Reynold Xin created SPARK-17651:
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Summary: Automate Spark version update for documentations
Key: SPARK-17651
URL: https://issues.apache.org/jira/browse/SPARK-17651
Project: Spark
Issue Type:
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Apache Spark commented on SPARK-17651:
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User 'shivaram' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17651:
Assignee: (was: Apache Spark)
> Automate Spark version update for documentations
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Apache Spark reassigned SPARK-17651:
Assignee: Apache Spark
> Automate Spark version update for documentations
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Reynold Xin resolved SPARK-17651.
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Resolution: Fixed
Assignee: Shivaram Venkataraman
Fix Version/s: 2.1.0
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Michael McCarthy edited comment on SPARK-10713 at 9/23/16 9:48 PM:
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I'm
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Apache Spark reassigned SPARK-17652:
Assignee: (was: Apache Spark)
> Fix confusing exception message while reserving
Kent Yao created SPARK-17655:
Summary: [SQL]Remove unused variables declarations and definations
in a WholeStageCodeGened stage
Key: SPARK-17655
URL: https://issues.apache.org/jira/browse/SPARK-17655
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Apache Spark reassigned SPARK-17655:
Assignee: Apache Spark
> [SQL]Remove unused variables declarations and definations in a
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Apache Spark reassigned SPARK-17654:
Assignee: Apache Spark
> Propagate bucketing information for Hive tables to / from
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Josh Rosen commented on SPARK-17647:
I think that the first case is clearly a bug (and have a fix)
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Apache Spark reassigned SPARK-17650:
Assignee: (was: Apache Spark)
> Adding a malformed URL to sc.addJar and/or sc.addFile
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Apache Spark commented on SPARK-17650:
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User 'brkyvz' has created a pull request for this issue:
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Josh Rosen edited comment on SPARK-17647 at 9/23/16 9:52 PM:
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Another piece
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Shixiong Zhu updated SPARK-15703:
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Fix Version/s: 2.0.2
> Make ListenerBus event queue size configurable
>
Sameer Agarwal created SPARK-17652:
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Summary: Fix confusing exception message while reserving capacity
Key: SPARK-17652
URL: https://issues.apache.org/jira/browse/SPARK-17652
Project: Spark
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Apache Spark commented on SPARK-17649:
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User 'zsxwing' has created a pull request for this issue:
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Josh Rosen commented on SPARK-17647:
Another piece of evidence to help untangle this:
In MySQL,
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Apache Spark commented on SPARK-17652:
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User 'sameeragarwal' has created a pull request for this
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Apache Spark reassigned SPARK-17652:
Assignee: Apache Spark
> Fix confusing exception message while reserving capacity
>
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Kent Yao updated SPARK-17655:
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Summary: Remove unused variables declarations and definations in a
WholeStageCodeGened stage (was:
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Apache Spark commented on SPARK-17655:
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User 'yaooqinn' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17655:
Assignee: (was: Apache Spark)
> [SQL]Remove unused variables declarations and
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Felix Cheung commented on SPARK-17634:
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I see. Do you know if the partitions are evenly distributed
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Felix Cheung commented on SPARK-17634:
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Also it would be great if you have a shareable example to
Tejas Patil created SPARK-17654:
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Summary: Propagate bucketing information for Hive tables to / from
Catalog
Key: SPARK-17654
URL: https://issues.apache.org/jira/browse/SPARK-17654
Project: Spark
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Marcelo Vanzin resolved SPARK-12221.
