93 lines
3.5 KiB
Java
93 lines
3.5 KiB
Java
package eu.dnetlib.jobs;
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import eu.dnetlib.Deduper;
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import eu.dnetlib.pace.config.DedupConfig;
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import eu.dnetlib.pace.util.MapDocumentUtil;
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import eu.dnetlib.pace.utils.Utility;
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import eu.dnetlib.support.ArgumentApplicationParser;
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import eu.dnetlib.support.ConnectedComponent;
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import eu.dnetlib.support.Relation;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.JavaPairRDD;
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import org.apache.spark.api.java.JavaRDD;
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import org.apache.spark.api.java.function.MapFunction;
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import org.apache.spark.sql.Encoders;
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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 scala.Tuple2;
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import java.io.IOException;
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import java.util.Optional;
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public class SparkCreateDedupEntity extends AbstractSparkJob {
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private static final Logger log = LoggerFactory.getLogger(eu.dnetlib.jobs.SparkCreateDedupEntity.class);
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public SparkCreateDedupEntity(ArgumentApplicationParser parser, SparkSession spark) {
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super(parser, spark);
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}
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public static void main(String[] args) throws Exception {
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ArgumentApplicationParser parser = new ArgumentApplicationParser(
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Utility.readResource("/jobs/parameters/createDedupEntity_parameters.json", SparkCreateDedupEntity.class)
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);
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parser.parseArgument(args);
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SparkConf conf = new SparkConf();
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new SparkCreateDedupEntity(
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parser,
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getSparkSession(conf)
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).run();
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}
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@Override
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public void run() throws IOException {
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// read oozie parameters
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final String entitiesPath = parser.get("entitiesPath");
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final String workingPath = parser.get("workingPath");
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final String dedupConfPath = parser.get("dedupConfPath");
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final int numPartitions = Optional
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.ofNullable(parser.get("numPartitions"))
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.map(Integer::valueOf)
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.orElse(NUM_PARTITIONS);
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log.info("entitiesPath: '{}'", entitiesPath);
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log.info("workingPath: '{}'", workingPath);
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log.info("dedupConfPath: '{}'", dedupConfPath);
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log.info("numPartitions: '{}'", numPartitions);
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DedupConfig dedupConf = DedupConfig.load(readFileFromHDFS(dedupConfPath));
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JavaPairRDD<String, String> entities = spark
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.read()
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.textFile(entitiesPath)
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.map((MapFunction<String, Tuple2<String, String>>) it ->
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new Tuple2<>(MapDocumentUtil.getJPathString(dedupConf.getWf().getIdPath(), it), it),
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Encoders.tuple(Encoders.STRING(), Encoders.STRING()))
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.toJavaRDD()
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.mapToPair(t -> t);
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// <source, target>: source is the dedup_id, target is the id of the mergedIn
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JavaPairRDD<String, Relation> mergeRels = spark
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.read()
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.load(workingPath + "/mergerels")
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.as(Encoders.bean(Relation.class))
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.toJavaRDD()
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.mapToPair(r -> new Tuple2<>(r.getTarget(), r));
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JavaRDD<ConnectedComponent> dedupEntities = mergeRels.join(entities)
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.mapToPair(t -> new Tuple2<>(t._2()._1().getSource(), t._2()._2()))
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.groupByKey()
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.map(t-> Deduper.entityMerger(t._1(), t._2().iterator()));
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dedupEntities.saveAsTextFile(workingPath + "dedupentity");
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}
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}
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