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Yuming Wang commented on SPARK-28312:
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I'm working on.
> Add numeric.sql
>
Yuming Wang created SPARK-28312:
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Summary: Add numeric.sql
Key: SPARK-28312
URL: https://issues.apache.org/jira/browse/SPARK-28312
Project: Spark
Issue Type: Sub-task
Components: SQL
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Hyukjin Kwon resolved SPARK-28302.
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Resolution: Fixed
Fix Version/s: 2.4.4
2.3.4
3.0.0
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Hyukjin Kwon reassigned SPARK-28302:
Assignee: wuyi
> SparkLauncher: The process cannot access the file because it is being us
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Hyukjin Kwon commented on SPARK-28271:
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It doesn't necessarily assign somebody. It
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Dongjoon Hyun commented on SPARK-28308:
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This is resolved via https://github.com/a
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Dongjoon Hyun resolved SPARK-28308.
---
Resolution: Fixed
Fix Version/s: 3.0.0
2.4.4
2.3
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Dongjoon Hyun reassigned SPARK-28308:
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Assignee: Dongjoon Hyun
> CalendarInterval sub-second part should be padded before pars
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Modi Tamam commented on SPARK-28269:
Sorry, I had a typo, not stack but *stuck*.
Th
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Ruslan Dautkhanov updated SPARK-28266:
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Summary: data correctness issue: data duplication when `path` serde
property is presen
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Terry Kim commented on SPARK-28271:
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[~hyukjin.kwon], please assign this to me. I am h
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Zhu, Lipeng updated SPARK-28310:
Issue Type: Improvement (was: Sub-task)
Parent: (was: SPARK-27764)
> ANSI SQL grammar
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Zhu, Lipeng updated SPARK-28310:
Description:
According to the ANSI SQL 2011:
{code:sql}
::=
::= RESPECT NULLS | IGNORE NULLS
:
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Apache Spark reassigned SPARK-28311:
Assignee: (was: Apache Spark)
> Spark Thrift Server protocol version compatibility se
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Apache Spark reassigned SPARK-28311:
Assignee: Apache Spark
> Spark Thrift Server protocol version compatibility setup too lat
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Zhu, Lipeng updated SPARK-28310:
Issue Type: Sub-task (was: Bug)
Parent: SPARK-27764
> ANSI SQL grammar support: first_val
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angerszhu updated SPARK-28311:
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Description:
{code:java}
SessionHandle getSessionHandle(TOpenSessionReq req, TOpenSessionResp res)
angerszhu created SPARK-28311:
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Summary: Spark Thrift Server protocol version compatibility setup
too late
Key: SPARK-28311
URL: https://issues.apache.org/jira/browse/SPARK-28311
Project: Spark
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Hyukjin Kwon reassigned SPARK-28309:
Assignee: Hyukjin Kwon
> AppVeyor fails to install testthat (1.0.2) due to previously ins
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Yuming Wang edited comment on SPARK-28023 at 7/9/19 3:07 AM:
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Hyukjin Kwon resolved SPARK-28309.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 25081
[https://gi
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Yuming Wang resolved SPARK-28023.
