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Xiao Li resolved SPARK-24244.
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Resolution: Fixed
> Parse only required columns of CSV file
> ---
>
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Xiao Li updated SPARK-24244:
Priority: Major (was: Minor)
> Parse only required columns of CSV file
>
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Xiao Li resolved SPARK-24368.
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Resolution: Fixed
Assignee: Maxim Gekk
Fix Version/s: 2.4.0
> Flaky tests:
>
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Hyukjin Kwon reassigned SPARK-24367:
Assignee: Gengliang Wang
> Parquet: use JOB_SUMMARY_LEVEL instead of deprecated flag
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Hyukjin Kwon resolved SPARK-24367.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21411
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Hyukjin Kwon resolved SPARK-23929.
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Resolution: Duplicate
> pandas_udf schema mapped by position and not by name
>
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Apache Spark reassigned SPARK-24235:
Assignee: (was: Apache Spark)
> create the top-of-task RDD sending rows to the remote
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Apache Spark commented on SPARK-24235:
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User 'jose-torres' has created a pull request for this
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Apache Spark reassigned SPARK-24235:
Assignee: Apache Spark
> create the top-of-task RDD sending rows to the remote buffer
>
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Cristian Consonni commented on SPARK-24324:
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[~bryanc] said:
> As a workaround, you could write
Jose Torres created SPARK-24386:
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Summary: implement continuous processing coalesce(1)
Key: SPARK-24386
URL: https://issues.apache.org/jira/browse/SPARK-24386
Project: Spark
Issue Type:
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Cristian Consonni commented on SPARK-23929:
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This bug was referenced in [issue
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Lenin commented on SPARK-24383:
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Yes it does have it.
```
apiVersion: v1
kind: Service
metadata:
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Hossein Falaki commented on SPARK-24359:
Thank you guys for feedback. I updated the SPIP and the
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Hossein Falaki updated SPARK-24359:
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Description:
h1. Background and motivation
SparkR supports calling MLlib functionality with
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Hossein Falaki updated SPARK-24359:
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Attachment: SparkML_ ML Pipelines in R-v2.pdf
> SPIP: ML Pipelines in R
>
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Yinan Li commented on SPARK-24383:
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You can use {{kubectl get service -o=yaml}} to get a
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Lenin commented on SPARK-24383:
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I tried to check for that, but couldnt find where to look. I can see in
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Marcelo Vanzin updated SPARK-23754:
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Target Version/s: 2.3.1
Adding target version so it actually shows up in searches...
>
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Marcelo Vanzin reassigned SPARK-14220:
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Assignee: Marcelo Vanzin
> Build and test Spark against Scala 2.12
>
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Marcelo Vanzin reassigned SPARK-14220:
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Assignee: (was: Marcelo Vanzin)
> Build and test Spark against Scala 2.12
>
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Wenbo Zhao commented on SPARK-24373:
I guess we should use `planWithBarrier` in the
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Alex Vayda resolved SPARK-24350.
Resolution: Fixed
> ClassCastException in "array_position" function
>
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Li Jin edited comment on SPARK-24373 at 5/24/18 9:00 PM:
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This is a reproduce:
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Li Jin edited comment on SPARK-24373 at 5/24/18 9:00 PM:
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This is a reproduce:
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Li Jin edited comment on SPARK-24373 at 5/24/18 8:51 PM:
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This is a reproduce:
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Yinan Li commented on SPARK-24383:
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Can you double check if the services have an {{OwnerReference}}
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Jiang Xingbo commented on SPARK-24375:
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We proposal to add new RDDBarrier and BarrierTaskContext to
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Li Jin commented on SPARK-24324:
This is a dup of https://issues.apache.org/jira/browse/SPARK-23929, I am
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Jose Torres edited comment on SPARK-24036 at 5/24/18 8:23 PM:
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I've been
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Jose Torres edited comment on SPARK-24036 at 5/24/18 8:22 PM:
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I've been
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Jose Torres commented on SPARK-24036:
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That's out of scope - the shuffle reader and writer work in
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Arun Mahadevan commented on SPARK-24036:
If I understand correctly, continuous job would have a
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Shixiong Zhu resolved SPARK-24332.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21382
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Lenin commented on SPARK-24383:
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its not something i observed. I had a lots of dangling services.
