556e46381734a25a6fbc3fd398', -- University of Modena and Reggio Emilia
|
||||||
|
'openorgs____::235d7f9ad18ecd7e6dc62ea4990cb9db', -- Bilkent University
|
||||||
|
'openorgs____::31f2fa9e05b49d4cf40a19c3fed8eb06', -- Saints Cyril and Methodius University of Skopje
|
||||||
|
'openorgs____::db7686f30f22cbe73a4fde872ce812a6', -- University of Milan
|
||||||
|
'openorgs____::b8b8ca674452579f3f593d9f5e557483', -- University College Cork
|
||||||
|
'openorgs____::38d7097854736583dde879d12dacafca', -- Brown University
|
||||||
|
'openorgs____::57784c9e047e826fefdb1ef816120d92', --Arts et Métiers ParisTech
|
||||||
|
'openorgs____::2530baca8a15936ba2e3297f2bce2e7e', -- University of Cape Town
|
||||||
|
'openorgs____::d11f981828c485cd23d93f7f24f24db1', -- Technological University Dublin
|
||||||
|
'openorgs____::5e6bf8962665cdd040341171e5c631d8', -- Delft University of Technology
|
||||||
|
'openorgs____::846cb428d3f52a445f7275561a7beb5d', -- University of Manitoba
|
||||||
|
'openorgs____::eb391317ed0dc684aa81ac16265de041', -- Universitat Rovira i Virgili
|
||||||
|
'openorgs____::66aa9fc2fceb271423dfabcc38752dc0', -- Lund University
|
||||||
|
'openorgs____::3cff625a4370d51e08624cc586138b2f', -- IMT Atlantique
|
||||||
|
'openorgs____::c0b262bd6eab819e4c994914f9c010e2', -- National Institute of Geophysics and Volcanology
|
||||||
|
'openorgs____::1624ff7c01bb641b91f4518539a0c28a', -- Vrije Universiteit Amsterdam
|
||||||
|
'openorgs____::4d4051b56708688235252f1d8fddb8c1', --Iscte - Instituto Universitário de Lisboa
|
||||||
|
'openorgs____::ab4ac74c35fa5dada770cf08e5110fab', -- Universidade Católica Portuguesa
|
||||||
|
'openorgs____::4d4051b56708688235252f1d8fddb8c1', -- Iscte - Instituto Universitário de Lisboa
|
||||||
|
'openorgs____::5d55fb216b14691cf68218daf5d78cd9', -- Munster Technological University
|
||||||
|
'openorgs____::0fccc7640f0cb44d5cd1b06b312a06b9', -- Cardiff University
|
||||||
|
'openorgs____::8839b55dae0c84d56fd533f52d5d483a' -- Leibniz Institute of Ecological Urban and Regional Development
|
||||||
|
) )) foo;
|
||||||
|
|
||||||
|
--ANALYZE TABLE TARGET.result COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create view if not exists TARGET.category as select * from SOURCE.category;
|
||||||
|
create view if not exists TARGET.concept as select * from SOURCE.concept;
|
||||||
|
create view if not exists TARGET.context as select * from SOURCE.context;
|
||||||
|
create view if not exists TARGET.country as select * from SOURCE.country;
|
||||||
|
create view if not exists TARGET.countrygdp as select * from SOURCE.countrygdp;
|
||||||
|
create view if not exists TARGET.creation_date as select * from SOURCE.creation_date;
|
||||||
|
create view if not exists TARGET.funder as select * from SOURCE.funder;
|
||||||
|
create view if not exists TARGET.fundref as select * from SOURCE.fundref;
|
||||||
|
create view if not exists TARGET.rndexpenditure as select * from SOURCE.rndexpediture;
|
||||||
|
create view if not exists TARGET.rndgdpexpenditure as select * from SOURCE.rndgdpexpenditure;
|
||||||
|
create view if not exists TARGET.doctoratestudents as select * from SOURCE.doctoratestudents;
|
||||||
|
create view if not exists TARGET.totalresearchers as select * from SOURCE.totalresearchers;
|
||||||
|
create view if not exists TARGET.totalresearchersft as select * from SOURCE.totalresearchersft;
|
||||||
|
create view if not exists TARGET.hrrst as select * from SOURCE.hrrst;
|
||||||
|
--create view if not exists TARGET.graduatedoctorates as select * from SOURCE.graduatedoctorates;
|
||||||
|
|
||||||
|
create table TARGET.result_citations stored as parquet as select * from SOURCE.result_citations orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_citations COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_references_oc stored as parquet as select * from SOURCE.result_references_oc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_references_oc COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_citations_oc stored as parquet as select * from SOURCE.result_citations_oc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_citations_oc COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_classifications stored as parquet as select * from SOURCE.result_classifications orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_classifications COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_apc stored as parquet as select * from SOURCE.result_apc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_apc COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_concepts stored as parquet as select * from SOURCE.result_concepts orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_concepts COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_datasources stored as parquet as select * from SOURCE.result_datasources orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_datasources COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_fundercount stored as parquet as select * from SOURCE.result_fundercount orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_fundercount COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_gold stored as parquet as select * from SOURCE.result_gold orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_gold COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_greenoa stored as parquet as select * from SOURCE.result_greenoa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_greenoa COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_languages stored as parquet as select * from SOURCE.result_languages orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_languages COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_licenses stored as parquet as select * from SOURCE.result_licenses orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_licenses COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.licenses_normalized STORED AS PARQUET as select * from SOURCE.licenses_normalized;
|
||||||
|
--ANALYZE TABLE TARGET.licenses_normalized COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_oids stored as parquet as select * from SOURCE.result_oids orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_oids COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_organization stored as parquet as select * from SOURCE.result_organization orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_organization COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_peerreviewed stored as parquet as select * from SOURCE.result_peerreviewed orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_peerreviewed COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_pids stored as parquet as select * from SOURCE.result_pids orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_pids COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_projectcount stored as parquet as select * from SOURCE.result_projectcount orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_projectcount COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_projects stored as parquet as select * from SOURCE.result_projects orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_projects COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_refereed stored as parquet as select * from SOURCE.result_refereed orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_refereed COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_sources stored as parquet as select * from SOURCE.result_sources orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_sources COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_topics stored as parquet as select * from SOURCE.result_topics orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_topics COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_fos stored as parquet as select * from SOURCE.result_fos orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_fos COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create table TARGET.result_accessroute stored as parquet as select * from SOURCE.result_accessroute orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_accessroute COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
create view TARGET.foo1 as select * from SOURCE.result_result rr where rr.source in (select id from TARGET.result);
|
||||||
|
create view TARGET.foo2 as select * from SOURCE.result_result rr where rr.target in (select id from TARGET.result);
|
||||||
|
create table TARGET.result_result STORED AS PARQUET as select distinct * from (select * from TARGET.foo1 union all select * from TARGET.foo2) foufou;
|
||||||
|
drop view TARGET.foo1;
|
||||||
|
drop view TARGET.foo2;
|
||||||
|
--ANALYZE TABLE TARGET.result_result COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
-- datasources
|
||||||
|
create view if not exists TARGET.datasource as select * from SOURCE.datasource;
|
||||||
|
create view if not exists TARGET.datasource_oids as select * from SOURCE.datasource_oids;
|
||||||
|
create view if not exists TARGET.datasource_organizations as select * from SOURCE.datasource_organizations;
|
||||||
|
create view if not exists TARGET.datasource_sources as select * from SOURCE.datasource_sources;
|
||||||
|
|
||||||
|
create table TARGET.datasource_results stored as parquet as select id as result, datasource as id from TARGET.result_datasources;
|
||||||
|
--ANALYZE TABLE TARGET.datasource_results COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
-- organizations
|
||||||
|
create view if not exists TARGET.organization as select * from SOURCE.organization;
|
||||||
|
create view if not exists TARGET.organization_datasources as select * from SOURCE.organization_datasources;
|
||||||
|
create view if not exists TARGET.organization_pids as select * from SOURCE.organization_pids;
|
||||||
|
create view if not exists TARGET.organization_projects as select * from SOURCE.organization_projects;
|
||||||
|
create view if not exists TARGET.organization_sources as select * from SOURCE.organization_sources;
|
||||||
|
|
||||||
|
-- projects
|
||||||
|
create view if not exists TARGET.project as select * from SOURCE.project;
|
||||||
|
create view if not exists TARGET.project_oids as select * from SOURCE.project_oids;
|
||||||
|
create view if not exists TARGET.project_organizations as select * from SOURCE.project_organizations;
|
||||||
|
create view if not exists TARGET.project_resultcount as select * from SOURCE.project_resultcount;
|
||||||
|
create view if not exists TARGET.project_classification as select * from SOURCE.project_classification;
|
||||||
|
create view if not exists TARGET.project_organization_contribution as select * from SOURCE.project_organization_contribution;
|
||||||
|
|
||||||
|
create table TARGET.project_results stored as parquet as select id as result, project as id from TARGET.result_projects;
|
||||||
|
--ANALYZE TABLE TARGET.project_results COMPUTE STATISTICS;
|
||||||
|
|
||||||
|
-- indicators
|
||||||
|
-- Sprint 1 ----
|
||||||
|
create table TARGET.indi_pub_green_oa stored as parquet as select * from SOURCE.indi_pub_green_oa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_pub_green_oa COMPUTE STATISTICS;
|
||||||
|
create table TARGET.indi_pub_grey_lit stored as parquet as select * from SOURCE.indi_pub_grey_lit orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_pub_grey_lit COMPUTE STATISTICS;
|
||||||
|
create table TARGET.indi_pub_doi_from_crossref stored as parquet as select * from SOURCE.indi_pub_doi_from_crossref orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_pub_doi_from_crossref COMPUTE STATISTICS;
|
||||||
|
-- Sprint 2 ----
|
||||||
|
create table TARGET.indi_result_has_cc_licence stored as parquet as select * from SOURCE.indi_result_has_cc_licence orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_result_has_cc_licence COMPUTE STATISTICS;
|
||||||
|
create table TARGET.indi_result_has_cc_licence_url stored as parquet as select * from SOURCE.indi_result_has_cc_licence_url orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_result_has_cc_licence_url COMPUTE STATISTICS;
|
||||||
|
create table TARGET.indi_pub_has_abstract stored as parquet as select * from SOURCE.indi_pub_has_abstract orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_pub_has_abstract COMPUTE STATISTICS;
|
||||||
|
create table TARGET.indi_result_with_orcid stored as parquet as select * from SOURCE.indi_result_with_orcid orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_result_with_orcid COMPUTE STATISTICS;
|
||||||
|
---- Sprint 3 ----
|
||||||
|
create table TARGET.indi_funded_result_with_fundref stored as parquet as select * from SOURCE.indi_funded_result_with_fundref orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_funded_result_with_fundref COMPUTE STATISTICS;
|
||||||
|
create view TARGET.indi_result_org_collab as select * from SOURCE.indi_result_org_collab;
