partial refactoring of some joins

This commit is contained in:
Michele Artini 2020-06-23 08:37:35 +02:00
parent 8a3bc7c183
commit af2f7705fc
9 changed files with 289 additions and 35 deletions

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@ -13,6 +13,7 @@ import org.apache.spark.sql.SaveMode;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.broker.objects.OaBrokerRelatedDataset;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.broker.oa.util.ClusterUtils;
import eu.dnetlib.dhp.broker.oa.util.ConversionUtils;
@ -52,18 +53,23 @@ public class PrepareRelatedDatasetsJob {
ClusterUtils.removeDir(spark, relsPath);
final Dataset<eu.dnetlib.dhp.schema.oaf.Dataset> datasets = ClusterUtils
.readPath(spark, graphPath + "/dataset", eu.dnetlib.dhp.schema.oaf.Dataset.class);
final Dataset<OaBrokerRelatedDataset> datasets = ClusterUtils
.readPath(spark, graphPath + "/dataset", eu.dnetlib.dhp.schema.oaf.Dataset.class)
.filter(d -> !ClusterUtils.isDedupRoot(d.getId()))
.map(ConversionUtils::oafDatasetToBrokerDataset, Encoders.bean(OaBrokerRelatedDataset.class));
final Dataset<Relation> rels = ClusterUtils.readPath(spark, graphPath + "/relation", Relation.class);
final Dataset<Relation> rels = ClusterUtils
.readPath(spark, graphPath + "/relation", Relation.class)
.filter(r -> !ClusterUtils.isDedupRoot(r.getSource()))
.filter(r -> !ClusterUtils.isDedupRoot(r.getTarget()));
rels
.joinWith(datasets, datasets.col("id").equalTo(rels.col("target")), "inner")
.joinWith(datasets, datasets.col("openaireId").equalTo(rels.col("target")), "inner")
.map(
t -> new RelatedDataset(
t._1.getSource(),
t._1.getRelType(),
ConversionUtils.oafDatasetToBrokerDataset(t._2)),
t._2),
Encoders.bean(RelatedDataset.class))
.write()
.mode(SaveMode.Overwrite)

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@ -62,7 +62,9 @@ public class PrepareRelatedProjectsJob {
final Dataset<Relation> rels = ClusterUtils
.readPath(spark, graphPath + "/relation", Relation.class)
.filter(r -> r.getRelType().equals(ModelConstants.RESULT_PROJECT));
.filter(r -> r.getRelType().equals(ModelConstants.RESULT_PROJECT))
.filter(r -> !ClusterUtils.isDedupRoot(r.getSource()))
.filter(r -> !ClusterUtils.isDedupRoot(r.getTarget()));
rels
.joinWith(projects, projects.col("id").equalTo(rels.col("target")), "inner")

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@ -15,6 +15,7 @@ import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.broker.objects.OaBrokerRelatedPublication;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.broker.oa.util.ClusterUtils;
import eu.dnetlib.dhp.broker.oa.util.ConversionUtils;
@ -31,8 +32,7 @@ public class PrepareRelatedPublicationsJob {
public static void main(final String[] args) throws Exception {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
PrepareRelatedPublicationsJob.class
.toString(PrepareRelatedPublicationsJob.class
.getResourceAsStream("/eu/dnetlib/dhp/broker/oa/common_params.json")));
parser.parseArgument(args);
@ -57,19 +57,22 @@ public class PrepareRelatedPublicationsJob {
ClusterUtils.removeDir(spark, relsPath);
final Dataset<Publication> pubs = ClusterUtils
.readPath(spark, graphPath + "/publication", Publication.class);
final Dataset<OaBrokerRelatedPublication> pubs = ClusterUtils
.readPath(spark, graphPath + "/publication", Publication.class)
.filter(p -> !ClusterUtils.isDedupRoot(p.getId()))
.map(ConversionUtils::oafPublicationToBrokerPublication, Encoders.bean(OaBrokerRelatedPublication.class));
final Dataset<Relation> rels = ClusterUtils.readPath(spark, graphPath + "/relation", Relation.class);
final Dataset<Relation> rels = ClusterUtils
.readPath(spark, graphPath + "/relation", Relation.class)
.filter(r -> !ClusterUtils.isDedupRoot(r.getSource()))
.filter(r -> !ClusterUtils.isDedupRoot(r.getTarget()));
rels
.joinWith(pubs, pubs.col("id").equalTo(rels.col("target")), "inner")
.map(
t -> new RelatedPublication(
.joinWith(pubs, pubs.col("openaireId").equalTo(rels.col("target")), "inner")
.map(t -> new RelatedPublication(
t._1.getSource(),
t._1.getRelType(),
ConversionUtils.oafPublicationToBrokerPublication(t._2)),
Encoders.bean(RelatedPublication.class))
t._2), Encoders.bean(RelatedPublication.class))
.write()
.mode(SaveMode.Overwrite)
.json(relsPath);

