forked from D-Net/dnet-hadoop
78 lines
2.6 KiB
Java
78 lines
2.6 KiB
Java
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package eu.dnetlib.dhp.broker.oa;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.util.Optional;
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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.sql.Dataset;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.sql.TypedColumn;
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import org.apache.spark.util.LongAccumulator;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import eu.dnetlib.broker.objects.OaBrokerMainEntity;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.broker.oa.util.ClusterUtils;
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import eu.dnetlib.dhp.broker.oa.util.aggregators.withRels.RelatedSoftware;
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import eu.dnetlib.dhp.broker.oa.util.aggregators.withRels.RelatedSoftwareAggregator;
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import scala.Tuple2;
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public class JoinStep2Job {
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private static final Logger log = LoggerFactory.getLogger(JoinStep2Job.class);
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public static void main(final 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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JoinStep2Job.class
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.getResourceAsStream("/eu/dnetlib/dhp/broker/oa/common_params.json")));
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parser.parseArgument(args);
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final 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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final String workingDir = parser.get("workingDir");
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log.info("workingDir: {}", workingDir);
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final String joinedEntitiesPath = workingDir + "/joinedEntities_step2";
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log.info("joinedEntitiesPath: {}", joinedEntitiesPath);
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final SparkConf conf = new SparkConf();
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runWithSparkSession(conf, isSparkSessionManaged, spark -> {
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ClusterUtils.removeDir(spark, joinedEntitiesPath);
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final LongAccumulator total = spark.sparkContext().longAccumulator("total_entities");
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final Dataset<OaBrokerMainEntity> sources = ClusterUtils
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.readPath(spark, workingDir + "/joinedEntities_step1", OaBrokerMainEntity.class);
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final Dataset<RelatedSoftware> typedRels = ClusterUtils
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.readPath(spark, workingDir + "/relatedSoftwares", RelatedSoftware.class);
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final TypedColumn<Tuple2<OaBrokerMainEntity, RelatedSoftware>, OaBrokerMainEntity> aggr = new RelatedSoftwareAggregator()
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.toColumn();
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final Dataset<OaBrokerMainEntity> dataset = sources
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.joinWith(typedRels, sources.col("openaireId").equalTo(typedRels.col("source")), "left_outer")
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.groupByKey(t -> t._1.getOpenaireId(), Encoders.STRING())
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.agg(aggr)
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.map(t -> t._2, Encoders.bean(OaBrokerMainEntity.class));
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ClusterUtils.save(dataset, joinedEntitiesPath, OaBrokerMainEntity.class, total);
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});
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}
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}
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