Java Code Examples for org.apache.hadoop.hbase.mapreduce.MutationSerialization

The following examples show how to use org.apache.hadoop.hbase.mapreduce.MutationSerialization. These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source Project: hbase   Source File: TableMapReduceUtil.java    License: Apache License 2.0 6 votes vote down vote up
/**
 * Use this before submitting a TableReduce job. It will
 * appropriately set up the JobConf.
 *
 * @param table  The output table.
 * @param reducer  The reducer class to use.
 * @param job  The current job configuration to adjust.
 * @param partitioner  Partitioner to use. Pass <code>null</code> to use
 * default partitioner.
 * @param addDependencyJars upload HBase jars and jars for any of the configured
 *           job classes via the distributed cache (tmpjars).
 * @throws IOException When determining the region count fails.
 */
public static void initTableReduceJob(String table,
  Class<? extends TableReduce> reducer, JobConf job, Class partitioner,
  boolean addDependencyJars) throws IOException {
  job.setOutputFormat(TableOutputFormat.class);
  job.setReducerClass(reducer);
  job.set(TableOutputFormat.OUTPUT_TABLE, table);
  job.setOutputKeyClass(ImmutableBytesWritable.class);
  job.setOutputValueClass(Put.class);
  job.setStrings("io.serializations", job.get("io.serializations"),
      MutationSerialization.class.getName(), ResultSerialization.class.getName());
  if (partitioner == HRegionPartitioner.class) {
    job.setPartitionerClass(HRegionPartitioner.class);
    int regions =
      MetaTableAccessor.getRegionCount(HBaseConfiguration.create(job), TableName.valueOf(table));
    if (job.getNumReduceTasks() > regions) {
      job.setNumReduceTasks(regions);
    }
  } else if (partitioner != null) {
    job.setPartitionerClass(partitioner);
  }
  if (addDependencyJars) {
    addDependencyJars(job);
  }
  initCredentials(job);
}
 
Example 2
Source Project: kylin-on-parquet-v2   Source File: HFileOutputFormat3.java    License: Apache License 2.0 5 votes vote down vote up
static void configureIncrementalLoad(Job job, HTableDescriptor tableDescriptor, RegionLocator regionLocator,
        Class<? extends OutputFormat<?, ?>> cls) throws IOException, UnsupportedEncodingException {
    Configuration conf = job.getConfiguration();
    job.setOutputKeyClass(ImmutableBytesWritable.class);
    job.setOutputValueClass(KeyValue.class);
    job.setOutputFormatClass(cls);

    // Based on the configured map output class, set the correct reducer to properly
    // sort the incoming values.
    // TODO it would be nice to pick one or the other of these formats.
    if (KeyValue.class.equals(job.getMapOutputValueClass())) {
        job.setReducerClass(KeyValueSortReducer.class);
    } else if (Put.class.equals(job.getMapOutputValueClass())) {
        job.setReducerClass(PutSortReducer.class);
    } else if (Text.class.equals(job.getMapOutputValueClass())) {
        job.setReducerClass(TextSortReducer.class);
    } else {
        LOG.warn("Unknown map output value type:" + job.getMapOutputValueClass());
    }

    conf.setStrings("io.serializations", conf.get("io.serializations"), MutationSerialization.class.getName(),
            ResultSerialization.class.getName(), KeyValueSerialization.class.getName());

    // Use table's region boundaries for TOP split points.
    LOG.info("Looking up current regions for table " + tableDescriptor.getTableName());
    List<ImmutableBytesWritable> startKeys = getRegionStartKeys(regionLocator);
    LOG.info("Configuring " + startKeys.size() + " reduce partitions " + "to match current region count");
    job.setNumReduceTasks(startKeys.size());

    configurePartitioner(job, startKeys);
    // Set compression algorithms based on column families
    configureCompression(conf, tableDescriptor);
    configureBloomType(tableDescriptor, conf);
    configureBlockSize(tableDescriptor, conf);
    configureDataBlockEncoding(tableDescriptor, conf);

