Example usage for org.apache.hadoop.mapreduce Job setOutputFormatClass

Introduction

In this page you can find the example usage for org.apache.hadoop.mapreduce Job setOutputFormatClass.

Prototype

public void setOutputFormatClass(Class<? extends OutputFormat> cls) throws IllegalStateException 

Source Link

Document

Set the OutputFormat for the job.

Usage

From source file:com.bigfishgames.biginsights.upsight.mapreduce.MapReduceAvroWordCount.java

License:Apache License

public int run(String[] args) throws Exception {
    if (args.length != 2) {
        System.err.println("Usage: AvroWordCount <input path> <output path>");
        return -1;
    }/*w  w w .j av a 2 s  .  c o  m*/

    Job job = new Job(getConf());
    job.setJarByClass(MapReduceAvroWordCount.class);
    job.setJobName("wordcount");

    // We call setOutputSchema first so we can override the configuration
    // parameters it sets
    // AvroJob.setOutputKeySchema(job,
    //                         Pair.getPairSchema(Schema.create(Type.STRING),
    //                                           Schema.create(Type.NULL)));
    AvroJob.setOutputKeySchema(job, Event.getClassSchema());

    job.setOutputValueClass(NullWritable.class);

    job.setMapperClass(Map.class);
    job.setReducerClass(Reduce.class);

    job.setInputFormatClass(TextInputFormat.class);
    job.setOutputFormatClass(MyAvroKeyOutputFormat.class);

    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(IntWritable.class);
    job.setSortComparatorClass(Text.Comparator.class);

    FileInputFormat.setInputPaths(job, new Path(args[0]));
    FileOutputFormat.setOutputPath(job, new Path(args[1]));

    job.waitForCompletion(true);

    return 0;
}

---

From source file:com.blackberry.logdriver.util.Cat.java

License:Apache License

@Override
public int run(String[] args) throws Exception {
    Configuration conf = getConf(); // Configuration processed by ToolRunner
    // If run by Oozie, then load the Oozie conf too
    if (System.getProperty("oozie.action.conf.xml") != null) {
        conf.addResource(new URL("file://" + System.getProperty("oozie.action.conf.xml")));
    }//  www  .  j  a va2s  .c  om

    FileSystem fs = FileSystem.get(conf);

    // The command line options
    List<Path> paths = new ArrayList<Path>();
    Path outputDir = null;

    // Load input files from the command line
    if (args.length < 2) {
        System.out.println("usage: [genericOptions] input [input ...] output");
        System.exit(1);
    }

    // Get the files we need from the command line.
    for (int i = 0; i < args.length - 1; i++) {
        for (FileStatus f : fs.globStatus(new Path(args[i]))) {
            paths.add(f.getPath());
        }
    }
    outputDir = new Path(args[args.length - 1]);

    @SuppressWarnings("deprecation")
    Job job = new Job(conf);
    Configuration jobConf = job.getConfiguration();

    job.setJarByClass(Cat.class);
    jobConf.setIfUnset("mapred.job.name", "Cat Files");

    // To propagate credentials within Oozie
    if (System.getenv("HADOOP_TOKEN_FILE_LOCATION") != null) {
        jobConf.set("mapreduce.job.credentials.binary", System.getenv("HADOOP_TOKEN_FILE_LOCATION"));
    }

    // Good output separators include things that are unsupported by XML. So we
    // just send the byte value of the character through. The restriction here
    // is that it can't be more than 1 byte when UTF-8 encoded, since it will be
    // read by Pig which only deals with single byte separators.
    {
        String outputSeparator = jobConf.get("logdriver.output.field.separator", DEFAULT_OUTPUT_SEPARATOR);
        byte[] bytes = outputSeparator.getBytes(UTF_8);
        if (bytes.length != 1) {
            LOG.error("The output separator must be a single byte in UTF-8.");
            return 1;
        }
        jobConf.set("logdriver.output.field.separator", Byte.toString(bytes[0]));
    }

    job.setInputFormatClass(BoomInputFormat.class);
    job.setMapperClass(CatMapper.class);
    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(NullWritable.class);

    job.setNumReduceTasks(0);

    job.setOutputFormatClass(TextOutputFormat.class);
    TextOutputFormat.setOutputPath(job, outputDir);

    for (Path path : paths) {
        BoomInputFormat.addInputPath(job, path);
    }

    // Run the job.
    if (conf.getBoolean("job.wait", DEFAULT_WAIT_JOB)) {
        return job.waitForCompletion(true) ? 0 : 1;
    } else {
        job.submit();
        return 0;
    }
}

