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Apache Spark reassigned SPARK-23315:
Assignee: Wenchen Fan (was: Apache Spark)
> failed to get output from canonicalized data
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Apache Spark reassigned SPARK-23315:
Assignee: Apache Spark (was: Wenchen Fan)
> failed to get output from canonicalized data
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Apache Spark commented on SPARK-23315:
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User 'cloud-fan' has created a pull request for this issue:
Wenchen Fan created SPARK-23315:
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Summary: failed to get output from canonicalized data source v2
related plans
Key: SPARK-23315
URL: https://issues.apache.org/jira/browse/SPARK-23315
Project: Spark
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Felix Cheung updated SPARK-23314:
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Description:
Under SPARK-22216
When testing pandas_udf on group bys, I saw this error with the
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Felix Cheung updated SPARK-23314:
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Description:
Under SPARK-22216
When testing pandas_udf on group bys, I saw this error with the
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Felix Cheung updated SPARK-23314:
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Description:
Under SPARK-22216
When testing pandas_udf on group bys, I saw this error with the
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Felix Cheung commented on SPARK-23314:
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[~icexelloss] [~bryanc]
> Pandas grouped udf on dataset
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Felix Cheung commented on SPARK-23314:
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log
[Stage
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Felix Cheung commented on SPARK-23314:
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code
>>> flights = spark.read.option("inferSchema",
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Felix Cheung updated SPARK-23314:
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Environment: (was: data sample
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Felix Cheung commented on SPARK-23314:
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data sample
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Felix Cheung updated SPARK-23314:
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Description:
Under SPARK-22216
When testing pandas_udf on group bys, I saw this error with the
Felix Cheung created SPARK-23314:
Summary: Pandas grouped udf on dataset with timestamp column error
Key: SPARK-23314
URL: https://issues.apache.org/jira/browse/SPARK-23314
Project: Spark
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Dongjoon Hyun commented on SPARK-23309:
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We are still investigating this, but is this a regression
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Apache Spark reassigned SPARK-23313:
Assignee: Apache Spark
> Add a migration guide for ORC
> -
>
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Apache Spark reassigned SPARK-23313:
Assignee: (was: Apache Spark)
> Add a migration guide for ORC
>
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Apache Spark commented on SPARK-23313:
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User 'dongjoon-hyun' has created a pull request for this
Dongjoon Hyun created SPARK-23313:
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Summary: Add a migration guide for ORC
Key: SPARK-23313
URL: https://issues.apache.org/jira/browse/SPARK-23313
Project: Spark
Issue Type: Bug
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Dongjoon Hyun updated SPARK-23313:
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Issue Type: Documentation (was: Bug)
> Add a migration guide for ORC
>
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Apache Spark commented on SPARK-23312:
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User 'cloud-fan' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23312:
Assignee: Wenchen Fan (was: Apache Spark)
> add a config to turn off vectorized cache
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Wenchen Fan commented on SPARK-23309:
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I propose to add a config to turn off vectorized cache reader:
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Apache Spark reassigned SPARK-23312:
Assignee: Apache Spark (was: Wenchen Fan)
> add a config to turn off vectorized cache
Wenchen Fan created SPARK-23312:
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Summary: add a config to turn off vectorized cache reader
Key: SPARK-23312
URL: https://issues.apache.org/jira/browse/SPARK-23312
Project: Spark
Issue Type:
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Takuya Ueshin commented on SPARK-23290:
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Thanks for the report!