|
||||||
|
create view TARGET.indi_result_org_country_collab as select * from SOURCE.indi_result_org_country_collab;
|
||||||
|
create view TARGET.indi_project_collab_org as select * from SOURCE.indi_project_collab_org;
|
||||||
|
create view TARGET.indi_project_collab_org_country as select * from SOURCE.indi_project_collab_org_country;
|
||||||
|
create view TARGET.indi_funder_country_collab as select * from SOURCE.indi_funder_country_collab;
|
||||||
|
create view TARGET.indi_result_country_collab as select * from SOURCE.indi_result_country_collab;
|
||||||
|
---- Sprint 4 ----
|
||||||
|
create table TARGET.indi_pub_diamond stored as parquet as select * from SOURCE.indi_pub_diamond orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_pub_diamond COMPUTE STATISTICS;
|
||||||
|
create table TARGET.indi_pub_in_transformative stored as parquet as select * from SOURCE.indi_pub_in_transformative orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_pub_in_transformative COMPUTE STATISTICS;
|
||||||
|
create table TARGET.indi_pub_closed_other_open stored as parquet as select * from SOURCE.indi_pub_closed_other_open orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_pub_closed_other_open COMPUTE STATISTICS;
|
||||||
|
---- Sprint 5 ----
|
||||||
|
create table TARGET.indi_result_no_of_copies stored as parquet as select * from SOURCE.indi_result_no_of_copies orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_result_no_of_copies COMPUTE STATISTICS;
|
||||||
|
---- Sprint 6 ----
|
||||||
|
create table TARGET.indi_pub_hybrid_oa_with_cc stored as parquet as select * from SOURCE.indi_pub_hybrid_oa_with_cc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_pub_hybrid_oa_with_cc COMPUTE STATISTICS;
|
||||||
|
create table TARGET.indi_pub_bronze_oa stored as parquet as select * from SOURCE.indi_pub_bronze_oa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_pub_bronze_oa COMPUTE STATISTICS;
|
||||||
|
create table TARGET.indi_pub_downloads stored as parquet as select * from SOURCE.indi_pub_downloads orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_pub_downloads COMPUTE STATISTICS;
|
||||||
|
create table TARGET.indi_pub_downloads_datasource stored as parquet as select * from SOURCE.indi_pub_downloads_datasource orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_pub_downloads_datasource COMPUTE STATISTICS;
|
||||||
|
create table TARGET.indi_pub_downloads_year stored as parquet as select * from SOURCE.indi_pub_downloads_year orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_pub_downloads_year COMPUTE STATISTICS;
|
||||||
|
create table TARGET.indi_pub_downloads_datasource_year stored as parquet as select * from SOURCE.indi_pub_downloads_datasource_year orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_pub_downloads_datasource_year COMPUTE STATISTICS;
|
||||||
|
---- Sprint 7 ----
|
||||||
|
create table TARGET.indi_pub_gold_oa stored as parquet as select * from SOURCE.indi_pub_gold_oa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_pub_gold_oa COMPUTE STATISTICS;
|
||||||
|
create table TARGET.indi_pub_hybrid stored as parquet as select * from SOURCE.indi_pub_hybrid orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_pub_hybrid COMPUTE STATISTICS;
|
||||||
|
create view TARGET.indi_org_fairness as select * from SOURCE.indi_org_fairness;
|
||||||
|
create view TARGET.indi_org_fairness_pub_pr as select * from SOURCE.indi_org_fairness_pub_pr;
|
||||||
|
create view TARGET.indi_org_fairness_pub_year as select * from SOURCE.indi_org_fairness_pub_year;
|
||||||
|
create view TARGET.indi_org_fairness_pub as select * from SOURCE.indi_org_fairness_pub;
|
||||||
|
create view TARGET.indi_org_fairness_year as select * from SOURCE.indi_org_fairness_year;
|
||||||
|
create view TARGET.indi_org_findable_year as select * from SOURCE.indi_org_findable_year;
|
||||||
|
create view TARGET.indi_org_findable as select * from SOURCE.indi_org_findable;
|
||||||
|
create view TARGET.indi_org_openess as select * from SOURCE.indi_org_openess;
|
||||||
|
create view TARGET.indi_org_openess_year as select * from SOURCE.indi_org_openess_year;
|
||||||
|
create table TARGET.indi_pub_has_preprint stored as parquet as select * from SOURCE.indi_pub_has_preprint orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_pub_has_preprint COMPUTE STATISTICS;
|
||||||
|
create table TARGET.indi_pub_in_subscribed stored as parquet as select * from SOURCE.indi_pub_in_subscribed orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_pub_in_subscribed COMPUTE STATISTICS;
|
||||||
|
create table TARGET.indi_result_with_pid stored as parquet as select * from SOURCE.indi_result_with_pid orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_result_with_pid COMPUTE STATISTICS;
|
||||||
|
create table TARGET.indi_impact_measures stored as parquet as select * from SOURCE.indi_impact_measures orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_impact_measures COMPUTE STATISTICS;
|
||||||
|
create table TARGET.indi_pub_interdisciplinarity stored as parquet as select * from SOURCE.indi_pub_interdisciplinarity orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.indi_pub_interdisciplinarity COMPUTE STATISTICS;
|
||||||
|
create table TARGET.result_apc_affiliations stored as parquet as select * from SOURCE.result_apc_affiliations orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
--ANALYZE TABLE TARGET.result_apc_affiliations COMPUTE STATISTICS;
|
||||||
|
create table TARGET.indi_is_project_result_after stored as parquet as select * from SOURCE.indi_is_project_result_after orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
create table TARGET.indi_is_funder_plan_s stored as parquet as select * from SOURCE.indi_is_funder_plan_s orig where exists (select 1 from TARGET.result r where r.id=orig.id);
|
||||||
|
create view TARGET.indi_funder_fairness as select * from SOURCE.indi_funder_fairness;
|
||||||
|
create view TARGET.indi_funder_openess as select * from SOURCE.indi_funder_openess;
|
||||||
|
create view TARGET.indi_funder_findable as select * from SOURCE.indi_funder_findable;
|
||||||
|
create view TARGET.indi_ris_fairness as select * from SOURCE.indi_ris_fairness;
|
||||||
|
create view TARGET.indi_ris_openess as select * from SOURCE.indi_ris_openess;
|
||||||
|
create view TARGET.indi_ris_findable as select * from SOURCE.indi_ris_findable;
|
||||||
|
|
||||||
|
|
|
@ -12,4 +12,4 @@ create table TARGET.result stored as parquet as
|
||||||
-- join SOURCE.result
|
-- join SOURCE.result
|
||||||
where rc.id=r.id and conc.category like CONTEXT)
|
where rc.id=r.id and conc.category like CONTEXT)
|
||||||
) foo;
|
) foo;
|
||||||
ANALYZE TABLE TARGET.result COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result COMPUTE STATISTICS;
|
|
@ -12,4 +12,4 @@ create table TARGET.result stored as parquet as
|
||||||
-- join SOURCE.result
|
-- join SOURCE.result
|
||||||
where rc.id=r.id and conc.category not in (CONTEXTS))
|
where rc.id=r.id and conc.category not in (CONTEXTS))
|
||||||
) foo;
|
) foo;
|
||||||
ANALYZE TABLE TARGET.result COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result COMPUTE STATISTICS;
|
|
@ -6,4 +6,4 @@ create table TARGET.result stored as parquet as
|
||||||
select * from SOURCE.result r where exists (select 1 from SOURCE.result_projects rp join SOURCE.project p on rp.project=p.id where rp.id=r.id)
|
select * from SOURCE.result r where exists (select 1 from SOURCE.result_projects rp join SOURCE.project p on rp.project=p.id where rp.id=r.id)
|
||||||
) foo;
|
) foo;
|
||||||
|
|
||||||
ANALYZE TABLE TARGET.result COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result COMPUTE STATISTICS;
|
|
@ -42,7 +42,7 @@ create table TARGET.result stored as parquet as
|
||||||
'openorgs____::31f2fa9e05b49d4cf40a19c3fed8eb06', -- Saints Cyril and Methodius University of Skopje
|
'openorgs____::31f2fa9e05b49d4cf40a19c3fed8eb06', -- Saints Cyril and Methodius University of Skopje
|
||||||
'openorgs____::db7686f30f22cbe73a4fde872ce812a6', -- University of Milan
|
'openorgs____::db7686f30f22cbe73a4fde872ce812a6', -- University of Milan
|
||||||
'openorgs____::b8b8ca674452579f3f593d9f5e557483', -- University College Cork
|
'openorgs____::b8b8ca674452579f3f593d9f5e557483', -- University College Cork
|
||||||
'openorgs____::38d7097854736583dde879d12dacafca' -- Brown University
|
'openorgs____::38d7097854736583dde879d12dacafca', -- Brown University
|
||||||
'openorgs____::57784c9e047e826fefdb1ef816120d92', --Arts et Métiers ParisTech
|
'openorgs____::57784c9e047e826fefdb1ef816120d92', --Arts et Métiers ParisTech
|
||||||
'openorgs____::2530baca8a15936ba2e3297f2bce2e7e', -- University of Cape Town
|
'openorgs____::2530baca8a15936ba2e3297f2bce2e7e', -- University of Cape Town
|
||||||
'openorgs____::d11f981828c485cd23d93f7f24f24db1', -- Technological University Dublin
|
'openorgs____::d11f981828c485cd23d93f7f24f24db1', -- Technological University Dublin
|
||||||
|
@ -52,7 +52,13 @@ create table TARGET.result stored as parquet as
|
||||||
'openorgs____::66aa9fc2fceb271423dfabcc38752dc0', -- Lund University
|
'openorgs____::66aa9fc2fceb271423dfabcc38752dc0', -- Lund University
|
||||||
'openorgs____::3cff625a4370d51e08624cc586138b2f', -- IMT Atlantique
|
'openorgs____::3cff625a4370d51e08624cc586138b2f', -- IMT Atlantique
|
||||||
'openorgs____::c0b262bd6eab819e4c994914f9c010e2', -- National Institute of Geophysics and Volcanology
|
'openorgs____::c0b262bd6eab819e4c994914f9c010e2', -- National Institute of Geophysics and Volcanology
|
||||||
'openorgs____::1624ff7c01bb641b91f4518539a0c28a' -- Vrije Universiteit Amsterdam
|
'openorgs____::1624ff7c01bb641b91f4518539a0c28a', -- Vrije Universiteit Amsterdam
|
||||||
|
'openorgs____::4d4051b56708688235252f1d8fddb8c1', --Iscte - Instituto Universitário de Lisboa
|
||||||
|
'openorgs____::ab4ac74c35fa5dada770cf08e5110fab', -- Universidade Católica Portuguesa
|
||||||
|
'openorgs____::4d4051b56708688235252f1d8fddb8c1', -- Iscte - Instituto Universitário de Lisboa
|
||||||
|
'openorgs____::5d55fb216b14691cf68218daf5d78cd9', -- Munster Technological University
|
||||||
|
'openorgs____::0fccc7640f0cb44d5cd1b06b312a06b9', -- Cardiff University
|
||||||
|
'openorgs____::8839b55dae0c84d56fd533f52d5d483a' -- Leibniz Institute of Ecological Urban and Regional Development
|
||||||
))) foo;
|
))) foo;
|
||||||
|
|
||||||
ANALYZE TABLE TARGET.result COMPUTE STATISTICS;
|
--ANALYZE TABLE TARGET.result COMPUTE STATISTICS;
|
|
@ -8,7 +8,7 @@ from ${stats_db_name}.result r
|
||||||
group by rl.id
|
group by rl.id
|
||||||
) rln on rln.id=r.id;
|
) rln on rln.id=r.id;
|
||||||
|
|
||||||
ANALYZE TABLE ${observatory_db_name}.result_cc_licence COMPUTE STATISTICS;
|
--ANALYZE TABLE ${observatory_db_name}.result_cc_licence COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table ${observatory_db_name}.result_affiliated_country stored as parquet as
|
create table ${observatory_db_name}.result_affiliated_country stored as parquet as
|
||||||
select
|
select
|
||||||
|
@ -39,7 +39,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
|
||||||
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
||||||
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, c.code, c.name;
|
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, c.code, c.name;
|
||||||
|
|
||||||
ANALYZE TABLE ${observatory_db_name}.result_affiliated_country COMPUTE STATISTICS;
|
--ANALYZE TABLE ${observatory_db_name}.result_affiliated_country COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table ${observatory_db_name}.result_affiliated_year stored as parquet as
|
create table ${observatory_db_name}.result_affiliated_year stored as parquet as
|
||||||
select
|
select
|
||||||
|
@ -70,7 +70,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
|
||||||
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
||||||
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, r.year;
|
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, r.year;
|
||||||
|
|
||||||
ANALYZE TABLE ${observatory_db_name}.result_affiliated_year COMPUTE STATISTICS;
|
--ANALYZE TABLE ${observatory_db_name}.result_affiliated_year COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table ${observatory_db_name}.result_affiliated_year_country stored as parquet as
|
create table ${observatory_db_name}.result_affiliated_year_country stored as parquet as
|
||||||
select
|
select
|
||||||
|
@ -101,7 +101,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
|
||||||
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
||||||
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, r.year, c.code, c.name;
|
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, r.year, c.code, c.name;
|
||||||
|
|
||||||
ANALYZE TABLE ${observatory_db_name}.result_affiliated_year_country COMPUTE STATISTICS;
|
