/**
*
* 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);
}
}