---

From source file:com.blackberry.logdriver.util.FastSearch.java

License:Apache License

@Override
public int run(String[] args) throws Exception {
    Configuration conf = getConf(); // Configuration processed by ToolRunner
    // If run by Oozie, then load the Oozie conf too
    if (System.getProperty("oozie.action.conf.xml") != null) {
        conf.addResource(new URL("file://" + System.getProperty("oozie.action.conf.xml")));
    }/*from www.j  a  v  a 2 s.com*/

    FileSystem fs = FileSystem.get(conf);

    // The command line options
    String searchString = null;
    List<Path> paths = new ArrayList<Path>();
    Path outputDir = null;

    // Load input files from the command line
    if (args.length < 3) {
        System.out.println("usage: [genericOptions] searchString input [input ...] output");
        System.exit(1);
    }

    // Get the files we need from the command line.
    searchString = args[0];
    for (int i = 1; i < args.length - 1; i++) {
        for (FileStatus f : fs.globStatus(new Path(args[i]))) {
            paths.add(f.getPath());
        }
    }
    outputDir = new Path(args[args.length - 1]);

    @SuppressWarnings("deprecation")
    Job job = new Job(conf);
    Configuration jobConf = job.getConfiguration();

    job.setJarByClass(FastSearch.class);
    jobConf.setIfUnset("mapred.job.name", "Search Files");

    // To propagate credentials within Oozie
    if (System.getenv("HADOOP_TOKEN_FILE_LOCATION") != null) {
        jobConf.set("mapreduce.job.credentials.binary", System.getenv("HADOOP_TOKEN_FILE_LOCATION"));
    }

    // Good output separators include things that are unsupported by XML. So we
    // just send the byte value of the character through. The restriction here
    // is that it can't be more than 1 byte when UTF-8 encoded, since it will be
    // read by Pig which only deals with single byte separators.
    {
        String outputSeparator = jobConf.get("logdriver.output.field.separator", DEFAULT_OUTPUT_SEPARATOR);
        byte[] bytes = outputSeparator.getBytes(UTF_8);
        if (bytes.length != 1) {
            LOG.error("The output separator must be a single byte in UTF-8.");
            return 1;
        }

        jobConf.set("logdriver.output.field.separator", Byte.toString(bytes[0]));
    }

    jobConf.set("logdriver.search.string", Base64.encodeBase64String(searchString.getBytes("UTF-8")));

    job.setInputFormatClass(AvroBlockInputFormat.class);
    job.setMapperClass(SearchMapper.class);
    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(NullWritable.class);

    job.setNumReduceTasks(0);

    // And set the output as usual
    job.setOutputFormatClass(TextOutputFormat.class);
    TextOutputFormat.setOutputPath(job, outputDir);
    for (Path path : paths) {
        AvroBlockInputFormat.addInputPath(job, path);
    }

    // Run the job.
    if (conf.getBoolean("job.wait", DEFAULT_WAIT_JOB)) {
        return job.waitForCompletion(true) ? 0 : 1;
    } else {
        job.submit();
        return 0;
    }
}

---

From source file:com.blackberry.logdriver.util.Grep.java

License:Apache License

@Override
public int run(String[] args) throws Exception {
    Configuration conf = getConf(); // Configuration processed by ToolRunner
    // If run by Oozie, then load the Oozie conf too
    if (System.getProperty("oozie.action.conf.xml") != null) {
        conf.addResource(new URL("file://" + System.getProperty("oozie.action.conf.xml")));
    }// ww w  . j a  va 2 s.co m

