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jiaan.geng updated SPARK-28410:
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Description:
||Function||Return Type||Description||Example||Result||
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jiaan.geng updated SPARK-28410:
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Description:
||Function||Return Type||Description||Example||Result||
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jiaan.geng commented on SPARK-28410:
I'm working on.
> ANSI SQL: OCTET_LENGTH function
>
jiaan.geng created SPARK-28410:
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Summary: ANSI SQL: OCTET_LENGTH function
Key: SPARK-28410
URL: https://issues.apache.org/jira/browse/SPARK-28410
Project: Spark
Issue Type: Sub-task
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Dongjoon Hyun updated SPARK-18299:
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Affects Version/s: (was: 2.0.1)
3.0.0
> Allow more aggregations on
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Dongjoon Hyun updated SPARK-18299:
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Labels: (was: bulk-closed)
> Allow more aggregations on KeyValueGroupedDataset
>
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Dongjoon Hyun updated SPARK-18299:
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Priority: Minor (was: Major)
> Allow more aggregations on KeyValueGroupedDataset
>
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Dongjoon Hyun reopened SPARK-18299:
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> Allow more aggregations on KeyValueGroupedDataset
>
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Hyukjin Kwon resolved SPARK-28398.
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Resolution: Incomplete
> Exception thrown while writing record:
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Hyukjin Kwon commented on SPARK-28398:
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Also, 2.0.2 is an EOL release where we don't land a fix
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Dongjoon Hyun updated SPARK-28389:
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Issue Type: Sub-task (was: Improvement)
Parent: SPARK-27764
> Use Java 8 API to add
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Hyukjin Kwon updated SPARK-28398:
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Priority: Major (was: Critical)
> Exception thrown while writing record:
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Dongjoon Hyun commented on SPARK-28389:
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I moved this to SPARK-27764 to give more visibility to
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Hyukjin Kwon commented on SPARK-28398:
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Please just don't copy and paste the error messages. No one
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Hyukjin Kwon updated SPARK-28398:
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Description:
{code}
ReceivedBlockTracker - Exception thrown while writing record:
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Dongjoon Hyun resolved SPARK-28408.
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Resolution: Fixed
Assignee: Maxim Gekk
Fix Version/s: 3.0.0
This is
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Dongjoon Hyun commented on SPARK-28389:
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As a side note, this will be another instance which is
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Dongjoon Hyun updated SPARK-28247:
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Component/s: Tests
> Flaky test: "query without test harness" in ContinuousSuite
>
Yuming Wang created SPARK-28409:
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Summary: SELECT FROM syntax
Key: SPARK-28409
URL: https://issues.apache.org/jira/browse/SPARK-28409
Project: Spark
Issue Type: Sub-task
Components:
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Apache Spark reassigned SPARK-27485:
Assignee: (was: Apache Spark)
> Certain query plans fail to run when
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Apache Spark reassigned SPARK-27485:
Assignee: Apache Spark
> Certain query plans fail to run when autoBroadcastJoinThreshold
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Marcelo Vanzin resolved SPARK-28407.
Resolution: Duplicate
This had already been cloned elsewhere.
> Support mapping
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Junjie Chen commented on SPARK-27499:
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Hi [~vanzin]
There is an opened Jira SPARK-28042 for this.
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Josh Rosen updated SPARK-28049:
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Fix Version/s: (was: 2.4.4)
(was: 2.4.3)
> i want to a first ticket in
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Apache Spark reassigned SPARK-28408:
Assignee: (was: Apache Spark)
> Restrict tested values of DateType, TimestampType
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Apache Spark reassigned SPARK-28408:
Assignee: Apache Spark
> Restrict tested values of DateType, TimestampType and
Maxim Gekk created SPARK-28408:
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Summary: Restrict tested values of DateType, TimestampType and
CalendarIntervalType
Key: SPARK-28408
URL: https://issues.apache.org/jira/browse/SPARK-28408
Project:
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Holden Karau commented on SPARK-28264:
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I'd love to know [~bryanc]'s thoughts on this proposal as
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Holden Karau commented on SPARK-28264:
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Maybe I missed it in the document, but I feel like I don't
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Marcelo Vanzin commented on SPARK-27499:
I can't see an option to reopen this, so I'll clone it
Marcelo Vanzin created SPARK-28407:
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Summary: Support mapping spark.local.dir to hostPath volume
Key: SPARK-28407
URL: https://issues.apache.org/jira/browse/SPARK-28407
Project: Spark
Issue
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Josh Rosen commented on SPARK-28340:
SPARK-23816 is a related issue about fetch failures caused by
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Josh Rosen commented on SPARK-28340:
Another variant of this issue, this time on the shuffle read
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Dongjoon Hyun updated SPARK-28152:
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Summary: Mapped ShortType to SMALLINT and FloatType to REAL for
MsSqlServerDialect (was:
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Dongjoon Hyun resolved SPARK-28152.
