forked from D-Net/dnet-hadoop
WIP: fixed PrepareRelationsJob; parallel implementation of CreateRelatedEntitiesJob_phase2, now works by OafType; introduced custom aggregator in AdjacencyListBuilderJob
This commit is contained in:
parent
a57965a3ea
commit
b2f9564f13
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@ -58,6 +58,18 @@ public class ModelSupport {
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oafTypes.put("relation", Relation.class);
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}
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public static final Map<Class, String> idPrefixMap = Maps.newHashMap();
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static {
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idPrefixMap.put(Datasource.class, "10");
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idPrefixMap.put(Organization.class, "20");
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idPrefixMap.put(Project.class, "40");
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idPrefixMap.put(Dataset.class, "50");
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idPrefixMap.put(OtherResearchProduct.class, "50");
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idPrefixMap.put(Software.class, "50");
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idPrefixMap.put(Publication.class, "50");
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}
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public static final Map<String, String> entityIdPrefix = Maps.newHashMap();
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static {
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@ -289,6 +301,10 @@ public class ModelSupport {
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private ModelSupport() {
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}
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public static <E extends OafEntity> String getIdPrefix(Class<E> clazz) {
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return idPrefixMap.get(clazz);
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}
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/**
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* Checks subclass-superclass relationship.
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*
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@ -30,6 +30,8 @@ import eu.dnetlib.dhp.schema.common.ModelSupport;
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import eu.dnetlib.dhp.schema.oaf.Oaf;
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import scala.Function1;
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import scala.Function2;
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import scala.collection.JavaConverters;
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import scala.collection.Seq;
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/**
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* Joins the graph nodes by resolving the links of distance = 1 to create an adjacency list of linked objects. The
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@ -83,18 +85,7 @@ public class AdjacencyListBuilderJob {
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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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List<Class<?>> modelClasses = Arrays.asList(ModelSupport.getOafModelClasses());
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modelClasses
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.addAll(
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Lists
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.newArrayList(
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TypedRow.class,
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EntityRelEntity.class,
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JoinedEntity.class,
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RelatedEntity.class,
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Tuple2.class,
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SortableRelation.class));
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conf.registerKryoClasses(modelClasses.toArray(new Class[] {}));
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conf.registerKryoClasses(ProvisionModelSupport.getModelClasses());
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runWithSparkSession(
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conf,
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@ -108,11 +99,17 @@ public class AdjacencyListBuilderJob {
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private static void createAdjacencyListsKryo(
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SparkSession spark, String inputPath, String outputPath) {
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TypedColumn<EntityRelEntity, JoinedEntity> aggregator = new AdjacencyListAggregator().toColumn();
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log.info("Reading joined entities from: {}", inputPath);
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final List<String> paths = HdfsSupport
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.listFiles(inputPath, spark.sparkContext().hadoopConfiguration());
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log.info("Found paths: {}", String.join(",", paths));
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TypedColumn<EntityRelEntity, JoinedEntity> aggregator = new AdjacencyListAggregator().toColumn();
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spark
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.read()
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.load(inputPath)
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.load(toSeq(paths))
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.as(Encoders.kryo(EntityRelEntity.class))
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.groupByKey(
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(MapFunction<EntityRelEntity, String>) value -> value.getEntity().getId(),
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@ -232,6 +229,10 @@ public class AdjacencyListBuilderJob {
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.parquet(outputPath);
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}
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private static Seq<String> toSeq(List<String> list) {
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return JavaConverters.asScalaIteratorConverter(list.iterator()).asScala().toSeq();
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}
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private static void removeOutputDir(SparkSession spark, String path) {
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HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
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}
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@ -134,7 +134,7 @@ public class CreateRelatedEntitiesJob_phase1 {
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Encoders.bean(EntityRelEntity.class))
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.write()
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.mode(SaveMode.Overwrite)
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.parquet(outputPath + "/" + EntityType.fromClass(clazz));
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.parquet(outputPath);
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}
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private static <E extends OafEntity> Dataset<E> readPathEntity(
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@ -27,6 +27,7 @@ import com.google.common.collect.Lists;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.common.HdfsSupport;
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import eu.dnetlib.dhp.oa.provision.model.EntityRelEntity;