    FileSystem fs = FileSystem.get(conf);

    // The command line options
    String regex = null;
    List<Path> paths = new ArrayList<Path>();
    Path outputDir = null;

    // Load input files from the command line
    if (args.length < 3) {
        System.out.println("usage: [genericOptions] regex input [input ...] output");
        System.exit(1);
    }

    // Get the files we need from the command line.
    regex = args[0];
    for (int i = 1; i < args.length - 1; i++) {
        for (FileStatus f : fs.globStatus(new Path(args[i]))) {
            paths.add(f.getPath());
        }
    }
    outputDir = new Path(args[args.length - 1]);

    @SuppressWarnings("deprecation")
    Job job = new Job(conf);
    Configuration jobConf = job.getConfiguration();

    job.setJarByClass(Grep.class);
    jobConf.setIfUnset("mapred.job.name", "Grep Files");

    // To propagate credentials within Oozie
    if (System.getenv("HADOOP_TOKEN_FILE_LOCATION") != null) {
        jobConf.set("mapreduce.job.credentials.binary", System.getenv("HADOOP_TOKEN_FILE_LOCATION"));
    }

    // Good output separators include things that are unsupported by XML. So we
    // just send the byte value of the character through. The restriction here
    // is that it can't be more than 1 byte when UTF-8 encoded, since it will be
    // read by Pig which only deals with single byte separators.
    {
        String outputSeparator = jobConf.get("logdriver.output.field.separator", DEFAULT_OUTPUT_SEPARATOR);
        byte[] bytes = outputSeparator.getBytes(UTF_8);
        if (bytes.length != 1) {
            LOG.error("The output separator must be a single byte in UTF-8.");
            return 1;
        }

        jobConf.set("logdriver.output.field.separator", Byte.toString(bytes[0]));
    }

    jobConf.set("logdriver.grep.regex", Base64.encodeBase64String(regex.getBytes("UTF-8")));

    job.setInputFormatClass(BoomInputFormat.class);
    job.setMapperClass(GrepMapper.class);
    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(NullWritable.class);

    job.setNumReduceTasks(0);

    // And set the output as usual
    job.setOutputFormatClass(TextOutputFormat.class);
    TextOutputFormat.setOutputPath(job, outputDir);
    for (Path path : paths) {
        BoomInputFormat.addInputPath(job, path);
    }

    // Run the job.
    if (conf.getBoolean("job.wait", DEFAULT_WAIT_JOB)) {
        return job.waitForCompletion(true) ? 0 : 1;
    } else {
        job.submit();
        return 0;
    }

}

---

From source file:com.blackberry.logdriver.util.MultiSearch.java

License:Apache License

@Override
public int run(String[] args) throws Exception {
    Configuration conf = getConf(); // Configuration processed by ToolRunner
    // If run by Oozie, then load the Oozie conf too
    if (System.getProperty("oozie.action.conf.xml") != null) {
        conf.addResource(new URL("file://" + System.getProperty("oozie.action.conf.xml")));
    }/*  w w  w.ja  v a 2  s  . c  o m*/

    FileSystem fs = FileSystem.get(conf);

    // The command line options
    String searchStringDir = null;
    List<Path> paths = new ArrayList<Path>();
    Path outputDir = null;

    // Load input files from the command line
    if (args.length < 3) {
        System.out.println("usage: [genericOptions] searchStringDirectory input [input ...] output");
        System.exit(1);
    }

    // Get the files we need from the command line.
    searchStringDir = args[0];
    // We are going to be reading all the files in this directory a lot. So
    // let's up the replication factor by a lot so that they're easy to read.
    for (FileStatus f : fs.listStatus(new Path(searchStringDir))) {
        fs.setReplication(f.getPath(), (short) 16);
    }

    for (int i = 1; i < args.length - 1; i++) {
        for (FileStatus f : fs.globStatus(new Path(args[i]))) {
            paths.add(f.getPath());
        }
    }

    outputDir = new Path(args[args.length - 1]);