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Resolution: Fixed
Assignee: Shiv Prashant Sood
Fix Version/s: 3.0.0
This is
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Josh Rosen commented on SPARK-28375:
I'm not sure; is it possible to trigger double-optimization
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Apache Spark commented on SPARK-28201:
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User 'dongjoon-hyun' has created a pull request for this
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YoungGyu Chun commented on SPARK-28288:
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Thank you for the heads up. I will try this once the PR
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Dongjoon Hyun commented on SPARK-28152:
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Hi, [~shivsood]. Could you check `2.3.3` please, too?
>
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Dongjoon Hyun resolved SPARK-28404.
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Resolution: Fixed
Fix Version/s: 2.4.4
2.3.4
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Dongjoon Hyun reassigned SPARK-28404:
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Assignee: Gabor Somogyi
> Fix negative timeout value in
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Xiao Li commented on SPARK-28375:
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[~joshrosen] The issue is only triggered if we run the rule more than
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Ryan Blue commented on SPARK-28376:
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I don't think this is a regression. The linked issue was to
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Apache Spark reassigned SPARK-28406:
Assignee: Apache Spark
> Port union.sql
> --
>
> Key:
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Apache Spark reassigned SPARK-28406:
Assignee: (was: Apache Spark)
> Port union.sql
> --
>
>
Yuming Wang created SPARK-28406:
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Summary: Port union.sql
Key: SPARK-28406
URL: https://issues.apache.org/jira/browse/SPARK-28406
Project: Spark
Issue Type: Sub-task
Components: SQL,
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Dongjoon Hyun updated SPARK-28404:
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Summary: Fix negative timeout value in RateStreamContinuousPartitionReader
(was: Flaky test:
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Dongjoon Hyun updated SPARK-28404:
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Component/s: (was: Tests)
> Fix negative timeout value in
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Peter Toth updated SPARK-28405:
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Description:
The following query doesn't work in SparkSQL as t1.* and t2.* can't be used
after
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Peter Toth updated SPARK-28405:
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Summary: Join with USING caluse doesn't hide original tables (was: Join
with USING syntax doesn't
Peter Toth created SPARK-28405:
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Summary: Join with USING syntax doesn't hide original tables
Key: SPARK-28405
URL: https://issues.apache.org/jira/browse/SPARK-28405
Project: Spark
Issue Type:
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Apache Spark reassigned SPARK-28404:
Assignee: Apache Spark
> Flaky test: ContinuousStressSuite.only one epoch
>
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Apache Spark reassigned SPARK-28404:
Assignee: (was: Apache Spark)
> Flaky test: ContinuousStressSuite.only one epoch
>
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ZhongYu commented on SPARK-24666:
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Not any update for one year?
> Word2Vec generate infinity vectors
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ZhongYu updated SPARK-24666:
Priority: Critical (was: Major)
> Word2Vec generate infinity vectors when numIterations are large
>
Gabor Somogyi created SPARK-28404:
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Summary: Flaky test: ContinuousStressSuite.only one epoch
Key: SPARK-28404
URL: https://issues.apache.org/jira/browse/SPARK-28404
Project: Spark
Issue
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Sean Owen reassigned SPARK-28311:
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Assignee: angerszhu
> Spark Thrift Server protocol version compatibility setup too late
>
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Sean Owen resolved SPARK-28311.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 25083
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Edwin Biemond commented on SPARK-27927:
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make sense , for us we also needed to backport jackson to
Thomas Graves created SPARK-28403:
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Summary: Executor Allocation Manager can add an extra executor
when speculative tasks
Key: SPARK-28403
URL: https://issues.apache.org/jira/browse/SPARK-28403
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Stavros Kontopoulos edited comment on SPARK-27927 at 7/15/19 1:43 PM:
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Stavros Kontopoulos edited comment on SPARK-27927 at 7/15/19 1:42 PM:
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Stavros Kontopoulos edited comment on SPARK-27927 at 7/15/19 1:41 PM:
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Stavros Kontopoulos edited comment on SPARK-27927 at 7/15/19 1:40 PM:
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Stavros Kontopoulos edited comment on SPARK-27927 at 7/15/19 1:39 PM:
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Yu Wang commented on SPARK-28398:
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[~gsomogyi] Thank you for your answer.
