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Hyukjin Kwon updated SPARK-23319:
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Fix Version/s: (was: 2.4.0)
2.3.0
> Skip PySpark tests for old Pandas and
caoxuewen created SPARK-23356:
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Summary: Pushes Project to both sides of Union when expression is
non-deterministic
Key: SPARK-23356
URL: https://issues.apache.org/jira/browse/SPARK-23356
Project: Spark
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Hyukjin Kwon commented on SPARK-20090:
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Sure, will open up a PR soon.
> Add StructT
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Reynold Xin commented on SPARK-20090:
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Do you mind doing it? Thanks.
> Add Struct
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Liang-Chi Hsieh commented on SPARK-22446:
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2.0 and 2.1 also have this issue.
> O
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Jiang Xingbo edited comment on SPARK-23139 at 2/8/18 5:25 AM:
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Jiang Xingbo commented on SPARK-23139:
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```
EventLog may contain mixed encodings suc
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Liang-Chi Hsieh commented on SPARK-22446:
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Yes, this is an issue in Spark 2.2. Fo
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Apache Spark commented on SPARK-22700:
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User 'zhengruifeng' has created a pull reque
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Marcelo Vanzin commented on SPARK-23139:
bq. ASSII is enough to spark event log.
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zhengruifeng commented on SPARK-22700:
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[~WeichenXu123] I have checked others, and t
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DENG FEI commented on SPARK-23139:
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_ASSII_ is enough to spark event log.
And if forcin
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Apache Spark commented on SPARK-23319:
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User 'ueshin' has created a pull request for
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Weichen Xu commented on SPARK-22700:
[~podongfeng] Have you checked other transformer
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Joseph K. Bradley updated SPARK-22289:
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Summary: Cannot save LogisticRegressionModel with bounds on coefficients
(was: Cannot
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Joseph K. Bradley commented on SPARK-22446:
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[~viirya] Did you confirm this is
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Joseph K. Bradley updated SPARK-22446:
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Affects Version/s: (was: 2.2.0)
(was: 2.0.0)
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Joseph K. Bradley commented on SPARK-23105:
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Sorry for being AWOL; I unfortunat
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Márcio Furlani Carmona commented on SPARK-23308:
That's true Steve. I tot
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Hyukjin Kwon updated SPARK-23300:
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Fix Version/s: (was: 2.4.0)
2.3.0
> Print out if Pandas and PyArrow are in
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Tathagata Das reassigned SPARK-23092:
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Assignee: Tathagata Das
> Migrate MemoryStream to DataSource V2
> --
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Tathagata Das resolved SPARK-23092.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 20445
[https://g
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Apache Spark commented on SPARK-23314:
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User 'icexelloss' has created a pull request
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Apache Spark reassigned SPARK-23314:
Assignee: Apache Spark
> Pandas grouped udf on dataset with timestamp column error
>
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Apache Spark reassigned SPARK-23314:
Assignee: (was: Apache Spark)
> Pandas grouped udf on dataset with timestamp column er
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Sameer Agarwal commented on SPARK-23348:
yes, +1
> append data using saveAsTable
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Dongjoon Hyun commented on SPARK-23348:
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[~cloud_fan], [~smilegator], [~sameerag].
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Thomas Graves commented on SPARK-22683:
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I agree, I think default behavior stays 1.
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Thomas Graves edited comment on SPARK-22683 at 2/7/18 10:24 PM:
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Dongjoon Hyun updated SPARK-23348:
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Description:
{code:java}
Seq(1 -> "a").toDF("i", "j").write.saveAsTable("t")
Seq("c" -> 3).t
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Sean Owen commented on SPARK-23354:
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I'm not clear what about this involves Spark. What
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Dongjoon Hyun updated SPARK-23348:
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Affects Version/s: 2.0.2
> append data using saveAsTable should adjust the data types
> ---
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Dongjoon Hyun updated SPARK-23348:
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Affects Version/s: 2.1.2
> append data using saveAsTable should adjust the data types
> ---
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Dongjoon Hyun updated SPARK-23348:
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Affects Version/s: 2.2.1
> append data using saveAsTable should adjust the data types
> ---
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Dongjoon Hyun updated SPARK-23348:
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Description:
{code:java}
Seq(1 -> "a").toDF("i", "j").write.saveAsTable("t")
Seq("c" -> 3).t
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Sean Owen resolved SPARK-23349.
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Resolution: Won't Fix
Fix Version/s: (was: 2.2.1)
> Duplicate and redundant type determina
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Sean Owen commented on SPARK-23329:
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Yeah, none of the other docs talk about a Column.
