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hao updated SPARK-46354:
Priority: Trivial (was: Major)
> Add restriction parameters to dynamic partitions for writing datasource
>
hao created SPARK-46354:
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Summary: Add restriction parameters to dynamic partitions for
writing datasource
Key: SPARK-46354
URL: https://issues.apache.org/jira/browse/SPARK-46354
Project: Spark
Issue
hao created SPARK-44483:
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Summary: When using Spark to read the hive table, the number of
file partitions cannot be set using Spark's configuration settings
Key: SPARK-44483
URL:
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hao commented on SPARK-42714:
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This problem will cause the task to throw the problem of deleting the current
hao created SPARK-42714:
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Summary: Sparksql temporary file conflict
Key: SPARK-42714
URL: https://issues.apache.org/jira/browse/SPARK-42714
Project: Spark
Issue Type: Bug
Components: SQL
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weiliang hao updated SPARK-41241:
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Description:
-- Hive
> create table table_test(id int);
> alter table table_test change
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weiliang hao commented on SPARK-41241:
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[~xkrogen] The problem is that Spark modifies the Hive
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weiliang hao commented on SPARK-41241:
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I will fix it
> Use Hive and Spark SQL to modify table
weiliang hao created SPARK-41241:
Summary: Use Hive and Spark SQL to modify table field comment, the
modified results of Hive cannot be queried using Spark SQL
Key: SPARK-41241
URL:
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https://issues.apache.org/jira/browse/SPARK-41160?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17634788#comment-17634788
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weiliang hao commented on SPARK-41160:
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I will try to fix it. Depends on jersey-client:1.19 when
weiliang hao created SPARK-41160:
Summary: An error is reported when submitting a task to the yarn
that enabled the timeline service
Key: SPARK-41160
URL: https://issues.apache.org/jira/browse/SPARK-41160
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https://issues.apache.org/jira/browse/SPARK-39396?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17550772#comment-17550772
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weiliang hao commented on SPARK-39396:
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When a user with DN (cn=user, ou=people, dc=example,
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weiliang hao commented on SPARK-39396:
--
I will try to solve this problem
> Spark Thriftserver
weiliang hao created SPARK-39396:
Summary: Spark Thriftserver enabled LDAP,Error using beeline
connection: error code 49 - invalid credentials
Key: SPARK-39396
URL:
weiliang hao created SPARK-39395:
Summary: Spark Thriftserver enabled LDAP,Error using beeline
connection: error code 49 - invalid credentials
Key: SPARK-39395
URL:
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https://issues.apache.org/jira/browse/SPARK-32570?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17547810#comment-17547810
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weiliang hao commented on SPARK-32570:
--
cc [~dongjoon] [~hyukjin.kwon]
> Thriftserver LDAP
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weiliang hao commented on SPARK-32570:
--
Can this JIRA be assigned to me? I will try to solve this
[ https://issues.apache.org/jira/browse/SPARK-32570 ]
weiliang hao deleted comment on SPARK-32570:
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was (Author: haoweiliang):
Can this JIRA be assigned to me? I will try to solve this problem
> Thriftserver LDAP failed
>
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weiliang hao commented on SPARK-32570:
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Can this JIRA be assigned to me? I will try to solve this
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hao updated SPARK-37274:
Summary: When the value of this parameter is greater than the maximum value
of int type, the value will be thrown
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hao updated SPARK-37274:
Description: When the value of this parameter is greater than the maximum
value of int type, the value will be
hao created SPARK-37274:
---
Summary: These parameters should be of type long, not int
Key: SPARK-37274
URL: https://issues.apache.org/jira/browse/SPARK-37274
Project: Spark
Issue Type: Improvement
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hao commented on SPARK-34406:
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Yes, sir. I'm using the Yarn cluster mode. What I mean here is that when the
hao created SPARK-34406:
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Summary: When we submit spark core tasks frequently, the submitted
nodes will have a lot of resource pressure
Key: SPARK-34406
URL: https://issues.apache.org/jira/browse/SPARK-34406
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https://issues.apache.org/jira/browse/SPARK-33982?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17259391#comment-17259391
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hao commented on SPARK-33982:
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[~hyukjin.kwon] 小哥,能看懂中文的呀!是的这是同一个问题>.<
> Sparksql does not support when the
hao created SPARK-34006:
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Summary: [spark.sql.hive.convertMetastoreOrc]This parameter can
solve orc format table insert overwrite read table, it should be stated in the
document
Key: SPARK-34006
URL:
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hao edited comment on SPARK-33982 at 1/4/21, 11:19 AM:
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我认为sparksql应该得到支持insert
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hao commented on SPARK-33982:
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我认为sparksql应该得到支持
> Sparksql does not support when the inserted table is a
hao created SPARK-33982:
---
Summary: Sparksql does not support when the inserted table is a
read table
Key: SPARK-33982
URL: https://issues.apache.org/jira/browse/SPARK-33982
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-17299?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15451914#comment-15451914
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Cheng Hao commented on SPARK-17299:
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Or come after SPARK-14878 ?