I try it again by using
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Stavros Kontopoulos edited comment on SPARK-27927 at 7/15/19 1:38 PM:
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Stavros Kontopoulos edited comment on SPARK-27927 at 7/15/19 1:37 PM:
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Stavros Kontopoulos edited comment on SPARK-27927 at 7/15/19 1:35 PM:
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Stavros Kontopoulos commented on SPARK-27927:
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np. There will be a 2.4.4 release so there is
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Peter Toth updated SPARK-28402:
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Description:
Array indexing is 1-based in PostgreSQL:
Peter Toth created SPARK-28402:
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Summary: Array indexing is 1-based
Key: SPARK-28402
URL: https://issues.apache.org/jira/browse/SPARK-28402
Project: Spark
Issue Type: Sub-task
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Edwin Biemond commented on SPARK-27812:
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for SPARK-27927 indeed all is fine on spark 2.4.3 when I
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Edwin Biemond commented on SPARK-27927:
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Thanks you so much for your time and indeed all is fine
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yang commented on SPARK-22989:
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i came across this phenomenon on spark 2.2.1, when can there be an official
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Gabor Somogyi commented on SPARK-28398:
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Maybe you can try to increase
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Burak KÖSE commented on SPARK-28352:
I don't think I can show the code because there are more than
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Gabor Somogyi commented on SPARK-28398:
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I've had a look at this and not yet sure what's the exact
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Wenchen Fan resolved SPARK-28389.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 25153
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Wenchen Fan reassigned SPARK-28389:
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Assignee: Maxim Gekk
> Use Java 8 API to add months to dates
>
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Peter Toth updated SPARK-28401:
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Description:
||Function||Description||Example||Result||
|{{\|\|}}|element-to-array
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Apache Spark reassigned SPARK-28390:
Assignee: Apache Spark
> Convert and port 'pgSQL/select_having.sql' into UDF test base
>
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Apache Spark reassigned SPARK-28390:
Assignee: (was: Apache Spark)
> Convert and port 'pgSQL/select_having.sql' into UDF
Peter Toth created SPARK-28401:
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Summary: Add built-in Array Functions: element to array
concatenation
Key: SPARK-28401
URL: https://issues.apache.org/jira/browse/SPARK-28401
Project: Spark
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Yuming Wang commented on SPARK-28086:
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Could we use {{rand()}}?
> Adds `random()` sql function
>
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Peter Toth updated SPARK-28400:
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Description:
||Function||Return Type||Description||Example||Result||
Peter Toth created SPARK-28400:
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Summary: Add built-in Array Functions: array_upper
Key: SPARK-28400
URL: https://issues.apache.org/jira/browse/SPARK-28400
Project: Spark
Issue Type: Sub-task
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zhengruifeng updated SPARK-28399:
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Issue Type: New Feature (was: Improvement)
> Impl RobustScaler
> -
>
>
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Apache Spark reassigned SPARK-28399:
Assignee: Apache Spark
> Impl RobustScaler
> -
>
> Key:
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https://issues.apache.org/jira/browse/SPARK-28399?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-28399:
Assignee: (was: Apache Spark)
> Impl RobustScaler
> -
>
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zhengruifeng created SPARK-28399:
Summary: Impl RobustScaler
Key: SPARK-28399
URL: https://issues.apache.org/jira/browse/SPARK-28399
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-28397?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yu Wang resolved SPARK-28397.
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Resolution: Invalid
> Exception thrown while writing record: BatchCleanupEvent(ArrayBuffer())
>
Yu Wang created SPARK-28398:
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Summary: Exception thrown while writing record:
BatchCleanupEvent(ArrayBuffer())
Key: SPARK-28398
URL: https://issues.apache.org/jira/browse/SPARK-28398
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-25411?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16885028#comment-16885028
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Wang, Gang commented on SPARK-25411:
I referred to ORACLE DDLs, quite close to PG.
> Implement
Yu Wang created SPARK-28397:
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Summary: Exception thrown while writing record:
BatchCleanupEvent(ArrayBuffer())
Key: SPARK-28397
URL: https://issues.apache.org/jira/browse/SPARK-28397
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-21067?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16885019#comment-16885019
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Xianyin Xin commented on SPARK-21067:
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[~dricard]，does the attached patch work in your case?
>
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https://issues.apache.org/jira/browse/SPARK-28368?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16885001#comment-16885001
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Kideok Kim edited comment on SPARK-28368 at 7/15/19 9:34 AM:
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Got it. I
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https://issues.apache.org/jira/browse/SPARK-28368?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16885001#comment-16885001
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Kideok Kim commented on SPARK-28368:
Got it. I thought maybe we can add more comments on that api
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https://issues.apache.org/jira/browse/SPARK-28368?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16884971#comment-16884971
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Kideok Kim edited comment on SPARK-28368 at 7/15/19 9:23 AM:
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Thank you for
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https://issues.apache.org/jira/browse/SPARK-28368?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16884980#comment-16884980
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Hyukjin Kwon commented on SPARK-28368:
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Yea that's due to Java limitation. What do we need to fix
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