dnet-hadoop/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/graph/sx/SparkSXGeneratePidSimlarity...

64 lines
2.7 KiB
Java

package eu.dnetlib.dhp.graph.sx;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.utils.DHPUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.PairFunction;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import scala.Tuple2;
/**
* In some case the identifier generated for the Entity in @{@link SparkExtractEntitiesJob} is different from the identifier
* * associated by the aggregator, this means that some relation points to missing identifier
* To avoid this problem we store in the model the Id and the OriginalObJIdentifier
* This jobs extract this pair and creates a Similar relation that will be used in SparkMergeEntities
*
*/
public class SparkSXGeneratePidSimlarity {
final static String IDJSONPATH = "$.id";
final static String OBJIDPATH = "$.originalObjIdentifier";
public static void generateDataFrame(final SparkSession spark, final JavaSparkContext sc, final String inputPath, final String targetPath) {
final JavaPairRDD<String, String> datasetSimRel = sc.textFile(inputPath+"/dataset/*")
.mapToPair((PairFunction<String, String, String>) k ->
new Tuple2<>(DHPUtils.getJPathString(IDJSONPATH, k),DHPUtils.getJPathString(OBJIDPATH, k)))
.filter(t ->
!StringUtils.substringAfter(t._1(), "|")
.equalsIgnoreCase(StringUtils.substringAfter(t._2(), "::")))
.distinct();
final JavaPairRDD<String, String> publicationSimRel = sc.textFile(inputPath+"/publication/*")
.mapToPair((PairFunction<String, String, String>) k ->
new Tuple2<>(DHPUtils.getJPathString(IDJSONPATH, k),DHPUtils.getJPathString(OBJIDPATH, k)))
.filter(t ->
!StringUtils.substringAfter(t._1(), "|")
.equalsIgnoreCase(StringUtils.substringAfter(t._2(), "::")))
.distinct();
JavaRDD<Relation> simRel = datasetSimRel.union(publicationSimRel).map(s -> {
final Relation r = new Relation();
r.setSource(s._1());
r.setTarget(s._2());
r.setRelType("similar");
return r;
}
);
spark.createDataset(simRel.rdd(), Encoders.bean(Relation.class)).distinct().write()
.mode(SaveMode.Overwrite).save(targetPath+"/pid_simRel");
}
}