master #59
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@ -5,7 +5,6 @@ import java.util.ArrayList;
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import java.util.List;
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import java.util.List;
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import java.util.Optional;
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import java.util.Optional;
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import org.apache.hadoop.conf.Configuration;
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import org.apache.spark.api.java.function.MapFunction;
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import org.apache.spark.api.java.function.MapFunction;
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import org.apache.spark.sql.Dataset;
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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.Encoders;
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@ -72,6 +71,9 @@ public class PropagationConstant {
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public static final String PROPAGATION_RESULT_COMMUNITY_ORGANIZATION_CLASS_ID = "result:community:organization";
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public static final String PROPAGATION_RESULT_COMMUNITY_ORGANIZATION_CLASS_ID = "result:community:organization";
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public static final String PROPAGATION_RESULT_COMMUNITY_ORGANIZATION_CLASS_NAME = " Propagation of result belonging to community through organization";
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public static final String PROPAGATION_RESULT_COMMUNITY_ORGANIZATION_CLASS_NAME = " Propagation of result belonging to community through organization";
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public static final String PROPAGATION_RESULT_COMMUNITY_PROJECT_CLASS_ID = "result:community:project";
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public static final String PROPAGATION_RESULT_COMMUNITY_PROJECT_CLASS_NAME = " Propagation of result belonging to community through project";
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public static final String PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_ID = "authorpid:result";
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public static final String PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_ID = "authorpid:result";
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public static final String PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_NAME = "Propagation of authors pid to result through semantic relations";
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public static final String PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_NAME = "Propagation of authors pid to result through semantic relations";
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@ -0,0 +1,124 @@
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package eu.dnetlib.dhp.resulttocommunityfromproject;
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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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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.util.*;
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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.function.MapFunction;
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import org.apache.spark.api.java.function.MapGroupsFunction;
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import org.apache.spark.sql.*;
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import org.apache.spark.sql.types.DataTypes;
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import org.apache.spark.sql.types.StructType;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import com.google.gson.Gson;
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import eu.dnetlib.dhp.api.Utils;
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import eu.dnetlib.dhp.api.model.CommunityEntityMap;
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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.resulttocommunityfromorganization.ResultOrganizations;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
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import eu.dnetlib.dhp.schema.oaf.Relation;
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import scala.Tuple2;
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public class PrepareResultCommunitySet {
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private static final Logger log = LoggerFactory.getLogger(PrepareResultCommunitySet.class);
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public static void main(String[] args) throws Exception {
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String jsonConfiguration = IOUtils
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.toString(
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PrepareResultCommunitySet.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/resulttocommunityfromproject/input_preparecommunitytoresult_parameters.json"));
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
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parser.parseArgument(args);
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Boolean isSparkSessionManaged = 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 boolean production = Boolean.valueOf(parser.get("production"));