--ANALYZE TABLE ${observatory_db_name}.result_affiliated_year_country COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table ${observatory_db_name}.result_affiliated_datasource stored as parquet as
|
create table ${observatory_db_name}.result_affiliated_datasource stored as parquet as
|
||||||
select
|
select
|
||||||
|
@ -134,7 +134,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
|
||||||
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
||||||
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, d.name;
|
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, d.name;
|
||||||
|
|
||||||
ANALYZE TABLE ${observatory_db_name}.result_affiliated_datasource COMPUTE STATISTICS;
|
--ANALYZE TABLE ${observatory_db_name}.result_affiliated_datasource COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table ${observatory_db_name}.result_affiliated_datasource_country stored as parquet as
|
create table ${observatory_db_name}.result_affiliated_datasource_country stored as parquet as
|
||||||
select
|
select
|
||||||
|
@ -167,7 +167,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
|
||||||
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
||||||
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, d.name, c.code, c.name;
|
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, d.name, c.code, c.name;
|
||||||
|
|
||||||
ANALYZE TABLE ${observatory_db_name}.result_affiliated_datasource_country COMPUTE STATISTICS;
|
--ANALYZE TABLE ${observatory_db_name}.result_affiliated_datasource_country COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table ${observatory_db_name}.result_affiliated_organization stored as parquet as
|
create table ${observatory_db_name}.result_affiliated_organization stored as parquet as
|
||||||
select
|
select
|
||||||
|
@ -198,7 +198,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
|
||||||
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
||||||
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, o.name;
|
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, o.name;
|
||||||
|
|
||||||
ANALYZE TABLE ${observatory_db_name}.result_affiliated_organization COMPUTE STATISTICS;
|
--ANALYZE TABLE ${observatory_db_name}.result_affiliated_organization COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table ${observatory_db_name}.result_affiliated_organization_country stored as parquet as
|
create table ${observatory_db_name}.result_affiliated_organization_country stored as parquet as
|
||||||
select
|
select
|
||||||
|
@ -229,7 +229,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
|
||||||
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
||||||
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, o.name, c.code, c.name;
|
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, o.name, c.code, c.name;
|
||||||
|
|
||||||
ANALYZE TABLE ${observatory_db_name}.result_affiliated_organization_country COMPUTE STATISTICS;
|
--ANALYZE TABLE ${observatory_db_name}.result_affiliated_organization_country COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table ${observatory_db_name}.result_affiliated_funder stored as parquet as
|
create table ${observatory_db_name}.result_affiliated_funder stored as parquet as
|
||||||
select
|
select
|
||||||
|
@ -262,7 +262,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
|
||||||
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
||||||
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, p.funder;
|
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, p.funder;
|
||||||
|
|
||||||
ANALYZE TABLE ${observatory_db_name}.result_affiliated_funder COMPUTE STATISTICS;
|
--ANALYZE TABLE ${observatory_db_name}.result_affiliated_funder COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table ${observatory_db_name}.result_affiliated_funder_country stored as parquet as
|
create table ${observatory_db_name}.result_affiliated_funder_country stored as parquet as
|
||||||
select
|
select
|
||||||
|
@ -295,7 +295,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
|
||||||
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
||||||
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, p.funder, c.code, c.name;
|
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, p.funder, c.code, c.name;
|
||||||
|
|
||||||
ANALYZE TABLE ${observatory_db_name}.result_affiliated_funder_country COMPUTE STATISTICS;
|
--ANALYZE TABLE ${observatory_db_name}.result_affiliated_funder_country COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table ${observatory_db_name}.result_deposited_country stored as parquet as
|
create table ${observatory_db_name}.result_deposited_country stored as parquet as
|
||||||
select
|
select
|
||||||
|
@ -328,7 +328,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
|
||||||
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
||||||
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, c.code, c.name;
|
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, c.code, c.name;
|
||||||
|
|
||||||
ANALYZE TABLE ${observatory_db_name}.result_deposited_country COMPUTE STATISTICS;
|
--ANALYZE TABLE ${observatory_db_name}.result_deposited_country COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table ${observatory_db_name}.result_deposited_year stored as parquet as
|
create table ${observatory_db_name}.result_deposited_year stored as parquet as
|
||||||
select
|
select
|
||||||
|
@ -361,7 +361,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
|
||||||
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
||||||
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, r.year;
|
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, r.year;
|
||||||
|
|
||||||
ANALYZE TABLE ${observatory_db_name}.result_deposited_year COMPUTE STATISTICS;
|
--ANALYZE TABLE ${observatory_db_name}.result_deposited_year COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table ${observatory_db_name}.result_deposited_year_country stored as parquet as
|
create table ${observatory_db_name}.result_deposited_year_country stored as parquet as
|
||||||
select
|
select
|
||||||
|
@ -394,7 +394,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
|
||||||
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
||||||
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, r.year, c.code, c.name;
|
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, r.year, c.code, c.name;
|
||||||
|
|
||||||
ANALYZE TABLE ${observatory_db_name}.result_deposited_year_country COMPUTE STATISTICS;
|
--ANALYZE TABLE ${observatory_db_name}.result_deposited_year_country COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table ${observatory_db_name}.result_deposited_datasource stored as parquet as
|
create table ${observatory_db_name}.result_deposited_datasource stored as parquet as
|
||||||
select
|
select
|
||||||
|
@ -427,7 +427,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
|
||||||
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
||||||
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, d.name;
|
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, d.name;
|
||||||
|
|
||||||
ANALYZE TABLE ${observatory_db_name}.result_deposited_datasource COMPUTE STATISTICS;
|
--ANALYZE TABLE ${observatory_db_name}.result_deposited_datasource COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table ${observatory_db_name}.result_deposited_datasource_country stored as parquet as
|
create table ${observatory_db_name}.result_deposited_datasource_country stored as parquet as
|
||||||
select
|
select
|
||||||
|
@ -460,7 +460,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
|
||||||
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
||||||
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, d.name, c.code, c.name;
|
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, d.name, c.code, c.name;
|
||||||
|
|
||||||
ANALYZE TABLE ${observatory_db_name}.result_deposited_datasource_country COMPUTE STATISTICS;
|
--ANALYZE TABLE ${observatory_db_name}.result_deposited_datasource_country COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table ${observatory_db_name}.result_deposited_organization stored as parquet as
|
create table ${observatory_db_name}.result_deposited_organization stored as parquet as
|
||||||
select
|
select
|
||||||
|
@ -493,7 +493,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
|
||||||
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
||||||
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, o.name;
|
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, o.name;
|
||||||
|
|
||||||
ANALYZE TABLE ${observatory_db_name}.result_deposited_organization COMPUTE STATISTICS;
|
--ANALYZE TABLE ${observatory_db_name}.result_deposited_organization COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table ${observatory_db_name}.result_deposited_organization_country stored as parquet as
|
create table ${observatory_db_name}.result_deposited_organization_country stored as parquet as
|
||||||
select
|
select
|
||||||
|
@ -526,7 +526,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
|
||||||
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
||||||
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, o.name, c.code, c.name;
|
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, o.name, c.code, c.name;
|
||||||
|
|
||||||
ANALYZE TABLE ${observatory_db_name}.result_deposited_organization_country COMPUTE STATISTICS;
|
--ANALYZE TABLE ${observatory_db_name}.result_deposited_organization_country COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table ${observatory_db_name}.result_deposited_funder stored as parquet as
|
create table ${observatory_db_name}.result_deposited_funder stored as parquet as
|
||||||
select
|
select
|
||||||
|
@ -561,7 +561,7 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
|
||||||
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
||||||
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, p.funder;
|
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, p.funder;
|
||||||
|
|
||||||
ANALYZE TABLE ${observatory_db_name}.result_deposited_funder COMPUTE STATISTICS;
|
--ANALYZE TABLE ${observatory_db_name}.result_deposited_funder COMPUTE STATISTICS;
|
||||||
|
|
||||||
create table ${observatory_db_name}.result_deposited_funder_country stored as parquet as
|
create table ${observatory_db_name}.result_deposited_funder_country stored as parquet as
|
||||||
select
|
select
|
||||||
|
@ -596,4 +596,4 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
|
||||||
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
|
||||||
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, p.funder, c.code, c.name;
|
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, p.funder, c.code, c.name;
|
||||||
|
|
||||||
ANALYZE TABLE ${observatory_db_name}.result_deposited_funder_country COMPUTE STATISTICS;
|
--ANALYZE TABLE ${observatory_db_name}.result_deposited_funder_country COMPUTE STATISTICS;
|
0
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5.sql
Normal file → Executable file
0
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/scripts/step5.sql
Normal file → Executable file
|
@ -317,15 +317,12 @@
|
||||||
</action>
|
</action>
|
||||||
|
|
||||||
<action name="Step16-createIndicatorsTables">
|
<action name="Step16-createIndicatorsTables">
|
||||||
<shell xmlns="uri:oozie:shell-action:0.1">
|
<hive2 xmlns="uri:oozie:hive2-action:0.1">
|
||||||
<job-tracker>${jobTracker}</job-tracker>
|
<jdbc-url>${hive_jdbc_url}</jdbc-url>
|
||||||
<name-node>${nameNode}</name-node>
|
<script>scripts/step16-createIndicatorsTables.sql</script>
|
||||||
<exec>indicators.sh</exec>
|
<param>stats_db_name=${stats_db_name}</param>
|
||||||
<argument>${stats_db_name}</argument>
|
<param>external_stats_db_name=${external_stats_db_name}</param>
|
||||||
<argument>${external_stats_db_name}</argument>
|
</hive2>
|
||||||
<argument>${wf:appPath()}/scripts/step16-createIndicatorsTables.sql</argument>
|
|
||||||
<file>indicators.sh</file>
|
|
||||||
</shell>
|
|
||||||
<ok to="Step16_1-definitions"/>
|
<ok to="Step16_1-definitions"/>
|
||||||
<error to="Kill"/>
|
<error to="Kill"/>
|
||||||
</action>
|
</action>
|
||||||
|
@ -378,6 +375,7 @@
|
||||||
<argument>${wf:appPath()}/scripts/step20-createMonitorDB_institutions.sql</argument>
|
<argument>${wf:appPath()}/scripts/step20-createMonitorDB_institutions.sql</argument>
|
||||||
<argument>${wf:appPath()}/scripts/step20-createMonitorDB_RIs.sql</argument>
|
<argument>${wf:appPath()}/scripts/step20-createMonitorDB_RIs.sql</argument>
|
||||||
<argument>${wf:appPath()}/scripts/step20-createMonitorDB_RIs_tail.sql</argument>
|
<argument>${wf:appPath()}/scripts/step20-createMonitorDB_RIs_tail.sql</argument>
|
||||||
|
<argument>${wf:appPath()}/scripts/step20-createMonitorDBAll.sql</argument>
|
||||||
<file>monitor.sh</file>
|
<file>monitor.sh</file>
|
||||||
</shell>
|
</shell>
|
||||||
