org.apache.flink.api.java.operators.translation.KeyExtractingMapper Java Examples

The following examples show how to use org.apache.flink.api.java.operators.translation.KeyExtractingMapper. 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: KeyFunctions.java    From Flink-CEPplus with Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
public static <T, K> org.apache.flink.api.common.operators.Operator<Tuple2<K, T>> appendKeyExtractor(
		org.apache.flink.api.common.operators.Operator<T> input,
		SelectorFunctionKeys<T, K> key) {

	if (input instanceof Union) {
		// if input is a union, we apply the key extractors recursively to all inputs
		org.apache.flink.api.common.operators.Operator<T> firstInput = ((Union) input).getFirstInput();
		org.apache.flink.api.common.operators.Operator<T> secondInput = ((Union) input).getSecondInput();

		org.apache.flink.api.common.operators.Operator<Tuple2<K, T>> firstInputWithKey =
				appendKeyExtractor(firstInput, key);
		org.apache.flink.api.common.operators.Operator<Tuple2<K, T>> secondInputWithKey =
				appendKeyExtractor(secondInput, key);

		return new Union(firstInputWithKey, secondInputWithKey, input.getName());
	}

	TypeInformation<T> inputType = key.getInputType();
	TypeInformation<Tuple2<K, T>> typeInfoWithKey = createTypeWithKey(key);
	KeyExtractingMapper<T, K> extractor = new KeyExtractingMapper(key.getKeyExtractor());

	MapOperatorBase<T, Tuple2<K, T>, MapFunction<T, Tuple2<K, T>>> mapper =
			new MapOperatorBase<T, Tuple2<K, T>, MapFunction<T, Tuple2<K, T>>>(
					extractor,
					new UnaryOperatorInformation(inputType, typeInfoWithKey),
					"Key Extractor"
			);

	mapper.setInput(input);
	mapper.setParallelism(input.getParallelism());

	return mapper;
}
Example #2
Source File: KeyFunctions.java    From flink with Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
public static <T, K> org.apache.flink.api.common.operators.Operator<Tuple2<K, T>> appendKeyExtractor(
		org.apache.flink.api.common.operators.Operator<T> input,
		SelectorFunctionKeys<T, K> key) {

	if (input instanceof Union) {
		// if input is a union, we apply the key extractors recursively to all inputs
		org.apache.flink.api.common.operators.Operator<T> firstInput = ((Union) input).getFirstInput();
		org.apache.flink.api.common.operators.Operator<T> secondInput = ((Union) input).getSecondInput();

		org.apache.flink.api.common.operators.Operator<Tuple2<K, T>> firstInputWithKey =
				appendKeyExtractor(firstInput, key);
		org.apache.flink.api.common.operators.Operator<Tuple2<K, T>> secondInputWithKey =
				appendKeyExtractor(secondInput, key);

		return new Union(firstInputWithKey, secondInputWithKey, input.getName());
	}

	TypeInformation<T> inputType = key.getInputType();
	TypeInformation<Tuple2<K, T>> typeInfoWithKey = createTypeWithKey(key);
	KeyExtractingMapper<T, K> extractor = new KeyExtractingMapper(key.getKeyExtractor());

	MapOperatorBase<T, Tuple2<K, T>, MapFunction<T, Tuple2<K, T>>> mapper =
			new MapOperatorBase<T, Tuple2<K, T>, MapFunction<T, Tuple2<K, T>>>(
					extractor,
					new UnaryOperatorInformation(inputType, typeInfoWithKey),
					"Key Extractor"
			);

	mapper.setInput(input);
	mapper.setParallelism(input.getParallelism());

	return mapper;
}
Example #3
Source File: KeyFunctions.java    From flink with Apache License 2.0 5 votes vote down vote up 
@SuppressWarnings("unchecked")
public static <T, K> org.apache.flink.api.common.operators.Operator<Tuple2<K, T>> appendKeyExtractor(
		org.apache.flink.api.common.operators.Operator<T> input,
		SelectorFunctionKeys<T, K> key) {

	if (input instanceof Union) {
		// if input is a union, we apply the key extractors recursively to all inputs
		org.apache.flink.api.common.operators.Operator<T> firstInput = ((Union) input).getFirstInput();
		org.apache.flink.api.common.operators.Operator<T> secondInput = ((Union) input).getSecondInput();

		org.apache.flink.api.common.operators.Operator<Tuple2<K, T>> firstInputWithKey =
				appendKeyExtractor(firstInput, key);
		org.apache.flink.api.common.operators.Operator<Tuple2<K, T>> secondInputWithKey =
				appendKeyExtractor(secondInput, key);

		return new Union(firstInputWithKey, secondInputWithKey, input.getName());
	}

	TypeInformation<T> inputType = key.getInputType();
	TypeInformation<Tuple2<K, T>> typeInfoWithKey = createTypeWithKey(key);
	KeyExtractingMapper<T, K> extractor = new KeyExtractingMapper(key.getKeyExtractor());

	MapOperatorBase<T, Tuple2<K, T>, MapFunction<T, Tuple2<K, T>>> mapper =
			new MapOperatorBase<T, Tuple2<K, T>, MapFunction<T, Tuple2<K, T>>>(
					extractor,
					new UnaryOperatorInformation(inputType, typeInfoWithKey),
					"Key Extractor"
			);

	mapper.setInput(input);
	mapper.setParallelism(input.getParallelism());

	return mapper;
}