Java tutorial
/** * 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 * <p/> * http://www.apache.org/licenses/LICENSE-2.0 * <p/> * 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 terasort.processors; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.io.NullWritable; import org.apache.tez.common.TezUtils; import org.apache.tez.mapreduce.processor.SimpleMRProcessor; import org.apache.tez.runtime.api.ProcessorContext; import org.apache.tez.runtime.library.api.KeyValueReader; import org.apache.tez.runtime.library.api.KeyValuesWriter; import terasort.Constants; import terasort.TeraSort; import java.io.IOException; /** * Scan incoming data. * - Send some of it to sampler vertex via broadcast * - Send another copy to partition vertex */ public class ScanProcessor extends SimpleMRProcessor { final long recordsPerSample; public ScanProcessor(ProcessorContext context) throws IOException { super(context); Configuration conf = TezUtils.createConfFromUserPayload(context.getUserPayload()); long sampleSize = conf.getLong(Constants.SAMPLE_SIZE, 100000); int samples = Math.min(conf.getInt(Constants.NUM_PARTITIONS, 2), context.getVertexParallelism()); recordsPerSample = sampleSize / samples; } @Override public void run() throws Exception { long records = 0; KeyValueReader reader = (KeyValueReader) getInputs().get(TeraSort.SOURCE).getReader(); KeyValuesWriter writer = (KeyValuesWriter) getOutputs().get(TeraSort.PARTITION_VERTEX).getWriter(); KeyValuesWriter sampleWriter = (KeyValuesWriter) getOutputs().get(TeraSort.SAMPLER_VERTEX).getWriter(); while (reader.next()) { Object key = reader.getCurrentKey(); Object value = reader.getCurrentValue(); writer.write(key, value); records++; if (recordsPerSample >= records) { sampleWriter.write(key, NullWritable.get()); } } } }