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  5. org.apache.hadoop.mapreduce.Job#setJarByClass ( )

org.apache.hadoop.mapreduce.Job#setJarByClass ( )源码实例Demo

下面列出了org.apache.hadoop.mapreduce.Job#setJarByClass ( ) 实例代码，或者点击链接到github查看源代码，也可以在右侧发表评论。

源代码1 项目： marklogic-contentpump   文件： ContentLoader.java 
public static void main(String[] args) throws Exception {
    Configuration conf = new Configuration();
    if (args.length < 2) {
        System.err.println("Usage: ContentLoader configFile inputDir");
        System.exit(2);
    }
    String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
    
    Job job = Job.getInstance(conf, "content loader");
    job.setJarByClass(ContentLoader.class);
    job.setInputFormatClass(ContentInputFormat.class);
    job.setMapperClass(ContentMapper.class);
    job.setMapOutputKeyClass(DocumentURI.class);
    job.setMapOutputValueClass(Text.class);
    job.setOutputFormatClass(ContentOutputFormat.class);
    
    ContentInputFormat.setInputPaths(job, new Path(otherArgs[1]));

    conf = job.getConfiguration();
    conf.addResource(otherArgs[0]);
     
    System.exit(job.waitForCompletion(true) ? 0 : 1);
}
源代码2 项目： hbase   文件： CellCounter.java 
/**
 * Sets up the actual job.
 *
 * @param conf The current configuration.
 * @param args The command line parameters.
 * @return The newly created job.
 * @throws IOException When setting up the job fails.
 */
public static Job createSubmittableJob(Configuration conf, String[] args)
    throws IOException {
  String tableName = args[0];
  Path outputDir = new Path(args[1]);
  String reportSeparatorString = (args.length > 2) ? args[2]: ":";
  conf.set("ReportSeparator", reportSeparatorString);
  Job job = Job.getInstance(conf, conf.get(JOB_NAME_CONF_KEY, NAME + "_" + tableName));
  job.setJarByClass(CellCounter.class);
  Scan scan = getConfiguredScanForJob(conf, args);
  TableMapReduceUtil.initTableMapperJob(tableName, scan,
      CellCounterMapper.class, ImmutableBytesWritable.class, Result.class, job);
  job.setNumReduceTasks(1);
  job.setMapOutputKeyClass(Text.class);
  job.setMapOutputValueClass(IntWritable.class);
  job.setOutputFormatClass(TextOutputFormat.class);
  job.setOutputKeyClass(Text.class);
  job.setOutputValueClass(IntWritable.class);
  FileOutputFormat.setOutputPath(job, outputDir);
  job.setReducerClass(IntSumReducer.class);
  return job;
}
源代码3 项目： recsys-offline   文件： UpdateCFJob.java 
public void run() throws Exception{
	long startTime = System.currentTimeMillis();
	Configuration conf = new Configuration();
	conf.set(TableOutputFormat.OUTPUT_TABLE, Constants.hbase_user_item_pref_table);
	Job job = Job.getInstance(conf, "hbasewriter"+System.currentTimeMillis());
	job.setJarByClass(UpdateCFJob.class);
	job.setMapperClass(TokenizerMapper.class);
	job.setReducerClass(HBaseWriteReducer.class);
	job.setMapOutputKeyClass(IntWritable.class);  
	job.setMapOutputValueClass(Text.class);
	job.setOutputFormatClass(TableOutputFormat.class);
	FileInputFormat.addInputPath(job, new Path(input));
	long endTime = System.currentTimeMillis();
	boolean isFinish = job.waitForCompletion(true);
	if(isFinish){
		logger.info("UpdateCFJob job ["+job.getJobName()+"] run finish.it costs"+ (endTime - startTime) / 1000 +"s.");
	} else {
		logger.error("UpdateCFJob job ["+job.getJobName()+"] run failed.");
	}
}
源代码4 项目： flink-perf   文件： PageRankDriver.java 
public static void printFinalRanks (Configuration conf, FileSystem fs, String inputPath, String outputPath) throws Exception {
	Path outFile = new Path (outputPath);
	if (fs.exists(outFile)) {
		fs.delete(outFile, true);
	}
	Job job = Job.getInstance(conf);
	job.setMapperClass(RankPrinter.class);
	job.setReducerClass(Reducer.class);
	job.setNumReduceTasks(0);
	job.setMapOutputKeyClass(Text.class);
	job.setMapOutputValueClass(Text.class);
	job.setOutputKeyClass(Text.class);
	job.setOutputValueClass(Text.class);
	job.setInputFormatClass(SequenceFileInputFormat.class);
	job.setOutputFormatClass(TextOutputFormat.class);
	job.setJarByClass(RankPrinter.class);
	FileInputFormat.addInputPath(job, new Path(inputPath));
	FileOutputFormat.setOutputPath(job, outFile);
	job.waitForCompletion(true);
}
源代码5 项目： incubator-retired-blur   文件： IndexerJobDriver.java 
private PartitionedInputResult buildPartitionedInputData(String uuid, Path tmpPath, TableDescriptor descriptor,
    List<Path> inprogressPathList, String snapshot, Path fileCachePath) throws IOException, ClassNotFoundException,
    InterruptedException {
  Job job = Job.getInstance(getConf(), "Partitioning data for table [" + descriptor.getName() + "]");
  job.getConfiguration().set(BLUR_UPDATE_ID, uuid);

