forked from D-Net/dnet-hadoop
[Measures] added new measure (usagecounts) as action set. Measure added at the level of the result. Ref #7587
This commit is contained in:
parent
73c172926a
commit
869407c6e2
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@ -27,6 +27,8 @@ public class Constants {
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public static final String UPDATE_CLASS_NAME = "Inferred by OpenAIRE";
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public static final String UPDATE_MEASURE_BIP_CLASS_ID = "measure:bip";
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public static final String UPDATE_SUBJECT_SDG_CLASS_ID = "subject:sdg";
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public static final String UPDATE_MEASURE_USAGE_COUNTS_CLASS_ID = "measure:usage_counts";
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public static final String UPDATE_KEY_USAGE_COUNTS = "count";
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public static final String FOS_CLASS_ID = "FOS";
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public static final String FOS_CLASS_NAME = "Fields of Science and Technology classification";
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@ -0,0 +1,165 @@
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package eu.dnetlib.dhp.actionmanager.usagestats;
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import static eu.dnetlib.dhp.actionmanager.Constants.*;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.io.Serializable;
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import java.util.ArrayList;
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import java.util.Arrays;
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import java.util.List;
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import java.util.Optional;
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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.cxf.wsdl.service.factory.MethodNameSoapActionServiceConfiguration;
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import org.apache.hadoop.io.Text;
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import org.apache.hadoop.mapred.SequenceFileOutputFormat;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.JavaRDD;
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import org.apache.spark.api.java.JavaSparkContext;
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import org.apache.spark.api.java.function.ForeachFunction;
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import org.apache.spark.api.java.function.MapFunction;
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import org.apache.spark.api.java.function.MapGroupsFunction;
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import org.apache.spark.sql.Dataset;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.sql.SaveMode;
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import org.apache.spark.sql.SparkSession;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.actionmanager.bipmodel.BipDeserialize;
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import eu.dnetlib.dhp.actionmanager.bipmodel.BipScore;
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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.action.AtomicAction;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
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import eu.dnetlib.dhp.schema.oaf.DataInfo;
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import eu.dnetlib.dhp.schema.oaf.KeyValue;
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import eu.dnetlib.dhp.schema.oaf.Measure;
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import eu.dnetlib.dhp.schema.oaf.Result;
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import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
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import lombok.val;
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import scala.Tuple2;
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/**
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* created the Atomic Action for each tipe of results
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*/
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public class SparkAtomicActionUsageJob implements Serializable {
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private static final Logger log = LoggerFactory.getLogger(SparkAtomicActionUsageJob.class);
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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public static <I extends Result> void main(String[] args) throws Exception {
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String jsonConfiguration = IOUtils
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.toString(
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SparkAtomicActionUsageJob.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/actionmanager/usagestats/input_actionset_parameter.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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final String outputPath = parser.get("outputPath");
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log.info("outputPath {}: ", outputPath);
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SparkConf conf = new SparkConf();
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conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
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final String dbname = parser.get("statsdb");
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final String workingPath = parser.get("workingPath");
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runWithSparkHiveSession(
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conf,
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isSparkSessionManaged,
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spark -> {
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removeOutputDir(spark, outputPath);
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prepareResults(dbname, spark, outputPath);
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prepareActionSet(spark, workingPath, outputPath);
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});
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}
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public static void prepareResults(String db, SparkSession spark, String workingPath) {
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spark
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.sql(
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"Select result_id, downloads, views " +
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"from " + db + ".usage_stats")
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.as(Encoders.bean(UsageStatsModel.class))
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.write()
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.mode(SaveMode.Overwrite)
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.option("compression", "gzip")
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.json(workingPath);
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}
