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https://issues.apache.org/jira/browse/SPARK-18516?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-18516.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 15954
[https://github.com/apache/spark/pull/15954]
> Separate instantaneous state from progress performance statistics
> -----------------------------------------------------------------
>
> Key: SPARK-18516
> URL: https://issues.apache.org/jira/browse/SPARK-18516
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Reporter: Michael Armbrust
> Assignee: Michael Armbrust
> Priority: Blocker
> Fix For: 2.1.0
>
>
> There are two types of information that you want to be able to extract from a
> running query: instantaneous _status_ and metrics about the performance as
> make _progress_ in query processing.
> Today, these are conflated in a single {{StreamingQueryStatus}} object. The
> downside to this approach is that a user now needs to reason about what state
> the query is in anytime they retrieve a status object. Fields like
> {{statusMessage}} don't appear in updates that come from listener bus.
> Simlarly, {{inputRate}}/{{processingRate}} statistics are usually {{0}} when
> you retrieve a status object from the query itself.
> I propose we make the follow changes:
> - Make {{status}} only report instantaneous things, such as if data is
> available or a human readable message about what phase we are currently in.
> - Have a separate {{progress}} message that we report for each trigger with
> the other performance information that lives in status today. You should be
> able to easily retrieve a configurable number of the most recent progress
> messages instead of just the most recent.
> While we are making these changes, I propose that we also change {{id}} to be
> a globally unique identifier, rather than a JVM unique one. Without this its
> hard to correlate performance across restarts.
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