> TRIM/LTRIM/RTRIM strips characters
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Cheng Hao commented on SPARK-17299:
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Yes, that's my bad, I thought it should be the same behavior of
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GUAN Hao commented on SPARK-16869:
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I've update the outer joining part (which was missing) to the code
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GUAN Hao edited comment on SPARK-16869 at 8/3/16 10:17 AM:
---
{{i = colaesce(b.i,
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GUAN Hao updated SPARK-16869:
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Description:
I have to DataFrames, both contain a column named *i* which are derived from a
same
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GUAN Hao edited comment on SPARK-16869 at 8/3/16 10:16 AM:
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{{i = colaesce(b.i,
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GUAN Hao edited comment on SPARK-16869 at 8/3/16 10:14 AM:
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Oh, {{i =
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GUAN Hao commented on SPARK-16869:
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Oh, {{ i = colaesce(b.i, c.i) }} is actually just a comment.
Please
GUAN Hao created SPARK-16869:
Summary: Wrong projection when join on columns with the same name
which are derived from the same dataframe
Key: SPARK-16869
URL: https://issues.apache.org/jira/browse/SPARK-16869
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Yang Hao updated SPARK-16214:
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Description:
As the iteration number is n - 1, the denominator would also be n,
was:
As the
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Yang Hao updated SPARK-16214:
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Description:
As the iteration number is n - 1, then the denominator would also be n,
was:
As the
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Yang Hao updated SPARK-16214:
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Summary: fix the denominator of SparkPi (was: make SparkPi iteration
number correct)
> fix the
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Yang Hao updated SPARK-16214:
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Attachment: (was: SPARK-16214.patch)
> make SparkPi iteration number correct
>
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Yang Hao updated SPARK-16214:
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Description:
As the denominator is n, the iteration number should also be n
was:
As the denominator
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Yang Hao updated SPARK-16214:
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Description:
As the denominator is n, the iteration number should also be n
A pull request is
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Yang Hao updated SPARK-16214:
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Attachment: (was: SPARK-16214.patch)
> make SparkPi iteration time correct
>
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Yang Hao updated SPARK-16214:
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Description:
As the denominator is n, the iteration time should also be n
was:
As the denominator is
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Yang Hao updated SPARK-16214:
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Attachment: SPARK-16214.patch
> make SparkPi iteration time correct
>
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Yang Hao resolved SPARK-16214.
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Resolution: Resolved
> make SparkPi iteration time correct
> ---
>
>
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Yang Hao updated SPARK-16214:
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Attachment: SPARK-16214.patch
> make SparkPi iteration time correct
>
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Yang Hao updated SPARK-16214:
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Summary: make SparkPi iteration time correct (was: optimize SparkPi)
> make SparkPi iteration time
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Yang Hao updated SPARK-16214:
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Summary: optimize SparkPi (was: calculate pi is not correct)
> optimize SparkPi
>
>
>
Yang Hao created SPARK-16214:
Summary: calculate pi is not correct
Key: SPARK-16214
URL: https://issues.apache.org/jira/browse/SPARK-16214
Project: Spark
Issue Type: Improvement
Cheng Hao created SPARK-15859:
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Summary: Optimize the Partition Pruning with Disjunction
Key: SPARK-15859
URL: https://issues.apache.org/jira/browse/SPARK-15859
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-15730?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15318654#comment-15318654
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Cheng Hao commented on SPARK-15730:
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[~jameszhouyi], can you please verify this fixing?
> [Spark SQL]
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Cheng Hao commented on SPARK-15034:
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[~yhuai], but it probably not respect the `hive-site.xml`, and
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Xin Hao edited comment on SPARK-4452 at 5/9/16 8:36 AM:
Since this is an old issue
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Xin Hao commented on SPARK-4452:
Since this is an old issue which impact Spark since 1.1.0, can the patch
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https://issues.apache.org/jira/browse/SPARK-13894?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15195274#comment-15195274
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Cheng Hao commented on SPARK-13894:
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The existing functions "SQLContext.range()" returns the underlying
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Cheng Hao commented on SPARK-13326:
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Can not reproduce it anymore, can you try it again?
> Dataset in
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Ji Hao commented on SPARK-13133:
Sean Owen, I think you should consider this issue, the error log may be
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Ji Hao updated SPARK-13133:
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Comment: was deleted
(was: Sean Owen, I think you should consider this issue, the error log may be
more
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Ji Hao commented on SPARK-13133:
Sean Owen, I think you should consider this issue, the error log may be
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Cheng Hao updated SPARK-12610:
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Issue Type: Sub-task (was: New Feature)
Parent: SPARK-4226
> Add Anti Join Operators
>
Cheng Hao created SPARK-12610:
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Summary: Add Anti Join Operators
Key: SPARK-12610
URL: https://issues.apache.org/jira/browse/SPARK-12610
Project: Spark
Issue Type: New Feature
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Cheng Hao commented on SPARK-12196:
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Thank you wei wu to support this feature!
