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Modi Tamam commented on SPARK-28269:
Sorry, I had a typo, not stack but *stuck*.
There shouldn't be
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Ruslan Dautkhanov updated SPARK-28266:
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Summary: data correctness issue: data duplication when `path` serde
property is
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Terry Kim commented on SPARK-28271:
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[~hyukjin.kwon], please assign this to me. I am happy to help
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Zhu, Lipeng updated SPARK-28310:
Issue Type: Improvement (was: Sub-task)
Parent: (was: SPARK-27764)
> ANSI SQL
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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
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Apache Spark reassigned SPARK-28311:
Assignee: Apache Spark
> Spark Thrift Server protocol version compatibility setup too
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Zhu, Lipeng updated SPARK-28310:
Issue Type: Sub-task (was: Bug)
Parent: SPARK-27764
> ANSI SQL grammar support:
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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
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Yuming Wang edited comment on SPARK-28023 at 7/9/19 3:07 AM:
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Resolve the
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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
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Yuming Wang resolved SPARK-28023.
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Resolution: Later
Resolve the issue as {{Later}}. More details:
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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
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Wenchen Fan reassigned SPARK-28273:
---
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
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Apache Spark reassigned SPARK-28310:
Assignee: (was: Apache Spark)
> ANSI SQL grammar support:
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Apache Spark reassigned SPARK-28310:
Assignee: Apache Spark
> ANSI SQL grammar support: first_value/last_value(expression,
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
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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
>
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Dongjoon Hyun updated SPARK-28309:
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Component/s: (was: R)
SparkR
> AppVeyor fails to install testthat
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Apache Spark reassigned SPARK-28309:
Assignee: Apache Spark
> AppVeyor fails to install testthat (1.0.2) due to previously
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Apache Spark reassigned SPARK-28309:
Assignee: (was: Apache Spark)
> AppVeyor fails to install testthat (1.0.2) due to
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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
>
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Hyukjin Kwon commented on SPARK-28295:
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For questions, you can ask it to mailing list. Let's
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:
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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
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Apache Spark reassigned SPARK-28308:
Assignee: Apache Spark
> CalendarInterval sub-second part should be padded before
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Apache Spark reassigned SPARK-28308:
Assignee: (was: Apache Spark)
> CalendarInterval sub-second part should be padded
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Dongjoon Hyun updated SPARK-28308:
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Labels: correctness (was: )
> CalendarInterval sub-second part should be padded before
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
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
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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:
>
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
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https://issues.apache.org/jira/browse/SPARK-22876?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16880508#comment-16880508
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Nikita Gorbachevski commented on SPARK-22876:
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Hi, i believe we should reopen this issue
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Apache Spark reassigned SPARK-28305:
Assignee: Apache Spark
> When the AM cannot obtain the container loss reason, ask
>
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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
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Eyal Farago commented on SPARK-28304:
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cc [~cloud_fan],[~hvanhovell]
> FileFormatWriter introduces
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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:
---
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
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Gabor Somogyi updated SPARK-28261:
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Affects Version/s: 2.4.3
> Flaky test:
>
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Apache Spark reassigned SPARK-28301:
Assignee: Wenchen Fan (was: Apache Spark)
> fix the behavior of table name resolution
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Apache Spark reassigned SPARK-28301:
Assignee: Apache Spark (was: Wenchen Fan)
> fix the behavior of table name resolution
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Apache Spark reassigned SPARK-28302:
Assignee: (was: Apache Spark)
> SparkLauncher: The process cannot access the file
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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 DELETE/UPDATE/MERGE
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Xianyin Xin updated SPARK-28303:
Description:
Now many datasources (delta, jdbc, hive with transaction support, kudu, etc)
Xianyin Xin created SPARK-28303:
---
Summary: Support DELETE/UPDATE/MERGE Operations in DataSource V2
Key: SPARK-28303
URL: https://issues.apache.org/jira/browse/SPARK-28303
Project: Spark
Issue
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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*,
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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
>
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Apache Spark reassigned SPARK-28261:
Assignee: (was: Apache Spark)
> Flaky test:
>
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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*,
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Apache Spark reassigned SPARK-28261:
Assignee: Apache Spark
> Flaky test:
>
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
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
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Bozhidar Bozhanov commented on SPARK-28255:
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[~hyukjin.kwon] yes, upgrade the dependency to a
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Modi Tamam commented on SPARK-28269:
[~hyukjin.kwon] I've updated the message with simple code so
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Modi Tamam updated SPARK-28269:
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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
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Ramanjaneya Naidu Nalla updated SPARK-28300:
Description:
Hi,
I am facing when we run the spark KMEAN algorithm
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 substr(version(), 0,
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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
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:
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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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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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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:
--
Summary: Handling outer links in CTE subquery expressions
Key: SPARK-28297
URL: https://issues.apache.org/jira/browse/SPARK-28297
Project: Spark
Issue Type:
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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}
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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}
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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}
Peter Toth created SPARK-28296:
--
Summary: Improved VALUES support
Key: SPARK-28296
URL: https://issues.apache.org/jira/browse/SPARK-28296
Project: Spark
Issue Type: Sub-task
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Apache Spark reassigned SPARK-27924:
Assignee: Apache Spark
> ANSI SQL: Boolean Test
> --
>
>
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Apache Spark reassigned SPARK-27924:
Assignee: (was: Apache Spark)
> ANSI SQL: Boolean Test
> --
>
>
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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
Nils Skotara created SPARK-28295:
Summary: Is there a way of getting feature names in from
pyspark.ml.regression GeneralizedLinearRegression?
Key: SPARK-28295
URL:
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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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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: Apache Spark
> Implement Spark's own GetTableTypesOperation
>
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Apache Spark reassigned SPARK-28294:
Assignee: Apache Spark
> Support `spark.history.fs.cleaner.maxNum` configuration
>
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Apache Spark reassigned SPARK-28294:
Assignee: (was: Apache Spark)
> Support `spark.history.fs.cleaner.maxNum`
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Yuming Wang commented on SPARK-28293:
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I'm working on
> Implement Spark's own
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Yuming Wang updated SPARK-28293:
Description:
Build with Hive 1.2.1:
!Hive-1.2.1.png!
Build with Hive 2.3.5:
!Hive-2.3.5.png!
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Yuming Wang updated SPARK-28293:
Attachment: Hive-1.2.1.png
> Implement Spark's own GetTableTypesOperation
>
Dongjoon Hyun created SPARK-28294:
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Summary: Support `spark.history.fs.cleaner.maxNum` configuration
Key: SPARK-28294
URL: https://issues.apache.org/jira/browse/SPARK-28294
Project: Spark
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Yuming Wang updated SPARK-28293:
Attachment: Hive-2.3.5.png
> Implement Spark's own GetTableTypesOperation
>
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