<ok to="step21-createObservatoryDB-pre"/>
|
<ok to="step21-createObservatoryDB-pre"/>
|
||||||
|
|
|
@ -0,0 +1,110 @@
|
||||||
|
<?xml version="1.0" encoding="UTF-8"?>
|
||||||
|
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
|
||||||
|
<modelVersion>4.0.0</modelVersion>
|
||||||
|
<parent>
|
||||||
|
<groupId>eu.dnetlib.dhp</groupId>
|
||||||
|
<artifactId>dhp-workflows</artifactId>
|
||||||
|
<version>1.2.5-SNAPSHOT</version>
|
||||||
|
</parent>
|
||||||
|
<artifactId>dhp-swh</artifactId>
|
||||||
|
|
||||||
|
<dependencies>
|
||||||
|
<dependency>
|
||||||
|
<groupId>org.apache.spark</groupId>
|
||||||
|
<artifactId>spark-core_${scala.binary.version}</artifactId>
|
||||||
|
</dependency>
|
||||||
|
|
||||||
|
<dependency>
|
||||||
|
<groupId>org.apache.spark</groupId>
|
||||||
|
<artifactId>spark-sql_${scala.binary.version}</artifactId>
|
||||||
|
</dependency>
|
||||||
|
|
||||||
|
<dependency>
|
||||||
|
<groupId>eu.dnetlib.dhp</groupId>
|
||||||
|
<artifactId>dhp-common</artifactId>
|
||||||
|
<version>${project.version}</version>
|
||||||
|
<exclusions>
|
||||||
|
<exclusion>
|
||||||
|
<groupId>net.sf.saxon</groupId>
|
||||||
|
<artifactId>Saxon-HE</artifactId>
|
||||||
|
</exclusion>
|
||||||
|
</exclusions>
|
||||||
|
</dependency>
|
||||||
|
|
||||||
|
<dependency>
|
||||||
|
<groupId>dom4j</groupId>
|
||||||
|
<artifactId>dom4j</artifactId>
|
||||||
|
</dependency>
|
||||||
|
|
||||||
|
<dependency>
|
||||||
|
<groupId>xml-apis</groupId>
|
||||||
|
<artifactId>xml-apis</artifactId>
|
||||||
|
</dependency>
|
||||||
|
|
||||||
|
<dependency>
|
||||||
|
<groupId>jaxen</groupId>
|
||||||
|
<artifactId>jaxen</artifactId>
|
||||||
|
</dependency>
|
||||||
|
|
||||||
|
<dependency>
|
||||||
|
<groupId>org.apache.hadoop</groupId>
|
||||||
|
<artifactId>hadoop-distcp</artifactId>
|
||||||
|
</dependency>
|
||||||
|
|
||||||
|
<dependency>
|
||||||
|
<groupId>eu.dnetlib</groupId>
|
||||||
|
<artifactId>dnet-actionmanager-api</artifactId>
|
||||||
|
</dependency>
|
||||||
|
<dependency>
|
||||||
|
<groupId>eu.dnetlib</groupId>
|
||||||
|
<artifactId>dnet-actionmanager-common</artifactId>
|
||||||
|
<exclusions>
|
||||||
|
<exclusion>
|
||||||
|
<groupId>eu.dnetlib</groupId>
|
||||||
|
<artifactId>dnet-openaireplus-mapping-utils</artifactId>
|
||||||
|
</exclusion>
|
||||||
|
<exclusion>
|
||||||
|
<groupId>saxonica</groupId>
|
||||||
|
<artifactId>saxon</artifactId>
|
||||||
|
</exclusion>
|
||||||
|
<exclusion>
|
||||||
|
<groupId>saxonica</groupId>
|
||||||
|
<artifactId>saxon-dom</artifactId>
|
||||||
|
</exclusion>
|
||||||
|
<exclusion>
|
||||||
|
<groupId>jgrapht</groupId>
|
||||||
|
<artifactId>jgrapht</artifactId>
|
||||||
|
</exclusion>
|
||||||
|
<exclusion>
|
||||||
|
<groupId>net.sf.ehcache</groupId>
|
||||||
|
<artifactId>ehcache</artifactId>
|
||||||
|
</exclusion>
|
||||||
|
<exclusion>
|
||||||
|
<groupId>org.springframework</groupId>
|
||||||
|
<artifactId>spring-test</artifactId>
|
||||||
|
</exclusion>
|
||||||
|
<exclusion>
|
||||||
|
<groupId>org.apache.*</groupId>
|
||||||
|
<artifactId>*</artifactId>
|
||||||
|
</exclusion>
|
||||||
|
<exclusion>
|
||||||
|
<groupId>apache</groupId>
|
||||||
|
<artifactId>*</artifactId>
|
||||||
|
</exclusion>
|
||||||
|
</exclusions>
|
||||||
|
</dependency>
|
||||||
|
|
||||||
|
<dependency>
|
||||||
|
<groupId>org.apache.httpcomponents</groupId>
|
||||||
|
<artifactId>httpclient</artifactId>
|
||||||
|
<version>4.5.13</version>
|
||||||
|
</dependency>
|
||||||
|
<dependency>
|
||||||
|
<groupId>org.datanucleus</groupId>
|
||||||
|
<artifactId>datanucleus-core</artifactId>
|
||||||
|
<version>3.2.10</version>
|
||||||
|
<scope>compile</scope>
|
||||||
|
</dependency>
|
||||||
|
|
||||||
|
</dependencies>
|
||||||
|
</project>
|
|
@ -0,0 +1,176 @@
|
||||||
|
|
||||||
|
package eu.dnetlib.dhp.swh;
|
||||||
|
|
||||||
|
import static eu.dnetlib.dhp.utils.DHPUtils.getHadoopConfiguration;
|
||||||
|
|
||||||
|
import java.io.IOException;
|
||||||
|
import java.net.URL;
|
||||||
|
import java.text.SimpleDateFormat;
|
||||||
|
import java.util.Date;
|
||||||
|
import java.util.Optional;
|
||||||
|
import java.util.concurrent.TimeUnit;
|
||||||
|
|
||||||
|
import org.apache.commons.cli.ParseException;
|
||||||
|
import org.apache.commons.io.IOUtils;
|
||||||
|
import org.apache.hadoop.fs.FileSystem;
|
||||||
|
import org.apache.hadoop.io.SequenceFile;
|
||||||
|
import org.apache.hadoop.io.Text;
|
||||||
|
import org.slf4j.Logger;
|
||||||
|
import org.slf4j.LoggerFactory;
|
||||||
|
|
||||||
|
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||||
|
|
||||||
|
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||||
|
import eu.dnetlib.dhp.common.collection.CollectorException;
|
||||||
|
import eu.dnetlib.dhp.common.collection.HttpClientParams;
|
||||||
|
import eu.dnetlib.dhp.schema.common.ModelSupport;
|
||||||
|
import eu.dnetlib.dhp.schema.oaf.utils.GraphCleaningFunctions;
|
||||||
|
import eu.dnetlib.dhp.swh.models.LastVisitData;
|
||||||
|
import eu.dnetlib.dhp.swh.utils.SWHConnection;
|
||||||
|
import eu.dnetlib.dhp.swh.utils.SWHConstants;
|
||||||
|
import eu.dnetlib.dhp.swh.utils.SWHUtils;
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Sends archive requests to the SWH API for those software repository URLs that are missing from them
|
||||||
|
*
|
||||||
|
* @author Serafeim Chatzopoulos
|
||||||
|
*/
|
||||||
|
public class ArchiveRepositoryURLs {
|
||||||
|
|
||||||
|
private static final Logger log = LoggerFactory.getLogger(ArchiveRepositoryURLs.class);
|
||||||
|
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
||||||
|
|
||||||
|
private static SWHConnection swhConnection = null;
|
||||||
|
|
||||||
|
public static void main(final String[] args) throws IOException, ParseException {
|
||||||
|
final ArgumentApplicationParser argumentParser = new ArgumentApplicationParser(
|
||||||
|
IOUtils
|
||||||
|
.toString(
|
||||||
|
CollectLastVisitRepositoryData.class
|
||||||
|
.getResourceAsStream(
|
||||||
|
"/eu/dnetlib/dhp/swh/input_archive_repository_urls.json")));
|
||||||
|
argumentParser.parseArgument(args);
|
||||||
|
|
||||||
|
final String hdfsuri = argumentParser.get("namenode");
|
||||||
|
log.info("hdfsURI: {}", hdfsuri);
|
||||||
|
|
||||||
|
final String inputPath = argumentParser.get("lastVisitsPath");
|
||||||
|
log.info("inputPath: {}", inputPath);
|
||||||
|
|
||||||
|
final String outputPath = argumentParser.get("archiveRequestsPath");
|
||||||
|
log.info("outputPath: {}", outputPath);
|
||||||
|
|
||||||
|
final Integer archiveThresholdInDays = Integer.parseInt(argumentParser.get("archiveThresholdInDays"));
|
||||||
|
log.info("archiveThresholdInDays: {}", archiveThresholdInDays);
|
||||||
|
|
||||||
|
final String apiAccessToken = argumentParser.get("apiAccessToken");
|
||||||
|
log.info("apiAccessToken: {}", apiAccessToken);
|
||||||
|
|
||||||
|
final HttpClientParams clientParams = SWHUtils.getClientParams(argumentParser);
|
||||||
|
|
||||||
|
swhConnection = new SWHConnection(clientParams, apiAccessToken);
|
||||||
|
|
||||||
|
final FileSystem fs = FileSystem.get(getHadoopConfiguration(hdfsuri));
|
||||||
|
|
||||||
|
archive(fs, inputPath, outputPath, archiveThresholdInDays);
|
||||||
|
|
||||||
|
}
|
||||||
|
|
||||||
|
private static void archive(FileSystem fs, String inputPath, String outputPath, Integer archiveThresholdInDays)
|
||||||
|
throws IOException {
|
||||||
|
|
||||||
|
SequenceFile.Reader fr = SWHUtils.getSequenceFileReader(fs, inputPath);
|
||||||
|
SequenceFile.Writer fw = SWHUtils.getSequenceFileWriter(fs, outputPath);
|
||||||
|
|
||||||
|
// Create key and value objects to hold data
|
||||||
|
Text repoUrl = new Text();
|
||||||
|
Text lastVisitData = new Text();
|
||||||
|
|
||||||
|
// Read key-value pairs from the SequenceFile and handle appropriately
|
||||||
|
while (fr.next(repoUrl, lastVisitData)) {
|
||||||
|
|
||||||
|
String response = null;
|
||||||
|
try {
|
||||||
|
response = handleRecord(repoUrl.toString(), lastVisitData.toString(), archiveThresholdInDays);
|
||||||
|
} catch (java.text.ParseException e) {
|
||||||
|
log.error("Could not handle record with repo Url: {}", repoUrl.toString());
|
||||||
|
throw new RuntimeException(e);
|
||||||
|
}
|
||||||
|
|
||||||
|
// response is equal to null when no need for request
|
||||||
|
if (response != null) {
|
||||||
|
SWHUtils.appendToSequenceFile(fw, repoUrl.toString(), response);
|
||||||
|
}
|
||||||
|
|
||||||
|
}
|
||||||
|
|
||||||
|
// Close readers
|
||||||
|
fw.close();
|
||||||
|
fr.close();
|
||||||
|
}
|
||||||
|
|
||||||
|
public static String handleRecord(String repoUrl, String lastVisitData, Integer archiveThresholdInDays)
|
||||||
|
throws IOException, java.text.ParseException {
|
||||||
|
|
||||||
|
log.info("{ Key: {}, Value: {} }", repoUrl, lastVisitData);
|
||||||
|
|
||||||
|
LastVisitData lastVisit = OBJECT_MAPPER.readValue(lastVisitData, LastVisitData.class);
|
||||||
|
|
||||||
|
// a previous attempt for archival has been made, and repository URL was not found
|
||||||
|
// avoid performing the same archive request again
|
||||||
|
if (lastVisit.getStatus() != null &&
|
||||||
|
lastVisit.getStatus().equals(SWHConstants.VISIT_STATUS_NOT_FOUND)) {
|
||||||
|
|
||||||
|
log.info("Avoid request -- previous archive request returned NOT_FOUND");
|
||||||
|
return null;
|
||||||
|
}
|
||||||
|
|
||||||
|
// if we have last visit data
|
||||||
|
if (lastVisit.getSnapshot() != null) {
|
||||||
|
|
||||||
|
String cleanDate = GraphCleaningFunctions.cleanDate(lastVisit.getDate());
|
||||||
|
|
||||||
|
// and the last visit date can be parsed
|
||||||
|
if (cleanDate != null) {
|
||||||
|
|
||||||
|
SimpleDateFormat formatter = new SimpleDateFormat(ModelSupport.DATE_FORMAT);
|
||||||
|
Date lastVisitDate = formatter.parse(cleanDate);
|
||||||
|
|
||||||
|
// OR last visit time < (now() - archiveThresholdInDays)
|
||||||
|
long diffInMillies = Math.abs((new Date()).getTime() - lastVisitDate.getTime());
|
||||||
|
long diffInDays = TimeUnit.DAYS.convert(diffInMillies, TimeUnit.MILLISECONDS);
|
||||||
|
log.info("Date diff from now (in days): {}", diffInDays);
|
||||||
|
|
||||||
|
// do not perform a request, if the last visit date is no older than $archiveThresholdInDays
|
||||||
|
if (archiveThresholdInDays >= diffInDays) {
|
||||||
|
log.info("Avoid request -- no older than {} days", archiveThresholdInDays);
|
||||||
|
return null;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// ELSE perform an archive request
|
||||||
|
log.info("Perform archive request for: {}", repoUrl);
|
||||||
|
|
||||||
|
// if last visit data are available, re-use version control type,
|
||||||
|
// else use the default one (i.e., git)
|
||||||
|
String visitType = Optional
|
||||||
|
.ofNullable(lastVisit.getType())
|
||||||
|
.orElse(SWHConstants.DEFAULT_VISIT_TYPE);
|
||||||
|
|
||||||
|
URL url = new URL(String.format(SWHConstants.SWH_ARCHIVE_URL, visitType, repoUrl.trim()));
|
||||||
|
|
||||||
|
log.info("Sending archive request: {}", url);
|
||||||
|
|
||||||
|
String response;
|
||||||
|
try {
|
||||||
|
response = swhConnection.call(url.toString());
|
||||||
|
} catch (CollectorException e) {
|
||||||
|
log.error("Error in request: {}", url);
|
||||||
|
response = "{}";
|
||||||
|
}
|
||||||
|
|
||||||
|
return response;
|
||||||
|
}
|
||||||
|
|
||||||
|
}
|
|
@ -0,0 +1,119 @@
|
||||||
|
|
||||||
|
package eu.dnetlib.dhp.swh;
|
||||||
|
|
||||||
|
import static eu.dnetlib.dhp.utils.DHPUtils.getHadoopConfiguration;
|
||||||
|
|
||||||
|
import java.io.BufferedReader;
|
||||||
|
import java.io.IOException;
|
||||||
|
import java.net.URL;
|
||||||
|
|
||||||
|
import org.apache.commons.cli.ParseException;
|
||||||
|
import org.apache.commons.io.IOUtils;
|
||||||
|
import org.apache.hadoop.fs.FileStatus;
|
||||||
|
import org.apache.hadoop.fs.FileSystem;
|
||||||
|
import org.apache.hadoop.fs.Path;
|
||||||
|
import org.apache.hadoop.io.SequenceFile;
|
||||||
|
import org.slf4j.Logger;
|
||||||
|
import org.slf4j.LoggerFactory;
|
||||||
|
|
||||||
|
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||||
|
import eu.dnetlib.dhp.common.collection.CollectorException;
|
||||||
|
import eu.dnetlib.dhp.common.collection.HttpClientParams;
|
||||||
|
import eu.dnetlib.dhp.swh.utils.SWHConnection;
|
||||||
|
import eu.dnetlib.dhp.swh.utils.SWHConstants;
|
||||||
|
import eu.dnetlib.dhp.swh.utils.SWHUtils;
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Given a file with software repository URLs, this class
|
||||||
|
* collects last visit data from the Software Heritage API.
|
||||||
|
*
|
||||||
|
* @author Serafeim Chatzopoulos
|
||||||
|
*/
|
||||||
|
public class CollectLastVisitRepositoryData {
|
||||||
|
|
||||||
|
private static final Logger log = LoggerFactory.getLogger(CollectLastVisitRepositoryData.class);
|
||||||
|
