changed behavior in transformation job, that doesn't fail at first error

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/transformation/TransformSparkJobNode.java

@@ -7,6 +7,7 @@ import static eu.dnetlib.dhp.utils.DHPUtils.*;
 
 import java.io.IOException;
 import java.util.Map;
+import java.util.Objects;
 import java.util.Optional;
 
 import org.apache.commons.io.IOUtils;
@@ -126,7 +127,8 @@ public class TransformSparkJobNode {
 				JavaRDD<MetadataRecord> mdstore = inputMDStore
 					.javaRDD()
 					.repartition(getRepartitionNumber(totalInput, rpt))
-					.map((Function<MetadataRecord, MetadataRecord>) x::call);
+					.map((Function<MetadataRecord, MetadataRecord>) x::call)
+					.filter((Function<MetadataRecord, Boolean>) Objects::nonNull);
 				saveDataset(spark.createDataset(mdstore.rdd(), encoder), outputBasePath + MDSTORE_DATA_PATH);
 
 				log.info("Transformed item {}", ct.getProcessedItems().count());

dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/transformation/xslt/XSLTTransformationFunction.java

@@ -81,7 +81,8 @@ public class XSLTTransformationFunction implements MapFunction<MetadataRecord, M
 			return value;
 		} catch (Throwable e) {
 			aggregationCounter.getErrorItems().add(1);
-			throw new RuntimeException(e);
+			return null;
+//			throw new RuntimeException(e);
 		}
 	}