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Resolution: Later
Resolve the issue as {{Later}}. More details:
https://github.com/apache/spark
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Hyukjin Kwon resolved SPARK-28250.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 25052
[https://gi
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Wenchen Fan reassigned SPARK-28273:
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Assignee: Hyukjin Kwon
> Convert and port 'pgSQL/case.sql' into UDF test base
> ---
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Wenchen Fan resolved SPARK-28273.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 25070
[https://gith
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Apache Spark reassigned SPARK-28310:
Assignee: (was: Apache Spark)
> ANSI SQL grammar support: first_value/last_value(expr
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Apache Spark reassigned SPARK-28310:
Assignee: Apache Spark
> ANSI SQL grammar support: first_value/last_value(expression, [RE
Zhu, Lipeng created SPARK-28310:
---
Summary: ANSI SQL grammar support:
first_value/last_value(expression, [RESPECT NULLS | IGNORE NULLS])
Key: SPARK-28310
URL: https://issues.apache.org/jira/browse/SPARK-28310
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Yesheng Ma updated SPARK-28306:
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Issue Type: Improvement (was: Bug)
> Once optimizer rule NormalizeFloatingNumbers is not idempotent
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Hyukjin Kwon commented on SPARK-28269:
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{quote}
The above code gets stacked on the
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Dongjoon Hyun updated SPARK-28309:
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Component/s: R
> AppVeyor fails to install testthat (1.0.2) due to previously installed
> tes
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Dongjoon Hyun updated SPARK-28309:
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Component/s: (was: R)
SparkR
> AppVeyor fails to install testthat (1.0.2)
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Apache Spark reassigned SPARK-28309:
Assignee: Apache Spark
> AppVeyor fails to install testthat (1.0.2) due to previously ins
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Apache Spark reassigned SPARK-28309:
Assignee: (was: Apache Spark)
> AppVeyor fails to install testthat (1.0.2) due to pre
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https://issues.apache.org/jira/browse/SPARK-28295?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-28295.
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Resolution: Invalid
> Is there a way of getting feature names from pyspark.ml.regression
> Ge
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Hyukjin Kwon commented on SPARK-28295:
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For questions, you can ask it to mailing li
Hyukjin Kwon created SPARK-28309:
Summary: AppVeyor fails to install testthat (1.0.2) due to
previously installed testthat (2.1.0) due to devtools
Key: SPARK-28309
URL: https://issues.apache.org/jira/browse/SPARK-
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Apache Spark reassigned SPARK-28306:
Assignee: Apache Spark
> Once optimizer rule NormalizeFloatingNumbers is not idempotent
>
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Apache Spark reassigned SPARK-28306:
Assignee: (was: Apache Spark)
> Once optimizer rule NormalizeFloatingNumbers is not i
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Apache Spark reassigned SPARK-28308:
Assignee: Apache Spark
> CalendarInterval sub-second part should be padded before parsing
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Apache Spark reassigned SPARK-28308:
Assignee: (was: Apache Spark)
> CalendarInterval sub-second part should be padded bef
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Dongjoon Hyun updated SPARK-28308:
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Labels: correctness (was: )
> CalendarInterval sub-second part should be padded before parsin
Dongjoon Hyun created SPARK-28308:
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Summary: CalendarInterval sub-second part should be padded before
parsing
Key: SPARK-28308
URL: https://issues.apache.org/jira/browse/SPARK-28308
Project: Spark
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Dongjoon Hyun updated SPARK-28307:
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Issue Type: Sub-task (was: Improvement)
Parent: SPARK-27764
> Support Interval compar
Dongjoon Hyun created SPARK-28307:
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Summary: Support Interval comparison
Key: SPARK-28307
URL: https://issues.apache.org/jira/browse/SPARK-28307
Project: Spark
Issue Type: Improvement
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Marco Gaido commented on SPARK-28067:
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I cannot reproduce in 2.4.0 either:
{code}
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Sean Owen resolved SPARK-28159.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 24963
[https://github.c
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Sean Owen reassigned SPARK-28159:
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Assignee: zhengruifeng
> Make the transform natively in ml framework to avoid extra conversion
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Dongjoon Hyun resolved SPARK-28261.
