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

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

下面列出了org.apache.hadoop.mapreduce.Job#setReduceSpeculativeExecution ( ) 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： BigDataArchitect   文件： ActiveUserRunner.java 
@Override
protected void beforeRunJob(Job job) throws IOException {
    super.beforeRunJob(job);
    job.setNumReduceTasks(3); // 每个统计维度一个reducer
    job.setPartitionerClass(ActiveUserPartitioner.class); // 设置分区类
    // 不启动推测执行
    job.setMapSpeculativeExecution(false);
    job.setReduceSpeculativeExecution(false);
}
源代码2 项目： hadoop   文件： DBOutputFormat.java 
private static DBConfiguration setOutput(Job job,
    String tableName) throws IOException {
  job.setOutputFormatClass(DBOutputFormat.class);
  job.setReduceSpeculativeExecution(false);

  DBConfiguration dbConf = new DBConfiguration(job.getConfiguration());
  
  dbConf.setOutputTableName(tableName);
  return dbConf;
}
源代码3 项目： big-c   文件： DBOutputFormat.java 
private static DBConfiguration setOutput(Job job,
    String tableName) throws IOException {
  job.setOutputFormatClass(DBOutputFormat.class);
  job.setReduceSpeculativeExecution(false);

  DBConfiguration dbConf = new DBConfiguration(job.getConfiguration());
  
  dbConf.setOutputTableName(tableName);
  return dbConf;
}
源代码4 项目： geowave   文件： GeoWaveAnalyticExtractJobRunner.java 
@Override
protected void configure(final Job job) throws Exception {

  final ScopedJobConfiguration configWrapper =
      new ScopedJobConfiguration(job.getConfiguration(), SimpleFeatureOutputReducer.class);

  reducerCount = Math.max(configWrapper.getInt(ExtractParameters.Extract.REDUCER_COUNT, 8), 1);

  outputBaseDir = configWrapper.getString(MapReduceParameters.MRConfig.HDFS_BASE_DIR, "/tmp");

  LOGGER.info("Output base directory " + outputBaseDir);

  super.configure(job);

  @SuppressWarnings("rawtypes")
  final Class<? extends DimensionExtractor> dimensionExtractorClass =
      job.getConfiguration().getClass(
          GeoWaveConfiguratorBase.enumToConfKey(
              SimpleFeatureOutputReducer.class,
              ExtractParameters.Extract.DIMENSION_EXTRACT_CLASS),
          SimpleFeatureGeometryExtractor.class,
          DimensionExtractor.class);

  GeoWaveOutputFormat.addDataAdapter(
      job.getConfiguration(),
      createAdapter(
          job.getConfiguration().get(
              GeoWaveConfiguratorBase.enumToConfKey(
                  SimpleFeatureOutputReducer.class,
                  ExtractParameters.Extract.OUTPUT_DATA_TYPE_ID)),
          job.getConfiguration().get(
              GeoWaveConfiguratorBase.enumToConfKey(
                  SimpleFeatureOutputReducer.class,
                  ExtractParameters.Extract.DATA_NAMESPACE_URI)),
          dimensionExtractorClass));

  job.setJobName("GeoWave Extract (" + dataStoreOptions.getGeoWaveNamespace() + ")");
  job.setReduceSpeculativeExecution(false);
}
源代码5 项目： geowave   文件： ConvexHullJobRunner.java 
@Override
public void configure(final Job job) throws Exception {
  job.setMapperClass(ConvexHullMapReduce.ConvexHullMap.class);
  job.setMapOutputKeyClass(GeoWaveInputKey.class);
  job.setMapOutputValueClass(ObjectWritable.class);
  job.setReducerClass(ConvexHullMapReduce.ConvexHullReducer.class);
  job.setReduceSpeculativeExecution(false);
  job.setOutputKeyClass(GeoWaveOutputKey.class);
  job.setOutputValueClass(Object.class);
}
源代码6 项目： geowave   文件： GeoWaveInputLoadJobRunner.java 
@Override
public void configure(final Job job) throws Exception {

