Hi sonex
I think you can accomplish it by using a PassThroughFunction as the apply
function and processing the elements in a rich flatMap function followed. You
can keep the information in the flatmap function (via states) so that they can
be shared among different windows.
The program may look like
stream.keyBy(...).timeWindow(...) .apply(new WindowFunction() {
public void apply(K key, W window, Iterable<IN> elements, Collector<OUT> out) {
out.collect(new Tuple3<>(key, window, elements); }) .keyBy(0)
// use the same key as the windows .flatMap(...) // process the windows
with shared information
Regards,Xiaogang
------------------------------------------------------------------发件人：Sonex
<kls.yan...@gmail.com>发送时间：2017年2月20日(星期一) 16:32收件人：user
<user@flink.apache.org>主 题：Transfer information from one window to the next
val stream =
inputStream.assignAscendingTimestamps(_.eventTime).keyBy(_.inputKey).timeWindow(Time.seconds(3600),Time.seconds(3600))
stream.apply{...}
Given the above example I want to transfer information (variables and
values) from the current apply function to the apply function of the next
window (of course with the same key).
How can I do that?
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