  // Needed for the bloom filter path information.
  BlurOutputFormat.setTableDescriptor(job, descriptor);
  BlurInputFormat.setLocalCachePath(job, fileCachePath);
  ExistingDataIndexLookupMapper.setSnapshot(job, snapshot);

  for (Path p : inprogressPathList) {
    FileInputFormat.addInputPath(job, p);
  }
  Path outputPath = new Path(tmpPath, UUID.randomUUID().toString());
  job.setJarByClass(getClass());
  job.setMapperClass(LookupBuilderMapper.class);
  job.setReducerClass(LookupBuilderReducer.class);

  int shardCount = descriptor.getShardCount();
  job.setNumReduceTasks(shardCount);
  job.setInputFormatClass(SequenceFileInputFormat.class);
  job.setMapOutputKeyClass(Text.class);
  job.setMapOutputValueClass(NullWritable.class);
  job.setOutputFormatClass(SequenceFileOutputFormat.class);
  job.setOutputKeyClass(Text.class);
  job.setOutputValueClass(BooleanWritable.class);
  FileOutputFormat.setOutputPath(job, outputPath);
  if (job.waitForCompletion(true)) {
    return new PartitionedInputResult(outputPath, job.getCounters(), shardCount, job.getTaskReports(TaskType.REDUCE));
  } else {
    throw new IOException("Partitioning failed!");
  }
}
源代码6 项目： accumulo-recipes   文件： EventInputFormatIT.java 
@Test
public void test() throws Exception {

    Connector connector = accumuloMiniClusterDriver.getConnector();
    AccumuloEventStore store = new AccumuloEventStore(connector);
    event = EventBuilder.create("", UUID.randomUUID().toString(), System.currentTimeMillis())
        .attr(new Attribute("key1", "val1"))
        .attr(new Attribute("key2", false)).build();
    store.save(singleton(event));
    store.flush();

    Job job = new Job(new Configuration());
    job.setJarByClass(getClass());
    job.setMapperClass(TestMapper.class);
    job.setNumReduceTasks(0);
    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(Text.class);
    job.setInputFormatClass(EventInputFormat.class);
    EventInputFormat.setZooKeeperInstance(job, accumuloMiniClusterDriver.getClientConfiguration());
    EventInputFormat.setInputInfo(job, "root", accumuloMiniClusterDriver.getRootPassword().getBytes(), new Authorizations());
    EventInputFormat.setQueryInfo(job, new Date(System.currentTimeMillis() - 50000), new Date(), Collections.singleton(""),
            QueryBuilder.create().eq("key1", "val1").build());
    job.setOutputFormatClass(NullOutputFormat.class);

    job.submit();
    job.waitForCompletion(true);

    assertNotNull(TestMapper.entry);
    assertEquals(TestMapper.entry.getId(), event.getId());
    assertTrue(TestMapper.entry.getTimestamp() - event.getTimestamp() < 50);
    assertEquals(new HashSet<Attribute>(TestMapper.entry.getAttributes()), new HashSet<Attribute>(event.getAttributes()));

