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Apache Spark commented on SPARK-36006:
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User 'imback82' has created a pull request for this issue:
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Apache Spark commented on SPARK-36006:
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User 'imback82' has created a pull request for this issue:
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Apache Spark reassigned SPARK-36006:
Assignee: (was: Apache Spark)
> Migrate ALTER TABLE ADD/RENAME COLUMNS command to
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Apache Spark reassigned SPARK-36006:
Assignee: Apache Spark
> Migrate ALTER TABLE ADD/RENAME COLUMNS command to the new
Terry Kim created SPARK-36006:
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Summary: Migrate ALTER TABLE ADD/RENAME COLUMNS command to the
new resolution framework
Key: SPARK-36006
URL: https://issues.apache.org/jira/browse/SPARK-36006
Project:
Sun BiaoBiao created SPARK-36005:
Summary: in spark3.1.2 version The canCast method of type of
char/varchar needs to be consistent with StringType
Key: SPARK-36005
URL:
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Apache Spark commented on SPARK-36004:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark reassigned SPARK-36004:
Assignee: Apache Spark (was: Dongjoon Hyun)
> Update MiMa and audit Scala/Java API
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Apache Spark reassigned SPARK-36004:
Assignee: Dongjoon Hyun (was: Apache Spark)
> Update MiMa and audit Scala/Java API
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Dongjoon Hyun reassigned SPARK-36004:
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Assignee: Dongjoon Hyun
> Update MiMa and audit API changes
>
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Dongjoon Hyun updated SPARK-36004:
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Summary: Update MiMa and audit Scala/Java API changes (was: Update MiMa
and audit API
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Dongjoon Hyun updated SPARK-36004:
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Target Version/s: 3.2.0
> Update MiMa and audit API changes
>
Dongjoon Hyun created SPARK-36004:
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Summary: Update MiMa and audit API changes
Key: SPARK-36004
URL: https://issues.apache.org/jira/browse/SPARK-36004
Project: Spark
Issue Type: Bug
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t oo updated SPARK-35974:
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Affects Version/s: (was: 2.4.6)
2.4.8
Description:
{code:java}
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t oo reopened SPARK-35974:
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v2.4.8 is less than 2 months old
> Spark submit REST cluster/standalone mode - launching an s3a jar with STS
>
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Jungtaek Lim commented on SPARK-35993:
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Thanks for reporting [~gsomogyi]! The test is marked as
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Jungtaek Lim updated SPARK-35993:
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Affects Version/s: (was: 3.1.2)
3.2.0
> Flaky test:
>
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Jim Kleckner commented on SPARK-33349:
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[~redsk] can you confirm that
Xinrong Meng created SPARK-36003:
Summary: Implement unary operator `invert` of numeric
ps.Series/Index
Key: SPARK-36003
URL: https://issues.apache.org/jira/browse/SPARK-36003
Project: Spark
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Xinrong Meng commented on SPARK-36002:
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How do you think about that? [~yikunkero]
> Consolidate
Xinrong Meng created SPARK-36002:
Summary: Consolidate tests for data-type-based operations of
decimal Series
Key: SPARK-36002
URL: https://issues.apache.org/jira/browse/SPARK-36002
Project: Spark
Xinrong Meng created SPARK-36001:
Summary: Assume result's index to be disordered in tests with
operations on different Series
Key: SPARK-36001
URL: https://issues.apache.org/jira/browse/SPARK-36001
Xinrong Meng created SPARK-36000:
Summary: Support creating a ps.Series/Index with `Decimal('NaN')`
with Arrow disabled
Key: SPARK-36000
URL: https://issues.apache.org/jira/browse/SPARK-36000
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Dongjoon Hyun resolved SPARK-35996.
---
Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 33196
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Dongjoon Hyun reassigned SPARK-35996:
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Assignee: Dongjoon Hyun
> Setting version to 3.3.0-SNAPSHOT
>
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Apache Spark commented on SPARK-35995:
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User 'ueshin' has created a pull request for this issue:
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Apache Spark commented on SPARK-35995:
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User 'ueshin' has created a pull request for this issue:
Kousuke Saruta created SPARK-35999:
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Summary: Make from_csv/to_csv to handle day-time intervals properly
Key: SPARK-35999
URL: https://issues.apache.org/jira/browse/SPARK-35999
Project: Spark
Kousuke Saruta created SPARK-35998:
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Summary: Make from_csv/to_csv to handle year-month intervals
properly
Key: SPARK-35998
URL: https://issues.apache.org/jira/browse/SPARK-35998
Project: Spark
Xinrong Meng created SPARK-35997:
Summary: Implement comparison operators for CategoricalDtype in
pandas API on Spark
Key: SPARK-35997
URL: https://issues.apache.org/jira/browse/SPARK-35997
Project:
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Apache Spark commented on SPARK-35996:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark commented on SPARK-35996:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark reassigned SPARK-35996:
Assignee: Apache Spark
> Setting version to 3.3.0-SNAPSHOT
>
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Apache Spark reassigned SPARK-35996:
Assignee: (was: Apache Spark)
> Setting version to 3.3.0-SNAPSHOT
>
Dongjoon Hyun created SPARK-35996:
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Summary: Setting version to 3.3.0-SNAPSHOT
Key: SPARK-35996
URL: https://issues.apache.org/jira/browse/SPARK-35996
Project: Spark
Issue Type: Task
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Dongjoon Hyun resolved SPARK-35990.
