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/*
* Licensed to 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 org.apache.pig.backend.hadoop.executionengine.spark.converter;
import java.io.IOException;
import java.io.Serializable;
import java.util.HashMap;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Set;
import org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POFRJoinSpark;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.pig.backend.executionengine.ExecException;
import org.apache.pig.backend.hadoop.executionengine.physicalLayer.Result;
import org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POFRJoin;
import org.apache.pig.backend.hadoop.executionengine.spark.FlatMapFunctionAdapter;
import org.apache.pig.backend.hadoop.executionengine.spark.SparkPigContext;
import org.apache.pig.backend.hadoop.executionengine.spark.SparkShims;
import org.apache.pig.backend.hadoop.executionengine.spark.SparkUtil;
import org.apache.pig.data.Tuple;
import org.apache.spark.rdd.RDD;
@SuppressWarnings("serial")
public class FRJoinConverter implements
RDDConverter<Tuple, Tuple, POFRJoin> {
private static final Log LOG = LogFactory.getLog(FRJoinConverter.class);
private Set<String> replicatedInputs;
public RDD<Tuple> convert(List<RDD<Tuple>> predecessors,
POFRJoin poFRJoin) throws IOException {
SparkUtil.assertPredecessorSizeGreaterThan(predecessors, poFRJoin, 1);
RDD<Tuple> rdd = predecessors.get(0);
attachReplicatedInputs((POFRJoinSpark) poFRJoin);
FRJoinFunction frJoinFunction = new FRJoinFunction(poFRJoin);
return rdd.toJavaRDD().mapPartitions(SparkShims.getInstance().flatMapFunction(frJoinFunction), true).rdd();
}
private void attachReplicatedInputs(POFRJoinSpark poFRJoin) {
Map<String, List<Tuple>> replicatedInputMap = new HashMap<>();
for (String replicatedInput : replicatedInputs) {
replicatedInputMap.put(replicatedInput, SparkPigContext.get().getBroadcastedVars().get(replicatedInput).value());
}
poFRJoin.attachInputs(replicatedInputMap);
}
private static class FRJoinFunction implements
FlatMapFunctionAdapter<Iterator<Tuple>, Tuple>, Serializable {
private POFRJoin poFRJoin;
private FRJoinFunction(POFRJoin poFRJoin) {
this.poFRJoin = poFRJoin;
}
@Override
public Iterator<Tuple> call(final Iterator<Tuple> input) {
return new OutputConsumerIterator(input) {
@Override
protected void attach(Tuple tuple) {
poFRJoin.setInputs(null);
poFRJoin.attachInput(tuple);
}
@Override
protected Result getNextResult() throws ExecException {
return poFRJoin.getNextTuple();
}
@Override
protected void endOfInput() {
}
};
}
}
public void setReplicatedInputs(Set<String> replicatedInputs) {
this.replicatedInputs = replicatedInputs;
}
}