  job.setMapperClass(Mapper.class);
  job.setReducerClass(InputToOutputKeyReducer.class);
  job.setMapOutputKeyClass(GeoWaveInputKey.class);
  job.setMapOutputValueClass(ObjectWritable.class);
  job.setOutputKeyClass(GeoWaveOutputKey.class);
  job.setOutputValueClass(Object.class);
  job.setSpeculativeExecution(false);

  job.setJobName("GeoWave Input to Output");
  job.setReduceSpeculativeExecution(false);
}
源代码7 项目： geowave   文件： UpdateCentroidCostJobRunner.java 
@Override
public void configure(final Job job) throws Exception {

  job.setMapperClass(UpdateCentroidCostMapReduce.UpdateCentroidCostMap.class);
  job.setMapOutputKeyClass(GroupIDText.class);
  job.setMapOutputValueClass(CountofDoubleWritable.class);
  job.setCombinerClass(UpdateCentroidCostMapReduce.UpdateCentroidCostCombiner.class);
  job.setReducerClass(UpdateCentroidCostMapReduce.UpdateCentroidCostReducer.class);
  job.setReduceSpeculativeExecution(false);
  job.setOutputKeyClass(GeoWaveOutputKey.class);
  job.setOutputValueClass(SimpleFeature.class);
}
源代码8 项目： geowave   文件： KMeansJobRunner.java 
@Override
public void configure(final Job job) throws Exception {
  job.setMapperClass(KMeansMapReduce.KMeansMapper.class);
  job.setMapOutputKeyClass(GroupIDText.class);
  job.setMapOutputValueClass(BytesWritable.class);
  job.setReducerClass(KMeansMapReduce.KMeansReduce.class);
  job.setCombinerClass(KMeansMapReduce.KMeansCombiner.class);
  job.setReduceSpeculativeExecution(false);
  job.setOutputKeyClass(GeoWaveOutputKey.class);
  job.setOutputValueClass(SimpleFeature.class);
}
源代码9 项目： geowave   文件： KSamplerJobRunner.java 
@Override
public void configure(final Job job) throws Exception {
  job.setMapperClass(KSamplerMapReduce.SampleMap.class);
  job.setMapOutputKeyClass(GeoWaveInputKey.class);
  job.setMapOutputValueClass(ObjectWritable.class);
  job.setReducerClass(KSamplerMapReduce.SampleReducer.class);
  job.setPartitionerClass(KSamplerMapReduce.SampleKeyPartitioner.class);
  job.setReduceSpeculativeExecution(false);
  job.setOutputKeyClass(GeoWaveOutputKey.class);
  job.setOutputValueClass(Object.class);
}
源代码10 项目： linden   文件： LindenJob.java 
@Override
public int run(String[] strings) throws Exception {
  Configuration conf = getConf();
  String dir = conf.get(LindenJobConfig.INPUT_DIR, null);
  logger.info("input dir:" + dir);
  Path inputPath = new Path(StringUtils.unEscapeString(dir));
  Path outputPath = new Path(conf.get(LindenJobConfig.OUTPUT_DIR));
  String indexPath = conf.get(LindenJobConfig.INDEX_PATH);

  FileSystem fs = FileSystem.get(conf);
  if (fs.exists(outputPath)) {
    fs.delete(outputPath, true);
  }
  if (fs.exists(new Path(indexPath))) {
    fs.delete(new Path(indexPath), true);
  }

  int numShards = conf.getInt(LindenJobConfig.NUM_SHARDS, 1);
  Shard[] shards = createShards(indexPath, numShards);

  Shard.setIndexShards(conf, shards);

  //empty trash;
  (new Trash(conf)).expunge();

