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

List of usage examples for org.apache.hadoop.mapreduce Job submit

Introduction

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

Prototype

public void submit() throws IOException, InterruptedException, ClassNotFoundException 

Source Link

Document

Submit the job to the cluster and return immediately.

Usage

From source file:com.ikanow.infinit.e.core.mapreduce.HadoopJobRunner.java

License:Open Source License

@SuppressWarnings({ "unchecked", "rawtypes" })
private String runHadoopJob(CustomMapReduceJobPojo job, String tempJarLocation)
        throws IOException, SAXException, ParserConfigurationException {
    StringWriter xml = new StringWriter();
    createConfigXML(xml, job.jobtitle, job.inputCollection,
            getQueryOrProcessing(job.query, QuerySpec.INPUTFIELDS), job.isCustomTable, job.getOutputDatabase(),
            job._id.toString(), job.outputCollectionTemp, job.mapper, job.reducer, job.combiner,
            getQueryOrProcessing(job.query, QuerySpec.QUERY), job.communityIds, job.outputKey, job.outputValue,
            job.arguments);/*from  w  w  w  . j a v  a2 s  .  c  o  m*/

    ClassLoader savedClassLoader = Thread.currentThread().getContextClassLoader();

    URLClassLoader child = new URLClassLoader(new URL[] { new File(tempJarLocation).toURI().toURL() },
            savedClassLoader);
    Thread.currentThread().setContextClassLoader(child);

    // Now load the XML into a configuration object: 
    Configuration config = new Configuration();

    try {
        DocumentBuilderFactory dbFactory = DocumentBuilderFactory.newInstance();
        DocumentBuilder dBuilder = dbFactory.newDocumentBuilder();
        Document doc = dBuilder.parse(new ByteArrayInputStream(xml.toString().getBytes()));
        NodeList nList = doc.getElementsByTagName("property");

        for (int temp = 0; temp < nList.getLength(); temp++) {
            Node nNode = nList.item(temp);
            if (nNode.getNodeType() == Node.ELEMENT_NODE) {
                Element eElement = (Element) nNode;
                String name = getTagValue("name", eElement);
                String value = getTagValue("value", eElement);
                if ((null != name) && (null != value)) {
                    config.set(name, value);
                }
            }
        }
    } catch (Exception e) {
        throw new IOException(e.getMessage());
    }

    // Now run the JAR file
    try {

        config.setBoolean("mapred.used.genericoptionsparser", true); // (just stops an annoying warning from appearing)
        if (bLocalMode) {
            config.set("mapred.job.tracker", "local");
            config.set("fs.default.name", "local");
        } else {
            String trackerUrl = HadoopUtils.getXMLProperty(
                    prop_custom.getHadoopConfigPath() + "/hadoop/mapred-site.xml", "mapred.job.tracker");
            String fsUrl = HadoopUtils.getXMLProperty(
                    prop_custom.getHadoopConfigPath() + "/hadoop/core-site.xml", "fs.default.name");
            config.set("mapred.job.tracker", trackerUrl);
            config.set("fs.default.name", fsUrl);
        }

        Job hj = new Job(config);

        Class<?> classToLoad = Class.forName(job.mapper, true, child);
        hj.setJarByClass(classToLoad);
        hj.setInputFormatClass((Class<? extends InputFormat>) Class
                .forName("com.ikanow.infinit.e.data_model.custom.InfiniteMongoInputFormat", true, child));
        if ((null != job.exportToHdfs) && job.exportToHdfs) {
            hj.setOutputFormatClass((Class<? extends OutputFormat>) Class
                    .forName("org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat", true, child));
            Path outPath = this.ensureOutputDirectory(job);
            SequenceFileOutputFormat.setOutputPath(hj, outPath);
        } else { // normal case, stays in MongoDB
            hj.setOutputFormatClass((Class<? extends OutputFormat>) Class
                    .forName("com.mongodb.hadoop.MongoOutputFormat", true, child));
        }
        hj.setMapperClass((Class<? extends Mapper>) Class.forName(job.mapper, true, child));
        if ((null != job.reducer) && !job.reducer.equalsIgnoreCase("null")
                && !job.reducer.equalsIgnoreCase("none")) {
            hj.setReducerClass((Class<? extends Reducer>) Class.forName(job.reducer, true, child));
        } else {
            hj.setNumReduceTasks(0);
        }
        if ((null != job.combiner) && !job.combiner.equalsIgnoreCase("null")
                && !job.combiner.equalsIgnoreCase("none")) {
            hj.setCombinerClass((Class<? extends Reducer>) Class.forName(job.combiner, true, child));
        }
        hj.setOutputKeyClass(Class.forName(job.outputKey, true, child));
        hj.setOutputValueClass(Class.forName(job.outputValue, true, child));