}
源代码7 项目： ml-ease   文件： AvroUtils.java 
/**
 * Run an avro hadoop job with job conf
 * @param conf
 * @throws Exception
 */
public static void runAvroJob(JobConf conf) throws Exception
{
  Path[] inputPaths = AvroInputFormat.getInputPaths(conf);
  _log.info("Running hadoop job with input paths:");
  for (Path inputPath : inputPaths)
  {
    _log.info(inputPath);
  }
  _log.info("Output path="+AvroOutputFormat.getOutputPath(conf));
  Job job = new Job(conf);
  job.setJarByClass(AvroUtils.class);
  job.waitForCompletion(true);
}
源代码8 项目： big-c   文件： DistCp.java 
/**
 * Create Job object for submitting it, with all the configuration
 *
 * @return Reference to job object.
 * @throws IOException - Exception if any
 */
private Job createJob() throws IOException {
  String jobName = "distcp";
  String userChosenName = getConf().get(JobContext.JOB_NAME);
  if (userChosenName != null)
    jobName += ": " + userChosenName;
  Job job = Job.getInstance(getConf());
  job.setJobName(jobName);
  job.setInputFormatClass(DistCpUtils.getStrategy(getConf(), inputOptions));
  job.setJarByClass(CopyMapper.class);
  configureOutputFormat(job);

  job.setMapperClass(CopyMapper.class);
  job.setNumReduceTasks(0);
  job.setMapOutputKeyClass(Text.class);
  job.setMapOutputValueClass(Text.class);
  job.setOutputFormatClass(CopyOutputFormat.class);
  job.getConfiguration().set(JobContext.MAP_SPECULATIVE, "false");
  job.getConfiguration().set(JobContext.NUM_MAPS,
                String.valueOf(inputOptions.getMaxMaps()));

  if (inputOptions.getSslConfigurationFile() != null) {
    setupSSLConfig(job);
  }

  inputOptions.appendToConf(job.getConfiguration());
  return job;
}
源代码9 项目： marklogic-contentpump   文件： ElemAttrValueCooccurrencesTest.java 
public static void main(String[] args) throws Exception {
    Configuration conf = new Configuration();
    String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
    if (otherArgs.length < 1) {
        System.err.println(
                "Usage: ElemAttrValueCooccurrencesTest configFile outputDir");
        System.exit(2);
    }

    Job job = Job.getInstance(conf);
    job.setJarByClass(ElemAttrValueCooccurrencesTest.class);
    job.setInputFormatClass(ValueInputFormat.class);
    job.setMapperClass(ElemAttrCooccurrencesMapper.class);
    job.setMapOutputKeyClass(LongWritable.class);
    job.setMapOutputValueClass(Text.class);
    job.setOutputFormatClass(TextOutputFormat.class);
    FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));

    conf = job.getConfiguration();
    conf.addResource(otherArgs[0]);
    conf.setClass(MarkLogicConstants.INPUT_KEY_CLASS, Text.class, 
            Writable.class);
    conf.setClass(MarkLogicConstants.INPUT_VALUE_CLASS, Text.class, 
            Writable.class);
    conf.setClass(MarkLogicConstants.INPUT_LEXICON_FUNCTION_CLASS, 
        ElemAttrValueCooccurrencesFunction.class, ElemAttrValueCooccurrences.class);

