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https://issues.apache.org/jira/browse/FLINK-33041?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17762540#comment-17762540
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Wencong Liu commented on FLINK-33041:
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Thanks very much for your reminder [~echauchot] . I have carefully read through
this blog and it's really good. However, I noticed that the blog only covers a
limited number of DataSet operators. It does not include other operators like
MapPartition or GroupReduce on Grouped DataSet. This pull request has provided
a more comprehensive article on how to migrate all DataSet operators to
DataStream. I will add some of the content from your blog to this pull request
such as the difference about ExecutionEnvironment/Source/Sink between DataSet
and DataStream API. If you're interested, you can review the pull request and
give your feedback. 😄
> Add an introduction about how to migrate DataSet API to DataStream
> ------------------------------------------------------------------
>
> Key: FLINK-33041
> URL: https://issues.apache.org/jira/browse/FLINK-33041
> Project: Flink
> Issue Type: Improvement
> Components: Documentation
> Affects Versions: 1.18.0
> Reporter: Wencong Liu
> Priority: Major
> Fix For: 1.18.0
>
>
> The DataSet API has been formally deprecated and will no longer receive
> active maintenance and support. It will be removed in the Flink 2.0 version.
> Flink users are recommended to migrate from the DataSet API to the DataStream
> API, Table API and SQL for their data processing requirements.
> Most of the DataSet operators can be implemented using the DataStream API.
> However, we believe it would be beneficial to have an introductory article on
> the Flink website that guides users in migrating their DataSet jobs to
> DataStream.
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