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angerszhu commented on SPARK-37446:
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Seems has been fixed, will close this
> hive-2.3
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angerszhu resolved SPARK-37446.
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Resolution: Duplicate
> hive-2.3.9 related API use invoke method
> -
angerszhu created SPARK-37446:
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Summary: hive-2.3.9 related API use invoke method
Key: SPARK-37446
URL: https://issues.apache.org/jira/browse/SPARK-37446
Project: Spark
Issue Type: Task
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angerszhu commented on SPARK-37446:
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Raise a pr soon
> hive-2.3.9 related API use inv
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Apache Spark commented on SPARK-37445:
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User 'AngersZh' has created a pull requ
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Apache Spark reassigned SPARK-37445:
Assignee: (was: Apache Spark)
> Update hadoop-profile
> -
>
>
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Apache Spark commented on SPARK-37445:
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User 'AngersZh' has created a pull requ
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Apache Spark reassigned SPARK-37445:
Assignee: Apache Spark
> Update hadoop-profile
> -
>
>
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Gengliang Wang resolved SPARK-37438.
Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 34681
[https:
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Apache Spark commented on SPARK-32079:
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User 'HyukjinKwon' has created a pull reque
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Apache Spark reassigned SPARK-32079:
Assignee: (was: Apache Spark)
> PySpark <> Beam pickling issues for collections.named
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Apache Spark commented on SPARK-32079:
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User 'HyukjinKwon' has created a pull reque
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Apache Spark reassigned SPARK-32079:
Assignee: Apache Spark
> PySpark <> Beam pickling issues for collections.namedtuple
> ---
angerszhu created SPARK-37445:
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Summary: Update hadoop-profile
Key: SPARK-37445
URL: https://issues.apache.org/jira/browse/SPARK-37445
Project: Spark
Issue Type: Task
Components: Build
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angerszhu commented on SPARK-37445:
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Raise a pr soon
> Update hadoop-profile
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Hyukjin Kwon resolved SPARK-27810.
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Resolution: Duplicate
> PySpark breaks Cloudpickle serialization of collections.namedtuple obj
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Hyukjin Kwon resolved SPARK-22674.
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Resolution: Duplicate
> PySpark breaks serialization of namedtuple subclasses
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Hyukjin Kwon commented on SPARK-32079:
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im working on this.
> PySpark <> Beam pick
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Hyukjin Kwon updated SPARK-32079:
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Affects Version/s: 3.3.0
(was: 3.0.0)
> PySpark <> Beam pickling issu
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Apache Spark commented on SPARK-36231:
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User 'Yikun' has created a pull request for
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Apache Spark commented on SPARK-36231:
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User 'Yikun' has created a pull request for
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Apache Spark commented on SPARK-37444:
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User 'imback82' has created a pull request
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Apache Spark reassigned SPARK-37444:
Assignee: (was: Apache Spark)
> ALTER NAMESPACE ... SET LOCATION should handle empty
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Apache Spark reassigned SPARK-37444:
Assignee: Apache Spark
> ALTER NAMESPACE ... SET LOCATION should handle empty location co
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Terry Kim updated SPARK-37444:
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Description: ALTER NAMESPACE ... SET LOCATION should handle empty location
consistently across v1 and
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Terry Kim updated SPARK-37444:
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Summary: ALTER NAMESPACE ... SET LOCATION should handle empty location
consistently across v1 and v2 c
Terry Kim created SPARK-37444:
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Summary: ALTER NAMESPACE ... SET LOCATION handles empty location
consistently across v1 and v2 command
Key: SPARK-37444
URL: https://issues.apache.org/jira/browse/SPARK-37444
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Hyukjin Kwon resolved SPARK-30537.
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Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 34401
[https://gi
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Hyukjin Kwon reassigned SPARK-30537:
Assignee: pralabhkumar
> toPandas gets wrong dtypes when applied on empty DF when Arrow e
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Hyukjin Kwon commented on SPARK-37391:
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cc [~gaborgsomogyi] FYI
> SIGNIFICANT bott
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Hyukjin Kwon resolved SPARK-37337.
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Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 34608
[https://gi
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Hyukjin Kwon reassigned SPARK-37337:
Assignee: Xinrong Meng
> Improve the API of Spark DataFrame to pandas-on-Spark DataFrame
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Apache Spark commented on SPARK-37443:
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User 'ueshin' has created a pull request fo
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Apache Spark reassigned SPARK-37443:
Assignee: (was: Apache Spark)
> Provide a profiler for Python/Pandas UDFs
> -
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Apache Spark reassigned SPARK-37443:
Assignee: Apache Spark
> Provide a profiler for Python/Pandas UDFs
>
Takuya Ueshin created SPARK-37443:
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Summary: Provide a profiler for Python/Pandas UDFs
Key: SPARK-37443
URL: https://issues.apache.org/jira/browse/SPARK-37443
Project: Spark
Issue Type: Impro
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Jungtaek Lim resolved SPARK-37439.
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Resolution: Not A Problem
> org.apache.spark.sql.AnalysisException: Non-time-based windows are
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Jungtaek Lim commented on SPARK-37439:
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Hi,
By time-window we described what time
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Jungtaek Lim resolved SPARK-37441.
