forked from D-Net/dnet-hadoop
Added preparation classes before actual propagation
This commit is contained in:
parent
72c63a326e
commit
fbf5c27c27
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package eu.dnetlib.dhp.resulttocommunityfromsemrel;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import com.google.gson.Gson;
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import eu.dnetlib.dhp.QueryInformationSystem;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.resulttocommunityfromorganization.ResultCommunityList;
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import eu.dnetlib.dhp.schema.oaf.Relation;
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import eu.dnetlib.dhp.schema.oaf.Result;
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import org.apache.commons.io.IOUtils;
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import org.apache.hadoop.io.compress.GzipCodec;
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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.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.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import java.util.Arrays;
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import java.util.List;
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import static eu.dnetlib.dhp.PropagationConstant.*;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
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public class PrepareResultCommunitySetStep1 {
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private static final Logger log = LoggerFactory.getLogger(PrepareResultCommunitySetStep1.class);
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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public static void main(String[] args) throws Exception {
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String jsonConfiguration = IOUtils.toString(PrepareResultCommunitySetStep1.class
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.getResourceAsStream("/eu/dnetlib/dhp/resulttocommunityfromsemrel/input_preparecommunitytoresult_parameters.json"));
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(
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jsonConfiguration);
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parser.parseArgument(args);
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Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
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log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
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String inputPath = parser.get("sourcePath");
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log.info("inputPath: {}", inputPath);
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final String outputPath = parser.get("outputPath");
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log.info("outputPath: {}", outputPath);
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final String resultClassName = parser.get("resultTableName");
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log.info("resultTableName: {}", resultClassName);
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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 List<String> allowedsemrel = Arrays.asList(parser.get("allowedsemrels").split(";"));
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log.info("allowedSemRel: {}", new Gson().toJson(allowedsemrel));
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final String isLookupUrl = parser.get("isLookupUrl");
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log.info("isLookupUrl: {}", isLookupUrl);
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final List<String> communityIdList = QueryInformationSystem.getCommunityList(isLookupUrl);
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log.info("communityIdList: {}", new Gson().toJson(communityIdList));
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final String resultType = resultClassName.substring(resultClassName.lastIndexOf(".") + 1).toLowerCase();
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log.info("resultType: {}", resultType);
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Class<? extends Result> resultClazz = (Class<? extends Result>) Class.forName(resultClassName);
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runWithSparkHiveSession(conf, isSparkSessionManaged,
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spark -> {
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if (isTest(parser)) {
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removeOutputDir(spark, outputPath);
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}
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prepareInfo(spark, inputPath, outputPath, allowedsemrel, resultClazz, resultType,
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communityIdList);
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});
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}
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private static <R extends Result> void prepareInfo(SparkSession spark, String inputPath, String outputPath,
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List<String> allowedsemrel, Class<R> resultClazz, String resultType,
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List<String> communityIdList) {
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//read the relation table and the table related to the result it is using
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
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org.apache.spark.sql.Dataset<Relation> relation = spark.createDataset(sc.textFile(inputPath + "/relation")
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.map(item -> OBJECT_MAPPER.readValue(item, Relation.class)).rdd(), Encoders.bean(Relation.class));
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relation.createOrReplaceTempView("relation");
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log.info("Reading Graph table from: {}", inputPath + "/" + resultType);
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Dataset<R> result = readPathEntity(spark, inputPath + "/" + resultType, resultClazz);
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result.createOrReplaceTempView("result");
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getPossibleResultcommunityAssociation(spark, allowedsemrel, outputPath + "/" + resultType, communityIdList);