---
Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 33190
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Dongjoon Hyun resolved SPARK-35995.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 33194
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Dongjoon Hyun reassigned SPARK-35995:
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Assignee: Dongjoon Hyun
> Enable GitHub Action build_and_test on branch-3.2
>
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Dongjoon Hyun updated SPARK-35994:
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Fix Version/s: (was: 3.3.0)
3.2.0
> Publish snapshot from branch-3.2
>
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Dongjoon Hyun resolved SPARK-35994.
---
Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 33192
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Dongjoon Hyun reassigned SPARK-35994:
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Assignee: Dongjoon Hyun
> Publish snapshot from branch-3.2
>
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Apache Spark commented on SPARK-35995:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark commented on SPARK-35785:
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User 'viirya' has created a pull request for this issue:
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Apache Spark commented on SPARK-35981:
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User 'ueshin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-35995:
Assignee: (was: Apache Spark)
> Enable GitHub Action build_and_test on branch-3.2
>
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Apache Spark reassigned SPARK-35995:
Assignee: Apache Spark
> Enable GitHub Action build_and_test on branch-3.2
>
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Apache Spark commented on SPARK-35981:
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User 'ueshin' has created a pull request for this issue:
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Apache Spark commented on SPARK-35995:
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User 'dongjoon-hyun' has created a pull request for this
Dongjoon Hyun created SPARK-35995:
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Summary: Enable GitHub Action build_and_test on branch-3.2
Key: SPARK-35995
URL: https://issues.apache.org/jira/browse/SPARK-35995
Project: Spark
Issue
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Apache Spark reassigned SPARK-35994:
Assignee: Apache Spark
> Publish snapshot from branch-3.2
>
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Apache Spark reassigned SPARK-35994:
Assignee: (was: Apache Spark)
> Publish snapshot from branch-3.2
>
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Apache Spark commented on SPARK-35994:
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User 'dongjoon-hyun' has created a pull request for this
Dongjoon Hyun created SPARK-35994:
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Summary: Publish snapshot from branch-3.2
Key: SPARK-35994
URL: https://issues.apache.org/jira/browse/SPARK-35994
Project: Spark
Issue Type: Bug
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Dongjoon Hyun resolved SPARK-35992.
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Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 33189
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Dongjoon Hyun reassigned SPARK-35992:
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Assignee: Dongjoon Hyun
> Upgrade ORC to 1.6.9
>
>
>
ema}} of the {{FileScan}} is empty, partition
> filters are not pushed down and all data is scanned.
> Some examples where this happens:
> {code:java}
> scala> spark.sql("SELECT count(*) FROM parq WHERE day=20210702").explain
> == Physical Plan ==
> *(2
So when the {{readDataSchema}} of the {{FileScan}} is empty, partition
> filters are not pushed down and all data is scanned.
> Some examples where this happens:
> {code:java}
> scala> spark.sql("SELECT count(*) FROM parq WHERE day=20210702").explain
> == Physic
only wants to know
> how many entries there are, and is not interested of their context.
> So when the {{readDataSchema}} of the {{FileScan}} is empty, partition
> filters are not pushed down and all data is scanned.
> Some examples where this happens:
> {code:java}
> scala> spark.sql("SELECT c
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Mike Pieters commented on SPARK-34883:
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I've got the same error here when I try to run:
{code:java}
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Mike Pieters commented on SPARK-23814:
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I also got the same error in version 3.0.1
> Couldn't read
Gabor Somogyi created SPARK-35993:
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Summary: Flaky test:
org.apache.spark.sql.execution.streaming.state.RocksDBSuite.ensure that
concurrent update and cleanup consistent versions
Key: SPARK-35993
URL:
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Apache Spark commented on SPARK-35990:
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User 'sarutak' has created a pull request for this issue:
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Apache Spark reassigned SPARK-35990:
Assignee: Apache Spark (was: Kousuke Saruta)
> Remove avro-sbt plugin dependency
>
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Apache Spark commented on SPARK-35990:
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User 'sarutak' has created a pull request for this issue:
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Apache Spark reassigned SPARK-35990:
Assignee: Kousuke Saruta (was: Apache Spark)
> Remove avro-sbt plugin dependency
>
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Dongjoon Hyun updated SPARK-35992:
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Description: This issue aims to upgrade Apache ORC to 1.6.9 to bring ORC
encryption masking
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Dongjoon Hyun updated SPARK-35992:
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Priority: Critical (was: Major)
> Upgrade ORC to 1.6.9
>
>
>
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Apache Spark reassigned SPARK-35992:
Assignee: (was: Apache Spark)
> Upgrade ORC to 1.6.9
>
>
>
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Apache Spark reassigned SPARK-35992:
Assignee: Apache Spark
> Upgrade ORC to 1.6.9
>
>
>
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Apache Spark commented on SPARK-35992:
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User 'dongjoon-hyun' has created a pull request for this
Dongjoon Hyun created SPARK-35992:
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Summary: Upgrade ORC to 1.6.9
Key: SPARK-35992
URL: https://issues.apache.org/jira/browse/SPARK-35992
Project: Spark
Issue Type: Bug
Components:
angerszhu created SPARK-35991:
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Summary: Add PlanStability suite for TPCH
Key: SPARK-35991
URL: https://issues.apache.org/jira/browse/SPARK-35991
Project: Spark
Issue Type: Bug
Kousuke Saruta created SPARK-35990:
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Summary: Remove avro-sbt plugin dependency
Key: SPARK-35990
URL: https://issues.apache.org/jira/browse/SPARK-35990
Project: Spark
Issue Type:
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HonglunChen commented on SPARK-34632:
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Yes, we can do that. I just want Spark to support this by
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Apache Spark commented on SPARK-35989:
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User 'ulysses-you' has created a pull request for this
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Apache Spark reassigned SPARK-35989:
Assignee: Apache Spark
> Do not remove REPARTITION_BY_NUM shuffle if AQE is enabled
>
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Apache Spark reassigned SPARK-35989:
Assignee: (was: Apache Spark)
> Do not remove REPARTITION_BY_NUM shuffle if AQE is
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dzcxzl commented on SPARK-34632:
You can use the default Authenticator to get the username through ugi.