    System.exit(job.waitForCompletion(true) ? 0 : 1);
}
源代码10 项目： dkpro-c4corpus   文件： Phase2ExactMatchDeDuplication.java 
@Override
public int run(String[] args)
        throws Exception
{
    Job job = Job.getInstance(getConf());
    //set from the command line

    job.setJarByClass(Phase2ExactMatchDeDuplication.class);
    job.setJobName(Phase2ExactMatchDeDuplication.class.getName());

    // mapper
    job.setMapperClass(ExactMatchDetectionMapper.class);

    // we will compress the mapper's output (use fast Snappy compressor)
    job.getConfiguration().setBoolean(Job.MAP_OUTPUT_COMPRESS, true);
    job.getConfiguration()
            .setClass(Job.MAP_OUTPUT_COMPRESS_CODEC, SnappyCodec.class, CompressionCodec.class);

    // reducer
    job.setReducerClass(UniqueWarcWriterReducer.class);
    // no combiner, as the output classes in mapper and reducer are different!

    // input-output is warc
    job.setInputFormatClass(WARCInputFormat.class);
    job.setOutputFormatClass(WARCOutputFormat.class);

    // mapper output data
    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(WARCWritable.class);

    // set output compression to GZip
    FileOutputFormat.setCompressOutput(job, true);
    FileOutputFormat.setOutputCompressorClass(job, GzipCodec.class);

    FileInputFormat.addInputPaths(job, args[0]);
    FileOutputFormat.setOutputPath(job, new Path(args[1]));

    return job.waitForCompletion(true) ? 0 : 1;
}
源代码11 项目： MLHadoop   文件： Top_N_Driver.java 
public static void main(String[] args) throws IOException, InterruptedException, ClassNotFoundException {
	Configuration conf=new Configuration();
	conf.set("N", args[0]);
	Job job = new Job(conf);
	job.setJarByClass(Top_N_Driver.class);
	job.setJobName("Top_N_Driver");
	FileInputFormat.setInputPaths(job, new Path(args[1]));
	FileOutputFormat.setOutputPath(job, new Path(args[2]));
	job.setMapperClass(Top_N_Mapper.class);
	job.setReducerClass(Top_N_Reducer.class);
	job.setOutputKeyClass(Text.class);
	job.setOutputValueClass(Text.class);
	boolean success = job.waitForCompletion(true);
	System.exit(success ? 0 : 1);
}
源代码12 项目： dkpro-c4corpus   文件： PagesByURLExtractor.java 
@Override
public int run(String[] args)
        throws Exception
{
    Job job = Job.getInstance(getConf());

    for (Map.Entry<String, String> next : job.getConfiguration()) {
        System.out.println(next.getKey() + ": " + next.getValue());
    }

    job.setJarByClass(PagesByURLExtractor.class);
    job.setJobName(PagesByURLExtractor.class.getName());

    // mapper
    job.setMapperClass(MapperClass.class);

    // input
    job.setInputFormatClass(WARCInputFormat.class);

    // output
    job.setOutputFormatClass(WARCOutputFormat.class);
    job.setOutputKeyClass(NullWritable.class);
    job.setOutputValueClass(WARCWritable.class);
    FileOutputFormat.setCompressOutput(job, true);

    // paths
    String commaSeparatedInputFiles = args[0];
    String outputPath = args[1];

    // load IDs to be searched for
    job.getConfiguration().set(MAPREDUCE_MAPPER_URLS, loadURLs(args[2]));

    FileInputFormat.addInputPaths(job, commaSeparatedInputFiles);
    FileOutputFormat.setOutputPath(job, new Path(outputPath));

    return job.waitForCompletion(true) ? 0 : 1;
}
源代码13 项目： 163-bigdate-note   文件： ParseLogJob.java 
public int run(String[] args) throws Exception {
        //创建job
        Configuration config = getConf();
        Job job = Job.getInstance(config);
        //通过job设置一些参数
        job.setJarByClass(ParseLogJob.class);
        job.setJobName("parselog");
        job.setMapperClass(LogMapper.class);
        //设置reduce个数为0
//        job.setNumReduceTasks(0);
        job.setReducerClass(LogReducer.class);
        job.setMapOutputKeyClass(LongWritable.class);
        job.setMapOutputValueClass(LogBeanWritable.class);
        job.setOutputValueClass(Text.class);