    @SuppressWarnings("deprecation")
    Job job = new Job(conf);
    Configuration jobConf = job.getConfiguration();

    job.setJarByClass(MultiSearch.class);
    jobConf.setIfUnset("mapred.job.name", "MultiSearch");

    // To propagate credentials within Oozie
    if (System.getenv("HADOOP_TOKEN_FILE_LOCATION") != null) {
        jobConf.set("mapreduce.job.credentials.binary", System.getenv("HADOOP_TOKEN_FILE_LOCATION"));
    }

    // Good output separators include things that are unsupported by XML. So we
    // just send the byte value of the character through. The restriction here
    // is that it can't be more than 1 byte when UTF-8 encoded, since it will be
    // read by Pig which only deals with single byte separators.
    {
        String outputSeparator = jobConf.get("logdriver.output.field.separator", DEFAULT_OUTPUT_SEPARATOR);
        byte[] bytes = outputSeparator.getBytes(UTF_8);
        if (bytes.length != 1) {
            LOG.error("The output separator must be a single byte in UTF-8.");
            return 1;
        }

        jobConf.set("logdriver.output.field.separator", Byte.toString(bytes[0]));
    }

    jobConf.set("logdriver.search.string.dir", searchStringDir);

    // This search is generally too fast to make good use of 128MB blocks, so
    // let's set the value to 256MB (if it's not set already)
    if (jobConf.get("mapred.max.split.size") == null) {
        jobConf.setLong("mapred.max.split.size", 256 * 1024 * 1024);
    }

    job.setInputFormatClass(AvroBlockInputFormat.class);
    job.setMapperClass(SearchMapper.class);
    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(NullWritable.class);

    job.setNumReduceTasks(0);

    job.setOutputFormatClass(TextOutputFormat.class);
    TextOutputFormat.setOutputPath(job, outputDir);
    for (Path path : paths) {
        AvroBlockInputFormat.addInputPath(job, path);
    }

    // Run the job.
    if (conf.getBoolean("job.wait", DEFAULT_WAIT_JOB)) {
        return job.waitForCompletion(true) ? 0 : 1;
    } else {
        job.submit();
        return 0;
    }
}

---

From source file:com.blackberry.logdriver.util.Search.java

License:Apache License

@Override
public int run(String[] args) throws Exception {
    Configuration conf = getConf(); // Configuration processed by ToolRunner
    // If run by Oozie, then load the Oozie conf too
    if (System.getProperty("oozie.action.conf.xml") != null) {
        conf.addResource(new URL("file://" + System.getProperty("oozie.action.conf.xml")));
    }//  w  ww .  ja  v a 2  s  .c o m

    FileSystem fs = FileSystem.get(conf);

    // The command line options
    String searchString = null;
    List<Path> paths = new ArrayList<Path>();
    Path outputDir = null;

    // Load input files from the command line
    if (args.length < 3) {
        System.out.println("usage: [genericOptions] searchString input [input ...] output");
        System.exit(1);
    }

    // Get the files we need from the command line.
    searchString = args[0];
    for (int i = 1; i < args.length - 1; i++) {
        for (FileStatus f : fs.globStatus(new Path(args[i]))) {
            paths.add(f.getPath());
        }
    }
    outputDir = new Path(args[args.length - 1]);

    @SuppressWarnings("deprecation")
    Job job = new Job(conf);
    Configuration jobConf = job.getConfiguration();

    job.setJarByClass(Search.class);
    jobConf.setIfUnset("mapred.job.name", "Search Files");

    // To propagate credentials within Oozie
    if (System.getenv("HADOOP_TOKEN_FILE_LOCATION") != null) {
        jobConf.set("mapreduce.job.credentials.binary", System.getenv("HADOOP_TOKEN_FILE_LOCATION"));
    }