> spark
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Jose Torres commented on SPARK-23416:
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Do you know how to drive that? I'm not sure what the process
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Apache Spark reassigned SPARK-24324:
Assignee: Apache Spark
> Pandas Grouped Map UserDefinedFunction mixes column labels
>
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Apache Spark commented on SPARK-24324:
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User 'BryanCutler' has created a pull request for this
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Apache Spark reassigned SPARK-24324:
Assignee: (was: Apache Spark)
> Pandas Grouped Map UserDefinedFunction mixes column
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Jose Torres commented on SPARK-24036:
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I've been notified of
Daniel Shields created SPARK-24385:
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Summary: Trivially-true EqualNullSafe should be handled like
EqualTo in Dataset.join
Key: SPARK-24385
URL: https://issues.apache.org/jira/browse/SPARK-24385
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Bryan Cutler updated SPARK-24324:
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Summary: Pandas Grouped Map UserDefinedFunction mixes column labels (was:
UserDefinedFunction
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Yinan Li commented on SPARK-24383:
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The Kubernetes specific submission client adds an {{OwnerReference}}
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Misha Dmitriev updated SPARK-24356:
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Attachment: SPARK-24356.01.patch
> Duplicate strings in File.path managed by
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Hyukjin Kwon edited comment on SPARK-24358 at 5/24/18 6:31 PM:
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Yea, I know
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Hyukjin Kwon commented on SPARK-24358:
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Yea, I know the differences and I know the rationale here.
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Wenbo Zhao commented on SPARK-24373:
It is not apparently to me that they are the same issue though
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Bryan Cutler commented on SPARK-24324:
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I was able to reproduce, the problem is that when pyspark
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Apache Spark commented on SPARK-24384:
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User 'HyukjinKwon' has created a pull request for this
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Apache Spark reassigned SPARK-24384:
Assignee: (was: Apache Spark)
> spark-submit --py-files with .py files doesn't work
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Apache Spark reassigned SPARK-24384:
Assignee: Apache Spark
> spark-submit --py-files with .py files doesn't work in client
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Joel Croteau commented on SPARK-24358:
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This does mean that the current implementation has some
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Hyukjin Kwon updated SPARK-24384:
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Component/s: Spark Submit
> spark-submit --py-files with .py files doesn't work in client mode
Hyukjin Kwon created SPARK-24384:
Summary: spark-submit --py-files with .py files doesn't work in
client mode before context initialization
Key: SPARK-24384
URL: https://issues.apache.org/jira/browse/SPARK-24384
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Hyukjin Kwon updated SPARK-23754:
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Priority: Blocker (was: Major)
> StopIterator exception in Python UDF results in partial result
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Imran Rashid commented on SPARK-24356:
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cc [~jinxing6...@126.com] [~elu] [~felixcheung] -- this
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Hyukjin Kwon commented on SPARK-21945:
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For another clarification, the launch execution codepath is
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Marcelo Vanzin commented on SPARK-24373:
This could be the same as SPARK-23309.
> "df.cache()
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Marcelo Vanzin commented on SPARK-23309:
[~kiszk] SPARK-24373 has some code.
> Spark 2.3 cached
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Marcelo Vanzin commented on SPARK-24372:
I'm keeping the current version of the scripts here
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Hyukjin Kwon edited comment on SPARK-21945 at 5/24/18 4:50 PM:
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To be more
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Hyukjin Kwon commented on SPARK-21945:
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Just for clarification, zip file works fine because the
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Hyukjin Kwon commented on SPARK-21945:
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To be more correct, the paths are added as are given my
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Marcelo Vanzin commented on SPARK-21945:
It happens because the import happens before the context
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Xiangrui Meng commented on SPARK-24374:
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[~galv] Thanks for your feedback!
* SPARK-20327 allows
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Xiao Li updated SPARK-20712:
Target Version/s: 2.4.0
> [SPARK 2.1 REGRESSION][SQL] Spark can't read Hive table when column type has
>
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Hyukjin Kwon updated SPARK-24378:
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Flags: (was: Important)
> Incorrect examples for date_trunc function in spark 2.3.0
>
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Hyukjin Kwon updated SPARK-24378:
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Priority: Trivial (was: Major)
> Incorrect examples for date_trunc function in spark 2.3.0
>
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Hyukjin Kwon updated SPARK-24378:
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Issue Type: Documentation (was: Bug)
> Incorrect examples for date_trunc function in spark
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Hyukjin Kwon resolved SPARK-24378.
