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Posted to issues@flink.apache.org by "Stephan Ewen (JIRA)" <ji...@apache.org> on 2016/07/13 12:21:20 UTC
[jira] [Comment Edited] (FLINK-4207) WindowOperator becomes very
slow with allowed lateness
[ https://issues.apache.org/jira/browse/FLINK-4207?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15374897#comment-15374897 ]
Stephan Ewen edited comment on FLINK-4207 at 7/13/16 12:20 PM:
---------------------------------------------------------------
Is the overhead in the
- "onElement()" processing?
- the window triggering?
- the window cleanups?
was (Author: stephanewen):
What is happening different now than before?
> WindowOperator becomes very slow with allowed lateness
> ------------------------------------------------------
>
> Key: FLINK-4207
> URL: https://issues.apache.org/jira/browse/FLINK-4207
> Project: Flink
> Issue Type: Bug
> Components: Streaming
> Affects Versions: 1.1.0
> Reporter: Aljoscha Krettek
> Priority: Blocker
>
> In this simple example the throughput (as measured by the count the window emits) becomes very low when an allowed lateness is set:
> {code}
> public class WindowWordCount {
> public static void main(String[] args) throws Exception {
> final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
> env.setStreamTimeCharacteristic(TimeCharacteristic.IngestionTime);
> env.setParallelism(1);
> env.addSource(new InfiniteTupleSource(100_000))
> .keyBy(0)
> .timeWindow(Time.seconds(3))
> .allowedLateness(Time.seconds(1))
> .reduce(new ReduceFunction<Tuple2<String, Integer>>() {
> @Override
> public Tuple2<String, Integer> reduce(Tuple2<String, Integer> value1,
> Tuple2<String, Integer> value2) throws Exception {
> return Tuple2.of(value1.f0, value1.f1 + value2.f1);
> }
> })
> .filter(new FilterFunction<Tuple2<String, Integer>>() {
> private static final long serialVersionUID = 1L;
> @Override
> public boolean filter(Tuple2<String, Integer> value) throws Exception {
> return value.f0.startsWith("Tuple 0");
> }
> })
> .print();
> // execute program
> env.execute("WindowWordCount");
> }
> public static class InfiniteTupleSource implements ParallelSourceFunction<Tuple2<String, Integer>> {
> private static final long serialVersionUID = 1L;
> private int numGroups;
> public InfiniteTupleSource(int numGroups) {
> this.numGroups = numGroups;
> }
> @Override
> public void run(SourceContext<Tuple2<String, Integer>> out) throws Exception {
> long index = 0;
> while (true) {
> Tuple2<String, Integer> tuple = new Tuple2<>("Tuple " + (index % numGroups), 1);
> out.collect(tuple);
> index++;
> }
> }
> @Override
> public void cancel() {
> }
> }
> }
> {code}
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