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Saisai Shao commented on SPARK-24062:
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Issue resolved by pull request 21138
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Saisai Shao resolved SPARK-24062.
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Resolution: Fixed
Assignee: Saisai Shao
Fix Version/s: 2.4.0
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Takuya Ueshin resolved SPARK-23916.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21011
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Takuya Ueshin reassigned SPARK-23916:
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Assignee: Marco Gaido
> High-order function: array_join(x, delimiter, null_replacement)
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Takuya Ueshin resolved SPARK-23902.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21008
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Takuya Ueshin reassigned SPARK-23902:
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Assignee: Marco Gaido
> Provide an option in months_between UDF to disable rounding-off
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shining commented on SPARK-21645:
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When left outer join occurs between table a and table b, the filter of
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Apache Spark reassigned SPARK-21645:
Assignee: (was: Apache Spark)
> SparkSQL Left outer join get the error result when
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Apache Spark reassigned SPARK-21645:
Assignee: Apache Spark
> SparkSQL Left outer join get the error result when use phoenix
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Apache Spark commented on SPARK-21645:
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User 'shining1989' has created a pull request for this
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Hyukjin Kwon commented on SPARK-21661:
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Another note: we now have
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Hyukjin Kwon commented on SPARK-23151:
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[~ste...@apache.org], is it an exact duplicate of
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Apache Spark commented on SPARK-24094:
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User 'tdas' has created a pull request for this issue:
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Apache Spark reassigned SPARK-24094:
Assignee: Tathagata Das (was: Apache Spark)
> Change description strings of v2 streaming
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kumar edited comment on SPARK-24089 at 4/26/18 1:50 AM:
UNION just joins the
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Apache Spark reassigned SPARK-24094:
Assignee: Apache Spark (was: Tathagata Das)
> Change description strings of v2 streaming
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kumar commented on SPARK-24089:
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UNION just joins the DataFrames, i am not looking for that. I want
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Hyukjin Kwon commented on SPARK-24089:
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(Critical+ is also usually reserved for committers,
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Hyukjin Kwon updated SPARK-24089:
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Priority: Major (was: Critical)
> DataFrame.write().mode(SaveMode.Append).insertInto(TABLE)
>
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Hyukjin Kwon resolved SPARK-24086.
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Resolution: Invalid
>From a quick look, that sounds because you didn't provide a profile for
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Hyukjin Kwon resolved SPARK-24092.
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Resolution: Invalid
Questions should go to mailing list. You could have a better and quicker
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Hyukjin Kwon reassigned SPARK-24069:
Assignee: Hyukjin Kwon
> Add array_max / array_min functions
>
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Hyukjin Kwon resolved SPARK-24069.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21142
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Jungtaek Lim commented on SPARK-24036:
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Btw, I would like to say the idea for iterator hack and
Tathagata Das created SPARK-24094:
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Summary: Change description strings of v2 streaming sources to
reflect the change
Key: SPARK-24094
URL: https://issues.apache.org/jira/browse/SPARK-24094
Project:
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Takeshi Yamamuro commented on SPARK-24070:
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Sure, I checked the numbers and see:
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Joseph K. Bradley commented on SPARK-22210:
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[~lu.DB] Would you like to do this? It should be
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Jungtaek Lim edited comment on SPARK-24036 at 4/25/18 10:54 PM:
Maybe
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Jungtaek Lim commented on SPARK-24036:
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Maybe better to share what I've observed from continuous
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Bruce Robbins edited comment on SPARK-23715 at 4/25/18 10:00 PM:
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Joseph K. Bradley resolved SPARK-23824.
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Resolution: Duplicate
> Make inpurityStats publicly accessible in ml.tree.Node
>
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Apache Spark commented on SPARK-24057:
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User 'huaxingao' has created a pull request for this issue:
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Apache Spark reassigned SPARK-24057:
Assignee: Apache Spark
> put the real data type in the AssertionError message
>
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Apache Spark reassigned SPARK-24057:
Assignee: (was: Apache Spark)
> put the real data type in the AssertionError message
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Huaxin Gao updated SPARK-24057:
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Issue Type: Improvement (was: Bug)
> put the real data type in the AssertionError message
>
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Weiqing Yang updated SPARK-24093:
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Description: To make third parties able to get the information of streaming
writer, for example,
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Arun Mahadevan commented on SPARK-24036:
Hi [~joseph.torres], I am also interested to contribute
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Tavis Barr commented on SPARK-13446:
I do not believe the issue causing the above stack trace has
Weiqing Yang created SPARK-24093:
Summary: Make some fields of
KafkaStreamWriter/InternalRowMicroBatchWriter visible to outside of the classes
Key: SPARK-24093
URL:
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David Figueroa updated SPARK-24092:
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Description:
{{spark.python.worker.reuse is true by default but even after explicitly
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David Figueroa updated SPARK-24092:
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Description:
{{spark.python.worker.reuse is true by default but even after explicitly
David Figueroa created SPARK-24092:
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Summary: spark.python.worker.reuse does not work?