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log.info("production: {}", production);
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final CommunityEntityMap projectsMap = Utils.getCommunityProjects(production);
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// log.info("projectsMap: {}", new Gson().toJson(projectsMap));
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SparkConf conf = new SparkConf();
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runWithSparkSession(
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conf,
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isSparkSessionManaged,
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spark -> {
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removeOutputDir(spark, outputPath);
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prepareInfo(spark, inputPath, outputPath, projectsMap);
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});
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}
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private static void prepareInfo(
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SparkSession spark,
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String inputPath,
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String outputPath,
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CommunityEntityMap projectMap) {
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final StructType structureSchema = new StructType()
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.add(
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"dataInfo", new StructType()
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.add("deletedbyinference", DataTypes.BooleanType)
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.add("invisible", DataTypes.BooleanType))
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.add("source", DataTypes.StringType)
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.add("target", DataTypes.StringType)
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.add("relClass", DataTypes.StringType);
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spark
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.read()
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.schema(structureSchema)
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.json(inputPath)
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.filter(
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"dataInfo.deletedbyinference != true " +
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"and relClass == '" + ModelConstants.IS_PRODUCED_BY + "'")
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.select(
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new Column("source").as("resultId"),
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new Column("target").as("projectId"))
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.groupByKey((MapFunction<Row, String>) r -> (String) r.getAs("resultId"), Encoders.STRING())
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.mapGroups((MapGroupsFunction<String, Row, ResultProjectList>) (k, v) -> {
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ResultProjectList rpl = new ResultProjectList();
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rpl.setResultId(k);
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ArrayList<String> cl = new ArrayList<>();
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cl.addAll(projectMap.get(v.next().getAs("projectId")));
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v.forEachRemaining(r -> {
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projectMap
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.get(r.getAs("projectId"))
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.forEach(c -> {
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if (!cl.contains(c))
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cl.add(c);
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});
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});
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if (cl.size() == 0)
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return null;
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rpl.setCommunityList(cl);
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return rpl;
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}, Encoders.bean(ResultProjectList.class))
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.filter(Objects::nonNull)
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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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}
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@ -0,0 +1,26 @@
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package eu.dnetlib.dhp.resulttocommunityfromproject;
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import java.io.Serializable;
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import java.util.ArrayList;
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public class ResultProjectList implements Serializable {
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private String resultId;
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private ArrayList<String> communityList;
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public String getResultId() {
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return resultId;
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}