  Job job = Job.getInstance(conf, "linden-hadoop-indexing");
  job.setJarByClass(LindenJob.class);
  job.setMapperClass(LindenMapper.class);
  job.setCombinerClass(LindenCombiner.class);
  job.setReducerClass(LindenReducer.class);
  job.setMapOutputKeyClass(Shard.class);
  job.setMapOutputValueClass(IntermediateForm.class);
  job.setOutputKeyClass(Shard.class);
  job.setOutputValueClass(Text.class);
  job.setInputFormatClass(TextInputFormat.class);
  job.setOutputFormatClass(IndexUpdateOutputFormat.class);
  job.setReduceSpeculativeExecution(false);
  job.setNumReduceTasks(numShards);

  String lindenSchemaFile = conf.get(LindenJobConfig.SCHEMA_FILE_URL);
  if (lindenSchemaFile == null) {
    throw new IOException("no schema file is found");
  }
  logger.info("Adding schema file: " + lindenSchemaFile);
  job.addCacheFile(new URI(lindenSchemaFile + "#lindenSchema"));
  String lindenPropertiesFile = conf.get(LindenJobConfig.LINDEN_PROPERTIES_FILE_URL);
  if (lindenPropertiesFile == null) {
    throw new IOException("no linden properties file is found");
  }
  logger.info("Adding linden properties file: " + lindenPropertiesFile);
  job.addCacheFile(new URI(lindenPropertiesFile + "#lindenProperties"));

  FileInputFormat.setInputPaths(job, inputPath);
  FileOutputFormat.setOutputPath(job, outputPath);

  Path[] inputs = FileInputFormat.getInputPaths(job);
  StringBuilder buffer = new StringBuilder(inputs[0].toString());
  for (int i = 1; i < inputs.length; i++) {
    buffer.append(",");
    buffer.append(inputs[i].toString());
  }
  logger.info("mapreduce.input.dir = " + buffer.toString());
  logger.info("mapreduce.output.dir = " + FileOutputFormat.getOutputPath(job).toString());
  logger.info("mapreduce.job.num.reduce.tasks = " + job.getNumReduceTasks());
  logger.info(shards.length + " shards = " + conf.get(LindenJobConfig.INDEX_SHARDS));
  logger.info("mapreduce.input.format.class = " + job.getInputFormatClass());
  logger.info("mapreduce.output.format.class = " + job.getOutputFormatClass());
  logger.info("mapreduce.cluster.temp.dir = " + conf.get(MRJobConfig.TEMP_DIR));

  job.waitForCompletion(true);
  if (!job.isSuccessful()) {
    throw new RuntimeException("Job failed");
  }
  return 0;
}
源代码11 项目： Halyard   文件： HalyardBulkDelete.java 
@Override
public int run(CommandLine cmd) throws Exception {
    String source = cmd.getOptionValue('t');
    TableMapReduceUtil.addDependencyJars(getConf(),
        HalyardExport.class,
        NTriplesUtil.class,
        Rio.class,
        AbstractRDFHandler.class,
        RDFFormat.class,
        RDFParser.class,
        HTable.class,
        HBaseConfiguration.class,
        AuthenticationProtos.class,
        Trace.class,
        Gauge.class);
    HBaseConfiguration.addHbaseResources(getConf());
    Job job = Job.getInstance(getConf(), "HalyardDelete " + source);
    if (cmd.hasOption('s')) {
        job.getConfiguration().set(SUBJECT, cmd.getOptionValue('s'));
    }
    if (cmd.hasOption('p')) {
        job.getConfiguration().set(PREDICATE, cmd.getOptionValue('p'));
    }
    if (cmd.hasOption('o')) {
        job.getConfiguration().set(OBJECT, cmd.getOptionValue('o'));
    }
    if (cmd.hasOption('g')) {
        job.getConfiguration().setStrings(CONTEXTS, cmd.getOptionValues('g'));
    }
    job.setJarByClass(HalyardBulkDelete.class);
    TableMapReduceUtil.initCredentials(job);

    Scan scan = HalyardTableUtils.scan(null, null);

