[
https://issues.apache.org/jira/browse/FLINK-3133?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16625564#comment-16625564
]
Aljoscha Krettek commented on FLINK-3133:
-----------------------------------------
I think we can close this issue. Or update it to make it more modern. But this
is a complicated topic that requires a thorough design. For example, it should
work in container environments, Kubernetes, etc. which I think will be quite
tricky.
> 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
> Affects Versions: 0.10.0, 0.10.1, 1.0.0
> Reporter: Maximilian Michels
> Assignee: Evgeny Kincharov
> Priority: Major
>
> 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}
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