        hj.setJobName(job.jobtitle);

        if (bLocalMode) {
            hj.waitForCompletion(false);
            return "local_done";
        } else {
            hj.submit();
            String jobId = hj.getJobID().toString();
            return jobId;
        }
    } catch (Exception e) {
        e.printStackTrace();
        Thread.currentThread().setContextClassLoader(savedClassLoader);
        return "Error: " + HarvestExceptionUtils.createExceptionMessage(e);
    } finally {
        Thread.currentThread().setContextClassLoader(savedClassLoader);
    }
}

From source file:com.ikanow.infinit.e.processing.custom.launcher.CustomHadoopTaskLauncher.java

License:Open Source License

@SuppressWarnings({ "unchecked", "rawtypes" })
public String runHadoopJob(CustomMapReduceJobPojo job, String tempJarLocation)
        throws IOException, SAXException, ParserConfigurationException {
    StringWriter xml = new StringWriter();
    String outputCollection = job.outputCollectionTemp;// (non-append mode) 
    if ((null != job.appendResults) && job.appendResults)
        outputCollection = job.outputCollection; // (append mode, write directly in....)
    else if (null != job.incrementalMode)
        job.incrementalMode = false; // (not allowed to be in incremental mode and not update mode)

    createConfigXML(xml, job.jobtitle, job.inputCollection,
            InfiniteHadoopUtils.getQueryOrProcessing(job.query, InfiniteHadoopUtils.QuerySpec.INPUTFIELDS),
            job.isCustomTable, job.getOutputDatabase(), job._id.toString(), outputCollection, job.mapper,
            job.reducer, job.combiner,/*w  w w  .  j a v a 2s.c o m*/
            InfiniteHadoopUtils.getQueryOrProcessing(job.query, InfiniteHadoopUtils.QuerySpec.QUERY),
            job.communityIds, job.outputKey, job.outputValue, job.arguments, job.incrementalMode,
            job.submitterID, job.selfMerge, job.outputCollection, job.appendResults);

    ClassLoader savedClassLoader = Thread.currentThread().getContextClassLoader();

    URLClassLoader child = new URLClassLoader(new URL[] { new File(tempJarLocation).toURI().toURL() },
            savedClassLoader);
    Thread.currentThread().setContextClassLoader(child);

    // Check version: for now, any infinit.e.data_model with an VersionTest class is acceptable
    boolean dataModelLoaded = true;
    try {
        URLClassLoader versionTest = new URLClassLoader(new URL[] { new File(tempJarLocation).toURI().toURL() },
                null);
        try {
            Class.forName("com.ikanow.infinit.e.data_model.custom.InfiniteMongoInputFormat", true, versionTest);
        } catch (ClassNotFoundException e2) {
            //(this is fine, will use the cached version)
            dataModelLoaded = false;
        }
        if (dataModelLoaded)
            Class.forName("com.ikanow.infinit.e.data_model.custom.InfiniteMongoVersionTest", true, versionTest);
    } catch (ClassNotFoundException e1) {
        throw new RuntimeException(
                "This JAR is compiled with too old a version of the data-model, please recompile with Jan 2014 (rc2) onwards");
    }

    // Now load the XML into a configuration object: 
    Configuration config = new Configuration();
    // Add the client configuration overrides:
    if (!bLocalMode) {
        String hadoopConfigPath = props_custom.getHadoopConfigPath() + "/hadoop/";
        config.addResource(new Path(hadoopConfigPath + "core-site.xml"));
        config.addResource(new Path(hadoopConfigPath + "mapred-site.xml"));
        config.addResource(new Path(hadoopConfigPath + "hadoop-site.xml"));
    } //TESTED

    try {
        DocumentBuilderFactory dbFactory = DocumentBuilderFactory.newInstance();
        DocumentBuilder dBuilder = dbFactory.newDocumentBuilder();
        Document doc = dBuilder.parse(new ByteArrayInputStream(xml.toString().getBytes()));
        NodeList nList = doc.getElementsByTagName("property");

        for (int temp = 0; temp < nList.getLength(); temp++) {
            Node nNode = nList.item(temp);
            if (nNode.getNodeType() == Node.ELEMENT_NODE) {
                Element eElement = (Element) nNode;
                String name = getTagValue("name", eElement);
                String value = getTagValue("value", eElement);
                if ((null != name) && (null != value)) {
                    config.set(name, value);
                }
            }
        }
    } catch (Exception e) {
        throw new IOException(e.getMessage());
    }