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@ -15,6 +15,7 @@ import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.broker.objects.OaBrokerRelatedSoftware;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.broker.oa.util.ClusterUtils;
import eu.dnetlib.dhp.broker.oa.util.ConversionUtils;
@ -31,8 +32,7 @@ public class PrepareRelatedSoftwaresJob {
public static void main(final String[] args) throws Exception {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
PrepareRelatedSoftwaresJob.class
.toString(PrepareRelatedSoftwaresJob.class
.getResourceAsStream("/eu/dnetlib/dhp/broker/oa/common_params.json")));
parser.parseArgument(args);
@ -57,18 +57,22 @@ public class PrepareRelatedSoftwaresJob {
ClusterUtils.removeDir(spark, relsPath);
final Dataset<Software> softwares = ClusterUtils.readPath(spark, graphPath + "/software", Software.class);
final Dataset<OaBrokerRelatedSoftware> softwares = ClusterUtils
.readPath(spark, graphPath + "/software", Software.class)
.filter(sw -> !ClusterUtils.isDedupRoot(sw.getId()))
.map(ConversionUtils::oafSoftwareToBrokerSoftware, Encoders.bean(OaBrokerRelatedSoftware.class));
final Dataset<Relation> rels = ClusterUtils.readPath(spark, graphPath + "/relation", Relation.class);
final Dataset<Relation> rels = ClusterUtils
.readPath(spark, graphPath + "/relation", Relation.class)
.filter(r -> !ClusterUtils.isDedupRoot(r.getSource()))
.filter(r -> !ClusterUtils.isDedupRoot(r.getTarget()));
rels
.joinWith(softwares, softwares.col("id").equalTo(rels.col("target")), "inner")
.map(
t -> new RelatedSoftware(
.joinWith(softwares, softwares.col("openaireId").equalTo(rels.col("target")), "inner")
.map(t -> new RelatedSoftware(
t._1.getSource(),
t._1.getRelType(),
ConversionUtils.oafSoftwareToBrokerSoftware(t._2)),
Encoders.bean(RelatedSoftware.class))
t._2), Encoders.bean(RelatedSoftware.class))
.write()
.mode(SaveMode.Overwrite)
.json(relsPath);

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@ -74,6 +74,7 @@ public class PrepareSimpleEntititiesJob {
return ClusterUtils
.readPath(spark, graphPath + "/" + sourceClass.getSimpleName().toLowerCase(), sourceClass)
.filter(r -> !ClusterUtils.isDedupRoot(r.getId()))
.filter(r -> r.getDataInfo().getDeletedbyinference())
.map(ConversionUtils::oafResultToBrokerResult, Encoders.bean(OaBrokerMainEntity.class));
}

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@ -32,4 +32,8 @@ public class ClusterUtils {
.map((MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz));
}
public static boolean isDedupRoot(final String id) {
return id.contains("dedup_wf_");
}
}

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@ -89,10 +89,10 @@
<fork name="start_entities_and_rels">
<path start="prepare_simple_entities"/>
<path start="prepare_related_softwares"/>
<path start="prepare_related_datasets"/>
<path start="prepare_related_projects"/>
<path start="prepare_related_publications"/>
<path start="prepare_related_softwares"/>
</fork>
<action name="prepare_simple_entities">
@ -119,6 +119,7 @@
<error to="Kill"/>
</action>
<action name="prepare_related_datasets">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>

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@ -0,0 +1,18 @@
<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>
</configuration>