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public void setResultId(String resultId) {
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this.resultId = resultId;
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}
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public ArrayList<String> getCommunityList() {
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return communityList;
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}
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public void setCommunityList(ArrayList<String> communityList) {
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this.communityList = communityList;
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}
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}
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@ -0,0 +1,163 @@
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package eu.dnetlib.dhp.resulttocommunityfromproject;
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import static eu.dnetlib.dhp.PropagationConstant.*;
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import static eu.dnetlib.dhp.PropagationConstant.PROPAGATION_RESULT_COMMUNITY_ORGANIZATION_CLASS_NAME;
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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.spark.SparkConf;
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import org.apache.spark.api.java.function.MapFunction;
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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 eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.resulttocommunityfromorganization.ResultCommunityList;
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import eu.dnetlib.dhp.resulttocommunityfromorganization.SparkResultToCommunityFromOrganizationJob;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
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import eu.dnetlib.dhp.schema.common.ModelSupport;
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import eu.dnetlib.dhp.schema.oaf.Context;
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import eu.dnetlib.dhp.schema.oaf.Result;
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import scala.Tuple2;
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/**
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* @author miriam.baglioni
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* @Date 11/10/23
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*/
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public class SparkResultToCommunityFromProject implements Serializable {
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private static final Logger log = LoggerFactory.getLogger(SparkResultToCommunityFromProject.class);
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public static void main(String[] args) throws Exception {
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String jsonConfiguration = IOUtils
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.toString(
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SparkResultToCommunityFromProject.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/resulttocommunityfromproject/input_communitytoresult_parameters.json"));
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
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parser.parseArgument(args);
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Boolean isSparkSessionManaged = 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 possibleupdatespath = parser.get("preparedInfoPath");
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log.info("preparedInfoPath: {}", possibleupdatespath);
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SparkConf conf = new SparkConf();
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runWithSparkSession(
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conf,
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isSparkSessionManaged,
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spark -> {
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execPropagation(spark, inputPath, outputPath, possibleupdatespath);
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});
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}
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private static <R extends Result> void execPropagation(
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SparkSession spark,
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String inputPath,
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String outputPath,
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String possibleUpdatesPath) {
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Dataset<ResultProjectList> possibleUpdates = readPath(spark, possibleUpdatesPath, ResultProjectList.class);
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ModelSupport.entityTypes
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.keySet()
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.parallelStream()
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.forEach(e -> {
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if (ModelSupport.isResult(e)) {
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removeOutputDir(spark, outputPath + e.name());
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Class<R> resultClazz = ModelSupport.entityTypes.get(e);
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Dataset<R> result = readPath(spark, inputPath + e.name(), resultClazz);
