[jira] [Commented] (SPARK-40508) Treat unknown partitioning as UnknownPartitioning
[
https://issues.apache.org/jira/browse/SPARK-40508?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17607918#comment-17607918
]
Dongjoon Hyun commented on SPARK-40508:
---
Previously, you are in `Contributor` and `Administrator`. I added `Committer`
group to you additionally to make it sure.
> Treat unknown partitioning as UnknownPartitioning
> -
>
> Key: SPARK-40508
> URL: https://issues.apache.org/jira/browse/SPARK-40508
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
>Affects Versions: 3.3.0
>Reporter: Ted Yu
>Assignee: Ted Yu
>Priority: Major
> Fix For: 3.4.0
>
>
> When running spark application against spark 3.3, I see the following :
> {code}
> java.lang.IllegalArgumentException: Unsupported data source V2 partitioning
> type: CustomPartitioning
> at
> org.apache.spark.sql.execution.datasources.v2.V2ScanPartitioning$$anonfun$apply$1.applyOrElse(V2ScanPartitioning.scala:46)
> at
> org.apache.spark.sql.execution.datasources.v2.V2ScanPartitioning$$anonfun$apply$1.applyOrElse(V2ScanPartitioning.scala:34)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:584)
> {code}
> The CustomPartitioning works fine with Spark 3.2.1
> This PR proposes to relax the code and treat all unknown partitioning the
> same way as that for UnknownPartitioning.
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[jira] [Commented] (SPARK-40508) Treat unknown partitioning as UnknownPartitioning
[
https://issues.apache.org/jira/browse/SPARK-40508?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17607919#comment-17607919
]
Sun Chao commented on SPARK-40508:
--
Great to know. Thanks!
> Treat unknown partitioning as UnknownPartitioning
> -
>
> Key: SPARK-40508
> URL: https://issues.apache.org/jira/browse/SPARK-40508
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
>Affects Versions: 3.3.0
>Reporter: Ted Yu
>Assignee: Ted Yu
>Priority: Major
> Fix For: 3.4.0
>
>
> When running spark application against spark 3.3, I see the following :
> {code}
> java.lang.IllegalArgumentException: Unsupported data source V2 partitioning
> type: CustomPartitioning
> at
> org.apache.spark.sql.execution.datasources.v2.V2ScanPartitioning$$anonfun$apply$1.applyOrElse(V2ScanPartitioning.scala:46)
> at
> org.apache.spark.sql.execution.datasources.v2.V2ScanPartitioning$$anonfun$apply$1.applyOrElse(V2ScanPartitioning.scala:34)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:584)
> {code}
> The CustomPartitioning works fine with Spark 3.2.1
> This PR proposes to relax the code and treat all unknown partitioning the
> same way as that for UnknownPartitioning.
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[jira] [Commented] (SPARK-40508) Treat unknown partitioning as UnknownPartitioning
[
https://issues.apache.org/jira/browse/SPARK-40508?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17607917#comment-17607917
]
Dongjoon Hyun commented on SPARK-40508:
---
Ya, the merge script sometimes hit the corner cases. BTW, [~sunchao] , you are
already in the Apache Spark Admin group. You can add a user.
- [https://issues.apache.org/jira/plugins/servlet/project-config/SPARK/roles]
> Treat unknown partitioning as UnknownPartitioning
> -
>
> Key: SPARK-40508
> URL: https://issues.apache.org/jira/browse/SPARK-40508
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
>Affects Versions: 3.3.0
>Reporter: Ted Yu
>Assignee: Ted Yu
>Priority: Major
> Fix For: 3.4.0
>
>
> When running spark application against spark 3.3, I see the following :
> {code}
> java.lang.IllegalArgumentException: Unsupported data source V2 partitioning
> type: CustomPartitioning
> at
> org.apache.spark.sql.execution.datasources.v2.V2ScanPartitioning$$anonfun$apply$1.applyOrElse(V2ScanPartitioning.scala:46)
> at
> org.apache.spark.sql.execution.datasources.v2.V2ScanPartitioning$$anonfun$apply$1.applyOrElse(V2ScanPartitioning.scala:34)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:584)
> {code}
> The CustomPartitioning works fine with Spark 3.2.1
> This PR proposes to relax the code and treat all unknown partitioning the
> same way as that for UnknownPartitioning.
