dnet-hadoop/dhp-workflows/dhp-dedup/src/main/java/eu/dnetlib/dedup/SparkPropagateRelationsJob....

117 lines
5.0 KiB
Java

package eu.dnetlib.dedup;
import com.fasterxml.jackson.databind.DeserializationFeature;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.oaf.DataInfo;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.utils.DHPUtils;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.compress.GzipCodec;
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.Optional;
import org.apache.spark.api.java.function.Function;
import org.apache.spark.api.java.function.PairFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.SparkSession;
import scala.Tuple2;
import java.io.IOException;
public class SparkPropagateRelationsJob {
enum FieldType {
SOURCE,
TARGET
}
final static String SOURCEJSONPATH = "$.source";
final static String TARGETJSONPATH = "$.target";
public static void main(String[] args) throws Exception {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(IOUtils.toString(SparkPropagateRelationsJob.class.getResourceAsStream("/eu/dnetlib/dhp/dedup/dedup_propagate_relation_parameters.json")));
parser.parseArgument(args);
final SparkSession spark = SparkSession
.builder()
.appName(SparkUpdateEntityJob.class.getSimpleName())
.master(parser.get("master"))
.getOrCreate();
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
final String relationPath = parser.get("relationPath");
final String mergeRelPath = parser.get("mergeRelPath");
final String targetRelPath = parser.get("targetRelPath");
final Dataset<Relation> df = spark.read().load(mergeRelPath).as(Encoders.bean(Relation.class));
final JavaPairRDD<String, String> mergedIds = df
.where("relClass == 'merges'")
.select(df.col("source"),df.col("target"))
.distinct()
.toJavaRDD()
.mapToPair((PairFunction<Row, String, String>) r -> new Tuple2<>(r.getString(1), r.getString(0)));
final JavaRDD<String> sourceEntity = sc.textFile(relationPath);
JavaRDD<String> newRels = sourceEntity.mapToPair(
(PairFunction<String, String, String>) s ->
new Tuple2<>(DHPUtils.getJPathString(SOURCEJSONPATH, s), s))
.leftOuterJoin(mergedIds)
.map((Function<Tuple2<String, Tuple2<String, Optional<String>>>, String>) v1 -> {
if (v1._2()._2().isPresent()) {
return replaceField(v1._2()._1(), v1._2()._2().get(), FieldType.SOURCE);
}
return v1._2()._1();
})
.mapToPair(
(PairFunction<String, String, String>) s ->
new Tuple2<>(DHPUtils.getJPathString(TARGETJSONPATH, s), s))
.leftOuterJoin(mergedIds)
.map((Function<Tuple2<String, Tuple2<String, Optional<String>>>, String>) v1 -> {
if (v1._2()._2().isPresent()) {
return replaceField(v1._2()._1(), v1._2()._2().get(), FieldType.TARGET);
}
return v1._2()._1();
}).filter(SparkPropagateRelationsJob::containsDedup)
.repartition(500);
newRels.union(sourceEntity).repartition(1000).saveAsTextFile(targetRelPath, GzipCodec.class);
}
private static boolean containsDedup(final String json) {
final String source = DHPUtils.getJPathString(SOURCEJSONPATH, json);
final String target = DHPUtils.getJPathString(TARGETJSONPATH, json);
return source.toLowerCase().contains("dedup") || target.toLowerCase().contains("dedup");
}
private static String replaceField(final String json, final String id, final FieldType type) {
ObjectMapper mapper = new ObjectMapper();
mapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
try {
Relation relation = mapper.readValue(json, Relation.class);
if (relation.getDataInfo() == null)
relation.setDataInfo(new DataInfo());
relation.getDataInfo().setDeletedbyinference(false);
switch (type) {
case SOURCE:
relation.setSource(id);
return mapper.writeValueAsString(relation);
case TARGET:
relation.setTarget(id);
return mapper.writeValueAsString(relation);
default:
throw new IllegalArgumentException("");
}
} catch (IOException e) {
throw new RuntimeException("unable to deserialize json relation: " + json, e);
}
}
}