I'm afraid I couldn't figure out
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Wenchen Fan commented on SPARK-23309:
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We need to know the schema of your cached data to figure out
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Wenchen Fan reassigned SPARK-23306:
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Assignee: Zhan Zhang
> Race condition in TaskMemoryManager
>
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Wenchen Fan resolved SPARK-23306.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 20480
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Wenchen Fan resolved SPARK-23020.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 20462
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Apache Spark commented on SPARK-23311:
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User 'heary-cao' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23311:
Assignee: Apache Spark
> add FilterFunction test case for test CombineTypedFilters
>
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Apache Spark reassigned SPARK-23311:
Assignee: (was: Apache Spark)
> add FilterFunction test case for test
caoxuewen created SPARK-23311:
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Summary: add FilterFunction test case for test CombineTypedFilters
Key: SPARK-23311
URL: https://issues.apache.org/jira/browse/SPARK-23311
Project: Spark
Issue
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Wenchen Fan resolved SPARK-23284.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 20455
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Yin Huai commented on SPARK-23310:
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[~sitalke...@gmail.com] We found that the commit for SPARK-21113
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Wenchen Fan reassigned SPARK-23284:
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Assignee: Liang-Chi Hsieh
> Document several get API of ColumnVector's behavior when
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Yin Huai updated SPARK-23310:
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Description:
While running all TPC-DS queries with SF set to 1000, we noticed that Q95
Yin Huai created SPARK-23310:
Summary: Perf regression introduced by SPARK-21113
Key: SPARK-23310
URL: https://issues.apache.org/jira/browse/SPARK-23310
Project: Spark
Issue Type: Bug
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KaiXinXIaoLei updated SPARK-23297:
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Affects Version/s: 2.1.2
> Spark job is finished but the stage process is error
>
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shining commented on SPARK-23297:
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I also encounter this problem.
It looks the job still running at
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Dilip Biswal commented on SPARK-23271:
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[~hyukjin.kwon]
I took a look at this. To the best of my
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KaiXinXIaoLei commented on SPARK-23297:
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Job is finished. and the number of
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Dongjoon Hyun commented on SPARK-23309:
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Yep. I'll make a PR for migration guide. For the conf
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Sameer Agarwal resolved SPARK-23293.
Resolution: Fixed
Fix Version/s: 2.3.0
> data source v2 self join fails
>
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Sameer Agarwal updated SPARK-23309:
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Target Version/s: 2.3.0
> Spark 2.3 cached query performance 20-30% worse then spark 2.2
>
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Xiao Li edited comment on SPARK-23309 at 2/2/18 12:54 AM:
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[~dongjoon] We need
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Xiao Li commented on SPARK-23309:
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[~dongjoon] We need to document it in the migration guide. Basically,
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Xiao Li commented on SPARK-23309:
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What is the data type of `something`?
> Spark 2.3 cached query
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Saisai Shao commented on SPARK-23235:
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There's a new similar Jira (SPARK-23206) about adding and
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Dongjoon Hyun commented on SPARK-23309:
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Thank you for confirming for the non-cache case,
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Xiao Li commented on SPARK-23309:
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Just to confirm it. The cached data only has one column whose type is
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Thomas Graves commented on SPARK-23304:
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I don't have any hive tables backed by parquet to compare
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Henrique dos Santos Goulart edited comment on SPARK-10063 at 2/2/18 12:11 AM:
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Thomas Graves commented on SPARK-23309:
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[~dongjoon] is there any native way with the native hive
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Thomas Graves commented on SPARK-23309:
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seeing the same time difference after adding in the
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Henrique dos Santos Goulart commented on SPARK-10063:
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There is any alternative right
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Sean Owen commented on SPARK-23308:
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Sure, but what could you meaningfully do with
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Dongjoon Hyun commented on SPARK-23309:
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According to the issue title, there is no regression
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Xiao Li commented on SPARK-23309:
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[~tgraves] We are just hoping the new Hive reader does not introduce a
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Xiao Li commented on SPARK-23304:
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Based on the new plan, it sounds like the plan is not changed. Could
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Dongjoon Hyun commented on SPARK-23309:
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Thank you for reporting this, [~tgraves].
In addition to
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Dongjoon Hyun edited comment on SPARK-23304 at 2/1/18 11:33 PM:
I updated
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Dongjoon Hyun commented on SPARK-23304:
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I updated the affected version according to the latest
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Dongjoon Hyun updated SPARK-23304:
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Affects Version/s: 2.2.1
> Spark SQL coalesce() against hive not working
>
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Marcelo Vanzin reassigned SPARK-23296:
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Assignee: Gera Shegalov
> Diagnostics message for user code exceptions should include
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Marcelo Vanzin resolved SPARK-23296.
Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 20470
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Thomas Graves commented on SPARK-23309:
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sure, I can also run with the --conf
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Thomas Graves commented on SPARK-23304:
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I just ran the query (show()) and saw the # of partitions.