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import eu.dnetlib.dhp.oa.provision.model.ProvisionModelSupport;
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import eu.dnetlib.dhp.oa.provision.model.TypedRow;
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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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@ -87,8 +88,8 @@ public class CreateRelatedEntitiesJob_phase2 {
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String inputRelatedEntitiesPath = parser.get("inputRelatedEntitiesPath");
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log.info("inputRelatedEntitiesPath: {}", inputRelatedEntitiesPath);
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String inputGraphRootPath = parser.get("inputGraphRootPath");
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log.info("inputGraphRootPath: {}", inputGraphRootPath);
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String inputEntityPath = parser.get("inputEntityPath");
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log.info("inputEntityPath: {}", inputEntityPath);
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String outputPath = parser.get("outputPath");
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log.info("outputPath: {}", outputPath);
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@ -96,44 +97,49 @@ public class CreateRelatedEntitiesJob_phase2 {
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int numPartitions = Integer.parseInt(parser.get("numPartitions"));
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log.info("numPartitions: {}", numPartitions);
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String graphTableClassName = parser.get("graphTableClassName");
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log.info("graphTableClassName: {}", graphTableClassName);
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Class<? extends OafEntity> entityClazz = (Class<? extends OafEntity>) Class.forName(graphTableClassName);
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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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conf.registerKryoClasses(ProvisionModelSupport.getModelClasses());
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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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joinAllEntities(
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spark, inputRelatedEntitiesPath, inputGraphRootPath, outputPath, numPartitions);
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joinEntityWithRelatedEntities(
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spark, inputRelatedEntitiesPath, inputEntityPath, outputPath, numPartitions, entityClazz);
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});
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}
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private static void joinAllEntities(
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private static <E extends OafEntity> void joinEntityWithRelatedEntities(
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SparkSession spark,
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String inputRelatedEntitiesPath,
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String inputGraphRootPath,
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String relatedEntitiesPath,
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String entityPath,
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String outputPath,
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int numPartitions) {
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int numPartitions,
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Class<E> entityClazz) {
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Dataset<Tuple2<String, TypedRow>> entities = readAllEntities(spark, inputGraphRootPath, numPartitions);
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Dataset<Tuple2<String, EntityRelEntity>> relsBySource = readRelatedEntities(spark, inputRelatedEntitiesPath);
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Dataset<Tuple2<String, E>> entity = readPathEntity(spark, entityPath, entityClazz);
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Dataset<Tuple2<String, EntityRelEntity>> relatedEntities = readRelatedEntities(
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spark, relatedEntitiesPath, entityClazz);
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entities
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.joinWith(relsBySource, entities.col("_1").equalTo(relsBySource.col("_1")), "left_outer")
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.map(
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(MapFunction<Tuple2<Tuple2<String, TypedRow>, Tuple2<String, EntityRelEntity>>, EntityRelEntity>) value -> {
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entity
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.joinWith(relatedEntities, entity.col("_1").equalTo(relatedEntities.col("_1")), "left_outer")
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.map((MapFunction<Tuple2<Tuple2<String, E>, Tuple2<String, EntityRelEntity>>, EntityRelEntity>) value -> {
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EntityRelEntity re = new EntityRelEntity();
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re.setEntity(value._1()._2());
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re.setEntity(getTypedRow(entityClazz.getCanonicalName().toLowerCase(), value._1()._2()));
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Optional<EntityRelEntity> related = Optional.ofNullable(value._2()).map(Tuple2::_2);
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if (related.isPresent()) {
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re.setRelation(related.get().getRelation());
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re.setTarget(related.get().getTarget());
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}
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return re;
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},
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Encoders.bean(EntityRelEntity.class))
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}, Encoders.bean(EntityRelEntity.class))
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.repartition(numPartitions)
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.filter(
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(FilterFunction<EntityRelEntity>) value -> value.getEntity() != null
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@ -143,33 +149,8 @@ public class CreateRelatedEntitiesJob_phase2 {
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.parquet(outputPath);
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}
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private static Dataset<Tuple2<String, TypedRow>> readAllEntities(
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SparkSession spark, String inputGraphPath, int numPartitions) {
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Dataset<TypedRow> publication = readPathEntity(spark, inputGraphPath + "/publication", Publication.class);
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Dataset<TypedRow> dataset = readPathEntity(
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spark, inputGraphPath + "/dataset", eu.dnetlib.dhp.schema.oaf.Dataset.class);
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Dataset<TypedRow> other = readPathEntity(
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spark, inputGraphPath + "/otherresearchproduct", OtherResearchProduct.class);
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Dataset<TypedRow> software = readPathEntity(spark, inputGraphPath + "/software", Software.class);