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}
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private static void getPossibleResultcommunityAssociation(SparkSession spark, List<String> allowedsemrel, String outputPath,
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List<String> communityIdList) {
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String communitylist = getConstraintList(" co.id = '", communityIdList);
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String semrellist = getConstraintList(" relClass = '", allowedsemrel );
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/*
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associates to each result the set of community contexts they are associated to
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select id, collect_set(co.id) community_context " +
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" from result " +
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" lateral view explode (context) c as co " +
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" where datainfo.deletedbyinference = false "+ communitylist +
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" group by id
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associates to each target of a relation with allowed semantics the set of community context it could possibly
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inherit from the source of the relation
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*/
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String query = "Select target resultId, community_context " +
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"from (select id, collect_set(co.id) community_context " +
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" from result " +
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" lateral view explode (context) c as co " +
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" where datainfo.deletedbyinference = false "+ communitylist +
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" group by id) p " +
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"JOIN " +
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"(select source, target " +
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"from relation " +
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"where datainfo.deletedbyinference = false " + semrellist + ") r " +
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"ON p.id = r.source";
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org.apache.spark.sql.Dataset<Row> result_context = spark.sql( query);
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result_context.createOrReplaceTempView("result_context");
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//( target, (mes, dh-ch-, ni))
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/*
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a dataset for example could be linked to more than one publication. For each publication linked to that dataset
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the previous query will produce a row: targetId set of community context the te=arget could possibly inherit
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with the following query there will be a single row for each result linked to more than one result of the result type
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currently being used
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*/
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query = "select resultId , collect_set(co) communityList " +
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"from result_context " +
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"lateral view explode (community_context) c as co " +
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"where length(co) > 0 " +
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"group by resultId";
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spark.sql(query)
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.as(Encoders.bean(ResultCommunityList.class))
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.toJavaRDD()
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.map(r -> OBJECT_MAPPER.writeValueAsString(r))
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.saveAsTextFile(outputPath, GzipCodec.class);
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}
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}
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package eu.dnetlib.dhp.resulttocommunityfromsemrel;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.orcidtoresultfromsemrel.ResultOrcidList;
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import eu.dnetlib.dhp.resulttocommunityfromorganization.ResultCommunityList;
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import org.apache.commons.io.IOUtils;
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import org.apache.hadoop.io.compress.GzipCodec;
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import org.apache.spark.SparkConf;
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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.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 scala.Tuple2;
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import java.util.HashSet;
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import java.util.Set;
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import static eu.dnetlib.dhp.PropagationConstant.*;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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public class PrepareResultCommunitySetStep2 {
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private static final Logger log = LoggerFactory.getLogger(PrepareResultCommunitySetStep2.class);
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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public static void main(String[] args) throws Exception {
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String jsonConfiguration = IOUtils.toString(PrepareResultCommunitySetStep2.class
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.getResourceAsStream("/eu/dnetlib/dhp/resulttocommunityfromsemrel/input_prepareresulttocommunity2_parameters.json"));
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(
