Example usage for org.apache.hadoop.mapred JobConf setNumReduceTasks

List of usage examples for org.apache.hadoop.mapred JobConf setNumReduceTasks

Introduction

In this page you can find the example usage for org.apache.hadoop.mapred JobConf setNumReduceTasks.

Prototype

public void setNumReduceTasks(int n) 

Source Link

Document

Set the requisite number of reduce tasks for this job.

Usage

From source file:org.apache.pig.test.pigmix.mapreduce.L16.java

License:Apache License

public static void main(String[] args) throws IOException {

    if (args.length != 3) {
        System.out.println("Parameters: inputDir outputDir parallel");
        System.exit(1);/*from w w w.  java2 s.co  m*/
    }
    String inputDir = args[0];
    String outputDir = args[1];
    String parallel = args[2];
    JobConf lp = new JobConf(L16.class);
    lp.setJobName("L16 Load Page Views");
    lp.setInputFormat(TextInputFormat.class);
    lp.setOutputKeyClass(Text.class);
    lp.setOutputValueClass(Text.class);
    lp.setMapperClass(ReadPageViews.class);
    lp.setReducerClass(Group.class);
    Properties props = System.getProperties();
    for (Map.Entry<Object, Object> entry : props.entrySet()) {
        lp.set((String) entry.getKey(), (String) entry.getValue());
    }
    FileInputFormat.addInputPath(lp, new Path(inputDir + "/page_views"));
    FileOutputFormat.setOutputPath(lp, new Path(outputDir + "/L16out"));
    lp.setNumReduceTasks(Integer.parseInt(parallel));
    Job group = new Job(lp);

    JobControl jc = new JobControl("L16 join");
    jc.addJob(group);

    new Thread(jc).start();

    int i = 0;
    while (!jc.allFinished()) {
        ArrayList<Job> failures = jc.getFailedJobs();
        if (failures != null && failures.size() > 0) {
            for (Job failure : failures) {
                System.err.println(failure.getMessage());
            }
            break;
        }

        try {
            Thread.sleep(5000);
        } catch (InterruptedException e) {
        }

        if (i % 10000 == 0) {
            System.out.println("Running jobs");
            ArrayList<Job> running = jc.getRunningJobs();
            if (running != null && running.size() > 0) {
                for (Job r : running) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Ready jobs");
            ArrayList<Job> ready = jc.getReadyJobs();
            if (ready != null && ready.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Waiting jobs");
            ArrayList<Job> waiting = jc.getWaitingJobs();
            if (waiting != null && waiting.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Successful jobs");
            ArrayList<Job> success = jc.getSuccessfulJobs();
            if (success != null && success.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
        }
        i++;
    }
    ArrayList<Job> failures = jc.getFailedJobs();
    if (failures != null && failures.size() > 0) {
        for (Job failure : failures) {
            System.err.println(failure.getMessage());
        }
    }
    jc.stop();
}

From source file:org.apache.pig.test.pigmix.mapreduce.L17.java

License:Apache License

public static void main(String[] args) throws IOException {

    if (args.length != 3) {
        System.out.println("Parameters: inputDir outputDir parallel");
        System.exit(1);/*from ww  w .ja v  a 2 s  . c  o m*/
    }
    String inputDir = args[0];
    String outputDir = args[1];
    String parallel = args[2];
    JobConf lp = new JobConf(L17.class);
    lp.setJobName("L17 Wide group by");
    lp.setInputFormat(TextInputFormat.class);
    lp.setOutputKeyClass(Text.class);
    lp.setOutputValueClass(Text.class);
    lp.setMapperClass(ReadPageViews.class);
    lp.setCombinerClass(Combiner.class);
    lp.setReducerClass(Group.class);
    Properties props = System.getProperties();
    for (Map.Entry<Object, Object> entry : props.entrySet()) {
        lp.set((String) entry.getKey(), (String) entry.getValue());
    }
    FileInputFormat.addInputPath(lp, new Path(inputDir + "/widegroupbydata"));
    FileOutputFormat.setOutputPath(lp, new Path(outputDir + "/L17out"));
    lp.setNumReduceTasks(Integer.parseInt(parallel));
    Job group = new Job(lp);