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Dataset<TypedRow> datasource = readPathEntity(spark, inputGraphPath + "/datasource", Datasource.class);
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Dataset<TypedRow> organization = readPathEntity(spark, inputGraphPath + "/organization", Organization.class);
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Dataset<TypedRow> project = readPathEntity(spark, inputGraphPath + "/project", Project.class);
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return publication
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.union(dataset)
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.union(other)
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.union(software)
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.union(datasource)
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.union(organization)
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.union(project)
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.map(
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(MapFunction<TypedRow, Tuple2<String, TypedRow>>) value -> new Tuple2<>(value.getId(), value),
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Encoders.tuple(Encoders.STRING(), Encoders.kryo(TypedRow.class)))
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.repartition(numPartitions);
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}
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private static Dataset<Tuple2<String, EntityRelEntity>> readRelatedEntities(
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SparkSession spark, String inputRelatedEntitiesPath) {
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private static <E extends OafEntity> Dataset<Tuple2<String, EntityRelEntity>> readRelatedEntities(
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SparkSession spark, String inputRelatedEntitiesPath, Class<E> entityClazz) {
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log.info("Reading related entities from: {}", inputRelatedEntitiesPath);
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@ -178,17 +159,20 @@ public class CreateRelatedEntitiesJob_phase2 {
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log.info("Found paths: {}", String.join(",", paths));
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final String idPrefix = ModelSupport.getIdPrefix(entityClazz);
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return spark
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.read()
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.load(toSeq(paths))
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.as(Encoders.bean(EntityRelEntity.class))
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.filter((FilterFunction<EntityRelEntity>) e -> e.getRelation().getSource().startsWith(idPrefix))
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.map(
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(MapFunction<EntityRelEntity, Tuple2<String, EntityRelEntity>>) value -> new Tuple2<>(
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value.getRelation().getSource(), value),
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Encoders.tuple(Encoders.STRING(), Encoders.kryo(EntityRelEntity.class)));
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}
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private static <E extends OafEntity> Dataset<TypedRow> readPathEntity(
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private static <E extends OafEntity> Dataset<Tuple2<String, E>> readPathEntity(
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SparkSession spark, String inputEntityPath, Class<E> entityClazz) {
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log.info("Reading Graph table from: {}", inputEntityPath);
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@ -201,9 +185,8 @@ public class CreateRelatedEntitiesJob_phase2 {
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.filter("dataInfo.invisible == false")
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.map((MapFunction<E, E>) e -> pruneOutliers(entityClazz, e), Encoders.bean(entityClazz))
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.map(
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(MapFunction<E, TypedRow>) value -> getTypedRow(
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StringUtils.substringAfterLast(inputEntityPath, "/"), value),
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Encoders.bean(TypedRow.class));
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(MapFunction<E, Tuple2<String, E>>) e -> new Tuple2<>(e.getId(), e),
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Encoders.tuple(Encoders.STRING(), Encoders.kryo(entityClazz)));
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}
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private static <E extends OafEntity> E pruneOutliers(Class<E> entityClazz, E e) {
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@ -3,9 +3,8 @@ package eu.dnetlib.dhp.oa.provision;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.util.HashSet;
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import java.util.Optional;
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import java.util.Set;
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import java.util.*;
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import java.util.function.Function;
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import org.apache.commons.io.IOUtils;
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import org.apache.spark.SparkConf;
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@ -20,6 +19,7 @@ import org.apache.spark.sql.SparkSession;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import com.clearspring.analytics.util.Lists;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import com.google.common.base.Splitter;
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import com.google.common.collect.Iterables;
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@ -27,9 +27,11 @@ import com.google.common.collect.Iterators;
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import com.google.common.collect.Sets;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.common.FunctionalInterfaceSupport;
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import eu.dnetlib.dhp.common.HdfsSupport;
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import eu.dnetlib.dhp.oa.provision.model.SortableRelation;
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import eu.dnetlib.dhp.oa.provision.utils.RelationPartitioner;
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import scala.Function1;
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import scala.Tuple2;
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/**
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@ -111,37 +113,10 @@ public class PrepareRelationsJob {
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spark -> {
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removeOutputDir(spark, outputPath);
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prepareRelationsRDD(
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spark, inputRelationsPath, outputPath, relationFilter, relPartitions, maxRelations);
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spark, inputRelationsPath, outputPath, relationFilter, maxRelations, relPartitions);
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});
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}
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/**
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* Dataset based implementation that prepares the graph relations by limiting the number of outgoing links and
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* filtering the relation types according to the given criteria.
