Example usage for org.apache.hadoop.mapred.jobcontrol JobControl getWaitingJobs

List of usage examples for org.apache.hadoop.mapred.jobcontrol JobControl getWaitingJobs

Introduction

In this page you can find the example usage for org.apache.hadoop.mapred.jobcontrol JobControl getWaitingJobs.

Prototype

public ArrayList<Job> getWaitingJobs() 

Source Link

Usage

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);/*  w  w  w.jav  a  2 s.  c  om*/
    }
    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.  j  a  va2s  .  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);/*  w ww  .  j a  va  2 s  .c om*/
    }
    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 .co  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  va2s . c om*/
    }
    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);//from w  w  w  . jav  a  2s  .  c o  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);/*from   w w w .jav a 2  s . c  o 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   w w  w.java2 s  .c o 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();
}

From source file:org.apache.pig.test.TestGroupConstParallel.java

License:Apache License

/**
 * Test parallelism for group by constant
 * @throws Throwable//from ww  w . j a v a2  s . c  o  m
 */
@Test
public void testGroupConstWithParallel() throws Throwable {
    PigContext pc = new PigContext(ExecType.MAPREDUCE, cluster.getProperties());
    pc.defaultParallel = 100;
    pc.connect();

    String query = "a = load 'input';\n" + "b = group a by 1;" + "store b into 'output';";
    PigServer pigServer = new PigServer(ExecType.MAPREDUCE, cluster.getProperties());
    PhysicalPlan pp = Util.buildPp(pigServer, query);

    MROperPlan mrPlan = Util.buildMRPlan(pp, pc);

    ConfigurationValidator.validatePigProperties(pc.getProperties());
    Configuration conf = ConfigurationUtil.toConfiguration(pc.getProperties());
    JobControlCompiler jcc = new JobControlCompiler(pc, conf);

    JobControl jobControl = jcc.compile(mrPlan, "Test");
    Job job = jobControl.getWaitingJobs().get(0);
    int parallel = job.getJobConf().getNumReduceTasks();

    assertEquals("parallism", 1, parallel);
}

From source file:org.apache.pig.test.TestGroupConstParallel.java

License:Apache License

/**
 *  Test parallelism for group by column
 * @throws Throwable/*from  ww w .  j  ava  2 s.  c  o  m*/
 */
@Test
public void testGroupNonConstWithParallel() throws Throwable {
    PigContext pc = new PigContext(ExecType.MAPREDUCE, cluster.getProperties());
    pc.defaultParallel = 100;
    pc.connect();

    PigServer pigServer = new PigServer(ExecType.MAPREDUCE, cluster.getProperties());
    String query = "a = load 'input';\n" + "b = group a by $0;" + "store b into 'output';";

    PhysicalPlan pp = Util.buildPp(pigServer, query);
    MROperPlan mrPlan = Util.buildMRPlan(pp, pc);

    ConfigurationValidator.validatePigProperties(pc.getProperties());
    Configuration conf = ConfigurationUtil.toConfiguration(pc.getProperties());
    JobControlCompiler jcc = new JobControlCompiler(pc, conf);

    JobControl jobControl = jcc.compile(mrPlan, "Test");
    Job job = jobControl.getWaitingJobs().get(0);
    int parallel = job.getJobConf().getNumReduceTasks();

    assertEquals("parallism", 100, parallel);
}