Resolution: Fixed
Assignee: Jisoo Kim
Fix Version/s: 2.1.0
> Add CPU time
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Apache Spark reassigned SPARK-17650:
Assignee: Apache Spark
> Adding a malformed URL to sc.addJar and/or sc.addFile bricks
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Josh Rosen commented on SPARK-17647:
On the other hand, running
{code}
select '' like '%\\%'
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Reynold Xin updated SPARK-17653:
Description:
Query:
{code}
select 1 a union select 2 b union select 3 c
{code}
Explain plan:
Reynold Xin created SPARK-17653:
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Summary: Optimizer should remove unnecessary distincts (in
multiple unions)
Key: SPARK-17653
URL: https://issues.apache.org/jira/browse/SPARK-17653
Project: Spark
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Apache Spark reassigned SPARK-17654:
Assignee: (was: Apache Spark)
> Propagate bucketing information for Hive tables to /
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Apache Spark commented on SPARK-17654:
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User 'tejasapatil' has created a pull request for this
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Michael McCarthy commented on SPARK-10713:
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I'm also seeing this issue. Executors get lost with
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Apache Spark commented on SPARK-17654:
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User 'tejasapatil' has created a pull request for this
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Hyukjin Kwon edited comment on SPARK-17636 at 9/23/16 6:23 AM:
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Apache Spark commented on SPARK-14709:
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User 'hhbyyh' has created a pull request for this issue:
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Apache Spark reassigned SPARK-14709:
Assignee: (was: Apache Spark)
> spark.ml API for linear SVM
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Apache Spark reassigned SPARK-14709:
Assignee: Apache Spark
> spark.ml API for linear SVM
> ---
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Fei Wang created SPARK-17644:
Summary: The failed stage never resubmitted due to abort stage in
another thread
Key: SPARK-17644
URL: https://issues.apache.org/jira/browse/SPARK-17644
Project: Spark
Peng Meng created SPARK-17645:
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Summary: Add feature selector methods based on: False Discovery
Rate (FDR) and Family Wise Error rate (FWE)
Key: SPARK-17645
URL: https://issues.apache.org/jira/browse/SPARK-17645
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Apache Spark commented on SPARK-17645:
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User 'mpjlu' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17645:
Assignee: (was: Apache Spark)
> Add feature selector methods based on: False
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Seth Hendrickson edited comment on SPARK-17134 at 9/23/16 6:09 AM:
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Seth Hendrickson commented on SPARK-17134:
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This makes sense. In my initial testing I found that
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Apache Spark reassigned SPARK-17644:
Assignee: Apache Spark
> The failed stage never resubmitted due to abort stage in another
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Apache Spark commented on SPARK-17644:
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User 'scwf' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17644:
Assignee: (was: Apache Spark)
> The failed stage never resubmitted due to abort stage
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Hyukjin Kwon commented on SPARK-17636:
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Confirmation from committer -
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Shixiong Zhu resolved SPARK-17640.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.2
> Avoid using -1 as the
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Apache Spark reassigned SPARK-17645:
Assignee: Apache Spark
> Add feature selector methods based on: False Discovery Rate
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Sean Owen commented on SPARK-17646:
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This is not a bug. add does not modify the object but creates a
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Jun commented on SPARK-10878:
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It seems this issue is still active. Is there a good workaround? Does Spark
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Saisai Shao commented on SPARK-17637:
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[~zhanzhang] would you mind sharing more details about your
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Gaurav Shah edited comment on SPARK-17527 at 9/23/16 9:31 AM:
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I am unable
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Sean Owen resolved SPARK-16861.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14467
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Sean Owen updated SPARK-16861:
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Assignee: holdenk
Priority: Minor (was: Major)
> Refactor PySpark accumulator API to be on top of
Pawel Skorupinski created SPARK-17646:
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Summary: SparkType::add method does not work in 2.0.0 (in Java)
Key: SPARK-17646
URL: https://issues.apache.org/jira/browse/SPARK-17646
Project: Spark
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Hyukjin Kwon edited comment on SPARK-17621 at 9/23/16 11:35 AM:
Hi
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Gaurav Shah commented on SPARK-17527:
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I am unable to create a smaller script that can reproduce this
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Hyukjin Kwon commented on SPARK-17621:
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Hi [~srowen] and [~sreelalsl], I just happened to look at
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Fei Wang edited comment on SPARK-17556 at 9/23/16 1:05 PM:
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[~rxin] attached a
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Liang-Chi Hsieh commented on SPARK-17556:
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[~scwf]I already submitted a PR for this. Can you also
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Liang-Chi Hsieh commented on SPARK-17556:
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[~Fei Wang] I quickly go through your design doc.