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Sean Owen commented on SPARK-23318:
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[~tashoyan] did you want to submit a PR for this?
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Apache Spark reassigned SPARK-22279:
Assignee: (was: Apache Spark)
> Turn on spark.sql.hive.convertMetastoreOrc by default
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Apache Spark reassigned SPARK-22279:
Assignee: Apache Spark
> Turn on spark.sql.hive.convertMetastoreOrc by default
> -
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Apache Spark commented on SPARK-23355:
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User 'dongjoon-hyun' has created a pull requ
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Apache Spark reassigned SPARK-23355:
Assignee: Apache Spark
> convertMetastore should not ignore table properties
> ---
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Apache Spark reassigned SPARK-23355:
Assignee: (was: Apache Spark)
> convertMetastore should not ignore table properties
>
Dongjoon Hyun created SPARK-23355:
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Summary: convertMetastore should not ignore table properties
Key: SPARK-23355
URL: https://issues.apache.org/jira/browse/SPARK-23355
Project: Spark
Issue T
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Dongjoon Hyun updated SPARK-22279:
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Fix Version/s: (was: 2.3.0)
> Turn on spark.sql.hive.convertMetastoreOrc by default
> -
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Dongjoon Hyun reopened SPARK-22279:
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This will be reverted.
> Turn on spark.sql.hive.convertMetastoreOrc by default
> ---
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Joseph K. Bradley updated SPARK-23045:
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Summary: Have RFormula use OneHotEncoderEstimator (was: Have RFormula use
OneHoEncoder
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Edwina Lu commented on SPARK-23206:
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We ([~jerryshao], [~zhz] and I) are planning a con
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Imran Rashid commented on SPARK-19870:
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[~eyalfa] any chance you can share those exe
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Mark Hamstra updated SPARK-21084:
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Description:
One important application of Spark is to support many notebook users with a
single
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Apache Spark commented on SPARK-22279:
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User 'gatorsmile' has created a pull request
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Marcelo Vanzin commented on SPARK-23139:
Even if you change {{file.encoding}}, Sp
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Mark Hamstra commented on SPARK-22683:
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I agree that setting the config to 1 should
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Thomas Graves commented on SPARK-22683:
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If the config is set to 1 which keeps the
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Mark Hamstra commented on SPARK-22683:
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A concern that I have is that the discussion
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Alex Duvall commented on SPARK-15176:
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Another interested party here - I'd find being
Lav Patel created SPARK-23354:
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Summary: spark jdbc does not maintain length of data type when I
move data from MS sql server to Oracle using spark jdbc
Key: SPARK-23354
URL: https://issues.apache.org/jira/browse/SPAR
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Xiao Li reassigned SPARK-23345:
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Assignee: Liang-Chi Hsieh
> Flaky test: FileBasedDataSourceSuite
> -
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Xiao Li resolved SPARK-23345.
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Resolution: Fixed
Fix Version/s: 2.3.0
> Flaky test: FileBasedDataSourceSuite
> --
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David Ahern updated SPARK-23351:
Description:
hi, after leaving my (somewhat high volume) Structured Streaming application
running
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Xuefu Zhang commented on SPARK-22683:
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+1 on the idea of including this. Also, +1 on
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Apache Spark reassigned SPARK-23341:
Assignee: Apache Spark
> DataSourceOptions should handle path and table names to avoid con
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Apache Spark commented on SPARK-23341:
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User 'cloud-fan' has created a pull request
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Apache Spark reassigned SPARK-23341:
Assignee: (was: Apache Spark)
> DataSourceOptions should handle path and table names t
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Thomas Graves commented on SPARK-22683:
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ok thanks, I would like to try this out m
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Hyukjin Kwon updated SPARK-23319:
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Target Version/s: (was: 2.4.0)
> Skip PySpark tests for old Pandas and old PyArrow
> --
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Hyukjin Kwon resolved SPARK-23319.
