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https://issues.apache.org/jira/browse/HUDI-2772?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sagar Sumit closed HUDI-2772.
-----------------------------
Resolution: Fixed
> Deltastreamer fails to read checkpoint from previous commit metadata by spark
> writer on continuous mode where there is no data in source
> ----------------------------------------------------------------------------------------------------------------------------------------
>
> Key: HUDI-2772
> URL: https://issues.apache.org/jira/browse/HUDI-2772
> Project: Apache Hudi
> Issue Type: Task
> Components: multi-writer
> Reporter: sivabalan narayanan
> Assignee: Harshal Patil
> Priority: Major
> Fix For: 0.14.0
>
>
> Even after setting the right config to copy over deltastreamer checkpoint,
> deltastreamer fails to read the checkpoint from previous commit metadata.
> This is not something that happens in general. In this case, in continuous
> mode, there is no data in source (parquet dfs) folder and so deltatastreamer
> continuously checks source folder and also loads last checkpoint from
> timeline metadata. So, with this set up, when a write from spark-datasource
> is triggered, deltastreamer immediately fails to read the checkpoint from the
> completed spark-writer commit. But if deltastreamer is restarted, the
> exception is not seen and picks up the checkpoint.
> I induced a 1 sec delay in continuous mode and things were fine too.
>
> Setup:
> Deltastreamer in continuous mode. source folder did not have any data, and so
> deltastreamer was checking source folder and fetching latest checkpoint from
> commit metadata in quick succession.
> And triggered a concurrent write from spark-datasource.
>
> I inspected the last commit.completed instant(that was reported by
> deltastreamer) made by spark writer and it looks ok to me.
> {code:java}
> grep "checkpoint"
> /tmp/hudi-deltastreamer-gh-mw/.hoodie/20211116074129737.deltacommit
> "deltastreamer.checkpoint.key" : "1637066483000" {code}
> But after the below exception, if I restart deltastreamer, it just runs fine.
> Very strange? I was able to reprod this 2 times out of 5.
> here is the checkpoint from last delta commit by deltastreamer (which matches
> the entry found by delta commit by spark writer above)
> {code:java}
> grep "checkpoint"
> /tmp/hudi-deltastreamer-gh-mw/.hoodie/20211116074123384.deltacommit
> "deltastreamer.checkpoint.key" : "1637066483000" {code}
>
> I also check detlastreamer code and we do look at only completed instants and
> the completed commit metadata. So, not sure why is this happening.
> stacktrace:
> {code:java}
> 21/11/16 10:51:15 WARN HoodieDeltaStreamer: Next round
> 21/11/16 10:51:15 WARN DeltaSync: Extra metadata :: 20211116105105578,
> 20211116105105578.deltacommit, = [schema, deltastreamer.checkpoint.key]
> 21/11/16 10:51:15 WARN HoodieDeltaStreamer: Next round
> 21/11/16 10:51:15 WARN DeltaSync: Extra metadata :: 20211116105105578,
> 20211116105105578.deltacommit, = [schema, deltastreamer.checkpoint.key]
> 21/11/16 10:51:15 WARN HoodieDeltaStreamer: Next round
> 21/11/16 10:51:15 WARN DeltaSync: Extra metadata :: 20211116105112814,
> 20211116105112814.deltacommit, = []
> 21/11/16 10:51:15 ERROR HoodieDeltaStreamer: Shutting down delta-sync due to
> exception
> org.apache.hudi.utilities.exception.HoodieDeltaStreamerException: Unable to
> find previous checkpoint. Please double check if this table was indeed built
> via delta streamer. Last Commit
> :Option{val=[20211116105112814__deltacommit__COMPLETED]}, Instants
> :[[20211116104228269__deltacommit__COMPLETED],
> [20211116104553080__deltacommit__COMPLETED],
> [20211116104759622__deltacommit__COMPLETED],
> [20211116105105578__deltacommit__COMPLETED],
> [20211116105112814__deltacommit__COMPLETED]], CommitMetadata={
> "partitionToWriteStats" : { },
> "compacted" : false,
> "extraMetadata" : { },
> "operationType" : "UNKNOWN",
> "fileIdAndRelativePaths" : { },
> "totalRecordsDeleted" : 0,
> "totalLogRecordsCompacted" : 0,
> "totalLogFilesCompacted" : 0,
> "totalCompactedRecordsUpdated" : 0,
> {code}
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