org.apache.flink.api.java.hadoop.mapreduce.wrapper.HadoopInputSplit Java Examples

The following examples show how to use org.apache.flink.api.java.hadoop.mapreduce.wrapper.HadoopInputSplit. 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: HadoopInputFormatBase.java    From Flink-CEPplus with Apache License 2.0 6 votes vote down vote up 
@Override
public void open(HadoopInputSplit split) throws IOException {

	// enforce sequential open() calls
	synchronized (OPEN_MUTEX) {

		TaskAttemptContext context = new TaskAttemptContextImpl(configuration, new TaskAttemptID());

		try {
			this.recordReader = this.mapreduceInputFormat
					.createRecordReader(split.getHadoopInputSplit(), context);
			this.recordReader.initialize(split.getHadoopInputSplit(), context);
		} catch (InterruptedException e) {
			throw new IOException("Could not create RecordReader.", e);
		} finally {
			this.fetched = false;
		}
	}
}
Example #2
Source File: HCatInputFormatBase.java    From flink with Apache License 2.0 6 votes vote down vote up 
@Override
public HadoopInputSplit[] createInputSplits(int minNumSplits)
		throws IOException {
	configuration.setInt("mapreduce.input.fileinputformat.split.minsize", minNumSplits);

	JobContext jobContext = new JobContextImpl(configuration, new JobID());

	List<InputSplit> splits;
	try {
		splits = this.hCatInputFormat.getSplits(jobContext);
	} catch (InterruptedException e) {
		throw new IOException("Could not get Splits.", e);
	}
	HadoopInputSplit[] hadoopInputSplits = new HadoopInputSplit[splits.size()];

	for (int i = 0; i < hadoopInputSplits.length; i++){
		hadoopInputSplits[i] = new HadoopInputSplit(i, splits.get(i), jobContext);
	}
	return hadoopInputSplits;
}
Example #3
Source File: HCatInputFormatBase.java    From Flink-CEPplus with Apache License 2.0 6 votes vote down vote up 
@Override
public HadoopInputSplit[] createInputSplits(int minNumSplits)
		throws IOException {
	configuration.setInt("mapreduce.input.fileinputformat.split.minsize", minNumSplits);

	JobContext jobContext = new JobContextImpl(configuration, new JobID());

	List<InputSplit> splits;
	try {
		splits = this.hCatInputFormat.getSplits(jobContext);
	} catch (InterruptedException e) {
		throw new IOException("Could not get Splits.", e);
	}
	HadoopInputSplit[] hadoopInputSplits = new HadoopInputSplit[splits.size()];

	for (int i = 0; i < hadoopInputSplits.length; i++){
		hadoopInputSplits[i] = new HadoopInputSplit(i, splits.get(i), jobContext);
	}
	return hadoopInputSplits;
}
Example #4
Source File: HadoopInputFormatBase.java    From flink with Apache License 2.0 6 votes vote down vote up 
@Override
public void open(HadoopInputSplit split) throws IOException {

	// enforce sequential open() calls
	synchronized (OPEN_MUTEX) {

		TaskAttemptContext context = new TaskAttemptContextImpl(configuration, new TaskAttemptID());

		try {
			this.recordReader = this.mapreduceInputFormat
					.createRecordReader(split.getHadoopInputSplit(), context);
			this.recordReader.initialize(split.getHadoopInputSplit(), context);
		} catch (InterruptedException e) {
			throw new IOException("Could not create RecordReader.", e);
		} finally {
			this.fetched = false;
		}
	}
}
Example #5
Source File: HadoopInputFormatBase.java    From flink with Apache License 2.0 6 votes vote down vote up 
@Override
public HadoopInputSplit[] createInputSplits(int minNumSplits)
		throws IOException {
	configuration.setInt("mapreduce.input.fileinputformat.split.minsize", minNumSplits);

	JobContext jobContext = new JobContextImpl(configuration, new JobID());

	jobContext.getCredentials().addAll(this.credentials);
	Credentials currentUserCreds = getCredentialsFromUGI(UserGroupInformation.getCurrentUser());
	if (currentUserCreds != null) {
		jobContext.getCredentials().addAll(currentUserCreds);
	}

	List<org.apache.hadoop.mapreduce.InputSplit> splits;
	try {
		splits = this.mapreduceInputFormat.getSplits(jobContext);
	} catch (InterruptedException e) {
		throw new IOException("Could not get Splits.", e);
	}
	HadoopInputSplit[] hadoopInputSplits = new HadoopInputSplit[splits.size()];

	for (int i = 0; i < hadoopInputSplits.length; i++) {
		hadoopInputSplits[i] = new HadoopInputSplit(i, splits.get(i), jobContext);
	}
	return hadoopInputSplits;
}
Example #6
Source File: HadoopInputFormatBase.java    From flink with Apache License 2.0 6 votes vote down vote up 
@Override
public HadoopInputSplit[] createInputSplits(int minNumSplits)
		throws IOException {
	configuration.setInt("mapreduce.input.fileinputformat.split.minsize", minNumSplits);

