code formatting

dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkPropagateRelation.java

@@ -73,7 +73,7 @@ public class SparkPropagateRelation extends AbstractSparkAction {
 			.load(DedupUtility.createMergeRelPath(workingPath, "*", "*"))
 			.as(Encoders.bean(Relation.class));
 
-		//<mergedObjectID, dedupID>
+		// <mergedObjectID, dedupID>
 		Dataset<Tuple2<String, String>> mergedIds = mergeRels
 			.where(col("relClass").equalTo(ModelConstants.MERGES))
 			.select(col("source"), col("target"))
@@ -116,31 +116,32 @@ public class SparkPropagateRelation extends AbstractSparkAction {
 			.map((MapFunction<Tuple2<String, Relation>, Relation>) t -> t._2(), Encoders.bean(Relation.class));
 	}
 
-	//redirect the relations to the dedupID
+	// redirect the relations to the dedupID
 	private static Dataset<Relation> createNewRels(
-		Dataset<Relation> rels, //all the relations to be redirected
-		Dataset<Tuple2<String, String>> mergedIds, //merge rels: <mergedObjectID, dedupID>
+		Dataset<Relation> rels, // all the relations to be redirected
+		Dataset<Tuple2<String, String>> mergedIds, // merge rels: <mergedObjectID, dedupID>
 		MapFunction<Tuple2<Tuple2<Tuple3<String, Relation, String>, Tuple2<String, String>>, Tuple2<String, String>>, Relation> mapRel) {
 
-		//<sourceID, relation, targetID>
+		// <sourceID, relation, targetID>
 		Dataset<Tuple3<String, Relation, String>> mapped = rels
 			.map(
 				(MapFunction<Relation, Tuple3<String, Relation, String>>) r -> new Tuple3<>(getId(r, FieldType.SOURCE),
 					r, getId(r, FieldType.TARGET)),
 				Encoders.tuple(Encoders.STRING(), Encoders.kryo(Relation.class), Encoders.STRING()));
 
-		//< <sourceID, relation, target>, <sourceID, dedupID> >
+		// < <sourceID, relation, target>, <sourceID, dedupID> >
 		Dataset<Tuple2<Tuple3<String, Relation, String>, Tuple2<String, String>>> relSource = mapped
 			.joinWith(mergedIds, mapped.col("_1").equalTo(mergedIds.col("_1")), "left_outer");
 
-		//< <<sourceID, relation, targetID>, <sourceID, dedupID>>, <targetID, dedupID> >
+		// < <<sourceID, relation, targetID>, <sourceID, dedupID>>, <targetID, dedupID> >
 		Dataset<Tuple2<Tuple2<Tuple3<String, Relation, String>, Tuple2<String, String>>, Tuple2<String, String>>> relSourceTarget = relSource
-				.joinWith(mergedIds, relSource.col("_1._3").equalTo(mergedIds.col("_1")), "left_outer");
+			.joinWith(mergedIds, relSource.col("_1._3").equalTo(mergedIds.col("_1")), "left_outer");
 
 		return relSourceTarget
 			.filter(
-				(FilterFunction<Tuple2<Tuple2<Tuple3<String, Relation, String>, Tuple2<String, String>>, Tuple2<String, String>>>)
-						r -> r._1()._1() != null || r._2() != null)
+				(FilterFunction<Tuple2<Tuple2<Tuple3<String, Relation, String>, Tuple2<String, String>>, Tuple2<String, String>>>) r -> r
+					._1()
+					._1() != null || r._2() != null)
 			.map(mapRel, Encoders.bean(Relation.class))
 			.distinct();
 	}