Java Code Examples for org.apache.hadoop.mapreduce.split.JobSplit.TaskSplitIndex#getSplitLocation()

The following examples show how to use org.apache.hadoop.mapreduce.split.JobSplit.TaskSplitIndex#getSplitLocation() . 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 File: MRInputUtils.java    From incubator-tez with Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
public static org.apache.hadoop.mapreduce.InputSplit getNewSplitDetailsFromDisk(
    TaskSplitIndex splitMetaInfo, JobConf jobConf, TezCounter splitBytesCounter)
    throws IOException {
  Path file = new Path(splitMetaInfo.getSplitLocation());
  long offset = splitMetaInfo.getStartOffset();

  // Split information read from local filesystem.
  FileSystem fs = FileSystem.getLocal(jobConf);
  file = fs.makeQualified(file);
  LOG.info("Reading input split file from : " + file);
  FSDataInputStream inFile = fs.open(file);
  inFile.seek(offset);
  String className = Text.readString(inFile);
  Class<org.apache.hadoop.mapreduce.InputSplit> cls;
  try {
    cls = (Class<org.apache.hadoop.mapreduce.InputSplit>) jobConf.getClassByName(className);
  } catch (ClassNotFoundException ce) {
    IOException wrap = new IOException("Split class " + className + " not found");
    wrap.initCause(ce);
    throw wrap;
  }
  SerializationFactory factory = new SerializationFactory(jobConf);
  Deserializer<org.apache.hadoop.mapreduce.InputSplit> deserializer = (Deserializer<org.apache.hadoop.mapreduce.InputSplit>) factory
      .getDeserializer(cls);
  deserializer.open(inFile);
  org.apache.hadoop.mapreduce.InputSplit split = deserializer.deserialize(null);
  long pos = inFile.getPos();
  if (splitBytesCounter != null) {
    splitBytesCounter.increment(pos - offset);
  }
  inFile.close();
  return split;
}
Example 2
Source File: MRInputUtils.java    From incubator-tez with Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
public static InputSplit getOldSplitDetailsFromDisk(TaskSplitIndex splitMetaInfo,
    JobConf jobConf, TezCounter splitBytesCounter) throws IOException {
  Path file = new Path(splitMetaInfo.getSplitLocation());
  FileSystem fs = FileSystem.getLocal(jobConf);
  file = fs.makeQualified(file);
  LOG.info("Reading input split file from : " + file);
  long offset = splitMetaInfo.getStartOffset();

  FSDataInputStream inFile = fs.open(file);
  inFile.seek(offset);
  String className = Text.readString(inFile);
  Class<org.apache.hadoop.mapred.InputSplit> cls;
  try {
    cls = (Class<org.apache.hadoop.mapred.InputSplit>) jobConf.getClassByName(className);
  } catch (ClassNotFoundException ce) {
    IOException wrap = new IOException("Split class " + className + " not found");
    wrap.initCause(ce);
    throw wrap;
  }
  SerializationFactory factory = new SerializationFactory(jobConf);
  Deserializer<org.apache.hadoop.mapred.InputSplit> deserializer = (Deserializer<org.apache.hadoop.mapred.InputSplit>) factory
      .getDeserializer(cls);
  deserializer.open(inFile);
  org.apache.hadoop.mapred.InputSplit split = deserializer.deserialize(null);
  long pos = inFile.getPos();
  if (splitBytesCounter != null) {
    splitBytesCounter.increment(pos - offset);
  }
  inFile.close();
  return split;
}
Example 3
Source File: MRInputUtils.java    From tez with Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
public static org.apache.hadoop.mapreduce.InputSplit getNewSplitDetailsFromDisk(
    TaskSplitIndex splitMetaInfo, JobConf jobConf, TezCounter splitBytesCounter)
    throws IOException {
  Path file = new Path(splitMetaInfo.getSplitLocation());
  long offset = splitMetaInfo.getStartOffset();

  // Split information read from local filesystem.
  FileSystem fs = FileSystem.getLocal(jobConf);
  file = fs.makeQualified(file);
  LOG.info("Reading input split file from : " + file);
  FSDataInputStream inFile = fs.open(file);
  inFile.seek(offset);
  String className = Text.readString(inFile);
  Class<org.apache.hadoop.mapreduce.InputSplit> cls;
  try {
    cls = (Class<org.apache.hadoop.mapreduce.InputSplit>) jobConf.getClassByName(className);
  } catch (ClassNotFoundException ce) {
    IOException wrap = new IOException("Split class " + className + " not found");
    wrap.initCause(ce);
    throw wrap;
  }
  SerializationFactory factory = new SerializationFactory(jobConf);
  Deserializer<org.apache.hadoop.mapreduce.InputSplit> deserializer = (Deserializer<org.apache.hadoop.mapreduce.InputSplit>) factory
      .getDeserializer(cls);
  deserializer.open(inFile);
  org.apache.hadoop.mapreduce.InputSplit split = deserializer.deserialize(null);
  long pos = inFile.getPos();
  if (splitBytesCounter != null) {
    splitBytesCounter.increment(pos - offset);
  }
  inFile.close();
  return split;
}
Example 4
Source File: MRInputUtils.java    From tez with Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
public static InputSplit getOldSplitDetailsFromDisk(TaskSplitIndex splitMetaInfo,
    JobConf jobConf, TezCounter splitBytesCounter) throws IOException {
  Path file = new Path(splitMetaInfo.getSplitLocation());
  FileSystem fs = FileSystem.getLocal(jobConf);
  file = fs.makeQualified(file);
  LOG.info("Reading input split file from : " + file);
  long offset = splitMetaInfo.getStartOffset();

  FSDataInputStream inFile = fs.open(file);
  inFile.seek(offset);
  String className = Text.readString(inFile);
  Class<org.apache.hadoop.mapred.InputSplit> cls;
  try {
    cls = (Class<org.apache.hadoop.mapred.InputSplit>) jobConf.getClassByName(className);
  } catch (ClassNotFoundException ce) {
    IOException wrap = new IOException("Split class " + className + " not found");
    wrap.initCause(ce);
    throw wrap;
  }
  SerializationFactory factory = new SerializationFactory(jobConf);
  Deserializer<org.apache.hadoop.mapred.InputSplit> deserializer = (Deserializer<org.apache.hadoop.mapred.InputSplit>) factory
      .getDeserializer(cls);
  deserializer.open(inFile);
  org.apache.hadoop.mapred.InputSplit split = deserializer.deserialize(null);
  long pos = inFile.getPos();
  if (splitBytesCounter != null) {
    splitBytesCounter.increment(pos - offset);
  }
  inFile.close();
  return split;
}