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jsonConfiguration);
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parser.parseArgument(args);
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Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
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log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
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String inputPath = parser.get("sourcePath");
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log.info("inputPath: {}", inputPath);
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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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runWithSparkSession(conf, isSparkSessionManaged,
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spark -> {
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if (isTest(parser)) {
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removeOutputDir(spark, outputPath);
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}
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mergeInfo(spark, inputPath, outputPath);
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});
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}
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private static void mergeInfo(SparkSession spark, String inputPath, String outputPath) {
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Dataset<ResultCommunityList> resultOrcidAssocCommunityList = readResultCommunityList(spark, inputPath + "/publication")
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.union(readResultCommunityList(spark, inputPath + "/dataset"))
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.union(readResultCommunityList(spark, inputPath + "/otherresearchproduct"))
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.union(readResultCommunityList(spark, inputPath + "/software"));
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resultOrcidAssocCommunityList
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.toJavaRDD()
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.mapToPair(r -> new Tuple2<>(r.getResultId(), r))
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.reduceByKey((a, b) -> {
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if (a == null) {
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return b;
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}
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if (b == null) {
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return a;
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}
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Set<String> community_set = new HashSet<>();
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a.getCommunityList().stream().forEach(aa -> community_set.add(aa));
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b.getCommunityList().stream().forEach(aa -> {
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if (!community_set.contains(aa)) {
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a.getCommunityList().add(aa);
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community_set.add(aa);
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}
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});
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return a;
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})
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.map(c -> c._2())
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.map(r -> OBJECT_MAPPER.writeValueAsString(r))
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.saveAsTextFile(outputPath, GzipCodec.class);
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}
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private static Dataset<ResultCommunityList> readResultCommunityList(SparkSession spark, String relationPath) {
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return spark
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.read()
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.textFile(relationPath)
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.map(value -> OBJECT_MAPPER.readValue(value, ResultCommunityList.class), Encoders.bean(ResultCommunityList.class));
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}
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}
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@ -1,4 +1,4 @@
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package eu.dnetlib.dhp.communitytoresultthroughsemrel;
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package eu.dnetlib.dhp.resulttocommunityfromsemrel;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.QueryInformationSystem;
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@ -33,7 +33,8 @@ public class SparkResultToCommunityThroughSemRelJob {
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System.out.println(key + " = " + parser.get(key));
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}
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/* SparkConf conf = new SparkConf();
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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 SparkSession spark = SparkSession
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.builder()
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@ -45,7 +46,7 @@ public class SparkResultToCommunityThroughSemRelJob {
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
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final String inputPath = parser.get("sourcePath");
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final String outputPath = "/tmp/provision/propagation/communitytoresultthroughsemrel";
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final String outputPath = "/tmp/provision/propagation/resulttocommunityfromsemrel";
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//final List<String> allowedsemrel = Arrays.asList(parser.get("allowedsemrels").split(";"));
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final List<String> allowedsemrel = Arrays.asList("isSupplementedBy", "isSupplementTo");
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software.createOrReplaceTempView("software");
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other.createOrReplaceTempView("other");