    TableMapReduceUtil.initTableMapperJob(source,
        scan,
        DeleteMapper.class,
        ImmutableBytesWritable.class,
        LongWritable.class,
        job);

    job.setMapOutputKeyClass(ImmutableBytesWritable.class);
    job.setMapOutputValueClass(KeyValue.class);
    job.setSpeculativeExecution(false);
    job.setMapSpeculativeExecution(false);
    job.setReduceSpeculativeExecution(false);
    try (HTable hTable = HalyardTableUtils.getTable(getConf(), source, false, 0)) {
        HFileOutputFormat2.configureIncrementalLoad(job, hTable.getTableDescriptor(), hTable.getRegionLocator());
        FileOutputFormat.setOutputPath(job, new Path(cmd.getOptionValue('f')));
        TableMapReduceUtil.addDependencyJars(job);
        if (job.waitForCompletion(true)) {
            new LoadIncrementalHFiles(getConf()).doBulkLoad(new Path(cmd.getOptionValue('f')), hTable);
            LOG.info("Bulk Delete Completed..");
            return 0;
        }
    }
    return -1;
}
源代码12 项目： Halyard   文件： HalyardBulkLoad.java 
@Override
protected int run(CommandLine cmd) throws Exception {
    String source = cmd.getOptionValue('s');
    String workdir = cmd.getOptionValue('w');
    String target = cmd.getOptionValue('t');
    getConf().setBoolean(SKIP_INVALID_PROPERTY, cmd.hasOption('i'));
    getConf().setBoolean(VERIFY_DATATYPE_VALUES_PROPERTY, cmd.hasOption('d'));
    getConf().setBoolean(TRUNCATE_PROPERTY, cmd.hasOption('r'));
    getConf().setInt(SPLIT_BITS_PROPERTY, Integer.parseInt(cmd.getOptionValue('b', "3")));
    if (cmd.hasOption('g')) getConf().set(DEFAULT_CONTEXT_PROPERTY, cmd.getOptionValue('g'));
    getConf().setBoolean(OVERRIDE_CONTEXT_PROPERTY, cmd.hasOption('o'));
    getConf().setLong(DEFAULT_TIMESTAMP_PROPERTY, Long.parseLong(cmd.getOptionValue('e', String.valueOf(System.currentTimeMillis()))));
    if (cmd.hasOption('m')) getConf().setLong("mapreduce.input.fileinputformat.split.maxsize", Long.parseLong(cmd.getOptionValue('m')));
    TableMapReduceUtil.addDependencyJars(getConf(),
            NTriplesUtil.class,
            Rio.class,
            AbstractRDFHandler.class,
            RDFFormat.class,
            RDFParser.class);
    HBaseConfiguration.addHbaseResources(getConf());
    Job job = Job.getInstance(getConf(), "HalyardBulkLoad -> " + workdir + " -> " + target);
    job.setJarByClass(HalyardBulkLoad.class);
    job.setMapperClass(RDFMapper.class);
    job.setMapOutputKeyClass(ImmutableBytesWritable.class);
    job.setMapOutputValueClass(KeyValue.class);
    job.setInputFormatClass(RioFileInputFormat.class);
    job.setSpeculativeExecution(false);
    job.setReduceSpeculativeExecution(false);
    try (HTable hTable = HalyardTableUtils.getTable(getConf(), target, true, getConf().getInt(SPLIT_BITS_PROPERTY, 3))) {
        HFileOutputFormat2.configureIncrementalLoad(job, hTable.getTableDescriptor(), hTable.getRegionLocator());
        FileInputFormat.setInputDirRecursive(job, true);
        FileInputFormat.setInputPaths(job, source);
        FileOutputFormat.setOutputPath(job, new Path(workdir));
        TableMapReduceUtil.addDependencyJars(job);
        TableMapReduceUtil.initCredentials(job);
        if (job.waitForCompletion(true)) {
            if (getConf().getBoolean(TRUNCATE_PROPERTY, false)) {
                HalyardTableUtils.truncateTable(hTable).close();
            }
            new LoadIncrementalHFiles(getConf()).doBulkLoad(new Path(workdir), hTable);
            LOG.info("Bulk Load Completed..");
