-

dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/funderresults/SparkPrepareResultProject.java

@@ -65,7 +65,7 @@ public class SparkPrepareResultProject implements Serializable {
 			isSparkSessionManaged,
 			spark -> {
 				Utils.removeOutputDir(spark, outputPath);
-				prepareResultProjectList2(spark, inputPath, outputPath, communityMapPath);
+				prepareResultProjectList(spark, inputPath, outputPath, communityMapPath);
 			});
 	}
 
@@ -115,51 +115,6 @@ public class SparkPrepareResultProject implements Serializable {
 					.option("compression", "gzip")
 					.json(outputPath + "/" + funder);
 			});
-
-	}
-
-	private static void prepareResultProjectList2(SparkSession spark, String inputPath, String outputPath,
-		String communityMapPath) {
-
-		CommunityMap communityMap = Utils.getCommunityMap(spark, communityMapPath);
-
-		Dataset<Relation> relation = Utils
-			.readPath(spark, inputPath + "/relation", Relation.class)
-			.filter("dataInfo.deletedbyinference = false and relClass = 'produces'");
-
-		Dataset<eu.dnetlib.dhp.schema.oaf.Result> result = Utils
-			.readPath(spark, inputPath + "/publication", eu.dnetlib.dhp.schema.oaf.Result.class)
-			.union(Utils.readPath(spark, inputPath + "/dataset", eu.dnetlib.dhp.schema.oaf.Result.class))
-			.union(Utils.readPath(spark, inputPath + "/otherresearchproduct", eu.dnetlib.dhp.schema.oaf.Result.class))
-			.union(Utils.readPath(spark, inputPath + "/software", eu.dnetlib.dhp.schema.oaf.Result.class));
-
-		result
-			.joinWith(relation, result.col("id").equalTo(relation.col("target")))
-			.groupByKey(
-				(MapFunction<Tuple2<eu.dnetlib.dhp.schema.oaf.Result, Relation>, String>) value -> value
-					._2()
-					.getSource()
-					.substring(3, 15),
-				Encoders.STRING())
-			.mapGroups(
-				(MapGroupsFunction<String, Tuple2<eu.dnetlib.dhp.schema.oaf.Result, Relation>, String>) (s, it) -> {
-					Tuple2<eu.dnetlib.dhp.schema.oaf.Result, Relation> first = it.next();
-					List<Result> resultList = new ArrayList<>();
-					resultList.add(ResultMapper.map(first._1(), communityMap, true));
-					it.forEachRemaining(c -> {
-						resultList.add(ResultMapper.map(c._1(), communityMap, true));
-
-					});
-					spark
-						.createDataFrame(resultList, Result.class)
-						.write()
-						.mode(SaveMode.Overwrite)
-						.option("compression", "gzip")
-						.json(outputPath + "/" + s);
-
-					return new String();
-				}, Encoders.STRING());
-
 	}
 
 }