97 lines
3.1 KiB
Java
97 lines
3.1 KiB
Java
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package eu.dnetlib.dhp.oa.graph.dump.eosc;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.io.Serializable;
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import java.util.ArrayList;
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import java.util.Optional;
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import javax.rmi.CORBA.Util;
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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.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.eosc.model.Relation;
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import eu.dnetlib.dhp.eosc.model.Result;
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import scala.Tuple2;
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/**
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* @author miriam.baglioni
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* @Date 02/02/23
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*/
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public class SparkExtendResultWithRelation implements Serializable {
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private static final Logger log = LoggerFactory.getLogger(SparkExtendResultWithRelation.class);
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public static void main(String[] args) throws Exception {
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String jsonConfiguration = IOUtils
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.toString(
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SparkExtendResultWithRelation.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/oa/graph/dump/input_extendwithrelation_parameters.json"));
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
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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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final String resultPath = parser.get("resultPath");
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log.info("resultPath: {}", resultPath);
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final String relationPath = parser.get("relationPath");
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log.info("relationPath: {}", relationPath);
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final 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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runWithSparkSession(
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conf,
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isSparkSessionManaged,
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spark -> {
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Utils.removeOutputDir(spark, outputPath);
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extendResultWithRelation(spark, resultPath, relationPath, outputPath);
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});
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}
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private static void extendResultWithRelation(SparkSession spark, String resultPath, String relationPath,
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String outputPath) {
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Dataset<Relation> relationDataset = Utils.readPath(spark, relationPath, Relation.class);
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Dataset<Result> resultDataset = Utils.readPath(spark, resultPath, Result.class);
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resultDataset
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.joinWith(relationDataset, resultDataset.col("id").equalTo(relationDataset.col("source")), "left")
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.groupByKey((MapFunction<Tuple2<Result, Relation>, String>) t2 -> t2._1().getId(), Encoders.STRING())
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.mapGroups((MapGroupsFunction<String, Tuple2<Result, Relation>, Result>) (k, it) -> {
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Tuple2<Result, Relation> first = it.next();
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Result r = first._1();
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if (Optional.ofNullable(first._2()).isPresent()) {
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if (r.getRelations() == null) {
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r.setRelations(new ArrayList<>());
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}
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r.getRelations().add(first._2());
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it.forEachRemaining(t2 -> r.getRelations().add(t2._2()));
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}
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return r;
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}, Encoders.bean(Result.class))
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.write()
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.option("compression", "gzip")
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.mode(SaveMode.Overwrite)
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.json(outputPath);
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}
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}
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