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Liang-Chi Hsieh edited comment on SPARK-17556 at 9/23/16 1:49 PM:
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Liang-Chi Hsieh edited comment on SPARK-17556 at 9/23/16 1:48 PM:
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Apache Spark commented on SPARK-17017:
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User 'yanboliang' has created a pull request for this issue:
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Fei Wang updated SPARK-17556:
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Attachment: executor broadcast.pdf
> Executor side broadcast for broadcast joins
>
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Fei Wang edited comment on SPARK-17556 at 9/23/16 1:15 PM:
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[~rxin] attached a
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Liang-Chi Hsieh edited comment on SPARK-17556 at 9/23/16 1:45 PM:
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Liang-Chi Hsieh edited comment on SPARK-17556 at 9/23/16 1:45 PM:
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Fei Wang commented on SPARK-17556:
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[~rxin] attached a design doc for the executor based broadcast. Will
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Sean Owen commented on SPARK-17621:
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Yes, in that sense, the result is correct. The code accumulates
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Fei Wang commented on SPARK-17556:
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Not correct, I just collect the broadcast ref to the driver but not
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Fei Wang commented on SPARK-17556:
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Not correct, I just collect the broadcast ref to the driver but not
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Hyukjin Kwon commented on SPARK-17621:
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Cool! I just found it is dependent on job stages and
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Liang-Chi Hsieh commented on SPARK-17556:
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In other words, from the jira description we say "the
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Apache Spark commented on SPARK-17577:
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User 'yanboliang' has created a pull request for this issue:
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Fei Wang commented on SPARK-17556:
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Yes, the main different is is does not introduce overhead to driver,
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Liang-Chi Hsieh commented on SPARK-17556:
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OK. You create the broadcast object on one executor.
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Fei Wang edited comment on SPARK-17556 at 9/23/16 2:50 PM:
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Yes, the main
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Chris Bannister commented on SPARK-17454:
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The scheduler will write the to mesos disk sandbox if
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Fei Wang updated SPARK-17556:
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Comment: was deleted
(was: Not correct, I just collect the broadcast ref to the driver but not the
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Liang-Chi Hsieh commented on SPARK-17556:
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No. It doesn't.
I think the point is not only the
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Fei Wang commented on SPARK-17556:
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That's a good point!
In your solution, the broadcast rdd must
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Apache Spark commented on SPARK-17577:
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User 'yanboliang' has created a pull request for this issue:
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Fei Wang commented on SPARK-17556:
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[~viirya] in this case how about notify driver to re-persist the
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Apache Spark reassigned SPARK-17637:
Assignee: (was: Apache Spark)
> Packed scheduling for Spark tasks across executors
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https://issues.apache.org/jira/browse/SPARK-17637?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17637:
Assignee: Apache Spark
> Packed scheduling for Spark tasks across executors
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https://issues.apache.org/jira/browse/SPARK-17637?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15516881#comment-15516881
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Apache Spark commented on SPARK-17637:
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User 'zhzhan' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17619?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15516905#comment-15516905
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Hyukjin Kwon commented on SPARK-17619:
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Do you mind if I ask you mean {{array_contains}} function?
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https://issues.apache.org/jira/browse/SPARK-17647?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-17647:
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Description:
Try the following in SQL shell:
{code}
select '' like '%\\%';
select ''
Xiangrui Meng created SPARK-17647:
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Summary: SQL LIKE/RLIKE do not handle backslashes correctly
Key: SPARK-17647
URL: https://issues.apache.org/jira/browse/SPARK-17647
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-17637?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15516851#comment-15516851
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Zhan Zhang commented on SPARK-17637:
[~jerryshao] The idea is straightforward. Instead of doing round
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https://issues.apache.org/jira/browse/SPARK-17646?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15516876#comment-15516876
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Pawel Skorupinski commented on SPARK-17646:
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[~srowen] Correct. If this is an assumed
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https://issues.apache.org/jira/browse/SPARK-17634?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15516975#comment-15516975
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Thomas Powell commented on SPARK-17634:
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Several hours. I modified {{worker.R}} so that it logs the
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Xiangrui Meng updated SPARK-17647:
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Description:
Try the following in SQL shell:
{code}
select '' like '%\\%';
select ''
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https://issues.apache.org/jira/browse/SPARK-17647?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-17647:
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Labels: correctness (was: )
> SQL LIKE/RLIKE do not handle backslashes correctly
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https://issues.apache.org/jira/browse/SPARK-17646?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15516876#comment-15516876
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Pawel Skorupinski edited comment on SPARK-17646 at 9/23/16 4:17 PM:
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https://issues.apache.org/jira/browse/SPARK-17454?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15517007#comment-15517007
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Michael Gummelt commented on SPARK-17454:
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So you're trying to only launch executors on nodes
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