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Avro command line tools and utilities
/**
* 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 args) throws Exception {
OptionParser p = new OptionParser();
OptionSpec exec = p
.accepts("program", "executable program, usually in HDFS")
.withRequiredArg().ofType(File.class);
OptionSpec in = p.accepts("in", "comma-separated input paths")
.withRequiredArg().ofType(String.class);
OptionSpec out = p.accepts("out", "output directory")
.withRequiredArg().ofType(Path.class);
OptionSpec outSchema = p.accepts("outschema", "output schema file")
.withRequiredArg().ofType(File.class);
OptionSpec mapOutSchema = p
.accepts("outschemamap", "map output schema file, if different")
.withOptionalArg().ofType(File.class);
OptionSpec 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;
}
}
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