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Xiao Li commented on SPARK-21658:
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Yes. We should revert this. It is risky.
> Adds the default None for
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Apache Spark reassigned SPARK-23327:
Assignee: Xiao Li (was: Apache Spark)
> Update the description of three external API or
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Apache Spark reassigned SPARK-23327:
Assignee: Apache Spark (was: Xiao Li)
> Update the description of three external API or
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Apache Spark commented on SPARK-23327:
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User 'gatorsmile' has created a pull request for this issue:
Xiao Li created SPARK-23327:
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Summary: Update the description of three external API or functions
Key: SPARK-23327
URL: https://issues.apache.org/jira/browse/SPARK-23327
Project: Spark
Issue Type:
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Reynold Xin commented on SPARK-21658:
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I'd revert this one first. I'd even consider the other one a
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Xiao Li resolved SPARK-23317.
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Resolution: Fixed
Fix Version/s: 2.3.0
> rename ContinuousReader.setOffset to setStartOffset
>
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Apache Spark reassigned SPARK-23310:
Assignee: (was: Apache Spark)
> Perf regression introduced by SPARK-21113
>
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Apache Spark reassigned SPARK-23310:
Assignee: Apache Spark
> Perf regression introduced by SPARK-21113
>
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Apache Spark commented on SPARK-23310:
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User 'sitalkedia' has created a pull request for this issue:
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Hyukjin Kwon commented on SPARK-21658:
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[~rxin], this JIRA fixes the signature of an alias to match
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Felix Cheung commented on SPARK-23314:
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Thanks. I have isolated this to a different subset of data,
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Reynold Xin commented on SPARK-23081:
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Scala and Python actually. Sorry I was only commmenting on
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Hyukjin Kwon commented on SPARK-23081:
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Do you mean both Scala and Python APIs or Python
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Hyukjin Kwon commented on SPARK-20090:
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I don't object to add an alias in Scala side and remove
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Hyukjin Kwon commented on SPARK-20090:
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I think we deprecated this roughly to rename {{names}} to
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Apache Spark commented on SPARK-23064:
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User 'tdas' has created a pull request for this issue:
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Apache Spark commented on SPARK-23326:
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User 'zsxwing' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23326:
Assignee: Apache Spark
> "Scheduler Delay" of a task is confusing
>
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Apache Spark reassigned SPARK-23326:
Assignee: (was: Apache Spark)
> "Scheduler Delay" of a task is confusing
>
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Shixiong Zhu updated SPARK-23326:
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Description:
Run the following code and check the UI
{code}
sc.makeRDD(1 to 1, 1).foreach { i =>
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Shixiong Zhu updated SPARK-23326:
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Environment: (was: Run the following code and check the UI
{code}
sc.makeRDD(1 to 1,
Shixiong Zhu created SPARK-23326:
Summary: "Scheduler Delay" of a task is confusing
Key: SPARK-23326
URL: https://issues.apache.org/jira/browse/SPARK-23326
Project: Spark
Issue Type: Bug
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Apache Spark commented on SPARK-21113:
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User 'sitalkedia' has created a pull request for this issue:
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Sital Kedia commented on SPARK-23310:
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https://github.com/apache/spark/pull/20492
> Perf regression
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Nicolas Poggi commented on SPARK-23310:
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[~sitalke...@gmail.com] we have found around 18% higher
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Sameer Agarwal commented on SPARK-23324:
Thanks [~eje], this is definitely going to be a major
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Sameer Agarwal commented on SPARK-23310:
[~sitalke...@gmail.com] it'd be great if you can create
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Ryan Blue commented on SPARK-23325:
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[~cloud_fan], FYI.
> DataSourceV2 readers should always produce
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Sean Owen updated SPARK-23324:
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Labels: documentation kubernetes releasenotes (was: documentation
kubernetes release_notes)
The
Ryan Blue created SPARK-23325:
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Summary: DataSourceV2 readers should always produce InternalRow.
Key: SPARK-23325
URL: https://issues.apache.org/jira/browse/SPARK-23325
Project: Spark
Issue
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Erik Erlandson commented on SPARK-23324:
cc [~sameer], [~foxish]
> Announce new Kubernetes
Erik Erlandson created SPARK-23324:
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Summary: Announce new Kubernetes back-end for 2.3 release notes
Key: SPARK-23324
URL: https://issues.apache.org/jira/browse/SPARK-23324
Project: Spark
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Apache Spark commented on SPARK-23323:
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User 'rdblue' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23323:
Assignee: (was: Apache Spark)
> DataSourceV2 should use the output commit
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Apache Spark reassigned SPARK-23323:
Assignee: Apache Spark
> DataSourceV2 should use the output commit coordinator.
