Java ImmutableBytesWritable類代碼示例

import org.apache.hadoop.hbase.io.ImmutableBytesWritable; //導入依賴的package包/類
@Override
public void map(ImmutableBytesWritable key, Result value,
    OutputCollector<NullWritable,NullWritable> output,
    Reporter reporter) throws IOException {
  for (Cell cell : value.listCells()) {
    reporter.getCounter(TestTableInputFormat.class.getName() + ":row",
        Bytes.toString(cell.getRowArray(), cell.getRowOffset(), cell.getRowLength()))
        .increment(1l);
    reporter.getCounter(TestTableInputFormat.class.getName() + ":family",
        Bytes.toString(cell.getFamilyArray(), cell.getFamilyOffset(), cell.getFamilyLength()))
        .increment(1l);
    reporter.getCounter(TestTableInputFormat.class.getName() + ":value",
        Bytes.toString(cell.getValueArray(), cell.getValueOffset(), cell.getValueLength()))
        .increment(1l);
  }
}
 

import org.apache.hadoop.hbase.io.ImmutableBytesWritable; //導入依賴的package包/類
@Override
public void map(LongWritable key, SqoopRecord val, Context context)
    throws IOException, InterruptedException {
  try {
    // Loading of LOBs was delayed until we have a Context.
    val.loadLargeObjects(lobLoader);
  } catch (SQLException sqlE) {
    throw new IOException(sqlE);
  }
  Map<String, Object> fields = val.getFieldMap();

  List<Put> putList = putTransformer.getPutCommand(fields);
  for(Put put: putList){
    context.write(new ImmutableBytesWritable(put.getRow()), put);
  }
}
 

import org.apache.hadoop.hbase.io.ImmutableBytesWritable; //導入依賴的package包/類
public int getPartition(ImmutableBytesWritable key, V2 value, int numPartitions) {
  byte[] region = null;
  // Only one region return 0
  if (this.startKeys.length == 1){
    return 0;
  }
  try {
    // Not sure if this is cached after a split so we could have problems
    // here if a region splits while mapping
    region = locator.getRegionLocation(key.get()).getRegionInfo().getStartKey();
  } catch (IOException e) {
    LOG.error(e);
  }
  for (int i = 0; i < this.startKeys.length; i++){
    if (Bytes.compareTo(region, this.startKeys[i]) == 0 ){
      if (i >= numPartitions-1){
        // cover if we have less reduces then regions.
        return (Integer.toString(i).hashCode()
            & Integer.MAX_VALUE) % numPartitions;
      }
      return i;
    }
  }
  // if above fails to find start key that match we need to return something
  return 0;
}
 

import org.apache.hadoop.hbase.io.ImmutableBytesWritable; //導入依賴的package包/類
/**
 * @param args
 * @return the JobConf
 * @throws IOException
 */
public JobConf createSubmittableJob(String[] args) throws IOException {
  JobConf c = new JobConf(getConf(), getClass());
  c.setJobName(NAME);
  // Columns are space delimited
  StringBuilder sb = new StringBuilder();
  final int columnoffset = 2;
  for (int i = columnoffset; i < args.length; i++) {
    if (i > columnoffset) {
      sb.append(" ");
    }
    sb.append(args[i]);
  }
  // Second argument is the table name.
  TableMapReduceUtil.initTableMapJob(args[1], sb.toString(),
    RowCounterMapper.class, ImmutableBytesWritable.class, Result.class, c);
  c.setNumReduceTasks(0);
  // First arg is the output directory.
  FileOutputFormat.setOutputPath(c, new Path(args[0]));
  return c;
}
 

import org.apache.hadoop.hbase.io.ImmutableBytesWritable; //導入依賴的package包/類
/**
 * Pass the key, and reversed value to reduce
 *
 * @param key
 * @param value
 * @param context
 * @throws IOException
 */
public void map(ImmutableBytesWritable key, Result value,
  Context context)
throws IOException, InterruptedException {
  if (value.size() != 1) {
    throw new IOException("There should only be one input column");
  }
  Map<byte[], NavigableMap<byte[], NavigableMap<Long, byte[]>>>
    cf = value.getMap();
  if(!cf.containsKey(INPUT_FAMILY)) {
    throw new IOException("Wrong input columns. Missing: '" +
      Bytes.toString(INPUT_FAMILY) + "'.");
  }

