Java Code Examples for org.apache.flink.streaming.api.functions.source.FromElementsFunction#checkCollection()

The following examples show how to use org.apache.flink.streaming.api.functions.source.FromElementsFunction#checkCollection() . 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: StreamExecutionEnvironment.java    From Flink-CEPplus with Apache License 2.0 6 votes vote down vote up 
/**
 * Creates a data stream from the given non-empty collection.
 *
 * <p>Note that this operation will result in a non-parallel data stream source,
 * i.e., a data stream source with parallelism one.
 *
 * @param data
 * 		The collection of elements to create the data stream from
 * @param typeInfo
 * 		The TypeInformation for the produced data stream
 * @param <OUT>
 * 		The type of the returned data stream
 * @return The data stream representing the given collection
 */
public <OUT> DataStreamSource<OUT> fromCollection(Collection<OUT> data, TypeInformation<OUT> typeInfo) {
	Preconditions.checkNotNull(data, "Collection must not be null");

	// must not have null elements and mixed elements
	FromElementsFunction.checkCollection(data, typeInfo.getTypeClass());

	SourceFunction<OUT> function;
	try {
		function = new FromElementsFunction<>(typeInfo.createSerializer(getConfig()), data);
	}
	catch (IOException e) {
		throw new RuntimeException(e.getMessage(), e);
	}
	return addSource(function, "Collection Source", typeInfo).setParallelism(1);
}
Example 2
Source File: StreamExecutionEnvironment.java    From flink with Apache License 2.0 6 votes vote down vote up 
/**
 * Creates a data stream from the given non-empty collection.
 *
 * <p>Note that this operation will result in a non-parallel data stream source,
 * i.e., a data stream source with parallelism one.
 *
 * @param data
 * 		The collection of elements to create the data stream from
 * @param typeInfo
 * 		The TypeInformation for the produced data stream
 * @param <OUT>
 * 		The type of the returned data stream
 * @return The data stream representing the given collection
 */
public <OUT> DataStreamSource<OUT> fromCollection(Collection<OUT> data, TypeInformation<OUT> typeInfo) {
	Preconditions.checkNotNull(data, "Collection must not be null");

	// must not have null elements and mixed elements
	FromElementsFunction.checkCollection(data, typeInfo.getTypeClass());

	SourceFunction<OUT> function;
	try {
		function = new FromElementsFunction<>(typeInfo.createSerializer(getConfig()), data);
	}
	catch (IOException e) {
		throw new RuntimeException(e.getMessage(), e);
	}
	return addSource(function, "Collection Source", typeInfo).setParallelism(1);
}
Example 3
Source File: StreamExecutionEnvironment.java    From flink with Apache License 2.0 6 votes vote down vote up 
/**
 * Creates a data stream from the given non-empty collection.
 *
 * <p>Note that this operation will result in a non-parallel data stream source,
 * i.e., a data stream source with parallelism one.
 *
 * @param data
 * 		The collection of elements to create the data stream from
 * @param typeInfo
 * 		The TypeInformation for the produced data stream
 * @param <OUT>
 * 		The type of the returned data stream
 * @return The data stream representing the given collection
 */
public <OUT> DataStreamSource<OUT> fromCollection(Collection<OUT> data, TypeInformation<OUT> typeInfo) {
	Preconditions.checkNotNull(data, "Collection must not be null");

	// must not have null elements and mixed elements
	FromElementsFunction.checkCollection(data, typeInfo.getTypeClass());

	SourceFunction<OUT> function;
	try {
		function = new FromElementsFunction<>(typeInfo.createSerializer(getConfig()), data);
	}
	catch (IOException e) {
		throw new RuntimeException(e.getMessage(), e);
	}
	return addSource(function, "Collection Source", typeInfo).setParallelism(1);
}