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Resolution: Fixed
Assignee: Gabor Somogyi
Fix Version/s: 3.0.0
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Dongjoon Hyun updated SPARK-28261:
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Affects Version/s: 2.0.2
> Flaky test:
> org.apache.spark.network.TransportClientFactorySuite
Yesheng Ma created SPARK-28306:
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Summary: Once optimizer rule NormalizeFloatingNumbers is not
idempotent
Key: SPARK-28306
URL: https://issues.apache.org/jira/browse/SPARK-28306
Project: Spark
I
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Nikita Gorbachevski commented on SPARK-22876:
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Hi, i believe we should reope
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Apache Spark reassigned SPARK-28305:
Assignee: Apache Spark
> When the AM cannot obtain the container loss reason, ask
> GetE
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Apache Spark reassigned SPARK-28305:
Assignee: (was: Apache Spark)
> When the AM cannot obtain the container loss reason,
dzcxzl created SPARK-28305:
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Summary: When the AM cannot obtain the container loss reason, ask
GetExecutorLossReason times out
Key: SPARK-28305
URL: https://issues.apache.org/jira/browse/SPARK-28305
Project:
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Eyal Farago commented on SPARK-28304:
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cc [~cloud_fan],[~hvanhovell]
> FileFormatWr
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Eyal Farago updated SPARK-28304:
Summary: FileFormatWriter introduces an uncoditional sort, even when all
attributes are constants
Eyal Farago created SPARK-28304:
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Summary: FileFormatWriter introduces an uncoditional join, even
when all attributes are constants
Key: SPARK-28304
URL: https://issues.apache.org/jira/browse/SPARK-28304
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Gabor Somogyi updated SPARK-28261:
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Affects Version/s: 2.1.3
2.2.3
2.3.3
> Flaky tes
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Gabor Somogyi updated SPARK-28261:
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Affects Version/s: 2.4.3
> Flaky test:
> org.apache.spark.network.TransportClientFactorySuite
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Apache Spark reassigned SPARK-28301:
Assignee: Wenchen Fan (was: Apache Spark)
> fix the behavior of table name resolution wi
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Apache Spark reassigned SPARK-28301:
Assignee: Apache Spark (was: Wenchen Fan)
> fix the behavior of table name resolution wi
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Apache Spark reassigned SPARK-28302:
Assignee: (was: Apache Spark)
> SparkLauncher: The process cannot access the file bec
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Apache Spark reassigned SPARK-28302:
Assignee: Apache Spark
> SparkLauncher: The process cannot access the file because it is
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Xianyin Xin commented on SPARK-28303:
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The SQL entrance is need also.
> Support DEL
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Xianyin Xin updated SPARK-28303:
Description:
Now many datasources (delta, jdbc, hive with transaction support, kudu, etc)
support
Xianyin Xin created SPARK-28303:
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Summary: Support DELETE/UPDATE/MERGE Operations in DataSource V2
Key: SPARK-28303
URL: https://issues.apache.org/jira/browse/SPARK-28303
Project: Spark
Issue T
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wuyi updated SPARK-28302:
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Description:
When using SparkLauncher to submit applications concurrently with a thread pool
under *Windows*, s
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wuyi updated SPARK-28302:
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Attachment: Main.scala
> SparkLauncher: The process cannot access the file because it is being used by
> anothe
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Apache Spark reassigned SPARK-28261:
Assignee: (was: Apache Spark)
> Flaky test:
> org.apache.spark.network.TransportClie
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wuyi updated SPARK-28302:
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Description:
When using SparkLauncher to submit applications concurrently with a thread pool
under *Windows*, s
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Apache Spark reassigned SPARK-28261:
Assignee: Apache Spark
> Flaky test:
> org.apache.spark.network.TransportClientFactorySu
wuyi created SPARK-28302:
Summary: SparkLauncher: The process cannot access the file because
it is being used by another process
Key: SPARK-28302
URL: https://issues.apache.org/jira/browse/SPARK-28302
Project
Wenchen Fan created SPARK-28301:
---
Summary: fix the behavior of table name resolution with
multi-catalog
Key: SPARK-28301
URL: https://issues.apache.org/jira/browse/SPARK-28301
Project: Spark
I
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Bozhidar Bozhanov commented on SPARK-28255:
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[~hyukjin.kwon] yes, upgrade the
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Modi Tamam commented on SPARK-28269:
[~hyukjin.kwon] I've updated the message with s
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Modi Tamam updated SPARK-28269:
---
Description:
I'm working with Pyspark version 2.4.3.
I have a big data frame:
* ~15M rows
* ~130
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Modi Tamam updated SPARK-28269:
---
Description:
I'm working with Pyspark version 2.4.3.