    // Some other config defaults:
    // (not sure if these are actually applied, or derived from the defaults - for some reason they don't appear in CDH's client config)
    config.set("mapred.map.tasks.speculative.execution", "false");
    config.set("mapred.reduce.tasks.speculative.execution", "false");
    // (default security is ignored here, have it set via HADOOP_TASKTRACKER_CONF in cloudera)

    // Now run the JAR file
    try {
        BasicDBObject advancedConfigurationDbo = null;
        try {
            advancedConfigurationDbo = (null != job.query)
                    ? ((BasicDBObject) com.mongodb.util.JSON.parse(job.query))
                    : (new BasicDBObject());
        } catch (Exception e) {
            advancedConfigurationDbo = new BasicDBObject();
        }
        boolean esMode = advancedConfigurationDbo.containsField("qt") && !job.isCustomTable;
        if (esMode && !job.inputCollection.equals("doc_metadata.metadata")) {
            throw new RuntimeException(
                    "Infinit.e Queries are only supported on doc_metadata - use MongoDB queries instead.");
        }

        config.setBoolean("mapred.used.genericoptionsparser", true); // (just stops an annoying warning from appearing)
        if (bLocalMode) { // local job tracker and FS mode
            config.set("mapred.job.tracker", "local");
            config.set("fs.default.name", "local");
        } else {
            if (bTestMode) { // run job tracker locally but FS mode remotely
                config.set("mapred.job.tracker", "local");
            } else { // normal job tracker
                String trackerUrl = HadoopUtils.getXMLProperty(
                        props_custom.getHadoopConfigPath() + "/hadoop/mapred-site.xml", "mapred.job.tracker");
                config.set("mapred.job.tracker", trackerUrl);
            }
            String fsUrl = HadoopUtils.getXMLProperty(
                    props_custom.getHadoopConfigPath() + "/hadoop/core-site.xml", "fs.default.name");
            config.set("fs.default.name", fsUrl);
        }
        if (!dataModelLoaded && !(bTestMode || bLocalMode)) { // If running distributed and no data model loaded then add ourselves
            Path jarToCache = InfiniteHadoopUtils.cacheLocalFile("/opt/infinite-home/lib/",
                    "infinit.e.data_model.jar", config);
            DistributedCache.addFileToClassPath(jarToCache, config);
            jarToCache = InfiniteHadoopUtils.cacheLocalFile("/opt/infinite-home/lib/",
                    "infinit.e.processing.custom.library.jar", config);
            DistributedCache.addFileToClassPath(jarToCache, config);
        } //TESTED

        // Debug scripts (only if they exist), and only in non local/test mode
        if (!bLocalMode && !bTestMode) {

            try {
                Path scriptToCache = InfiniteHadoopUtils.cacheLocalFile("/opt/infinite-home/scripts/",
                        "custom_map_error_handler.sh", config);
                config.set("mapred.map.task.debug.script", "custom_map_error_handler.sh " + job.jobtitle);
                config.set("mapreduce.map.debug.script", "custom_map_error_handler.sh " + job.jobtitle);
                DistributedCache.createSymlink(config);
                DistributedCache.addCacheFile(scriptToCache.toUri(), config);
            } catch (Exception e) {
            } // just carry on

            try {
                Path scriptToCache = InfiniteHadoopUtils.cacheLocalFile("/opt/infinite-home/scripts/",
                        "custom_reduce_error_handler.sh", config);
                config.set("mapred.reduce.task.debug.script", "custom_reduce_error_handler.sh " + job.jobtitle);
                config.set("mapreduce.reduce.debug.script", "custom_reduce_error_handler.sh " + job.jobtitle);
                DistributedCache.createSymlink(config);
                DistributedCache.addCacheFile(scriptToCache.toUri(), config);
            } catch (Exception e) {
            } // just carry on

        } //TODO (???): TOTEST

        // (need to do these 2 things here before the job is created, at which point the config class has been copied across)
        //1)
        Class<?> mapperClazz = Class.forName(job.mapper, true, child);
        if (ICustomInfiniteInternalEngine.class.isAssignableFrom(mapperClazz)) { // Special case: internal custom engine, so gets an additional integration hook
            ICustomInfiniteInternalEngine preActivities = (ICustomInfiniteInternalEngine) mapperClazz
                    .newInstance();
            preActivities.preTaskActivities(job._id, job.communityIds, config, !(bTestMode || bLocalMode));
        } //TESTED
          //2)
        if (job.inputCollection.equalsIgnoreCase("file.binary_shares")) {
            // Need to download the GridFSZip file
            try {
                Path jarToCache = InfiniteHadoopUtils.cacheLocalFile("/opt/infinite-home/lib/unbundled/",
                        "GridFSZipFile.jar", config);
                DistributedCache.addFileToClassPath(jarToCache, config);
            } catch (Throwable t) {
            } // (this is fine, will already be on the classpath .. otherwise lots of other stuff will be failing all over the place!)            
        }

        if (job.inputCollection.equals("records")) {

            InfiniteElasticsearchHadoopUtils.handleElasticsearchInput(job, config, advancedConfigurationDbo);

