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Sun Rui commented on SPARK-14037:
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spark 1.6.1 release, standalone mode.
bin/sparkR --master spark://
run
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Wenchen Fan commented on SPARK-10925:
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If you wanna remove duplicated join keys, you can do
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Apache Spark reassigned SPARK-14091:
Assignee: Apache Spark
> Consider improving performance of SparkContext.getCallSite()
>
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Apache Spark commented on SPARK-14091:
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User 'rajeshbalamohan' has created a pull request for this
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Apache Spark reassigned SPARK-14091:
Assignee: (was: Apache Spark)
> Consider improving performance of
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https://issues.apache.org/jira/browse/SPARK-11231?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15207877#comment-15207877
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Wenchen Fan commented on SPARK-11231:
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I'm not familiar with R or Spark R API, but for scala version,
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Shivaram Venkataraman commented on SPARK-14074:
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[~sunrui] Would you have a chance to check
Rajesh Balamohan created SPARK-14091:
Summary: Consider improving performance of
SparkContext.getCallSite()
Key: SPARK-14091
URL: https://issues.apache.org/jira/browse/SPARK-14091
Project: Spark
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Xiao Li updated SPARK-14085:
Description:
Support star expansion in hash and concat. For example
{code}
val structDf =
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Xiao Li updated SPARK-14085:
Description:
Support star expansion in hash. For example
{code}
val structDf = testData2.select("a",
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Xiao Li updated SPARK-14085:
Summary: Star Expansion for Hash (was: Star Expansion for Hash and Concat)
> Star Expansion for Hash
>
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Reynold Xin resolved SPARK-10146.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Have an easy way to set data source
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Reynold Xin commented on SPARK-10146:
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I think we are already doing this. I'm going to close the
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Reynold Xin closed SPARK-12769.
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Resolution: Won't Fix
Closing as won't fix for now since doing this change would make the explain
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Reynold Xin resolved SPARK-12767.
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Resolution: Fixed
Assignee: Reynold Xin
Fix Version/s: 2.0.0
> Improve
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Reynold Xin closed SPARK-12997.
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Resolution: Not A Problem
> Use cast expression to perform type cast in csv
>
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Reynold Xin resolved SPARK-13401.
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Resolution: Fixed
Assignee: Yong Tang
Fix Version/s: 2.0.0
> Fix SQL test
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Reynold Xin commented on SPARK-12855:
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Got it - we can add this back, but we need to wait till we
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Reynold Xin commented on SPARK-14081:
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Yes a pull request would be great. Probably an one line
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Reynold Xin resolved SPARK-14072.
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Resolution: Fixed
Assignee: Kazuaki Ishizaki
Fix Version/s: 2.0.0
> Show JVM
chenalong created SPARK-14090:
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Summary: The optimization method of convex function
Key: SPARK-14090
URL: https://issues.apache.org/jira/browse/SPARK-14090
Project: Spark
Issue Type: Task
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Travis Crawford commented on SPARK-14081:
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Agreed all data types should allow filling without
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Sun Rui commented on SPARK-14074:
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yes, unstable source may cause un-expected test failures. I agree we
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Apache Spark commented on SPARK-14089:
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User 'lw-lin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-14089:
Assignee: Apache Spark
> Remove methods that has been deprecated since 1.1.x, 1.2.x and
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Apache Spark reassigned SPARK-14089:
Assignee: (was: Apache Spark)
> Remove methods that has been deprecated since 1.1.x,
Liwei Lin created SPARK-14089:
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Summary: Remove methods that has been deprecated since 1.1.x,
1.2.x and 1.3.x
Key: SPARK-14089
URL: https://issues.apache.org/jira/browse/SPARK-14089
Project: Spark
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Joseph Levin commented on SPARK-12855:
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Reynold - We would except grudgingly. Of course we don't
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Reynold Xin commented on SPARK-12855:
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Joseph - in the case of creating your own parser, you are
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Joseph Levin commented on SPARK-12855:
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I have some concern about this task. I am working on a
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Reynold Xin commented on SPARK-14081:
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This is actually somewhat tricky, because we will lose
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Apache Spark reassigned SPARK-14088:
Assignee: Apache Spark (was: Reynold Xin)
> Some Dataset API touch-up
>
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Apache Spark reassigned SPARK-14088:
Assignee: Reynold Xin (was: Apache Spark)
> Some Dataset API touch-up
>
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Apache Spark commented on SPARK-14088:
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User 'rxin' has created a pull request for this issue:
Reynold Xin created SPARK-14088:
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Summary: Some Dataset API touch-up
Key: SPARK-14088
URL: https://issues.apache.org/jira/browse/SPARK-14088
Project: Spark
Issue Type: Sub-task
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Reynold Xin updated SPARK-14088:
Description:
1. Deprecated unionAll. It is pretty confusing to have both "union" and
"unionAll"
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KaiXinXIaoLei updated SPARK-14066:
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Description:
In spark 1.5.1, I run "sh bin/spark-sql --conf spark.sql.dialect=sql", and run
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KaiXinXIaoLei edited comment on SPARK-14066 at 3/23/16 1:19 AM:
In the
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Joseph K. Bradley updated SPARK-14033:
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Summary: Merging Estimator & Model (was: Merging Estimator, Model, &
Transformer)
>
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Apache Spark reassigned SPARK-14087:
Assignee: (was: Apache Spark)
> PySpark ML JavaModel does not properly own params
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Apache Spark commented on SPARK-14087:
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User 'BryanCutler' has created a pull request for this
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Apache Spark reassigned SPARK-14087:
Assignee: Apache Spark
> PySpark ML JavaModel does not properly own params after being
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Davies Liu resolved SPARK-13806.