I have a big data frame:
* ~15M rows
* ~130
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Ramanjaneya Naidu Nalla updated SPARK-28300:
Description:
Hi,
I am facing when we run the spark KMEAN algorithm parall
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Ramanjaneya Naidu Nalla updated SPARK-28300:
Description:
Hi,
I am facing when we run the spark KMEAN algorithm parall
Ramanjaneya Naidu Nalla created SPARK-28300:
---
Summary: Kmeans is failing when we run parallely passing an RDD
Key: SPARK-28300
URL: https://issues.apache.org/jira/browse/SPARK-28300
Project:
Peter Toth created SPARK-28299:
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Summary: Evaluation of multiple CTE uses
Key: SPARK-28299
URL: https://issues.apache.org/jira/browse/SPARK-28299
Project: Spark
Issue Type: Sub-task
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Yuming Wang updated SPARK-28298:
Issue Type: Sub-task (was: Bug)
Parent: SPARK-27764
> Strange behavior of CAST string to
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Yuming Wang commented on SPARK-28298:
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PostgreSQL:
{code:sql}
postgres=# select subs
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Zhu, Lipeng updated SPARK-28298:
Description:
Execute below SQL in Spark, the result is "abcdef". But the result of other
DBMS i
Zhu, Lipeng created SPARK-28298:
---
Summary: Strange behavior of CAST string to char/varchar
Key: SPARK-28298
URL: https://issues.apache.org/jira/browse/SPARK-28298
Project: Spark
Issue Type: Bug
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Peter Toth updated SPARK-28297:
---
Description:
This query does work in Spark SQL:
{noformat}
select (with cte(x) as (select 1) select
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https://issues.apache.org/jira/browse/SPARK-28297?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Peter Toth updated SPARK-28297:
---
Description:
This query does work in Spark SQL:
{noformat}
select (with cte(x) as (select 1) select
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https://issues.apache.org/jira/browse/SPARK-28297?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Peter Toth updated SPARK-28297:
---
Description:
This query does work in Spark SQL:
{noformat}
select (with cte(x) as (select 1) select
Peter Toth created SPARK-28297:
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Summary: Handling outer links in CTE subquery expressions
Key: SPARK-28297
URL: https://issues.apache.org/jira/browse/SPARK-28297
Project: Spark
Issue Type: Sub-
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https://issues.apache.org/jira/browse/SPARK-28296?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Peter Toth updated SPARK-28296:
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Description:
These are valid queries in PostgreSQL, but they don't work in Spark SQL:
{noformat}
va
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https://issues.apache.org/jira/browse/SPARK-28296?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Peter Toth updated SPARK-28296:
---
Description:
These are valid queries in PostgreSQL, but they don't work in Spark SQL:
{noformat}
va
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https://issues.apache.org/jira/browse/SPARK-28296?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Peter Toth updated SPARK-28296:
---
Description:
These are valid queries in PostgreSQL, but they don't work in Spark SQL:
{noformat}
va
Peter Toth created SPARK-28296:
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Summary: Improved VALUES support
Key: SPARK-28296
URL: https://issues.apache.org/jira/browse/SPARK-28296
Project: Spark
Issue Type: Sub-task
Components
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https://issues.apache.org/jira/browse/SPARK-27924?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-27924:
Assignee: Apache Spark
> ANSI SQL: Boolean Test
> --
>
>
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https://issues.apache.org/jira/browse/SPARK-27924?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-27924:
Assignee: (was: Apache Spark)
> ANSI SQL: Boolean Test
> --
>
>
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https://issues.apache.org/jira/browse/SPARK-28295?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nils Skotara updated SPARK-28295:
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Description:
Using pyspark.ml.regression,
when I fit a GeneralizedLinearRegression like this:
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https://issues.apache.org/jira/browse/SPARK-28295?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nils Skotara updated SPARK-28295:
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Summary: Is there a way of getting feature names from pyspark.ml.regression
GeneralizedLinearReg
Nils Skotara created SPARK-28295:
Summary: Is there a way of getting feature names in from
pyspark.ml.regression GeneralizedLinearRegression?
Key: SPARK-28295
URL: https://issues.apache.org/jira/browse/SPARK-28295
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https://issues.apache.org/jira/browse/SPARK-28293?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-28293:
Assignee: (was: Apache Spark)
> Implement Spark's own GetTableTypesOperation
> --
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