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result
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.joinWith(
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possibleUpdates,
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result.col("id").equalTo(possibleUpdates.col("resultId")),
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"left_outer")
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.map(resultCommunityFn(), Encoders.bean(resultClazz))
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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 + e.name());
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}
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});
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}
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private static <R extends Result> MapFunction<Tuple2<R, ResultProjectList>, R> resultCommunityFn() {
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return value -> {
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R ret = value._1();
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Optional<ResultProjectList> rcl = Optional.ofNullable(value._2());
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if (rcl.isPresent()) {
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// ArrayList<String> communitySet = rcl.get().getCommunityList();
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List<String> contextList = ret
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.getContext()
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.stream()
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.map(Context::getId)
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.collect(Collectors.toList());
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@SuppressWarnings("unchecked")
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R res = (R) ret.getClass().newInstance();
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res.setId(ret.getId());
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List<Context> propagatedContexts = new ArrayList<>();
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for (String cId : rcl.get().getCommunityList()) {
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if (!contextList.contains(cId)) {
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Context newContext = new Context();
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newContext.setId(cId);
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newContext
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.setDataInfo(
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Arrays
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.asList(
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|
getDataInfo(
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PROPAGATION_DATA_INFO_TYPE,
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PROPAGATION_RESULT_COMMUNITY_PROJECT_CLASS_ID,
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PROPAGATION_RESULT_COMMUNITY_PROJECT_CLASS_NAME,
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ModelConstants.DNET_PROVENANCE_ACTIONS)));
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propagatedContexts.add(newContext);
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} else {
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ret
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.getContext()
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.stream()
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.filter(c -> c.getId().equals(cId))
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.findFirst()
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.get()
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.getDataInfo()
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.add(
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|
getDataInfo(
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PROPAGATION_DATA_INFO_TYPE,
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PROPAGATION_RESULT_COMMUNITY_PROJECT_CLASS_ID,
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PROPAGATION_RESULT_COMMUNITY_PROJECT_CLASS_NAME,
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ModelConstants.DNET_PROVENANCE_ACTIONS));
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}
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}
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res.setContext(propagatedContexts);
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ret.mergeFrom(res);
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}
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return ret;
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};
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}
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}
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|
@ -0,0 +1,28 @@
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|
[
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|
{
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|
"paramName":"s",
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"paramLongName":"sourcePath",
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"paramDescription": "the path of the sequencial file to read",
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||||||
|
"paramRequired": true
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||||||
|
},
|
||||||
|
|
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|
{