        //添加输入和输出数据
        FileInputFormat.addInputPath(job, new Path(args[0]));
        Path outputPath = new Path(args[1]);
        FileOutputFormat.setOutputPath(job, outputPath);
        FileSystem fs = FileSystem.get(config);
        if (fs.exists(outputPath)) {
            fs.delete(outputPath, true);
        }


        //运行程序
        if (!job.waitForCompletion(true)) {
            throw new RuntimeException(job.getJobName() + "failed!");
        }
        return 0;
    }
源代码14 项目： MapReduce-Demo   文件： DateSortDesc.java 
public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
	// 1.设置HDFS配置信息
	String namenode_ip = "192.168.17.10";
	String hdfs = "hdfs://" + namenode_ip + ":9000";
	Configuration conf = new Configuration();
	conf.set("fs.defaultFS", hdfs);
	conf.set("mapreduce.app-submission.cross-platform", "true");

	// 2.设置MapReduce作业配置信息
	String jobName = "DateSortDesc"; // 定义作业名称
	Job job = Job.getInstance(conf, jobName);
	job.setJarByClass(DateSortAsc.class); // 指定作业类
	job.setJar("export\\DateSortDesc.jar"); // 指定本地jar包

	job.setMapperClass(SortMapper.class);
	job.setMapOutputKeyClass(IntWritable.class);
	job.setMapOutputValueClass(Text.class);
	job.setReducerClass(SortReducer.class);
	job.setOutputKeyClass(Text.class);
	job.setOutputValueClass(IntWritable.class);
	// 指定排序所使用的比较器
	job.setSortComparatorClass(MyComparator.class);

	// 3.设置作业输入和输出路径
	String dataDir = "/workspace/dateSort/data"; // 实验数据目录
	String outputDir = "/workspace/dateSort/output"; // 实验输出目录
	Path inPath = new Path(hdfs + dataDir);
	Path outPath = new Path(hdfs + outputDir);
	FileInputFormat.addInputPath(job, inPath);
	FileOutputFormat.setOutputPath(job, outPath);
	FileSystem fs = FileSystem.get(conf);
	if (fs.exists(outPath)) {
		fs.delete(outPath, true);
	}

	// 4.运行作业
	System.out.println("Job: " + jobName + " is running...");
	if (job.waitForCompletion(true)) {
		System.out.println("success!");
		System.exit(0);
	} else {
		System.out.println("failed!");
		System.exit(1);
	}

}
源代码15 项目： jumbune   文件： DataProfilingJobExecutor.java 
/**
 * @param args
 */
public static void main(String[] args) throws IOException, InterruptedException , ClassNotFoundException{
	
	Configuration conf = new Configuration();
	String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
	LOGGER.debug("Data Profiling job values respectively ["+otherArgs[0]+"], "+
			 otherArgs[1]);
	StringBuilder sb = new StringBuilder();
	
	int dynamicArgs = 0;		
	dynamicArgs = ((otherArgs.length)-1);
	
	for (int i = dynamicArgs; i < otherArgs.length; i++) {
		LOGGER.debug("other arguments" + otherArgs[i]);
		sb.append(otherArgs[i]);
	}
	
	String outputPath = DataProfilingConstants.OUTPUT_DIR_PATH + new Date().getTime();
	String inputPath = otherArgs[0];
	String dpBeanString = sb.toString();
	LOGGER.debug("Received dpBean value [" + dpBeanString+"]");
	Gson gson = new Gson();
	Type type = new TypeToken<DataProfilingBean>() {
	}.getType();
	
	DataProfilingBean dataProfilingBean = gson.fromJson(dpBeanString, type);
	String recordSeparator = dataProfilingBean.getRecordSeparator();
	conf.set(DataProfilingConstants.DATA_PROFILING_BEAN, dpBeanString);
	conf.set(DataProfilingConstants.RECORD_SEPARATOR, recordSeparator);
	
	conf.set(DataProfilingConstants.TEXTINPUTFORMAT_RECORD_DELIMITER, recordSeparator);
	