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*
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* @param spark the spark session
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* @param inputRelationsPath source path for the graph relations
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* @param outputPath output path for the processed relations
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* @param relationFilter set of relation filters applied to the `relClass` field
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* @param maxRelations maximum number of allowed outgoing edges
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*/
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private static void prepareRelations(
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SparkSession spark, String inputRelationsPath, String outputPath, Set<String> relationFilter,
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int maxRelations) {
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readPathRelation(spark, inputRelationsPath)
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.filter("dataInfo.deletedbyinference == false")
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.filter((FilterFunction<SortableRelation>) rel -> !relationFilter.contains(rel.getRelClass()))
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.groupByKey(
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(MapFunction<SortableRelation, String>) value -> value.getSource(), Encoders.STRING())
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.flatMapGroups(
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(FlatMapGroupsFunction<String, SortableRelation, SortableRelation>) (key, values) -> Iterators
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.limit(values, maxRelations),
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Encoders.bean(SortableRelation.class))
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.write()
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.mode(SaveMode.Overwrite)
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.parquet(outputPath);
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}
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/**
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* RDD based implementation that prepares the graph relations by limiting the number of outgoing links and filtering
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* the relation types according to the given criteria. Moreover, outgoing links kept within the given limit are
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@ -152,50 +127,41 @@ public class PrepareRelationsJob {
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* @param outputPath output path for the processed relations
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* @param relationFilter set of relation filters applied to the `relClass` field
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* @param maxRelations maximum number of allowed outgoing edges
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* @param relPartitions number of partitions for the output RDD
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*/
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// TODO work in progress
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private static void prepareRelationsRDD(
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SparkSession spark, String inputRelationsPath, String outputPath, Set<String> relationFilter, int relPartitions,
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int maxRelations) {
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JavaRDD<SortableRelation> rels = readPathRelationRDD(spark, inputRelationsPath).repartition(relPartitions);
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RelationPartitioner partitioner = new RelationPartitioner(rels.getNumPartitions());
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SparkSession spark, String inputRelationsPath, String outputPath, Set<String> relationFilter, int maxRelations,
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int relPartitions) {
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// only consider those that are not virtually deleted
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RDD<SortableRelation> d = rels
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RDD<SortableRelation> cappedRels = readPathRelationRDD(spark, inputRelationsPath)
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.repartition(relPartitions)
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.filter(rel -> !rel.getDataInfo().getDeletedbyinference())
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.filter(rel -> !relationFilter.contains(rel.getRelClass()))
