forked from D-Net/dnet-hadoop
implementation of the workflow for new organizations in openorgs
This commit is contained in:
parent
e3f7798d1b
commit
a2ac7e52fb
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@ -0,0 +1,145 @@
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package eu.dnetlib.dhp.oa.dedup;
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import java.io.IOException;
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import java.util.Optional;
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import java.util.Properties;
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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.FilterFunction;
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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.schema.common.ModelSupport;
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import eu.dnetlib.dhp.schema.oaf.Organization;
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import eu.dnetlib.dhp.schema.oaf.Relation;
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import eu.dnetlib.dhp.utils.ISLookupClientFactory;
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import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
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import scala.Tuple2;
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public class SparkPrepareNewOrgs extends AbstractSparkAction {
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private static final Logger log = LoggerFactory.getLogger(SparkCreateDedupRecord.class);
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public SparkPrepareNewOrgs(ArgumentApplicationParser parser, SparkSession spark) {
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super(parser, spark);
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}
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public static void main(String[] args) throws Exception {
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ArgumentApplicationParser parser = new ArgumentApplicationParser(
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IOUtils
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.toString(
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SparkPrepareNewOrgs.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/oa/dedup/prepareNewOrgs_parameters.json")));
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parser.parseArgument(args);
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SparkConf conf = new SparkConf();
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conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
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conf.registerKryoClasses(ModelSupport.getOafModelClasses());
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new SparkPrepareNewOrgs(parser, getSparkSession(conf))
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.run(ISLookupClientFactory.getLookUpService(parser.get("isLookUpUrl")));
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}
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@Override
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public void run(ISLookUpService isLookUpService) throws IOException {
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final String graphBasePath = parser.get("graphBasePath");
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final String isLookUpUrl = parser.get("isLookUpUrl");
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final String actionSetId = parser.get("actionSetId");
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final String workingPath = parser.get("workingPath");
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final int numConnections = Optional
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.ofNullable(parser.get("numConnections"))
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.map(Integer::valueOf)
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.orElse(NUM_CONNECTIONS);
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final String dbUrl = parser.get("dbUrl");
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final String dbTable = parser.get("dbTable");
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final String dbUser = parser.get("dbUser");
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final String dbPwd = parser.get("dbPwd");
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log.info("graphBasePath: '{}'", graphBasePath);
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log.info("isLookUpUrl: '{}'", isLookUpUrl);
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log.info("actionSetId: '{}'", actionSetId);
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log.info("workingPath: '{}'", workingPath);
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log.info("numPartitions: '{}'", numConnections);
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log.info("dbUrl: '{}'", dbUrl);
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log.info("dbUser: '{}'", dbUser);
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log.info("table: '{}'", dbTable);
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log.info("dbPwd: '{}'", "xxx");
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final String mergeRelPath = DedupUtility.createMergeRelPath(workingPath, actionSetId, "organization");
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final String entityPath = DedupUtility.createEntityPath(graphBasePath, "organization");
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Dataset<OrgSimRel> newOrgs = createNewOrgs(spark, mergeRelPath, entityPath);
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final Properties connectionProperties = new Properties();
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connectionProperties.put("user", dbUser);
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connectionProperties.put("password", dbPwd);
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newOrgs
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.repartition(numConnections)
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.write()
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.mode(SaveMode.Overwrite)
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.jdbc(dbUrl, dbTable, connectionProperties);
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}
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public static Dataset<OrgSimRel> createNewOrgs(
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final SparkSession spark,
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final String mergeRelsPath,
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final String entitiesPath) {
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// <id, json_entity>
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Dataset<Tuple2<String, Organization>> entities = spark
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.read()
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.textFile(entitiesPath)
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.map(
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(MapFunction<String, Tuple2<String, Organization>>) it -> {
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Organization entity = OBJECT_MAPPER.readValue(it, Organization.class);
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return new Tuple2<>(entity.getId(), entity);
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},
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Encoders.tuple(Encoders.STRING(), Encoders.kryo(Organization.class)));
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Dataset<Tuple2<String, String>> mergerels = spark
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.createDataset(
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spark
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.read()
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.load(mergeRelsPath)
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.as(Encoders.bean(Relation.class))
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.where("relClass == 'isMergedIn'")
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.toJavaRDD()
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.mapToPair(r -> new Tuple2<>(r.getSource(), r.getTarget()))
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.rdd(),
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Encoders.tuple(Encoders.STRING(), Encoders.STRING()));
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return entities
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.joinWith(mergerels, entities.col("_1").equalTo(mergerels.col("_1")), "left")
