[ 
https://issues.apache.org/jira/browse/FLINK-11817?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Michael Holler updated FLINK-11817:
-----------------------------------
    Description: 
{{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?

  was:
{{WindowedStream.fold}} is a 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?


> DataStream API Tutorial uses deprecated fold function
> -----------------------------------------------------
>
>                 Key: FLINK-11817
>                 URL: https://issues.apache.org/jira/browse/FLINK-11817
>             Project: Flink
>          Issue Type: Bug
>          Components: Documentation
>    Affects Versions: 1.7.2
>            Reporter: Michael Holler
>            Priority: Minor
>
> {{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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