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|
"paramName": "out",
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|
"paramLongName": "outputPath",
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|
"paramDescription": "the path used to store temporary output files",
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||||||
|
"paramRequired": true
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|
},
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|
{
|
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|
"paramName": "ssm",
|
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|
"paramLongName": "isSparkSessionManaged",
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|
"paramDescription": "true if the spark session is managed, false otherwise",
|
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|
"paramRequired": false
|
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|
},
|
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|
{
|
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|
"paramName": "p",
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|
"paramLongName": "preparedInfoPath",
|
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|
"paramDescription": "the path where prepared info have been stored",
|
||||||
|
"paramRequired": true
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|
}
|
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|
|
||||||
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]
|
|
@ -0,0 +1,28 @@
|
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|
[
|
||||||
|
{
|
||||||
|
"paramName":"s",
|
||||||
|
"paramLongName":"sourcePath",
|
||||||
|
"paramDescription": "the path of the sequencial file to read",
|
||||||
|
"paramRequired": true
|
||||||
|
},
|
||||||
|
|
||||||
|
{
|
||||||
|
"paramName": "ssm",
|
||||||
|
"paramLongName": "isSparkSessionManaged",
|
||||||
|
"paramDescription": "true if the spark session is managed, false otherwise",
|
||||||
|
"paramRequired": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "out",
|
||||||
|
"paramLongName": "outputPath",
|
||||||
|
"paramDescription": "the path used to store temporary output files",
|
||||||
|
"paramRequired": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"paramName": "p",
|
||||||
|
"paramLongName": "production",
|
||||||
|
"paramDescription": "the path used to store temporary output files",
|
||||||
|
"paramRequired": true
|
||||||
|
}
|
||||||
|
|
||||||
|
]
|
|
@ -0,0 +1,58 @@
|
||||||
|
<configuration>
|
||||||
|
<property>
|
||||||
|
<name>jobTracker</name>
|
||||||
|
<value>yarnRM</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>nameNode</name>
|
||||||
|
<value>hdfs://nameservice1</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>oozie.use.system.libpath</name>
|
||||||
|
<value>true</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>oozie.action.sharelib.for.spark</name>
|
||||||
|
<value>spark2</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>hive_metastore_uris</name>
|
||||||
|
<value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>spark2YarnHistoryServerAddress</name>
|
||||||
|
<value>http://iis-cdh5-test-gw.ocean.icm.edu.pl:18089</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>spark2EventLogDir</name>
|
||||||
|
<value>/user/spark/spark2ApplicationHistory</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>spark2ExtraListeners</name>
|
||||||
|
<value>com.cloudera.spark.lineage.NavigatorAppListener</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>spark2SqlQueryExecutionListeners</name>
|
||||||
|
<value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>sparkExecutorNumber</name>
|
||||||
|
<value>4</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>sparkDriverMemory</name>
|
||||||
|
<value>15G</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>sparkExecutorMemory</name>
|
||||||
|
<value>6G</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>sparkExecutorCores</name>
|
||||||
|
<value>1</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>spark2MaxExecutors</name>
|
||||||
|
<value>50</value>
|
||||||
|
</property>
|
||||||
|
</configuration>
|
|
@ -0,0 +1,144 @@
|
||||||
|
<workflow-app name="community_to_result_propagation_project" xmlns="uri:oozie:workflow:0.5">
|
||||||
|
<parameters>
|
||||||
|
<property>
|
||||||
|
<name>sourcePath</name>
|
||||||
|
<description>the source path</description>
|
||||||
|
</property>
|
||||||
|
|
||||||
|
<property>
|
||||||
|
<name>outputPath</name>
|
||||||
|
<description>the output path</description>
|
||||||
|
</property>
|
||||||
|
</parameters>
|
||||||
|
|
||||||
|
<global>
|
||||||
|
<job-tracker>${jobTracker}</job-tracker>
|
||||||
|
<name-node>${nameNode}</name-node>
|
||||||
|
<configuration>
|
||||||
|
<property>
|
||||||
|
<name>oozie.action.sharelib.for.spark</name>
|
||||||
|
<value>${oozieActionShareLibForSpark2}</value>
|
||||||
|
</property>
|
||||||
|
</configuration>
|
||||||
|
</global>
|
||||||
|
|
||||||
|
<start to="reset_outputpath"/>
|
||||||
|
|
||||||
|
<kill name="Kill">
|
||||||
|
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
|
||||||
|
</kill>
|
||||||
|
|
||||||
|
<action name="reset_outputpath">
|
||||||
|
<fs>
|
||||||
|
<delete path="${outputPath}"/>
|
||||||
|
<mkdir path="${outputPath}"/>
|
||||||
|
</fs>
|
||||||
|
<ok to="copy_entities"/>
|
||||||
|
<error to="Kill"/>
|
||||||
|
</action>
|
||||||
|
|
||||||
|
<fork name="copy_entities">
|
||||||
|
<path start="copy_relation"/>
|
||||||
|
<path start="copy_organization"/>
|
||||||
|