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@ -0,0 +1,215 @@
<workflow-app name="create broker events" xmlns="uri:oozie:workflow:0.5">
<parameters>
<property>
<name>graphInputPath</name>
<description>the path where the graph is stored</description>
</property>
<property>
<name>workingPath</name>
<description>the path where the the generated data will be stored</description>
</property>
<property>
<name>isLookupUrl</name>
<description>the address of the lookUp service</description>
</property>
<property>
<name>dedupConfProfId</name>
<description>the id of a valid Dedup Configuration Profile</description>
</property>
<property>
<name>sparkDriverMemory</name>
<description>memory for driver process</description>
</property>
<property>
<name>sparkExecutorMemory</name>
<description>memory for individual executor</description>
</property>
<property>
<name>sparkExecutorCores</name>
<description>number of cores used by single executor</description>
</property>
<property>
<name>oozieActionShareLibForSpark2</name>
<description>oozie action sharelib for spark 2.*</description>
</property>
<property>
<name>spark2ExtraListeners</name>
<value>com.cloudera.spark.lineage.NavigatorAppListener</value>
<description>spark 2.* extra listeners classname</description>
</property>
<property>
<name>spark2SqlQueryExecutionListeners</name>
<value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
<description>spark 2.* sql query execution listeners classname</description>
</property>
<property>
<name>spark2YarnHistoryServerAddress</name>
<description>spark 2.* yarn history server address</description>
</property>
<property>
<name>spark2EventLogDir</name>
<description>spark 2.* event log dir location</description>
</property>
</parameters>
<global>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<configuration>
<property>
<name>mapreduce.job.queuename</name>
<value>${queueName}</value>
</property>
<property>
<name>oozie.launcher.mapred.job.queue.name</name>
<value>${oozieLauncherQueueName}</value>
</property>
<property>
<name>oozie.action.sharelib.for.spark</name>
<value>${oozieActionShareLibForSpark2}</value>
</property>
</configuration>
</global>
<start to="ensure_working_path"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="ensure_working_path">
<fs>
<mkdir path='${workingPath}'/>
</fs>
<ok to="prepare_related_publications"/>
<error to="Kill"/>
</action>
<action name="prepare_related_publications">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>PrepareRelatedPublicationsJob</name>
<class>eu.dnetlib.dhp.broker.oa.PrepareRelatedPublicationsJob</class>
<jar>dhp-broker-events-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=3840
</spark-opts>
<arg>--graphPath</arg><arg>${graphInputPath}</arg>
<arg>--workingPath</arg><arg>${workingPath}</arg>
</spark>
<ok to="prepare_related_datasets"/>
<error to="Kill"/>
</action>
<action name="prepare_related_datasets">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>PrepareRelatedDatasetsJob</name>
<class>eu.dnetlib.dhp.broker.oa.PrepareRelatedDatasetsJob</class>
<jar>dhp-broker-events-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=3840
</spark-opts>
<arg>--graphPath</arg><arg>${graphInputPath}</arg>
<arg>--workingPath</arg><arg>${workingPath}</arg>
</spark>
<ok to="join_entities"/>
<error to="Kill"/>
</action>
<action name="join_entities">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>JoinEntitiesJob</name>
<class>eu.dnetlib.dhp.broker.oa.JoinEntitiesJob</class>
<jar>dhp-broker-events-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=3840
</spark-opts>
<arg>--graphPath</arg><arg>${graphInputPath}</arg>
<arg>--workingPath</arg><arg>${workingPath}</arg>
</spark>
<ok to="prepare_groups"/>
<error to="Kill"/>
</action>
<action name="prepare_groups">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>PrepareGroupsJob</name>
<class>eu.dnetlib.dhp.broker.oa.PrepareGroupsJob</class>
<jar>dhp-broker-events-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=3840
</spark-opts>
<arg>--graphPath</arg><arg>${graphInputPath}</arg>
<arg>--workingPath</arg><arg>${workingPath}</arg>
</spark>
<ok to="generate_events"/>
<error to="Kill"/>
</action>
<action name="generate_events">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>GenerateEventsJob</name>
<class>eu.dnetlib.dhp.broker.oa.GenerateEventsJob</class>
<jar>dhp-broker-events-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=3840
</spark-opts>
<arg>--graphPath</arg><arg>${graphInputPath}</arg>
<arg>--workingPath</arg><arg>${workingPath}</arg>
<arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
<arg>--dedupConfProfile</arg><arg>${dedupConfProfId}</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>