    // Good output separators include things that are unsupported by XML. So we
    // just send the byte value of the character through. The restriction here
    // is that it can't be more than 1 byte when UTF-8 encoded, since it will be
    // read by Pig which only deals with single byte separators.
    {
        String outputSeparator = jobConf.get("logdriver.output.field.separator", DEFAULT_OUTPUT_SEPARATOR);
        byte[] bytes = outputSeparator.getBytes(UTF_8);
        if (bytes.length != 1) {
            LOG.error("The output separator must be a single byte in UTF-8.");
            return 1;
        }

        jobConf.set("logdriver.output.field.separator", Byte.toString(bytes[0]));
    }

    jobConf.set("logdriver.search.string", searchString);

    job.setInputFormatClass(BoomInputFormat.class);
    job.setMapperClass(SearchMapper.class);
    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(NullWritable.class);

    job.setNumReduceTasks(0);

    // And set the output as usual
    job.setOutputFormatClass(TextOutputFormat.class);
    TextOutputFormat.setOutputPath(job, outputDir);
    for (Path path : paths) {
        BoomInputFormat.addInputPath(job, path);
    }

    // Run the job.
    if (conf.getBoolean("job.wait", DEFAULT_WAIT_JOB)) {
        return job.waitForCompletion(true) ? 0 : 1;
    } else {
        job.submit();
        return 0;
    }
}

---

From source file:com.cg.mapreduce.fpgrowth.mahout.fpm.PFPGrowth.java

License:Apache License

/**
 * Run the aggregation Job to aggregate the different TopK patterns and group each Pattern by the features
 * present in it and thus calculate the final Top K frequent Patterns for each feature
 *///from ww w .j av  a 2  s.  c  o m
public static void startAggregating(Parameters params, Configuration conf)
        throws IOException, InterruptedException, ClassNotFoundException {

    conf.set(PFP_PARAMETERS, params.toString());
    conf.set("mapred.compress.map.output", "true");
    conf.set("mapred.output.compression.type", "BLOCK");

    Path input = new Path(params.get(OUTPUT), FPGROWTH);
    Job job = new Job(conf, "PFP Aggregator Driver running over input: " + input);
    job.setJarByClass(PFPGrowth.class);

    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(TopKStringPatterns.class);

    FileInputFormat.addInputPath(job, input);
    Path outPath = new Path(params.get(OUTPUT), FREQUENT_PATTERNS);
    FileOutputFormat.setOutputPath(job, outPath);

    job.setInputFormatClass(SequenceFileInputFormat.class);
    job.setMapperClass(AggregatorMapper.class);
    job.setCombinerClass(AggregatorReducer.class);
    job.setReducerClass(AggregatorReducer.class);
    job.setOutputFormatClass(SequenceFileOutputFormat.class);

    HadoopUtil.delete(conf, outPath);
    boolean succeeded = job.waitForCompletion(true);
    if (!succeeded) {
        throw new IllegalStateException("Job failed!");
    }
}

---

From source file:com.cg.mapreduce.fpgrowth.mahout.fpm.PFPGrowth.java

License:Apache License

/**
 * Count the frequencies of various features in parallel using Map/Reduce
 *//*w  ww. jav a2 s .  c om*/
public static void startParallelCounting(Parameters params, Configuration conf)
        throws IOException, InterruptedException, ClassNotFoundException {
    conf.set(PFP_PARAMETERS, params.toString());

    conf.set("mapred.compress.map.output", "true");
    conf.set("mapred.output.compression.type", "BLOCK");

    String input = params.get(INPUT);
    Job job = new Job(conf, "Parallel Counting Driver running over input: " + input);
    job.setJarByClass(PFPGrowth.class);

    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(LongWritable.class);

    FileInputFormat.addInputPath(job, new Path(input));
    Path outPath = new Path(params.get(OUTPUT), PARALLEL_COUNTING);
    FileOutputFormat.setOutputPath(job, outPath);

