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Apache Spark commented on SPARK-24554:
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User 'BryanCutler' has created a pull request for this
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Apache Spark reassigned SPARK-24554:
Assignee: Apache Spark
> Add MapType Support for Arrow in PySpark
>
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Apache Spark reassigned SPARK-24554:
Assignee: (was: Apache Spark)
> Add MapType Support for Arrow in PySpark
>
L. C. Hsieh created SPARK-33465:
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Summary: RDD.takeOrdered should get rid of usage of reduce or use
treeReduce instead
Key: SPARK-33465
URL: https://issues.apache.org/jira/browse/SPARK-33465
Project:
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Apache Spark reassigned SPARK-33465:
Assignee: L. C. Hsieh (was: Apache Spark)
> RDD.takeOrdered should get rid of usage of
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Apache Spark commented on SPARK-33465:
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User 'viirya' has created a pull request for this issue:
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Apache Spark reassigned SPARK-33465:
Assignee: Apache Spark (was: L. C. Hsieh)
> RDD.takeOrdered should get rid of usage of
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Apache Spark commented on SPARK-33465:
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User 'viirya' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-33395?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17233279#comment-17233279
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Nilesh Patil edited comment on SPARK-33395 at 11/17/20, 5:57 AM:
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In
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Nilesh Patil commented on SPARK-33395:
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In decimal type scale and precision will be constant for
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Takeshi Yamamuro commented on SPARK-33395:
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How about using a decimal type instead?
> Spark
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Nilesh Patil commented on SPARK-33395:
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Can we have any method implementation which will persist
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Takeshi Yamamuro updated SPARK-33395:
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Issue Type: Improvement (was: Bug)
> Spark reading data in scientific notation
>
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Takeshi Yamamuro commented on SPARK-33395:
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hm, but we cannot avoid the rounding in this case,
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Takeshi Yamamuro updated SPARK-33395:
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Priority: Major (was: Critical)
> Spark reading data in scientific notation
>
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Nilesh Patil commented on SPARK-33395:
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Yes inferred type is double, but we want the data as it is
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Takeshi Yamamuro updated SPARK-33395:
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Affects Version/s: 3.1.0
2.4.8
> Spark reading data in
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Takeshi Yamamuro updated SPARK-33395:
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Component/s: (was: Spark Core)
SQL
> Spark reading data in
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Takeshi Yamamuro commented on SPARK-33395:
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The inferred type is double, so they are
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Hyukjin Kwon resolved SPARK-33407.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 30309
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Hyukjin Kwon reassigned SPARK-33407:
Assignee: Hyukjin Kwon
> Simplify the exception message from Python UDFs
>
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Apache Spark reassigned SPARK-33464:
Assignee: (was: Apache Spark)
> Add/remove (un)necessary cache and restructure
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Apache Spark commented on SPARK-33464:
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User 'HyukjinKwon' has created a pull request for this
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Apache Spark reassigned SPARK-33464:
Assignee: Apache Spark
> Add/remove (un)necessary cache and restructure GitHub Actions
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Hyukjin Kwon updated SPARK-33464:
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Description:
Currently, GitHub Actions build has some unnecessary cache/commands. For
example,
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Hyukjin Kwon updated SPARK-33464:
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Summary: Add/remove (un)necessary cache and restructure GitHub Actions yaml
(was: Remove
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Nilesh Patil commented on SPARK-33395:
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[~zhangway],
Hi, I am expecting out like below.
DAta
Hyukjin Kwon created SPARK-33464:
Summary: Remove unnecessary cache and restructure
Key: SPARK-33464
URL: https://issues.apache.org/jira/browse/SPARK-33464
Project: Spark
Issue Type:
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Hyukjin Kwon updated SPARK-33454:
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Parent: SPARK-32244
Issue Type: Sub-task (was: New Feature)
> Add GitHub Action job
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Prashant Sharma commented on SPARK-30985:
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Thanks [~dongjoon], you have resolved the confusion I
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Takeshi Yamamuro resolved SPARK-33379.
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Resolution: Not A Problem
> The link address of ‘’this page’’ in
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Jungtaek Lim reassigned SPARK-33209:
Assignee: Cheng Su
> Clean up unit test file UnsupportedOperationsSuite.scala
>
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Jungtaek Lim resolved SPARK-33209.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 30347
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Dongjoon Hyun resolved SPARK-33445.
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Resolution: Cannot Reproduce
I'll close this for now, [~bullsoverbears] . However, you are
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Dongjoon Hyun commented on SPARK-33445:
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PySpark is also working.