    JobControl jc = new JobControl("L17 group by");
    jc.addJob(group);

    new Thread(jc).start();

    int i = 0;
    while (!jc.allFinished()) {
        ArrayList<Job> failures = jc.getFailedJobs();
        if (failures != null && failures.size() > 0) {
            for (Job failure : failures) {
                System.err.println(failure.getMessage());
            }
            break;
        }

        try {
            Thread.sleep(5000);
        } catch (InterruptedException e) {
        }

        if (i % 10000 == 0) {
            System.out.println("Running jobs");
            ArrayList<Job> running = jc.getRunningJobs();
            if (running != null && running.size() > 0) {
                for (Job r : running) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Ready jobs");
            ArrayList<Job> ready = jc.getReadyJobs();
            if (ready != null && ready.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Waiting jobs");
            ArrayList<Job> waiting = jc.getWaitingJobs();
            if (waiting != null && waiting.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Successful jobs");
            ArrayList<Job> success = jc.getSuccessfulJobs();
            if (success != null && success.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
        }
        i++;
    }
    ArrayList<Job> failures = jc.getFailedJobs();
    if (failures != null && failures.size() > 0) {
        for (Job failure : failures) {
            System.err.println(failure.getMessage());
        }
    }
    jc.stop();
}

From source file:org.apache.pig.test.pigmix.mapreduce.L2.java

License:Apache License

public static void main(String[] args) throws IOException, URISyntaxException {

    if (args.length != 3) {
        System.out.println("Parameters: inputDir outputDir parallel");
        System.exit(1);//from   w  w  w.  j  a  v  a  2  s.  com
    }
    String inputDir = args[0];
    String outputDir = args[1];
    JobConf lp = new JobConf(L2.class);
    lp.setJobName("L2 Load Page Views");
    lp.setInputFormat(TextInputFormat.class);
    lp.setOutputKeyClass(Text.class);
    lp.setOutputValueClass(Text.class);
    lp.setMapperClass(Join.class);
    Properties props = System.getProperties();
    for (Map.Entry<Object, Object> entry : props.entrySet()) {
        lp.set((String) entry.getKey(), (String) entry.getValue());
    }
    DistributedCache.addCacheFile(new URI(inputDir + "/power_users"), lp);
    FileInputFormat.addInputPath(lp, new Path(inputDir + "/page_views"));
    FileOutputFormat.setOutputPath(lp, new Path(outputDir + "/L2out"));
    lp.setNumReduceTasks(0);
    Job loadPages = new Job(lp);

    JobControl jc = new JobControl("L2 join");
    jc.addJob(loadPages);

    new Thread(jc).start();

    int i = 0;
    while (!jc.allFinished()) {
        ArrayList<Job> failures = jc.getFailedJobs();
        if (failures != null && failures.size() > 0) {
            for (Job failure : failures) {
                System.err.println(failure.getMessage());
            }
            break;
        }

        try {
            Thread.sleep(5000);
        } catch (InterruptedException e) {
        }

        if (i % 10000 == 0) {
            System.out.println("Running jobs");
            ArrayList<Job> running = jc.getRunningJobs();
            if (running != null && running.size() > 0) {
                for (Job r : running) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Ready jobs");
            ArrayList<Job> ready = jc.getReadyJobs();
            if (ready != null && ready.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Waiting jobs");
            ArrayList<Job> waiting = jc.getWaitingJobs();
            if (waiting != null && waiting.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Successful jobs");
            ArrayList<Job> success = jc.getSuccessfulJobs();
            if (success != null && success.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
        }
        i++;
    }
    ArrayList<Job> failures = jc.getFailedJobs();
    if (failures != null && failures.size() > 0) {
        for (Job failure : failures) {
            System.err.println(failure.getMessage());
        }
    }
    jc.stop();
}