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Thomas Graves updated SPARK-23304:
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Attachment: spark23_oldorc_explain_convermetastoreorcfalse.txt
> Spark SQL coalesce() against
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Xiao Li updated SPARK-23309:
Priority: Blocker (was: Major)
> Spark 2.3 cached query performance 20-30% worse then spark 2.2
>
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Xiao Li commented on SPARK-23309:
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[~tgraves] Could you first run count before you run the show?
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Xiao Li commented on SPARK-23304:
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That is fine.
Obviously, at least, we need to submit a PR to document
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Dan Meany commented on SPARK-19371:
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We have had this issue on many occasions and nothing I tried
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Thomas Graves commented on SPARK-23304:
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It still seems like a bug to me since the coalesce isn't
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Thomas Graves commented on SPARK-23304:
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[~smilegator] just to make sure you saw my comment above,
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Xiao Li commented on SPARK-23304:
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In this release, we also made a change in the default of another
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Thomas Graves commented on SPARK-23309:
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I'm curious if anyone else is seeing the same behavior?
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Thomas Graves commented on SPARK-23304:
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I filed Jira
Thomas Graves created SPARK-23309:
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Summary: Spark 2.3 cached query performance 20-30% worse then
spark 2.2
Key: SPARK-23309
URL: https://issues.apache.org/jira/browse/SPARK-23309
Project: Spark
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Shixiong Zhu commented on SPARK-23294:
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[~rmatte] the configurations you posted in the ticket is for
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Shixiong Zhu resolved SPARK-23294.
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Resolution: Not A Problem
> Spark Streaming + Rate source + Console Sink : Receiver MaxRate is
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Apache Spark reassigned SPARK-23307:
Assignee: Shixiong Zhu (was: Apache Spark)
> Spark UI should sort jobs/stages with the
Márcio Furlani Carmona created SPARK-23308:
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Summary: ignoreCorruptFiles should not ignore retryable IOException
Key: SPARK-23308
URL: https://issues.apache.org/jira/browse/SPARK-23308
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Apache Spark commented on SPARK-23307:
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User 'zsxwing' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23307:
Assignee: Apache Spark (was: Shixiong Zhu)
> Spark UI should sort jobs/stages with the
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Thomas Graves commented on SPARK-23304:
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Note I've removed some of the columns from the output, if
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Thomas Graves updated SPARK-23304:
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Attachment: spark23_oldorc_explain.txt
spark22_oldorc_explain.txt
> Spark SQL
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Thomas Graves commented on SPARK-23304:
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ok I've attached 2 files one with spark 2.3 and one with
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Sameer Agarwal commented on SPARK-23284:
Thanks, given the other open blockers, we should have
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Sameer Agarwal commented on SPARK-23304:
Also, is there a JIRA/repro for the caching issue you
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Xiao Li commented on SPARK-23304:
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I do not think our native ORC reader respects
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Xiao Li commented on SPARK-23304:
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Hi, [~tgraves], could you change the two SQLConf
`spark.sql.orc.impl`
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https://issues.apache.org/jira/browse/SPARK-12297?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16349325#comment-16349325
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Yin Huai commented on SPARK-12297:
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[~zi] has this issue got resolved in Hive? I see HIVE-12767 is still
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https://issues.apache.org/jira/browse/SPARK-23307?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16349323#comment-16349323
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Sameer Agarwal commented on SPARK-23307:
Bumping this to a blocker for 2.3
> Spark UI should
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Sameer Agarwal updated SPARK-23307:
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Priority: Blocker (was: Major)
> Spark UI should sort jobs/stages with the completed
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Sameer Agarwal updated SPARK-23307:
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Target Version/s: 2.3.0
> Spark UI should sort jobs/stages with the completed timestamp
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https://issues.apache.org/jira/browse/SPARK-23292?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai updated SPARK-23292:
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Priority: Critical (was: Blocker)
> python tests related to pandas are skipped
>
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Shixiong Zhu reassigned SPARK-23307:
Assignee: Shixiong Zhu
> Spark UI should sort jobs/stages with the completed timestamp
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Shixiong Zhu updated SPARK-23307:
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Description:
When you have a long running job, it may be deleted from UI quickly when it
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