Resolution: Fixed
Fix Version/s: 1.6.2
1.5.3
2.1.0
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Bryan Cutler commented on SPARK-14087:
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I can post a PR for this
> PySpark ML JavaModel does not
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Bryan Cutler updated SPARK-14087:
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Attachment: feature.py
> PySpark ML JavaModel does not properly own params after being fit
>
Bryan Cutler created SPARK-14087:
Summary: PySpark ML JavaModel does not properly own params after
being fit
Key: SPARK-14087
URL: https://issues.apache.org/jira/browse/SPARK-14087
Project: Spark
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Joseph K. Bradley commented on SPARK-5991:
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Reopening since we'll need to add items once more
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Joseph K. Bradley reopened SPARK-5991:
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> Python API for ML model import/export
> -
>
>
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Joseph K. Bradley updated SPARK-5991:
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Fix Version/s: (was: 2.0.0)
> Python API for ML model import/export
>
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Apache Spark reassigned SPARK-14086:
Assignee: (was: Apache Spark)
> Add DDL commands to ANTLR4 Parser
>
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Apache Spark commented on SPARK-14086:
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User 'hvanhovell' has created a pull request for this issue:
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Apache Spark reassigned SPARK-14086:
Assignee: Apache Spark
> Add DDL commands to ANTLR4 Parser
>
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Joseph K. Bradley resolved SPARK-5991.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Python API for ML model import/export
>
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Apache Spark reassigned SPARK-14085:
Assignee: (was: Apache Spark)
> Star Expansion for Hash and Concat
>
Herman van Hovell created SPARK-14086:
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Summary: Add DDL commands to ANTLR4 Parser
Key: SPARK-14086
URL: https://issues.apache.org/jira/browse/SPARK-14086
Project: Spark
Issue Type:
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Apache Spark commented on SPARK-14085:
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User 'gatorsmile' has created a pull request for this issue:
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Apache Spark reassigned SPARK-14085:
Assignee: Apache Spark
> Star Expansion for Hash and Concat
>
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Xiao Li updated SPARK-14085:
Description:
Support star expansion in hash and concat. For example
{code}
val structDf =
Xiao Li created SPARK-14085:
---
Summary: Star Expansion for Hash and Concat
Key: SPARK-14085
URL: https://issues.apache.org/jira/browse/SPARK-14085
Project: Spark
Issue Type: Improvement
Xiangrui Meng created SPARK-14084:
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Summary: Parallel training jobs in model selection
Key: SPARK-14084
URL: https://issues.apache.org/jira/browse/SPARK-14084
Project: Spark
Issue Type: New
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Xiangrui Meng updated SPARK-14084:
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Description: In CrossValidator and TrainValidationSplit, we run training
jobs one by one. If
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holdenk commented on SPARK-6717:
So looking at the code a little bit I think its probably better to need
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Shixiong Zhu commented on SPARK-14079:
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It's already there. See "spark.sql.ui.retainedExecutions" in
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Apache Spark reassigned SPARK-13952:
Assignee: (was: Apache Spark)
> spark.ml GBT algs need to use random seed
>
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Apache Spark commented on SPARK-13952:
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User 'sethah' has created a pull request for this issue:
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Reynold Xin updated SPARK-14083:
Description:
One big advantage of the Dataset API is the type safety, at the cost of
performance
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Apache Spark reassigned SPARK-13952:
Assignee: Apache Spark
> spark.ml GBT algs need to use random seed
>
Reynold Xin created SPARK-14083:
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Summary: Analyze JVM bytecode and turn closures into Catalyst
expressions
Key: SPARK-14083
URL: https://issues.apache.org/jira/browse/SPARK-14083
Project: Spark
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Xusen Yin commented on SPARK-14041:
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[~mengxr] Maybe no need to divide them into several JIRAs, since
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Xusen Yin updated SPARK-14041:
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Description:
Please go through the current example code and list possible duplicates.