From source file:org.apache.pig.test.pigmix.mapreduce.L3.java

License:Apache License

public static void main(String[] args) throws IOException {

    if (args.length != 3) {
        System.out.println("Parameters: inputDir outputDir parallel");
        System.exit(1);//  w  w w  . ja  v  a 2 s. c om
    }
    String inputDir = args[0];
    String outputDir = args[1];
    String parallel = args[2];
    JobConf lp = new JobConf(L3.class);
    lp.setJobName("L3 Load Page Views");
    lp.setInputFormat(TextInputFormat.class);
    lp.setOutputKeyClass(Text.class);
    lp.setOutputValueClass(Text.class);
    lp.setMapperClass(ReadPageViews.class);
    Properties props = System.getProperties();
    for (Map.Entry<Object, Object> entry : props.entrySet()) {
        lp.set((String) entry.getKey(), (String) entry.getValue());
    }
    FileInputFormat.addInputPath(lp, new Path(inputDir + "/page_views"));
    FileOutputFormat.setOutputPath(lp, new Path(outputDir + "/indexed_pages_3"));
    lp.setNumReduceTasks(0);
    Job loadPages = new Job(lp);

    JobConf lu = new JobConf(L3.class);
    lu.setJobName("L3 Load Users");
    lu.setInputFormat(TextInputFormat.class);
    lu.setOutputKeyClass(Text.class);
    lu.setOutputValueClass(Text.class);
    lu.setMapperClass(ReadUsers.class);
    props = System.getProperties();
    for (Map.Entry<Object, Object> entry : props.entrySet()) {
        lu.set((String) entry.getKey(), (String) entry.getValue());
    }
    FileInputFormat.addInputPath(lu, new Path(inputDir + "/users"));
    FileOutputFormat.setOutputPath(lu, new Path(outputDir + "/indexed_users_3"));
    lu.setNumReduceTasks(0);
    Job loadUsers = new Job(lu);

    JobConf join = new JobConf(L3.class);
    join.setJobName("L3 Join Users and Pages");
    join.setInputFormat(KeyValueTextInputFormat.class);
    join.setOutputKeyClass(Text.class);
    join.setOutputValueClass(Text.class);
    join.setMapperClass(IdentityMapper.class);
    join.setReducerClass(Join.class);
    props = System.getProperties();
    for (Map.Entry<Object, Object> entry : props.entrySet()) {
        join.set((String) entry.getKey(), (String) entry.getValue());
    }
    FileInputFormat.addInputPath(join, new Path(outputDir + "/indexed_pages_3"));
    FileInputFormat.addInputPath(join, new Path(outputDir + "/indexed_users_3"));
    FileOutputFormat.setOutputPath(join, new Path(outputDir + "/L3out"));
    join.setNumReduceTasks(Integer.parseInt(parallel));
    Job joinJob = new Job(join);
    joinJob.addDependingJob(loadPages);
    joinJob.addDependingJob(loadUsers);

    JobControl jc = new JobControl("L3 join");
    jc.addJob(loadPages);
    jc.addJob(loadUsers);
    jc.addJob(joinJob);

    new Thread(jc).start();

    int i = 0;
    while (!jc.allFinished()) {
        ArrayList<Job> failures = jc.getFailedJobs();
        if (failures != null && failures.size() > 0) {
            for (Job failure : failures) {
                System.err.println(failure.getMessage());
            }
            break;
        }

        try {
            Thread.sleep(5000);
        } catch (InterruptedException e) {
        }

        if (i % 10000 == 0) {
            System.out.println("Running jobs");
            ArrayList<Job> running = jc.getRunningJobs();
            if (running != null && running.size() > 0) {
                for (Job r : running) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Ready jobs");
            ArrayList<Job> ready = jc.getReadyJobs();
            if (ready != null && ready.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Waiting jobs");
            ArrayList<Job> waiting = jc.getWaitingJobs();
            if (waiting != null && waiting.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Successful jobs");
            ArrayList<Job> success = jc.getSuccessfulJobs();
            if (success != null && success.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
        }
        i++;
    }
    ArrayList<Job> failures = jc.getFailedJobs();
    if (failures != null && failures.size() > 0) {
        for (Job failure : failures) {
            System.err.println(failure.getMessage());
        }
    }
    jc.stop();
}

