Java tutorial
/* Copyright (C) GridGain Systems. All Rights Reserved. Licensed 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.gridgain.grid.kernal.processors.hadoop.v2; import org.apache.hadoop.fs.Path; import org.apache.hadoop.mapred.JobContextImpl; import org.apache.hadoop.mapreduce.*; import org.apache.hadoop.mapreduce.lib.map.*; import org.apache.hadoop.mapreduce.lib.input.*; import org.apache.hadoop.util.*; import org.gridgain.grid.*; import org.gridgain.grid.hadoop.*; /** * Hadoop map task implementation for v2 API. */ public class GridHadoopV2MapTask extends GridHadoopV2Task { /** * @param taskInfo Task info. */ public GridHadoopV2MapTask(GridHadoopTaskInfo taskInfo) { super(taskInfo); } /** {@inheritDoc} */ @SuppressWarnings({ "ConstantConditions", "unchecked" }) @Override public void run0(GridHadoopV2TaskContext taskCtx) throws GridException { GridHadoopInputSplit split = info().inputSplit(); InputSplit nativeSplit; if (split instanceof GridHadoopFileBlock) { GridHadoopFileBlock block = (GridHadoopFileBlock) split; nativeSplit = new FileSplit(new Path(block.file().toString()), block.start(), block.length(), null); } else nativeSplit = (InputSplit) taskCtx.getNativeSplit(split); assert nativeSplit != null; OutputFormat outputFormat = null; Exception err = null; JobContextImpl jobCtx = taskCtx.jobContext(); try { InputFormat inFormat = ReflectionUtils.newInstance(jobCtx.getInputFormatClass(), hadoopContext().getConfiguration()); RecordReader reader = inFormat.createRecordReader(nativeSplit, hadoopContext()); reader.initialize(nativeSplit, hadoopContext()); hadoopContext().reader(reader); GridHadoopJobInfo jobInfo = taskCtx.job().info(); outputFormat = jobInfo.hasCombiner() || jobInfo.hasReducer() ? null : prepareWriter(jobCtx); Mapper mapper = ReflectionUtils.newInstance(jobCtx.getMapperClass(), hadoopContext().getConfiguration()); try { mapper.run(new WrappedMapper().getMapContext(hadoopContext())); } finally { closeWriter(); } commit(outputFormat); } catch (InterruptedException e) { err = e; Thread.currentThread().interrupt(); throw new GridInterruptedException(e); } catch (Exception e) { err = e; throw new GridException(e); } finally { if (err != null) abort(outputFormat); } } }