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Apache Spark reassigned SPARK-18395:
Assignee: Apache Spark
> Evaluate common subexpression like lazy variable with a function
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Apache Spark reassigned SPARK-18395:
Assignee: (was: Apache Spark)
> Evaluate common subexpression like lazy variable with
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Apache Spark commented on SPARK-18395:
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User 'viirya' has created a pull request for this issue:
Liang-Chi Hsieh created SPARK-18395:
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Summary: Evaluate common subexpression like lazy variable with a
function approach
Key: SPARK-18395
URL: https://issues.apache.org/jira/browse/SPARK-18395
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Assaf Mendelson commented on SPARK-17691:
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While you can use mutable buffers with the aggregator
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Wenchen Fan closed SPARK-18048.
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Resolution: Invalid
> If expression behaves differently if true and false expression are
>
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Wenchen Fan edited comment on SPARK-18048 at 11/10/16 7:45 AM:
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according
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Wenchen Fan commented on SPARK-18048:
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according to the discussion in the PR, this ticket is invalid,
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Wenchen Fan commented on SPARK-18050:
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can you put the stacktrace here too?
> spark 2.0.1 enable
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fanlu commented on SPARK-14450:
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Why scala version does not need to use parallelization
> Python OneVsRest
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Wenchen Fan commented on SPARK-18064:
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since this ticket has no description and the reporter has no
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Wenchen Fan closed SPARK-18064.
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Resolution: Invalid
> Spark SQL can't load default config file
>
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Wenchen Fan commented on SPARK-18168:
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it's already reverted right?
> Revert the change of
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Wenchen Fan commented on SPARK-18220:
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Is it an external orc file or written by Spark SQL?
>
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Dongjoon Hyun commented on SPARK-16628:
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Hi, is there any progress on this issue?
> OrcConversions
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Dongjoon Hyun closed SPARK-12998.
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Resolution: Duplicate
Hi, [~rajesh.balamohan].
I'll close this issue since the PR is closed and
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Wenchen Fan closed SPARK-18271.
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Resolution: Won't Fix
> hash udf in HiveSessionCatalog.hiveFunctions seq is redundant
>
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Wenchen Fan closed SPARK-18344.
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Resolution: Duplicate
> TRUNCATE TABLE should fail if no partition is matched for the given
>
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Wenchen Fan updated SPARK-18075:
Component/s: SQL
> UDF doesn't work on non-local spark
> ---
>
>
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Wenchen Fan updated SPARK-18075:
Labels: (was: sql)
> UDF doesn't work on non-local spark
> ---
>
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Wenchen Fan updated SPARK-18172:
Component/s: SQL
> AnalysisException in first/last during aggregation
>
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Wenchen Fan updated SPARK-18075:
Labels: sql (was: )
> UDF doesn't work on non-local spark
> ---
>
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Wenchen Fan resolved SPARK-18147.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 15807
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Wenchen Fan updated SPARK-18147:
Assignee: Liang-Chi Hsieh
> Broken Spark SQL Codegen
>
>
>
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Xiao Li edited comment on SPARK-18389 at 11/10/16 4:36 AM:
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The above example
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Xiao Li commented on SPARK-18389:
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This should be fixed now. Let me submit a PR for it.
> Disallow
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Xiao Li commented on SPARK-18389:
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If we do not allow cyclic view reference, we need to detect it in
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Nicholas Chammas commented on SPARK-18367:
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Even if I cut the number of records I'm processing
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Nicholas Chammas edited comment on SPARK-18367 at 11/10/16 3:24 AM:
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Nicholas Chammas commented on SPARK-18367:
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To provide some context, this code base I'm
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Yanbo Liang reassigned SPARK-18318:
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Assignee: Yanbo Liang
> ML, Graph 2.1 QA: API: New Scala APIs, docs
>
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Michael Armbrust commented on SPARK-17691:
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I think that should be able to use mutable buffers
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Reynold Xin closed SPARK-18391.
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Resolution: Not A Problem
> Openstack deployment scenarios
> --
>
>
Jonny Serencsa created SPARK-18394:
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Summary: Executing the same query twice in a row results in
CodeGenerator cache misses
Key: SPARK-18394
URL: https://issues.apache.org/jira/browse/SPARK-18394
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Jason Pan commented on SPARK-18353:
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No matter what the default value is at last, I think we need a
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Jason Pan commented on SPARK-18353:
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append the summit command:
spark-submit --class
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Jason Pan commented on SPARK-18353:
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Hi Sean.
