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

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

Introduction

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

Prototype

synchronized public String addJob(ControlledJob aJob) 

Source Link

Document

Add a new controlled job.

Usage

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  ww . j  a  va2s .  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);/* w  w  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();
}