Java Code Examples for org.apache.flink.streaming.api.graph.StreamEdge#getPartitioner()

The following examples show how to use org.apache.flink.streaming.api.graph.StreamEdge#getPartitioner() . 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: StreamTask.java    From Flink-CEPplus with Apache License 2.0 6 votes vote down vote up 
private static <OUT> RecordWriter<SerializationDelegate<StreamRecord<OUT>>> createRecordWriter(
		StreamEdge edge,
		int outputIndex,
		Environment environment,
		String taskName,
		long bufferTimeout) {
	@SuppressWarnings("unchecked")
	StreamPartitioner<OUT> outputPartitioner = (StreamPartitioner<OUT>) edge.getPartitioner();

	LOG.debug("Using partitioner {} for output {} of task {}", outputPartitioner, outputIndex, taskName);

	ResultPartitionWriter bufferWriter = environment.getWriter(outputIndex);

	// we initialize the partitioner here with the number of key groups (aka max. parallelism)
	if (outputPartitioner instanceof ConfigurableStreamPartitioner) {
		int numKeyGroups = bufferWriter.getNumTargetKeyGroups();
		if (0 < numKeyGroups) {
			((ConfigurableStreamPartitioner) outputPartitioner).configure(numKeyGroups);
		}
	}

	RecordWriter<SerializationDelegate<StreamRecord<OUT>>> output =
		RecordWriter.createRecordWriter(bufferWriter, outputPartitioner, bufferTimeout, taskName);
	output.setMetricGroup(environment.getMetricGroup().getIOMetricGroup());
	return output;
}
Example 2
Source File: DataStreamTest.java    From Flink-CEPplus with Apache License 2.0 5 votes vote down vote up 
private static boolean isPartitioned(List<StreamEdge> edges) {
	boolean result = true;
	for (StreamEdge edge: edges) {
		if (!(edge.getPartitioner() instanceof KeyGroupStreamPartitioner)) {
			result = false;
		}
	}
	return result;
}
Example 3
Source File: DataStreamTest.java    From Flink-CEPplus with Apache License 2.0 5 votes vote down vote up 
private static boolean isCustomPartitioned(List<StreamEdge> edges) {
	boolean result = true;
	for (StreamEdge edge: edges) {
		if (!(edge.getPartitioner() instanceof CustomPartitionerWrapper)) {
			result = false;
		}
	}
	return result;
}
Example 4
Source File: StreamTask.java    From flink with Apache License 2.0 5 votes vote down vote up 
private static <OUT> RecordWriter<SerializationDelegate<StreamRecord<OUT>>> createRecordWriter(
		StreamEdge edge,
		int outputIndex,
		Environment environment,
		String taskName,
		long bufferTimeout) {
	@SuppressWarnings("unchecked")
	StreamPartitioner<OUT> outputPartitioner = (StreamPartitioner<OUT>) edge.getPartitioner();

	LOG.debug("Using partitioner {} for output {} of task {}", outputPartitioner, outputIndex, taskName);

	ResultPartitionWriter bufferWriter = environment.getWriter(outputIndex);

	// we initialize the partitioner here with the number of key groups (aka max. parallelism)
	if (outputPartitioner instanceof ConfigurableStreamPartitioner) {
		int numKeyGroups = bufferWriter.getNumTargetKeyGroups();
		if (0 < numKeyGroups) {
			((ConfigurableStreamPartitioner) outputPartitioner).configure(numKeyGroups);
		}
	}

	RecordWriter<SerializationDelegate<StreamRecord<OUT>>> output = new RecordWriterBuilder()
		.setChannelSelector(outputPartitioner)
		.setTimeout(bufferTimeout)
		.setTaskName(taskName)
		.build(bufferWriter);
	output.setMetricGroup(environment.getMetricGroup().getIOMetricGroup());
	return output;
}
Example 5
Source File: DataStreamTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
private static boolean isPartitioned(List<StreamEdge> edges) {
	boolean result = true;
	for (StreamEdge edge: edges) {
		if (!(edge.getPartitioner() instanceof KeyGroupStreamPartitioner)) {
			result = false;
		}
	}
	return result;
}
Example 6
Source File: DataStreamTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
private static boolean isCustomPartitioned(List<StreamEdge> edges) {
	boolean result = true;
	for (StreamEdge edge: edges) {
		if (!(edge.getPartitioner() instanceof CustomPartitionerWrapper)) {
			result = false;
		}
	}
	return result;
}
Example 7
Source File: StreamTask.java    From flink with Apache License 2.0 5 votes vote down vote up 
private static <OUT> RecordWriter<SerializationDelegate<StreamRecord<OUT>>> createRecordWriter(
		StreamEdge edge,
		int outputIndex,
		Environment environment,
		String taskName,
		long bufferTimeout) {
	@SuppressWarnings("unchecked")
	StreamPartitioner<OUT> outputPartitioner = (StreamPartitioner<OUT>) edge.getPartitioner();

	LOG.debug("Using partitioner {} for output {} of task {}", outputPartitioner, outputIndex, taskName);

	ResultPartitionWriter bufferWriter = environment.getWriter(outputIndex);

	// we initialize the partitioner here with the number of key groups (aka max. parallelism)
	if (outputPartitioner instanceof ConfigurableStreamPartitioner) {
		int numKeyGroups = bufferWriter.getNumTargetKeyGroups();
		if (0 < numKeyGroups) {
			((ConfigurableStreamPartitioner) outputPartitioner).configure(numKeyGroups);
		}
	}

	RecordWriter<SerializationDelegate<StreamRecord<OUT>>> output = new RecordWriterBuilder<SerializationDelegate<StreamRecord<OUT>>>()
		.setChannelSelector(outputPartitioner)
		.setTimeout(bufferTimeout)
		.setTaskName(taskName)
		.build(bufferWriter);
	output.setMetricGroup(environment.getMetricGroup().getIOMetricGroup());
	return output;
}
Example 8
Source File: DataStreamTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
private static boolean isPartitioned(List<StreamEdge> edges) {
	boolean result = true;
	for (StreamEdge edge: edges) {
		if (!(edge.getPartitioner() instanceof KeyGroupStreamPartitioner)) {
			result = false;
		}
	}
	return result;
}
Example 9
Source File: DataStreamTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
private static boolean isCustomPartitioned(List<StreamEdge> edges) {
	boolean result = true;
	for (StreamEdge edge: edges) {
		if (!(edge.getPartitioner() instanceof CustomPartitionerWrapper)) {
			result = false;
		}
	}
	return result;
}