    HadoopUtil.delete(conf, outPath);

    job.setInputFormatClass(TextInputFormat.class);
    job.setMapperClass(ParallelCountingMapper.class);
    job.setCombinerClass(ParallelCountingReducer.class);
    job.setReducerClass(ParallelCountingReducer.class);
    job.setOutputFormatClass(SequenceFileOutputFormat.class);

    boolean succeeded = job.waitForCompletion(true);
    if (!succeeded) {
        throw new IllegalStateException("Job failed!");
    }

}

---

From source file:com.cg.mapreduce.fpgrowth.mahout.fpm.PFPGrowth.java

License:Apache License

/**
 * Run the Parallel FPGrowth Map/Reduce Job to calculate the Top K features of group dependent shards
 *///  www  .j  a  v a 2 s .c  om
public static void startParallelFPGrowth(Parameters params, Configuration conf)
        throws IOException, InterruptedException, ClassNotFoundException {
    conf.set(PFP_PARAMETERS, params.toString());
    conf.set("mapred.compress.map.output", "true");
    conf.set("mapred.output.compression.type", "BLOCK");
    Path input = new Path(params.get(INPUT));
    Job job = new Job(conf, "PFP Growth Driver running over input" + input);
    job.setJarByClass(PFPGrowth.class);

    job.setMapOutputKeyClass(IntWritable.class);
    job.setMapOutputValueClass(TransactionTree.class);

    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(TopKStringPatterns.class);

    FileInputFormat.addInputPath(job, input);
    Path outPath = new Path(params.get(OUTPUT), FPGROWTH);
    FileOutputFormat.setOutputPath(job, outPath);

    HadoopUtil.delete(conf, outPath);

    job.setInputFormatClass(TextInputFormat.class);
    job.setMapperClass(ParallelFPGrowthMapper.class);
    job.setCombinerClass(ParallelFPGrowthCombiner.class);
    job.setReducerClass(ParallelFPGrowthReducer.class);
    job.setOutputFormatClass(SequenceFileOutputFormat.class);

    boolean succeeded = job.waitForCompletion(true);
    if (!succeeded) {
        throw new IllegalStateException("Job failed!");
    }
}

---

From source file:com.cg.mapreduce.myfpgrowth.PFPGrowth.java

License:Apache License

/**
 * Count the frequencies of various features in parallel using Map/Reduce
 *//*w ww .j a v  a  2  s.  c o  m*/
public static void startParallelCounting(Parameters params, Configuration conf)
        throws IOException, InterruptedException, ClassNotFoundException {
    conf.set(PFP_PARAMETERS, params.toString());
    conf.set("mapred.compress.map.output", "true");
    conf.set("mapred.output.compression.type", "BLOCK");

    String input = params.get(INPUT);
    Job job = new Job(conf, "Parallel Counting Driver running over input: " + input);
    job.setJarByClass(PFPGrowth.class);

    //    Job job = initJob(conf);  
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(LongWritable.class);

    FileInputFormat.addInputPath(job, new Path(input));
    Path outPath = new Path(params.get(OUTPUT), PARALLEL_COUNTING);
    FileOutputFormat.setOutputPath(job, outPath);

    HadoopUtil.delete(conf, outPath);

    job.setInputFormatClass(TextInputFormat.class);
    job.setMapperClass(ParallelCountingMapper.class);
    job.setCombinerClass(ParallelCountingReducer.class);
    job.setReducerClass(ParallelCountingReducer.class);
    job.setOutputFormatClass(SequenceFileOutputFormat.class);

    boolean succeeded = job.waitForCompletion(true);
    if (!succeeded) {
        throw new IllegalStateException("Job failed!");
    }

}

---

• «
• 1
• 2
• 3
• 4
• 5
• 6
• 7
• 8
• 9
• 10
• 11
• 12
• 13
• 14
• 15
• 16
• 17
• 18
• 19
• 20
• 21
• 22
• 23
• 24
• 25
• 26
• 27
• 28
• 29
• 30
• 31
• 32
• 33
• 34
• 35
• 36
• 37
• 38
• 39
• 40
• 41
• 42
• 43
• 44
• 45
• 46
• 47
• 48
• 49
• 50
• »