{code:java}
>>> mydf2 =
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Dongjoon Hyun commented on SPARK-33445:
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[~bullsoverbears]. For me, I don't see `ValueError`. Are
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Dongjoon Hyun updated SPARK-33445:
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Component/s: (was: PySpark)
> Can't parse decimal type from csv file
>
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Dongjoon Hyun commented on SPARK-33449:
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Is this targeting at Apache Spark 3.1, [~yumwang]?
> Add
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Takeshi Yamamuro resolved SPARK-33399.
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Fix Version/s: 3.1.0
Assignee: Prakhar Jain
Resolution: Fixed
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Dongjoon Hyun reassigned SPARK-23499:
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Assignee: Pascal GILLET
> Mesos Cluster Dispatcher should support priority queues to
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Dongjoon Hyun resolved SPARK-23499.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 30352
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Apache Spark commented on SPARK-33463:
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User 'gumartinm' has created a pull request for this issue:
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Apache Spark reassigned SPARK-33463:
Assignee: Apache Spark
> Spark Thrift Server, keep Job Id when using incremental collect
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Apache Spark reassigned SPARK-33463:
Assignee: (was: Apache Spark)
> Spark Thrift Server, keep Job Id when using
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Gustavo Martin updated SPARK-33463:
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Fix Version/s: (was: 3.0.1)
3.1.0
> Spark Thrift Server, keep Job Id
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Apache Spark commented on SPARK-33463:
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User 'gumartinm' has created a pull request for this issue:
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Gustavo Martin commented on SPARK-33463:
PR: https://github.com/apache/spark/pull/30390
> Spark
Gustavo Martin created SPARK-33463:
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Summary: Spark Thrift Server, keep Job Id when using incremental
collect
Key: SPARK-33463
URL: https://issues.apache.org/jira/browse/SPARK-33463
Project: Spark
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Dongjoon Hyun edited comment on SPARK-33183 at 11/16/20, 8:23 PM:
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I
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Dongjoon Hyun edited comment on SPARK-33183 at 11/16/20, 8:23 PM:
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I
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Dongjoon Hyun commented on SPARK-33183:
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I added SPARK-23973 as "is caused by".
> Bug in
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Dongjoon Hyun updated SPARK-33183:
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Affects Version/s: 2.4.0
2.4.1
2.4.2
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Navin Viswanath commented on SPARK-31450:
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[~hvanhovell] [~dongjoon] I was in the process of
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Dongjoon Hyun updated SPARK-33435:
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Labels: DSv2 correctness (was: DSv2)
> DSv2: REFRESH TABLE should invalidate caches
>
Thomas Graves created SPARK-33462:
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Summary: ResourceProfile use Int for memory in
ExecutorResourcesOrDefaults
Key: SPARK-33462
URL: https://issues.apache.org/jira/browse/SPARK-33462
Project: Spark
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Wenchen Fan resolved SPARK-33460.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 30386
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Wenchen Fan reassigned SPARK-33460:
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Assignee: Leanken.Lin
> Accessing map values should fail if key is not found.
>
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Dongjoon Hyun updated SPARK-3:
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Summary: Add K8s IT for conf propagation (was: Add integration tests)
> Add K8s IT for conf
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Wenchen Fan resolved SPARK-33453.
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Fix Version/s: 3.1.0
Assignee: Maxim Gekk
Resolution: Fixed
> Unify v1 and v2
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Dongjoon Hyun reassigned SPARK-3:
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Assignee: Prashant Sharma
> Add integration tests
> -
>
>
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Dongjoon Hyun commented on SPARK-33461:
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I reorganized this for you as an example, [~prashant]. I
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Dongjoon Hyun updated SPARK-33461:
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Fix Version/s: (was: 3.1.0)
> Propagating SPARK_CONF_DIR in K8s and tests
>
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Dongjoon Hyun updated SPARK-33461:
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Summary: Propagating SPARK_CONF_DIR in K8s and tests (was: Foundational
work for propagating
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Dongjoon Hyun updated SPARK-30985:
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Parent: SPARK-33461
Issue Type: Sub-task (was: Improvement)
> Propagate
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Dongjoon Hyun updated SPARK-32223:
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Parent: SPARK-33461 (was: SPARK-30985)
> Support adding a user provided config map.