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.filter((FilterFunction<Tuple2<Tuple2<String, Organization>, Tuple2<String, String>>>) t -> t._2() == null)
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.filter(
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(FilterFunction<Tuple2<Tuple2<String, Organization>, Tuple2<String, String>>>) t -> !t
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._1()
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._1()
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.contains("openorgs"))
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.map(
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(MapFunction<Tuple2<Tuple2<String, Organization>, Tuple2<String, String>>, OrgSimRel>) r -> new OrgSimRel(
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"",
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r._1()._2().getOriginalId().get(0),
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r._1()._2().getLegalname() != null ? r._1()._2().getLegalname().getValue() : "",
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r._1()._2().getLegalshortname() != null ? r._1()._2().getLegalshortname().getValue() : "",
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r._1()._2().getCountry() != null ? r._1()._2().getCountry().getClassid() : "",
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r._1()._2().getWebsiteurl() != null ? r._1()._2().getWebsiteurl().getValue() : "",
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r._1()._2().getCollectedfrom().get(0).getValue()),
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Encoders.bean(OrgSimRel.class));
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}
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}
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@ -1,10 +1,11 @@
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package eu.dnetlib.dhp.oa.dedup;
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import static jdk.nashorn.internal.objects.NativeDebug.map;
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import java.io.IOException;
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import java.util.*;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.Optional;
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import java.util.Properties;
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import org.apache.commons.io.IOUtils;
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import org.apache.http.client.methods.CloseableHttpResponse;
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import org.apache.http.impl.client.CloseableHttpClient;
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import org.apache.http.impl.client.HttpClients;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.JavaRDD;
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import org.apache.spark.api.java.function.FilterFunction;
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import org.apache.spark.api.java.function.MapFunction;
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import org.apache.spark.api.java.function.MapGroupsFunction;
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import org.apache.spark.sql.Dataset;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.sql.SaveMode;
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import org.apache.spark.sql.SparkSession;
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import org.dom4j.DocumentException;
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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.schema.common.EntityType;
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import eu.dnetlib.dhp.schema.common.ModelSupport;
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import eu.dnetlib.dhp.schema.oaf.*;
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import eu.dnetlib.dhp.schema.oaf.Organization;
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import eu.dnetlib.dhp.schema.oaf.Relation;
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import eu.dnetlib.dhp.utils.ISLookupClientFactory;
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import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
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import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
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import eu.dnetlib.pace.config.DedupConfig;
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import scala.Tuple2;
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public class SparkPrepareOrgRels extends AbstractSparkAction {
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@ -28,8 +28,7 @@ public class SparkPropagateRelation extends AbstractSparkAction {
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SOURCE, TARGET
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}
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public SparkPropagateRelation(ArgumentApplicationParser parser, SparkSession spark)
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throws Exception {
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public SparkPropagateRelation(ArgumentApplicationParser parser, SparkSession spark) throws Exception {
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super(parser, spark);
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}
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@ -0,0 +1,18 @@
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<configuration>
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<property>
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<name>jobTracker</name>
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<value>yarnRM</value>
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</property>
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<property>
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<name>nameNode</name>
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<value>hdfs://nameservice1</value>
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</property>
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<property>
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<name>oozie.use.system.libpath</name>
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<value>true</value>
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</property>
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<property>
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<name>oozie.action.sharelib.for.spark</name>
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<value>spark2</value>
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</property>
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</configuration>
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<workflow-app name="Organization Dedup" xmlns="uri:oozie:workflow:0.5">
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<parameters>
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<property>
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<name>graphBasePath</name>
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<description>the raw graph base path</description>
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</property>
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<property>
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<name>isLookUpUrl</name>
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<description>the address of the lookUp service</description>
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</property>
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<property>
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<name>actionSetId</name>
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<description>id of the actionSet</description>
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</property>
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<property>
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<name>workingPath</name>
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<description>path for the working directory</description>
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</property>
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<property>
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<name>dedupGraphPath</name>
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<description>path for the output graph</description>
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</property>
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<property>
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<name>cutConnectedComponent</name>