            //(won't run under 0.19 so running with "records" should cause all sorts of exceptions)

        } //TESTED (by hand)         

        if (bTestMode || bLocalMode) { // If running locally, turn "snappy" off - tomcat isn't pointing its native library path in the right place
            config.set("mapred.map.output.compression.codec", "org.apache.hadoop.io.compress.DefaultCodec");
        }

        // Manually specified caches
        List<URL> localJarCaches = InfiniteHadoopUtils.handleCacheList(advancedConfigurationDbo.get("$caches"),
                job, config, props_custom);

        Job hj = new Job(config); // (NOTE: from here, changes to config are ignored)
        try {

            if (null != localJarCaches) {
                if (bLocalMode || bTestMode) {
                    Method method = URLClassLoader.class.getDeclaredMethod("addURL", new Class[] { URL.class });
                    method.setAccessible(true);
                    method.invoke(child, localJarCaches.toArray());

                } //TOTEST (tested logically)
            }
            Class<?> classToLoad = Class.forName(job.mapper, true, child);
            hj.setJarByClass(classToLoad);

            if (job.inputCollection.equalsIgnoreCase("filesystem")) {
                String inputPath = null;
                try {
                    inputPath = MongoDbUtil.getProperty(advancedConfigurationDbo, "file.url");
                    if (!inputPath.endsWith("/")) {
                        inputPath = inputPath + "/";
                    }
                } catch (Exception e) {
                }
                if (null == inputPath) {
                    throw new RuntimeException("Must specify 'file.url' if reading from filesystem.");
                }
                inputPath = InfiniteHadoopUtils.authenticateInputDirectory(job, inputPath);

                InfiniteFileInputFormat.addInputPath(hj, new Path(inputPath + "*/*")); // (that extra bit makes it recursive)
                InfiniteFileInputFormat.setMaxInputSplitSize(hj, 33554432); // (32MB)
                InfiniteFileInputFormat.setInfiniteInputPathFilter(hj, config);
                hj.setInputFormatClass((Class<? extends InputFormat>) Class.forName(
                        "com.ikanow.infinit.e.data_model.custom.InfiniteFileInputFormat", true, child));
            } else if (job.inputCollection.equalsIgnoreCase("file.binary_shares")) {

                String[] oidStrs = null;
                try {
                    String inputPath = MongoDbUtil.getProperty(advancedConfigurationDbo, "file.url");
                    Pattern oidExtractor = Pattern.compile("inf://share/([^/]+)");
                    Matcher m = oidExtractor.matcher(inputPath);
                    if (m.find()) {
                        oidStrs = m.group(1).split("\\s*,\\s*");

                    } else {
                        throw new RuntimeException(
                                "file.url must be in format inf://share/<oid-list>/<string>: " + inputPath);
                    }
                    InfiniteHadoopUtils.authenticateShareList(job, oidStrs);
                } catch (Exception e) {
                    throw new RuntimeException(
                            "Authentication error: " + e.getMessage() + ": " + advancedConfigurationDbo, e);
                }

                hj.getConfiguration().setStrings("mapred.input.dir", oidStrs);
                hj.setInputFormatClass((Class<? extends InputFormat>) Class.forName(
                        "com.ikanow.infinit.e.data_model.custom.InfiniteShareInputFormat", true, child));
            } else if (job.inputCollection.equals("records")) {
                hj.setInputFormatClass((Class<? extends InputFormat>) Class
                        .forName("com.ikanow.infinit.e.data_model.custom.InfiniteEsInputFormat", true, child));
            } else {
                if (esMode) {
                    hj.setInputFormatClass((Class<? extends InputFormat>) Class.forName(
                            "com.ikanow.infinit.e.processing.custom.utils.InfiniteElasticsearchMongoInputFormat",
                            true, child));
                } else {
                    hj.setInputFormatClass((Class<? extends InputFormat>) Class.forName(
                            "com.ikanow.infinit.e.data_model.custom.InfiniteMongoInputFormat", true, child));
                }
            }
            if ((null != job.exportToHdfs) && job.exportToHdfs) {

                //TODO (INF-2469): Also, if the output key is BSON then also run as text (but output as JSON?)

