[jira] [Commented] (SPARK-18407) Inferred partition columns cause assertion error
[
https://issues.apache.org/jira/browse/SPARK-18407?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15696337#comment-15696337
]
Burak Yavuz commented on SPARK-18407:
-
This is also resolved as part of
https://issues.apache.org/jira/browse/SPARK-18510
> Inferred partition columns cause assertion error
>
>
> Key: SPARK-18407
> URL: https://issues.apache.org/jira/browse/SPARK-18407
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
>Affects Versions: 2.0.2
>Reporter: Michael Armbrust
>Priority: Critical
>
> [This
> assertion|https://github.com/apache/spark/blob/16eaad9daed0b633e6a714b5704509aa7107d6e5/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamExecution.scala#L408]
> fails when you run a stream against json data that is stored in partitioned
> folders, if you manually specify the schema and that schema omits the
> partitioned columns.
> My hunch is that we are inferring those columns even though the schema is
> being passed in manually and adding them to the end.
> While we are fixing this bug, it would be nice to make the assertion better.
> Truncating is not terribly useful as, at least in my case, it truncated the
> most interesting part. I changed it to this while debugging:
> {code}
> s"""
> |Batch does not have expected schema
> |Expected: ${output.mkString(",")}
> |Actual: ${newPlan.output.mkString(",")}
> |
> |== Original ==
> |$logicalPlan
> |
> |== Batch ==
> |$newPlan
>""".stripMargin
> {code}
> I also tried specifying the partition columns in the schema and now it
> appears that they are filled with corrupted data.
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[jira] [Commented] (SPARK-18407) Inferred partition columns cause assertion error
[
https://issues.apache.org/jira/browse/SPARK-18407?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15680352#comment-15680352
]
Apache Spark commented on SPARK-18407:
--
User 'brkyvz' has created a pull request for this issue:
https://github.com/apache/spark/pull/15942
> Inferred partition columns cause assertion error
>
>
> Key: SPARK-18407
> URL: https://issues.apache.org/jira/browse/SPARK-18407
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
>Affects Versions: 2.0.2
>Reporter: Michael Armbrust
>Priority: Critical
>
> [This
> assertion|https://github.com/apache/spark/blob/16eaad9daed0b633e6a714b5704509aa7107d6e5/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamExecution.scala#L408]
> fails when you run a stream against json data that is stored in partitioned
> folders, if you manually specify the schema and that schema omits the
> partitioned columns.
> My hunch is that we are inferring those columns even though the schema is
> being passed in manually and adding them to the end.
> While we are fixing this bug, it would be nice to make the assertion better.
> Truncating is not terribly useful as, at least in my case, it truncated the
> most interesting part. I changed it to this while debugging:
> {code}
> s"""
> |Batch does not have expected schema
> |Expected: ${output.mkString(",")}
> |Actual: ${newPlan.output.mkString(",")}
> |
> |== Original ==
> |$logicalPlan
> |
> |== Batch ==
> |$newPlan
>""".stripMargin
> {code}
> I also tried specifying the partition columns in the schema and now it
> appears that they are filled with corrupted data.
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