  // Get the original value and reverse it
  String originalValue = Bytes.toString(value.getValue(INPUT_FAMILY, null));
  StringBuilder newValue = new StringBuilder(originalValue);
  newValue.reverse();
  // Now set the value to be collected
  Put outval = new Put(key.get());
  outval.add(OUTPUT_FAMILY, null, Bytes.toBytes(newValue.toString()));
  context.write(key, outval);
}
 

import org.apache.hadoop.hbase.io.ImmutableBytesWritable; //導入依賴的package包/類
/**
 * 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);
}
 

import org.apache.hadoop.hbase.io.ImmutableBytesWritable; //導入依賴的package包/類
/**
 * Write random values to the writer assuming a table created using
 * {@link #FAMILIES} as column family descriptors
 */
private void writeRandomKeyValues(RecordWriter<ImmutableBytesWritable, KeyValue> writer,
    TaskAttemptContext context, Set<byte[]> families, int numRows)
    throws IOException, InterruptedException {
  byte keyBytes[] = new byte[Bytes.SIZEOF_INT];
  int valLength = 10;
  byte valBytes[] = new byte[valLength];

  int taskId = context.getTaskAttemptID().getTaskID().getId();
  assert taskId < Byte.MAX_VALUE : "Unit tests dont support > 127 tasks!";
  final byte [] qualifier = Bytes.toBytes("data");
  Random random = new Random();
  for (int i = 0; i < numRows; i++) {

    Bytes.putInt(keyBytes, 0, i);
    random.nextBytes(valBytes);
    ImmutableBytesWritable key = new ImmutableBytesWritable(keyBytes);

    for (byte[] family : families) {
      KeyValue kv = new KeyValue(keyBytes, family, qualifier, valBytes);
      writer.write(key, kv);
    }
  }
}
 

import org.apache.hadoop.hbase.io.ImmutableBytesWritable; //導入依賴的package包/類
/**
 * Read the next key/hash pair.
 * Returns true if such a pair exists and false when at the end of the data.
 */
public boolean next() throws IOException {
  if (cachedNext) {
    cachedNext = false;
    return true;
  }
  key = new ImmutableBytesWritable();
  hash = new ImmutableBytesWritable();
  while (true) {
    boolean hasNext = mapFileReader.next(key, hash);
    if (hasNext) {
      return true;
    }
    hashFileIndex++;
    if (hashFileIndex < TableHash.this.numHashFiles) {
      mapFileReader.close();
      openHashFile();
    } else {
      key = null;
      hash = null;
      return false;
    }
  }
}
 

import org.apache.hadoop.hbase.io.ImmutableBytesWritable; //導入依賴的package包/類
@Override
protected void map(ImmutableBytesWritable rowKey, Result result, Context context)
    throws IOException, InterruptedException {
  for(java.util.Map.Entry<byte[], ImmutableBytesWritable> index : indexes.entrySet()) {
    byte[] qualifier = index.getKey();
    ImmutableBytesWritable tableName = index.getValue();
    byte[] value = result.getValue(family, qualifier);
    if (value != null) {
      // original: row 123 attribute:phone 555-1212
      // index: row 555-1212 INDEX:ROW 123
      Put put = new Put(value);
      put.add(INDEX_COLUMN, INDEX_QUALIFIER, rowKey.get());
      context.write(tableName, put);
    }
  }
}
 

import org.apache.hadoop.hbase.io.ImmutableBytesWritable; //導入依賴的package包/類
@Override
protected void setup(Context context) throws IOException,
    InterruptedException {
  Configuration configuration = context.getConfiguration();
  String tableName = configuration.get("index.tablename");
  String[] fields = configuration.getStrings("index.fields");
  String familyName = configuration.get("index.familyname");
  family = Bytes.toBytes(familyName);
  indexes = new TreeMap<byte[], ImmutableBytesWritable>(Bytes.BYTES_COMPARATOR);
  for(String field : fields) {
    // if the table is "people" and the field to index is "email", then the
    // index table will be called "people-email"
    indexes.put(Bytes.toBytes(field),
        new ImmutableBytesWritable(Bytes.toBytes(tableName + "-" + field)));
  }
}
 

import org.apache.hadoop.hbase.io.ImmutableBytesWritable; //導入依賴的package包/類
@Override
protected void map(ImmutableBytesWritable key, Result value, Context context)
    throws IOException, InterruptedException {
  BytesWritable bwKey = new BytesWritable(key.get());
  BytesWritable bwVal = new BytesWritable();
  for (Cell kv : value.listCells()) {
    if (Bytes.compareTo(TEST_QUALIFIER, 0, TEST_QUALIFIER.length,
                        kv.getQualifierArray(), kv.getQualifierOffset(), kv.getQualifierLength()) == 0) {
      context.write(bwKey, EMPTY);
    } else {
      bwVal.set(kv.getQualifierArray(), kv.getQualifierOffset(), kv.getQualifierLength());
      context.write(bwVal, bwKey);
    }
  }
}
 