From source file:org.apache.pig.test.pigmix.mapreduce.L4.java

License:Apache License

public static void main(String[] args) throws IOException {

    if (args.length != 3) {
        System.out.println("Parameters: inputDir outputDir parallel");
        System.exit(1);//from   w  ww  . j a va 2  s.c  o m
    }
    String inputDir = args[0];
    String outputDir = args[1];
    String parallel = args[2];
    JobConf lp = new JobConf(L4.class);
    lp.setJobName("L4 Load Page Views");
    lp.setInputFormat(TextInputFormat.class);
    lp.setOutputKeyClass(Text.class);
    lp.setOutputValueClass(Text.class);
    lp.setMapperClass(ReadPageViews.class);
    lp.setCombinerClass(Combiner.class);
    lp.setReducerClass(Group.class);
    Properties props = System.getProperties();
    for (Map.Entry<Object, Object> entry : props.entrySet()) {
        lp.set((String) entry.getKey(), (String) entry.getValue());
    }
    FileInputFormat.addInputPath(lp, new Path(inputDir + "/page_views"));
    FileOutputFormat.setOutputPath(lp, new Path(outputDir + "/L4out"));
    lp.setNumReduceTasks(Integer.parseInt(parallel));
    Job group = new Job(lp);

    JobControl jc = new JobControl("L4 join");
    jc.addJob(group);

    new Thread(jc).start();

    int i = 0;
    while (!jc.allFinished()) {
        ArrayList<Job> failures = jc.getFailedJobs();
        if (failures != null && failures.size() > 0) {
            for (Job failure : failures) {
                System.err.println(failure.getMessage());
            }
            break;
        }

        try {
            Thread.sleep(5000);
        } catch (InterruptedException e) {
        }

        if (i % 10000 == 0) {
            System.out.println("Running jobs");
            ArrayList<Job> running = jc.getRunningJobs();
            if (running != null && running.size() > 0) {
                for (Job r : running) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Ready jobs");
            ArrayList<Job> ready = jc.getReadyJobs();
            if (ready != null && ready.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Waiting jobs");
            ArrayList<Job> waiting = jc.getWaitingJobs();
            if (waiting != null && waiting.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Successful jobs");
            ArrayList<Job> success = jc.getSuccessfulJobs();
            if (success != null && success.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
        }
        i++;
    }
    ArrayList<Job> failures = jc.getFailedJobs();
    if (failures != null && failures.size() > 0) {
        for (Job failure : failures) {
            System.err.println(failure.getMessage());
        }
    }
    jc.stop();
}

From source file:org.apache.pig.test.pigmix.mapreduce.L5.java

License:Apache License

public static void main(String[] args) throws IOException {

    if (args.length != 3) {
        System.out.println("Parameters: inputDir outputDir parallel");
        System.exit(1);// w ww . j  a va  2  s .c o m
    }
    String inputDir = args[0];
    String outputDir = args[1];
    String parallel = args[2];
    String user = System.getProperty("user.name");
    JobConf lp = new JobConf(L5.class);
    lp.setJobName("L5 Load Page Views");
    lp.setInputFormat(TextInputFormat.class);
    lp.setOutputKeyClass(Text.class);
    lp.setOutputValueClass(Text.class);
    lp.setMapperClass(ReadPageViews.class);
    Properties props = System.getProperties();
    for (Map.Entry<Object, Object> entry : props.entrySet()) {
        lp.set((String) entry.getKey(), (String) entry.getValue());
    }
    FileInputFormat.addInputPath(lp, new Path(inputDir + "/page_views"));
    FileOutputFormat.setOutputPath(lp, new Path(outputDir + "/indexed_pages_5"));
    lp.setNumReduceTasks(0);
    Job loadPages = new Job(lp);

    JobConf lu = new JobConf(L5.class);
    lu.setJobName("L5 Load Users");
    lu.setInputFormat(TextInputFormat.class);
    lu.setOutputKeyClass(Text.class);
    lu.setOutputValueClass(Text.class);
    lu.setMapperClass(ReadUsers.class);
    props = System.getProperties();
    for (Map.Entry<Object, Object> entry : props.entrySet()) {
        lu.set((String) entry.getKey(), (String) entry.getValue());
    }
    FileInputFormat.addInputPath(lu, new Path(inputDir + "/users"));
    FileOutputFormat.setOutputPath(lu, new Path(outputDir + "/indexed_users_5"));
    lu.setNumReduceTasks(0);
    Job loadUsers = new Job(lu);