    TableMapReduceUtil.addDependencyJars(job);
    TableMapReduceUtil.initCredentials(job);
    LOG.info("Incremental table " + regionLocator.getName() + " output configured.");
}
 
Example 3
Source Project: hbase   Source File: TableMapReduceUtil.java    License: Apache License 2.0 5 votes vote down vote up
/**
 * Use this before submitting a TableMap job. It will
 * appropriately set up the JobConf.
 *
 * @param table  The table name to read from.
 * @param columns  The columns to scan.
 * @param mapper  The mapper class to use.
 * @param outputKeyClass  The class of the output key.
 * @param outputValueClass  The class of the output value.
 * @param job  The current job configuration to adjust.
 * @param addDependencyJars upload HBase jars and jars for any of the configured
 *           job classes via the distributed cache (tmpjars).
 */
public static void initTableMapJob(String table, String columns,
  Class<? extends TableMap> mapper,
  Class<?> outputKeyClass,
  Class<?> outputValueClass, JobConf job, boolean addDependencyJars,
  Class<? extends InputFormat> inputFormat) {

  job.setInputFormat(inputFormat);
  job.setMapOutputValueClass(outputValueClass);
  job.setMapOutputKeyClass(outputKeyClass);
  job.setMapperClass(mapper);
  job.setStrings("io.serializations", job.get("io.serializations"),
      MutationSerialization.class.getName(), ResultSerialization.class.getName());
  FileInputFormat.addInputPaths(job, table);
  job.set(TableInputFormat.COLUMN_LIST, columns);
  if (addDependencyJars) {
    try {
      addDependencyJars(job);
    } catch (IOException e) {
      LOG.error("IOException encountered while adding dependency jars", e);
    }
  }
  try {
    initCredentials(job);
  } catch (IOException ioe) {
    // just spit out the stack trace?  really?
    LOG.error("IOException encountered while initializing credentials", ioe);
  }
}
 
Example 4
Source Project: kylin   Source File: HFileOutputFormat3.java    License: Apache License 2.0 4 votes vote down vote up
static void configureIncrementalLoad(Job job, HTableDescriptor tableDescriptor, RegionLocator regionLocator,
        Class<? extends OutputFormat<?, ?>> cls) throws IOException, UnsupportedEncodingException {
    Configuration conf = job.getConfiguration();
    job.setOutputKeyClass(ImmutableBytesWritable.class);
    job.setOutputValueClass(KeyValue.class);
    job.setOutputFormatClass(cls);

    // Based on the configured map output class, set the correct reducer to properly
    // sort the incoming values.
    // TODO it would be nice to pick one or the other of these formats.
    if (KeyValue.class.equals(job.getMapOutputValueClass())) {
        job.setReducerClass(KeyValueSortReducer.class);
    } else if (Put.class.equals(job.getMapOutputValueClass())) {
        job.setReducerClass(PutSortReducer.class);
    } else if (Text.class.equals(job.getMapOutputValueClass())) {
        job.setReducerClass(TextSortReducer.class);
    } else {
        LOG.warn("Unknown map output value type:" + job.getMapOutputValueClass());
    }

    conf.setStrings("io.serializations", conf.get("io.serializations"), MutationSerialization.class.getName(),
            ResultSerialization.class.getName(), KeyValueSerialization.class.getName());

    if (conf.getBoolean(LOCALITY_SENSITIVE_CONF_KEY, DEFAULT_LOCALITY_SENSITIVE)) {
        // record this table name for creating writer by favored nodes
        LOG.info("bulkload locality sensitive enabled");
        conf.set(OUTPUT_TABLE_NAME_CONF_KEY, regionLocator.getName().getNameAsString());
    }
    
