forked from D-Net/dnet-hadoop
no need to filter relations in CreateRelatedEntitiesJob_phase1; replaced 'left outer' join with 'left' join in CreateRelatedEntitiesJob_phase2; cleanup;
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e3d3481fb9
commit
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@ -1,91 +0,0 @@
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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.ArrayList;
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import java.util.List;
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import java.util.Optional;
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import java.util.stream.Collectors;
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import org.apache.commons.io.IOUtils;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.function.MapFunction;
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import org.apache.spark.api.java.function.MapGroupsFunction;
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import org.apache.spark.sql.*;
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import org.apache.spark.sql.expressions.Aggregator;
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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.common.HdfsSupport;
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import eu.dnetlib.dhp.oa.provision.model.*;
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import scala.Tuple2;
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import scala.collection.JavaConverters;
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import scala.collection.Seq;
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/**
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* AdjacencyListBuilderJob: given the tuple (S - R - T) we need to group by S.id -> List [ R - T ], mapping the
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* result as JoinedEntity
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*/
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public class AdjacencyListBuilderJob {
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private static final Logger log = LoggerFactory.getLogger(AdjacencyListBuilderJob.class);
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public static final int MAX_LINKS = 100;
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public static void main(String[] args) throws Exception {
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(
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IOUtils
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.toString(
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AdjacencyListBuilderJob.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/oa/provision/input_params_build_adjacency_lists.json")));
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parser.parseArgument(args);
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Boolean isSparkSessionManaged = Optional
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.ofNullable(parser.get("isSparkSessionManaged"))
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.map(Boolean::valueOf)
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.orElse(Boolean.TRUE);
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log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
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String inputPath = parser.get("inputPath");
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log.info("inputPath: {}", inputPath);
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String outputPath = parser.get("outputPath");
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log.info("outputPath: {}", outputPath);
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SparkConf conf = new SparkConf();
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conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
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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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createAdjacencyListsKryo(spark, inputPath, outputPath);
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});
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}
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private static void createAdjacencyListsKryo(
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SparkSession spark, String inputPath, String outputPath) {
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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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}
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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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}
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@ -92,7 +92,6 @@ public class CreateRelatedEntitiesJob_phase1 {
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String outputPath) {
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Dataset<Tuple2<String, Relation>> relsByTarget = readPathRelation(spark, inputRelationsPath)
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.filter("dataInfo.deletedbyinference == false")
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.map(
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(MapFunction<Relation, Tuple2<String, Relation>>) r -> new Tuple2<>(r.getTarget(),
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r),
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@ -105,7 +105,7 @@ public class CreateRelatedEntitiesJob_phase2 {
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TypedColumn<JoinedEntity, JoinedEntity> aggregator = new AdjacencyListAggregator().toColumn();
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entities
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.joinWith(relatedEntities, entities.col("_1").equalTo(relatedEntities.col("_1")), "left_outer")
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.joinWith(relatedEntities, entities.col("_1").equalTo(relatedEntities.col("_1")), "left")
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.map((MapFunction<Tuple2<Tuple2<String, E>, Tuple2<String, RelatedEntityWrapper>>, JoinedEntity>) value -> {
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JoinedEntity je = new JoinedEntity(value._1()._2());
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Optional
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@ -114,7 +114,6 @@ public class CreateRelatedEntitiesJob_phase2 {
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.ifPresent(r -> je.getLinks().add(r));
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return je;
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}, Encoders.kryo(JoinedEntity.class))
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.filter(filterEmptyEntityFn())
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.groupByKey(
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(MapFunction<JoinedEntity, String>) value -> value.getEntity().getId(),
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Encoders.STRING())
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@ -122,7 +121,6 @@ public class CreateRelatedEntitiesJob_phase2 {
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.map(
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(MapFunction<Tuple2<String, JoinedEntity>, JoinedEntity>) value -> value._2(),
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Encoders.kryo(JoinedEntity.class))
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.filter(filterEmptyEntityFn())
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.write()
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.mode(SaveMode.Overwrite)
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.parquet(outputPath);
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@ -3,8 +3,10 @@ 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.*;
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import java.util.function.Supplier;
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import java.util.HashSet;
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import java.util.Optional;
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import java.util.PriorityQueue;
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import java.util.Set;
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import java.util.stream.Collectors;
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import org.apache.commons.io.IOUtils;
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@ -15,8 +17,10 @@ import org.apache.spark.api.java.function.FilterFunction;
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import org.apache.spark.api.java.function.FlatMapFunction;
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import org.apache.spark.api.java.function.Function;
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import org.apache.spark.api.java.function.MapFunction;
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import org.apache.spark.rdd.RDD;
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import org.apache.spark.sql.*;
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import org.apache.spark.sql.Encoder;
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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.apache.spark.sql.expressions.Aggregator;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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@ -24,7 +28,6 @@ import org.slf4j.LoggerFactory;
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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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import com.google.common.collect.Maps;
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import com.google.common.collect.Sets;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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