                Path outPath = InfiniteHadoopUtils.ensureOutputDirectory(job, props_custom);

                if ((null != job.outputKey) && (null != job.outputValue)
                        && job.outputKey.equalsIgnoreCase("org.apache.hadoop.io.text")
                        && job.outputValue.equalsIgnoreCase("org.apache.hadoop.io.text")) {
                    // (slight hack before I sort out the horrendous job class - if key/val both text and exporting to HDFS then output as Text)
                    hj.setOutputFormatClass((Class<? extends OutputFormat>) Class
                            .forName("org.apache.hadoop.mapreduce.lib.output.TextOutputFormat", true, child));
                    TextOutputFormat.setOutputPath(hj, outPath);
                } //TESTED
                else {
                    hj.setOutputFormatClass((Class<? extends OutputFormat>) Class.forName(
                            "org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat", true, child));
                    SequenceFileOutputFormat.setOutputPath(hj, outPath);
                } //TESTED
            } else { // normal case, stays in MongoDB
                hj.setOutputFormatClass((Class<? extends OutputFormat>) Class.forName(
                        "com.ikanow.infinit.e.data_model.custom.InfiniteMongoOutputFormat", true, child));
            }
            hj.setMapperClass((Class<? extends Mapper>) mapperClazz);
            String mapperOutputKeyOverride = advancedConfigurationDbo.getString("$mapper_key_class", null);
            if (null != mapperOutputKeyOverride) {
                hj.setMapOutputKeyClass(Class.forName(mapperOutputKeyOverride));
            } //TESTED 

            String mapperOutputValueOverride = advancedConfigurationDbo.getString("$mapper_value_class", null);
            if (null != mapperOutputValueOverride) {
                hj.setMapOutputValueClass(Class.forName(mapperOutputValueOverride));
            } //TESTED 

            if ((null != job.reducer) && !job.reducer.startsWith("#") && !job.reducer.equalsIgnoreCase("null")
                    && !job.reducer.equalsIgnoreCase("none")) {
                hj.setReducerClass((Class<? extends Reducer>) Class.forName(job.reducer, true, child));
                // Variable reducers:
                if (null != job.query) {
                    try {
                        hj.setNumReduceTasks(advancedConfigurationDbo.getInt("$reducers", 1));
                    } catch (Exception e) {
                        try {
                            // (just check it's not a string that is a valid int)
                            hj.setNumReduceTasks(
                                    Integer.parseInt(advancedConfigurationDbo.getString("$reducers", "1")));
                        } catch (Exception e2) {
                        }
                    }
                } //TESTED
            } else {
                hj.setNumReduceTasks(0);
            }
            if ((null != job.combiner) && !job.combiner.startsWith("#")
                    && !job.combiner.equalsIgnoreCase("null") && !job.combiner.equalsIgnoreCase("none")) {
                hj.setCombinerClass((Class<? extends Reducer>) Class.forName(job.combiner, true, child));
            }
            hj.setOutputKeyClass(Class.forName(job.outputKey, true, child));
            hj.setOutputValueClass(Class.forName(job.outputValue, true, child));

            hj.setJobName(job.jobtitle);
            currJobName = job.jobtitle;
        } catch (Error e) { // (messing about with class loaders = lots of chances for errors!)
            throw new RuntimeException(e.getMessage(), e);
        }
        if (bTestMode || bLocalMode) {
            hj.submit();
            currThreadId = null;
            Logger.getRootLogger().addAppender(this);
            currLocalJobId = hj.getJobID().toString();
            currLocalJobErrs.setLength(0);
            while (!hj.isComplete()) {
                Thread.sleep(1000);
            }
            Logger.getRootLogger().removeAppender(this);
            if (hj.isSuccessful()) {
                if (this.currLocalJobErrs.length() > 0) {
                    return "local_done: " + this.currLocalJobErrs.toString();
                } else {
                    return "local_done";
                }
            } else {
                return "Error: " + this.currLocalJobErrs.toString();
            }
        } else {
            hj.submit();
            String jobId = hj.getJobID().toString();
            return jobId;
        }
    } catch (Exception e) {
        e.printStackTrace();
        Thread.currentThread().setContextClassLoader(savedClassLoader);
        return "Error: " + InfiniteHadoopUtils.createExceptionMessage(e);
    } finally {
        Thread.currentThread().setContextClassLoader(savedClassLoader);
    }
}

