Java Code Examples for org.apache.flink.api.java.io.CollectionInputFormat#checkCollection()

The following examples show how to use org.apache.flink.api.java.io.CollectionInputFormat#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: ExecutionEnvironment.java    From Flink-CEPplus with Apache License 2.0 4 votes vote down vote up 
private <X> DataSource<X> fromCollection(Collection<X> data, TypeInformation<X> type, String callLocationName) {
	CollectionInputFormat.checkCollection(data, type.getTypeClass());
	return new DataSource<>(this, new CollectionInputFormat<>(data, type.createSerializer(config)), type, callLocationName);
}
Example 2
Source File: ExecutionEnvironment.java    From flink with Apache License 2.0 4 votes vote down vote up 
private <X> DataSource<X> fromCollection(Collection<X> data, TypeInformation<X> type, String callLocationName) {
	CollectionInputFormat.checkCollection(data, type.getTypeClass());
	return new DataSource<>(this, new CollectionInputFormat<>(data, type.createSerializer(config)), type, callLocationName);
}
Example 3
Source File: ExecutionEnvironment.java    From flink with Apache License 2.0 4 votes vote down vote up 
private <X> DataSource<X> fromCollection(Collection<X> data, TypeInformation<X> type, String callLocationName) {
	CollectionInputFormat.checkCollection(data, type.getTypeClass());
	return new DataSource<>(this, new CollectionInputFormat<>(data, type.createSerializer(config)), type, callLocationName);
}
Example 4
Source File: ExecutionEnvironment.java    From Flink-CEPplus with Apache License 2.0 3 votes vote down vote up 
/**
 * Creates a DataSet from the given non-empty collection. The type of the data set is that
 * of the elements in the collection.
 *
 * <p>The framework will try and determine the exact type from the collection elements.
 * In case of generic elements, it may be necessary to manually supply the type information
 * via {@link #fromCollection(Collection, TypeInformation)}.
 *
 * <p>Note that this operation will result in a non-parallel data source, i.e. a data source with
 * a parallelism of one.
 *
 * @param data The collection of elements to create the data set from.
 * @return A DataSet representing the given collection.
 *
 * @see #fromCollection(Collection, TypeInformation)
 */
public <X> DataSource<X> fromCollection(Collection<X> data) {
	if (data == null) {
		throw new IllegalArgumentException("The data must not be null.");
	}
	if (data.size() == 0) {
		throw new IllegalArgumentException("The size of the collection must not be empty.");
	}

	X firstValue = data.iterator().next();

	TypeInformation<X> type = TypeExtractor.getForObject(firstValue);
	CollectionInputFormat.checkCollection(data, type.getTypeClass());
	return new DataSource<>(this, new CollectionInputFormat<>(data, type.createSerializer(config)), type, Utils.getCallLocationName());
}
Example 5
Source File: ExecutionEnvironment.java    From flink with Apache License 2.0 3 votes vote down vote up 
/**
 * Creates a DataSet from the given non-empty collection. The type of the data set is that
 * of the elements in the collection.
 *
 * <p>The framework will try and determine the exact type from the collection elements.
 * In case of generic elements, it may be necessary to manually supply the type information
 * via {@link #fromCollection(Collection, TypeInformation)}.
 *
 * <p>Note that this operation will result in a non-parallel data source, i.e. a data source with
 * a parallelism of one.
 *
 * @param data The collection of elements to create the data set from.
 * @return A DataSet representing the given collection.
 *
 * @see #fromCollection(Collection, TypeInformation)
 */
public <X> DataSource<X> fromCollection(Collection<X> data) {
	if (data == null) {
		throw new IllegalArgumentException("The data must not be null.");
	}
	if (data.size() == 0) {
		throw new IllegalArgumentException("The size of the collection must not be empty.");
	}

	X firstValue = data.iterator().next();

	TypeInformation<X> type = TypeExtractor.getForObject(firstValue);
	CollectionInputFormat.checkCollection(data, type.getTypeClass());
	return new DataSource<>(this, new CollectionInputFormat<>(data, type.createSerializer(config)), type, Utils.getCallLocationName());
}
Example 6
Source File: ExecutionEnvironment.java    From flink with Apache License 2.0 3 votes vote down vote up 
/**
 * Creates a DataSet from the given non-empty collection. The type of the data set is that
 * of the elements in the collection.
 *
 * <p>The framework will try and determine the exact type from the collection elements.
 * In case of generic elements, it may be necessary to manually supply the type information
 * via {@link #fromCollection(Collection, TypeInformation)}.
 *
 * <p>Note that this operation will result in a non-parallel data source, i.e. a data source with
 * a parallelism of one.
 *
 * @param data The collection of elements to create the data set from.
 * @return A DataSet representing the given collection.
 *
 * @see #fromCollection(Collection, TypeInformation)
 */
public <X> DataSource<X> fromCollection(Collection<X> data) {
	if (data == null) {
		throw new IllegalArgumentException("The data must not be null.");
	}
	if (data.size() == 0) {
		throw new IllegalArgumentException("The size of the collection must not be empty.");
	}

	X firstValue = data.iterator().next();

	TypeInformation<X> type = TypeExtractor.getForObject(firstValue);
	CollectionInputFormat.checkCollection(data, type.getTypeClass());
	return new DataSource<>(this, new CollectionInputFormat<>(data, type.createSerializer(config)), type, Utils.getCallLocationName());
}