Duplicates need
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Xusen Yin updated SPARK-14041:
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Description:
Please go through the current example code and list possible duplicates.
Duplicates need
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Apache Spark reassigned SPARK-13019:
Assignee: Xin Ren (was: Apache Spark)
> Replace example code in mllib-statistics.md
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Apache Spark commented on SPARK-13019:
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User 'keypointt' has created a pull request for this issue:
Timothy Chen created SPARK-14082:
Summary: Add support for GPU resource when running on Mesos
Key: SPARK-14082
URL: https://issues.apache.org/jira/browse/SPARK-14082
Project: Spark
Issue
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Burak KÖSE commented on SPARK-11666:
Hi, can you share links for references about that?
> Find the
Travis Crawford created SPARK-14081:
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Summary: DataFrameNaFunctions fill should not convert float fields
to double
Key: SPARK-14081
URL: https://issues.apache.org/jira/browse/SPARK-14081
Project:
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Apache Spark reassigned SPARK-14080:
Assignee: (was: Apache Spark)
> Improve the codegen for Filter
>
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Apache Spark commented on SPARK-14080:
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User 'bomeng' has created a pull request for this issue:
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Apache Spark reassigned SPARK-14080:
Assignee: Apache Spark
> Improve the codegen for Filter
> --
Bo Meng created SPARK-14080:
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Summary: Improve the codegen for Filter
Key: SPARK-14080
URL: https://issues.apache.org/jira/browse/SPARK-14080
Project: Spark
Issue Type: Improvement
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Davies Liu commented on SPARK-14079:
Yes, that's what I meant.
> Limit the number of queries on SQL
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Xin Ren reopened SPARK-13019:
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need to fix scala-2.10 compile
> Replace example code in mllib-statistics.md using include_example
>
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Xiangrui Meng resolved SPARK-13449.
---
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11890
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Sunitha Kambhampati commented on SPARK-14040:
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I can reproduce this on my master ( v2.0
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Andrew Or commented on SPARK-14079:
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we should do `maxRetainedQueries` or something, similar to what we
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Apache Spark commented on SPARK-14075:
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User 'JoshRosen' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-13514?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15207236#comment-15207236
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Satish Kolli edited comment on SPARK-13514 at 3/22/16 8:37 PM:
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I just
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Satish Kolli edited comment on SPARK-13514 at 3/22/16 8:34 PM:
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I just
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JESSE CHEN commented on SPARK-13864:
Tried on two recent builds having issues running to completion.
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https://issues.apache.org/jira/browse/SPARK-13514?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15207236#comment-15207236
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Satish Kolli commented on SPARK-13514:
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I just upgraded the shuffle service with 1.6.1 and the *YARN
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Davies Liu updated SPARK-14079:
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Description: The SQL UI become very very slow if there are hundreds of SQL
queries on it.
> Limit
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Davies Liu commented on SPARK-14079:
cc [~zsxwing] [~andrewor14]
> Limit the number of queries on
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https://issues.apache.org/jira/browse/SPARK-13887?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15207227#comment-15207227
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Apache Spark commented on SPARK-13887:
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User 'holdenk' has created a pull request for this issue:
Davies Liu created SPARK-14079:
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Summary: Limit the number of queries on SQL UI
Key: SPARK-14079
URL: https://issues.apache.org/jira/browse/SPARK-14079
Project: Spark
Issue Type: Improvement
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Apache Spark reassigned SPARK-13887:
Assignee: (was: Apache Spark)
> PyLint should fail fast to make errors easier to
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Apache Spark reassigned SPARK-13887:
Assignee: Apache Spark
> PyLint should fail fast to make errors easier to discover
>
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Gayathri Murali edited comment on SPARK-13733 at 3/22/16 8:28 PM:
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Gayathri Murali commented on SPARK-13733:
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[~mengxr] [~dwmclary]
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JESSE CHEN closed SPARK-13858.
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Resolution: Not A Bug
Schema updates generated correct results in both spark 1.6 and 2.0. Good to
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https://issues.apache.org/jira/browse/SPARK-13971?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15207168#comment-15207168
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Sunitha Kambhampati commented on SPARK-13971:
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fwiw, it is not the exact same env but I tried
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