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org.apache.spark.sql.Dataset<Row> publication_context = getContext(spark, "publication");
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publication_context.createOrReplaceTempView("publication_context");
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// org.apache.spark.sql.Dataset<Row> publication_context = getContext(spark, "publication");
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// publication_context.createOrReplaceTempView("publication_context");
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org.apache.spark.sql.Dataset<Row> publication_context = spark.sql( "SELECT relation.source, " +
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"publication.context , relation.target " +
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"FROM publication " +
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" JOIN relation " +
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"ON id = source");
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org.apache.spark.sql.Dataset<Row> dataset_context = getContext(spark, "dataset");
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dataset_context.createOrReplaceTempView("dataset_context");
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*/
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}
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/* private static org.apache.spark.sql.Dataset<Row> getUpdateCommunitiesForTable(SparkSession spark, String table){
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private static org.apache.spark.sql.Dataset<Row> getUpdateCommunitiesForTable(SparkSession spark, String table){
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String query = "SELECT target_id, collect_set(co.id) context_id " +
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" FROM (SELECT t.id target_id, s.context source_context " +
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" FROM context_software s " +
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" FROM other_context o " +
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" JOIN " + table + " t " +
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" ON o.target = t.id) TMP " +
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" LATERAL VIEW EXPLORE(source_context) MyT as co " +
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" LATERAL VIEW EXPLODE(source_context) MyT as co " +
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" GROUP BY target_id" ;
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return spark.sql(query);
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private static org.apache.spark.sql.Dataset<Row> getContext(SparkSession spark, String table){
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String query = "SELECT source, context , target " +
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String query = "SELECT relation.source, " + table +".context , relation.target " +
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"FROM " + table +
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" JOIN relation " +
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"ON id = source" ;
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return tp;
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}
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return null;
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}*/
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}
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}
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@ -1,6 +1,6 @@
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package eu.dnetlib.dhp.resulttocommunityfromsemrel;
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import com.cloudera.com.fasterxml.jackson.databind.ObjectMapper;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.QueryInformationSystem;
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import eu.dnetlib.dhp.TypedRow;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import static eu.dnetlib.dhp.PropagationConstant.*;
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public class SparkResultToCommunityThroughSemRelJob {
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public class SparkResultToCommunityThroughSemRelJob2 {
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public static void main(String[] args) throws Exception {
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(IOUtils
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.toString(SparkResultToCommunityThroughSemRelJob.class
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.toString(SparkResultToCommunityThroughSemRelJob2.class
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.getResourceAsStream("/eu/dnetlib/dhp/resulttocommunityfromsemrel/input_propagationresultcommunityfromsemrel_parameters.json")));
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parser.parseArgument(args);
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for(String key : parser.getObjectMap().keySet()){
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System.out.println(key + " = " + parser.get(key));
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}
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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 SparkSession spark = SparkSession
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.builder()
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.appName(SparkResultToCommunityThroughSemRelJob.class.getSimpleName())
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.appName(SparkResultToCommunityThroughSemRelJob2.class.getSimpleName())
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.master(parser.get("master"))
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.config(conf)
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.enableHiveSupport()
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final String inputPath = parser.get("sourcePath");
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final String outputPath = "/tmp/provision/propagation/resulttocommunityfromsemrel";
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//final List<String> allowedsemrel = Arrays.asList(parser.get("allowedsemrels").split(";"));
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final List<String> allowedsemrel = Arrays.asList("isSupplementedBy", "isSupplementTo");