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Resolution: Duplicate
> org.apache.spark.sql.AnalysisException: Non-time-based windows are not
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Jungtaek Lim resolved SPARK-37440.
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Resolution: Duplicate
> org.apache.spark.sql.AnalysisException: Non-time-based windows are not
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Kevin Appel commented on SPARK-37259:
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It would be difficult to be able to actually
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Apache Spark reassigned SPARK-37442:
Assignee: (was: Apache Spark)
> In AQE, wrong InMemoryRelation size estimation causes
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Apache Spark reassigned SPARK-37442:
Assignee: Apache Spark
> In AQE, wrong InMemoryRelation size estimation causes "Cannot br
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Apache Spark commented on SPARK-37442:
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User 'ChenMichael' has created a pull reque
Michael Chen created SPARK-37442:
Summary: In AQE, wrong InMemoryRelation size estimation causes
"Cannot broadcast the table that is larger than 8GB: 8 GB" failure
Key: SPARK-37442
URL: https://issues.apache.org/j
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Danny Guinther commented on SPARK-37391:
Here's an example stacktrace for one of
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Danny Guinther commented on SPARK-37391:
[~hyukjin.kwon] , sorry, I seem to have
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Danny Guinther updated SPARK-37391:
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Attachment: so-much-blocking.jpg
> SIGNIFICANT bottleneck introduced by fix for SPARK-32001
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Danny Guinther updated SPARK-37391:
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Attachment: spark-regression-dashes.jpg
> SIGNIFICANT bottleneck introduced by fix for SPARK
Ilya created SPARK-37441:
Summary: org.apache.spark.sql.AnalysisException: Non-time-based
windows are not supported on streaming DataFrames/Datasets;; despite of
time-based window
Key: SPARK-37441
URL: https://issues.apa
Ilya created SPARK-37440:
Summary: org.apache.spark.sql.AnalysisException: Non-time-based
windows are not supported on streaming DataFrames/Datasets;; despite of
time-based window
Key: SPARK-37440
URL: https://issues.apa
Ilya created SPARK-37439:
Summary: org.apache.spark.sql.AnalysisException: Non-time-based
windows are not supported on streaming DataFrames/Datasets;; despite of
time-based window
Key: SPARK-37439
URL: https://issues.apa
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Wenchen Fan reassigned SPARK-37192:
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Assignee: PengLei
> Migrate SHOW TBLPROPERTIES to use V2 command by default
> -
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Wenchen Fan resolved SPARK-37192.
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Resolution: Fixed
Issue resolved by pull request 34666
[https://github.com/apache/spark/pull/346
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Danny Guinther updated SPARK-37391:
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Summary: SIGNIFICANT bottleneck introduced by fix for SPARK-32001 (was:
SIGNIFICANT bottlen
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Hyukjin Kwon edited comment on SPARK-37391 at 11/22/21, 3:21 PM:
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Danny Guinther updated SPARK-37391:
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Description:
The fix for https://issues.apache.org/jira/browse/SPARK-32001 (
[https://githu
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Danny Guinther updated SPARK-37391:
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Description:
The fix for SPARK-34497 (
[https://github.com/apache/spark/pull/29024/files#di
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Nicholas Chammas resolved SPARK-37393.
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Resolution: Duplicate
> Inline annotations for {ml, mllib}/common.py
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Apache Spark commented on SPARK-37283:
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User 'sarutak' has created a pull request f
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Apache Spark commented on SPARK-37283:
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User 'sarutak' has created a pull request f
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Marek Novotny commented on SPARK-35885:
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[~dongjoon] FYI, buster-cran35 is signed
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Wenchen Fan resolved SPARK-36357.
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Fix Version/s: 3.3.0
Assignee: jiaan.geng
Resolution: Fixed
> Support pushdown T
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caican commented on SPARK-37382:
[~victor-wong] Does the images display nomally now?
>
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caican updated SPARK-37382:
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Description:
In Spark3.1, the `with as` clause in the same SQL is executed multiple times,
got different r
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caican updated SPARK-37382:
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Attachment: spark2.3.png
> `with as` clause got inconsistent results
> -
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caican updated SPARK-37382:
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Attachment: spark3.1.png
> `with as` clause got inconsistent results
> -
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caican commented on SPARK-37382:
[~zhenw] Thank you for your reply, i will test it out.
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Apache Spark reassigned SPARK-37438:
Assignee: Apache Spark (was: Gengliang Wang)
> ANSI mode: Use store assignment rules for
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Apache Spark commented on SPARK-37438:
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User 'gengliangwang' has created a pull req
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Apache Spark reassigned SPARK-37438:
Assignee: Gengliang Wang (was: Apache Spark)
> ANSI mode: Use store assignment rules for
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Gengliang Wang updated SPARK-37438:
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Description:
Under ANSI mode(spark.sql.ansi.enabled=true), the function invocation of Spark
Gengliang Wang created SPARK-37438:
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Summary: ANSI mode: Use store assignment rules for resolving
function invocation
Key: SPARK-37438
URL: https://issues.apache.org/jira/browse/SPARK-37438
Project:
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Wenchen Fan resolved SPARK-37388.
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Fix Version/s: 3.1.3
3.2.1
3.3.0
Assignee: Tom van
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