	JobContext jobContext = new JobContextImpl(configuration, new JobID());

	jobContext.getCredentials().addAll(this.credentials);
	Credentials currentUserCreds = getCredentialsFromUGI(UserGroupInformation.getCurrentUser());
	if (currentUserCreds != null) {
		jobContext.getCredentials().addAll(currentUserCreds);
	}

	List<org.apache.hadoop.mapreduce.InputSplit> splits;
	try {
		splits = this.mapreduceInputFormat.getSplits(jobContext);
	} catch (InterruptedException e) {
		throw new IOException("Could not get Splits.", e);
	}
	HadoopInputSplit[] hadoopInputSplits = new HadoopInputSplit[splits.size()];

	for (int i = 0; i < hadoopInputSplits.length; i++) {
		hadoopInputSplits[i] = new HadoopInputSplit(i, splits.get(i), jobContext);
	}
	return hadoopInputSplits;
}
Example #7
Source File: HadoopInputFormatBase.java    From flink with Apache License 2.0 6 votes vote down vote up 
@Override
public void open(HadoopInputSplit split) throws IOException {

	// enforce sequential open() calls
	synchronized (OPEN_MUTEX) {

		TaskAttemptContext context = new TaskAttemptContextImpl(configuration, new TaskAttemptID());

		try {
			this.recordReader = this.mapreduceInputFormat
					.createRecordReader(split.getHadoopInputSplit(), context);
			this.recordReader.initialize(split.getHadoopInputSplit(), context);
		} catch (InterruptedException e) {
			throw new IOException("Could not create RecordReader.", e);
		} finally {
			this.fetched = false;
		}
	}
}
Example #8
Source File: HadoopInputFormatBase.java    From Flink-CEPplus with Apache License 2.0 6 votes vote down vote up 
@Override
public HadoopInputSplit[] createInputSplits(int minNumSplits)
		throws IOException {
	configuration.setInt("mapreduce.input.fileinputformat.split.minsize", minNumSplits);

	JobContext jobContext = new JobContextImpl(configuration, new JobID());

	jobContext.getCredentials().addAll(this.credentials);
	Credentials currentUserCreds = getCredentialsFromUGI(UserGroupInformation.getCurrentUser());
	if (currentUserCreds != null) {
		jobContext.getCredentials().addAll(currentUserCreds);
	}

	List<org.apache.hadoop.mapreduce.InputSplit> splits;
	try {
		splits = this.mapreduceInputFormat.getSplits(jobContext);
	} catch (InterruptedException e) {
		throw new IOException("Could not get Splits.", e);
	}
	HadoopInputSplit[] hadoopInputSplits = new HadoopInputSplit[splits.size()];

	for (int i = 0; i < hadoopInputSplits.length; i++) {
		hadoopInputSplits[i] = new HadoopInputSplit(i, splits.get(i), jobContext);
	}
	return hadoopInputSplits;
}
Example #9
Source File: HCatInputFormatBase.java    From flink with Apache License 2.0 6 votes vote down vote up 
@Override
public HadoopInputSplit[] createInputSplits(int minNumSplits)
		throws IOException {
	configuration.setInt("mapreduce.input.fileinputformat.split.minsize", minNumSplits);

	JobContext jobContext = new JobContextImpl(configuration, new JobID());

	List<InputSplit> splits;
	try {
		splits = this.hCatInputFormat.getSplits(jobContext);
	} catch (InterruptedException e) {
		throw new IOException("Could not get Splits.", e);
	}
	HadoopInputSplit[] hadoopInputSplits = new HadoopInputSplit[splits.size()];

	for (int i = 0; i < hadoopInputSplits.length; i++){
		hadoopInputSplits[i] = new HadoopInputSplit(i, splits.get(i), jobContext);
	}
	return hadoopInputSplits;
}
Example #10
Source File: HadoopInputFormatTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Test
public void testOpen() throws Exception {
	DummyInputFormat inputFormat = mock(DummyInputFormat.class);
	when(inputFormat.createRecordReader(nullable(InputSplit.class), any(TaskAttemptContext.class))).thenReturn(new DummyRecordReader());
	HadoopInputSplit inputSplit = mock(HadoopInputSplit.class);

