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Saisai Shao commented on SPARK-25299:
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[~jealous] Can we have a doc about this proposed solution for
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Hyukjin Kwon updated SPARK-26449:
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Summary: Missing Dataframe.transform API in Python API (was:
Dataframe.transform)
> Missing
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Hyukjin Kwon resolved SPARK-26452.
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Resolution: Invalid
Please don't just copy and paste the error message. Include information
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Hyukjin Kwon commented on SPARK-26449:
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Seems like Scala side has it but Python doesn't. Can you
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Hyukjin Kwon updated SPARK-26449:
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Issue Type: Improvement (was: New Feature)
> Missing Dataframe.transform API in Python API
>
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Hyukjin Kwon updated SPARK-26449:
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Labels: (was: patch)
> Missing Dataframe.transform API in Python API
>
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Hyukjin Kwon updated SPARK-26449:
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Component/s: PySpark
> Missing Dataframe.transform API in Python API
>
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https://issues.apache.org/jira/browse/SPARK-26438?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16729300#comment-16729300
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Hyukjin Kwon commented on SPARK-26438:
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Let's ask a question to Spark mailing list before filing an
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Hyukjin Kwon resolved SPARK-26438.
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Resolution: Invalid
> Driver waits to spark.sql.broadcastTimeout before throwing
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https://issues.apache.org/jira/browse/SPARK-26268?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16729297#comment-16729297
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Peiyu Zhuang commented on SPARK-26268:
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Check
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Peiyu Zhuang edited comment on SPARK-25299 at 12/27/18 3:31 AM:
We are
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Carson Wang commented on SPARK-25299:
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I am on a vacation and will be back on January 2, 2019.
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Peiyu Zhuang commented on SPARK-25299:
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We are currently working on a solution that is similar to
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Wenchen Fan resolved SPARK-26424.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 23358
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Wenchen Fan reassigned SPARK-26424:
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Assignee: Maxim Gekk
> Use java.time API in timestamp/date functions
>
tommy duan created SPARK-26452:
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Summary: Suppressing exception in finally: Java heap space
java.lang.OutOfMemoryError: Java heap space
Key: SPARK-26452
URL: https://issues.apache.org/jira/browse/SPARK-26452
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wuyi updated SPARK-26439:
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Description:
Currently, Barrier TaskSet has a hard requirement that tasks can only be
launched
in a single
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Jacky Li commented on SPARK-24630:
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Actually I encountered this scenario earlier, so we have
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wuyi updated SPARK-26439:
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Summary: Introduce WorkerOffer reservation mechanism for Barrier TaskSet
(was: Introduce WorkOffer reservation
Deepyaman Datta created SPARK-26451:
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Summary: Change lead/lag argument name from count to offset
Key: SPARK-26451
URL: https://issues.apache.org/jira/browse/SPARK-26451
Project: Spark
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Bruce Robbins updated SPARK-26378:
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Description:
A recent change significantly slowed the queries of wide CSV tables. For
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Bruce Robbins updated SPARK-26378:
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Summary: Queries of wide CSV/JSON data slowed after SPARK-26151 (was:
Queries of wide CSV
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Apache Spark reassigned SPARK-26451:
Assignee: (was: Apache Spark)
> Change lead/lag argument name from count to offset
>
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Apache Spark reassigned SPARK-26451:
Assignee: Apache Spark
> Change lead/lag argument name from count to offset
>
Bruce Robbins created SPARK-26450:
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Summary: Map of schema is built too frequently in some wide queries
Key: SPARK-26450
URL: https://issues.apache.org/jira/browse/SPARK-26450
Project: Spark
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Hanan Shteingart updated SPARK-26449:
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Shepherd: Maciej Szymkiewicz (was: Lazy Developer)
> Dataframe.transform
>
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Hanan Shteingart updated SPARK-26449:
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Shepherd: Lazy Developer (was: yc)
> Dataframe.transform
> ---
>
>
Hanan Shteingart created SPARK-26449:
Summary: Dataframe.transform
Key: SPARK-26449
URL: https://issues.apache.org/jira/browse/SPARK-26449
Project: Spark
Issue Type: New Feature
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https://issues.apache.org/jira/browse/SPARK-23959?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16729148#comment-16729148
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Sam hendley commented on SPARK-23959:
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I am working on upgrading a medium sized project from spark
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Apache Spark reassigned SPARK-26448:
Assignee: Wenchen Fan (was: Apache Spark)
> retain the difference between 0.0 and -0.0
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Apache Spark reassigned SPARK-26448:
Assignee: Apache Spark (was: Wenchen Fan)
> retain the difference between 0.0 and -0.0
Wenchen Fan created SPARK-26448:
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Summary: retain the difference between 0.0 and -0.0
Key: SPARK-26448
URL: https://issues.apache.org/jira/browse/SPARK-26448
Project: Spark
Issue Type:
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Apache Spark reassigned SPARK-26447:
Assignee: (was: Apache Spark)
> Allow OrcColumnarBatchReader to return less
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Apache Spark reassigned SPARK-26447:
Assignee: Apache Spark
> Allow OrcColumnarBatchReader to return less partition columns
>
Gengliang Wang created SPARK-26447:
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Summary: Allow OrcColumnarBatchReader to return less partition
columns
Key: SPARK-26447
URL: https://issues.apache.org/jira/browse/SPARK-26447
Project: Spark
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Apache Spark reassigned SPARK-26446:
Assignee: Apache Spark
> improve doc on ExecutorAllocationManager
>
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Apache Spark reassigned SPARK-26446:
Assignee: (was: Apache Spark)
> improve doc on ExecutorAllocationManager
>
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Qingxin Wu updated SPARK-26446:
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Component/s: (was: Scheduler)
Spark Core
> improve doc on
Qingxin Wu created SPARK-26446:
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Summary: improve doc on ExecutorAllocationManager
Key: SPARK-26446
URL: https://issues.apache.org/jira/browse/SPARK-26446
Project: Spark
Issue Type: Improvement
Takuya Ueshin created SPARK-26445:
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Summary: Use ConfigEntry for hardcoded configs for driver/executor
categories.
Key: SPARK-26445
URL: https://issues.apache.org/jira/browse/SPARK-26445
Project:
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Takuya Ueshin commented on SPARK-26445:
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I'm working on this.
> Use ConfigEntry for hardcoded
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Apache Spark reassigned SPARK-26444:
Assignee: Apache Spark
> Stage color doesn't change with it's status
>
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Apache Spark reassigned SPARK-26444:
Assignee: (was: Apache Spark)
> Stage color doesn't change with it's status
>
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Chenxiao Mao updated SPARK-26444:
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Attachment: failed.png
complete.png
active.png
> Stage color
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Chenxiao Mao updated SPARK-26444:
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Description:
On job page, in event timeline section, stage color doesn't change according to
Chenxiao Mao created SPARK-26444:
Summary: Stage color doesn't change with it's status
Key: SPARK-26444
URL: https://issues.apache.org/jira/browse/SPARK-26444
Project: Spark
Issue Type: Bug
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