Key: SPARK-24092
URL: https://issues.apache.org/jira/browse/SPARK-24092
Project: Spark
Issue Type:
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Li Jin commented on SPARK-22239:
[~hvanhovell], I have done a bit further research of UDF over rolling
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Marco Gaido commented on SPARK-24089:
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Anyway, for what I can see from your post on stackoverflow,
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Marco Gaido commented on SPARK-24089:
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Blocker can be set only by commiters, I moved to Critical.
>
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Marco Gaido updated SPARK-24089:
Priority: Critical (was: Blocker)
> DataFrame.write().mode(SaveMode.Append).insertInto(TABLE)
>
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Tathagata Das resolved SPARK-24050.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 21126
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Kazuaki Ishizaki edited comment on SPARK-23933 at 4/25/18 6:48 PM:
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Bruce Robbins commented on SPARK-23715:
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[~cloud_fan]
I'll give separate answers for String input
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Yinan Li updated SPARK-24091:
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Affects Version/s: (was: 2.3.0)
2.4.0
> Internally used ConfigMap prevents
Yinan Li created SPARK-24091:
Summary: Internally used ConfigMap prevents use of user-specified
ConfigMaps carrying Spark configs files
Key: SPARK-24091
URL: https://issues.apache.org/jira/browse/SPARK-24091
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Apache Spark commented on SPARK-23850:
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User 'vanzin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23850:
Assignee: Apache Spark
> We should not redact username|user|url from UI by default
>
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Apache Spark reassigned SPARK-23850:
Assignee: (was: Apache Spark)
> We should not redact username|user|url from UI by
Anirudh Ramanathan created SPARK-24090:
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Summary: Kubernetes Backend Hotlist for Spark 2.4
Key: SPARK-24090
URL: https://issues.apache.org/jira/browse/SPARK-24090
Project: Spark
Issue
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kumar updated SPARK-24089:
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Component/s: Java API
> DataFrame.write().mode(SaveMode.Append).insertInto(TABLE)
>
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Bryan Cutler commented on SPARK-23874:
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[~smilegator] the Arrow community decided to put their
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kumar updated SPARK-24089:
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Description:
I am completely stuck with this issue, unable to progress further. For more
info pls refer this
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kumar updated SPARK-24089:
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Summary: DataFrame.write().mode(SaveMode.Append).insertInto(TABLE) (was:
kumar created SPARK-24089:
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Summary: DataFrame.write.mode(SaveMode.Append).insertInto(TABLE)
Key: SPARK-24089
URL: https://issues.apache.org/jira/browse/SPARK-24089
Project: Spark
Issue Type: Bug
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Cody Koeninger commented on SPARK-24067:
The original PR
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Jose Torres commented on SPARK-24036:
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The broader Spark community is of course always welcome to
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Xiao Li commented on SPARK-24070:
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[~mswit] Thank you for your suggestions! This is very helpful!
>
Xiaoju Wu created SPARK-24088:
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Summary: only HadoopRDD leverage HDFS Cache as preferred location
Key: SPARK-24088
URL: https://issues.apache.org/jira/browse/SPARK-24088
Project: Spark
Issue
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Apache Spark reassigned SPARK-22674:
Assignee: Apache Spark
> PySpark breaks serialization of namedtuple subclasses
>
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Apache Spark commented on SPARK-22674:
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User 'superbobry' has created a pull request for this issue:
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Apache Spark reassigned SPARK-22674:
Assignee: (was: Apache Spark)
> PySpark breaks serialization of namedtuple subclasses
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Tr3wory commented on SPARK-23929:
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Yes, but that's not simpler than using "columns=[...]":
{code:python}
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Kazuaki Ishizaki commented on SPARK-23933:
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Thank you for your comment.
