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https://issues.apache.org/jira/browse/SPARK-16899?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15729734#comment-15729734
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Anton Okolnychyi commented on SPARK-16899:
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Is the ticket still valid? I cannot reproduce the exception if I run the
example using Spark 2.0.2.
> Structured Streaming Checkpointing Example invalid
> --------------------------------------------------
>
> Key: SPARK-16899
> URL: https://issues.apache.org/jira/browse/SPARK-16899
> Project: Spark
> Issue Type: Bug
> Components: Documentation
> Reporter: Vladimir Feinberg
> Priority: Minor
>
> The structured streaming checkpointing example at the bottom of the page
> (https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html#recovering-from-failures-with-checkpointing)
> has the following excerpt:
> {code}
> aggDF
> .writeStream
> .outputMode("complete")
> .option(“checkpointLocation”, “path/to/HDFS/dir”)
> .format("memory")
> .start()
> {code}
> But memory sinks are not fault-tolerant. Indeed, trying this out, I get the
> following error:
> {{This query does not support recovering from checkpoint location. Delete
> /tmp/streaming.metadata-625631e5-baee-41da-acd1-f16c82f68a40/offsets to start
> over.;}}
> The documentation should be changed to demonstrate checkpointing for a
> non-aggregation streaming task, and explicitly mention there is no way to
> checkpoint aggregates.
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