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https://issues.apache.org/jira/browse/SPARK-18337?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15645673#comment-15645673
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Apache Spark commented on SPARK-18337:
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User 'brkyvz' has created a pull request for this issue:
https://github.com/apache/spark/pull/15801
> Memory Sink should be able to recover from checkpoints in Complete OutputMode
> -----------------------------------------------------------------------------
>
> Key: SPARK-18337
> URL: https://issues.apache.org/jira/browse/SPARK-18337
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 2.0.1
> Reporter: Burak Yavuz
>
> Memory sinks are not meant to be fault tolerant, but there are certain cases,
> where it would be nice that it can recover from checkpoints. In cases where
> you may use a scalable StateStore in StructuredStreaming (when you have an
> aggregation), and you add a filter based on a key or value in your state,
> it's nice to be able to continue from where you left off after failures.
> For correctness reasons, the output will ONLY be correct in Complete mode, so
> we could support that.
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