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Apache Spark reassigned SPARK-13296:
Assignee: Reynold Xin (was: Apache Spark)
> Move UserDefinedFunction into
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Apache Spark reassigned SPARK-13296:
Assignee: Apache Spark (was: Reynold Xin)
> Move UserDefinedFunction into
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Apache Spark commented on SPARK-13296:
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User 'rxin' has created a pull request for this issue:
Lucas Woltmann created SPARK-13298:
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Summary: DAG visualization does not render correctly for jobs
Key: SPARK-13298
URL: https://issues.apache.org/jira/browse/SPARK-13298
Project: Spark
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Sean Owen commented on SPARK-13289:
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THere isn't enough info to reproduce anything here. We don't have
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Sean Owen resolved SPARK-13290.
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Resolution: Invalid
I don't think this is actionable. "Slow" relative to what? slow reading can be
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Xiangrui Meng updated SPARK-12974:
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Fix Version/s: 2.0.0
> Add Python API for spark.ml bisecting k-means
>
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Xiangrui Meng updated SPARK-12974:
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Assignee: Yanbo Liang
> Add Python API for spark.ml bisecting k-means
>
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Xiangrui Meng resolved SPARK-12974.
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Resolution: Fixed
> Add Python API for spark.ml bisecting k-means
>
Grzegorz Chilkiewicz created SPARK-13297:
Summary: [SQL] Backticks cannot be escaped in column names
Key: SPARK-13297
URL: https://issues.apache.org/jira/browse/SPARK-13297
Project: Spark
Reynold Xin created SPARK-13296:
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Summary: Move UserDefinedFunction into sql.expressions package
Key: SPARK-13296
URL: https://issues.apache.org/jira/browse/SPARK-13296
Project: Spark
Issue
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Yanbo Liang commented on SPARK-8000:
[~hyukjin.kwon] I'm not working on this issue now, please feel
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Xiangrui Meng updated SPARK-13154:
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Assignee: holdenk
> Add pydoc lint for docs
> ---
>
> Key:
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Xiangrui Meng updated SPARK-13154:
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Target Version/s: 2.0.0
> Add pydoc lint for docs
> ---
>
>
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Xiangrui Meng resolved SPARK-13154.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11109
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Sean Owen commented on SPARK-13286:
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Agree it would be better, though I don't see a good clean way to
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Apache Spark reassigned SPARK-13172:
Assignee: (was: Apache Spark)
> Stop using RichException.getStackTrace it is
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Steve Loughran commented on SPARK-5925:
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I think this should be fixed by SPARK-7889; linking to it.
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Nazarii Balkovskyi updated SPARK-13299:
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Attachment: SparkLimitIssue.png
> DataFrame limit operation is not consistent
>
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Apache Spark commented on SPARK-13172:
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User 'srowen' has created a pull request for this issue:
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Apache Spark reassigned SPARK-13172:
Assignee: Apache Spark
> Stop using RichException.getStackTrace it is deprecated
>
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Nazarii Balkovskyi updated SPARK-13299:
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Description:
I faced to a problem with using limit method from DataFrame API.
I try
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Nazarii Balkovskyi updated SPARK-13299:
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Description:
I faced to a problem with using limit method from DataFrame API.
I try
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Fabiano Francesconi commented on SPARK-12583:
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+1
is there a follow-up on this issue? Looks
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Sean Owen resolved SPARK-13299.
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Resolution: Not A Problem
Unless your DataFrame has a defined ordering, I don't think you'd expect
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Sean Owen commented on SPARK-13287:
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What's in the second output, an error?
> Standalone REST API
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Sean Owen commented on SPARK-13288:
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Why do you think this is a leak though? what's leaking?
> [1.6.0]
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Hari Krishna Dara commented on SPARK-12646:
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Sorry for the delay in getting back, but I had to
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Sean Owen updated SPARK-13294:
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Component/s: Build
> Don't build assembly in dev/run-tests
> -
>
>
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Nazarii Balkovskyi updated SPARK-13299:
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Description:
I faced to a problem with using limit method from DataFrame API.
I try
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https://issues.apache.org/jira/browse/SPARK-13299?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nazarii Balkovskyi updated SPARK-13299:
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Description:
I faced to a problem with using limit method from DataFrame API.
I try
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Adrian Bridgett commented on SPARK-12583:
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Phew - thought maybe it was a bit odd no-one else had
stefan created SPARK-13300:
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Summary: Spark examples page gives errors : Liquid error: pygments
Key: SPARK-13300
URL: https://issues.apache.org/jira/browse/SPARK-13300
Project: Spark
Issue Type:
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Sean Owen commented on SPARK-13300:
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Hm, I see that on all browsers on OS X too.
