package hip.ch6.sampler; import hip.util.Cli; import hip.util.CliCommonOpts; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.conf.Configured; import org.apache.hadoop.fs.Path; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; import org.apache.hadoop.mapreduce.lib.input.TextInputFormat; import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; import org.apache.hadoop.util.Tool; import org.apache.hadoop.util.ToolRunner; public final class SamplerJob extends Configured implements Tool { /** * Main entry point for the example. * * @param args arguments * @throws Exception when something goes wrong */ public static void main(final String[] args) throws Exception { int res = ToolRunner.run(new Configuration(), new SamplerJob(), args); System.exit(res); } /** * The MapReduce driver - setup and launch the job. * * @param args the command-line arguments * @return the process exit code * @throws Exception if something goes wrong */ public int run(final String[] args) throws Exception { Cli cli = Cli.builder().setArgs(args).addOptions(CliCommonOpts.MrIoOpts.values()).build(); int result = cli.runCmd(); if (result != 0) { return result; } Path inputPath = new Path(cli.getArgValueAsString(CliCommonOpts.MrIoOpts.INPUT)); Path outputPath = new Path(cli.getArgValueAsString(CliCommonOpts.MrIoOpts.OUTPUT)); Configuration conf = super.getConf(); Job job = new Job(conf); job.setJarByClass(SamplerJob.class); ReservoirSamplerInputFormat.setInputFormat(job, TextInputFormat.class); ReservoirSamplerInputFormat.setNumSamples(job, 10); ReservoirSamplerInputFormat.setMaxRecordsToRead(job, 10000); ReservoirSamplerInputFormat. setUseSamplesNumberPerInputSplit(job, true); FileInputFormat.setInputPaths(job, inputPath); FileOutputFormat.setOutputPath(job, outputPath); outputPath.getFileSystem(conf).delete(outputPath, true); if (job.waitForCompletion(true)) { return 0; } return 1; } }