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Resolution: Fixed
Assignee: Hyukjin Kwon
Target Version/s: 2.4.0
Fixed in
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Hyukjin Kwon updated SPARK-23319:
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Fix Version/s: 2.4.0
> Skip PySpark tests for old Pandas and old PyArrow
> --
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Apache Spark commented on SPARK-23319:
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User 'HyukjinKwon' has created a pull reques
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Apache Spark commented on SPARK-23300:
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User 'HyukjinKwon' has created a pull reques
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Apache Spark reassigned SPARK-23353:
Assignee: (was: Apache Spark)
> Allow ExecutorMetricsUpdate events to be logged to the
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Apache Spark reassigned SPARK-23353:
Assignee: Apache Spark
> Allow ExecutorMetricsUpdate events to be logged to the event log
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Apache Spark commented on SPARK-23353:
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User 'LantaoJin' has created a pull request
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Apache Spark reassigned SPARK-23352:
Assignee: Apache Spark
> Explicitly specify supported types in Pandas UDFs
> -
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Apache Spark reassigned SPARK-23352:
Assignee: (was: Apache Spark)
> Explicitly specify supported types in Pandas UDFs
> --
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Apache Spark commented on SPARK-23352:
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User 'HyukjinKwon' has created a pull reques
Lantao Jin created SPARK-23353:
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Summary: Allow ExecutorMetricsUpdate events to be logged to the
event log with sampling
Key: SPARK-23353
URL: https://issues.apache.org/jira/browse/SPARK-23353
Project: S
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Hyukjin Kwon updated SPARK-23352:
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Description:
Currently, we don't support {{BinaryType}} in Pandas UDFs:
{code}
>>> from pyspark.
Hyukjin Kwon created SPARK-23352:
Summary: Explicitly specify supported types in Pandas UDFs
Key: SPARK-23352
URL: https://issues.apache.org/jira/browse/SPARK-23352
Project: Spark
Issue Type:
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Apache Spark commented on SPARK-23349:
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User 'wujianping10043419' has created a pull
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Apache Spark commented on SPARK-23350:
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User 'yanlin-Lynn' has created a pull reques
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David Ahern updated SPARK-23351:
Description:
hi, after leaving my (somewhat high volume) Structured Streaming application
running
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Apache Spark commented on SPARK-23350:
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User 'yanlin-Lynn' has created a pull reques
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Apache Spark reassigned SPARK-23350:
Assignee: Apache Spark
> [SS]Exception when stopping continuous processing application
> -
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Apache Spark reassigned SPARK-23350:
Assignee: (was: Apache Spark)
> [SS]Exception when stopping continuous processing appl
David Ahern created SPARK-23351:
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Summary: checkpoint corruption in long running application
Key: SPARK-23351
URL: https://issues.apache.org/jira/browse/SPARK-23351
Project: Spark
Issue Type: B
Wang Yanlin created SPARK-23350:
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Summary: [SS]Exception when stopping continuous processing
application
Key: SPARK-23350
URL: https://issues.apache.org/jira/browse/SPARK-23350
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-14047?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16355216#comment-16355216
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Nick Pentreath commented on SPARK-14047:
SPARK-12375 should fix that? Can you che
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https://issues.apache.org/jira/browse/SPARK-19870?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16355174#comment-16355174
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Eyal Farago commented on SPARK-19870:
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[~irashid], wenth through executors' logs and
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https://issues.apache.org/jira/browse/SPARK-23348?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16355160#comment-16355160
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Apache Spark commented on SPARK-23348:
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User 'cloud-fan' has created a pull request
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https://issues.apache.org/jira/browse/SPARK-23348?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23348:
Assignee: Apache Spark
> append data using saveAsTable should adjust the data types
>
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https://issues.apache.org/jira/browse/SPARK-23348?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23348:
Assignee: (was: Apache Spark)
> append data using saveAsTable should adjust the data t
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https://issues.apache.org/jira/browse/SPARK-23329?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16355155#comment-16355155
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Mihaly Toth commented on SPARK-23329:
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Nice. I like that the redundant description pa
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https://issues.apache.org/jira/browse/SPARK-23349?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23349:
Assignee: Apache Spark
> Duplicate and redundant type determination for ShuffleManager Obj
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https://issues.apache.org/jira/browse/SPARK-23349?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16355137#comment-16355137
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Apache Spark commented on SPARK-23349:
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User 'wujianping10043419' has created a pull
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https://issues.apache.org/jira/browse/SPARK-23349?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23349:
Assignee: (was: Apache Spark)
> Duplicate and redundant type determination for Shuffle
Phoenix_Daddy created SPARK-23349:
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Summary: Duplicate and redundant type determination for
ShuffleManager Object
Key: SPARK-23349
URL: https://issues.apache.org/jira/browse/SPARK-23349
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-23348?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan updated SPARK-23348:
Description:
{code:java}
Seq(1 -> "a").toDF("i", "j").write.saveAsTable("t")
Seq("c" -> 3).toDF(
Wenchen Fan created SPARK-23348:
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Summary: append data using saveAsTable should adjust the data types
Key: SPARK-23348
URL: https://issues.apache.org/jira/browse/SPARK-23348
Project: Spark
Issu
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