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Resolution: Fixed
Fix Version/s: 2.4.0
2.3.1
Fixed in
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Hyukjin Kwon reassigned SPARK-24378:
Assignee: Yuming Wang
> Incorrect examples for date_trunc function in spark 2.3.0
>
Lenin created SPARK-24383:
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Summary: spark on k8s: "driver-svc" are not getting deleted
Key: SPARK-24383
URL: https://issues.apache.org/jira/browse/SPARK-24383
Project: Spark
Issue Type: Improvement
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Apache Spark commented on SPARK-24381:
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User 'mgyucht' has created a pull request for this issue:
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Apache Spark reassigned SPARK-24381:
Assignee: (was: Apache Spark)
> Improve Unit Test Coverage of NOT IN subqueries
>
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Apache Spark reassigned SPARK-24381:
Assignee: Apache Spark
> Improve Unit Test Coverage of NOT IN subqueries
>
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Trevor McKay edited comment on SPARK-24091 at 5/24/18 3:39 PM:
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I had a
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Trevor McKay edited comment on SPARK-24091 at 5/24/18 3:38 PM:
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I had a
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Hyukjin Kwon updated SPARK-24378:
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Target Version/s: (was: 2.3.0)
> Incorrect examples for date_trunc function in spark 2.3.0
>
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Wenbo Zhao edited comment on SPARK-24373 at 5/24/18 3:37 PM:
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I turned on the
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Hyukjin Kwon updated SPARK-24378:
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Fix Version/s: (was: 2.3.0)
> Incorrect examples for date_trunc function in spark 2.3.0
>
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Wenbo Zhao commented on SPARK-24373:
I turned on the log trace of RuleExecutor and found that in my
Karthik created SPARK-24382:
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Summary: Spark Structured Streaming aggregation on old timestamp
data
Key: SPARK-24382
URL: https://issues.apache.org/jira/browse/SPARK-24382
Project: Spark
Issue
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Trevor McKay commented on SPARK-24091:
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I had a similar situation in a project.
One way to handle
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Jorge Machado edited comment on SPARK-17592 at 5/24/18 3:11 PM:
I'm
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Jorge Machado updated SPARK-17592:
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Attachment: image-2018-05-24-17-10-24-515.png
> SQL: CAST string as INT inconsistent with Hive
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Jorge Machado commented on SPARK-17592:
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I'm hitting the same issue I'm afraid but in slightly
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https://issues.apache.org/jira/browse/SPARK-24373?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16489129#comment-16489129
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Andreas Weise commented on SPARK-24373:
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We are also facing increased runtime duration for our SQL
Miles Yucht created SPARK-24381:
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Summary: Improve Unit Test Coverage of NOT IN subqueries
Key: SPARK-24381
URL: https://issues.apache.org/jira/browse/SPARK-24381
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-24329?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16489100#comment-16489100
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Hyukjin Kwon commented on SPARK-24329:
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Fixed by explicitly adding a test where the code is valid.
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Hyukjin Kwon resolved SPARK-24329.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21394
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https://issues.apache.org/jira/browse/SPARK-24329?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon reassigned SPARK-24329:
Assignee: Maxim Gekk
> Remove comments filtering before parsing of CSV files
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https://issues.apache.org/jira/browse/SPARK-24373?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16489060#comment-16489060
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Li Jin commented on SPARK-24373:
This is a reproduce in unit test:
{code:java}
test("cache and count") {
paul mackles created SPARK-24380:
Summary: argument quoting/escaping broken
Key: SPARK-24380
URL: https://issues.apache.org/jira/browse/SPARK-24380
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-24380?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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paul mackles updated SPARK-24380:
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Summary: argument quoting/escaping broken in mesos cluster scheduler (was:
argument
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https://issues.apache.org/jira/browse/SPARK-24230?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-24230.
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Resolution: Fixed
Assignee: Ryan Blue
Fix Version/s: 2.4.0
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https://issues.apache.org/jira/browse/SPARK-24379?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24379:
Assignee: (was: Apache Spark)
> BroadcastExchangeExec should catch SparkOutOfMemory
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https://issues.apache.org/jira/browse/SPARK-24379?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16488860#comment-16488860
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Apache Spark commented on SPARK-24379:
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User 'jinxing64' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-24379?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24379:
Assignee: Apache Spark
> BroadcastExchangeExec should catch SparkOutOfMemory and re-throw
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https://issues.apache.org/jira/browse/SPARK-24378?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16488850#comment-16488850
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Apache Spark commented on SPARK-24378:
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User 'wangyum' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-24378?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24378:
Assignee: Apache Spark
> Incorrect examples for date_trunc function in spark 2.3.0
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