Examples of org.apache.hadoop.mapred.jobcontrol.Job

Package org.apache.hadoop.mapred.jobcontrol

Examples of org.apache.hadoop.mapred.jobcontrol.Job

org.apache.hadoop.mapred.jobcontrol.Job
This class encapsulates a MapReduce job and its dependency. It monitors the states of the depending jobs and updates the state of this job. A job starts in the WAITING state. If it does not have any depending jobs, or all of the depending jobs are in SUCCESS state, then the job state will become READY. If any depending jobs fail, the job will fail too. When in READY state, the job can be submitted to Hadoop for execution, with the state changing into RUNNING state. From RUNNING state, the job can get into SUCCESS or FAILED state, depending the status of the job execution.

        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);
    }

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                    if (notifyProgress(prog, lastProg)) {
                        List<Job> runnJobs = jc.getRunningJobs();
                        if (runnJobs != null) {
                            StringBuilder msg = new StringBuilder();
                            for (Object object : runnJobs) {
                                Job j = (Job) object;
                                if (j != null) {
                                    msg.append(j.getAssignedJobID()).append(",");
                                }
                            }
                            if (msg.length() > 0) {
                                msg.setCharAt(msg.length() - 1, ']');
                                log.info("Running jobs are [" + msg);

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        if (stop_on_failure){
            int errCode = 6017;
            StringBuilder msg = new StringBuilder();


            for (int i=0; i<jc.getFailedJobs().size(); i++) {
                Job j = jc.getFailedJobs().get(i);
                msg.append("JobID: " + j.getAssignedJobID() + " Reason: " + j.getMessage());
                if (i!=jc.getFailedJobs().size()-1) {
                    msg.append("\n");
                }
            }

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            lp.set((String)entry.getKey(), (String)entry.getValue());
        }
        FileInputFormat.addInputPath(lp, new Path(inputDir + "/page_views"));
        FileOutputFormat.setOutputPath(lp, new Path(outputDir + "/indexed_left_pages"));
        lp.setNumReduceTasks(0);
        Job loadPages = new Job(lp);


        JobConf lu = new JobConf(L13.class);
        lu.setJobName("L13 Load Right Page Views");
        lu.setInputFormat(TextInputFormat.class);
        lu.setOutputKeyClass(Text.class);
        lu.setOutputValueClass(Text.class);
        lu.setMapperClass(ReadRightPageViews.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 + "/power_users_samples"));
        FileOutputFormat.setOutputPath(lu, new Path(outputDir + "/indexed_right_pages"));
        lu.setNumReduceTasks(0);
        Job loadUsers = new Job(lu);


        JobConf join = new JobConf(L13.class);
        join.setJobName("L13 Join Two 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_left_pages"));
        FileInputFormat.addInputPath(join, new Path(outputDir + "/indexed_right_pages"));
        FileOutputFormat.setOutputPath(join, new Path(outputDir + "/L13out"));
        join.setNumReduceTasks(Integer.parseInt(parallel));
        Job joinJob = new Job(join);
        joinJob.addDependingJob(loadPages);
        joinJob.addDependingJob(loadUsers);


        JobControl jc = new JobControl("L13 join");
        jc.addJob(loadPages);
        jc.addJob(loadUsers);
        jc.addJob(joinJob);

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        }
        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();

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        }
        FileInputFormat.addInputPath(lp, new Path(inputDir + "/page_views"));
        FileOutputFormat.setOutputPath(lp, new Path(outputDir + "/L10out"));
        // Hardcode the parallel to 40 since MyPartitioner assumes it
        lp.setNumReduceTasks(40);
        Job group = new Job(lp);


        JobControl jc = new JobControl("L10 join");
        jc.addJob(group);


        new Thread(jc).start();

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            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();

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        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(100, parallel);
        Util.assertParallelValues(100, -1, -1, 100, job.getJobConf());


        pc.defaultParallel = -1;
    }

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        pc.getConf().setProperty(HConstants.ZOOKEEPER_CLIENT_PORT, Integer.toString(clientPort));
        ConfigurationValidator.validatePigProperties(pc.getProperties());
        conf = ConfigurationUtil.toConfiguration(pc.getProperties());
        JobControlCompiler jcc = new JobControlCompiler(pc, conf);
        JobControl jc=jcc.compile(mrPlan, "Test");
        Job job = jc.getWaitingJobs().get(0);
        long reducer=Math.min((long)Math.ceil(new File("test/org/apache/pig/test/data/passwd").length()/100.0), 10);


        Util.assertParallelValues(-1, -1, reducer, reducer, job.getJobConf());


        // use the PARALLEL key word, it will override the estimated reducer number
        query = "a = load '/passwd';" +
                "b = group a by $0 PARALLEL 2;" +
                "store b into 'output';";
        pp = Util.buildPp(ps, query);
        mrPlan = Util.buildMRPlan(pp, pc);


        pc.getConf().setProperty("pig.exec.reducers.bytes.per.reducer", "100");
        pc.getConf().setProperty("pig.exec.reducers.max", "10");
        ConfigurationValidator.validatePigProperties(pc.getProperties());
        conf = ConfigurationUtil.toConfiguration(pc.getProperties());
        jcc = new JobControlCompiler(pc, conf);
        jc=jcc.compile(mrPlan, "Test");
        job = jc.getWaitingJobs().get(0);


        Util.assertParallelValues(-1, 2, -1, 2, job.getJobConf());


        final byte[] COLUMNFAMILY = Bytes.toBytes("pig");
        util.createTable(Bytes.toBytesBinary("test_table"), COLUMNFAMILY);


        // the estimation won't take effect when it apply to non-dfs or the files doesn't exist, such as hbase
        query = "a = load 'hbase://test_table' using org.apache.pig.backend.hadoop.hbase.HBaseStorage('c:f1 c:f2');" +
                "b = group a by $0 ;" +
                "store b into 'output';";
        pp = Util.buildPp(ps, query);
        mrPlan = Util.buildMRPlan(pp, pc);


        pc.getConf().setProperty("pig.exec.reducers.bytes.per.reducer", "100");
        pc.getConf().setProperty("pig.exec.reducers.max", "10");


        ConfigurationValidator.validatePigProperties(pc.getProperties());
        conf = ConfigurationUtil.toConfiguration(pc.getProperties());
        jcc = new JobControlCompiler(pc, conf);
        jc=jcc.compile(mrPlan, "Test");
        job = jc.getWaitingJobs().get(0);


        Util.assertParallelValues(-1, -1, -1, 1, job.getJobConf());


        util.deleteTable(Bytes.toBytesBinary("test_table"));
        // In HBase 0.90.1 and above we can use util.shutdownMiniHBaseCluster()
        // here instead.
        MiniHBaseCluster hbc = util.getHBaseCluster();

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        double prog = 0.0;
        prog += jc.getSuccessfulJobs().size();
        
        List runnJobs = jc.getRunningJobs();
        for (Object object : runnJobs) {
            Job j = (Job)object;
            prog += progressOfRunningJob(j, jobClient);
        }
        return prog;
    }

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