	HadoopInputFormat<String, Long> hadoopInputFormat = setupHadoopInputFormat(inputFormat, Job.getInstance(), null);
	hadoopInputFormat.open(inputSplit);

	verify(inputFormat, times(1)).createRecordReader(nullable(InputSplit.class), any(TaskAttemptContext.class));
	assertThat(hadoopInputFormat.fetched, is(false));
}
Example #11
Source File: HCatInputFormatBase.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Override
public void open(HadoopInputSplit split) throws IOException {
	TaskAttemptContext context = new TaskAttemptContextImpl(configuration, new TaskAttemptID());

	try {
		this.recordReader = this.hCatInputFormat
				.createRecordReader(split.getHadoopInputSplit(), context);
		this.recordReader.initialize(split.getHadoopInputSplit(), context);
	} catch (InterruptedException e) {
		throw new IOException("Could not create RecordReader.", e);
	} finally {
		this.fetched = false;
	}
}
Example #12
Source File: HadoopInputFormatTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Test
public void testOpen() throws Exception {
	DummyInputFormat inputFormat = mock(DummyInputFormat.class);
	when(inputFormat.createRecordReader(nullable(InputSplit.class), any(TaskAttemptContext.class))).thenReturn(new DummyRecordReader());
	HadoopInputSplit inputSplit = mock(HadoopInputSplit.class);

	HadoopInputFormat<String, Long> hadoopInputFormat = setupHadoopInputFormat(inputFormat, Job.getInstance(), null);
	hadoopInputFormat.open(inputSplit);

	verify(inputFormat, times(1)).createRecordReader(nullable(InputSplit.class), any(TaskAttemptContext.class));
	assertThat(hadoopInputFormat.fetched, is(false));
}
Example #13
Source File: HCatInputFormatBase.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Override
public void open(HadoopInputSplit split) throws IOException {
	TaskAttemptContext context = new TaskAttemptContextImpl(configuration, new TaskAttemptID());

	try {
		this.recordReader = this.hCatInputFormat
				.createRecordReader(split.getHadoopInputSplit(), context);
		this.recordReader.initialize(split.getHadoopInputSplit(), context);
	} catch (InterruptedException e) {
		throw new IOException("Could not create RecordReader.", e);
	} finally {
		this.fetched = false;
	}
}
Example #14
Source File: HCatInputFormatBase.java    From Flink-CEPplus with Apache License 2.0 5 votes vote down vote up 
@Override
public void open(HadoopInputSplit split) throws IOException {
	TaskAttemptContext context = new TaskAttemptContextImpl(configuration, new TaskAttemptID());

	try {
		this.recordReader = this.hCatInputFormat
				.createRecordReader(split.getHadoopInputSplit(), context);
		this.recordReader.initialize(split.getHadoopInputSplit(), context);
	} catch (InterruptedException e) {
		throw new IOException("Could not create RecordReader.", e);
	} finally {
		this.fetched = false;
	}
}
Example #15
Source File: HadoopInputFormatTest.java    From Flink-CEPplus with Apache License 2.0 5 votes vote down vote up 
@Test
public void testOpen() throws Exception {
	DummyInputFormat inputFormat = mock(DummyInputFormat.class);
	when(inputFormat.createRecordReader(nullable(InputSplit.class), any(TaskAttemptContext.class))).thenReturn(new DummyRecordReader());
	HadoopInputSplit inputSplit = mock(HadoopInputSplit.class);

	HadoopInputFormat<String, Long> hadoopInputFormat = setupHadoopInputFormat(inputFormat, Job.getInstance(), null);
	hadoopInputFormat.open(inputSplit);

	verify(inputFormat, times(1)).createRecordReader(nullable(InputSplit.class), any(TaskAttemptContext.class));
	assertThat(hadoopInputFormat.fetched, is(false));
}
Example #16
Source File: HCatInputFormatBase.java    From flink with Apache License 2.0 4 votes vote down vote up 
@Override
public InputSplitAssigner getInputSplitAssigner(HadoopInputSplit[] inputSplits) {
	return new LocatableInputSplitAssigner(inputSplits);
}
Example #17
Source File: HadoopInputFormatBase.java    From flink with Apache License 2.0 4 votes vote down vote up 
@Override
public InputSplitAssigner getInputSplitAssigner(HadoopInputSplit[] inputSplits) {
	return new LocatableInputSplitAssigner(inputSplits);
}
Example #18
Source File: HadoopInputFormatBase.java    From flink with Apache License 2.0 4 votes vote down vote up 
@Override
public InputSplitAssigner getInputSplitAssigner(HadoopInputSplit[] inputSplits) {
	return new LocatableInputSplitAssigner(inputSplits);
}
Example #19
Source File: HCatInputFormatBase.java    From Flink-CEPplus with Apache License 2.0 4 votes vote down vote up 
@Override
public InputSplitAssigner getInputSplitAssigner(HadoopInputSplit[] inputSplits) {
	return new LocatableInputSplitAssigner(inputSplits);
}
Example #20
Source File: HCatInputFormatBase.java    From flink with Apache License 2.0 4 votes vote down vote up 
@Override
public InputSplitAssigner getInputSplitAssigner(HadoopInputSplit[] inputSplits) {
	return new LocatableInputSplitAssigner(inputSplits);
}
Example #21
Source File: HadoopInputFormatBase.java    From Flink-CEPplus with Apache License 2.0 4 votes vote down vote up 
@Override
public InputSplitAssigner getInputSplitAssigner(HadoopInputSplit[] inputSplits) {
	return new LocatableInputSplitAssigner(inputSplits);
}