I was using "--conf" to set the parameter when summit.
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Jason Pan updated SPARK-18353:
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Comment: was deleted
(was: Hi Sean.
--conf also didn't make it work.
Thanks.)
>
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Jason Pan commented on SPARK-18353:
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Hi Sean.
--conf also didn't make it work.
Thanks.
>
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Luke Miner resolved SPARK-18343.
Resolution: Not A Bug
This was due to some clash in versions between the libraries I was using.
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Luke Miner commented on SPARK-18343:
Updating some of those libraries to their latest versions fixed
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Luke Miner updated SPARK-18343:
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Comment: was deleted
(was: Any suggestions on how one might hunt down that library? I've included my
Eric Liang created SPARK-18393:
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Summary: DataFrame pivot output column names should respect aliases
Key: SPARK-18393
URL: https://issues.apache.org/jira/browse/SPARK-18393
Project: Spark
Issue
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Joseph K. Bradley commented on SPARK-18392:
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There are a few items still being discussed:
*
Joseph K. Bradley created SPARK-18392:
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Summary: LSH API, algorithm, and documentation follow-ups
Key: SPARK-18392
URL: https://issues.apache.org/jira/browse/SPARK-18392
Project: Spark
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Eric Liang commented on SPARK-17916:
In our case, a user wants the empty string (whether actually
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Nicholas Chammas commented on SPARK-18367:
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I've spent the day trying to narrow down what is
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Apache Spark reassigned SPARK-18391:
Assignee: Apache Spark
> Openstack deployment scenarios
> --
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Apache Spark commented on SPARK-18391:
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User 'al-indigo' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18391:
Assignee: (was: Apache Spark)
> Openstack deployment scenarios
>
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Oleg Borisenko commented on SPARK-18391:
https://github.com/apache/spark/pull/15836
> Openstack
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Xiangrui Meng commented on SPARK-18390:
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This is a bug because the user didn't ask a cartesian
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Xiangrui Meng resolved SPARK-18390.
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Resolution: Duplicate
> Optimized plan tried to use Cartesian join when it is not enabled
>
Oleg Borisenko created SPARK-18391:
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Summary: Openstack deployment scenarios
Key: SPARK-18391
URL: https://issues.apache.org/jira/browse/SPARK-18391
Project: Spark
Issue Type: Improvement
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Shixiong Zhu resolved SPARK-17829.
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Resolution: Fixed
> Stable format for offset log
>
>
>
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Shixiong Zhu updated SPARK-17829:
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Fix Version/s: 2.1.0
> Stable format for offset log
>
>
>
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Marcelo Vanzin commented on SPARK-12333:
{{blockManager.getDiskWriter}} uses the block manager's
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Krish Dey commented on SPARK-12333:
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The constructor still seems to be the same as it is. Doesn't this
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Krish Dey edited comment on SPARK-5682 at 11/9/16 10:29 PM:
The constructor
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Krish Dey commented on SPARK-5682:
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The method still seems to be the same as it is. Doesn't this to be
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Cheng Lian commented on SPARK-18390:
I think this issue has already been fixed by SPARK-17298 and
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Herman van Hovell commented on SPARK-18388:
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Could you try this on master? We added an
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Michael Armbrust updated SPARK-18388:
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Component/s: (was: Spark Core)
SQL
> Running aggregation on many
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Sean Owen commented on SPARK-18374:
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It's a fair point indeed, because it would be much better to omit
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Apache Spark commented on SPARK-17059:
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User 'pwoody' has created a pull request for this issue:
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Nattavut Sutyanyong edited comment on SPARK-18389 at 11/9/16 9:10 PM:
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Nattavut Sutyanyong commented on SPARK-18389:
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In CREATE VIEW, if we will check that the
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Herman van Hovell commented on SPARK-18390:
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I don't think this is a bug. It is doing exactly
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Philip Adetiloye commented on SPARK-18363:
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I logged a similar Issue with the graphframe but the
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Srinath commented on SPARK-18390:
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FYI, these are in branch 2.1
{noformat}
commit
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Reynold Xin resolved SPARK-18370.
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Resolution: Fixed
Fix Version/s: 2.1.0
> InsertIntoHadoopFsRelationCommand should keep
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Herman van Hovell commented on SPARK-18390:
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[~vssrinath] Can you take a look?