            return 0;
        }
    }
    return -1;
}
源代码13 项目： Halyard   文件： HalyardBulkUpdate.java 
public int run(CommandLine cmd) throws Exception {
    String source = cmd.getOptionValue('s');
    String queryFiles = cmd.getOptionValue('q');
    String workdir = cmd.getOptionValue('w');
    getConf().setLong(DEFAULT_TIMESTAMP_PROPERTY, Long.parseLong(cmd.getOptionValue('e', String.valueOf(System.currentTimeMillis()))));
    if (cmd.hasOption('i')) getConf().set(ELASTIC_INDEX_URL, cmd.getOptionValue('i'));
    TableMapReduceUtil.addDependencyJars(getConf(),
           HalyardExport.class,
           NTriplesUtil.class,
           Rio.class,
           AbstractRDFHandler.class,
           RDFFormat.class,
           RDFParser.class,
           HTable.class,
           HBaseConfiguration.class,
           AuthenticationProtos.class,
           Trace.class,
           Gauge.class);
    HBaseConfiguration.addHbaseResources(getConf());
    getConf().setStrings(TABLE_NAME_PROPERTY, source);
    getConf().setLong(DEFAULT_TIMESTAMP_PROPERTY, getConf().getLong(DEFAULT_TIMESTAMP_PROPERTY, System.currentTimeMillis()));
    int stages = 1;
    for (int stage = 0; stage < stages; stage++) {
        Job job = Job.getInstance(getConf(), "HalyardBulkUpdate -> " + workdir + " -> " + source + " stage #" + stage);
        job.getConfiguration().setInt(STAGE_PROPERTY, stage);
        job.setJarByClass(HalyardBulkUpdate.class);
        job.setMapperClass(SPARQLUpdateMapper.class);
        job.setMapOutputKeyClass(ImmutableBytesWritable.class);
        job.setMapOutputValueClass(KeyValue.class);
        job.setInputFormatClass(QueryInputFormat.class);
        job.setSpeculativeExecution(false);
        job.setReduceSpeculativeExecution(false);
        try (HTable hTable = HalyardTableUtils.getTable(getConf(), source, false, 0)) {
            HFileOutputFormat2.configureIncrementalLoad(job, hTable.getTableDescriptor(), hTable.getRegionLocator());
            QueryInputFormat.setQueriesFromDirRecursive(job.getConfiguration(), queryFiles, true, stage);
            Path outPath = new Path(workdir, "stage"+stage);
            FileOutputFormat.setOutputPath(job, outPath);
            TableMapReduceUtil.addDependencyJars(job);
            TableMapReduceUtil.initCredentials(job);
            if (stage == 0) { //count real number of stages
                for (InputSplit is : new QueryInputFormat().getSplits(job)) {
                    QueryInputFormat.QueryInputSplit qis = (QueryInputFormat.QueryInputSplit)is;
                    int updates = QueryParserUtil.parseUpdate(QueryLanguage.SPARQL, qis.getQuery(), null).getUpdateExprs().size();
                    if (updates > stages) {
                        stages = updates;
                    }
                    LOG.log(Level.INFO, "{0} contains {1} stages of the update sequence.", new Object[]{qis.getQueryName(), updates});
                }
                LOG.log(Level.INFO, "Bulk Update will process {0} MapReduce stages.", stages);
            }
            if (job.waitForCompletion(true)) {
                new LoadIncrementalHFiles(getConf()).doBulkLoad(outPath, hTable);
                LOG.log(Level.INFO, "Stage #{0} of {1} completed..", new Object[]{stage, stages});
            } else {
                return -1;
            }
        }
    }
    LOG.info("Bulk Update Completed..");
    return 0;
}
 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 ( )