>
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Dongjoon Hyun updated SPARK-33461:
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Parent: (was: SPARK-30985)
Issue Type: Improvement (was: Sub-task)
>
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Dongjoon Hyun updated SPARK-32221:
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Parent: SPARK-33461 (was: SPARK-30985)
> Avoid possible errors due to incorrect file size or
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Dongjoon Hyun updated SPARK-3:
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Parent: SPARK-33461 (was: SPARK-30985)
> Add integration tests
> -
>
>
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Dongjoon Hyun commented on SPARK-33461:
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The PR is merged by SPARK-30985, not SPARK-33461.
The
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Dongjoon Hyun reopened SPARK-33461:
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> Foundational work for propagating SPARK_CONF_DIR
>
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Dongjoon Hyun commented on SPARK-30985:
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Hi, [~prashant]. You should not reopen this. We cannot
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Dongjoon Hyun resolved SPARK-30985.
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Assignee: Prashant Sharma
Resolution: Fixed
> Propagate SPARK_CONF_DIR files to
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Wenchen Fan resolved SPARK-33389.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 30299
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Wenchen Fan reassigned SPARK-33389:
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Assignee: Lu Lu
> make internal classes of SparkSession always using active SQLConf
>
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Gabor Somogyi commented on SPARK-33143:
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[~mszurap] the OS and network guys are still working on
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Apache Spark commented on SPARK-33143:
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User 'gaborgsomogyi' has created a pull request for this
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Apache Spark reassigned SPARK-33143:
Assignee: (was: Apache Spark)
> Make SocketAuthServer socket timeout configurable
>
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Apache Spark reassigned SPARK-33143:
Assignee: Apache Spark
> Make SocketAuthServer socket timeout configurable
>
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Apache Spark reassigned SPARK-3:
Assignee: (was: Apache Spark)
> Add integration tests
> -
>
>
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Apache Spark commented on SPARK-3:
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User 'ScrapCodes' has created a pull request for this
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Apache Spark reassigned SPARK-3:
Assignee: Apache Spark
> Add integration tests
> -
>
>
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Pablo Cocko commented on SPARK-17914:
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I think that the solution only apply if there are more than 6
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Apache Spark reassigned SPARK-33443:
Assignee: (was: Apache Spark)
> LEAD/LAG should support [ IGNORE NULLS | RESPECT
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Apache Spark commented on SPARK-33443:
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User 'beliefer' has created a pull request for this issue:
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Apache Spark reassigned SPARK-33443:
Assignee: Apache Spark
> LEAD/LAG should support [ IGNORE NULLS | RESPECT NULLS ]
>
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Apache Spark commented on SPARK-33443:
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User 'beliefer' has created a pull request for this issue:
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jiaan.geng updated SPARK-33443:
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Description: The current implement of LEAD/LAG don't support IGNORE/RESPECT
NULLS, but the
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Apache Spark reassigned SPARK-33460:
Assignee: Apache Spark
> Accessing map values should fail if key is not found.
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Apache Spark commented on SPARK-33460:
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User 'leanken' has created a pull request for this issue:
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Apache Spark reassigned SPARK-33460:
Assignee: (was: Apache Spark)
> Accessing map values should fail if key is not
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https://issues.apache.org/jira/browse/SPARK-30985?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17232631#comment-17232631
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Prashant Sharma edited comment on SPARK-30985 at 11/16/20, 9:21 AM:
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Prashant Sharma reassigned SPARK-30985:
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Assignee: (was: Prashant Sharma)
> Propagate SPARK_CONF_DIR files to driver
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https://issues.apache.org/jira/browse/SPARK-33461?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Prashant Sharma reassigned SPARK-33461:
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Assignee: Prashant Sharma
> Foundational work for propagating SPARK_CONF_DIR
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Prashant Sharma resolved SPARK-33461.
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Fix Version/s: 3.1.0
Resolution: Fixed
> Foundational work for propagating
Prashant Sharma created SPARK-33461:
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Summary: Foundational work for propagating SPARK_CONF_DIR
Key: SPARK-33461
URL: https://issues.apache.org/jira/browse/SPARK-33461
Project: Spark
Issue
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Prashant Sharma reopened SPARK-30985:
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Reopening this JIRA as, this is Umbrella jira and I created a PR incorrectly
targeting the
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Prashant Sharma commented on SPARK-30985:
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[~dongjoon] Hm.. my mistake. As you said, I added
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Dongjoon Hyun commented on SPARK-30985:
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[~prashant]. You should not make a PR with the umbrella
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Dongjoon Hyun edited comment on SPARK-30985 at 11/16/20, 8:14 AM:
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Dongjoon Hyun edited comment on SPARK-30985 at 11/16/20, 8:08 AM:
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