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<description>max number of elements in a connected component</description>
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</property>
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<property>
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<name>dbUrl</name>
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<description>the url of the database</description>
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</property>
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<property>
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<name>dbUser</name>
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<description>the user of the database</description>
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</property>
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<property>
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<name>dbTable</name>
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<description>the name of the table in the database</description>
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</property>
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<property>
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<name>dbPwd</name>
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<description>the passowrd of the user of the database</description>
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</property>
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<property>
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<name>sparkDriverMemory</name>
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<description>memory for driver process</description>
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</property>
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<property>
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<name>sparkExecutorMemory</name>
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<description>memory for individual executor</description>
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</property>
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<property>
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<name>sparkExecutorCores</name>
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<description>number of cores used by single executor</description>
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</property>
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<property>
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<name>oozieActionShareLibForSpark2</name>
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<description>oozie action sharelib for spark 2.*</description>
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</property>
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<property>
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<name>spark2ExtraListeners</name>
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<value>com.cloudera.spark.lineage.NavigatorAppListener</value>
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<description>spark 2.* extra listeners classname</description>
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</property>
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<property>
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<name>spark2SqlQueryExecutionListeners</name>
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<value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
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<description>spark 2.* sql query execution listeners classname</description>
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</property>
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<property>
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<name>spark2YarnHistoryServerAddress</name>
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<description>spark 2.* yarn history server address</description>
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</property>
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<property>
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<name>spark2EventLogDir</name>
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<description>spark 2.* event log dir location</description>
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</property>
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</parameters>
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<global>
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<job-tracker>${jobTracker}</job-tracker>
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<name-node>${nameNode}</name-node>
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<configuration>
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<property>
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<name>mapreduce.job.queuename</name>
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<value>${queueName}</value>
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</property>
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<property>
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<name>oozie.launcher.mapred.job.queue.name</name>
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<value>${oozieLauncherQueueName}</value>
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</property>
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<property>
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<name>oozie.action.sharelib.for.spark</name>
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<value>${oozieActionShareLibForSpark2}</value>
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</property>
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</configuration>
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</global>
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<start to="resetWorkingPath"/>
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<kill name="Kill">
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<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
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</kill>
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<action name="resetWorkingPath">
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<fs>
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<delete path="${workingPath}"/>
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</fs>
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<ok to="copyRelations"/>
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<error to="Kill"/>
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</action>
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<action name="copyRelations">
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<distcp xmlns="uri:oozie:distcp-action:0.2">
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<arg>-pb</arg>
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<arg>${graphBasePath}/relation</arg>
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<arg>${workingPath}/${actionSetId}/organization_simrel</arg>
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</distcp>
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<ok to="CreateSimRel"/>
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<error to="Kill"/>
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</action>
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<action name="CreateSimRel">
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<spark xmlns="uri:oozie:spark-action:0.2">
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<master>yarn</master>
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<mode>cluster</mode>
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<name>Create Similarity Relations</name>
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<class>eu.dnetlib.dhp.oa.dedup.SparkCreateSimRels</class>
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<jar>dhp-dedup-openaire-${projectVersion}.jar</jar>
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<spark-opts>
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--executor-memory=${sparkExecutorMemory}
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--executor-cores=${sparkExecutorCores}
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--driver-memory=${sparkDriverMemory}
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--conf spark.extraListeners=${spark2ExtraListeners}
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--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
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--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