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//final List<String> communityIdList = QueryInformationSystem.getCommunityList(parser.get("isLookupUrl"));
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final List<String> communityIdList = QueryInformationSystem.getCommunityList("http://beta.services.openaire.eu:8280/is/services/isLookUp");
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final List<String> allowedsemrel = Arrays.asList(parser.get("allowedsemrels").split(";"));
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//final List<String> allowedsemrel = Arrays.asList("isSupplementedBy", "isSupplementTo");
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final List<String> communityIdList = QueryInformationSystem.getCommunityList(parser.get("isLookupUrl"));
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//final List<String> communityIdList = QueryInformationSystem.getCommunityList("http://beta.services.openaire.eu:8280/is/services/isLookUp");
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createOutputDirs(outputPath, FileSystem.get(spark.sparkContext().hadoopConfiguration()));
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JavaRDD<Publication> all_publication_rdd = sc.textFile(inputPath + "/publication")
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.map(item -> new ObjectMapper().readValue(item, Publication.class))
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.filter(p -> !p.getDataInfo().getDeletedbyinference()).cache();
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JavaRDD<Publication> publication_rdd = all_publication_rdd
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.filter(p -> relatedToCommunities(p, communityIdList)).cache();
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JavaRDD<Publication> publication_rdd = sc.textFile(inputPath + "/publication")
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.map(item -> new ObjectMapper().readValue(item, Publication.class));
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JavaRDD<Dataset> all_dataset_rdd = sc.textFile(inputPath + "/dataset")
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.map(item -> new ObjectMapper().readValue(item, Dataset.class))
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.filter(p -> !p.getDataInfo().getDeletedbyinference()).cache();
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JavaRDD<Dataset> dataset_rdd = all_dataset_rdd
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.filter(p -> relatedToCommunities(p, communityIdList)).cache();
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JavaRDD<OtherResearchProduct> all_orp_rdd = sc.textFile(inputPath + "/otherresearchproduct")
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.map(item -> new ObjectMapper().readValue(item, OtherResearchProduct.class))
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.filter(p -> !p.getDataInfo().getDeletedbyinference()).cache();
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JavaRDD<OtherResearchProduct> orp_rdd = all_orp_rdd.filter(p -> relatedToCommunities(p, communityIdList)).cache();
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JavaRDD<Software> all_software_rdd = sc.textFile(inputPath + "/software")
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.map(item -> new ObjectMapper().readValue(item, Software.class))
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.filter(p -> !p.getDataInfo().getDeletedbyinference()).cache();
|
||||
JavaRDD<Software> software_rdd = all_software_rdd.filter(p -> relatedToCommunities(p, communityIdList)).cache();
|
||||
System.out.println(publication_rdd.count());
|
||||
// JavaRDD<Dataset> dataset_rdd = sc.textFile(inputPath + "/dataset")
|
||||
// .map(item -> new ObjectMapper().readValue(item, Dataset.class));
|
||||
//
|
||||
// JavaRDD<OtherResearchProduct> orp_rdd = sc.textFile(inputPath + "/otherresearchproduct")
|
||||
// .map(item -> new ObjectMapper().readValue(item, OtherResearchProduct.class));
|
||||
//
|
||||
// JavaRDD<Software> software_rdd = sc.textFile(inputPath + "/software")
|
||||
// .map(item -> new ObjectMapper().readValue(item, Software.class));
|
||||
|
||||
JavaRDD<Relation> relation_rdd = sc.textFile(inputPath + "/relation")
|
||||
.map(item -> new ObjectMapper().readValue(item, Relation.class))
|
||||
.filter(r -> !r.getDataInfo().getDeletedbyinference())
|
||||
.filter(r -> allowedsemrel.contains(r.getRelClass()) && RELATION_RESULTRESULT_REL_TYPE.equals(r.getRelType())).cache();
|
||||
.map(item -> new ObjectMapper().readValue(item, Relation.class));
|
||||
|
||||
System.out.println(relation_rdd.count());
|
||||
|
||||
// .filter(r -> !r.getDataInfo().getDeletedbyinference())
|
||||
// .filter(r -> allowedsemrel.contains(r.getRelClass()) && RELATION_RESULTRESULT_REL_TYPE.equals(r.getRelType())).cache();
|
||||
|
||||
|
||||
org.apache.spark.sql.Dataset<Publication> publication = spark.createDataset(publication_rdd.rdd(),
|
||||
Encoders.bean(Publication.class));
|
||||
|
||||
org.apache.spark.sql.Dataset<Dataset> dataset = spark.createDataset(dataset_rdd.rdd(),
|
||||
Encoders.bean(Dataset.class));
|
||||
|
||||
org.apache.spark.sql.Dataset<OtherResearchProduct> other = spark.createDataset(orp_rdd.rdd(),
|
||||
Encoders.bean(OtherResearchProduct.class));
|
||||
|
||||
org.apache.spark.sql.Dataset<Software> software = spark.createDataset(software_rdd.rdd(),
|
||||
Encoders.bean(Software.class));
|
||||
|
||||
org.apache.spark.sql.Dataset<Relation> relation = spark.createDataset(relation_rdd.rdd(),
|
||||
Encoders.bean(Relation.class));
|
||||
|
||||
// org.apache.spark.sql.Dataset<Dataset> dataset = spark.createDataset(dataset_rdd.rdd(),
|
||||
// Encoders.bean(Dataset.class));
|
||||
//
|
||||
// org.apache.spark.sql.Dataset<OtherResearchProduct> other = spark.createDataset(orp_rdd.rdd(),
|
||||
// Encoders.bean(OtherResearchProduct.class));
|
||||
//
|
||||
// org.apache.spark.sql.Dataset<Software> software = spark.createDataset(software_rdd.rdd(),
|
||||
// Encoders.bean(Software.class));
|
||||
//
|
||||
// org.apache.spark.sql.Dataset<Relation> relation = spark.createDataset(relation_rdd.rdd(),
|
||||
// Encoders.bean(Relation.class));
|
||||
|
||||
publication.createOrReplaceTempView("publication");
|
||||
relation.createOrReplaceTempView("relation");
|
||||
dataset.createOrReplaceTempView("dataset");
|
||||
software.createOrReplaceTempView("software");
|
||||
other.createOrReplaceTempView("other");
