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 * * 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.beam.runners.spark.io.hadoop; import java.io.IOException; import org.apache.hadoop.fs.Path; import org.apache.hadoop.mapreduce.JobContext; import org.apache.hadoop.mapreduce.TaskAttemptContext; import org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat; /** * Templated sequence file output format. */ public class TemplatedSequenceFileOutputFormat<K, V> extends SequenceFileOutputFormat<K, V> implements ShardNameTemplateAware { @Override public void checkOutputSpecs(JobContext job) { // don't fail if the output already exists } @Override public Path getDefaultWorkFile(TaskAttemptContext context, String extension) throws IOException { // note that the passed-in extension is ignored since it comes from the template return ShardNameTemplateHelper.getDefaultWorkFile(this, context); } }