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[jira] [Commented] (SPARK-40508) Treat unknown partitioning as UnknownPartitioning
[
https://issues.apache.org/jira/browse/SPARK-40508?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17607902#comment-17607902
]
Sun Chao commented on SPARK-40508:
--
Oh, thanks [~viirya] ! For some reason the merge script was throwing error at
me:
{code:java}
response text = {"errorMessages":[],"errors":{"assignee":"User
'yuzhih...@gmail.com' cannot be assigned issues."}}
Error assigning JIRA, try again (or leave blank and fix manually)
JIRA is unassigned, choose assignee
{code}
> Treat unknown partitioning as UnknownPartitioning
> -
>
> Key: SPARK-40508
> URL: https://issues.apache.org/jira/browse/SPARK-40508
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
>Affects Versions: 3.3.0
>Reporter: Ted Yu
>Assignee: Ted Yu
>Priority: Major
> Fix For: 3.4.0
>
>
> When running spark application against spark 3.3, I see the following :
> {code}
> java.lang.IllegalArgumentException: Unsupported data source V2 partitioning
> type: CustomPartitioning
> at
> org.apache.spark.sql.execution.datasources.v2.V2ScanPartitioning$$anonfun$apply$1.applyOrElse(V2ScanPartitioning.scala:46)
> at
> org.apache.spark.sql.execution.datasources.v2.V2ScanPartitioning$$anonfun$apply$1.applyOrElse(V2ScanPartitioning.scala:34)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:584)
> {code}
> The CustomPartitioning works fine with Spark 3.2.1
> This PR proposes to relax the code and treat all unknown partitioning the
> same way as that for UnknownPartitioning.
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[jira] [Commented] (SPARK-40508) Treat unknown partitioning as UnknownPartitioning
[
https://issues.apache.org/jira/browse/SPARK-40508?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17607900#comment-17607900
]
L. C. Hsieh commented on SPARK-40508:
-
[~csun] Seems he is already in contributor list. I just assigned this ticket to
him.
> Treat unknown partitioning as UnknownPartitioning
> -
>
> Key: SPARK-40508
> URL: https://issues.apache.org/jira/browse/SPARK-40508
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
>Affects Versions: 3.3.0
>Reporter: Ted Yu
>Assignee: Ted Yu
>Priority: Major
> Fix For: 3.4.0
>
>
> When running spark application against spark 3.3, I see the following :
> {code}
> java.lang.IllegalArgumentException: Unsupported data source V2 partitioning
> type: CustomPartitioning
> at
> org.apache.spark.sql.execution.datasources.v2.V2ScanPartitioning$$anonfun$apply$1.applyOrElse(V2ScanPartitioning.scala:46)
> at
> org.apache.spark.sql.execution.datasources.v2.V2ScanPartitioning$$anonfun$apply$1.applyOrElse(V2ScanPartitioning.scala:34)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:584)
> {code}
> The CustomPartitioning works fine with Spark 3.2.1
> This PR proposes to relax the code and treat all unknown partitioning the
> same way as that for UnknownPartitioning.
--
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[jira] [Commented] (SPARK-40508) Treat unknown partitioning as UnknownPartitioning
[
https://issues.apache.org/jira/browse/SPARK-40508?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17607895#comment-17607895
]
Apache Spark commented on SPARK-40508:
--
User 'tedyu' has created a pull request for this issue:
https://github.com/apache/spark/pull/37957
> Treat unknown partitioning as UnknownPartitioning
> -
>
> Key: SPARK-40508
> URL: https://issues.apache.org/jira/browse/SPARK-40508
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
>Affects Versions: 3.3.0
>Reporter: Ted Yu
>Priority: Major
> Fix For: 3.4.0
>
>
> When running spark application against spark 3.3, I see the following :
> {code}
> java.lang.IllegalArgumentException: Unsupported data source V2 partitioning
> type: CustomPartitioning
> at
> org.apache.spark.sql.execution.datasources.v2.V2ScanPartitioning$$anonfun$apply$1.applyOrElse(V2ScanPartitioning.scala:46)
> at
> org.apache.spark.sql.execution.datasources.v2.V2ScanPartitioning$$anonfun$apply$1.applyOrElse(V2ScanPartitioning.scala:34)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:584)
> {code}
> The CustomPartitioning works fine with Spark 3.2.1
> This PR proposes to relax the code and treat all unknown partitioning the
> same way as that for UnknownPartitioning.