From source file:com.inmobi.conduit.distcp.tools.DistCp.java

License:Apache License

/**
 * Implements the core-execution. Creates the file-list for copy,
 * and launches the Hadoop-job, to do the copy.
 * @return Job handle/*w  ww . j  a va2s .  com*/
 * @throws Exception, on failure.
 */
public Job execute() throws Exception {
    assert inputOptions != null;
    assert getConf() != null;

    Job job = null;
    try {
        metaFolder = createMetaFolderPath();
        jobFS = metaFolder.getFileSystem(getConf());

        job = createJob();
        createInputFileListing(job);

        job.submit();
        submitted = true;
    } finally {
        if (!submitted) {
            cleanup();
        }
    }

    String jobID = getJobID(job);
    job.getConfiguration().set(DistCpConstants.CONF_LABEL_DISTCP_JOB_ID, jobID);

    LOG.info("DistCp job-id: " + jobID);
    LOG.info("DistCp job may be tracked at: " + job.getTrackingURL());
    LOG.info("To cancel, run the following command:\thadoop job -kill " + jobID);

    long jobStartTime = System.nanoTime();
    if (inputOptions.shouldBlock() && !job.waitForCompletion(true)) {
        updateJobTimeInNanos(jobStartTime);
        throw new IOException("DistCp failure: Job " + jobID + " has failed. ");
    }
    updateJobTimeInNanos(jobStartTime);
    return job;
}

From source file:com.inmobi.conduit.distcp.tools.mapred.TestCopyCommitter.java

License:Apache License

@Ignore
@Test//from   w w  w  . j av  a2  s  . co m
public void testCounterProvider() {
    try {
        Job job = MockJobTracker.getJobForClient();
        Counters a = EMPTY_COUNTERS;
        CounterGroup grp = a.getGroup("abc");
        Counter cntr = grp.findCounter("counter");
        cntr.increment(100);
        CounterProvider cp = new CounterProvider(a);
        job.submit();
        Assert.assertEquals(job.getCounters(), a);
    } catch (Exception e) {
        LOG.error("Exception encountered ", e);
    }
}

From source file:com.kylinolap.job.hadoop.AbstractHadoopJob.java

License:Apache License

protected int waitForCompletion(Job job) throws IOException, InterruptedException, ClassNotFoundException {
    int retVal = 0;
    long start = System.nanoTime();

    if (isAsync) {
        job.submit();
    } else {/*from www . j a  va2s. co m*/
        job.waitForCompletion(true);
        retVal = job.isSuccessful() ? 0 : 1;
    }

    log.debug("Job '" + job.getJobName() + "' finished "
            + (job.isSuccessful() ? "successfully in " : "with failures.  Time taken ")
            + StringUtils.formatTime((System.nanoTime() - start) / 1000000L));

    return retVal;
}

From source file:com.lakhani.anchorgraph.anchorgraph.java

public int run(String[] args) throws Exception {
    Configuration conf = new Configuration();
    //DistributedCache.addCacheFile(new URI("hdfs://zphdc1n1:8020/user/clakhani/anchorgraph/centroids.txt"), conf);
    conf.set("numberCentroids", args[3]);
    conf.set("numberFeatures", args[4]);
    Job job = new Job(conf, "anchorgraph");
    job.addCacheFile(new URI(args[2]));
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(Text.class);
    job.setMapperClass(Map.class);
    job.setInputFormatClass(TextInputFormat.class);
    job.setOutputFormatClass(TextOutputFormat.class);
    FileInputFormat.addInputPath(job, new Path(args[0]));
    FileOutputFormat.setOutputPath(job, new Path(args[2]));
    job.setJarByClass(anchorgraph.class);
    job.submit();
    int rc = (job.waitForCompletion(true)) ? 1 : 0;
    return rc;//from  w w  w  . ja  v  a2  s  .c om
}

From source file:com.lakhani.anchorgraph.testCache.java

public int run(String[] args) throws Exception {
    Configuration conf = new Configuration();

    Job job = new Job(conf, "testCache");
    job.addCacheFile(new URI("hdfs://zphdc1n1:8020/user/clakhani/anchorgraph/centroids.txt"));
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(Text.class);
    job.setMapperClass(Map.class);
    job.setInputFormatClass(TextInputFormat.class);
    job.setOutputFormatClass(TextOutputFormat.class);
    FileInputFormat.addInputPath(job, new Path(args[0]));
    FileOutputFormat.setOutputPath(job, new Path(args[1]));
    job.setJarByClass(testCache.class);
    job.submit();
    int rc = (job.waitForCompletion(true)) ? 1 : 0;
    return rc;/*  ww w .j  a  v  a 2  s. c  om*/
}