	Job job = new Job(conf,DataProfilingConstants.JOB_NAME);
	
	job.setJarByClass(DataProfilingJobExecutor.class);
	job.setMapperClass(DataProfilingMapper.class);
	
	job.setCombinerClass(DataProfilingReducer.class);
	job.setReducerClass(DataProfilingReducer.class);
	
	job.setInputFormatClass(TextInputFormat.class);
	job.setOutputFormatClass(SequenceFileOutputFormat.class);
	
	job.setMapOutputKeyClass(Text.class);
	job.setMapOutputValueClass(IntWritable.class);
	
	job.setOutputKeyClass(Text.class);
	job.setOutputValueClass(IntWritable.class);
	
   	Path[] inputPaths = FileUtil.getAllNestedFilePath(job, inputPath);		
	
	TextInputFormat.setInputPaths(job, inputPaths);
	SequenceFileOutputFormat.setOutputPath(job, new Path(outputPath));
	
	job.waitForCompletion(true);
	LOGGER.debug("Job completed , now going to read the result from hdfs");
	Set<CriteriaBasedDataProfiling> criteriaBasedDataProfilings = readJobOutputFromHdfs(conf,outputPath,dataProfilingBean);
	final Gson dpReportGson = new GsonBuilder().disableHtmlEscaping().create();

	final String jsonString = dpReportGson.toJson(criteriaBasedDataProfilings);
	LOGGER.info(DataProfilingConstants.DATA_PROFILING_REPORT + jsonString);
}
源代码16 项目： xxhadoop   文件： FlowSortJob.java 
public int run(String[] args) throws Exception {
	
    /*Configuration conf = getConf();
    JobClient client = new JobClient(conf);
    ClusterStatus cluster = client.getClusterStatus();
    int num_reduces = (int) (cluster.getMaxReduceTasks() * 0.9);
    String join_reduces = conf.get(REDUCES_PER_HOST);
    if (join_reduces != null) {
       num_reduces = cluster.getTaskTrackers() *
                       Integer.parseInt(join_reduces);
    }
    // Set user-supplied (possibly default) job configs
    job.setNumReduceTasks(num_reduces);*/
    
    
	Configuration conf = new Configuration();
	//conf.set("fs.defaultFS", "hdfs://node-01:9000");
	String[] otherArgs = new GenericOptionsParser(conf, args)
			.getRemainingArgs();

	String commaSeparatedPaths = null;
	String outputDir = null;
	if (otherArgs.length == 2) {
		commaSeparatedPaths = otherArgs[0];
		outputDir = otherArgs[1];
	} else {
		System.err.println("Usage: <in>[,<in>...] <out>");
		//System.exit(-1);
		return -1;
	}
	

	Job job = Job.getInstance(conf);
	job.setJobName("FlowSortJob");
	job.setJarByClass(FlowSortJob.class);
	
	job.setMapperClass(FlowSortMapper.class);
	//job.setCombinerClass(WordCountReducer.class);
	job.setReducerClass(FlowSortReducer.class);

	job.setOutputKeyClass(FlowBean.class);
	job.setOutputValueClass(NullWritable.class);
	job.setMapOutputKeyClass(FlowBean.class);
	job.setMapOutputValueClass(NullWritable.class);

	FileInputFormat.setInputPaths(job, commaSeparatedPaths);
	FileOutputFormat.setOutputPath(job, new Path(outputDir));

	return job.waitForCompletion(true) ? 0 : 1;
}
源代码17 项目： incubator-tez   文件： TeraSort.java 
public int run(String[] args) throws Exception {
  if (args.length != 2) {
    System.err.println("Invalid no. of arguments provided");
    System.err.println("Usage: terasort <input-dir> <output-dir>");
    return -1;
  }