    JobConf join = new JobConf(L5.class);
    join.setJobName("L5 Join Users and Pages");
    join.setInputFormat(KeyValueTextInputFormat.class);
    join.setOutputKeyClass(Text.class);
    join.setOutputValueClass(Text.class);
    join.setMapperClass(IdentityMapper.class);
    join.setReducerClass(Join.class);
    props = System.getProperties();
    for (Map.Entry<Object, Object> entry : props.entrySet()) {
        join.set((String) entry.getKey(), (String) entry.getValue());
    }
    FileInputFormat.addInputPath(join, new Path(outputDir + "/indexed_pages_5"));
    FileInputFormat.addInputPath(join, new Path(outputDir + "/indexed_users_5"));
    FileOutputFormat.setOutputPath(join, new Path(outputDir + "/L5out"));
    join.setNumReduceTasks(Integer.parseInt(parallel));
    Job joinJob = new Job(join);
    joinJob.addDependingJob(loadPages);
    joinJob.addDependingJob(loadUsers);

    JobControl jc = new JobControl("L5 join");
    jc.addJob(loadPages);
    jc.addJob(loadUsers);
    jc.addJob(joinJob);

    new Thread(jc).start();

    int i = 0;
    while (!jc.allFinished()) {
        ArrayList<Job> failures = jc.getFailedJobs();
        if (failures != null && failures.size() > 0) {
            for (Job failure : failures) {
                System.err.println(failure.getMessage());
            }
            break;
        }

        try {
            Thread.sleep(5000);
        } catch (InterruptedException e) {
        }

        if (i % 10000 == 0) {
            System.out.println("Running jobs");
            ArrayList<Job> running = jc.getRunningJobs();
            if (running != null && running.size() > 0) {
                for (Job r : running) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Ready jobs");
            ArrayList<Job> ready = jc.getReadyJobs();
            if (ready != null && ready.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Waiting jobs");
            ArrayList<Job> waiting = jc.getWaitingJobs();
            if (waiting != null && waiting.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Successful jobs");
            ArrayList<Job> success = jc.getSuccessfulJobs();
            if (success != null && success.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
        }
        i++;
    }
    ArrayList<Job> failures = jc.getFailedJobs();
    if (failures != null && failures.size() > 0) {
        for (Job failure : failures) {
            System.err.println(failure.getMessage());
        }
    }
    jc.stop();
}

From source file:org.apache.pig.test.pigmix.mapreduce.L6.java

License:Apache License

public static void main(String[] args) throws IOException {

    if (args.length != 3) {
        System.out.println("Parameters: inputDir outputDir parallel");
        System.exit(1);//from w ww  . j a va  2  s .  c o  m
    }
    String inputDir = args[0];
    String outputDir = args[1];
    String parallel = args[2];
    JobConf lp = new JobConf(L6.class);
    lp.setJobName("L6 Load Page Views");
    lp.setInputFormat(TextInputFormat.class);
    lp.setOutputKeyClass(Text.class);
    lp.setOutputValueClass(IntWritable.class);
    lp.setMapperClass(ReadPageViews.class);
    lp.setCombinerClass(Group.class);
    lp.setReducerClass(Group.class);
    Properties props = System.getProperties();
    for (Map.Entry<Object, Object> entry : props.entrySet()) {
        lp.set((String) entry.getKey(), (String) entry.getValue());
    }
    FileInputFormat.addInputPath(lp, new Path(inputDir + "/page_views"));
    FileOutputFormat.setOutputPath(lp, new Path(outputDir + "/L6out"));
    lp.setNumReduceTasks(Integer.parseInt(parallel));
    Job group = new Job(lp);

