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https://issues.apache.org/jira/browse/FLINK-27521?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yun Gao updated FLINK-27521:
----------------------------
Release Note: Supports caching the result of a transformation via
DataStream#cache(). The cached intermediate result is generated lazily at the
first time the intermediate result is computed so that the result can be reused
by later jobs. If the cache is lost, it will be recomputed using the original
transformations. Notes that currently only batch mode is supported. (was:
Supports caching the result of a transformation via DataStream#cache(). The
cache intermediate result is generated lazily at the first time
the intermediate result is computed so that the result can be reused by later
jobs. If the cache is
lost, it will be recomputed using the original transformations. Notes that
currently only batch mode is supported. )
> FLIP-205: Support Cache in DataStream for Batch Processing
> ----------------------------------------------------------
>
> Key: FLINK-27521
> URL: https://issues.apache.org/jira/browse/FLINK-27521
> Project: Flink
> Issue Type: New Feature
> Components: API / DataStream
> Affects Versions: 1.16.0
> Reporter: Xuannan Su
> Assignee: Xuannan Su
> Priority: Major
> Fix For: 1.16.0
>
>
> As the DataStream API now supports batch execution mode, we see users using
> the DataStream API to run batch jobs. Interactive programming is an important
> use case of Flink batch processing. And the ability to cache intermediate
> results of a DataStream is crucial to the interactive programming experience.
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