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.mapToPair(
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(PairFunction<SortableRelation, SortableRelation, SortableRelation>) rel -> new Tuple2<>(rel, rel))
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.groupByKey(partitioner)
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.map(group -> Iterables.limit(group._2(), maxRelations))
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.flatMap(group -> group.iterator())
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// group by SOURCE and apply limit
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.mapToPair(rel -> new Tuple2<>(rel.getSource(), rel))
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.groupByKey(new RelationPartitioner(relPartitions))
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.flatMap(group -> Iterables.limit(group._2(), maxRelations).iterator())
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// group by TARGET and apply limit
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.mapToPair(rel -> new Tuple2<>(rel.getTarget(), rel))
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.groupByKey(new RelationPartitioner(relPartitions))
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.flatMap(group -> Iterables.limit(group._2(), maxRelations).iterator())
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.rdd();
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spark
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.createDataset(d, Encoders.bean(SortableRelation.class))
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.createDataset(cappedRels, Encoders.bean(SortableRelation.class))
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.write()
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.mode(SaveMode.Overwrite)
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.parquet(outputPath);
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}
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/**
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* Reads a Dataset of eu.dnetlib.dhp.oa.provision.model.SortableRelation objects from a newline delimited json text
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* Reads a JavaRDD of eu.dnetlib.dhp.oa.provision.model.SortableRelation objects from a newline delimited json text
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* file,
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*
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* @param spark
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* @param inputPath
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* @return the Dataset<SortableRelation> containing all the relationships
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* @return the JavaRDD<SortableRelation> containing all the relationships
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*/
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private static Dataset<SortableRelation> readPathRelation(
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SparkSession spark, final String inputPath) {
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return spark
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.read()
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.textFile(inputPath)
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.map(
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(MapFunction<String, SortableRelation>) value -> OBJECT_MAPPER.readValue(value, SortableRelation.class),
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Encoders.bean(SortableRelation.class));
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}
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private static JavaRDD<SortableRelation> readPathRelationRDD(
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SparkSession spark, final String inputPath) {
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JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
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@ -0,0 +1,26 @@
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package eu.dnetlib.dhp.oa.provision.model;
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import java.util.List;
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import com.google.common.collect.Lists;
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import eu.dnetlib.dhp.schema.common.ModelSupport;
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public class ProvisionModelSupport {
|
||||
|
||||
public static Class[] getModelClasses() {
|
||||
List<Class<?>> modelClasses = Lists.newArrayList(ModelSupport.getOafModelClasses());
|
||||
modelClasses
|
||||
.addAll(
|
||||
Lists
|
||||
.newArrayList(
|
||||
TypedRow.class,
|
||||
EntityRelEntity.class,
|
||||
JoinedEntity.class,
|
||||