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public static void prepareActionSet(SparkSession spark, String inputPath, String outputPath){
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readPath(spark, inputPath, UsageStatsModel.class)
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.groupByKey((MapFunction<UsageStatsModel, String>) us -> us.getResult_id(), Encoders.STRING())
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.mapGroups((MapGroupsFunction<String, UsageStatsModel, Result>) (k, it) -> {
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UsageStatsModel first = it.next();
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it.forEachRemaining(us -> {
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first.setDownloads(first.getDownloads() + us.getDownloads());
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first.setViews(first.getViews() + us.getViews());
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});
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Result res = new Result();
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res.setId("50|" + k);
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res.setMeasures(getMeasure(first.getDownloads(), first.getViews()));
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return res;
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}, Encoders.bean(Result.class))
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.write()
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.mode(SaveMode.Overwrite)
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.option("compression", "gzip")
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.json(outputPath);
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}
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private static List<Measure> getMeasure(Long downloads, Long views) {
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DataInfo dataInfo = OafMapperUtils
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.dataInfo(
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false,
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UPDATE_DATA_INFO_TYPE,
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true,
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false,
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OafMapperUtils
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.qualifier(
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UPDATE_MEASURE_USAGE_COUNTS_CLASS_ID,
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UPDATE_CLASS_NAME,
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ModelConstants.DNET_PROVENANCE_ACTIONS,
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ModelConstants.DNET_PROVENANCE_ACTIONS),
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"");
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return Arrays
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.asList(
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Measure
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.newInstance("downloads", String.valueOf(downloads), UPDATE_KEY_USAGE_COUNTS, dataInfo),
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Measure.newInstance("views", String.valueOf(views), UPDATE_KEY_USAGE_COUNTS, dataInfo));
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}
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private static void removeOutputDir(SparkSession spark, String path) {
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HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
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}
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public static <R> Dataset<R> readPath(
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SparkSession spark, String inputPath, Class<R> clazz) {
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return spark
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.read()
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.textFile(inputPath)
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.map((MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz));
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}
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}
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@ -0,0 +1,34 @@
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package eu.dnetlib.dhp.actionmanager.usagestats;
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import java.io.Serializable;
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public class UsageStatsModel implements Serializable {
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private String result_id;
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private Long downloads;
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private Long views;
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public String getResult_id() {
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return result_id;
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}
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public void setResult_id(String result_id) {
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this.result_id = result_id;
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}
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public Long getDownloads() {
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return downloads;
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}
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public void setDownloads(Long downloads) {
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this.downloads = downloads;
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}
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public Long getViews() {
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return views;
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}
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public void setViews(Long views) {
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this.views = views;
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}
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}
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@ -0,0 +1,26 @@
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[
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{
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"paramName": "issm",
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"paramLongName": "isSparkSessionManaged",
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"paramDescription": "when true will stop SparkSession after job execution",
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"paramRequired": false
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},
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{
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"paramName": "hmu",
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"paramLongName": "hive_metastore_uris",
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"paramDescription": "the URI for the hive metastore",
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"paramRequired": true