>
Ryan Blue created SPARK-23323:
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Summary: DataSourceV2 should use the output commit coordinator.
Key: SPARK-23323
URL: https://issues.apache.org/jira/browse/SPARK-23323
Project: Spark
Issue Type:
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Ryan Blue updated SPARK-23321:
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Issue Type: Sub-task (was: Bug)
Parent: SPARK-22386
> DataSourceV2 should apply some
Marcelo Vanzin created SPARK-23322:
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Summary: Launcher handles can miss application updates if
application finishes too quickly
Key: SPARK-23322
URL: https://issues.apache.org/jira/browse/SPARK-23322
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Imran Rashid updated SPARK-23053:
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Component/s: Scheduler
> taskBinarySerialization and task partitions calculate in
>
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Xiao Li reassigned SPARK-22820:
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Assignee: Xiao Li
> Spark 2.3 SQL API audit
> ---
>
> Key:
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Xiao Li updated SPARK-22820:
Priority: Blocker (was: Major)
> Spark 2.3 SQL API audit
> ---
>
>
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Li Jin commented on SPARK-23314:
Hi [~felixcheung]
Thanks for the information. However, I still cannot
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Apache Spark reassigned SPARK-23321:
Assignee: (was: Apache Spark)
> DataSourceV2 should apply some validation when
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Apache Spark commented on SPARK-23321:
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User 'rdblue' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23321:
Assignee: Apache Spark
> DataSourceV2 should apply some validation when writing.
>
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Ryan Blue updated SPARK-23321:
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Summary: DataSourceV2 should apply some validation when writing. (was:
DataSourceV2 should apply
Ryan Blue created SPARK-23321:
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Summary: DataSourceV2 should apply preprocess rules for inserts.
Key: SPARK-23321
URL: https://issues.apache.org/jira/browse/SPARK-23321
Project: Spark
Issue
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Imran Rashid commented on SPARK-23139:
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Apologies if this is a really silly question -- but does
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Thomas Graves edited comment on SPARK-23309 at 2/2/18 8:29 PM:
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I should
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Thomas Graves edited comment on SPARK-23309 at 2/2/18 8:29 PM:
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I should
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Andre Menck commented on SPARK-23290:
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Hey [~ueshin] apologies, I tried to come up with a simpler
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Thomas Graves edited comment on SPARK-23309 at 2/2/18 8:15 PM:
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I'm still
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Thomas Graves commented on SPARK-23309:
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I should ask is there a log statement or query plan I can
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Thomas Graves commented on SPARK-23309:
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So the last test I did was spark 2.3 with the old hive
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Reynold Xin commented on SPARK-20425:
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Hey so I don't think we should be doing multiple boolean
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Sital Kedia commented on SPARK-23310:
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[~yhuai] - Sorry about introducing the regression for TPC-DS
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Ravi Chittilla commented on SPARK-21852:
+1
> Empty Parquet Files created as a result of spark
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Reynold Xin commented on SPARK-20090:
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Why would we deprecate this? I'd probably add names to Scala
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Sameer Agarwal commented on SPARK-23290:
[~amenck] [~aash] any updates here?
> inadvertent
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Xiao Li commented on SPARK-23309:
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Based on my understanding about what [~tgraves]said above, the number
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Reynold Xin commented on SPARK-23081:
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Sorry why are we adding things like this? I see the value of
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Dongjoon Hyun commented on SPARK-23309:
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To sum up, the same Hive code (old Hive path) of Spark
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Reynold Xin commented on SPARK-21658:
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Sorry but I object to this change. Why would we put null as
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Dongjoon Hyun edited comment on SPARK-23309 at 2/2/18 7:35 PM:
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To sum up,
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Felix Cheung commented on SPARK-23314:
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Im running python 2
Pandas 0.22.0
Pyarrow 0.8.0
> Pandas
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Fernando Pereira reopened SPARK-17859:
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This bug persists
{code:java}
SPARK version 2.2.1
SparkSession available as 'spark'.