RelatedEntity.class,
|
||||
Tuple2.class,
|
||||
SortableRelation.class));
|
||||
return modelClasses.toArray(new Class[] {});
|
||||
}
|
||||
}
|
|
@ -4,8 +4,6 @@ package eu.dnetlib.dhp.oa.provision.utils;
|
|||
import org.apache.spark.Partitioner;
|
||||
import org.apache.spark.util.Utils;
|
||||
|
||||
import eu.dnetlib.dhp.oa.provision.model.SortableRelation;
|
||||
|
||||
/**
|
||||
* Used in combination with SortableRelationKey, allows to partition the records by source id, therefore allowing to
|
||||
* sort relations sharing the same source id by the ordering defined in SortableRelationKey.
|
||||
|
@ -25,6 +23,8 @@ public class RelationPartitioner extends Partitioner {
|
|||
|
||||
@Override
|
||||
public int getPartition(Object key) {
|
||||
return Utils.nonNegativeMod(((SortableRelation) key).getSource().hashCode(), numPartitions());
|
||||
String partitionKey = (String) key;
|
||||
return Utils.nonNegativeMod(partitionKey.hashCode(), numPartitions());
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
@ -13,8 +13,14 @@
|
|||
},
|
||||
{
|
||||
"paramName": "iep",
|
||||
"paramLongName": "inputGraphRootPath",
|
||||
"paramDescription": "root graph path",
|
||||
"paramLongName": "inputEntityPath",
|
||||
"paramDescription": "input Entity Path",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "clazz",
|
||||
"paramLongName": "graphTableClassName",
|
||||
"paramDescription": "class name associated to the input entity path",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
|
|
|
@ -103,7 +103,7 @@
|
|||
<switch>
|
||||
<case to="prepare_relations">${wf:conf('resumeFrom') eq 'prepare_relations'}</case>
|
||||
<case to="fork_join_related_entities">${wf:conf('resumeFrom') eq 'fork_join_related_entities'}</case>
|
||||
<case to="join_all_entities">${wf:conf('resumeFrom') eq 'join_all_entities'}</case>
|
||||
<case to="fork_join_all_entities">${wf:conf('resumeFrom') eq 'fork_join_all_entities'}</case>
|
||||
<case to="adjancency_lists">${wf:conf('resumeFrom') eq 'adjancency_lists'}</case>
|
||||
<case to="convert_to_xml">${wf:conf('resumeFrom') eq 'convert_to_xml'}</case>
|
||||
<case to="to_solr_index">${wf:conf('resumeFrom') eq 'to_solr_index'}</case>
|
||||
|
@ -134,7 +134,7 @@
|
|||
</spark-opts>
|
||||
<arg>--inputRelationsPath</arg><arg>${inputGraphRootPath}/relation</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/relation</arg>
|
||||
<arg>--relPartitions</arg><arg>3000</arg>
|
||||
<arg>--relPartitions</arg><arg>5000</arg>
|
||||
</spark>
|
||||
<ok to="fork_join_related_entities"/>
|
||||
<error to="Kill"/>
|
||||
|
@ -171,7 +171,7 @@
|
|||
<arg>--inputRelationsPath</arg><arg>${workingDir}/relation</arg>
|
||||
<arg>--inputEntityPath</arg><arg>${inputGraphRootPath}/publication</arg>
|
||||
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/join_partial</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/join_partial/publication</arg>
|
||||
</spark>
|
||||
<ok to="wait_joins"/>
|
||||
<error to="Kill"/>
|
||||
|
@ -198,7 +198,7 @@
|
|||
<arg>--inputRelationsPath</arg><arg>${workingDir}/relation</arg>
|
||||
<arg>--inputEntityPath</arg><arg>${inputGraphRootPath}/dataset</arg>
|
||||
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/join_partial</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/join_partial/dataset</arg>
|
||||
</spark>
|
||||
<ok to="wait_joins"/>
|
||||
<error to="Kill"/>
|
||||
|
@ -225,7 +225,7 @@
|
|||
<arg>--inputRelationsPath</arg><arg>${workingDir}/relation</arg>
|
||||
<arg>--inputEntityPath</arg><arg>${inputGraphRootPath}/otherresearchproduct</arg>
|
||||
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/join_partial</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/join_partial/otherresearchproduct</arg>
|
||||
</spark>
|
||||
<ok to="wait_joins"/>
|
||||
<error to="Kill"/>
|
||||
|
@ -252,7 +252,7 @@
|
|||
<arg>--inputRelationsPath</arg><arg>${workingDir}/relation</arg>
|
||||
<arg>--inputEntityPath</arg><arg>${inputGraphRootPath}/software</arg>
|
||||
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/join_partial</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/join_partial/software</arg>
|
||||
</spark>
|
||||
<ok to="wait_joins"/>
|
||||
<error to="Kill"/>
|
||||
|
@ -279,7 +279,7 @@
|
|||
<arg>--inputRelationsPath</arg><arg>${workingDir}/relation</arg>
|
||||
<arg>--inputEntityPath</arg><arg>${inputGraphRootPath}/datasource</arg>
|
||||
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Datasource</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/join_partial</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/join_partial/datasource</arg>
|
||||
</spark>
|
||||
<ok to="wait_joins"/>
|
||||
<error to="Kill"/>
|
||||
|
@ -306,7 +306,7 @@
|
|||
<arg>--inputRelationsPath</arg><arg>${workingDir}/relation</arg>
|
||||
<arg>--inputEntityPath</arg><arg>${inputGraphRootPath}/organization</arg>