<path start="copy_projects"/>
|
||||||
|
<path start="copy_datasources"/>
|
||||||
|
</fork>
|
||||||
|
|
||||||
|
<action name="copy_relation">
|
||||||
|
<distcp xmlns="uri:oozie:distcp-action:0.2">
|
||||||
|
<arg>${nameNode}/${sourcePath}/relation</arg>
|
||||||
|
<arg>${nameNode}/${outputPath}/relation</arg>
|
||||||
|
</distcp>
|
||||||
|
<ok to="copy_wait"/>
|
||||||
|
<error to="Kill"/>
|
||||||
|
</action>
|
||||||
|
|
||||||
|
<action name="copy_organization">
|
||||||
|
<distcp xmlns="uri:oozie:distcp-action:0.2">
|
||||||
|
<arg>${nameNode}/${sourcePath}/organization</arg>
|
||||||
|
<arg>${nameNode}/${outputPath}/organization</arg>
|
||||||
|
</distcp>
|
||||||
|
<ok to="copy_wait"/>
|
||||||
|
<error to="Kill"/>
|
||||||
|
</action>
|
||||||
|
|
||||||
|
<action name="copy_projects">
|
||||||
|
<distcp xmlns="uri:oozie:distcp-action:0.2">
|
||||||
|
<arg>${nameNode}/${sourcePath}/project</arg>
|
||||||
|
<arg>${nameNode}/${outputPath}/project</arg>
|
||||||
|
</distcp>
|
||||||
|
<ok to="copy_wait"/>
|
||||||
|
<error to="Kill"/>
|
||||||
|
</action>
|
||||||
|
|
||||||
|
<action name="copy_datasources">
|
||||||
|
<distcp xmlns="uri:oozie:distcp-action:0.2">
|
||||||
|
<arg>${nameNode}/${sourcePath}/datasource</arg>
|
||||||
|
<arg>${nameNode}/${outputPath}/datasource</arg>
|
||||||
|
</distcp>
|
||||||
|
<ok to="copy_wait"/>
|
||||||
|
<error to="Kill"/>
|
||||||
|
</action>
|
||||||
|
|
||||||
|
<join name="copy_wait" to="prepare_result_communitylist"/>
|
||||||
|
|
||||||
|
<action name="prepare_result_communitylist">
|
||||||
|
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||||
|
<master>yarn</master>
|
||||||
|
<mode>cluster</mode>
|
||||||
|
<name>Prepare-Community-Result-Organization</name>
|
||||||
|
<class>eu.dnetlib.dhp.resulttocommunityfromproject.PrepareResultCommunitySet</class>
|
||||||
|
<jar>dhp-enrichment-${projectVersion}.jar</jar>
|
||||||
|
<spark-opts>
|
||||||
|
--executor-cores=6
|
||||||
|
--executor-memory=5G
|
||||||
|
--conf spark.executor.memoryOverhead=3g
|
||||||
|
--conf spark.sql.shuffle.partitions=3284
|
||||||
|
--driver-memory=${sparkDriverMemory}
|
||||||
|
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||||
|
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||||
|
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||||
|
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||||
|
|
||||||
|
--conf spark.dynamicAllocation.maxExecutors=${spark2MaxExecutors}
|
||||||
|
</spark-opts>
|
||||||
|
<arg>--sourcePath</arg><arg>${sourcePath}/relation</arg>
|
||||||
|
<arg>--outputPath</arg><arg>${workingDir}/preparedInfo/resultCommunityList</arg>
|
||||||
|
<arg>--production</arg><arg>${production}</arg>
|
||||||
|
</spark>
|
||||||
|
<ok to="exec-propagation"/>
|
||||||
|
<error to="Kill"/>
|
||||||
|
</action>
|
||||||
|
|
||||||
|
<action name="exec-propagation">
|
||||||
|
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||||
|
<master>yarn</master>
|
||||||
|
<mode>cluster</mode>
|
||||||
|
<name>community2resultfromproject</name>
|
||||||
|
<class>eu.dnetlib.dhp.resulttocommunityfromproject.SparkResultToCommunityFromProject</class>
|
||||||
|
<jar>dhp-enrichment-${projectVersion}.jar</jar>
|
||||||
|
<spark-opts>
|
||||||
|
--executor-cores=6
|
||||||
|
--executor-memory=5G
|
||||||
|
--conf spark.executor.memoryOverhead=3g
|
||||||
|
--conf spark.sql.shuffle.partitions=3284
|
||||||
|
--driver-memory=${sparkDriverMemory}
|
||||||
|
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||||
|
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||||
|
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||||
|
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||||
|
--conf spark.dynamicAllocation.maxExecutors=${spark2MaxExecutors}
|
||||||
|
</spark-opts>
|
||||||
|
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo/resultCommunityList</arg>
|
||||||
|
<arg>--sourcePath</arg><arg>${sourcePath}/</arg>
|
||||||
|
<arg>--outputPath</arg><arg>${outputPath}/</arg>
|
||||||
|
</spark>
|
||||||
|
<ok to="End"/>
|
||||||
|
<error to="Kill"/>
|
||||||
|
</action>
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
<end name="End"/>
|
||||||
|
|
||||||
|
</workflow-app>
|
|
@ -0,0 +1,133 @@
|
||||||
|
|
||||||
|
package eu.dnetlib.dhp.resulttocommunityfromproject;
|
||||||
|
|
||||||
|
import static org.apache.spark.sql.functions.desc;
|
||||||
|
|
||||||
|
import java.io.IOException;
|
||||||
|
import java.nio.file.Files;
|
||||||
|
import java.nio.file.Path;
|
||||||
|
import java.util.List;
|
||||||
|
|
||||||
|
import org.apache.commons.io.FileUtils;
|
||||||
|
import org.apache.spark.SparkConf;
|
||||||
|
import org.apache.spark.api.java.JavaRDD;
|
||||||
|
import org.apache.spark.api.java.JavaSparkContext;
|
||||||
|
import org.apache.spark.sql.Encoders;
|
||||||
|
import org.apache.spark.sql.Row;
|
||||||
|
import org.apache.spark.sql.SparkSession;
|
||||||
|
import org.junit.jupiter.api.AfterAll;
|
||||||
|
import org.junit.jupiter.api.Assertions;
|
||||||
|
import org.junit.jupiter.api.BeforeAll;
|
||||||
|
import org.junit.jupiter.api.Test;
|
||||||
|
import org.slf4j.Logger;
|
||||||
|
import org.slf4j.LoggerFactory;
|
||||||
|
|
||||||
|
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||||
|
|
||||||
|
import eu.dnetlib.dhp.orcidtoresultfromsemrel.OrcidPropagationJobTest;
|
||||||
|
import eu.dnetlib.dhp.resulttocommunityfromorganization.SparkResultToCommunityFromOrganizationJob;
|
||||||
|
import eu.dnetlib.dhp.schema.oaf.Context;
|
||||||
|
