/** * * Copyright 2017 StreamSets Inc. * * Licensed under the Apache Software Foundation (ASF) under one * or more contributor license agreements. See the NOTICE file * distributed with this work for additional information * regarding copyright ownership. The ASF licenses this file * to you under the Apache License, Version 2.0 (the * "License"); you may not use this file except in compliance * with the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * */ package com.streamsets.pipeline.spark; import com.streamsets.pipeline.ClusterFunctionProvider; import com.streamsets.pipeline.api.Record; import com.streamsets.pipeline.impl.ClusterFunction; import org.apache.spark.api.java.function.VoidFunction; import scala.Tuple2; import java.util.ArrayList; import java.util.Iterator; import java.util.List; public class SparkProcessorErrorMappingFunction implements VoidFunction<Iterator<Tuple2<Record, String>>> { private int id; private static final String ERROR_HEADER = "streamsetsInternalClusterErrorReason"; private SparkProcessorErrorMappingFunction() { } public SparkProcessorErrorMappingFunction(int id) { this.id = id; } @Override public void call(Iterator<Tuple2<Record, String>> errors) throws Exception { ClusterFunction fn = ClusterFunctionProvider.getClusterFunction(); List<Record> errorsToForward = new ArrayList<>(); errors.forEachRemaining(x -> { x._1().getHeader().setAttribute(ERROR_HEADER, x._2()); errorsToForward.add(x._1()); }); fn.writeErrorRecords(errorsToForward, id); } }