|
||||
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Organization</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/join_partial</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/join_partial/organization</arg>
|
||||
</spark>
|
||||
<ok to="wait_joins"/>
|
||||
<error to="Kill"/>
|
||||
|
@ -333,19 +333,29 @@
|
|||
<arg>--inputRelationsPath</arg><arg>${workingDir}/relation</arg>
|
||||
<arg>--inputEntityPath</arg><arg>${inputGraphRootPath}/project</arg>
|
||||
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Project</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/join_partial</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/join_partial/project</arg>
|
||||
</spark>
|
||||
<ok to="wait_joins"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<join name="wait_joins" to="join_all_entities"/>
|
||||
<join name="wait_joins" to="fork_join_all_entities"/>
|
||||
|
||||
<action name="join_all_entities">
|
||||
<fork name="fork_join_all_entities">
|
||||
<path start="join_publication_relations"/>
|
||||
<path start="join_dataset_relations"/>
|
||||
<path start="join_otherresearchproduct_relations"/>
|
||||
<path start="join_software_relations"/>
|
||||
<path start="join_datasource_relations"/>
|
||||
<path start="join_organization_relations"/>
|
||||
<path start="join_project_relations"/>
|
||||
</fork>
|
||||
|
||||
<action name="join_publication_relations">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Join[entities.id = relatedEntity.source]</name>
|
||||
<name>Join[publication.id = relatedEntity.source]</name>
|
||||
<class>eu.dnetlib.dhp.oa.provision.CreateRelatedEntitiesJob_phase2</class>
|
||||
<jar>dhp-graph-provision-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
|
@ -356,18 +366,189 @@
|
|||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
--conf spark.sql.shuffle.partitions=7680
|
||||
--conf spark.sql.shuffle.partitions=15360
|
||||
--conf spark.network.timeout=${sparkNetworkTimeout}
|
||||
</spark-opts>
|
||||
<arg>--inputGraphRootPath</arg><arg>${inputGraphRootPath}</arg>
|
||||
<arg>--inputEntityPath</arg><arg>${inputGraphRootPath}/publication</arg>
|
||||
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
|
||||
<arg>--inputRelatedEntitiesPath</arg><arg>${workingDir}/join_partial</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/join_entities</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/join_entities/publication</arg>
|
||||
<arg>--numPartitions</arg><arg>35000</arg>
|
||||
</spark>
|
||||
<ok to="adjancency_lists"/>
|
||||
<ok to="wait_join_phase2"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="join_dataset_relations">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Join[dataset.id = relatedEntity.source]</name>
|
||||
<class>eu.dnetlib.dhp.oa.provision.CreateRelatedEntitiesJob_phase2</class>
|
||||
<jar>dhp-graph-provision-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-cores=${sparkExecutorCoresForJoining}
|
||||
--executor-memory=${sparkExecutorMemoryForJoining}
|
||||
--driver-memory=${sparkDriverMemoryForJoining}
|
||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
--conf spark.sql.shuffle.partitions=15360
|
||||
--conf spark.network.timeout=${sparkNetworkTimeout}
|
||||
</spark-opts>
|
||||
<arg>--inputEntityPath</arg><arg>${inputGraphRootPath}/dataset</arg>
|
||||
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
|
||||
<arg>--inputRelatedEntitiesPath</arg><arg>${workingDir}/join_partial</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/join_entities/dataset</arg>
|
||||
<arg>--numPartitions</arg><arg>20000</arg>
|
||||
</spark>
|
||||
<ok to="wait_join_phase2"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="join_otherresearchproduct_relations">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Join[otherresearchproduct.id = relatedEntity.source]</name>
|
||||
<class>eu.dnetlib.dhp.oa.provision.CreateRelatedEntitiesJob_phase2</class>
|
||||
<jar>dhp-graph-provision-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-cores=${sparkExecutorCoresForJoining}
|
||||
--executor-memory=${sparkExecutorMemoryForJoining}
|
||||
--driver-memory=${sparkDriverMemoryForJoining}
|
||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
--conf spark.sql.shuffle.partitions=15360
|
||||
--conf spark.network.timeout=${sparkNetworkTimeout}
|
||||
</spark-opts>
|
||||
<arg>--inputEntityPath</arg><arg>${inputGraphRootPath}/otherresearchproduct</arg>
|
||||
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>
|
||||
<arg>--inputRelatedEntitiesPath</arg><arg>${workingDir}/join_partial</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/join_entities/otherresearchproduct</arg>
|
||||
<arg>--numPartitions</arg><arg>10000</arg>
|
||||
</spark>
|
||||