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},
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{
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"paramName": "o",
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"paramLongName": "outputPath",
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"paramDescription": "the path of the new ActionSet",
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"paramRequired": true
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},
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{
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"paramName": "sdb",
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"paramLongName": "statsdb",
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"paramDescription": "the name of the db to be used",
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"paramRequired": true
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}
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]
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@ -0,0 +1,30 @@
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<configuration>
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<property>
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<name>jobTracker</name>
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<value>yarnRM</value>
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</property>
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<property>
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<name>nameNode</name>
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<value>hdfs://nameservice1</value>
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</property>
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<property>
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<name>oozie.use.system.libpath</name>
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<value>true</value>
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</property>
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<property>
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<name>hiveMetastoreUris</name>
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<value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
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</property>
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<property>
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<name>hiveJdbcUrl</name>
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<value>jdbc:hive2://iis-cdh5-test-m3.ocean.icm.edu.pl:10000</value>
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</property>
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<property>
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<name>hiveDbName</name>
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<value>openaire</value>
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</property>
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<property>
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<name>oozie.launcher.mapreduce.user.classpath.first</name>
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<value>true</value>
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</property>
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</configuration>
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@ -0,0 +1,98 @@
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<workflow-app name="UsageStatsCounts" xmlns="uri:oozie:workflow:0.5">
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<parameters>
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<property>
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<name>outputPath</name>
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<description>the path where to store the actionset</description>
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</property>
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<property>
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<name>statsdb</name>
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<description>the path where to store the actionset</description>
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</property>
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<property>
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<name>sparkDriverMemory</name>
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<description>memory for driver process</description>
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</property>
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<property>
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<name>sparkExecutorMemory</name>
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<description>memory for individual executor</description>
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</property>
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<property>
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<name>sparkExecutorCores</name>
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<description>number of cores used by single executor</description>
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</property>
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<property>
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<name>oozieActionShareLibForSpark2</name>
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<description>oozie action sharelib for spark 2.*</description>
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</property>
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<property>
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<name>spark2ExtraListeners</name>
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<value>com.cloudera.spark.lineage.NavigatorAppListener</value>
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<description>spark 2.* extra listeners classname</description>
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</property>
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<property>
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<name>spark2SqlQueryExecutionListeners</name>
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<value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
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<description>spark 2.* sql query execution listeners classname</description>
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</property>
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<property>
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<name>spark2YarnHistoryServerAddress</name>
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<description>spark 2.* yarn history server address</description>
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</property>
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<property>
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<name>spark2EventLogDir</name>
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<description>spark 2.* event log dir location</description>
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</property>
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</parameters>
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<global>