I wonder if this is
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mathieu longtin reopened SPARK-13290:
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Slow relative to reading the exact same file on a local disk on the same
machine. Python
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Qi Dai commented on SPARK-13289:
I'm using the "One Billion Words Language Modeling" dataset available
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stefan commented on SPARK-13300:
jekyll has never been installed on this machine. is it needed to render
Simone created SPARK-13301:
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Summary: PySpark Dataframe return wrong results with custom UDF
Key: SPARK-13301
URL: https://issues.apache.org/jira/browse/SPARK-13301
Project: Spark
Issue Type: Bug
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Lucas Woltmann updated SPARK-13298:
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Attachment: dag_viz.png
> DAG visualization does not render correctly for jobs
>
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Christopher Bourez commented on SPARK-12261:
Sean Owen, do you reconsider the status as a
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Christopher Bourez commented on SPARK-12261:
Here is what i see when i activate the logs :
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Sean Owen commented on SPARK-12261:
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This is still just the driver log.
> pyspark crash for large
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Christopher Bourez commented on SPARK-12261:
Sean, how can I get the executor log in local
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Davies Liu resolved SPARK-12705.
Resolution: Fixed
Issue resolved by pull request 11153
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Sean Owen commented on SPARK-12261:
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The change above is definitely not correct in general, right? it's
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Sean Owen resolved SPARK-13290.
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Resolution: Not A Problem
Yes, just reading a file length locally is going to be much much faster
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Sean Owen closed SPARK-13290.
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> wholeTextFile and binaryFiles are really slow
> -
>
>
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Christopher Bourez commented on SPARK-12261:
Dear Niall
Your solution works very well :)
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stefan commented on SPARK-13300:
Happening on Windows 7 now. Chrome. Internet Explorer 11.
> Spark
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Simone updated SPARK-13301:
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Description:
Using a User Defined Function in PySpark inside the withColumn() method of
Dataframe, gives
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https://issues.apache.org/jira/browse/SPARK-13301?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Simone updated SPARK-13301:
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Environment: PySpark in yarn-client mode - CDH 5.5.1 (was: PySpark - CDH
5.5.1)
> PySpark Dataframe return
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Sean Owen commented on SPARK-13300:
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Yes, it's irrelevant -- you can see this in the source HTML as
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Niall McCarroll commented on SPARK-12261:
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As a workaround you might try the following change to
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Niall McCarroll edited comment on SPARK-12261 at 2/12/16 3:53 PM:
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As a
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Simone updated SPARK-13301:
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Description:
Using a User Defined Function in PySpark inside the withColumn() method of
Dataframe, gives
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https://issues.apache.org/jira/browse/SPARK-13301?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Simone updated SPARK-13301:
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Description:
Using a User Defined Function in PySpark inside the withColumn() method of
Dataframe, gives
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https://issues.apache.org/jira/browse/SPARK-13301?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Simone updated SPARK-13301:
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Description:
Using a User Defined Function in PySpark inside the withColumn() method of
Dataframe, gives
holdenk created SPARK-13302:
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Summary: Cleanup Docstests in ml/clustering.py
Key: SPARK-13302
URL: https://issues.apache.org/jira/browse/SPARK-13302
Project: Spark
Issue Type: Test
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Sean Owen commented on SPARK-13303:
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Agree, I think this is one of those big "known issues", that
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Reynold Xin resolved SPARK-13282.
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Resolution: Fixed
Fix Version/s: 2.0.0
> LogicalPlan toSql should just return a String
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Josh Rosen commented on SPARK-12251:
It's off by default; the 1.6.0 documentation was wrong and this
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Rares Vernica commented on SPARK-13287:
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See the description:
{quote}
The response from the second
Juliet Hougland created SPARK-13303:
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Summary: Spark fails with pandas import error when pandas is not
explicitly imported by user
Key: SPARK-13303
URL: https://issues.apache.org/jira/browse/SPARK-13303
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Apache Spark commented on SPARK-12630:
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User 'BryanCutler' has created a pull request for this
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Ovidiu Marcu commented on SPARK-12251:
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Reading though the latest documentation for Memory
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Niall McCarroll commented on SPARK-12261:
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In various windows environments I've tried, I see
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Apache Spark commented on SPARK-10777:
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User 'kevinyu98' has created a pull request for this issue:
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Apache Spark reassigned SPARK-13253:
Assignee: Apache Spark
> Error aliasing array columns.