In
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Thomas Graves edited comment on SPARK-23309 at 2/2/18 7:04 PM:
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I'm still
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Thomas Graves commented on SPARK-23309:
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I'm still seeing spark 2.3 slower by about 15% for the
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Yuriy Bondaruk updated SPARK-23288:
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Component/s: SQL
> Incorrect number of written records in structured streaming
>
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Sean Owen resolved SPARK-23295.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 20469
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Li Jin commented on SPARK-23314:
[~felixcheung], what's the version of pandas you are using in your
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Sean Owen reassigned SPARK-23295:
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Assignee: Kent Yao
> Exclude Waring message when generating versions in make-distribution.sh
>
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Li Jin commented on SPARK-23314:
I am taking a look at this
> Pandas grouped udf on dataset with
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Li Jin updated SPARK-23314:
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Issue Type: Sub-task (was: Bug)
Parent: SPARK-22216
> Pandas grouped udf on dataset with timestamp
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Thomas Graves commented on SPARK-23309:
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Note the schema of "something" here is a "string".
I'll
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Imran Rashid reassigned SPARK-23253:
Assignee: Kent Yao
> Only write shuffle temporary index file when there is not an
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Imran Rashid resolved SPARK-23253.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 20422
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Thomas Graves resolved SPARK-23304.
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Resolution: Invalid
> Spark SQL coalesce() against hive not working
>
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Thomas Graves commented on SPARK-23304:
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ok so I guess by that logic then the coalesce won't every
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Thomas Graves commented on SPARK-23304:
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it doesn't look like sql("xyz").rdd.partitions.length
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Thomas Graves commented on SPARK-23304:
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well I guess that give you end # of partitions and not the
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Wenchen Fan resolved SPARK-23312.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 20483
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Olivier Sannier updated SPARK-23320:
Description:
Under Windows, spark-submit.bat calls spark-class2.cmd which then runs
Olivier Sannier created SPARK-23320:
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Summary: RANDOM pseudo environment variable has low resolution
under Windows
Key: SPARK-23320
URL: https://issues.apache.org/jira/browse/SPARK-23320
Project:
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Apache Spark commented on SPARK-23319:
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User 'HyukjinKwon' has created a pull request for this
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Apache Spark reassigned SPARK-23319:
Assignee: Apache Spark
> Skip PySpark tests for old Pandas and old PyArrow
>
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https://issues.apache.org/jira/browse/SPARK-23319?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23319:
Assignee: (was: Apache Spark)
> Skip PySpark tests for old Pandas and old PyArrow
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Hyukjin Kwon created SPARK-23319:
Summary: Skip PySpark tests for old Pandas and old PyArrow
Key: SPARK-23319
URL: https://issues.apache.org/jira/browse/SPARK-23319
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-23269?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16350308#comment-16350308
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Sean Owen commented on SPARK-23269:
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Doesn't this incur similar overhead for every caller though?
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https://issues.apache.org/jira/browse/SPARK-23318?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16350309#comment-16350309
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Sean Owen commented on SPARK-23318:
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Yes, a similar change sounds fine.
> FP-growth: WARN FPGrowth:
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https://issues.apache.org/jira/browse/SPARK-12297?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16350240#comment-16350240
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Zoltan Ivanfi edited comment on SPARK-12297 at 2/2/18 12:35 PM:
Hive
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https://issues.apache.org/jira/browse/SPARK-12297?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16350240#comment-16350240
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Zoltan Ivanfi commented on SPARK-12297:
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Hive already has a workaround based on a the writer
Arseniy Tashoyan created SPARK-23318:
Summary: FP-growth: WARN FPGrowth: Input data is not cached
Key: SPARK-23318
URL: https://issues.apache.org/jira/browse/SPARK-23318
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-23317?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23317:
Assignee: Apache Spark (was: Wenchen Fan)
> rename ContinuousReader.setOffset to
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https://issues.apache.org/jira/browse/SPARK-23317?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16350145#comment-16350145
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Apache Spark commented on SPARK-23317:
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User 'cloud-fan' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-23317?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23317:
Assignee: Wenchen Fan (was: Apache Spark)
> rename ContinuousReader.setOffset to
Wenchen Fan created SPARK-23317:
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Summary: rename ContinuousReader.setOffset to setStartOffset
Key: SPARK-23317
URL: https://issues.apache.org/jira/browse/SPARK-23317
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-23316?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16350196#comment-16350196
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Bogdan Raducanu commented on SPARK-23316:
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I'll work on a fix
> AnalysisException after max
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https://issues.apache.org/jira/browse/SPARK-23316?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bogdan Raducanu updated SPARK-23316:
Affects Version/s: 2.4.0
> AnalysisException after max iteration reached for IN query
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