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Hyukjin Kwon commented on SPARK-40502:
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{quote}
For some reasons, i can't using DataFrame API, only
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Hyukjin Kwon updated SPARK-40499:
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Priority: Major (was: Blocker)
> Spark 3.2.1 percentlie_approx query much slower than Spark
Jungtaek Lim created SPARK-40509:
Summary: Construct an example of applyInPandasWithState in
examples directory
Key: SPARK-40509
URL: https://issues.apache.org/jira/browse/SPARK-40509
Project: Spark
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Hyukjin Kwon reassigned SPARK-40491:
Assignee: jiaan.geng
> Remove too old TODO for JdbcRDD
> ---
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Apache Spark commented on SPARK-40332:
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User 'zhengruifeng' has created a pull request for this
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BingKun Pan updated SPARK-40501:
Summary: Enhance 'SpecialLimits' to support project(..., limit(...)) (was:
Add
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Apache Spark commented on SPARK-40510:
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User 'zhengruifeng' has created a pull request for this
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Apache Spark reassigned SPARK-40510:
Assignee: (was: Apache Spark)
> Implement `ddof` in `Series.cov`
>
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Apache Spark reassigned SPARK-40510:
Assignee: Apache Spark
> Implement `ddof` in `Series.cov`
>
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Apache Spark commented on SPARK-40510:
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User 'zhengruifeng' has created a pull request for this
Ruifeng Zheng created SPARK-40510:
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Summary: Implement `ddof` in `Series.cov`
Key: SPARK-40510
URL: https://issues.apache.org/jira/browse/SPARK-40510
Project: Spark
Issue Type: Sub-task
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Hyukjin Kwon reassigned SPARK-40500:
Assignee: Ruifeng Zheng
> Use `pd.items` instead of `pd.iteritems`
>
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Hyukjin Kwon resolved SPARK-40500.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 37947
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Hyukjin Kwon resolved SPARK-40491.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 37937
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Apache Spark commented on SPARK-40332:
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User 'zhengruifeng' has created a pull request for this
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王俊博 updated SPARK-40506:
Description:
Spark StreamingSource Metrics sourceName is inappropriate.The label now looks
like
Yang Jie created SPARK-40511:
Summary: Upgrade slf4j to 2.x
Key: SPARK-40511
URL: https://issues.apache.org/jira/browse/SPARK-40511
Project: Spark
Issue Type: Improvement
Components:
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Wenchen Fan resolved SPARK-40496.
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Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 37942
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Wenchen Fan reassigned SPARK-40496:
---
Assignee: Ivan Sadikov
> Configs to control "enableDateTimeParsingFallback" are
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Apache Spark reassigned SPARK-40511:
Assignee: Apache Spark
> Upgrade slf4j to 2.x
>
>
>
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Apache Spark commented on SPARK-40511:
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User 'LuciferYang' has created a pull request for this
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Apache Spark reassigned SPARK-40511:
Assignee: (was: Apache Spark)
> Upgrade slf4j to 2.x
>
>
>
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CaoYu commented on SPARK-40502:
---
I am a teacher
Recently designed Python language basic course, big data
Yang Jie created SPARK-40497:
Summary: Upgrade Scala to 2.13.9
Key: SPARK-40497
URL: https://issues.apache.org/jira/browse/SPARK-40497
Project: Spark
Issue Type: Improvement
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xuanzhiang updated SPARK-40499:
---
Attachment: spark2.4-shuffle-data.png
> Spark 3.2.1 percentlie_approx query much slower than Spark
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xuanzhiang updated SPARK-40499:
---
Description:
spark.sql(
s"""
|SELECT
| Info ,
|
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Apache Spark commented on SPARK-40419:
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User 'itholic' has created a pull request for this issue:
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Apache Spark commented on SPARK-40496:
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User 'sadikovi' has created a pull request for this issue:
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Apache Spark reassigned SPARK-40497:
Assignee: (was: Apache Spark)
> Upgrade Scala to 2.13.9
> ---
>
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Apache Spark reassigned SPARK-40497:
Assignee: Apache Spark
> Upgrade Scala to 2.13.9
> ---
>
>
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Apache Spark commented on SPARK-40497:
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User 'LuciferYang' has created a pull request for this
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Apache Spark commented on SPARK-40497:
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User 'LuciferYang' has created a pull request for this
Ruifeng Zheng created SPARK-40498:
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Summary: Implement `kendall` and `min_periods` in `Series.corr`
Key: SPARK-40498
URL: https://issues.apache.org/jira/browse/SPARK-40498
Project: Spark
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Apache Spark commented on SPARK-40419:
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User 'itholic' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-40495?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-40495:
Assignee: Apache Spark
> Add additional tests to StreamingSessionWindowSuite
>
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Apache Spark reassigned SPARK-40495:
Assignee: (was: Apache Spark)
> Add additional tests to StreamingSessionWindowSuite
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Apache Spark commented on SPARK-40495:
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User 'WweiL' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-40486?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ruifeng Zheng resolved SPARK-40486.