> Optimized
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Herman van Hovell updated SPARK-18390:
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Assignee: Srinath
> Optimized plan tried to use Cartesian join when it is not enabled
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Luke Miner commented on SPARK-18343:
Any suggestions on how one might hunt down that library? I've
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Yin Huai commented on SPARK-18390:
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Can you do a explain?
> Optimized plan tried to use Cartesian join
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Reynold Xin updated SPARK-18387:
Target Version/s: 2.0.3, 2.1.0 (was: 2.1.0)
> Test that expressions can be serialized
>
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Reynold Xin updated SPARK-18387:
Target Version/s: 2.1.0
Priority: Blocker (was: Major)
> Test that expressions can be
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Nattavut Sutyanyong commented on SPARK-18389:
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Yes. CREATE/ALTER is not the place where we
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Reynold Xin edited comment on SPARK-18389 at 11/9/16 7:51 PM:
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It'd make
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Reynold Xin commented on SPARK-18389:
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It'd make more sense to do this check during the command
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Cheng Lian updated SPARK-18390:
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Description:
{code}
val df2 = spark.range(1e9.toInt).withColumn("one", lit(1))
val df3 =
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Xiangrui Meng updated SPARK-18390:
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Description:
I hit this error when I tried to test skewed joins.
{code}
val df2 =
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Xiangrui Meng updated SPARK-18390:
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Description:
I hit this error when I tried to test skewed joins.
{code}
val df2 =
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Xiangrui Meng commented on SPARK-18390:
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cc: [~yhuai] [~lian cheng]
> Optimized plan tried to use
Xiangrui Meng created SPARK-18390:
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Summary: Optimized plan tried to use Cartesian join when it is not
enabled
Key: SPARK-18390
URL: https://issues.apache.org/jira/browse/SPARK-18390
Project: Spark
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Xiao Li commented on SPARK-18389:
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Are you saying we do not need to detect it at `CREATE VIEW` and `ALTER
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https://issues.apache.org/jira/browse/SPARK-18336?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Egor Pahomov closed SPARK-18336.
Resolution: Invalid
Moving from 1.6 to 2.0 forced me use spark-submit instead of using spark
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https://issues.apache.org/jira/browse/SPARK-18389?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15651834#comment-15651834
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Xiao Li commented on SPARK-18389:
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Are you saying we do not need to detect it at `CREATE VIEW` and `ALTER
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https://issues.apache.org/jira/browse/SPARK-18389?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li updated SPARK-18389:
Comment: was deleted
(was: Are you saying we do not need to detect it at `CREATE VIEW` and `ALTER
VIEW`?)
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https://issues.apache.org/jira/browse/SPARK-18211?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust reassigned SPARK-18211:
Assignee: Michael Armbrust
> Spark SQL ignores split.size
>
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https://issues.apache.org/jira/browse/SPARK-18211?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-18211.
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Resolution: Not A Problem
As of Spark 2.0 we do our own splitting/bin-packing of files
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https://issues.apache.org/jira/browse/SPARK-18389?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15651816#comment-15651816
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Nattavut Sutyanyong commented on SPARK-18389:
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The ALTER VIEW should run successfully keeping
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https://issues.apache.org/jira/browse/SPARK-18131?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15651811#comment-15651811
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Felix Cheung commented on SPARK-18131:
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I think it's good to have a wrapper, but as you say we
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https://issues.apache.org/jira/browse/SPARK-9487?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15651806#comment-15651806
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Saikat Kanjilal edited comment on SPARK-9487 at 11/9/16 7:22 PM:
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Ok , for
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https://issues.apache.org/jira/browse/SPARK-10816?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-10816:
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Target Version/s: (was: 2.2.0)
> EventTime based sessionization
>
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Saikat Kanjilal commented on SPARK-9487:
Ok , for some odd reason my local branch had the changes
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https://issues.apache.org/jira/browse/SPARK-18353?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15651807#comment-15651807
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Sean Owen commented on SPARK-18353:
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BTW [~JasonPan] it looks like you're setting JVM props, and not
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https://issues.apache.org/jira/browse/SPARK-18209?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15651798#comment-15651798
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Reynold Xin commented on SPARK-18209:
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Here is a ticket
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https://issues.apache.org/jira/browse/SPARK-18388?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Raviteja Lokineni updated SPARK-18388:
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Description:
Usecase: I am generating weekly aggregates of every column of data
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https://issues.apache.org/jira/browse/SPARK-18332?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15651801#comment-15651801
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Joseph K. Bradley commented on SPARK-18332:
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I like splitting apart programming guide updates
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