package eu.dnetlib.dhp.oa.dedup; import eu.dnetlib.dhp.application.ArgumentApplicationParser; import eu.dnetlib.dhp.schema.common.ModelConstants; import eu.dnetlib.dhp.schema.common.ModelSupport; import eu.dnetlib.dhp.schema.oaf.DataInfo; import eu.dnetlib.dhp.schema.oaf.Relation; import eu.dnetlib.dhp.utils.ISLookupClientFactory; import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService; import org.apache.commons.beanutils.BeanUtils; import org.apache.commons.io.IOUtils; import org.apache.commons.lang3.StringUtils; import org.apache.spark.SparkConf; import org.apache.spark.api.java.function.FilterFunction; import org.apache.spark.api.java.function.MapFunction; import org.apache.spark.api.java.function.ReduceFunction; import org.apache.spark.sql.*; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import scala.Tuple2; import scala.Tuple3; import java.util.Arrays; import java.util.Collections; import java.util.Iterator; import java.util.Objects; import static org.apache.spark.sql.functions.col; public class SparkPropagateRelation extends AbstractSparkAction { private static final Logger log = LoggerFactory.getLogger(SparkPropagateRelation.class); private static Encoder REL_BEAN_ENC = Encoders.bean(Relation.class); private static Encoder REL_KRYO_ENC = Encoders.kryo(Relation.class); public SparkPropagateRelation(ArgumentApplicationParser parser, SparkSession spark) { super(parser, spark); } public static void main(String[] args) throws Exception { ArgumentApplicationParser parser = new ArgumentApplicationParser( IOUtils .toString( SparkPropagateRelation.class .getResourceAsStream( "/eu/dnetlib/dhp/oa/dedup/propagateRelation_parameters.json"))); parser.parseArgument(args); SparkConf conf = new SparkConf(); conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer"); conf.registerKryoClasses(ModelSupport.getOafModelClasses()); new SparkPropagateRelation(parser, getSparkSession(conf)) .run(ISLookupClientFactory.getLookUpService(parser.get("isLookUpUrl"))); } @Override public void run(ISLookUpService isLookUpService) { final String graphBasePath = parser.get("graphBasePath"); final String workingPath = parser.get("workingPath"); final String graphOutputPath = parser.get("graphOutputPath"); log.info("graphBasePath: '{}'", graphBasePath); log.info("workingPath: '{}'", workingPath); log.info("graphOutputPath: '{}'", graphOutputPath); final String outputRelationPath = DedupUtility.createEntityPath(graphOutputPath, "relation"); removeOutputDir(spark, outputRelationPath); Dataset mergeRels = spark .read() .load(DedupUtility.createMergeRelPath(workingPath, "*", "*")) .as(REL_BEAN_ENC); // Dataset mergedIds = mergeRels .where(col("relClass").equalTo(ModelConstants.MERGES)) .select(col("source").as("dedupID"), col("target").as("mergedObjectID")) .distinct() .cache(); Dataset allRels = spark.read() .schema(REL_BEAN_ENC.schema()) .json(DedupUtility.createEntityPath(graphBasePath, "relation")); Dataset dedupedRels = allRels .joinWith(mergedIds, allRels.col("source").equalTo(mergedIds.col("mergedObjectID")), "left_outer") .joinWith(mergedIds, col("_1.target").equalTo(mergedIds.col("mergedObjectID")), "left_outer") .select("_1._1", "_1._2.dedupID", "_2.dedupID") .as(Encoders.tuple(REL_BEAN_ENC, Encoders.STRING(), Encoders.STRING())) .flatMap(SparkPropagateRelation::addInferredRelations, REL_KRYO_ENC); Dataset processedRelations = distinctRelations(dedupedRels.union(mergeRels.map((MapFunction) r -> r, REL_KRYO_ENC))) .filter((FilterFunction) r -> !Objects.equals(r.getSource(), r.getTarget())); save(processedRelations, outputRelationPath, SaveMode.Overwrite); } private static Iterator addInferredRelations(Tuple3 t) throws Exception { Relation existingRel = t._1(); String newSource = t._2(); String newTarget = t._3(); if (newSource == null && newTarget == null) { return Collections.singleton(t._1()).iterator(); } // update existing relation if (existingRel.getDataInfo() == null) { existingRel.setDataInfo(new DataInfo()); } existingRel.getDataInfo().setDeletedbyinference(true); // Create new relation inferred by dedupIDs Relation inferredRel = (Relation) BeanUtils.cloneBean(existingRel); inferredRel.setDataInfo((DataInfo) BeanUtils.cloneBean(existingRel.getDataInfo())); inferredRel.getDataInfo().setDeletedbyinference(false); if (newSource != null) inferredRel.setSource(newSource); if (newTarget != null) inferredRel.setTarget(newTarget); return Arrays.asList(existingRel, inferredRel).iterator(); } private Dataset distinctRelations(Dataset rels) { return rels .filter(getRelationFilterFunction()) .groupByKey( (MapFunction) r -> String .join(" ", r.getSource(), r.getTarget(), r.getRelType(), r.getSubRelType(), r.getRelClass()), Encoders.STRING()) .reduceGroups((ReduceFunction) (b, a) -> { b.mergeFrom(a); return b; } ) .map((MapFunction, Relation>) Tuple2::_2, REL_BEAN_ENC); } private FilterFunction getRelationFilterFunction() { return r -> StringUtils.isNotBlank(r.getSource()) || StringUtils.isNotBlank(r.getTarget()) || StringUtils.isNotBlank(r.getRelType()) || StringUtils.isNotBlank(r.getSubRelType()) || StringUtils.isNotBlank(r.getRelClass()); } }