---
Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 37929
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Ruifeng Zheng reassigned SPARK-40486:
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Assignee: Ruifeng Zheng
> Implement `spearman` and `kendall` in `DataFrame.corrwith`
>
Ivan Sadikov created SPARK-40496:
Summary: Configs to control "enableDateTimeParsingFallback" are
incorrectly swapped
Key: SPARK-40496
URL: https://issues.apache.org/jira/browse/SPARK-40496
Project:
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Apache Spark reassigned SPARK-40496:
Assignee: (was: Apache Spark)
> Configs to control "enableDateTimeParsingFallback"
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Apache Spark reassigned SPARK-40496:
Assignee: Apache Spark
> Configs to control "enableDateTimeParsingFallback" are
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https://issues.apache.org/jira/browse/SPARK-40496?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17606962#comment-17606962
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Apache Spark commented on SPARK-40496:
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User 'sadikovi' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-40489?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17606973#comment-17606973
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Piotr Karwasz commented on SPARK-40489:
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[~kabhwan],
The code snippet I posted above (using
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jiaan.geng updated SPARK-40491:
---
Summary: Remove too old TODO for JdbcRDD (was: Remove too old todo
comments for JdbcRDD)
> Remove
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Apache Spark commented on SPARK-40498:
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User 'zhengruifeng' has created a pull request for this
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Apache Spark reassigned SPARK-40498:
Assignee: Apache Spark
> Implement `kendall` and `min_periods` in `Series.corr`
>
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Apache Spark commented on SPARK-40498:
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User 'zhengruifeng' has created a pull request for this
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Apache Spark reassigned SPARK-40498:
Assignee: (was: Apache Spark)
> Implement `kendall` and `min_periods` in
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xuanzhiang updated SPARK-40499:
---
Attachment: spark3.2-shuffle-data.png
> Spark 3.2.1 percentlie_approx query much slower than Spark
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xuanzhiang updated SPARK-40499:
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Environment:
hadoop: 3.0.0
spark: 2.4.0 / 3.2.1
shuffle：spark 2.4.0
was:
hadoop 3.0.0
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Wei Liu commented on SPARK-40495:
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Hi there, this is my first time to contribute to OSS spark. I'm not
Wei Liu created SPARK-40495:
---
Summary: Add additional tests to StreamingSessionWindowSuite
Key: SPARK-40495
URL: https://issues.apache.org/jira/browse/SPARK-40495
Project: Spark
Issue Type: Test
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jiaan.geng updated SPARK-40491:
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Summary: Remove too old todo comments for JdbcRDD (was: Expose a jdbcRDD
function in SparkContext)
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jiaan.geng updated SPARK-40491:
---
Description:
According to the legacy document of JdbcRDD, we need to expose a jdbcRDD
function in
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xuanzhiang updated SPARK-40499:
---
Environment:
hadoop 3.0.0
spark2.4.0 / spark3.2.1
shuffle： spark2.4.0
xuanzhiang created SPARK-40499:
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Summary: Spark 3.2.1 percentlie_approx query much slower than
Spark 2.4.0
Key: SPARK-40499
URL: https://issues.apache.org/jira/browse/SPARK-40499
Project: Spark
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xuanzhiang updated SPARK-40499:
---
Priority: Blocker (was: Minor)
> Spark 3.2.1 percentlie_approx query much slower than Spark 2.4.0
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xuanzhiang updated SPARK-40499:
---
Priority: Major (was: Blocker)
> Spark 3.2.1 percentlie_approx query much slower than Spark 2.4.0
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BingKun Pan updated SPARK-40501:
Summary: Add PushProjectionThroughLimit for Optimizer (was: add
PushProjectionThroughLimit for
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Apache Spark commented on SPARK-40505:
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User 'bryanck' has created a pull request for this issue:
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Apache Spark reassigned SPARK-40505:
Assignee: Apache Spark
> Remove min heap setting in Kubernetes Dockerfile entrypoint
>
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Apache Spark reassigned SPARK-40505:
Assignee: (was: Apache Spark)
> Remove min heap setting in Kubernetes Dockerfile
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Apache Spark commented on SPARK-40505:
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User 'bryanck' has created a pull request for this issue:
王俊博 created SPARK-40506:
---
Summary: Spark Streaming Metrics SourceName is unsuitable
Key: SPARK-40506
URL: https://issues.apache.org/jira/browse/SPARK-40506
Project: Spark
Issue Type: Improvement
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Apache Spark reassigned SPARK-40506:
Assignee: (was: Apache Spark)
> Spark Streaming metrics name don't need application
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Apache Spark commented on SPARK-40506:
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User 'Kwafoor' has created a pull request for this issue:
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Apache Spark reassigned SPARK-40506:
Assignee: Apache Spark
> Spark Streaming metrics name don't need application name
>
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BingKun Pan updated SPARK-40501:
Description:
h4. It took a long time to fetch out, still running after 20 minutes...
