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https://issues.apache.org/jira/browse/SPARK-29217?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16936386#comment-16936386
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Jungtaek Lim commented on SPARK-29217:
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The metadata is leveraged to provide end-to-end exactly once, and that's
expected behavior for Spark batch/streaming query when reading from Spark
datasource sink outputs.
Unfortunately, there's no official approach to remove files in output.
Workarounds are described in comments on SPARK-24295, though it requires nasty
modification of metadata by user side.
I proposed SPARK-27188 to deal with the issue generally, but even in proposed
approach it relies on retention as Spark cannot know which file/directory end
users deleted. (Technically, Spark can check the files' status and remove
deleted files in metadata, but it cannot be done immediately so you'll still
have a chance to see the error. And the cost of checking all output files so
far is too huge which we may not want to.)
> How to read streaming output path by ignoring metadata log files
> ----------------------------------------------------------------
>
> Key: SPARK-29217
> URL: https://issues.apache.org/jira/browse/SPARK-29217
> Project: Spark
> Issue Type: Question
> Components: Spark Core
> Affects Versions: 2.4.3
> Reporter: Thanida
> Priority: Minor
>
> As the output path of spark streaming contains `_spark_metadata` directory,
> reading by
> {code:java}
> spark.read.format("parquet").load(filepath)
> {code}
> always depend on files listing in metadata log.
> Moving some files in the output while streaming caused reading data failed.
> So, how to read data in the streaming output path by ignoring metadata log
> files?
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