<ok to="wait_join_phase2"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="join_software_relations">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Join[software.id = relatedEntity.source]</name>
|
||||
<class>eu.dnetlib.dhp.oa.provision.CreateRelatedEntitiesJob_phase2</class>
|
||||
<jar>dhp-graph-provision-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-cores=${sparkExecutorCoresForJoining}
|
||||
--executor-memory=${sparkExecutorMemoryForJoining}
|
||||
--driver-memory=${sparkDriverMemoryForJoining}
|
||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
--conf spark.sql.shuffle.partitions=15360
|
||||
--conf spark.network.timeout=${sparkNetworkTimeout}
|
||||
</spark-opts>
|
||||
<arg>--inputEntityPath</arg><arg>${inputGraphRootPath}/software</arg>
|
||||
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
|
||||
<arg>--inputRelatedEntitiesPath</arg><arg>${workingDir}/join_partial</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/join_entities/software</arg>
|
||||
<arg>--numPartitions</arg><arg>10000</arg>
|
||||
</spark>
|
||||
<ok to="wait_join_phase2"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="join_datasource_relations">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Join[datasource.id = relatedEntity.source]</name>
|
||||
<class>eu.dnetlib.dhp.oa.provision.CreateRelatedEntitiesJob_phase2</class>
|
||||
<jar>dhp-graph-provision-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-cores=${sparkExecutorCoresForJoining}
|
||||
--executor-memory=${sparkExecutorMemoryForJoining}
|
||||
--driver-memory=${sparkDriverMemoryForJoining}
|
||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
--conf spark.sql.shuffle.partitions=15360
|
||||
--conf spark.network.timeout=${sparkNetworkTimeout}
|
||||
</spark-opts>
|
||||
<arg>--inputEntityPath</arg><arg>${inputGraphRootPath}/datasource</arg>
|
||||
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Datasource</arg>
|
||||
<arg>--inputRelatedEntitiesPath</arg><arg>${workingDir}/join_partial</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/join_entities/datasource</arg>
|
||||
<arg>--numPartitions</arg><arg>1000</arg>
|
||||
</spark>
|
||||
<ok to="wait_join_phase2"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="join_organization_relations">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Join[organization.id = relatedEntity.source]</name>
|
||||
<class>eu.dnetlib.dhp.oa.provision.CreateRelatedEntitiesJob_phase2</class>
|
||||
<jar>dhp-graph-provision-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-cores=2
|
||||
--executor-memory=12G
|
||||
--driver-memory=${sparkDriverMemoryForJoining}
|
||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
--conf spark.sql.shuffle.partitions=15360
|
||||
--conf spark.network.timeout=${sparkNetworkTimeout}
|
||||
</spark-opts>
|
||||
<arg>--inputEntityPath</arg><arg>${inputGraphRootPath}/organization</arg>
|
||||
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Organization</arg>
|
||||
<arg>--inputRelatedEntitiesPath</arg><arg>${workingDir}/join_partial</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/join_entities/organization</arg>
|
||||
<arg>--numPartitions</arg><arg>20000</arg>
|
||||
</spark>
|
||||
<ok to="wait_join_phase2"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="join_project_relations">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Join[project.id = relatedEntity.source]</name>
|
||||
<class>eu.dnetlib.dhp.oa.provision.CreateRelatedEntitiesJob_phase2</class>
|
||||
<jar>dhp-graph-provision-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-cores=${sparkExecutorCoresForJoining}
|
||||
--executor-memory=${sparkExecutorMemoryForJoining}
|
||||
--driver-memory=${sparkDriverMemoryForJoining}
|
||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
--conf spark.sql.shuffle.partitions=15360
|
||||
--conf spark.network.timeout=${sparkNetworkTimeout}
|
||||
</spark-opts>
|
||||
<arg>--inputEntityPath</arg><arg>${inputGraphRootPath}/project</arg>
|
||||
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Project</arg>
|
||||
<arg>--inputRelatedEntitiesPath</arg><arg>${workingDir}/join_partial</arg>
|
||||
<arg>--outputPath</arg><arg>${workingDir}/join_entities/project</arg>
|
||||
<arg>--numPartitions</arg><arg>10000</arg>
|
||||
</spark>
|
||||
<ok to="wait_join_phase2"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<join name="wait_join_phase2" to="adjancency_lists"/>
|
||||
|
||||
<action name="adjancency_lists">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
|
@ -383,7 +564,7 @@
|
|||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
--conf spark.sql.shuffle.partitions=15000
|
||||
--conf spark.sql.shuffle.partitions=15360
|
||||
--conf spark.network.timeout=${sparkNetworkTimeout}
|
||||
</spark-opts>
|
||||
<arg>--inputPath</arg><arg>${workingDir}/join_entities</arg>
|
||||
|
|
Loading…
Reference in New Issue