private static SWHConnection swhConnection = null;
|
||||||
|
|
||||||
|
public static void main(final String[] args)
|
||||||
|
throws IOException, ParseException {
|
||||||
|
final ArgumentApplicationParser argumentParser = new ArgumentApplicationParser(
|
||||||
|
IOUtils
|
||||||
|
.toString(
|
||||||
|
CollectLastVisitRepositoryData.class
|
||||||
|
.getResourceAsStream(
|
||||||
|
"/eu/dnetlib/dhp/swh/input_collect_last_visit_repository_data.json")));
|
||||||
|
argumentParser.parseArgument(args);
|
||||||
|
|
||||||
|
log.info("Java Xmx: {}m", Runtime.getRuntime().maxMemory() / (1024 * 1024));
|
||||||
|
|
||||||
|
final String hdfsuri = argumentParser.get("namenode");
|
||||||
|
log.info("hdfsURI: {}", hdfsuri);
|
||||||
|
|
||||||
|
final String inputPath = argumentParser.get("softwareCodeRepositoryURLs");
|
||||||
|
log.info("inputPath: {}", inputPath);
|
||||||
|
|
||||||
|
final String outputPath = argumentParser.get("lastVisitsPath");
|
||||||
|
log.info("outputPath: {}", outputPath);
|
||||||
|
|
||||||
|
final String apiAccessToken = argumentParser.get("apiAccessToken");
|
||||||
|
log.info("apiAccessToken: {}", apiAccessToken);
|
||||||
|
|
||||||
|
final HttpClientParams clientParams = SWHUtils.getClientParams(argumentParser);
|
||||||
|
|
||||||
|
swhConnection = new SWHConnection(clientParams, apiAccessToken);
|
||||||
|
|
||||||
|
final FileSystem fs = FileSystem.get(getHadoopConfiguration(hdfsuri));
|
||||||
|
|
||||||
|
collect(fs, inputPath, outputPath);
|
||||||
|
|
||||||
|
fs.close();
|
||||||
|
}
|
||||||
|
|
||||||
|
private static void collect(FileSystem fs, String inputPath, String outputPath)
|
||||||
|
throws IOException {
|
||||||
|
|
||||||
|
SequenceFile.Writer fw = SWHUtils.getSequenceFileWriter(fs, outputPath);
|
||||||
|
|
||||||
|
// Specify the HDFS directory path you want to read
|
||||||
|
Path directoryPath = new Path(inputPath);
|
||||||
|
|
||||||
|
// List all files in the directory
|
||||||
|
FileStatus[] partStatuses = fs.listStatus(directoryPath);
|
||||||
|
|
||||||
|
for (FileStatus partStatus : partStatuses) {
|
||||||
|
|
||||||
|
// Check if it's a file (not a directory)
|
||||||
|
if (partStatus.isFile()) {
|
||||||
|
handleFile(fs, partStatus.getPath(), fw);
|
||||||
|
}
|
||||||
|
|
||||||
|
}
|
||||||
|
|
||||||
|
fw.close();
|
||||||
|
}
|
||||||
|
|
||||||
|
private static void handleFile(FileSystem fs, Path partInputPath, SequenceFile.Writer fw)
|
||||||
|
throws IOException {
|
||||||
|
|
||||||
|
BufferedReader br = SWHUtils.getFileReader(fs, partInputPath);
|
||||||
|
|
||||||
|
String repoUrl;
|
||||||
|
while ((repoUrl = br.readLine()) != null) {
|
||||||
|
|
||||||
|
URL url = new URL(String.format(SWHConstants.SWH_LATEST_VISIT_URL, repoUrl.trim()));
|
||||||
|
|
||||||
|
String response;
|
||||||
|
try {
|
||||||
|
response = swhConnection.call(url.toString());
|
||||||
|
} catch (CollectorException e) {
|
||||||
|
log.error("Error in request: {}", url);
|
||||||
|
response = "{}";
|
||||||
|
}
|
||||||
|
|
||||||
|
SWHUtils.appendToSequenceFile(fw, repoUrl, response);
|
||||||
|
}
|
||||||
|
|
||||||
|
br.close();
|
||||||
|
}
|
||||||
|
|
||||||
|
}
|
|
@ -0,0 +1,93 @@
|
||||||
|
|
||||||
|
package eu.dnetlib.dhp.swh;
|
||||||
|
|
||||||
|
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
|
||||||
|
|
||||||
|
import java.util.Optional;
|
||||||
|
|
||||||
|
import org.apache.commons.io.IOUtils;
|
||||||
|
import org.apache.spark.SparkConf;
|
||||||
|
import org.apache.spark.sql.Dataset;
|
||||||
|
import org.apache.spark.sql.Row;
|
||||||
|
import org.apache.spark.sql.SaveMode;
|
||||||
|
import org.apache.spark.sql.SparkSession;
|
||||||
|
import org.slf4j.Logger;
|
||||||
|
import org.slf4j.LoggerFactory;
|
||||||
|
|
||||||
|
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||||
|
import eu.dnetlib.dhp.schema.oaf.Result;
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Collects unique software repository URLs in the Graph using Hive
|
||||||
|
*
|
||||||
|
* @author Serafeim Chatzopoulos
|
||||||
|
*/
|
||||||
|
public class CollectSoftwareRepositoryURLs {
|
||||||
|
|
||||||
|
private static final Logger log = LoggerFactory.getLogger(CollectSoftwareRepositoryURLs.class);
|
||||||
|
|
||||||
|
public static <I extends Result> void main(String[] args) throws Exception {
|
||||||
|
|
||||||
|
String jsonConfiguration = IOUtils
|
||||||
|
.toString(
|
||||||
|
CollectSoftwareRepositoryURLs.class
|
||||||
|
.getResourceAsStream("/eu/dnetlib/dhp/swh/input_collect_software_repository_urls.json"));
|
||||||
|
|
||||||
|
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
|
||||||
|
parser.parseArgument(args);
|
||||||
|
|
||||||
|
final Boolean isSparkSessionManaged = Optional
|
||||||
|
.ofNullable(parser.get("isSparkSessionManaged"))
|
||||||
|
.map(Boolean::valueOf)
|
||||||
|
.orElse(Boolean.TRUE);
|
||||||
|
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
|
||||||
|
|
||||||
|
final String hiveDbName = parser.get("hiveDbName");
|
||||||
|
log.info("hiveDbName: {}", hiveDbName);
|
||||||
|
|
||||||
|
final String outputPath = parser.get("softwareCodeRepositoryURLs");
|
||||||
|
log.info("softwareCodeRepositoryURLs: {}", outputPath);
|
||||||
|
|
||||||
|
final String hiveMetastoreUris = parser.get("hiveMetastoreUris");
|
||||||
|
log.info("hiveMetastoreUris: {}", hiveMetastoreUris);
|
||||||
|
|
||||||
|
final Integer softwareLimit = Integer.parseInt(parser.get("softwareLimit"));
|
||||||
|
log.info("softwareLimit: {}", softwareLimit);
|
||||||
|
|
||||||
|
SparkConf conf = new SparkConf();
|
||||||
|
conf.set("hive.metastore.uris", hiveMetastoreUris);
|
||||||
|
|
||||||
|
runWithSparkHiveSession(
|
||||||
|
conf,
|
||||||
|
isSparkSessionManaged,
|
||||||
|
spark -> {
|
||||||
|
doRun(spark, hiveDbName, softwareLimit, outputPath);
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|
||||||
|
private static <I extends Result> void doRun(SparkSession spark, String hiveDbName, Integer limit,
|
||||||
|
String outputPath) {
|
||||||
|
|
||||||
|
String queryTemplate = "SELECT distinct coderepositoryurl.value " +
|
||||||
|
"FROM %s.software " +
|
||||||
|
"WHERE coderepositoryurl.value IS NOT NULL " +
|
||||||
|
"AND datainfo.deletedbyinference = FALSE " +
|
||||||
|
"AND datainfo.invisible = FALSE ";
|
||||||
|
|
||||||
|
if (limit != null) {
|
||||||
|
queryTemplate += String.format("LIMIT %s", limit);
|
||||||
|
}
|
||||||
|
|
||||||
|
String query = String.format(queryTemplate, hiveDbName);
|
||||||
|
|
||||||
|
log.info("Hive query to fetch software code URLs: {}", query);
|
||||||
|
|
||||||
|
Dataset<Row> df = spark.sql(query);
|
||||||
|
|
||||||
|
// write distinct repository URLs
|
||||||
|
df
|
||||||
|
.write()
|
||||||
|
.mode(SaveMode.Overwrite)
|
||||||
|
.csv(outputPath);
|
||||||
|
}
|
||||||
|
}
|
|
@ -0,0 +1,185 @@
|
||||||
|
|
||||||
|
package eu.dnetlib.dhp.swh;
|
||||||
|
|
||||||
|
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
|
||||||
|
import static org.apache.spark.sql.functions.col;
|
||||||
|
|
||||||
|
import java.io.Serializable;
|
||||||
|
import java.util.Arrays;
|
||||||
|
import java.util.List;
|
||||||
|
import java.util.Optional;
|
||||||
|
|
||||||
|
import org.apache.commons.io.IOUtils;
|
||||||
|
import org.apache.hadoop.io.Text;
|
||||||
|
import org.apache.hadoop.io.compress.GzipCodec;
|
||||||
|
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
|
||||||
|
import org.apache.spark.SparkConf;
|
||||||
|
import org.apache.spark.api.java.JavaPairRDD;
|
||||||
|
import org.apache.spark.api.java.JavaRDD;
|
||||||
|
import org.apache.spark.api.java.JavaSparkContext;
|
||||||
|
import org.apache.spark.api.java.function.MapFunction;
|
||||||
|
import org.apache.spark.sql.*;
|
||||||
|
import org.apache.spark.sql.Dataset;
|
||||||
|
import org.apache.spark.sql.types.DataTypes;
|
||||||
|
import org.apache.spark.sql.types.StructField;
|
||||||
|
import org.apache.spark.sql.types.StructType;
|
||||||
|
import org.slf4j.Logger;
|
||||||
|
import org.slf4j.LoggerFactory;
|
||||||
|
|
||||||
|
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||||
|
|
||||||
|
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||||
|
import eu.dnetlib.dhp.schema.action.AtomicAction;
|
||||||
|
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||||
|
import eu.dnetlib.dhp.schema.oaf.*;
|
||||||
|
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
|
||||||
|
import eu.dnetlib.dhp.swh.models.LastVisitData;
|
||||||
|
import eu.dnetlib.dhp.swh.utils.SWHConstants;
|
||||||
|
import scala.Tuple2;
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Creates action sets for Software Heritage data
|
||||||
|
*
|
||||||
|
* @author Serafeim Chatzopoulos
|
||||||
|
*/
|
||||||
|
public class PrepareSWHActionsets {
|
||||||
|
|
||||||
|
private static final Logger log = LoggerFactory.getLogger(PrepareSWHActionsets.class);
|
||||||
|
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
||||||
|
|
||||||
|
public static <I extends Result> void main(String[] args) throws Exception {
|
||||||
|
|
||||||
|
String jsonConfiguration = IOUtils
|
||||||
|
.toString(
|
||||||
|
PrepareSWHActionsets.class
|
||||||
|
.getResourceAsStream(
|
||||||
|
"/eu/dnetlib/dhp/swh/input_prepare_swh_actionsets.json"));
|
||||||
|
|
||||||
|
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
|
||||||
|
parser.parseArgument(args);
|
||||||
|
|
||||||
|
final Boolean isSparkSessionManaged = Optional
|
||||||
|
.ofNullable(parser.get("isSparkSessionManaged"))
|
||||||
|
.map(Boolean::valueOf)
|
||||||
|
.orElse(Boolean.TRUE);
|
||||||
|
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
|
||||||
|
|
||||||
|
final String inputPath = parser.get("lastVisitsPath");
|
||||||
|
log.info("inputPath: {}", inputPath);
|
||||||
|
|
||||||
|
final String softwareInputPath = parser.get("softwareInputPath");
|
||||||
|
log.info("softwareInputPath: {}", softwareInputPath);
|
||||||
|
|
||||||
|
final String outputPath = parser.get("actionsetsPath");
|
||||||
|
log.info("outputPath: {}", outputPath);
|
||||||
|
|
||||||
|
SparkConf conf = new SparkConf();
|
||||||
|
|
||||||
|
runWithSparkSession(
|
||||||
|
conf,
|
||||||
|
isSparkSessionManaged,
|
||||||
|
spark -> {
|
||||||
|
JavaPairRDD<Text, Text> softwareRDD = prepareActionsets(spark, inputPath, softwareInputPath);
|
||||||
|
softwareRDD
|
||||||
|
.saveAsHadoopFile(
|
||||||
|
outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, GzipCodec.class);
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|
||||||
|
private static Dataset<Row> loadSWHData(SparkSession spark, String inputPath) {
|
||||||
|
|
||||||
|
JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||||
|
|
||||||
|
// read from file and transform to <origin, snapshotId> tuples
|
||||||
|
// Note: snapshot id is the SWH id for us
|
||||||
|
JavaRDD<Row> swhRDD = sc
|
||||||
|
.sequenceFile(inputPath, Text.class, Text.class)
|
||||||
|
.map(t -> t._2().toString())
|
||||||
|
.map(t -> OBJECT_MAPPER.readValue(t, LastVisitData.class))
|
||||||
|
.filter(t -> t.getOrigin() != null && t.getSnapshot() != null) // response from SWH API is empty if repo URL
|
||||||
|
// was not found
|
||||||
|
.map(item -> RowFactory.create(item.getOrigin(), item.getSnapshot()));
|
||||||
|
|
||||||
|
// convert RDD to 2-column DF
|
||||||
|
List<StructField> fields = Arrays
|
||||||
|
.asList(
|
||||||
|
DataTypes.createStructField("repoUrl", DataTypes.StringType, true),
|
||||||
|
DataTypes.createStructField("swhId", DataTypes.StringType, true));
|
||||||
|
StructType schema = DataTypes.createStructType(fields);
|
||||||
|
|
||||||
|
return spark.createDataFrame(swhRDD, schema);
|
||||||
|
}
|
||||||
|
|
||||||
|
private static Dataset<Row> loadGraphSoftwareData(SparkSession spark, String softwareInputPath) {
|
||||||
|
return spark
|
||||||
|
.read()
|
||||||
|
.textFile(softwareInputPath)
|
||||||
|
.map(
|
||||||
|
(MapFunction<String, Software>) t -> OBJECT_MAPPER.readValue(t, Software.class),
|
||||||
|
Encoders.bean(Software.class))
|
||||||
|
.filter(t -> t.getCodeRepositoryUrl() != null)
|
||||||
|
.select(col("id"), col("codeRepositoryUrl.value").as("repoUrl"));
|
||||||
|
}
|
||||||
|
|
||||||
|
private static <I extends Software> JavaPairRDD<Text, Text> prepareActionsets(SparkSession spark, String inputPath,
|
||||||
|
String softwareInputPath) {
|
||||||
|
|
||||||
|
Dataset<Row> swhDF = loadSWHData(spark, inputPath);
|
||||||
|
// swhDF.show(false);
|
||||||
|
|
||||||
|
Dataset<Row> graphSoftwareDF = loadGraphSoftwareData(spark, softwareInputPath);
|
||||||
|
// graphSoftwareDF.show(5);
|
||||||
|
|
||||||
|
Dataset<Row> joinedDF = graphSoftwareDF.join(swhDF, "repoUrl").select("id", "swhid");
|
||||||
|
// joinedDF.show(false);
|
||||||
|
|
||||||
|
return joinedDF.map((MapFunction<Row, Software>) row -> {
|
||||||
|
|
||||||
|