The current map can take
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Apache Spark commented on SPARK-24087:
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User 'yucai' has created a pull request for this issue:
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Apache Spark reassigned SPARK-24087:
Assignee: (was: Apache Spark)
> Avoid shuffle when join keys are a super-set of
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Apache Spark reassigned SPARK-24087:
Assignee: Apache Spark
> Avoid shuffle when join keys are a super-set of bucket keys
>
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Sean Owen commented on SPARK-24067:
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It seems like a clear bug fix. Granted it's not trivial, but it is
yucai created SPARK-24087:
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Summary: Avoid shuffle when join keys are a super-set of bucket
keys
Key: SPARK-24087
URL: https://issues.apache.org/jira/browse/SPARK-24087
Project: Spark
Issue Type:
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Imran Rashid commented on SPARK-20087:
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Sound good to me, I'm in favor of the change
> Include
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Li Jin commented on SPARK-23929:
[~tr3w] does using OrderedDict help in your case?
> pandas_udf schema
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Alex Wajda commented on SPARK-23933:
Why can't {{map}} be overloaded? So that if you pass one array
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Cody Koeninger commented on SPARK-24067:
Given the response on the dev list about criteria for
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fengchaoge updated SPARK-21337:
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Attachment: (was: 1tes.zip)
> SQL which has large ‘case when’ expressions may cause code
Chandra Hasan created SPARK-24086:
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Summary: Exception while executing spark streaming examples
Key: SPARK-24086
URL: https://issues.apache.org/jira/browse/SPARK-24086
Project: Spark
Issue
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Tr3wory commented on SPARK-23929:
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I think the problem is even more nuanced: in python the order of the
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Apache Spark commented on SPARK-23927:
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User 'wajda' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-23927?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23927:
Assignee: (was: Apache Spark)
> High-order function: sequence
>
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Apache Spark reassigned SPARK-23927:
Assignee: Apache Spark
> High-order function: sequence
> -
>
Alexey Baturin created SPARK-24085:
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Summary: Scalar subquery error
Key: SPARK-24085
URL: https://issues.apache.org/jira/browse/SPARK-24085
Project: Spark
Issue Type: Bug
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fengchaoge updated SPARK-21337:
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Attachment: 1tes.zip
> SQL which has large ‘case when’ expressions may cause code generation beyond
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Steve Loughran commented on SPARK-18673:
looking @ our local commit logs, the HDP version
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Steve Loughran commented on SPARK-18673:
HIVE-16081 commit 93db527f47 contains the one-line
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https://issues.apache.org/jira/browse/SPARK-24084?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhoukang updated SPARK-24084:
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Description: For spark-sql we can add job group id for the same statement.
(was: For thrift server we
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https://issues.apache.org/jira/browse/SPARK-24084?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhoukang updated SPARK-24084:
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Summary: Add job group id for query through spark-sql (was: Add job group
id for query through Thrift
zhoukang created SPARK-24084:
Summary: Add job group id for query through Thrift Server
Key: SPARK-24084
URL: https://issues.apache.org/jira/browse/SPARK-24084
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-24070?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16452096#comment-16452096
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Michał Świtakowski edited comment on SPARK-24070 at 4/25/18 11:43 AM:
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https://issues.apache.org/jira/browse/SPARK-24070?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16452096#comment-16452096
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Michał Świtakowski commented on SPARK-24070:
[~maropu] I think you can just use the existing
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https://issues.apache.org/jira/browse/SPARK-23880?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-23880.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21018
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https://issues.apache.org/jira/browse/SPARK-23880?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan reassigned SPARK-23880:
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Assignee: Takeshi Yamamuro
> table cache should be lazy and don't trigger any jobs.
>
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https://issues.apache.org/jira/browse/SPARK-24012?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16452059#comment-16452059
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Apache Spark commented on SPARK-24012:
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User 'cloud-fan' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-20894?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16452041#comment-16452041
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Aydin Kocas commented on SPARK-20894:
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removing the checkpoint location along with the
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https://issues.apache.org/jira/browse/SPARK-20894?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16452030#comment-16452030
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Aydin Kocas commented on SPARK-20894:
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having the same issue on 2.3 - what's the solution? Am
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https://issues.apache.org/jira/browse/SPARK-24012?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-24012.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21100
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https://issues.apache.org/jira/browse/SPARK-24058?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24058:
Assignee: Apache Spark
> Default Params in ML should be saved separately: Python API
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