    // Use table's region boundaries for TOP split points.
    LOG.info("Looking up current regions for table " + tableDescriptor.getTableName());
    List<ImmutableBytesWritable> startKeys = getRegionStartKeys(regionLocator);
    LOG.info("Configuring " + startKeys.size() + " reduce partitions " + "to match current region count");
    job.setNumReduceTasks(startKeys.size());

    configurePartitioner(job, startKeys);
    // Set compression algorithms based on column families
    configureCompression(conf, tableDescriptor);
    configureBloomType(tableDescriptor, conf);
    configureBlockSize(tableDescriptor, conf);
    configureDataBlockEncoding(tableDescriptor, conf);

    TableMapReduceUtil.addDependencyJars(job);
    TableMapReduceUtil.initCredentials(job);
    LOG.info("Incremental table " + regionLocator.getName() + " output configured.");
}
 
Example 5
Source Project: phoenix   Source File: MultiHfileOutputFormat.java    License: Apache License 2.0 4 votes vote down vote up
/**
 * Configures the job for MultiHfileOutputFormat.
 * @param job
 * @param tablesToBeLoaded
 * @throws IOException
 */
@SuppressWarnings("deprecation")
public static void configureIncrementalLoad(Job job, List<TargetTableRef> tablesToBeLoaded) throws IOException {
    
    Configuration conf = job.getConfiguration();
    job.setOutputFormatClass(MultiHfileOutputFormat.class);
    conf.setStrings("io.serializations", conf.get("io.serializations"),
            MutationSerialization.class.getName(), ResultSerialization.class.getName(),
            KeyValueSerialization.class.getName());

    // tableStartKeys for all tables.
    Set<TableRowkeyPair> tablesStartKeys = Sets.newTreeSet();
    for(TargetTableRef table : tablesToBeLoaded) {
       final String tableName = table.getPhysicalName();
       try(Connection hbaseConn = ConnectionFactory.createConnection(conf);){
            Set<TableRowkeyPair> startKeys =
                    getRegionStartKeys(tableName,
                        hbaseConn.getRegionLocator(TableName.valueOf(tableName)));
           tablesStartKeys.addAll(startKeys);
           TableDescriptor tableDescriptor = hbaseConn.getTable(TableName.valueOf(tableName)).getDescriptor();
           String compressionConfig = configureCompression(tableDescriptor);
           String bloomTypeConfig = configureBloomType(tableDescriptor);
           String blockSizeConfig = configureBlockSize(tableDescriptor);
           String blockEncodingConfig = configureDataBlockEncoding(tableDescriptor);
           Map<String,String> tableConfigs = Maps.newHashMap();
           if(StringUtils.isNotBlank(compressionConfig)) {
               tableConfigs.put(COMPRESSION_FAMILIES_CONF_KEY, compressionConfig);
           }
           if(StringUtils.isNotBlank(bloomTypeConfig)) {
               tableConfigs.put(BLOOM_TYPE_FAMILIES_CONF_KEY,bloomTypeConfig);
           }
           if(StringUtils.isNotBlank(blockSizeConfig)) {
               tableConfigs.put(BLOCK_SIZE_FAMILIES_CONF_KEY,blockSizeConfig);
           }
           if(StringUtils.isNotBlank(blockEncodingConfig)) {
               tableConfigs.put(DATABLOCK_ENCODING_FAMILIES_CONF_KEY,blockEncodingConfig);
           }
           table.setConfiguration(tableConfigs);
           final String tableDefns = TargetTableRefFunctions.TO_JSON.apply(table);
           // set the table definition in the config to be used during the RecordWriter..
           conf.set(tableName, tableDefns);
           
           TargetTableRef tbl = TargetTableRefFunctions.FROM_JSON.apply(tableDefns);
           LOGGER.info(" the table logical name is "+ tbl.getLogicalName());
       }
   }

   LOGGER.info("Configuring " + tablesStartKeys.size() + " reduce partitions to match current region count");
   job.setNumReduceTasks(tablesStartKeys.size());

   configurePartitioner(job, tablesStartKeys);
   TableMapReduceUtil.addDependencyJars(job);
   TableMapReduceUtil.initCredentials(job);
    
}