|
||||
// relation.createOrReplaceTempView("relation");
|
||||
// dataset.createOrReplaceTempView("dataset");
|
||||
// software.createOrReplaceTempView("software");
|
||||
// other.createOrReplaceTempView("other");
|
||||
|
||||
// org.apache.spark.sql.Dataset<Row> publication_context = getContext(spark, "publication");
|
||||
// publication_context.createOrReplaceTempView("publication_context");
|
||||
String communitylist = getConstraintList(" co.id = '", communityIdList);
|
||||
|
||||
org.apache.spark.sql.Dataset<Row> publication_context = spark.sql( "SELECT relation.source, " +
|
||||
"publication.context , relation.target " +
|
||||
"FROM publication " +
|
||||
" JOIN relation " +
|
||||
"ON id = source");
|
||||
|
||||
org.apache.spark.sql.Dataset<Row> dataset_context = getContext(spark, "dataset");
|
||||
dataset_context.createOrReplaceTempView("dataset_context");
|
||||
|
||||
org.apache.spark.sql.Dataset<Row> software_context = getContext(spark, "software");
|
||||
software_context.createOrReplaceTempView("software_context");
|
||||
|
||||
org.apache.spark.sql.Dataset<Row> other_context = getContext(spark, "other");
|
||||
other_context.createOrReplaceTempView("other_context");
|
||||
|
||||
publication = spark.createDataset(all_publication_rdd.rdd(),
|
||||
Encoders.bean(Publication.class));
|
||||
publication.createOrReplaceTempView("publication");
|
||||
|
||||
dataset = spark.createDataset(all_dataset_rdd.rdd(),
|
||||
Encoders.bean(Dataset.class));
|
||||
dataset.createOrReplaceTempView("dataset");
|
||||
|
||||
other = spark.createDataset(all_orp_rdd.rdd(),
|
||||
Encoders.bean(OtherResearchProduct.class));
|
||||
other.createOrReplaceTempView("other");
|
||||
|
||||
software = spark.createDataset(all_software_rdd.rdd(),
|
||||
Encoders.bean(Software.class));
|
||||
software.createOrReplaceTempView("software");
|
||||
String semrellist = getConstraintList(" relClass = '", allowedsemrel );
|
||||
|
||||
|
||||
org.apache.spark.sql.Dataset<Row> toupdatesoftwareresult = getUpdateCommunitiesForTable(spark, "software");
|
||||
org.apache.spark.sql.Dataset<Row> toupdatedatasetresult = getUpdateCommunitiesForTable(spark, "dataset");
|
||||
org.apache.spark.sql.Dataset<Row> toupdatepublicationreresult = getUpdateCommunitiesForTable(spark, "publication");
|
||||
org.apache.spark.sql.Dataset<Row> toupdateotherresult = getUpdateCommunitiesForTable(spark, "other");
|
||||
|
||||
createUpdateForResultDatasetWrite(toupdatesoftwareresult.toJavaRDD(), outputPath, "software_update",
|
||||
PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
|
||||
createUpdateForResultDatasetWrite(toupdatedatasetresult.toJavaRDD(), outputPath, "dataset_update",
|
||||
PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
|
||||
createUpdateForResultDatasetWrite(toupdatepublicationreresult.toJavaRDD(), outputPath, "publication_update",
|
||||
PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
|
||||
createUpdateForResultDatasetWrite(toupdateotherresult.toJavaRDD(), outputPath, "other_update",
|
||||
PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
String query = "Select source, community_context, target " +
|
||||
"from (select id, collect_set(co.id) community_context " +
|
||||
"from publication " +
|
||||
"lateral view explode (context) c as co " +
|
||||
"where datainfo.deletedbyinference = false "+ communitylist +
|
||||
" group by id) p " +
|
||||
"JOIN " +
|
||||
"(select * " +
|
||||
"from relation " +
|
||||
"where datainfo.deletedbyinference = false and (relClass = 'isSupplementedBy' OR relClass = 'isSupplementTo')) r " +
|
||||
"ON p.id = r.source";
|
||||
|
||||
|
||||
updateForDatasetDataset(toupdatedatasetresult.toJavaRDD(), dataset.toJavaRDD(), outputPath, "dataset",
|
||||
PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
org.apache.spark.sql.Dataset<Row> publication_context = spark.sql( query);
|
||||
publication_context.createOrReplaceTempView("publication_context");
|
||||
|
||||
updateForOtherDataset(toupdateotherresult.toJavaRDD(), other.toJavaRDD(), outputPath, "otherresearchproduct",
|
||||
PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
//( source, (mes, dh-ch-, ni), target )
|
||||
query = "select target , collect_set(co) " +
|
||||
"from (select target, community_context " +
|
||||
"from publication_context pc join publication p on " +
|
||||
"p.id = pc.source) tmp " +
|
||||
"lateral view explode (community_context) c as co " +
|
||||
"group by target";
|
||||
|
||||
updateForSoftwareDataset(toupdatesoftwareresult.toJavaRDD(), software.toJavaRDD(), outputPath, "software",
|
||||
PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
|
||||
updateForPublicationDataset(toupdatepublicationreresult.toJavaRDD(), publication.toJavaRDD(), outputPath, "publication",
|
||||
PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
|
||||
org.apache.spark.sql.Dataset<Row> toupdatepublicationreresult = spark.sql(query);
|
||||
|
||||
System.out.println(toupdatepublicationreresult.count());
|
||||
|
||||
toupdatepublicationreresult.toJavaRDD()
|
||||
.map(r -> {
|
||||
TypedRow tp = new TypedRow();
|
||||
tp.setSourceId(r.getString(0));
|
||||
r.getList(1).stream().forEach(c -> tp.add((String)c));
|
||||
return tp;
|
||||
})
|
||||
.map(tr -> new ObjectMapper().writeValueAsString(tr))
|
||||
.saveAsTextFile(outputPath + "/community2semrelonpublication");
|
||||
// toupdatepublicationreresult.toJavaRDD().flatMap(c -> {
|
||||
//
|
||||
// String source = c.getString(0);
|
||||
// List<Relation> relation_list = new ArrayList<>();
|
||||
// c.getList(1).stream()
|
||||
// .forEach(res -> {
|
||||
// Relation r = new Relation();
|
||||
// r.setSource(source);
|
||||
// r.setTarget((String)res);
|
||||
// r.setRelClass("produces");
|
||||
// relation_list.add(r);
|
||||
// r = new Relation();
|
||||
// r.setSource((String)res);
|
||||
// r.setTarget(source);
|
||||
// r.setRelClass("isProducedBy");
|
||||
// relation_list.add(r);
|
||||
// });
|
||||
// return relation_list.iterator();
|
||||
// }).map(tr -> new ObjectMapper().writeValueAsString(tr))
|
||||
// .saveAsTextFile(outputPath + "/community2semrel");
|
||||
//
|
||||
|
||||
// org.apache.spark.sql.Dataset<Row> toupdatesoftwareresult = getUpdateCommunitiesForTable(spark, "software");
|
||||
// org.apache.spark.sql.Dataset<Row> toupdatedatasetresult = getUpdateCommunitiesForTable(spark, "dataset");
|
||||