From source file:com.metamx.druid.indexer.DeterminePartitionsJob.java

License:Open Source License

public boolean run() {
    try {//from  w  w w  .  j ava  2  s.c o  m
        /*
         * Group by (timestamp, dimensions) so we can correctly count dimension values as they would appear
         * in the final segment.
         */

        if (!config.getPartitionsSpec().isAssumeGrouped()) {
            final Job groupByJob = new Job(new Configuration(), String.format(
                    "%s-determine_partitions_groupby-%s", config.getDataSource(), config.getIntervals()));

            injectSystemProperties(groupByJob);
            groupByJob.setInputFormatClass(TextInputFormat.class);
            groupByJob.setMapperClass(DeterminePartitionsGroupByMapper.class);
            groupByJob.setMapOutputKeyClass(BytesWritable.class);
            groupByJob.setMapOutputValueClass(NullWritable.class);
            groupByJob.setCombinerClass(DeterminePartitionsGroupByReducer.class);
            groupByJob.setReducerClass(DeterminePartitionsGroupByReducer.class);
            groupByJob.setOutputKeyClass(BytesWritable.class);
            groupByJob.setOutputValueClass(NullWritable.class);
            groupByJob.setOutputFormatClass(SequenceFileOutputFormat.class);
            groupByJob.setJarByClass(DeterminePartitionsJob.class);

            config.addInputPaths(groupByJob);
            config.intoConfiguration(groupByJob);
            FileOutputFormat.setOutputPath(groupByJob, config.makeGroupedDataDir());

            groupByJob.submit();
            log.info("Job %s submitted, status available at: %s", groupByJob.getJobName(),
                    groupByJob.getTrackingURL());

            if (!groupByJob.waitForCompletion(true)) {
                log.error("Job failed: %s", groupByJob.getJobID());
                return false;
            }
        } else {
            log.info("Skipping group-by job.");
        }

        /*
         * Read grouped data and determine appropriate partitions.
         */
        final Job dimSelectionJob = new Job(new Configuration(), String.format(
                "%s-determine_partitions_dimselection-%s", config.getDataSource(), config.getIntervals()));

        dimSelectionJob.getConfiguration().set("io.sort.record.percent", "0.19");

        injectSystemProperties(dimSelectionJob);

        if (!config.getPartitionsSpec().isAssumeGrouped()) {
            // Read grouped data from the groupByJob.
            dimSelectionJob.setMapperClass(DeterminePartitionsDimSelectionPostGroupByMapper.class);
            dimSelectionJob.setInputFormatClass(SequenceFileInputFormat.class);
            FileInputFormat.addInputPath(dimSelectionJob, config.makeGroupedDataDir());
        } else {
            // Directly read the source data, since we assume it's already grouped.
            dimSelectionJob.setMapperClass(DeterminePartitionsDimSelectionAssumeGroupedMapper.class);
            dimSelectionJob.setInputFormatClass(TextInputFormat.class);
            config.addInputPaths(dimSelectionJob);
        }

        SortableBytes.useSortableBytesAsMapOutputKey(dimSelectionJob);
        dimSelectionJob.setMapOutputValueClass(Text.class);
        dimSelectionJob.setCombinerClass(DeterminePartitionsDimSelectionCombiner.class);
        dimSelectionJob.setReducerClass(DeterminePartitionsDimSelectionReducer.class);
        dimSelectionJob.setOutputKeyClass(BytesWritable.class);
        dimSelectionJob.setOutputValueClass(Text.class);
        dimSelectionJob.setOutputFormatClass(DeterminePartitionsDimSelectionOutputFormat.class);
        dimSelectionJob.setJarByClass(DeterminePartitionsJob.class);

        config.intoConfiguration(dimSelectionJob);
        FileOutputFormat.setOutputPath(dimSelectionJob, config.makeIntermediatePath());

        dimSelectionJob.submit();
        log.info("Job %s submitted, status available at: %s", dimSelectionJob.getJobName(),
                dimSelectionJob.getTrackingURL());

        if (!dimSelectionJob.waitForCompletion(true)) {
            log.error("Job failed: %s", dimSelectionJob.getJobID().toString());
            return false;
        }