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<job-tracker>${jobTracker}</job-tracker>
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<name-node>${nameNode}</name-node>
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<configuration>
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<property>
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<name>mapreduce.job.queuename</name>
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<value>${queueName}</value>
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</property>
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<property>
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<name>oozie.launcher.mapred.job.queue.name</name>
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<value>${oozieLauncherQueueName}</value>
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</property>
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<property>
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<name>oozie.action.sharelib.for.spark</name>
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<value>${oozieActionShareLibForSpark2}</value>
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</property>
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</configuration>
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</global>
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<start to="atomicactions"/>
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<kill name="Kill">
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<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
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</kill>
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<action name="atomicactions">
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<spark xmlns="uri:oozie:spark-action:0.2">
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<master>yarn</master>
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<mode>cluster</mode>
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<name>Produces the atomic action with the usage stats count for results</name>
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<class>eu.dnetlib.dhp.actionmanager.usagestats.SparkAtomicActionUsageJob</class>
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<jar>dhp-aggregation-${projectVersion}.jar</jar>
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<spark-opts>
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--executor-memory=${sparkExecutorMemory}
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--executor-cores=${sparkExecutorCores}
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--driver-memory=${sparkDriverMemory}
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--conf spark.extraListeners=${spark2ExtraListeners}
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--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
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--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
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--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
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--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
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</spark-opts>
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<arg>--hive_metastore_uris</arg><arg>${hiveMetastoreUris}</arg>
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<arg>--outputPath</arg><arg>${outputPath}</arg>
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<arg>--statsdb</arg><arg>${statsdb}</arg>
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</spark>
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<ok to="End"/>
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<error to="Kill"/>
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</action>
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<end name="End"/>
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</workflow-app>
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@ -0,0 +1,133 @@
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package eu.dnetlib.dhp.actionmanager.usagestats;
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import static org.junit.jupiter.api.Assertions.assertEquals;
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import java.io.IOException;
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import java.nio.file.Files;
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import java.nio.file.Path;
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import java.util.stream.Collectors;
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import org.apache.commons.io.FileUtils;
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import org.apache.hadoop.io.Text;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.JavaRDD;
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import org.apache.spark.api.java.JavaSparkContext;
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import org.apache.spark.sql.Dataset;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.sql.Row;
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import org.apache.spark.sql.SparkSession;
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import org.junit.jupiter.api.AfterAll;
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import org.junit.jupiter.api.Assertions;
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import org.junit.jupiter.api.BeforeAll;
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import org.junit.jupiter.api.Test;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob;
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import eu.dnetlib.dhp.schema.action.AtomicAction;
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import eu.dnetlib.dhp.schema.oaf.Result;
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public class SparkAtomicActionCountJobTest {
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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private static SparkSession spark;
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private static Path workingDir;
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private static final Logger log = LoggerFactory
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.getLogger(SparkAtomicActionCountJobTest.class);
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@BeforeAll
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public static void beforeAll() throws IOException {
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workingDir = Files
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.createTempDirectory(SparkAtomicActionCountJobTest.class.getSimpleName());
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log.info("using work dir {}", workingDir);
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SparkConf conf = new SparkConf();
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conf.setAppName(SparkAtomicActionCountJobTest.class.getSimpleName());
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conf.setMaster("local[*]");
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conf.set("spark.driver.host", "localhost");