> -
>
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Apache Spark commented on SPARK-13253:
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User 'kevinyu98' has created a pull request for this issue:
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Hemang Nagar commented on SPARK-12917:
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Yes it is a transaction table feature, and since Hive
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Apache Spark reassigned SPARK-13253:
Assignee: (was: Apache Spark)
> Error aliasing array columns.
>
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JESSE CHEN commented on SPARK-13288:
Maybe "heap exhaustion" a better term to call this.
jstat
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JESSE CHEN commented on SPARK-13288:
I have the heapdumps from 1.5 and 1.6. They are large so let me
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Xiu (Joe) Guo commented on SPARK-13301:
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Hi Simone:
How long is the string length for each row in
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Reynold Xin resolved SPARK-13260.
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Resolution: Fixed
Assignee: Hyukjin Kwon
Fix Version/s: 2.0.0
> count(*) does
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Apache Spark commented on SPARK-12632:
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User 'BryanCutler' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-6763?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin closed SPARK-6763.
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Resolution: Duplicate
Assignee: Reynold Xin (was: Liang-Chi Hsieh)
Fix Version/s: 2.0.0
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Reynold Xin updated SPARK-12772:
Summary: Better error message for syntax error in the SQL parser (was:
Better error message for
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Reynold Xin updated SPARK-12772:
Comment: was deleted
(was: cc [~hvanhovell] / [~viirya] any idea about this one?
)
> Better
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Reynold Xin updated SPARK-12772:
Summary: Better error message for syntax error in the parser (was: Better
error message for
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Apache Spark reassigned SPARK-13300:
Assignee: (was: Apache Spark)
> Spark examples page gives errors : Liquid error:
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Apache Spark commented on SPARK-13300:
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User 'amitdev' has created a pull request for this issue:
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Apache Spark reassigned SPARK-13300:
Assignee: Apache Spark
> Spark examples page gives errors : Liquid error: pygments
>
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Xiao Li commented on SPARK-13307:
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Please use explain(true). It will be much easier to analyze when
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Xiao Li updated SPARK-13307:
Labels: (was: spark, sql,)
> TPCDS query 66 degraded by 30% in 1.6.0 compared to 1.4.1
>
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Apache Spark commented on SPARK-13080:
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User 'andrewor14' has created a pull request for this issue:
Jacek Laskowski created SPARK-13305:
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Summary: With SPARK_WORKER_WEBUI_PORT and --webui-port set for
start-slave.sh script, --webui-port is used twice
Key: SPARK-13305
URL:
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https://issues.apache.org/jira/browse/SPARK-5095?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15145239#comment-15145239
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Apache Spark commented on SPARK-5095:
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User 'mgummelt' has created a pull request for this issue:
Davies Liu created SPARK-13304:
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Summary: Broadcast join with two ints could be very slow
Key: SPARK-13304
URL: https://issues.apache.org/jira/browse/SPARK-13304
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-13306?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-13306:
Assignee: Apache Spark (was: Davies Liu)
> Uncorrelated scalar subquery
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https://issues.apache.org/jira/browse/SPARK-13306?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-13306:
Assignee: Davies Liu (was: Apache Spark)
> Uncorrelated scalar subquery
>
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https://issues.apache.org/jira/browse/SPARK-12630?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-12630.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11183
Davies Liu created SPARK-13306:
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Summary: Uncorrelated scalar subquery
Key: SPARK-13306
URL: https://issues.apache.org/jira/browse/SPARK-13306
Project: Spark
Issue Type: New Feature
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https://issues.apache.org/jira/browse/SPARK-13306?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15145476#comment-15145476
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Apache Spark commented on SPARK-13306:
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User 'davies' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-12917?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15145479#comment-15145479
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Herman van Hovell commented on SPARK-12917:
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It is currently not planned, and will require
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https://issues.apache.org/jira/browse/SPARK-13287?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15145254#comment-15145254
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Sean Owen commented on SPARK-13287:
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Yeah, I was guessing/hoping that wasn't quite right, and that the
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https://issues.apache.org/jira/browse/SPARK-12962?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-12962.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 10876
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https://issues.apache.org/jira/browse/SPARK-12544?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-12544.
Resolution: Fixed
Assignee: Herman van Hovell
Fix Version/s: 2.0.0
Since we
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https://issues.apache.org/jira/browse/SPARK-12544?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15145467#comment-15145467
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Herman van Hovell commented on SPARK-12544:
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[~davies] No, they only require a SQLContext.
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https://issues.apache.org/jira/browse/SPARK-13304?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-13304:
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Component/s: SQL
> Broadcast join with two ints could be very slow
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