Software s = new Software();
|
||||||
|
|
||||||
|
// set openaire id
|
||||||
|
s.setId(row.getString(row.fieldIndex("id")));
|
||||||
|
|
||||||
|
// set swh id
|
||||||
|
Qualifier qualifier = OafMapperUtils
|
||||||
|
.qualifier(
|
||||||
|
SWHConstants.SWHID,
|
||||||
|
SWHConstants.SWHID_CLASSNAME,
|
||||||
|
ModelConstants.DNET_PID_TYPES,
|
||||||
|
ModelConstants.DNET_PID_TYPES);
|
||||||
|
|
||||||
|
DataInfo dataInfo = OafMapperUtils
|
||||||
|
.dataInfo(
|
||||||
|
false,
|
||||||
|
null,
|
||||||
|
false,
|
||||||
|
false,
|
||||||
|
ModelConstants.PROVENANCE_ACTION_SET_QUALIFIER,
|
||||||
|
"");
|
||||||
|
|
||||||
|
s
|
||||||
|
.setPid(
|
||||||
|
Arrays
|
||||||
|
.asList(
|
||||||
|
OafMapperUtils
|
||||||
|
.structuredProperty(
|
||||||
|
String.format("swh:1:snp:%s", row.getString(row.fieldIndex("swhid"))),
|
||||||
|
qualifier,
|
||||||
|
dataInfo)));
|
||||||
|
|
||||||
|
// add SWH in the `collectedFrom` field
|
||||||
|
KeyValue kv = new KeyValue();
|
||||||
|
kv.setKey(SWHConstants.SWH_ID);
|
||||||
|
kv.setValue(SWHConstants.SWH_NAME);
|
||||||
|
|
||||||
|
s.setCollectedfrom(Arrays.asList(kv));
|
||||||
|
|
||||||
|
return s;
|
||||||
|
}, Encoders.bean(Software.class))
|
||||||
|
.toJavaRDD()
|
||||||
|
.map(p -> new AtomicAction(Software.class, p))
|
||||||
|
.mapToPair(
|
||||||
|
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
|
||||||
|
new Text(OBJECT_MAPPER.writeValueAsString(aa))));
|
||||||
|
}
|
||||||
|
}
|
|
@ -0,0 +1,71 @@
|
||||||
|
|
||||||
|
package eu.dnetlib.dhp.swh.models;
|
||||||
|
|
||||||
|
import java.io.Serializable;
|
||||||
|
|
||||||
|
import com.cloudera.com.fasterxml.jackson.annotation.JsonProperty;
|
||||||
|
import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
|
||||||
|
|
||||||
|
@JsonIgnoreProperties(ignoreUnknown = true)
|
||||||
|
public class LastVisitData implements Serializable {
|
||||||
|
|
||||||
|
private String origin;
|
||||||
|
private String type;
|
||||||
|
private String date;
|
||||||
|
|
||||||
|
@JsonProperty("snapshot")
|
||||||
|
private String snapshotId;
|
||||||
|
|
||||||
|
private String status;
|
||||||
|
|
||||||
|
public String getType() {
|
||||||
|
return type;
|
||||||
|
}
|
||||||
|
|
||||||
|
public void setType(String type) {
|
||||||
|
this.type = type;
|
||||||
|
}
|
||||||
|
|
||||||
|
public String getDate() {
|
||||||
|
return date;
|
||||||
|
}
|
||||||
|
|
||||||
|
public void setDate(String date) {
|
||||||
|
this.date = date;
|
||||||
|
}
|
||||||
|
|
||||||
|
public String getSnapshot() {
|
||||||
|
return snapshotId;
|
||||||
|
}
|
||||||
|
|
||||||
|
public void setSnapshot(String snapshotId) {
|
||||||
|
this.snapshotId = snapshotId;
|
||||||
|
}
|
||||||
|
|
||||||
|
public String getStatus() {
|
||||||
|
return status;
|
||||||
|
}
|
||||||
|
|
||||||
|
public void setStatus(String status) {
|
||||||
|
this.status = status;
|
||||||
|
}
|
||||||
|
|
||||||
|
public String getOrigin() {
|
||||||
|
return origin;
|
||||||
|
}
|
||||||
|
|
||||||
|
public void setOrigin(String origin) {
|
||||||
|
this.origin = origin;
|
||||||
|
}
|
||||||
|
|
||||||
|
@Override
|
||||||
|
public String toString() {
|
||||||
|
return "LastVisitData{" +
|
||||||
|
"origin='" + origin + '\'' +
|
||||||
|
", type='" + type + '\'' +
|
||||||
|
", date='" + date + '\'' +
|
||||||
|
", snapshotId='" + snapshotId + '\'' +
|
||||||
|
", status='" + status + '\'' +
|
||||||
|
'}';
|
||||||
|
}
|
||||||
|
}
|
|
@ -0,0 +1,40 @@
|
||||||
|
|
||||||
|
package eu.dnetlib.dhp.swh.utils;
|
||||||
|
|
||||||
|
import java.util.HashMap;
|
||||||
|
import java.util.Map;
|
||||||
|
|
||||||
|
import org.apache.http.HttpHeaders;
|
||||||
|
|
||||||
|
import eu.dnetlib.dhp.common.collection.CollectorException;
|
||||||
|
import eu.dnetlib.dhp.common.collection.HttpClientParams;
|
||||||
|
import eu.dnetlib.dhp.common.collection.HttpConnector2;
|
||||||
|
|
||||||
|
public class SWHConnection {
|
||||||
|
|
||||||
|
HttpConnector2 conn;
|
||||||
|
|
||||||
|
public SWHConnection(HttpClientParams clientParams, String accessToken) {
|
||||||
|
|
||||||
|
// set custom headers
|
||||||
|
Map<String, String> headers = new HashMap<String, String>() {
|
||||||
|
{
|
||||||
|
put(HttpHeaders.ACCEPT, "application/json");
|
||||||
|
if (accessToken != null) {
|
||||||
|
put(HttpHeaders.AUTHORIZATION, String.format("Bearer %s", accessToken));
|
||||||
|
}
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
|
clientParams.setHeaders(headers);
|
||||||
|
|
||||||
|
// create http connector
|
||||||
|
conn = new HttpConnector2(clientParams);
|
||||||
|
|
||||||
|
}
|
||||||
|
|
||||||
|
public String call(String url) throws CollectorException {
|
||||||
|
return conn.getInputSource(url);
|
||||||
|
}
|
||||||
|
|
||||||
|
}
|
|
@ -0,0 +1,21 @@
|
||||||
|
|
||||||
|
package eu.dnetlib.dhp.swh.utils;
|
||||||
|
|
||||||
|
public class SWHConstants {
|
||||||
|
public static final String SWH_LATEST_VISIT_URL = "https://archive.softwareheritage.org/api/1/origin/%s/visit/latest/";
|
||||||
|
|
||||||
|
public static final String SWH_ARCHIVE_URL = "https://archive.softwareheritage.org/api/1/origin/save/%s/url/%s/";
|
||||||
|
|
||||||
|
public static final String DEFAULT_VISIT_TYPE = "git";
|
||||||
|
|
||||||
|
public static final String VISIT_STATUS_NOT_FOUND = "not_found";
|
||||||
|
|
||||||
|
public static final String SWHID = "swhid";
|
||||||
|
|
||||||
|
public static final String SWHID_CLASSNAME = "Software Hash Identifier";
|
||||||
|
|
||||||
|
public static final String SWH_ID = "10|openaire____::dbfd07503aaa1ed31beed7dec942f3f4";
|
||||||
|
|
||||||
|
public static final String SWH_NAME = "Software Heritage";
|
||||||
|
|
||||||
|
}
|
|
@ -0,0 +1,95 @@
|
||||||
|
|
||||||
|
package eu.dnetlib.dhp.swh.utils;
|
||||||
|
|
||||||
|
import static eu.dnetlib.dhp.common.Constants.*;
|
||||||
|
|
||||||
|
import java.io.BufferedReader;
|
||||||
|
import java.io.IOException;
|
||||||
|
import java.io.InputStreamReader;
|
||||||
|
import java.nio.charset.StandardCharsets;
|
||||||
|
import java.util.Optional;
|
||||||
|
|
||||||
|
import org.apache.hadoop.fs.FSDataInputStream;
|
||||||
|
import org.apache.hadoop.fs.FileSystem;
|
||||||
|
import org.apache.hadoop.fs.Path;
|
||||||
|
import org.apache.hadoop.io.SequenceFile;
|
||||||
|
import org.apache.hadoop.io.Text;
|
||||||
|
import org.slf4j.Logger;
|
||||||
|
import org.slf4j.LoggerFactory;
|
||||||
|
|
||||||
|
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||||
|
import eu.dnetlib.dhp.common.collection.HttpClientParams;
|
||||||
|
|
||||||
|
public class SWHUtils {
|
||||||
|
|
||||||
|
private static final Logger log = LoggerFactory.getLogger(SWHUtils.class);
|
||||||
|
|
||||||
|
public static HttpClientParams getClientParams(ArgumentApplicationParser argumentParser) {
|
||||||
|
|
||||||
|
final HttpClientParams clientParams = new HttpClientParams();
|
||||||
|
clientParams
|
||||||
|
.setMaxNumberOfRetry(
|
||||||
|
Optional
|
||||||
|
.ofNullable(argumentParser.get(MAX_NUMBER_OF_RETRY))
|
||||||
|
.map(Integer::parseInt)
|
||||||
|
.orElse(HttpClientParams._maxNumberOfRetry));
|
||||||
|
log.info("maxNumberOfRetry is {}", clientParams.getMaxNumberOfRetry());
|
||||||
|
|
||||||
|
clientParams
|
||||||
|
.setRequestDelay(
|
||||||
|
Optional
|
||||||
|
.ofNullable(argumentParser.get(REQUEST_DELAY))
|
||||||
|
.map(Integer::parseInt)
|
||||||
|
.orElse(HttpClientParams._requestDelay));
|
||||||
|
log.info("requestDelay is {}", clientParams.getRequestDelay());
|
||||||
|
|
||||||
|
clientParams
|
||||||
|
.setRetryDelay(
|
||||||
|
Optional
|
||||||
|
.ofNullable(argumentParser.get(RETRY_DELAY))
|
||||||
|
.map(Integer::parseInt)
|
||||||
|
.orElse(HttpClientParams._retryDelay));
|
||||||
|
log.info("retryDelay is {}", clientParams.getRetryDelay());
|
||||||
|
|
||||||
|
clientParams
|
||||||
|
.setRequestMethod(
|
||||||
|
Optional
|
||||||
|
.ofNullable(argumentParser.get(REQUEST_METHOD))
|
||||||
|
.orElse(HttpClientParams._requestMethod));
|
||||||
|
log.info("requestMethod is {}", clientParams.getRequestMethod());
|
||||||
|
|
||||||
|
return clientParams;
|
||||||
|
}
|
||||||
|
|
||||||
|
public static BufferedReader getFileReader(FileSystem fs, Path inputPath) throws IOException {
|
||||||
|
FSDataInputStream inputStream = fs.open(inputPath);
|
||||||
|
return new BufferedReader(
|
||||||
|
new InputStreamReader(inputStream, StandardCharsets.UTF_8));
|
||||||
|
}
|
||||||
|
|
||||||
|
public static SequenceFile.Writer getSequenceFileWriter(FileSystem fs, String outputPath) throws IOException {
|
||||||
|
return SequenceFile
|
||||||
|
.createWriter(
|
||||||
|
fs.getConf(),
|
||||||
|
SequenceFile.Writer.file(new Path(outputPath)),
|
||||||
|
SequenceFile.Writer.keyClass(Text.class),
|
||||||
|
SequenceFile.Writer.valueClass(Text.class));
|
||||||
|
}
|
||||||
|
|
||||||
|
public static SequenceFile.Reader getSequenceFileReader(FileSystem fs, String inputPath) throws IOException {
|
||||||
|
Path filePath = new Path(inputPath);
|
||||||
|
SequenceFile.Reader.Option fileOption = SequenceFile.Reader.file(filePath);
|
||||||
|
|
||||||
|
return new SequenceFile.Reader(fs.getConf(), fileOption);
|
||||||
|
}
|
||||||
|
|
||||||
|
public static void appendToSequenceFile(SequenceFile.Writer fw, String keyStr, String valueStr) throws IOException {
|
||||||
|
Text key = new Text();
|
||||||
|
key.set(keyStr);
|
||||||
|
|
||||||
|
Text value = new Text();
|
||||||
|
value.set(valueStr);
|
||||||
|
|
||||||
|
fw.append(key, value);
|
||||||
|
}
|
||||||
|
}
|
|
@ -0,0 +1,56 @@
|
||||||
|
[
|
||||||
|
{
|
||||||
|
"paramName": "n",
|
||||||
|
"paramLongName": "namenode",
|
||||||
|
"paramDescription": "the Name Node URI",
|
||||||
|
"paramRequired": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "lv",
|
||||||
|
"paramLongName": "lastVisitsPath",
|
||||||
|
"paramDescription": "the URL where to store last visits data",
|
||||||
|
"paramRequired": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "arp",
|
||||||
|
"paramLongName": "archiveRequestsPath",
|
||||||
|
"paramDescription": "the URL where to store the responses of the archive requests",
|
||||||
|
"paramRequired": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "mnr",
|
||||||
|
"paramLongName": "maxNumberOfRetry",
|
||||||
|
"paramDescription": "the maximum number of admitted connection retries",
|
||||||
|
"paramRequired": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "rqd",
|
||||||
|
"paramLongName": "requestDelay",
|
||||||
|
"paramDescription": "the delay (ms) between requests",
|
||||||
|
"paramRequired": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "rtd",
|
||||||
|
"paramLongName": "retryDelay",
|
||||||
|
"paramDescription": "the delay (ms) between retries",
|
||||||
|
"paramRequired": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "rm",
|
||||||
|
"paramLongName": "requestMethod",
|
||||||
|
"paramDescription": "the method of the requests to perform",
|
||||||
|
"paramRequired": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "atid",
|
||||||
|
"paramLongName": "archiveThresholdInDays",
|
||||||
|
"paramDescription": "the thershold (in days) required to issue an archive request",
|
||||||
|
"paramRequired": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "aat",
|
||||||
|
"paramLongName": "apiAccessToken",
|
||||||
|
"paramDescription": "the API access token of the SWH API",
|
||||||
|
"paramRequired": false
|
||||||
|
}
|
||||||
|
]
|
|
@ -0,0 +1,50 @@
|
||||||
|
[
|
||||||
|
{
|
||||||
|
"paramName": "n",
|
||||||
|
"paramLongName": "namenode",
|
||||||
|
"paramDescription": "the Name Node URI",
|
||||||
|
"paramRequired": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "scr",
|
||||||
|
"paramLongName": "softwareCodeRepositoryURLs",
|
||||||
|
"paramDescription": "the URL from where to read software repository URLs",
|
||||||
|
"paramRequired": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "lv",
|
||||||
|
"paramLongName": "lastVisitsPath",
|
||||||
|
"paramDescription": "the URL where to store last visits data",
|
||||||
|
"paramRequired": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "mnr",
|
||||||
|
"paramLongName": "maxNumberOfRetry",
|
||||||
|
"paramDescription": "the maximum number of admitted connection retries",
|
||||||
|
"paramRequired": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "rqd",
|
||||||
|
"paramLongName": "requestDelay",
|
||||||
|
"paramDescription": "the delay (ms) between requests",
|
||||||
|
"paramRequired": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "rtd",
|
||||||
|
"paramLongName": "retryDelay",
|
||||||
|
"paramDescription": "the delay (ms) between retries",
|
||||||
|
"paramRequired": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "rm",
|
||||||
|
"paramLongName": "requestMethod",
|
||||||
|
"paramDescription": "the method of the requests to perform",