// org.apache.spark.sql.Dataset<Row> toupdatepublicationreresult = getUpdateCommunitiesForTable(spark, "publication");
|
||||
// org.apache.spark.sql.Dataset<Row> toupdateotherresult = getUpdateCommunitiesForTable(spark, "other");
|
||||
|
||||
// createUpdateForResultDatasetWrite(toupdatesoftwareresult.toJavaRDD(), outputPath, "software_update",
|
||||
// PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
//
|
||||
// createUpdateForResultDatasetWrite(toupdatedatasetresult.toJavaRDD(), outputPath, "dataset_update",
|
||||
// PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
|
||||
// createUpdateForResultDatasetWrite(toupdatepublicationreresult.toJavaRDD(), outputPath, "publication_update",
|
||||
// PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
|
||||
// createUpdateForResultDatasetWrite(toupdateotherresult.toJavaRDD(), outputPath, "other_update",
|
||||
// PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
//
|
||||
//
|
||||
// updateForDatasetDataset(toupdatedatasetresult.toJavaRDD(), dataset.toJavaRDD(), outputPath, "dataset",
|
||||
// PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
//
|
||||
// updateForOtherDataset(toupdateotherresult.toJavaRDD(), other.toJavaRDD(), outputPath, "otherresearchproduct",
|
||||
// PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
//
|
||||
// updateForSoftwareDataset(toupdatesoftwareresult.toJavaRDD(), software.toJavaRDD(), outputPath, "software",
|
||||
// PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
//
|
||||
// updateForPublicationDataset(toupdatepublicationreresult.toJavaRDD(), publication.toJavaRDD(), outputPath, "publication",
|
||||
// PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
//
|
||||
|
||||
/*
|
||||
JavaPairRDD<String, TypedRow> resultLinkedToCommunities = publication
|
||||
|
|
|
@ -1,6 +1,6 @@
|
|||
package eu.dnetlib.dhp.resulttocommunityfromsemrel;
|
||||
|
||||
import com.cloudera.com.fasterxml.jackson.databind.ObjectMapper;
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
import eu.dnetlib.dhp.QueryInformationSystem;
|
||||
import eu.dnetlib.dhp.TypedRow;
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||
|
@ -21,11 +21,11 @@ import java.util.stream.Collectors;
|
|||
|
||||
import static eu.dnetlib.dhp.PropagationConstant.*;
|
||||
|
||||
public class SparkResultToCommunityThroughSemRelJob2 {
|
||||
public class SparkResultToCommunityThroughSemRelJob3 {
|
||||
public static void main(String[] args) throws Exception {
|
||||
|
||||
final ArgumentApplicationParser parser = new ArgumentApplicationParser(IOUtils
|
||||
.toString(SparkResultToCommunityThroughSemRelJob2.class
|
||||
.toString(SparkResultToCommunityThroughSemRelJob3.class
|
||||
.getResourceAsStream("/eu/dnetlib/dhp/resulttocommunityfromsemrel/input_propagationresultcommunityfromsemrel_parameters.json")));
|
||||
parser.parseArgument(args);
|
||||
|
||||
|
@ -33,7 +33,7 @@ public class SparkResultToCommunityThroughSemRelJob2 {
|
|||
conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
|
||||
final SparkSession spark = SparkSession
|
||||
.builder()
|
||||
.appName(SparkResultToCommunityThroughSemRelJob2.class.getSimpleName())
|
||||
.appName(SparkResultToCommunityThroughSemRelJob3.class.getSimpleName())
|
||||
.master(parser.get("master"))
|
||||
.config(conf)
|
||||
.enableHiveSupport()
|
||||
|
@ -44,9 +44,8 @@ public class SparkResultToCommunityThroughSemRelJob2 {
|
|||
final String outputPath = "/tmp/provision/propagation/resulttocommunityfromsemrel";
|
||||
|
||||
final List<String> allowedsemrel = Arrays.asList(parser.get("allowedsemrels").split(";"));
|
||||
//final List<String> allowedsemrel = Arrays.asList("isSupplementedBy", "isSupplementTo");
|
||||
|
||||
final List<String> communityIdList = QueryInformationSystem.getCommunityList(parser.get("isLookupUrl"));
|
||||
//final List<String> communityIdList = QueryInformationSystem.getCommunityList("http://beta.services.openaire.eu:8280/is/services/isLookUp");
|
||||
|
||||
createOutputDirs(outputPath, FileSystem.get(spark.sparkContext().hadoopConfiguration()));
|
||||
|
||||
|
@ -54,21 +53,18 @@ public class SparkResultToCommunityThroughSemRelJob2 {
|
|||
JavaRDD<Publication> publication_rdd = sc.textFile(inputPath + "/publication")
|
||||
.map(item -> new ObjectMapper().readValue(item, Publication.class));
|
||||
|
||||
// JavaRDD<Dataset> dataset_rdd = sc.textFile(inputPath + "/dataset")
|
||||
// .map(item -> new ObjectMapper().readValue(item, Dataset.class));
|
||||
//
|
||||
// JavaRDD<OtherResearchProduct> orp_rdd = sc.textFile(inputPath + "/otherresearchproduct")
|
||||
// .map(item -> new ObjectMapper().readValue(item, OtherResearchProduct.class));
|
||||
//
|
||||
// JavaRDD<Software> software_rdd = sc.textFile(inputPath + "/software")
|
||||
// .map(item -> new ObjectMapper().readValue(item, Software.class));
|
||||
JavaRDD<Dataset> dataset_rdd = sc.textFile(inputPath + "/dataset")
|
||||
.map(item -> new ObjectMapper().readValue(item, Dataset.class));
|
||||
|
||||
JavaRDD<OtherResearchProduct> orp_rdd = sc.textFile(inputPath + "/otherresearchproduct")
|
||||
.map(item -> new ObjectMapper().readValue(item, OtherResearchProduct.class));
|
||||
|
||||
JavaRDD<Software> software_rdd = sc.textFile(inputPath + "/software")
|
||||
.map(item -> new ObjectMapper().readValue(item, Software.class));
|
||||
|
||||
JavaRDD<Relation> relation_rdd = sc.textFile(inputPath + "/relation")
|
||||
.map(item -> new ObjectMapper().readValue(item, Relation.class));
|
||||
|
||||
// .filter(r -> !r.getDataInfo().getDeletedbyinference())
|
||||
// .filter(r -> allowedsemrel.contains(r.getRelClass()) && RELATION_RESULTRESULT_REL_TYPE.equals(r.getRelType())).cache();
|
||||
|
||||
|
||||
org.apache.spark.sql.Dataset<Publication> publication = spark.createDataset(publication_rdd.rdd(),
|
||||
Encoders.bean(Publication.class));
|
||||
|
@ -76,24 +72,21 @@ public class SparkResultToCommunityThroughSemRelJob2 {
|
|||
org.apache.spark.sql.Dataset<Relation> relation = spark.createDataset(relation_rdd.rdd(),
|
||||
Encoders.bean(Relation.class));
|
||||
|
||||
// org.apache.spark.sql.Dataset<Dataset> dataset = spark.createDataset(dataset_rdd.rdd(),
|
||||
// Encoders.bean(Dataset.class));
|
||||
//
|
||||
// org.apache.spark.sql.Dataset<OtherResearchProduct> other = spark.createDataset(orp_rdd.rdd(),
|
||||
// Encoders.bean(OtherResearchProduct.class));
|
||||
//
|
||||
// org.apache.spark.sql.Dataset<Software> software = spark.createDataset(software_rdd.rdd(),
