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.SaveMode; import org.apache.spark.sql.TypedColumn; 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 workingPath = parser.get("workingPath"); log.info("workingPath: {}", workingPath); final String groupsPath = workingPath + "/duplicates"; log.info("groupsPath: {}", groupsPath); final SparkConf conf = new SparkConf(); runWithSparkSession(conf, isSparkSessionManaged, spark -> { ClusterUtils.removeDir(spark, groupsPath); final Dataset results = ClusterUtils .readPath(spark, workingPath + "/joinedEntities_step4", OaBrokerMainEntity.class); final Dataset mergedRels = ClusterUtils .readPath(spark, graphPath + "/relation", Relation.class) .filter(r -> r.getRelClass().equals(BrokerConstants.IS_MERGED_IN_CLASS)); final TypedColumn, ResultGroup> aggr = new ResultAggregator() .toColumn(); final Dataset groups = results .joinWith(mergedRels, results.col("openaireId").equalTo(mergedRels.col("source")), "inner") .groupByKey( (MapFunction, String>) t -> t._2.getTarget(), Encoders.STRING()) .agg(aggr) .map( (MapFunction, ResultGroup>) t -> t._2, Encoders.bean(ResultGroup.class)) .filter(rg -> rg.getData().size() > 1); groups .write() .mode(SaveMode.Overwrite) .json(groupsPath); }); } }