forked from D-Net/dnet-hadoop
87 lines
2.9 KiB
Java
87 lines
2.9 KiB
Java
|
|
package eu.dnetlib.dhp.broker.oa;
|
|
|
|
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
|
|
|
|
import java.util.Optional;
|
|
|
|
import org.apache.commons.io.IOUtils;
|
|
import org.apache.spark.SparkConf;
|
|
import org.apache.spark.api.java.function.MapFunction;
|
|
import org.apache.spark.sql.Dataset;
|
|
import org.apache.spark.sql.Encoders;
|
|
import org.apache.spark.sql.TypedColumn;
|
|
import org.apache.spark.util.LongAccumulator;
|
|
import org.slf4j.Logger;
|
|
import org.slf4j.LoggerFactory;
|
|
|
|
import eu.dnetlib.broker.objects.OaBrokerMainEntity;
|
|
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
|
import eu.dnetlib.dhp.broker.oa.util.BrokerConstants;
|
|
import eu.dnetlib.dhp.broker.oa.util.ClusterUtils;
|
|
import eu.dnetlib.dhp.broker.oa.util.aggregators.simple.ResultAggregator;
|
|
import eu.dnetlib.dhp.broker.oa.util.aggregators.simple.ResultGroup;
|
|
import eu.dnetlib.dhp.schema.oaf.Relation;
|
|
import scala.Tuple2;
|
|
|
|
public class PrepareGroupsJob {
|
|
|
|
private static final Logger log = LoggerFactory.getLogger(PrepareGroupsJob.class);
|
|
|
|
public static void main(final String[] args) throws Exception {
|
|
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
|
|
IOUtils
|
|
.toString(
|
|
PrepareGroupsJob.class
|
|
.getResourceAsStream("/eu/dnetlib/dhp/broker/oa/common_params.json")));
|
|
parser.parseArgument(args);
|
|
|
|
final Boolean isSparkSessionManaged = Optional
|
|
.ofNullable(parser.get("isSparkSessionManaged"))
|
|
.map(Boolean::valueOf)
|
|
.orElse(Boolean.TRUE);
|
|
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
|
|
|
|
final String graphPath = parser.get("graphPath");
|
|
log.info("graphPath: {}", graphPath);
|
|
|
|
final String workingDir = parser.get("workingDir");
|
|
log.info("workingDir: {}", workingDir);
|
|
|
|
final String groupsPath = workingDir + "/duplicates";
|
|
log.info("groupsPath: {}", groupsPath);
|
|
|
|
final SparkConf conf = new SparkConf();
|
|
|
|
runWithSparkSession(conf, isSparkSessionManaged, spark -> {
|
|
|
|
ClusterUtils.removeDir(spark, groupsPath);
|
|
|
|
final LongAccumulator total = spark.sparkContext().longAccumulator("total_groups");
|
|
|
|
final Dataset<OaBrokerMainEntity> results = ClusterUtils
|
|
.readPath(spark, workingDir + "/joinedEntities_step4", OaBrokerMainEntity.class);
|
|
|
|
final Dataset<Relation> mergedRels = ClusterUtils
|
|
.loadRelations(graphPath, spark)
|
|
.filter(r -> r.getRelClass().equals(BrokerConstants.IS_MERGED_IN_CLASS));
|
|
|
|
final TypedColumn<Tuple2<OaBrokerMainEntity, Relation>, ResultGroup> aggr = new ResultAggregator()
|
|
.toColumn();
|
|
|
|
final Dataset<ResultGroup> dataset = results
|
|
.joinWith(mergedRels, results.col("openaireId").equalTo(mergedRels.col("source")), "inner")
|
|
.groupByKey(
|
|
(MapFunction<Tuple2<OaBrokerMainEntity, Relation>, String>) t -> t._2.getTarget(),
|
|
Encoders.STRING())
|
|
.agg(aggr)
|
|
.map(t -> t._2, Encoders.bean(ResultGroup.class))
|
|
.filter(rg -> rg.getData().size() > 1);
|
|
|
|
ClusterUtils.save(dataset, groupsPath, ResultGroup.class, total);
|
|
|
|
});
|
|
}
|
|
|
|
}
|