  LOG.info("starting");
  Job job = Job.getInstance(getConf());
  Path inputDir = new Path(args[0]);
  Path outputDir = new Path(args[1]);
  boolean useSimplePartitioner = getUseSimplePartitioner(job);
  TeraInputFormat.setInputPaths(job, inputDir);
  FileOutputFormat.setOutputPath(job, outputDir);
  job.setJobName("TeraSort");
  job.setJarByClass(TeraSort.class);
  job.setOutputKeyClass(Text.class);
  job.setOutputValueClass(Text.class);
  job.setInputFormatClass(TeraInputFormat.class);
  job.setOutputFormatClass(TeraOutputFormat.class);
  if (useSimplePartitioner) {
    job.setPartitionerClass(SimplePartitioner.class);
  } else {
    long start = System.currentTimeMillis();
    Path partitionFile = new Path(outputDir, 
                                  TeraInputFormat.PARTITION_FILENAME);
    URI partitionUri = new URI(partitionFile.toString() +
                               "#" + TeraInputFormat.PARTITION_FILENAME);
    try {
      TeraInputFormat.writePartitionFile(job, partitionFile);
    } catch (Throwable e) {
      LOG.error(e.getMessage());
      return -1;
    }
    job.addCacheFile(partitionUri);  
    long end = System.currentTimeMillis();
    System.out.println("Spent " + (end - start) + "ms computing partitions.");
    job.setPartitionerClass(TotalOrderPartitioner.class);
  }
  
  job.getConfiguration().setInt("dfs.replication", getOutputReplication(job));
  TeraOutputFormat.setFinalSync(job, true);
  int ret = job.waitForCompletion(true) ? 0 : 1;
  LOG.info("done");
  return ret;
}
源代码18 项目： tez   文件： TestMRRJobs.java 
@Test (timeout = 60000)
public void testRandomWriter() throws IOException, InterruptedException,
    ClassNotFoundException {

  LOG.info("\n\n\nStarting testRandomWriter().");
  if (!(new File(MiniTezCluster.APPJAR)).exists()) {
    LOG.info("MRAppJar " + MiniTezCluster.APPJAR
             + " not found. Not running test.");
    return;
  }

  RandomTextWriterJob randomWriterJob = new RandomTextWriterJob();
  mrrTezCluster.getConfig().set(RandomTextWriterJob.TOTAL_BYTES, "3072");
  mrrTezCluster.getConfig().set(RandomTextWriterJob.BYTES_PER_MAP, "1024");
  Job job = randomWriterJob.createJob(mrrTezCluster.getConfig());
  Path outputDir = new Path(OUTPUT_ROOT_DIR, "random-output");
  FileOutputFormat.setOutputPath(job, outputDir);
  job.setSpeculativeExecution(false);
  job.setJarByClass(RandomTextWriterJob.class);
  job.setMaxMapAttempts(1); // speed up failures
  job.submit();
  String trackingUrl = job.getTrackingURL();
  String jobId = job.getJobID().toString();
  boolean succeeded = job.waitForCompletion(true);
  Assert.assertTrue(succeeded);
  Assert.assertEquals(JobStatus.State.SUCCEEDED, job.getJobState());
  Assert.assertTrue("Tracking URL was " + trackingUrl +
                    " but didn't Match Job ID " + jobId ,
        trackingUrl.contains(jobId.substring(jobId.indexOf("_"))));

  // Make sure there are three files in the output-dir

  RemoteIterator<FileStatus> iterator =
      FileContext.getFileContext(mrrTezCluster.getConfig()).listStatus(
          outputDir);
  int count = 0;
  while (iterator.hasNext()) {
    FileStatus file = iterator.next();
    if (!file.getPath().getName()
        .equals(FileOutputCommitter.SUCCEEDED_FILE_NAME)) {
      count++;
    }
  }
  Assert.assertEquals("Number of part files is wrong!", 3, count);