import eu.dnetlib.dhp.schema.oaf.Dataset;
|
||||||
|
|
||||||
|
public class ResultToCommunityJobTest {
|
||||||
|
|
||||||
|
private static final Logger log = LoggerFactory.getLogger(ResultToCommunityJobTest.class);
|
||||||
|
|
||||||
|
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
||||||
|
|
||||||
|
private static SparkSession spark;
|
||||||
|
|
||||||
|
private static Path workingDir;
|
||||||
|
|
||||||
|
@BeforeAll
|
||||||
|
public static void beforeAll() throws IOException {
|
||||||
|
workingDir = Files.createTempDirectory(ResultToCommunityJobTest.class.getSimpleName());
|
||||||
|
log.info("using work dir {}", workingDir);
|
||||||
|
|
||||||
|
SparkConf conf = new SparkConf();
|
||||||
|
conf.setAppName(ResultToCommunityJobTest.class.getSimpleName());
|
||||||
|
|
||||||
|
conf.setMaster("local[*]");
|
||||||
|
conf.set("spark.driver.host", "localhost");
|
||||||
|
conf.set("hive.metastore.local", "true");
|
||||||
|
conf.set("spark.ui.enabled", "false");
|
||||||
|
conf.set("spark.sql.warehouse.dir", workingDir.toString());
|
||||||
|
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
|
||||||
|
|
||||||
|
spark = SparkSession
|
||||||
|
.builder()
|
||||||
|
.appName(OrcidPropagationJobTest.class.getSimpleName())
|
||||||
|
.config(conf)
|
||||||
|
.getOrCreate();
|
||||||
|
}
|
||||||
|
|
||||||
|
@AfterAll
|
||||||
|
public static void afterAll() throws IOException {
|
||||||
|
FileUtils.deleteDirectory(workingDir.toFile());
|
||||||
|
spark.stop();
|
||||||
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
void testSparkResultToCommunityFromProjectJob() throws Exception {
|
||||||
|
final String preparedInfoPath = getClass()
|
||||||
|
.getResource("/eu/dnetlib/dhp/resulttocommunityfromproject/preparedInfo")
|
||||||
|
.getPath();
|
||||||
|
SparkResultToCommunityFromProject
|
||||||
|
.main(
|
||||||
|
new String[] {
|
||||||
|
|
||||||
|
"-isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||||
|
"-sourcePath", getClass()
|
||||||
|
.getResource("/eu/dnetlib/dhp/resulttocommunityfromproject/sample/")
|
||||||
|
.getPath(),
|
||||||
|
|
||||||
|
"-outputPath", workingDir.toString() + "/",
|
||||||
|
"-preparedInfoPath", preparedInfoPath
|
||||||
|
});
|
||||||
|
|
||||||
|
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||||
|
|
||||||
|
JavaRDD<Dataset> tmp = sc
|
||||||
|
.textFile(workingDir.toString() + "/dataset")
|
||||||
|
.map(item -> OBJECT_MAPPER.readValue(item, Dataset.class));
|
||||||
|
|
||||||
|
Assertions.assertEquals(10, tmp.count());
|
||||||
|
/**
|
||||||
|
* {"resultId":"50|57a035e5b1ae::d5be548ca7ae489d762f893be67af52f","communityList":["aurora"]}
|
||||||
|
* {"resultId":"50|57a035e5b1ae::a77232ffca9115fcad51c3503dbc7e3e","communityList":["aurora"]}
|
||||||
|
* {"resultId":"50|57a035e5b1ae::803aaad4decab7e27cd4b52a1931b3a1","communityList":["sdsn-gr"]}
|
||||||
|
* {"resultId":"50|57a035e5b1ae::a02e9e4087bca50687731ae5c765b5e1","communityList":["netherlands"]}
|
||||||
|
*/
|
||||||
|
List<Context> context = tmp
|
||||||
|
.filter(r -> r.getId().equals("50|57a035e5b1ae::d5be548ca7ae489d762f893be67af52f"))
|
||||||
|
.first()
|
||||||
|
.getContext();
|
||||||
|
Assertions.assertTrue(context.stream().anyMatch(c -> containsResultCommunityProject(c)));
|
||||||
|
|
||||||
|
context = tmp
|
||||||
|
.filter(r -> r.getId().equals("50|57a035e5b1ae::a77232ffca9115fcad51c3503dbc7e3e"))
|
||||||
|
.first()
|
||||||
|
.getContext();
|
||||||
|
Assertions.assertTrue(context.stream().anyMatch(c -> containsResultCommunityProject(c)));
|
||||||
|
|
||||||
|
Assertions
|
||||||
|
.assertEquals(
|
||||||
|
0, tmp.filter(r -> r.getId().equals("50|57a035e5b1ae::803aaad4decab7e27cd4b52a1931b3a1")).count());
|
||||||
|
|
||||||
|
Assertions
|
||||||
|
.assertEquals(
|
||||||
|
0, tmp.filter(r -> r.getId().equals("50|57a035e5b1ae::a02e9e4087bca50687731ae5c765b5e1")).count());
|
||||||
|
|
||||||
|
Assertions
|
||||||
|
.assertEquals(
|
||||||
|
2, tmp.filter(r -> r.getContext().stream().anyMatch(c -> c.getId().equals("aurora"))).count());
|
||||||
|
|
||||||
|
}
|
||||||
|
|
||||||
|
private static boolean containsResultCommunityProject(Context c) {
|
||||||
|
return c
|
||||||
|
.getDataInfo()
|
||||||
|
.stream()
|
||||||
|
.anyMatch(di -> di.getProvenanceaction().getClassid().equals("result:community:project"));
|
||||||
|
}
|
||||||
|
}
|
|
@ -0,0 +1,4 @@
|
||||||
|
{"resultId":"50|57a035e5b1ae::d5be548ca7ae489d762f893be67af52f","communityList":["aurora"]}
|
||||||
|
{"resultId":"50|57a035e5b1ae::a77232ffca9115fcad51c3503dbc7e3e","communityList":["aurora"]}
|
||||||
|
{"resultId":"50|57a035e5b1ae::803aaad4decab7e27cd4b52a1931b3a1","communityList":["sdsn-gr"]}
|
||||||
|
{"resultId":"50|57a035e5b1ae::a02e9e4087bca50687731ae5c765b5e1","communityList":["netherlands"]}
|
|
@ -0,0 +1,20 @@
|
||||||
|
{"subRelType": "affiliation", "relClass": "isProducedBy", "dataInfo": {"provenanceaction": {"classid": "iis", "classname": "Inferred by OpenAIRE", "schemeid": "dnet:provenanceActions", "schemename": "dnet:provenanceActions"}, "deletedbyinference": false, "inferred": true, "inferenceprovenance": "iis::document_affiliations", "invisible": false, "trust": "0.7731"}, "target": "40|corda__h2020::5c16b849965ee04493a5e244471aae16", "lastupdatetimestamp": 1694431186898, "relType": "resultOrganization", "source": "50|57a035e5b1ae::803aaad4decab7e27cd4b52a1931b3a1", "collectedfrom": [], "validated": false, "properties": []}
|
||||||
|
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Reference in New Issue