import org.apache.hadoop.hbase.io.ImmutableBytesWritable; //導入依賴的package包/類
@Override
protected void map(ImmutableBytesWritable key, Result value, Context context)
    throws IOException, InterruptedException {
  try {
    // first, finish any hash batches that end before the scanned row
    while (nextSourceKey != null && key.compareTo(nextSourceKey) >= 0) {
      moveToNextBatch(context);
    }
    
    // next, add the scanned row (as long as we've reached the first batch)
    if (targetHasher.isBatchStarted()) {
      targetHasher.hashResult(value);
    }
  } catch (Throwable t) {
    mapperException = t;
    Throwables.propagateIfInstanceOf(t, IOException.class);
    Throwables.propagateIfInstanceOf(t, InterruptedException.class);
    Throwables.propagate(t);
  }
}
 

import org.apache.hadoop.hbase.io.ImmutableBytesWritable; //導入依賴的package包/類
/**
 * Write random values to the writer assuming a table created using
 * {@link #FAMILIES} as column family descriptors
 */
private void writeRandomKeyValues(RecordWriter<ImmutableBytesWritable, Cell> writer,
    TaskAttemptContext context, Set<byte[]> families, int numRows)
    throws IOException, InterruptedException {
  byte keyBytes[] = new byte[Bytes.SIZEOF_INT];
  int valLength = 10;
  byte valBytes[] = new byte[valLength];

  int taskId = context.getTaskAttemptID().getTaskID().getId();
  assert taskId < Byte.MAX_VALUE : "Unit tests dont support > 127 tasks!";
  final byte [] qualifier = Bytes.toBytes("data");
  Random random = new Random();
  for (int i = 0; i < numRows; i++) {

    Bytes.putInt(keyBytes, 0, i);
    random.nextBytes(valBytes);
    ImmutableBytesWritable key = new ImmutableBytesWritable(keyBytes);

    for (byte[] family : families) {
      Cell kv = new KeyValue(keyBytes, family, qualifier, valBytes);
      writer.write(key, kv);
    }
  }
}
 

import org.apache.hadoop.hbase.io.ImmutableBytesWritable; //導入依賴的package包/類
/**
 * Check if the table has an attached co-processor represented by the name className
 *
 * @param classNameToMatch - Class name of the co-processor
 * @return true of the table has a co-processor className
 */
public boolean hasCoprocessor(String classNameToMatch) {
  Matcher keyMatcher;
  Matcher valueMatcher;
  for (Map.Entry<ImmutableBytesWritable, ImmutableBytesWritable> e:
      this.values.entrySet()) {
    keyMatcher =
        HConstants.CP_HTD_ATTR_KEY_PATTERN.matcher(
            Bytes.toString(e.getKey().get()));
    if (!keyMatcher.matches()) {
      continue;
    }
    String className = getCoprocessorClassNameFromSpecStr(Bytes.toString(e.getValue().get()));
    if (className == null) continue;
    if (className.equals(classNameToMatch.trim())) {
      return true;
    }
  }
  return false;
}
 

import org.apache.hadoop.hbase.io.ImmutableBytesWritable; //導入依賴的package包/類
@Override
protected void testWithMockedMapReduce(HBaseTestingUtility util, String snapshotName,
    int numRegions, int expectedNumSplits) throws Exception {
  setupCluster();
  TableName tableName = TableName.valueOf("testWithMockedMapReduce");
  try {
    createTableAndSnapshot(
      util, tableName, snapshotName, getStartRow(), getEndRow(), numRegions);

    JobConf job = new JobConf(util.getConfiguration());
    Path tmpTableDir = util.getRandomDir();

    TableMapReduceUtil.initTableSnapshotMapJob(snapshotName,
      COLUMNS, TestTableSnapshotMapper.class, ImmutableBytesWritable.class,
      NullWritable.class, job, false, tmpTableDir);

    // mapred doesn't support start and end keys? o.O
    verifyWithMockedMapReduce(job, numRegions, expectedNumSplits, getStartRow(), getEndRow());

  } finally {
    util.getHBaseAdmin().deleteSnapshot(snapshotName);
    util.deleteTable(tableName);
    tearDownCluster();
  }
}