--
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[jira] [Commented] (SPARK-40508) Treat unknown partitioning as UnknownPartitioning
[
https://issues.apache.org/jira/browse/SPARK-40508?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17607893#comment-17607893
]
Apache Spark commented on SPARK-40508:
--
User 'tedyu' has created a pull request for this issue:
https://github.com/apache/spark/pull/37957
> Treat unknown partitioning as UnknownPartitioning
> -
>
> Key: SPARK-40508
> URL: https://issues.apache.org/jira/browse/SPARK-40508
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
>Affects Versions: 3.3.0
>Reporter: Ted Yu
>Priority: Major
> Fix For: 3.4.0
>
>
> When running spark application against spark 3.3, I see the following :
> {code}
> java.lang.IllegalArgumentException: Unsupported data source V2 partitioning
> type: CustomPartitioning
> at
> org.apache.spark.sql.execution.datasources.v2.V2ScanPartitioning$$anonfun$apply$1.applyOrElse(V2ScanPartitioning.scala:46)
> at
> org.apache.spark.sql.execution.datasources.v2.V2ScanPartitioning$$anonfun$apply$1.applyOrElse(V2ScanPartitioning.scala:34)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:584)
> {code}
> The CustomPartitioning works fine with Spark 3.2.1
> This PR proposes to relax the code and treat all unknown partitioning the
> same way as that for UnknownPartitioning.
--
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[jira] [Commented] (SPARK-40508) Treat unknown partitioning as UnknownPartitioning
[
https://issues.apache.org/jira/browse/SPARK-40508?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17607869#comment-17607869
]
Chao Sun commented on SPARK-40508:
--
[~dongjoon][~viirya] could you add [~yuzhih...@gmail.com] to the contributor
list? I can't assign this to him.
> Treat unknown partitioning as UnknownPartitioning
> -
>
> Key: SPARK-40508
> URL: https://issues.apache.org/jira/browse/SPARK-40508
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
>Affects Versions: 3.3.0
>Reporter: Ted Yu
>Priority: Major
> Fix For: 3.4.0
>
>
> When running spark application against spark 3.3, I see the following :
> {code}
> java.lang.IllegalArgumentException: Unsupported data source V2 partitioning
> type: CustomPartitioning
> at
> org.apache.spark.sql.execution.datasources.v2.V2ScanPartitioning$$anonfun$apply$1.applyOrElse(V2ScanPartitioning.scala:46)
> at
> org.apache.spark.sql.execution.datasources.v2.V2ScanPartitioning$$anonfun$apply$1.applyOrElse(V2ScanPartitioning.scala:34)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:584)
> {code}
> The CustomPartitioning works fine with Spark 3.2.1
> This PR proposes to relax the code and treat all unknown partitioning the
> same way as that for UnknownPartitioning.
--
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[jira] [Commented] (SPARK-40508) Treat unknown partitioning as UnknownPartitioning
[
https://issues.apache.org/jira/browse/SPARK-40508?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17607384#comment-17607384
]
Apache Spark commented on SPARK-40508:
--
User 'tedyu' has created a pull request for this issue:
https://github.com/apache/spark/pull/37952
> Treat unknown partitioning as UnknownPartitioning
> -
>
> Key: SPARK-40508
> URL: https://issues.apache.org/jira/browse/SPARK-40508
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
>Affects Versions: 3.3.0
>Reporter: Ted Yu
>Priority: Major
>
> When running spark application against spark 3.3, I see the following :
> {code}
> java.lang.IllegalArgumentException: Unsupported data source V2 partitioning
> type: CustomPartitioning
> at
> org.apache.spark.sql.execution.datasources.v2.V2ScanPartitioning$$anonfun$apply$1.applyOrElse(V2ScanPartitioning.scala:46)
> at
> org.apache.spark.sql.execution.datasources.v2.V2ScanPartitioning$$anonfun$apply$1.applyOrElse(V2ScanPartitioning.scala:34)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:584)
> {code}
> The CustomPartitioning works fine with Spark 3.2.1
> This PR proposes to relax the code and treat all unknown partitioning the
> same way as that for UnknownPartitioning.
--
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