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https://issues.apache.org/jira/browse/SPARK-35565?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jungtaek Lim resolved SPARK-35565.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 32702
[https://github.com/apache/spark/pull/32702]
> Add a config for ignoring metadata directory of file stream sink
> ----------------------------------------------------------------
>
> Key: SPARK-35565
> URL: https://issues.apache.org/jira/browse/SPARK-35565
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 3.2.0
> Reporter: L. C. Hsieh
> Assignee: L. C. Hsieh
> Priority: Major
> Fix For: 3.2.0
>
>
> FileStreamSink produces a metadata directory which logs output files per
> micro-batch. When we read from the output path, Spark will look at the
> metadata and ignore other files not in the log.
> Normally it works well. But for some use-cases, we may need to ignore the
> metadata when reading the output path. For example, when we change the
> streaming query and must to run it with new checkpoint directory, we cannot
> use previous metadata. If we create a new metadata too, when we read the
> output path later in Spark, Spark only reads the files listed in the new
> metadata. The files written before we use new checkpoint and metadata are
> ignored by Spark.
> Although seems we can output to different output directory every time, but it
> is bad idea as we will produce many directories unnecessarily.
> Seems we need a config for ignoring the metadata of FileStreamSink when
> reading the output path.
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