    JobControl jc = new JobControl("L6 join");
    jc.addJob(group);

    new Thread(jc).start();

    int i = 0;
    while (!jc.allFinished()) {
        ArrayList<Job> failures = jc.getFailedJobs();
        if (failures != null && failures.size() > 0) {
            for (Job failure : failures) {
                System.err.println(failure.getMessage());
            }
            break;
        }

        try {
            Thread.sleep(5000);
        } catch (InterruptedException e) {
        }

        if (i % 10000 == 0) {
            System.out.println("Running jobs");
            ArrayList<Job> running = jc.getRunningJobs();
            if (running != null && running.size() > 0) {
                for (Job r : running) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Ready jobs");
            ArrayList<Job> ready = jc.getReadyJobs();
            if (ready != null && ready.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Waiting jobs");
            ArrayList<Job> waiting = jc.getWaitingJobs();
            if (waiting != null && waiting.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Successful jobs");
            ArrayList<Job> success = jc.getSuccessfulJobs();
            if (success != null && success.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
        }
        i++;
    }
    ArrayList<Job> failures = jc.getFailedJobs();
    if (failures != null && failures.size() > 0) {
        for (Job failure : failures) {
            System.err.println(failure.getMessage());
        }
    }
    jc.stop();
}

From source file:org.apache.pig.test.pigmix.mapreduce.L7.java

License:Apache License

public static void main(String[] args) throws IOException {

    if (args.length != 3) {
        System.out.println("Parameters: inputDir outputDir parallel");
        System.exit(1);/*  w  ww . j a v a  2 s  . co  m*/
    }
    String inputDir = args[0];
    String outputDir = args[1];
    String parallel = args[2];
    JobConf lp = new JobConf(L7.class);
    lp.setJobName("L7 Load Page Views");
    lp.setInputFormat(TextInputFormat.class);
    lp.setOutputKeyClass(Text.class);
    lp.setOutputValueClass(Text.class);
    lp.setMapperClass(ReadPageViews.class);
    lp.setCombinerClass(Combiner.class);
    lp.setReducerClass(Group.class);
    Properties props = System.getProperties();
    for (Map.Entry<Object, Object> entry : props.entrySet()) {
        lp.set((String) entry.getKey(), (String) entry.getValue());
    }
    FileInputFormat.addInputPath(lp, new Path(inputDir + "/page_views"));
    FileOutputFormat.setOutputPath(lp, new Path(outputDir + "/L7out"));
    lp.setNumReduceTasks(Integer.parseInt(parallel));
    Job group = new Job(lp);

    JobControl jc = new JobControl("L7 join");
    jc.addJob(group);

    new Thread(jc).start();

    int i = 0;
    while (!jc.allFinished()) {
        ArrayList<Job> failures = jc.getFailedJobs();
        if (failures != null && failures.size() > 0) {
            for (Job failure : failures) {
                System.err.println(failure.getMessage());
            }
            break;
        }

        try {
            Thread.sleep(5000);
        } catch (InterruptedException e) {
        }

        if (i % 10000 == 0) {
            System.out.println("Running jobs");
            ArrayList<Job> running = jc.getRunningJobs();
            if (running != null && running.size() > 0) {
                for (Job r : running) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Ready jobs");
            ArrayList<Job> ready = jc.getReadyJobs();
            if (ready != null && ready.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Waiting jobs");
            ArrayList<Job> waiting = jc.getWaitingJobs();
            if (waiting != null && waiting.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Successful jobs");
            ArrayList<Job> success = jc.getSuccessfulJobs();
            if (success != null && success.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
        }
        i++;
    }
    ArrayList<Job> failures = jc.getFailedJobs();
    if (failures != null && failures.size() > 0) {
        for (Job failure : failures) {
            System.err.println(failure.getMessage());
        }
    }
    jc.stop();
}

From source file:org.apache.pig.test.pigmix.mapreduce.L8.java

License:Apache License

public static void main(String[] args) throws IOException {

    if (args.length != 3) {
        System.out.println("Parameters: inputDir outputDir parallel");
        System.exit(1);//w w w. j  av  a2s  .  co m
    }
    String inputDir = args[0];
    String outputDir = args[1];
    String parallel = args[2];
    JobConf lp = new JobConf(L8.class);
    lp.setJobName("L8 Load Page Views");
    lp.setInputFormat(TextInputFormat.class);
    lp.setOutputKeyClass(Text.class);
    lp.setOutputValueClass(Text.class);
    lp.setMapperClass(ReadPageViews.class);
    lp.setCombinerClass(Combiner.class);
    lp.setReducerClass(Group.class);
    Properties props = System.getProperties();
    for (Map.Entry<Object, Object> entry : props.entrySet()) {
        lp.set((String) entry.getKey(), (String) entry.getValue());
    }
    FileInputFormat.addInputPath(lp, new Path(inputDir + "/page_views"));
    FileOutputFormat.setOutputPath(lp, new Path(outputDir + "/L8out"));
    lp.setNumReduceTasks(1);
    Job group = new Job(lp);