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XiDuo You updated SPARK-35989:
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Description: The shuffle origin is `REPARTITION_BY_NUM` if user specify an
exact partition number
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XiDuo You updated SPARK-35989:
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Environment: (was: The shuffle origin is `REPARTITION_BY_NUM` if user
specify an exact partition
XiDuo You created SPARK-35989:
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Summary: Do not remove REPARTITION_BY_NUM shuffle if AQE is enabled
Key: SPARK-35989
URL: https://issues.apache.org/jira/browse/SPARK-35989
Project: Spark
Issue
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Apache Spark reassigned SPARK-35988:
Assignee: (was: Apache Spark)
> The implementation for RocksDBStateStoreProvider
>
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Apache Spark commented on SPARK-35988:
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User 'xuanyuanking' has created a pull request for this
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Apache Spark reassigned SPARK-35988:
Assignee: Apache Spark
> The implementation for RocksDBStateStoreProvider
>
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Apache Spark commented on SPARK-35988:
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User 'xuanyuanking' has created a pull request for this
Yuanjian Li created SPARK-35988:
---
Summary: The implementation for RocksDBStateStoreProvider
Key: SPARK-35988
URL: https://issues.apache.org/jira/browse/SPARK-35988
Project: Spark
Issue Type:
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Apache Spark commented on SPARK-35987:
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User 'gengliangwang' has created a pull request for this
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Apache Spark reassigned SPARK-35987:
Assignee: Apache Spark (was: Gengliang Wang)
> The ANSI flags of Sum and Avg should be
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Apache Spark commented on SPARK-35987:
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User 'gengliangwang' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-35987?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-35987:
Assignee: Gengliang Wang (was: Apache Spark)
> The ANSI flags of Sum and Avg should be
Gengliang Wang created SPARK-35987:
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Summary: The ANSI flags of Sum and Avg should be kept after being
copied
Key: SPARK-35987
URL: https://issues.apache.org/jira/browse/SPARK-35987
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-35981?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-35981.
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Fix Version/s: 3.2.0
Assignee: Takuya Ueshin
Resolution: Fixed
Fixed in
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https://issues.apache.org/jira/browse/SPARK-35986?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-35986:
Assignee: (was: Apache Spark)
> fix pyspark.rdd.RDD.histogram's buckets argument
>
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https://issues.apache.org/jira/browse/SPARK-35986?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-35986:
Assignee: Apache Spark
> fix pyspark.rdd.RDD.histogram's buckets argument
>
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https://issues.apache.org/jira/browse/SPARK-35986?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17373352#comment-17373352
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Tomas Pereira de Vasconcelos commented on SPARK-35986:
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Pull request:
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https://issues.apache.org/jira/browse/SPARK-35986?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17373353#comment-17373353
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Apache Spark commented on SPARK-35986:
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User 'tpvasconcelos' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-35986?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Tomas Pereira de Vasconcelos updated SPARK-35986:
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Description:
I originally opened an issue and created a PR in
Tomas Pereira de Vasconcelos created SPARK-35986:
Summary: fix pyspark.rdd.RDD.histogram's buckets argument
Key: SPARK-35986
URL: https://issues.apache.org/jira/browse/SPARK-35986
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https://issues.apache.org/jira/browse/SPARK-35785?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jungtaek Lim updated SPARK-35785:
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Fix Version/s: 3.2.0
> Cleanup support for RocksDB instance
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https://issues.apache.org/jira/browse/SPARK-35785?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17373319#comment-17373319
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Apache Spark commented on SPARK-35785:
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User 'xuanyuanking' has created a pull request for this
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