}
源代码19 项目： 163-bigdate-note   文件： ParseLogJob.java 
public int run(String[] args) throws Exception {
        //创建job
        Configuration config = getConf();
        //添加自定义配置
//        config.set("ip.file.path", args[2]);
        config.addResource("mr.xml");
        Job job = Job.getInstance(config);
        //通过job设置一些参数
        job.setJarByClass(ParseLogJob.class);
        job.setJobName("parselog");
        job.setMapperClass(LogMapper.class);
        //设置reduce个数为0
        job.setReducerClass(LogReducer.class);
        job.setMapOutputKeyClass(LongWritable.class);
        job.setMapOutputValueClass(LogWritable.class);
        job.setOutputValueClass(Text.class);

        //添加分布式缓存
        job.addCacheFile(new URI(config.get("ip.file.path")));


        //添加输入和输出数据
        FileInputFormat.addInputPath(job, new Path(args[0]));
        Path outputPath = new Path(args[1]);
        FileOutputFormat.setOutputPath(job, outputPath);

        //设置压缩类型
//        FileOutputFormat.setCompressOutput(job, true);
//        FileOutputFormat.setOutputCompressorClass(job, LzopCodec.class);

        FileSystem fs = FileSystem.get(config);
        if (fs.exists(outputPath)) {
            fs.delete(outputPath, true);
        }


        //运行程序
        if (!job.waitForCompletion(true)) {
            throw new RuntimeException(job.getJobName() + "failed!");
        }
        return 0;
    }
源代码20 项目： ignite   文件： HadoopTaskExecutionSelfTest.java 
/**
 * @throws Exception If failed.
 */
@Test
public void testMapCombineRun() throws Exception {
    int lineCnt = 10001;
    String fileName = "/testFile";

    prepareFile(fileName, lineCnt);

    totalLineCnt.set(0);
    taskWorkDirs.clear();

    Configuration cfg = new Configuration();

    cfg.setStrings("fs.igfs.impl", IgniteHadoopFileSystem.class.getName());
    cfg.setBoolean(MAP_WRITE, true);

    Job job = Job.getInstance(cfg);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);

    job.setMapperClass(TestMapper.class);
    job.setCombinerClass(TestCombiner.class);
    job.setReducerClass(TestReducer.class);

    job.setNumReduceTasks(2);

    job.setInputFormatClass(TextInputFormat.class);

    FileInputFormat.setInputPaths(job, new Path("igfs://" + igfsName + "@/"));
    FileOutputFormat.setOutputPath(job, new Path("igfs://" + igfsName + "@/output/"));

    job.setJarByClass(getClass());

    HadoopJobId jobId = new HadoopJobId(UUID.randomUUID(), 2);

    IgniteInternalFuture<?> fut = grid(0).hadoop().submit(jobId, createJobInfo(job.getConfiguration(), null));

    fut.get();

    assertEquals(lineCnt, totalLineCnt.get());

    assertEquals(34, taskWorkDirs.size());

    for (int g = 0; g < gridCount(); g++)
        grid(g).hadoop().finishFuture(jobId).get();
}
 方法所在类
org.apache.hadoop.mapreduce.Job
 同类方法
getInstance ( )
setMapperClass ( )
setJarByClass ( )
setInputFormatClass ( )
waitForCompletion ( )
setOutputValueClass ( )
setOutputKeyClass ( )
setReducerClass ( )
setMapOutputValueClass ( )
setOutputFormatClass ( )
setMapOutputKeyClass ( )
getConfiguration ( )
setNumReduceTasks ( )
setJobName ( )
setCombinerClass ( )
setPartitionerClass ( )
submit ( )
setJar ( )
setGroupingComparatorClass ( )
getCounters ( )
addFileToClassPath ( )
setMaxMapAttempts ( )
addCacheFile ( )
isSuccessful ( )
getJobName ( )
setSpeculativeExecution ( )
setSortComparatorClass ( )
getTrackingURL ( )
setReduceSpeculativeExecution ( )
addCacheArchive ( )
getJobID ( )
killJob ( )
isComplete ( )
getStatus ( )
getNumReduceTasks ( )
getMapOutputKeyClass ( )
addArchiveToClassPath ( )