        /*
         * Load partitions determined by the previous job.
         */

        log.info("Job completed, loading up partitions for intervals[%s].",
                config.getSegmentGranularIntervals());
        FileSystem fileSystem = null;
        Map<DateTime, List<HadoopyShardSpec>> shardSpecs = Maps.newTreeMap(DateTimeComparator.getInstance());
        int shardCount = 0;
        for (Interval segmentGranularity : config.getSegmentGranularIntervals()) {
            DateTime bucket = segmentGranularity.getStart();

            final Path partitionInfoPath = config.makeSegmentPartitionInfoPath(new Bucket(0, bucket, 0));
            if (fileSystem == null) {
                fileSystem = partitionInfoPath.getFileSystem(dimSelectionJob.getConfiguration());
            }
            if (fileSystem.exists(partitionInfoPath)) {
                List<ShardSpec> specs = config.jsonMapper.readValue(
                        Utils.openInputStream(dimSelectionJob, partitionInfoPath),
                        new TypeReference<List<ShardSpec>>() {
                        });

                List<HadoopyShardSpec> actualSpecs = Lists.newArrayListWithExpectedSize(specs.size());
                for (int i = 0; i < specs.size(); ++i) {
                    actualSpecs.add(new HadoopyShardSpec(specs.get(i), shardCount++));
                    log.info("DateTime[%s], partition[%d], spec[%s]", bucket, i, actualSpecs.get(i));
                }

                shardSpecs.put(bucket, actualSpecs);
            } else {
                log.info("Path[%s] didn't exist!?", partitionInfoPath);
            }
        }
        config.setShardSpecs(shardSpecs);

        return true;
    } catch (Exception e) {
        throw Throwables.propagate(e);
    }
}

From source file:com.metamx.druid.indexer.IndexGeneratorJob.java

License:Open Source License

public boolean run() {
    try {/*w w  w.  j  a  va  2s. com*/
        Job job = new Job(new Configuration(),
                String.format("%s-index-generator-%s", config.getDataSource(), config.getIntervals()));

        job.getConfiguration().set("io.sort.record.percent", "0.23");

        for (String propName : System.getProperties().stringPropertyNames()) {
            Configuration conf = job.getConfiguration();
            if (propName.startsWith("hadoop.")) {
                conf.set(propName.substring("hadoop.".length()), System.getProperty(propName));
            }
        }

        job.setInputFormatClass(TextInputFormat.class);

        job.setMapperClass(IndexGeneratorMapper.class);
        job.setMapOutputValueClass(Text.class);

        SortableBytes.useSortableBytesAsMapOutputKey(job);

        job.setNumReduceTasks(Iterables.size(config.getAllBuckets()));
        job.setPartitionerClass(IndexGeneratorPartitioner.class);

        job.setReducerClass(IndexGeneratorReducer.class);
        job.setOutputKeyClass(BytesWritable.class);
        job.setOutputValueClass(Text.class);
        job.setOutputFormatClass(IndexGeneratorOutputFormat.class);
        FileOutputFormat.setOutputPath(job, config.makeIntermediatePath());

        config.addInputPaths(job);
        config.intoConfiguration(job);

        job.setJarByClass(IndexGeneratorJob.class);

        job.submit();
        log.info("Job %s submitted, status available at %s", job.getJobName(), job.getTrackingURL());

        boolean success = job.waitForCompletion(true);

        Counter invalidRowCount = job.getCounters()
                .findCounter(HadoopDruidIndexerConfig.IndexJobCounters.INVALID_ROW_COUNTER);
        jobStats.setInvalidRowCount(invalidRowCount.getValue());

        return success;
    } catch (Exception e) {
        throw new RuntimeException(e);
    }
}

From source file:com.mongodb.hadoop.examples.ufos.UfoSightings.java

License:Apache License

public int run(final String[] args) throws Exception {
    final Configuration conf = getConf();

    final Job job = new Job(conf, "ufo-sightings");

    job.setMapperClass(UfoSightingsMapper.class);
    job.setReducerClass(UfoSightingsReducer.class);
    job.setOutputFormatClass(com.mongodb.hadoop.MongoOutputFormat.class);
    job.setOutputKeyClass(org.apache.hadoop.io.Text.class);
    job.setOutputValueClass(org.apache.hadoop.io.IntWritable.class);
    job.setInputFormatClass(com.mongodb.hadoop.MongoInputFormat.class);

    final boolean verbose = true;
    try {//from  w ww . jav  a  2s  . c o m
        if (BACKGROUND) {
            LOG.info("Setting up and running MapReduce job in background.");
            job.submit();
            return 0;
        } else {
            LOG.info("Setting up and running MapReduce job in foreground, will wait for results.  {Verbose? "
                    + verbose + "}");
            return job.waitForCompletion(true) ? 0 : 1;
        }
    } catch (final Exception e) {
        LOG.error("Exception while executing job... ", e);
        return 1;
    }
}