|
||||||
|
"paramRequired": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "aat",
|
||||||
|
"paramLongName": "apiAccessToken",
|
||||||
|
"paramDescription": "the API access token of the SWH API",
|
||||||
|
"paramRequired": false
|
||||||
|
}
|
||||||
|
]
|
|
@ -0,0 +1,32 @@
|
||||||
|
[
|
||||||
|
{
|
||||||
|
"paramName": "issm",
|
||||||
|
"paramLongName": "isSparkSessionManaged",
|
||||||
|
"paramDescription": "when true will stop SparkSession after job execution",
|
||||||
|
"paramRequired": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "scr",
|
||||||
|
"paramLongName": "softwareCodeRepositoryURLs",
|
||||||
|
"paramDescription": "the URL where to store software repository URLs",
|
||||||
|
"paramRequired": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "db",
|
||||||
|
"paramLongName": "hiveDbName",
|
||||||
|
"paramDescription": "the target hive database name",
|
||||||
|
"paramRequired": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "hmu",
|
||||||
|
"paramLongName": "hiveMetastoreUris",
|
||||||
|
"paramDescription": "the hive metastore uris",
|
||||||
|
"paramRequired": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "slim",
|
||||||
|
"paramLongName": "softwareLimit",
|
||||||
|
"paramDescription": "limit on the number of software repo URL to fetch",
|
||||||
|
"paramRequired": false
|
||||||
|
}
|
||||||
|
]
|
|
@ -0,0 +1,26 @@
|
||||||
|
[
|
||||||
|
{
|
||||||
|
"paramName": "issm",
|
||||||
|
"paramLongName": "isSparkSessionManaged",
|
||||||
|
"paramDescription": "when true will stop SparkSession after job execution",
|
||||||
|
"paramRequired": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "lv",
|
||||||
|
"paramLongName": "lastVisitsPath",
|
||||||
|
"paramDescription": "the URL where to store last visits data",
|
||||||
|
"paramRequired": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "ap",
|
||||||
|
"paramLongName": "actionsetsPath",
|
||||||
|
"paramDescription": "the URL path where to store actionsets",
|
||||||
|
"paramRequired": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "sip",
|
||||||
|
"paramLongName": "softwareInputPath",
|
||||||
|
"paramDescription": "the URL path of the software in the graph",
|
||||||
|
"paramRequired": true
|
||||||
|
}
|
||||||
|
]
|
|
@ -0,0 +1,19 @@
|
||||||
|
# hive
|
||||||
|
hiveDbName=openaire_prod_20230914
|
||||||
|
|
||||||
|
# input/output files
|
||||||
|
softwareCodeRepositoryURLs=${workingDir}/1_code_repo_urls.csv
|
||||||
|
lastVisitsPath=${workingDir}/2_last_visits.seq
|
||||||
|
archiveRequestsPath=${workingDir}/3_archive_requests.seq
|
||||||
|
actionsetsPath=${workingDir}/4_actionsets
|
||||||
|
graphPath=/tmp/prod_provision/graph/18_graph_blacklisted
|
||||||
|
|
||||||
|
apiAccessToken=eyJhbGciOiJIUzI1NiIsInR5cCIgOiAiSldUIiwia2lkIiA6ICJhMTMxYTQ1My1hM2IyLTQwMTUtODQ2Ny05MzAyZjk3MTFkOGEifQ.eyJpYXQiOjE2OTQ2MzYwMjAsImp0aSI6IjkwZjdkNTNjLTQ5YTktNGFiMy1hY2E0LTcwMTViMjEyZTNjNiIsImlzcyI6Imh0dHBzOi8vYXV0aC5zb2Z0d2FyZWhlcml0YWdlLm9yZy9hdXRoL3JlYWxtcy9Tb2Z0d2FyZUhlcml0YWdlIiwiYXVkIjoiaHR0cHM6Ly9hdXRoLnNvZnR3YXJlaGVyaXRhZ2Uub3JnL2F1dGgvcmVhbG1zL1NvZnR3YXJlSGVyaXRhZ2UiLCJzdWIiOiIzMTY5OWZkNC0xNmE0LTQxOWItYTdhMi00NjI5MDY4ZjI3OWEiLCJ0eXAiOiJPZmZsaW5lIiwiYXpwIjoic3doLXdlYiIsInNlc3Npb25fc3RhdGUiOiIzMjYzMzEwMS00ZDRkLTQwMjItODU2NC1iMzNlMTJiNTE3ZDkiLCJzY29wZSI6Im9wZW5pZCBvZmZsaW5lX2FjY2VzcyBwcm9maWxlIGVtYWlsIn0.XHj1VIZu1dZ4Ej32-oU84mFmaox9cLNjXosNxwZM0Xs
|
||||||
|
|
||||||
|
maxNumberOfRetry=2
|
||||||
|
retryDelay=1
|
||||||
|
requestDelay=100
|
||||||
|
|
||||||
|
softwareLimit=500
|
||||||
|
|
||||||
|
resume=collect-software-repository-urls
|
|
@ -0,0 +1,54 @@
|
||||||
|
<configuration>
|
||||||
|
<property>
|
||||||
|
<name>jobTracker</name>
|
||||||
|
<value>yarnRM</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>nameNode</name>
|
||||||
|
<value>hdfs://nameservice1</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>oozie.use.system.libpath</name>
|
||||||
|
<value>true</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>oozie.action.sharelib.for.spark</name>
|
||||||
|
<value>spark2</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>hiveMetastoreUris</name>
|
||||||
|
<value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>spark2YarnHistoryServerAddress</name>
|
||||||
|
<value>http://iis-cdh5-test-gw.ocean.icm.edu.pl:18089</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>spark2EventLogDir</name>
|
||||||
|
<value>/user/spark/spark2ApplicationHistory</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>spark2ExtraListeners</name>
|
||||||
|
<value>"com.cloudera.spark.lineage.NavigatorAppListener"</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>spark2SqlQueryExecutionListeners</name>
|
||||||
|
<value>"com.cloudera.spark.lineage.NavigatorQueryListener"</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>oozieActionShareLibForSpark2</name>
|
||||||
|
<value>spark2</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>resourceManager</name>
|
||||||
|
<value>http://iis-cdh5-test-m2.ocean.icm.edu.pl:8088/cluster</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>oozie.launcher.mapreduce.user.classpath.first</name>
|
||||||
|
<value>true</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>sparkSqlWarehouseDir</name>
|
||||||
|
<value>/user/hive/warehouse</value>
|
||||||
|
</property>
|
||||||
|
</configuration>
|
|
@ -0,0 +1,183 @@
|
||||||
|
<workflow-app name="Software-Heritage-Integration-Workflow" xmlns="uri:oozie:workflow:0.5">
|
||||||
|
|
||||||
|
<!-- Custom parameters -->
|
||||||
|
<parameters>
|
||||||
|
<property>
|
||||||
|
<name>hiveDbName</name>
|
||||||
|
<description>The name of the Hive DB to be used</description>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>softwareCodeRepositoryURLs</name>
|
||||||
|
<description>The path in the HDFS to save the software repository URLs</description>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>lastVisitsPath</name>
|
||||||
|
<description>The path in the HDFS to save the responses of the last visit requests</description>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>archiveRequestsPath</name>
|
||||||
|
<description>The path in the HDFS to save the responses of the archive requests</description>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>actionsetsPath</name>
|
||||||
|
<description>The path in the HDFS to save the action sets</description>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>graphPath</name>
|
||||||
|
<description>The path in the HDFS to the base folder of the graph</description>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>maxNumberOfRetry</name>
|
||||||
|
<description>Max number of retries for failed API calls</description>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>retryDelay</name>
|
||||||
|
<description>Retry delay for failed requests (in sec)</description>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>requestDelay</name>
|
||||||
|
<description>Delay between API requests (in ms)</description>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>apiAccessToken</name>
|
||||||
|
<description>The API Key of the SWH API</description>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>softwareLimit</name>
|
||||||
|
<description>Limit on the number of repo URLs to use (Optional); for debug purposes</description>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>resumeFrom</name>
|
||||||
|
<description>Variable that indicates the step to start from</description>
|
||||||
|
</property>
|
||||||
|
</parameters>
|
||||||
|
|
||||||
|
<!-- Global variables -->
|
||||||
|
<global>
|
||||||
|
<job-tracker>${jobTracker}</job-tracker>
|
||||||
|
<name-node>${nameNode}</name-node>
|
||||||
|
<configuration>
|
||||||
|
<property>
|
||||||
|
<name>oozie.action.sharelib.for.spark</name>
|
||||||
|
<value>${oozieActionShareLibForSpark2}</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>actionsetsPath</name>
|
||||||
|
<value>${actionsetsPath}</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>apiAccessToken</name>
|
||||||
|
<value>${apiAccessToken}</value>
|
||||||
|
</property>
|
||||||
|
</configuration>
|
||||||
|
</global>
|
||||||
|
|
||||||
|
<start to="startFrom"/>
|
||||||
|
|
||||||
|
<kill name="Kill">
|
||||||
|
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
|
||||||
|
</kill>
|
||||||
|
|
||||||
|
<decision name="startFrom">
|
||||||
|
<switch>
|
||||||
|
<case to="collect-software-repository-urls">${wf:conf('resumeFrom') eq 'collect-software-repository-urls'}</case>
|
||||||
|
<case to="create-swh-actionsets">${wf:conf('resumeFrom') eq 'create-swh-actionsets'}</case>
|
||||||
|
<default to="collect-software-repository-urls"/>
|
||||||
|
</switch>
|
||||||
|
</decision>
|
||||||
|
|
||||||
|
<action name="collect-software-repository-urls">
|
||||||
|
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||||
|
<master>yarn</master>
|
||||||
|
<mode>cluster</mode>
|
||||||
|
<name>Collect software repository URLs</name>
|
||||||
|
<class>eu.dnetlib.dhp.swh.CollectSoftwareRepositoryURLs</class>
|
||||||
|
<jar>dhp-swh-${projectVersion}.jar</jar>
|
||||||
|
<spark-opts>
|
||||||
|
--executor-memory=${sparkExecutorMemory}
|
||||||
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
--driver-memory=${sparkDriverMemory}
|
||||||
|
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||||
|
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||||
|
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||||
|
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||||
|
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
|
||||||
|
</spark-opts>
|
||||||
|
|
||||||
|
<arg>--softwareCodeRepositoryURLs</arg><arg>${softwareCodeRepositoryURLs}</arg>
|
||||||
|
<arg>--hiveDbName</arg><arg>${hiveDbName}</arg>
|
||||||
|
<arg>--hiveMetastoreUris</arg><arg>${hiveMetastoreUris}</arg>
|
||||||
|
<arg>--softwareLimit</arg><arg>${softwareLimit}</arg>
|
||||||
|
</spark>
|
||||||
|
<ok to="collect-repository-last-visit-data"/>
|
||||||
|
<error to="Kill"/>
|
||||||
|
</action>
|
||||||
|
|
||||||
|
<action name="collect-repository-last-visit-data">
|
||||||
|
<java>
|
||||||
|
<main-class>eu.dnetlib.dhp.swh.CollectLastVisitRepositoryData</main-class>
|
||||||
|
|
||||||
|
<arg>--namenode</arg><arg>${nameNode}</arg>
|
||||||
|
<arg>--softwareCodeRepositoryURLs</arg><arg>${softwareCodeRepositoryURLs}</arg>
|
||||||
|
<arg>--lastVisitsPath</arg><arg>${lastVisitsPath}</arg>
|
||||||
|
|
||||||
|
<arg>--maxNumberOfRetry</arg><arg>${maxNumberOfRetry}</arg>
|
||||||
|
<arg>--requestDelay</arg><arg>${requestDelay}</arg>
|
||||||
|
<arg>--retryDelay</arg><arg>${retryDelay}</arg>
|
||||||
|
<arg>--requestMethod</arg><arg>GET</arg>
|
||||||
|
<arg>--apiAccessToken</arg><arg>${apiAccessToken}</arg>
|
||||||
|
|
||||||
|
</java>
|
||||||
|
<ok to="archive-repository-urls"/>
|
||||||
|
<error to="Kill"/>
|
||||||
|
</action>
|
||||||
|
|
||||||
|
<action name="archive-repository-urls">
|
||||||
|
<java>
|
||||||
|
<main-class>eu.dnetlib.dhp.swh.ArchiveRepositoryURLs</main-class>
|
||||||
|
|
||||||
|
<arg>--namenode</arg><arg>${nameNode}</arg>
|
||||||
|
<arg>--lastVisitsPath</arg><arg>${lastVisitsPath}</arg>
|
||||||
|
<arg>--archiveRequestsPath</arg><arg>${archiveRequestsPath}</arg>
|
||||||
|
<arg>--archiveThresholdInDays</arg><arg>365</arg>
|
||||||
|
|
||||||
|
<arg>--maxNumberOfRetry</arg><arg>${maxNumberOfRetry}</arg>
|
||||||
|
<arg>--requestDelay</arg><arg>${requestDelay}</arg>
|
||||||
|
<arg>--retryDelay</arg><arg>${retryDelay}</arg>
|
||||||
|
<arg>--requestMethod</arg><arg>POST</arg>
|
||||||
|
<arg>--apiAccessToken</arg><arg>${apiAccessToken}</arg>
|
||||||
|
|
||||||
|
</java>
|
||||||
|
<ok to="create-swh-actionsets"/>
|
||||||
|
<error to="Kill"/>
|
||||||
|
</action>
|
||||||
|
|
||||||
|
<action name="create-swh-actionsets">
|
||||||
|
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||||
|
<master>yarn</master>
|
||||||
|
<mode>cluster</mode>
|
||||||
|
<name>Create actionsets for SWH data</name>
|
||||||
|
<class>eu.dnetlib.dhp.swh.PrepareSWHActionsets</class>
|
||||||
|
<jar>dhp-swh-${projectVersion}.jar</jar>
|
||||||
|
<spark-opts>
|
||||||
|
--executor-memory=${sparkExecutorMemory}
|
||||||
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
--driver-memory=${sparkDriverMemory}
|
||||||
|
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||||
|
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||||
|
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||||
|
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||||
|
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
|
||||||
|
</spark-opts>
|
||||||
|
|
||||||
|
<arg>--lastVisitsPath</arg><arg>${lastVisitsPath}</arg>
|
||||||
|
<arg>--actionsetsPath</arg><arg>${actionsetsPath}</arg>
|
||||||
|
<arg>--softwareInputPath</arg><arg>${graphPath}/software</arg>
