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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.Iterator;
import java.util.List;
import org.apache.pig.backend.hadoop.executionengine.spark.PairFlatMapFunctionAdapter;
import org.apache.pig.backend.hadoop.executionengine.spark.SparkShims;
import org.apache.pig.backend.hadoop.executionengine.spark.SparkUtil;
import org.apache.spark.api.java.function.Function2;
import scala.Tuple2;
import scala.runtime.AbstractFunction1;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.pig.backend.hadoop.executionengine.spark.operator.POSampleSortSpark;
import org.apache.pig.data.BagFactory;
import org.apache.pig.data.DataBag;
import org.apache.pig.data.DefaultBagFactory;
import org.apache.pig.data.Tuple;
import org.apache.pig.data.TupleFactory;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.function.Function;
import org.apache.spark.rdd.RDD;
/*
sort the sample data and convert the sample data to the format (all,{(sampleEle1),(sampleEle2),...})
*/
@SuppressWarnings("serial")
public class SparkSampleSortConverter implements RDDConverter<Tuple, Tuple, POSampleSortSpark> {
private static final Log LOG = LogFactory.getLog(SparkSampleSortConverter.class);
private static TupleFactory tf = TupleFactory.getInstance();
private static BagFactory bf = DefaultBagFactory.getInstance();
@Override
public RDD<Tuple> convert(List<RDD<Tuple>> predecessors, POSampleSortSpark sortOperator)
throws IOException {
SparkUtil.assertPredecessorSize(predecessors, sortOperator, 1);
RDD<Tuple> rdd = predecessors.get(0);
RDD<Tuple2<Tuple, Object>> rddPair = rdd.map(new ToKeyValueFunction(),
SparkUtil.<Tuple, Object> getTuple2Manifest());
JavaPairRDD<Tuple, Object> r = new JavaPairRDD<Tuple, Object>(rddPair,
SparkUtil.getManifest(Tuple.class),
SparkUtil.getManifest(Object.class));
//sort sample data
JavaPairRDD<Tuple, Object> sorted = r.sortByKey(true);
//convert every element in sample data from element to (all, element) format
JavaPairRDD<String, Tuple> mapped = sorted.mapPartitionsToPair(SparkShims.getInstance().pairFlatMapFunction(new AggregateFunction()));
//use groupByKey to aggregate all values( the format will be ((all),{(sampleEle1),(sampleEle2),...} )
JavaRDD<Tuple> groupByKey= mapped.groupByKey().map(new ToValueFunction());
return groupByKey.rdd();
}
private static class MergeFunction implements Function2<Tuple, Tuple, Tuple>
, Serializable {
@Override
public Tuple call(Tuple v1, Tuple v2) {
Tuple res = tf.newTuple();
res.append(v1);
res.append(v2);
LOG.info("MergeFunction out:"+res);
return res;
}
}
// input: Tuple2<Tuple,Object>
// output: Tuple2("all", Tuple)
private static class AggregateFunction implements
PairFlatMapFunctionAdapter<Iterator<Tuple2<Tuple, Object>>, String,Tuple>, Serializable {
private class Tuple2TransformIterable implements Iterable<Tuple2<String,Tuple>> {
Iterator<Tuple2<Tuple, Object>> in;
Tuple2TransformIterable(Iterator<Tuple2<Tuple, Object>> input) {
in = input;
}
public Iterator<Tuple2<String,Tuple>> iterator() {
return new IteratorTransform<Tuple2<Tuple, Object>, Tuple2<String,Tuple>>(in) {
@Override
protected Tuple2<String,Tuple> transform(Tuple2<Tuple, Object> next) {
LOG.info("AggregateFunction in:"+ next._1()) ;
return new Tuple2<String,Tuple>("all",next._1());
}
};
}
}
@Override
public Iterator<Tuple2<String, Tuple>> call(Iterator<Tuple2<Tuple, Object>> input) throws Exception {
return new Tuple2TransformIterable(input).iterator();
}
}
private static class ToValueFunction implements Function<Tuple2<String, Iterable<Tuple>>, Tuple> {
@Override
public Tuple call(Tuple2<String, Iterable<Tuple>> next) throws Exception {
Tuple res = tf.newTuple();
res.append(next._1());
Iterator<Tuple> iter = next._2().iterator();
DataBag bag = bf.newDefaultBag();
while(iter.hasNext()) {
bag.add(iter.next());
}
res.append(bag);
LOG.info("ToValueFunction1 out:" + res);
return res;
}
}
private static class ToKeyValueFunction extends
AbstractFunction1<Tuple, Tuple2<Tuple, Object>> implements
Serializable {
@Override
public Tuple2<Tuple, Object> apply(Tuple t) {
if (LOG.isDebugEnabled()) {
LOG.info("Sort ToKeyValueFunction in " + t);
}
Tuple key = t;
Object value = null;
// (key, value)
Tuple2<Tuple, Object> out = new Tuple2<Tuple, Object>(key, value);
if (LOG.isDebugEnabled()) {
LOG.info("Sort ToKeyValueFunction out " + out);
}
return out;
}
}
}