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conf.set("hive.metastore.local", "true");
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conf.set("spark.ui.enabled", "false");
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conf.set("spark.sql.warehouse.dir", workingDir.toString());
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conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
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spark = SparkSession
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.builder()
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.appName(SparkAtomicActionCountJobTest.class.getSimpleName())
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.config(conf)
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.getOrCreate();
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}
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@AfterAll
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public static void afterAll() throws IOException {
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FileUtils.deleteDirectory(workingDir.toFile());
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spark.stop();
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}
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@Test
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void testMatch() {
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String usageScoresPath = getClass()
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.getResource("/eu/dnetlib/dhp/actionmanager/usagestats/usagestatsdb")
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.getPath();
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SparkAtomicActionUsageJob.prepareActionSet(spark, usageScoresPath, workingDir.toString() + "/actionSet");
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
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JavaRDD<Result> tmp = sc
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.textFile(workingDir.toString() + "/actionSet")
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.map(usm -> OBJECT_MAPPER.readValue(usm, Result.class));
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Assertions.assertEquals(9, tmp.count());
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tmp.foreach(r -> Assertions.assertEquals(2, r.getMeasures().size()));
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tmp.foreach(r -> r.getMeasures().stream().forEach(m ->
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m.getUnit().stream().forEach(u -> Assertions.assertFalse(u.getDataInfo().getDeletedbyinference()))));
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tmp.foreach(r -> r.getMeasures().stream().forEach(m ->
|
||||
m.getUnit().stream().forEach(u -> Assertions.assertTrue(u.getDataInfo().getInferred()))));
|
||||
tmp.foreach(r -> r.getMeasures().stream().forEach(m ->
|
||||
m.getUnit().stream().forEach(u -> Assertions.assertFalse(u.getDataInfo().getInvisible()))));
|
||||
|
||||
tmp.foreach(r -> r.getMeasures().stream().forEach(m ->
|
||||
m.getUnit().stream().forEach(u -> Assertions.assertEquals("measure:usage_counts",
|
||||
u.getDataInfo().getProvenanceaction().getClassid()))));
|
||||
tmp.foreach(r -> r.getMeasures().stream().forEach(m ->
|
||||
m.getUnit().stream().forEach(u -> Assertions.assertEquals("Inferred by OpenAIRE",
|
||||
u.getDataInfo().getProvenanceaction().getClassname()))));
|
||||
|
||||
tmp.foreach(r -> r.getMeasures().stream().forEach(m ->
|
||||
m.getUnit().stream().forEach(u -> Assertions.assertEquals("count",
|
||||
u.getKey()))));
|
||||
|
||||
Assertions.assertEquals(1, tmp.filter(r -> r.getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6")).count());
|
||||
|
||||
Assertions.assertEquals("0", tmp.filter(r -> r.getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6")).collect().get(0)
|
||||
.getMeasures().stream().filter(m -> m.getId().equals("downloads")).collect(Collectors.toList()).get(0)
|
||||
.getUnit().get(0).getValue());
|
||||
Assertions.assertEquals("5", tmp.filter(r -> r.getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6")).collect().get(0)
|
||||
.getMeasures().stream().filter(m -> m.getId().equals("views")).collect(Collectors.toList()).get(0)
|
||||
.getUnit().get(0).getValue());
|
||||
|
||||
Assertions.assertEquals("0", tmp.filter(r -> r.getId().equals("50|doi_________::17eda2ff77407538fbe5d3d719b9d1c0")).collect().get(0)
|
||||
.getMeasures().stream().filter(m -> m.getId().equals("downloads")).collect(Collectors.toList()).get(0)
|
||||
.getUnit().get(0).getValue());
|
||||
Assertions.assertEquals("1", tmp.filter(r -> r.getId().equals("50|doi_________::17eda2ff77407538fbe5d3d719b9d1c0")).collect().get(0)
|
||||
.getMeasures().stream().filter(m -> m.getId().equals("views")).collect(Collectors.toList()).get(0)
|
||||
.getUnit().get(0).getValue());
|
||||
|
||||
Assertions.assertEquals("2", tmp.filter(r -> r.getId().equals("50|doi_________::3085e4c6e051378ca6157fe7f0430c1f")).collect().get(0)
|
||||
.getMeasures().stream().filter(m -> m.getId().equals("downloads")).collect(Collectors.toList()).get(0)
|
||||
.getUnit().get(0).getValue());
|
||||
Assertions.assertEquals("6", tmp.filter(r -> r.getId().equals("50|doi_________::3085e4c6e051378ca6157fe7f0430c1f")).collect().get(0)
|
||||
.getMeasures().stream().filter(m -> m.getId().equals("views")).collect(Collectors.toList()).get(0)
|
||||
.getUnit().get(0).getValue());
|
||||
}
|
||||
|
||||
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,12 @@
|
|||
{"result_id":"dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6","downloads":0,"views":4}
|
||||
{"result_id":"dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6","downloads":0,"views":1}
|
||||
{"result_id":"doi_________::17eda2ff77407538fbe5d3d719b9d1c0","downloads":0,"views":1}
|
||||
{"result_id":"doi_________::1d4dc08605fd0a2be1105d30c63bfea1","downloads":1,"views":3}
|
||||
{"result_id":"doi_________::2e3527822854ca9816f6dfea5bff61a8","downloads":1,"views":1}
|
||||
{"result_id":"doi_________::3085e4c6e051378ca6157fe7f0430c1f","downloads":2,"views":3}
|
||||
{"result_id":"doi_________::3085e4c6e051378ca6157fe7f0430c1f","downloads":0,"views":3}
|
||||
{"result_id":"doi_________::33f710e6dd30cc5e67e35b371ddc33cf","downloads":0,"views":1}
|
||||
{"result_id":"doi_________::39738ebf10654732dd3a7af9f24655f8","downloads":1,"views":3}
|
||||
{"result_id":"doi_________::3c3b65f07c1a06c7894397eda1d11bbf","downloads":1,"views":8}
|
||||
{"result_id":"doi_________::3c3b65f07c1a06c7894397eda1d11bbf","downloads":0,"views":2}
|
||||
{"result_id":"doi_________::4938a71a884dd481d329657aa543b850","downloads":0,"views":3}
|
||||
2
pom.xml
2
pom.xml
|
|
@ -801,7 +801,7 @@
|
|||
<mockito-core.version>3.3.3</mockito-core.version>
|
||||
<mongodb.driver.version>3.4.2</mongodb.driver.version>
|
||||
<vtd.version>[2.12,3.0)</vtd.version>
|
||||
<dhp-schemas.version>[2.10.32]</dhp-schemas.version>
|
||||
<dhp-schemas.version>[2.11.34-SNAPSHOT]</dhp-schemas.version>
|
||||
<dnet-actionmanager-api.version>[4.0.3]</dnet-actionmanager-api.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>
|
||||
|
|
|
|||
Loading…
Reference in New Issue