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https://issues.apache.org/jira/browse/FLINK-11817?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chesnay Schepler updated FLINK-11817:
-------------------------------------
Issue Type: Improvement (was: Bug)
> DataStream API Tutorial uses deprecated fold function
> -----------------------------------------------------
>
> Key: FLINK-11817
> URL: https://issues.apache.org/jira/browse/FLINK-11817
> Project: Flink
> Issue Type: Improvement
> Components: Documentation
> Affects Versions: 1.7.2
> Reporter: Michael Holler
> Assignee: leesf
> Priority: Minor
> Labels: pull-request-available
> Time Spent: 20m
> Remaining Estimate: 0h
>
> {{WindowedStream.fold}} is deprecated, but it's still recommended in the
> tutorial documentation:
> [https://ci.apache.org/projects/flink/flink-docs-release-1.7/tutorials/datastream_api.html]
> Specifically this sample:
> {code:java}
> DataStream<Tuple2<String, Long>> result = keyedEdits
> .timeWindow(Time.seconds(5))
> .fold(new Tuple2<>("", 0L), new FoldFunction<WikipediaEditEvent,
> Tuple2<String, Long>>() {
> @Override
> public Tuple2<String, Long> fold(Tuple2<String, Long> acc,
> WikipediaEditEvent event) {
> acc.f0 = event.getUser();
> acc.f1 += event.getByteDiff();
> return acc;
> }
> });{code}
> WindowedStream suggests using
> {{WindowedStream.aggregate(AggregationFunction)}} instead, but as a beginner
> it's difficult to understand how to go about that.
> Can someone who knows the right way to migrate this code please update the
> corresponding documentation?
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