|
||||||
|
</spark>
|
||||||
|
<ok to="End"/>
|
||||||
|
<error to="Kill"/>
|
||||||
|
</action>
|
||||||
|
|
||||||
|
<end name="End"/>
|
||||||
|
|
||||||
|
</workflow-app>
|
|
@ -0,0 +1,38 @@
|
||||||
|
|
||||||
|
package eu.dnetlib.dhp.swh;
|
||||||
|
|
||||||
|
import java.io.BufferedReader;
|
||||||
|
import java.io.File;
|
||||||
|
import java.io.FileReader;
|
||||||
|
import java.io.IOException;
|
||||||
|
import java.text.ParseException;
|
||||||
|
import java.util.Arrays;
|
||||||
|
|
||||||
|
import org.apache.hadoop.fs.FileSystem;
|
||||||
|
import org.junit.jupiter.api.Test;
|
||||||
|
|
||||||
|
import eu.dnetlib.dhp.swh.utils.SWHUtils;
|
||||||
|
|
||||||
|
public class ArchiveRepositoryURLsTest {
|
||||||
|
|
||||||
|
@Test
|
||||||
|
void testArchive() throws IOException, ParseException {
|
||||||
|
String inputPath = getClass()
|
||||||
|
.getResource("/eu/dnetlib/dhp/swh/lastVisitDataToArchive.csv")
|
||||||
|
.getPath();
|
||||||
|
|
||||||
|
File file = new File(inputPath);
|
||||||
|
FileReader fr = new FileReader(file);
|
||||||
|
BufferedReader br = new BufferedReader(fr); // creates a buffering character input stream
|
||||||
|
|
||||||
|
String line;
|
||||||
|
while ((line = br.readLine()) != null) {
|
||||||
|
String[] tokens = line.split("\t");
|
||||||
|
|
||||||
|
String response = ArchiveRepositoryURLs.handleRecord(tokens[0], tokens[1], 365);
|
||||||
|
System.out.println(tokens[0] + "\t" + response);
|
||||||
|
System.out.println();
|
||||||
|
}
|
||||||
|
fr.close();
|
||||||
|
}
|
||||||
|
}
|
|
@ -0,0 +1,97 @@
|
||||||
|
|
||||||
|
package eu.dnetlib.dhp.swh;
|
||||||
|
|
||||||
|
import static org.junit.jupiter.api.Assertions.assertEquals;
|
||||||
|
|
||||||
|
import java.io.IOException;
|
||||||
|
import java.nio.file.Files;
|
||||||
|
import java.nio.file.Path;
|
||||||
|
|
||||||
|
import org.apache.commons.io.FileUtils;
|
||||||
|
import org.apache.hadoop.io.Text;
|
||||||
|
import org.apache.spark.SparkConf;
|
||||||
|
import org.apache.spark.api.java.JavaRDD;
|
||||||
|
import org.apache.spark.api.java.JavaSparkContext;
|
||||||
|
import org.apache.spark.sql.Dataset;
|
||||||
|
import org.apache.spark.sql.Encoders;
|
||||||
|
import org.apache.spark.sql.Row;
|
||||||
|
import org.apache.spark.sql.SparkSession;
|
||||||
|
import org.junit.jupiter.api.AfterAll;
|
||||||
|
import org.junit.jupiter.api.Assertions;
|
||||||
|
import org.junit.jupiter.api.BeforeAll;
|
||||||
|
import org.junit.jupiter.api.Test;
|
||||||
|
import org.slf4j.Logger;
|
||||||
|
import org.slf4j.LoggerFactory;
|
||||||
|
|
||||||
|
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||||
|
|
||||||
|
import eu.dnetlib.dhp.schema.action.AtomicAction;
|
||||||
|
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||||
|
import eu.dnetlib.dhp.schema.oaf.Relation;
|
||||||
|
import eu.dnetlib.dhp.schema.oaf.utils.CleaningFunctions;
|
||||||
|
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
|
||||||
|
|
||||||
|
public class PrepareSWHActionsetsTest {
|
||||||
|
|
||||||
|
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
||||||
|
|
||||||
|
private static SparkSession spark;
|
||||||
|
|
||||||
|
private static Path workingDir;
|
||||||
|
|
||||||
|
private static final Logger log = LoggerFactory
|
||||||
|
.getLogger(PrepareSWHActionsetsTest.class);
|
||||||
|
|
||||||
|
@BeforeAll
|
||||||
|
public static void beforeAll() throws IOException {
|
||||||
|
workingDir = Files.createTempDirectory(PrepareSWHActionsetsTest.class.getSimpleName());
|
||||||
|
|
||||||
|
log.info("Using work dir {}", workingDir);
|
||||||
|
|
||||||
|
SparkConf conf = new SparkConf();
|
||||||
|
conf.setAppName(PrepareSWHActionsetsTest.class.getSimpleName());
|
||||||
|
|
||||||
|
conf.setMaster("local[*]");
|
||||||
|
conf.set("spark.driver.host", "localhost");
|
||||||
|
conf.set("hive.metastore.local", "true");
|
||||||
|
conf.set("spark.ui.enabled", "false");
|
||||||
|
conf.set("spark.sql.warehouse.dir", workingDir.toString());
|
||||||
|
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
|
||||||
|
|
||||||
|
spark = SparkSession
|
||||||
|
.builder()
|
||||||
|
.appName(PrepareSWHActionsetsTest.class.getSimpleName())
|
||||||
|
.config(conf)
|
||||||
|
.getOrCreate();
|
||||||
|
}
|
||||||
|
|
||||||
|
@AfterAll
|
||||||
|
public static void afterAll() throws IOException {
|
||||||
|
FileUtils.deleteDirectory(workingDir.toFile());
|
||||||
|
spark.stop();
|
||||||
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
void testRun() throws Exception {
|
||||||
|
|
||||||
|
String lastVisitsPath = getClass()
|
||||||
|
.getResource("/eu/dnetlib/dhp/swh/last_visits_data.seq")
|
||||||
|
.getPath();
|
||||||
|
|
||||||
|
String outputPath = workingDir.toString() + "/actionSet";
|
||||||
|
|
||||||
|
String softwareInputPath = getClass()
|
||||||
|
.getResource("/eu/dnetlib/dhp/swh/software.json.gz")
|
||||||
|
.getPath();
|
||||||
|
|
||||||
|
PrepareSWHActionsets
|
||||||
|
.main(
|
||||||
|
new String[] {
|
||||||
|
"-isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||||
|
"-lastVisitsPath", lastVisitsPath,
|
||||||
|
"-softwareInputPath", softwareInputPath,
|
||||||
|
"-actionsetsPath", outputPath
|
||||||
|
});
|
||||||
|
|
||||||
|
}
|
||||||
|
}
|
|
@ -0,0 +1,58 @@
|
||||||
|
|
||||||
|
package eu.dnetlib.dhp.swh;
|
||||||
|
|
||||||
|
import java.io.IOException;
|
||||||
|
import java.net.MalformedURLException;
|
||||||
|
import java.net.URL;
|
||||||
|
|
||||||
|
import org.junit.jupiter.api.Test;
|
||||||
|
import org.slf4j.Logger;
|
||||||
|
import org.slf4j.LoggerFactory;
|
||||||
|
|
||||||
|
import eu.dnetlib.dhp.common.collection.CollectorException;
|
||||||
|
import eu.dnetlib.dhp.common.collection.HttpClientParams;
|
||||||
|
import eu.dnetlib.dhp.swh.utils.SWHConnection;
|
||||||
|
import eu.dnetlib.dhp.swh.utils.SWHConstants;
|
||||||
|
|
||||||
|
//import org.apache.hadoop.hdfs.MiniDFSCluster;
|
||||||
|
|
||||||
|
public class SWHConnectionTest {
|
||||||
|
private static final Logger log = LoggerFactory.getLogger(SWHConnectionTest.class);
|
||||||
|
|
||||||
|
@Test
|
||||||
|
void testGetCall() throws IOException {
|
||||||
|
|
||||||
|
HttpClientParams clientParams = new HttpClientParams();
|
||||||
|
clientParams.setRequestMethod("GET");
|
||||||
|
|
||||||
|
SWHConnection swhConnection = new SWHConnection(clientParams, null);
|
||||||
|
|
||||||
|
String repoUrl = "https://github.com/stanford-futuredata/FAST";
|
||||||
|
URL url = new URL(String.format(SWHConstants.SWH_LATEST_VISIT_URL, repoUrl));
|
||||||
|
String response = null;
|
||||||
|
try {
|
||||||
|
response = swhConnection.call(url.toString());
|
||||||
|
} catch (CollectorException e) {
|
||||||
|
System.out.println("Error in request: " + url);
|
||||||
|
}
|
||||||
|
System.out.println(response);
|
||||||
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
void testPostCall() throws MalformedURLException {
|
||||||
|
HttpClientParams clientParams = new HttpClientParams();
|
||||||
|
clientParams.setRequestMethod("POST");
|
||||||
|
|
||||||
|
SWHConnection swhConnection = new SWHConnection(clientParams, null);
|
||||||
|
|
||||||
|
String repoUrl = "https://github.com/stanford-futuredata/FAST";
|
||||||
|
URL url = new URL(String.format(SWHConstants.SWH_ARCHIVE_URL, SWHConstants.DEFAULT_VISIT_TYPE, repoUrl));
|
||||||
|
String response = null;
|
||||||
|
try {
|
||||||
|
response = swhConnection.call(url.toString());
|
||||||
|
} catch (CollectorException e) {
|
||||||
|
System.out.println("Error in request: " + url);
|
||||||
|
}
|
||||||
|
System.out.println(response);
|
||||||
|
}
|
||||||
|
}
|
|
@ -0,0 +1,7 @@
|
||||||
|
https://bitbucket.org/samskillman/yt-stokes {"origin":"https://bitbucket.org/samskillman/yt-stokes","visit":43,"date":"2021-09-13T21:59:27.125171+00:00","status":"failed","snapshot":null,"type":"hg","metadata":{},"origin_url":"https://archive.softwareheritage.org/api/1/origin/https://bitbucket.org/samskillman/yt-stokes/get/","snapshot_url":null}
|
||||||
|
https://github.com/bioinsilico/BIPSPI {"origin":"https://github.com/bioinsilico/BIPSPI","visit":1,"date":"2020-03-18T14:50:21.541822+00:00","status":"full","snapshot":"c6c69d2cd73ce89811448da5f031611df6f63bdb","type":"git","metadata":{},"origin_url":"https://archive.softwareheritage.org/api/1/origin/https://github.com/bioinsilico/BIPSPI/get/","snapshot_url":"https://archive.softwareheritage.org/api/1/snapshot/c6c69d2cd73ce89811448da5f031611df6f63bdb/"}
|
||||||
|
https://github.com/mloop/kdiff-type1-error-rate/blob/master/analysis/simulation.R {}
|
||||||
|
https://github.com/schwanbeck/YSMR {"origin":"https://github.com/schwanbeck/YSMR","visit":6,"date":"2023-08-02T15:25:02.650676+00:00","status":"full","snapshot":"a9d1c5f0bca2def198b89f65bc9f7da3be8439ed","type":"git","metadata":{},"origin_url":"https://archive.softwareheritage.org/api/1/origin/https://github.com/schwanbeck/YSMR/get/","snapshot_url":"https://archive.softwareheritage.org/api/1/snapshot/a9d1c5f0bca2def198b89f65bc9f7da3be8439ed/"}
|
||||||
|
https://github.com/lvclark/TASSELGBS_combine {"origin":"https://github.com/lvclark/TASSELGBS_combine","visit":1,"date":"2020-04-12T20:44:09.405589+00:00","status":"full","snapshot":"ffa6fefd3f5becefbea9fe0e6d5d93859c95c071","type":"git","metadata":{},"origin_url":"https://archive.softwareheritage.org/api/1/origin/https://github.com/lvclark/TASSELGBS_combine/get/","snapshot_url":"https://archive.softwareheritage.org/api/1/snapshot/ffa6fefd3f5becefbea9fe0e6d5d93859c95c071/"}
|
||||||
|
https://github.com/PRIDE-Toolsuite/inspector-example-files {"origin":"https://github.com/PRIDE-Toolsuite/inspector-example-files","visit":12,"date":"2021-01-25T08:54:13.394674+00:00","status":"full","snapshot":"0b56eb0ad07cf778df6dabefc4b73636e0ae8b37","type":"git","metadata":{},"origin_url":"https://archive.softwareheritage.org/api/1/origin/https://github.com/PRIDE-Toolsuite/inspector-example-files/get/","snapshot_url":"https://archive.softwareheritage.org/api/1/snapshot/0b56eb0ad07cf778df6dabefc4b73636e0ae8b37/"}
|
||||||
|
https://bitbucket.org/matwey/chelyabinsk {"origin":"https://bitbucket.org/matwey/chelyabinsk","visit":6,"date":"2021-09-24T19:32:43.322909+00:00","status":"full","snapshot":"215913858c3ee0e61e1aaea18241c5ee006da1b0","type":"hg","metadata":{},"origin_url":"https://archive.softwareheritage.org/api/1/origin/https://bitbucket.org/matwey/chelyabinsk/get/","snapshot_url":"https://archive.softwareheritage.org/api/1/snapshot/215913858c3ee0e61e1aaea18241c5ee006da1b0/"}
|
Can't render this file because it contains an unexpected character in line 1 and column 46.
|
Binary file not shown.
Binary file not shown.
|
@ -38,6 +38,7 @@
|
||||||
<module>dhp-broker-events</module>
|
<module>dhp-broker-events</module>
|
||||||
<module>dhp-doiboost</module>
|
<module>dhp-doiboost</module>
|
||||||
<module>dhp-impact-indicators</module>
|
<module>dhp-impact-indicators</module>
|
||||||
|
<module>dhp-swh</module>
|
||||||
</modules>
|
</modules>
|
||||||
|
|
||||||
<pluginRepositories>
|
<pluginRepositories>
|
||||||
|
|
12
pom.xml
12
pom.xml
|
@ -112,6 +112,16 @@
|
||||||
<url>https://maven.d4science.org/nexus/content/repositories/dnet-deps</url>
|
<url>https://maven.d4science.org/nexus/content/repositories/dnet-deps</url>
|
||||||
<layout>default</layout>
|
<layout>default</layout>
|
||||||
</repository>
|
</repository>
|
||||||
|
<repository>
|
||||||
|
<id>maven-restlet</id>
|
||||||
|
<name>Restlet repository</name>
|
||||||
|
<url>https://maven.restlet.talend.com</url>
|
||||||
|
</repository>
|
||||||
|
<repository>
|
||||||
|
<id>conjars</id>
|
||||||
|
<name>conjars</name>
|
||||||
|
<url>https://conjars.wensel.net/repo/</url>
|
||||||
|
</repository>
|
||||||
</repositories>
|
</repositories>
|
||||||
|
|
||||||
<dependencies>
|
<dependencies>
|
||||||
|
@ -878,7 +888,7 @@
|
||||||
<mockito-core.version>3.3.3</mockito-core.version>
|
<mockito-core.version>3.3.3</mockito-core.version>
|
||||||
<mongodb.driver.version>3.4.2</mongodb.driver.version>
|
<mongodb.driver.version>3.4.2</mongodb.driver.version>
|
||||||
<vtd.version>[2.12,3.0)</vtd.version>
|
<vtd.version>[2.12,3.0)</vtd.version>
|
||||||
<dhp-schemas.version>[3.17.1]</dhp-schemas.version>
|
<dhp-schemas.version>[3.17.2]</dhp-schemas.version>
|
||||||
<dnet-actionmanager-api.version>[4.0.3]</dnet-actionmanager-api.version>
|
<dnet-actionmanager-api.version>[4.0.3]</dnet-actionmanager-api.version>
|
||||||
<dnet-actionmanager-common.version>[6.0.5]</dnet-actionmanager-common.version>
|
<dnet-actionmanager-common.version>[6.0.5]</dnet-actionmanager-common.version>
|
||||||
<dnet-openaire-broker-common.version>[3.1.6]</dnet-openaire-broker-common.version>
|
<dnet-openaire-broker-common.version>[3.1.6]</dnet-openaire-broker-common.version>
|
||||||
|
|
Loading…
Reference in New Issue