| /* |
| * 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.SparkPigContext; |
| import org.apache.pig.backend.hadoop.executionengine.spark.SparkUtil; |
| import org.apache.pig.data.Tuple; |
| import org.apache.spark.api.java.function.FlatMapFunction; |
| 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(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 |
| FlatMapFunction<Iterator<Tuple>, Tuple>, Serializable { |
| |
| private POFRJoin poFRJoin; |
| private FRJoinFunction(POFRJoin poFRJoin) { |
| this.poFRJoin = poFRJoin; |
| } |
| |
| @Override |
| public Iterable<Tuple> call(final Iterator<Tuple> input) throws Exception { |
| |
| return new Iterable<Tuple>() { |
| |
| @Override |
| public Iterator<Tuple> iterator() { |
| 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; |
| } |
| } |