/* * 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 com.aliyun.odps.mapred.local; import java.io.IOException; import java.util.Arrays; import java.util.Comparator; import java.util.Iterator; import java.util.Queue; import org.apache.commons.logging.Log; import org.apache.commons.logging.LogFactory; import com.aliyun.odps.counter.Counters; import com.aliyun.odps.data.Record; import com.aliyun.odps.data.TableInfo; import com.aliyun.odps.data.VolumeInfo; import com.aliyun.odps.mapred.Partitioner; import com.aliyun.odps.mapred.Reducer; import com.aliyun.odps.mapred.Reducer.TaskContext; import com.aliyun.odps.mapred.TaskId; import com.aliyun.odps.mapred.bridge.ErrorCode; import com.aliyun.odps.mapred.bridge.WritableRecord; import com.aliyun.odps.mapred.bridge.type.ColumnBasedRecordComparator; import com.aliyun.odps.mapred.conf.BridgeJobConf; import com.aliyun.odps.utils.ReflectionUtils; import com.aliyun.odps.volume.FileSystem; public class ReduceDriver extends DriverBase { class ReduceContextImpl extends LocalTaskContext implements TaskContext { private Record key; private Comparator<Object[]> keyGroupingComparator; private LocalGroupingRecordIterator itr; private Queue<Object[]> queue; private MapOutputBuffer outputBuffer; private Partitioner partitioner; private Counters counters; public ReduceContextImpl(BridgeJobConf job, TaskId taskId, Counters counters, Queue<Object[]> queue, MapOutputBuffer outputBuffer) throws IOException { super(job, taskId, counters); Class<? extends Partitioner> partitionerClass = null; if (pipeMode) { conf.setReducerClass(pipeNode.getTransformClass()); key = new WritableRecord(pipeNode.getInputKeySchema()); keyGroupingComparator = new ColumnBasedRecordComparator(pipeNode.getInputGroupingColumns(), key.getColumns()); partitionerClass = pipeNode.getPartitionerClass(); } else { key = new WritableRecord(conf.getMapOutputKeySchema()); keyGroupingComparator = new ColumnBasedRecordComparator(conf.getOutputGroupingColumns(), key.getColumns()); } if (partitionerClass != null) { partitioner = ReflectionUtils.newInstance(partitionerClass, getJobConf()); partitioner.configure(conf); } this.queue = queue; this.outputBuffer = outputBuffer; this.counters = counters; } @Override public void write(Record record) throws IOException { write(record, TableInfo.DEFAULT_LABEL); } @Override public void write(Record record, String label) throws IOException { if (outputBuffer != null) { outputBuffer.add(record, label); } recordWriters.get(label).write(record); counters.findCounter(JobCounter.__EMPTY_OUTPUT_RECORD_COUNT).increment(1); } @Override public boolean nextKeyValue() { if (itr == null) { Object[] init = queue.peek(); if (init == null) { return false; } Record value; if (pipeMode) { value = new WritableRecord(pipeNode.getInputValueSchema()); } else { value = new WritableRecord(conf.getMapOutputValueSchema()); } itr = new LocalGroupingRecordIterator(queue, (WritableRecord) key, (WritableRecord) value, keyGroupingComparator, true, counters); key.set(Arrays.copyOf(init, key.getColumnCount())); } else { while (itr.hasNext()) { itr.remove(); } if (!itr.reset()) { return false; } } return true; } @Override public Record getCurrentKey() { return key; } @Override public Iterator<Record> getValues() { return itr; } @Override public void write(Record key, Record value) { if (!pipeMode || pipeNode == null) { throw new UnsupportedOperationException( ErrorCode.INTERMEDIATE_OUTPUT_IN_REDUCER.toString()); } if (partitioner != null) { int part = partitioner.getPartition(key, value, this.getNumReduceTasks()); if (part < 0 || part >= this.getNumReduceTasks()) { throw new RuntimeException("partitioner return invalid partition value:" + part); } this.outputBuffer.add(key, value, part); } else { this.outputBuffer.add(key, value); } counters.findCounter(JobCounter.__EMPTY_OUTPUT_RECORD_COUNT).increment(1); } public void close() throws IOException { closeWriters(); } @Override public VolumeInfo getInputVolumeInfo() throws IOException { // TODO Auto-generated method stub return null; } @Override public VolumeInfo getInputVolumeInfo(String label) throws IOException { // TODO Auto-generated method stub return null; } @Override public VolumeInfo getOutputVolumeInfo() throws IOException { // TODO Auto-generated method stub return null; } @Override public VolumeInfo getOutputVolumeInfo(String label) throws IOException { // TODO Auto-generated method stub return null; } @Override public FileSystem getInputVolumeFileSystem() throws IOException { // TODO Auto-generated method stub return null; } @Override public FileSystem getInputVolumeFileSystem(String label) throws IOException { // TODO Auto-generated method stub return null; } @Override public FileSystem getOutputVolumeFileSystem() throws IOException { // TODO Auto-generated method stub return null; } @Override public FileSystem getOutputVolumeFileSystem(String label) throws IOException { // TODO Auto-generated method stub return null; } } public static final Log LOG = LogFactory.getLog(ReduceDriver.class); private final TaskContext reduceContext; MapOutputBuffer inputBuffer; MapOutputBuffer outputBuffer; public ReduceDriver(BridgeJobConf job, MapOutputBuffer inputBuffer, MapOutputBuffer outputBuffer, TaskId id, Counters counters, int partitionIndex) throws IOException { super(job, id, counters); this.inputBuffer = inputBuffer; this.outputBuffer = outputBuffer; this.reduceContext = new ReduceContextImpl(job, taskId, counters, inputBuffer.getPartitionQueue(partitionIndex), outputBuffer); } public void run() throws IOException { Reducer reducer = ((LocalTaskContext) reduceContext).createReducer(); reducer.setup(reduceContext); while (reduceContext.nextKeyValue()) { reducer.reduce(reduceContext.getCurrentKey(), reduceContext.getValues(), reduceContext); } reducer.cleanup(reduceContext); ((ReduceContextImpl) reduceContext).close(); } }