when run as
Bryan Keller created SPARK-40505:
Summary: Remove min heap setting in Kubernetes Dockerfile
entrypoint
Key: SPARK-40505
URL: https://issues.apache.org/jira/browse/SPARK-40505
Project: Spark
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王俊博 updated SPARK-40506:
Description:
Spark StreamingSource Metrics sourceName is inappropriate.The label now looks
like
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王俊博 updated SPARK-40506:
Summary: Spark Streaming metrics name don't need application name (was:
Spark Streaming Metrics SourceName is
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Apache Spark commented on SPARK-40327:
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User 'zhengruifeng' has created a pull request for this
zhengchenyu created SPARK-40504:
---
Summary: Make yarn appmaster load config from client
Key: SPARK-40504
URL: https://issues.apache.org/jira/browse/SPARK-40504
Project: Spark
Issue Type:
Ruifeng Zheng created SPARK-40500:
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Summary: Use `pd.items` instead of `pd.iteritems`
Key: SPARK-40500
URL: https://issues.apache.org/jira/browse/SPARK-40500
Project: Spark
Issue Type:
BingKun Pan created SPARK-40501:
---
Summary: add PushProjectionThroughLimit for Optimizer
Key: SPARK-40501
URL: https://issues.apache.org/jira/browse/SPARK-40501
Project: Spark
Issue Type:
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xuanzhiang updated SPARK-40499:
---
Priority: Blocker (was: Major)
> Spark 3.2.1 percentlie_approx query much slower than Spark 2.4.0
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https://issues.apache.org/jira/browse/SPARK-40457?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17607082#comment-17607082
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Bilna commented on SPARK-40457:
---
[~hyukjin.kwon] it is org.codehaus.jackson:jackson-mapper-asl:jar:1.9.13
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zhengchenyu updated SPARK-40504:
Description:
In yarn federation mode, config in client side and nm side may be different.
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BingKun Pan updated SPARK-40501:
Description:
h4. It took a long time to fetch out
when run as follow code in spark-shell:
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Apache Spark reassigned SPARK-40500:
Assignee: (was: Apache Spark)
> Use `pd.items` instead of `pd.iteritems`
>
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Apache Spark reassigned SPARK-40500:
Assignee: Apache Spark
> Use `pd.items` instead of `pd.iteritems`
>
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Apache Spark reassigned SPARK-40501:
Assignee: (was: Apache Spark)
> add PushProjectionThroughLimit for Optimizer
>
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Apache Spark commented on SPARK-40501:
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User 'panbingkun' has created a pull request for this
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Apache Spark commented on SPARK-40500:
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User 'zhengruifeng' has created a pull request for this
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Apache Spark reassigned SPARK-40501:
Assignee: Apache Spark
> add PushProjectionThroughLimit for Optimizer
>
CaoYu created SPARK-40502:
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Summary: Support dataframe API use jdbc data source in PySpark
Key: SPARK-40502
URL: https://issues.apache.org/jira/browse/SPARK-40502
Project: Spark
Issue Type: New
Ruifeng Zheng created SPARK-40503:
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Summary: Add resampling to API references
Key: SPARK-40503
URL: https://issues.apache.org/jira/browse/SPARK-40503
Project: Spark
Issue Type: Sub-task
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https://issues.apache.org/jira/browse/SPARK-40504?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-40504:
Assignee: Apache Spark
> Make yarn appmaster load config from client
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https://issues.apache.org/jira/browse/SPARK-40504?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17607092#comment-17607092
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Apache Spark commented on SPARK-40504:
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User 'zhengchenyu' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-40491?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17607045#comment-17607045
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CaoYu commented on SPARK-40491:
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Maybe we can just not remove these.
I have already created
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https://issues.apache.org/jira/browse/SPARK-40327?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17607077#comment-17607077
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Apache Spark commented on SPARK-40327:
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User 'zhengruifeng' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-40327?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-40327:
Assignee: (was: Apache Spark)
> Increase pandas API coverage for pandas API on Spark
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https://issues.apache.org/jira/browse/SPARK-40327?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-40327:
Assignee: Apache Spark
> Increase pandas API coverage for pandas API on Spark
>
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https://issues.apache.org/jira/browse/SPARK-40504?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-40504:
Assignee: (was: Apache Spark)
> Make yarn appmaster load config from client
>
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https://issues.apache.org/jira/browse/SPARK-40439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17607314#comment-17607314
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xsys edited comment on SPARK-40439 at 9/20/22 5:17 PM:
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[~hyukjin.kwon]: Thank you
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https://issues.apache.org/jira/browse/SPARK-40439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17607314#comment-17607314
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xsys edited comment on SPARK-40439 at 9/20/22 5:18 PM:
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[~hyukjin.kwon]: Thank you
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https://issues.apache.org/jira/browse/SPARK-31404?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17607326#comment-17607326
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Sachit commented on SPARK-31404:
Hi [~cloud_fan] ,
Could you please confirm if we need to use below
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https://issues.apache.org/jira/browse/SPARK-40439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17607314#comment-17607314
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xsys edited comment on SPARK-40439 at 9/20/22 5:20 PM:
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[~hyukjin.kwon]: Thank you
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https://issues.apache.org/jira/browse/SPARK-40439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17607314#comment-17607314
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xsys edited comment on SPARK-40439 at 9/20/22 5:20 PM:
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[~hyukjin.kwon]: Thank you
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