|
||||
// Encoders.bean(Software.class));
|
||||
//
|
||||
// org.apache.spark.sql.Dataset<Relation> relation = spark.createDataset(relation_rdd.rdd(),
|
||||
// Encoders.bean(Relation.class));
|
||||
org.apache.spark.sql.Dataset<Dataset> dataset = spark.createDataset(dataset_rdd.rdd(),
|
||||
Encoders.bean(Dataset.class));
|
||||
|
||||
org.apache.spark.sql.Dataset<OtherResearchProduct> other = spark.createDataset(orp_rdd.rdd(),
|
||||
Encoders.bean(OtherResearchProduct.class));
|
||||
|
||||
org.apache.spark.sql.Dataset<Software> software = spark.createDataset(software_rdd.rdd(),
|
||||
Encoders.bean(Software.class));
|
||||
|
||||
|
||||
publication.createOrReplaceTempView("publication");
|
||||
relation.createOrReplaceTempView("relation");
|
||||
// relation.createOrReplaceTempView("relation");
|
||||
// dataset.createOrReplaceTempView("dataset");
|
||||
// software.createOrReplaceTempView("software");
|
||||
// other.createOrReplaceTempView("other");
|
||||
dataset.createOrReplaceTempView("dataset");
|
||||
software.createOrReplaceTempView("software");
|
||||
other.createOrReplaceTempView("other");
|
||||
|
||||
String communitylist = getConstraintList(" co.id = '", communityIdList);
|
||||
|
||||
|
@ -109,7 +102,7 @@ public class SparkResultToCommunityThroughSemRelJob2 {
|
|||
"JOIN " +
|
||||
"(select * " +
|
||||
"from relation " +
|
||||
"where datainfo.deletedbyinference = false and (relClass = 'isSupplementedBy' OR relClass = 'isSupplementTo')) r " +
|
||||
"where datainfo.deletedbyinference = false " + semrellist + ") r " +
|
||||
"ON p.id = r.source";
|
||||
|
||||
|
||||
|
@ -127,37 +120,33 @@ public class SparkResultToCommunityThroughSemRelJob2 {
|
|||
|
||||
|
||||
org.apache.spark.sql.Dataset<Row> toupdatepublicationreresult = spark.sql(query);
|
||||
org.apache.spark.sql.Dataset<Row> toupdatesoftwareresult = getUpdateCommunitiesForTable(spark, "software");
|
||||
org.apache.spark.sql.Dataset<Row> toupdatedatasetresult = getUpdateCommunitiesForTable(spark, "dataset");
|
||||
org.apache.spark.sql.Dataset<Row> toupdateotherresult = getUpdateCommunitiesForTable(spark, "other");
|
||||
|
||||
createUpdateForResultDatasetWrite(toupdatesoftwareresult.toJavaRDD(), outputPath, "software_update",
|
||||
PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
|
||||
// org.apache.spark.sql.Dataset<Row> toupdatesoftwareresult = getUpdateCommunitiesForTable(spark, "software");
|
||||
// org.apache.spark.sql.Dataset<Row> toupdatedatasetresult = getUpdateCommunitiesForTable(spark, "dataset");
|
||||
// org.apache.spark.sql.Dataset<Row> toupdatepublicationreresult = getUpdateCommunitiesForTable(spark, "publication");
|
||||
// org.apache.spark.sql.Dataset<Row> toupdateotherresult = getUpdateCommunitiesForTable(spark, "other");
|
||||
|
||||
// createUpdateForResultDatasetWrite(toupdatesoftwareresult.toJavaRDD(), outputPath, "software_update",
|
||||
// PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
//
|
||||
// createUpdateForResultDatasetWrite(toupdatedatasetresult.toJavaRDD(), outputPath, "dataset_update",
|
||||
// PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
createUpdateForResultDatasetWrite(toupdatedatasetresult.toJavaRDD(), outputPath, "dataset_update",
|
||||
PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
|
||||
createUpdateForResultDatasetWrite(toupdatepublicationreresult.toJavaRDD(), outputPath, "publication_update",
|
||||
PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
|
||||
// createUpdateForResultDatasetWrite(toupdateotherresult.toJavaRDD(), outputPath, "other_update",
|
||||
// PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
//
|
||||
//
|
||||
// updateForDatasetDataset(toupdatedatasetresult.toJavaRDD(), dataset.toJavaRDD(), outputPath, "dataset",
|
||||
// PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
//
|
||||
// updateForOtherDataset(toupdateotherresult.toJavaRDD(), other.toJavaRDD(), outputPath, "otherresearchproduct",
|
||||
// PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
//
|
||||
// updateForSoftwareDataset(toupdatesoftwareresult.toJavaRDD(), software.toJavaRDD(), outputPath, "software",
|
||||
// PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
//
|
||||
// updateForPublicationDataset(toupdatepublicationreresult.toJavaRDD(), publication.toJavaRDD(), outputPath, "publication",
|
||||
// PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
createUpdateForResultDatasetWrite(toupdateotherresult.toJavaRDD(), outputPath, "other_update",
|
||||
PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
|
||||
updateForDatasetDataset(toupdatedatasetresult.toJavaRDD(), dataset.toJavaRDD(), outputPath, "dataset",
|
||||
PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
|
||||
updateForOtherDataset(toupdateotherresult.toJavaRDD(), other.toJavaRDD(), outputPath, "otherresearchproduct",
|
||||
PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
|
||||
updateForSoftwareDataset(toupdatesoftwareresult.toJavaRDD(), software.toJavaRDD(), outputPath, "software",
|
||||
PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
|
||||
updateForPublicationDataset(toupdatepublicationreresult.toJavaRDD(), publication.toJavaRDD(), outputPath, "publication",
|
||||
PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_ID, PROPAGATION_RESULT_COMMUNITY_SEMREL_CLASS_NAME, communityIdList);
|
||||
//
|
||||
|
||||
/*
|
||||
|
|
|
@ -0,0 +1,33 @@
|
|||
[
|
||||
{
|
||||
"paramName":"s",
|
||||
"paramLongName":"sourcePath",
|
||||
"paramDescription": "the path of the sequencial file to read",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName":"ocm",
|
||||
"paramLongName":"organizationtoresultcommunitymap",
|
||||
"paramDescription": "the map for the association organization communities",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName":"h",
|
||||
"paramLongName":"hive_metastore_uris",
|
||||
"paramDescription": "the hive metastore uris",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName":"wu",
|
||||
"paramLongName":"writeUpdate",
|
||||
"paramDescription": "true if the update must be writte. No double check if information is already present",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName":"sg",
|
||||
"paramLongName":"saveGraph",
|
||||
"paramDescription": "true if the new version of the graph must be saved",
|
||||
"paramRequired": true
|
||||
}
|
||||
|
||||
]
|
Loading…
Reference in New Issue