    JobControl jc = new JobControl("L8 join");
    jc.addJob(group);

    new Thread(jc).start();

    int i = 0;
    while (!jc.allFinished()) {
        ArrayList<Job> failures = jc.getFailedJobs();
        if (failures != null && failures.size() > 0) {
            for (Job failure : failures) {
                System.err.println(failure.getMessage());
            }
            break;
        }

        try {
            Thread.sleep(5000);
        } catch (InterruptedException e) {
        }

        if (i % 10000 == 0) {
            System.out.println("Running jobs");
            ArrayList<Job> running = jc.getRunningJobs();
            if (running != null && running.size() > 0) {
                for (Job r : running) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Ready jobs");
            ArrayList<Job> ready = jc.getReadyJobs();
            if (ready != null && ready.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Waiting jobs");
            ArrayList<Job> waiting = jc.getWaitingJobs();
            if (waiting != null && waiting.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Successful jobs");
            ArrayList<Job> success = jc.getSuccessfulJobs();
            if (success != null && success.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
        }
        i++;
    }
    ArrayList<Job> failures = jc.getFailedJobs();
    if (failures != null && failures.size() > 0) {
        for (Job failure : failures) {
            System.err.println(failure.getMessage());
        }
    }
    jc.stop();
}

From source file:org.apache.pig.test.pigmix.mapreduce.L9.java

License:Apache License

public static void main(String[] args) throws IOException {

    if (args.length != 3) {
        System.out.println("Parameters: inputDir outputDir parallel");
        System.exit(1);//from ww w.  j a  va2  s. co  m
    }
    String inputDir = args[0];
    String outputDir = args[1];
    String parallel = args[2];
    JobConf lp = new JobConf(L9.class);
    lp.setJobName("L9 Load Page Views");
    lp.setInputFormat(TextInputFormat.class);
    lp.setOutputKeyClass(Text.class);
    lp.setOutputValueClass(Text.class);
    lp.setMapperClass(ReadPageViews.class);
    lp.setReducerClass(Group.class);
    lp.setPartitionerClass(MyPartitioner.class);
    Properties props = System.getProperties();
    for (Map.Entry<Object, Object> entry : props.entrySet()) {
        lp.set((String) entry.getKey(), (String) entry.getValue());
    }
    FileInputFormat.addInputPath(lp, new Path(inputDir + "/page_views"));
    FileOutputFormat.setOutputPath(lp, new Path(outputDir + "/L9out"));
    // Hardcode the parallel to 40 since MyPartitioner assumes it
    lp.setNumReduceTasks(40);
    Job group = new Job(lp);

    JobControl jc = new JobControl("L9 join");
    jc.addJob(group);

    new Thread(jc).start();

    int i = 0;
    while (!jc.allFinished()) {
        ArrayList<Job> failures = jc.getFailedJobs();
        if (failures != null && failures.size() > 0) {
            for (Job failure : failures) {
                System.err.println(failure.getMessage());
            }
            break;
        }

        try {
            Thread.sleep(5000);
        } catch (InterruptedException e) {
        }

        if (i % 10000 == 0) {
            System.out.println("Running jobs");
            ArrayList<Job> running = jc.getRunningJobs();
            if (running != null && running.size() > 0) {
                for (Job r : running) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Ready jobs");
            ArrayList<Job> ready = jc.getReadyJobs();
            if (ready != null && ready.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Waiting jobs");
            ArrayList<Job> waiting = jc.getWaitingJobs();
            if (waiting != null && waiting.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
            System.out.println("Successful jobs");
            ArrayList<Job> success = jc.getSuccessfulJobs();
            if (success != null && success.size() > 0) {
                for (Job r : ready) {
                    System.out.println(r.getJobName());
                }
            }
        }
        i++;
    }
    ArrayList<Job> failures = jc.getFailedJobs();
    if (failures != null && failures.size() > 0) {
        for (Job failure : failures) {
            System.err.println(failure.getMessage());
        }
    }
    jc.stop();
}