This documentation is for an out-of-date version of Apache Flink. We recommend you use the latest stable version.
Side Outputs #
In addition to the main stream that results from DataStream
operations, you can also produce any
number of additional side output result streams. The type of data in the result streams does not
have to match the type of data in the main stream and the types of the different side outputs can
also differ. This operation can be useful when you want to split a stream of data where you would
normally have to replicate the stream and then filter out from each stream the data that you don’t
want to have.
When using side outputs, you first need to define an OutputTag
that will be used to identify a
side output stream:
// this needs to be an anonymous inner class, so that we can analyze the type
OutputTag<String> outputTag = new OutputTag<String>("side-output") {};
val outputTag = OutputTag[String]("side-output")
Notice how the OutputTag
is typed according to the type of elements that the side output stream
contains.
Emitting data to a side output is possible from the following functions:
- ProcessFunction
- KeyedProcessFunction
- CoProcessFunction
- KeyedCoProcessFunction
- ProcessWindowFunction
- ProcessAllWindowFunction
You can use the Context
parameter, which is exposed to users in the above functions, to emit
data to a side output identified by an OutputTag
. Here is an example of emitting side output
data from a ProcessFunction
:
DataStream<Integer> input = ...;
final OutputTag<String> outputTag = new OutputTag<String>("side-output"){};
SingleOutputStreamOperator<Integer> mainDataStream = input
.process(new ProcessFunction<Integer, Integer>() {
@Override
public void processElement(
Integer value,
Context ctx,
Collector<Integer> out) throws Exception {
// emit data to regular output
out.collect(value);
// emit data to side output
ctx.output(outputTag, "sideout-" + String.valueOf(value));
}
});
val input: DataStream[Int] = ...
val outputTag = OutputTag[String]("side-output")
val mainDataStream = input
.process(new ProcessFunction[Int, Int] {
override def processElement(
value: Int,
ctx: ProcessFunction[Int, Int]#Context,
out: Collector[Int]): Unit = {
// emit data to regular output
out.collect(value)
// emit data to side output
ctx.output(outputTag, "sideout-" + String.valueOf(value))
}
})
For retrieving the side output stream you use getSideOutput(OutputTag)
on the result of the DataStream
operation. This will give you a DataStream
that is typed
to the result of the side output stream:
final OutputTag<String> outputTag = new OutputTag<String>("side-output"){};
SingleOutputStreamOperator<Integer> mainDataStream = ...;
DataStream<String> sideOutputStream = mainDataStream.getSideOutput(outputTag);
val outputTag = OutputTag[String]("side-output")
val mainDataStream = ...
val sideOutputStream: DataStream[String] = mainDataStream.getSideOutput(outputTag)