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.avro.tool; import java.io.File; import java.io.InputStream; import java.io.PrintStream; import java.util.List; import joptsimple.OptionParser; import joptsimple.OptionSet; import joptsimple.OptionSpec; import org.apache.avro.Schema; import org.apache.avro.mapred.AvroJob; import org.apache.avro.mapred.tether.TetherJob; import org.apache.hadoop.fs.Path; import org.apache.hadoop.mapred.FileInputFormat; import org.apache.hadoop.mapred.FileOutputFormat; import org.apache.hadoop.mapred.JobConf; @SuppressWarnings("deprecation") public class TetherTool implements Tool { public TetherJob job; @Override public String getName() { return "tether"; } @Override public String getShortDescription() { return "Run a tethered mapreduce job."; } @Override public int run(InputStream ins, PrintStream outs, PrintStream err, List<String> args) throws Exception { OptionParser p = new OptionParser(); OptionSpec<File> exec = p.accepts("program", "executable program, usually in HDFS").withRequiredArg() .ofType(File.class); OptionSpec<String> in = p.accepts("in", "comma-separated input paths").withRequiredArg() .ofType(String.class); OptionSpec<Path> out = p.accepts("out", "output directory").withRequiredArg().ofType(Path.class); OptionSpec<File> outSchema = p.accepts("outschema", "output schema file").withRequiredArg() .ofType(File.class); OptionSpec<File> mapOutSchema = p.accepts("outschemamap", "map output schema file, if different") .withOptionalArg().ofType(File.class); OptionSpec<Integer> reduces = p.accepts("reduces", "number of reduces").withOptionalArg() .ofType(Integer.class); JobConf job = new JobConf(); try { OptionSet opts = p.parse(args.toArray(new String[0])); FileInputFormat.addInputPaths(job, in.value(opts)); FileOutputFormat.setOutputPath(job, out.value(opts)); TetherJob.setExecutable(job, exec.value(opts)); job.set(AvroJob.OUTPUT_SCHEMA, Schema.parse(outSchema.value(opts)).toString()); if (opts.hasArgument(mapOutSchema)) job.set(AvroJob.MAP_OUTPUT_SCHEMA, Schema.parse(mapOutSchema.value(opts)).toString()); if (opts.hasArgument(reduces)) job.setNumReduceTasks(reduces.value(opts)); } catch (Exception e) { p.printHelpOn(err); return -1; } TetherJob.runJob(job); return 0; } }