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https://issues.apache.org/jira/browse/FLINK-3133?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15714701#comment-15714701
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Maximilian Michels commented on FLINK-3133:
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Sorry, I missed your reply. The sampling method would block for as long as it
needs to assemble the output of the last 5 seconds. Note that the time domain
needs to be taken into account as well. In processing time 5 seconds are
different from event time.
The implementation is not blocked on the JobClient. If you want to get started,
I would suggest to set up a design document to lay out which features you want
to implement and how you would gather data from the TaskManagers.
> Introduce collect()/count()/print() methods in DataStream API
> -------------------------------------------------------------
>
> Key: FLINK-3133
> URL: https://issues.apache.org/jira/browse/FLINK-3133
> Project: Flink
> Issue Type: Improvement
> Components: DataStream API, Streaming
> Affects Versions: 0.10.0, 1.0.0, 0.10.1
> Reporter: Maximilian Michels
> Fix For: 1.0.0
>
>
> The DataSet API's methods {{collect()}}, {{count()}}, and {{print()}} should
> be mirrored to the DataStream API.
> The semantics of the calls are different. We need to be able to sample parts
> of a stream, e.g. by supplying a time period in the arguments to the methods.
> Users should use the {{JobClient}} to retrieve the results.
> {code:java}
> StreamExecutionEnvironment env =
> StramEnvironment.getStreamExecutionEnvironment();
> DataStream<DataType> streamData = env.addSource(..).map(..);
> JobClient jobClient = env.executeWithControl();
> Iterable<DataType> sampled = jobClient.sampleStream(streamData,
> Time.seconds(5));
> {code}
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