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--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
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--conf spark.sql.shuffle.partitions=3840
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</spark-opts>
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<arg>--graphBasePath</arg><arg>${graphBasePath}</arg>
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<arg>--isLookUpUrl</arg><arg>${isLookUpUrl}</arg>
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<arg>--actionSetId</arg><arg>${actionSetId}</arg>
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<arg>--workingPath</arg><arg>${workingPath}</arg>
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<arg>--numPartitions</arg><arg>8000</arg>
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</spark>
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<ok to="CreateMergeRel"/>
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<error to="Kill"/>
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</action>
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<action name="CreateMergeRel">
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<spark xmlns="uri:oozie:spark-action:0.2">
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<master>yarn</master>
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<mode>cluster</mode>
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<name>Create Merge Relations</name>
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<class>eu.dnetlib.dhp.oa.dedup.SparkCreateMergeRels</class>
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<jar>dhp-dedup-openaire-${projectVersion}.jar</jar>
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<spark-opts>
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--executor-memory=${sparkExecutorMemory}
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--executor-cores=${sparkExecutorCores}
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--driver-memory=${sparkDriverMemory}
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--conf spark.extraListeners=${spark2ExtraListeners}
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--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
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--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
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--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
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--conf spark.sql.shuffle.partitions=3840
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</spark-opts>
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<arg>--graphBasePath</arg><arg>${graphBasePath}</arg>
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<arg>--workingPath</arg><arg>${workingPath}</arg>
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<arg>--isLookUpUrl</arg><arg>${isLookUpUrl}</arg>
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<arg>--actionSetId</arg><arg>${actionSetId}</arg>
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<arg>--cutConnectedComponent</arg><arg>${cutConnectedComponent}</arg>
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</spark>
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<ok to="PrepareNewOrgs"/>
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<error to="Kill"/>
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</action>
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<action name="PrepareNewOrgs">
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<spark xmlns="uri:oozie:spark-action:0.2">
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<master>yarn</master>
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<mode>cluster</mode>
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<name>Prepare New Organizations</name>
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<class>eu.dnetlib.dhp.oa.dedup.SparkPrepareNewOrgs</class>
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<jar>dhp-dedup-openaire-${projectVersion}.jar</jar>
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<spark-opts>
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--executor-memory=${sparkExecutorMemory}
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--executor-cores=${sparkExecutorCores}
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--driver-memory=${sparkDriverMemory}
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--conf spark.extraListeners=${spark2ExtraListeners}
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--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
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--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
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--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
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--conf spark.sql.shuffle.partitions=3840
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</spark-opts>
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<arg>--graphBasePath</arg><arg>${graphBasePath}</arg>
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<arg>--workingPath</arg><arg>${workingPath}</arg>
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<arg>--isLookUpUrl</arg><arg>${isLookUpUrl}</arg>
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<arg>--actionSetId</arg><arg>${actionSetId}</arg>
|
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<arg>--dbUrl</arg><arg>${dbUrl}</arg>
|
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<arg>--dbTable</arg><arg>${dbTable}</arg>
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<arg>--dbUser</arg><arg>${dbUser}</arg>
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<arg>--dbPwd</arg><arg>${dbPwd}</arg>
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<arg>--numConnections</arg><arg>20</arg>
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</spark>
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<ok to="End"/>
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<error to="Kill"/>
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</action>
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<end name="End"/>
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</workflow-app>
|
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@ -0,0 +1,56 @@
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[
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{
|
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"paramName": "i",
|
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"paramLongName": "graphBasePath",
|
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"paramDescription": "the base path of raw graph",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "w",
|
||||
"paramLongName": "workingPath",
|
||||
"paramDescription": "the working directory path",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "la",
|
||||
"paramLongName": "isLookUpUrl",
|
||||
"paramDescription": "the url of the lookup service",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "asi",
|
||||
"paramLongName": "actionSetId",
|
||||
"paramDescription": "the id of the actionset (orchestrator)",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "nc",
|
||||
"paramLongName": "numConnections",
|
||||
"paramDescription": "number of connections to the postgres db (for the write operation)",
|
||||
"paramRequired": false
|
||||
},
|
||||
{
|
||||
"paramName": "du",
|
||||
"paramLongName": "dbUrl",
|
||||
"paramDescription": "the url of the database",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "dusr",
|
||||
"paramLongName": "dbUser",
|
||||
"paramDescription": "the user of the database",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "t",
|
||||
"paramLongName": "dbTable",
|
||||
"paramDescription": "the name of the table in the database",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "dpwd",
|
||||
"paramLongName": "dbPwd",
|
||||
"paramDescription": "the password for the user of the database",
|
||||
"paramRequired": true
|
||||
}
|
||||
]
|
|
@ -223,11 +223,11 @@ public class SparkDedupTest implements Serializable {
|
|||
});
|
||||
|
||||
new SparkCollectSimRels(
|
||||
parser,
|
||||
spark,
|
||||
spark.read().load(testDedupAssertionsBasePath + "/similarity_groups"),
|
||||
spark.read().load(testDedupAssertionsBasePath + "/groups"))
|
||||
.run(isLookUpService);
|
||||
parser,
|
||||
spark,
|
||||
spark.read().load(testDedupAssertionsBasePath + "/similarity_groups"),
|
||||
spark.read().load(testDedupAssertionsBasePath + "/groups"))
|
||||
.run(isLookUpService);
|
||||
|
||||
long orgs_simrel = spark
|
||||
.read()
|
||||
|
|
Loading…
Reference in New Issue