However, we're trying
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Cheng Hao updated SPARK-8360:
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Attachment: StreamingDataFrameProposal.pdf
This is a proposal for streaming dataframes that we were
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Cheng Hao edited comment on SPARK-8360 at 12/2/15 12:14 PM:
Remove the google
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Cheng Hao edited comment on SPARK-8360 at 12/2/15 6:19 AM:
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Add some thoughts on
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Cheng Hao commented on SPARK-8360:
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Add some thoughts on StreamingSQL.
Cheng Hao created SPARK-12064:
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Summary: Make the SqlParser as trait for better integrated with
extensions
Key: SPARK-12064
URL: https://issues.apache.org/jira/browse/SPARK-12064
Project: Spark
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Cheng Hao resolved SPARK-12064.
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Resolution: Won't Fix
DBX has plan to remove the SqlParser in 2.0.
> Make the SqlParser as trait
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Cheng Hao commented on SPARK-10865:
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1.5.2 is released, I am not sure whether part of it now or not.
>
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Cheng Hao commented on SPARK-10865:
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We actually follow the criteria of Hive, and actually I tested it
Cheng Hao created SPARK-11512:
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Summary: Bucket Join
Key: SPARK-11512
URL: https://issues.apache.org/jira/browse/SPARK-11512
Project: Spark
Issue Type: Sub-task
Components: SQL
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Cheng Hao commented on SPARK-11512:
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Oh, yes, but SPARK-5292 is only about to support the Hive bucket,
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Cheng Hao commented on SPARK-11512:
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We need to support the "bucket" for DataSource API.
> Bucket Join
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Cheng Hao commented on SPARK-10371:
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Eliminating the common sub expression within the projection?
>
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Cheng Hao commented on SPARK-11330:
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[~saif.a.ellafi] I've checked that with 1.5.0 and it's confirmed
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Cheng Hao edited comment on SPARK-11330 at 10/29/15 2:48 AM:
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OK, seems it's
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Cheng Hao commented on SPARK-11330:
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OK, seems it's solved in
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Cheng Hao edited comment on SPARK-11330 at 10/28/15 2:28 AM:
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Hi,
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Cheng Hao commented on SPARK-11330:
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Hi, [~saif.a.ellafi], I've tried the code like below:
{code}
case
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Cheng Hao updated SPARK-9735:
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Description:
This code is copied from the hadoopFsRelationSuite.scala
{code}
partitionedTestDF = (for {
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Cheng Hao commented on SPARK-4226:
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[~nadenf] Actually I am working on it right now, and the first PR is
Cheng Hao created SPARK-11076:
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Summary: Decimal Support for Ceil/Floor
Key: SPARK-11076
URL: https://issues.apache.org/jira/browse/SPARK-11076
Project: Spark
Issue Type: Improvement
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Cheng Hao closed SPARK-11041.
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Resolution: Duplicate
> Add (NOT) IN / EXISTS support for predicates
>
Cheng Hao created SPARK-11041:
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Summary: Add (NOT) IN / EXISTS support for predicates
Key: SPARK-11041
URL: https://issues.apache.org/jira/browse/SPARK-11041
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-10992?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Hao updated SPARK-10992:
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Issue Type: Sub-task (was: Improvement)
Parent: SPARK-4366
> Partial Aggregation Support for
Cheng Hao created SPARK-10831:
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Summary: Spark SQL Configuration missing in the doc
Key: SPARK-10831
URL: https://issues.apache.org/jira/browse/SPARK-10831
Project: Spark
Issue Type:
Cheng Hao created SPARK-10829:
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Summary: Scan DataSource with predicate expression combine
partition key and attributes doesn't work
Key: SPARK-10829
URL: https://issues.apache.org/jira/browse/SPARK-10829
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https://issues.apache.org/jira/browse/SPARK-10733?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14904778#comment-14904778
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Cheng Hao commented on SPARK-10733:
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[~jameszhouyi] Can you please patch the
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https://issues.apache.org/jira/browse/SPARK-10474?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14802912#comment-14802912
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Cheng Hao commented on SPARK-10474:
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The root reason for this failure, is because of the
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https://issues.apache.org/jira/browse/SPARK-10474?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14802912#comment-14802912
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Cheng Hao edited comment on SPARK-10474 at 9/17/15 1:48 PM:
The root reason
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https://issues.apache.org/jira/browse/SPARK-10606?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14791499#comment-14791499
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Cheng Hao commented on SPARK-10606:
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[~rhbutani] Which version are you using, actually I've fixed the
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https://issues.apache.org/jira/browse/SPARK-4226?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14746642#comment-14746642
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Cheng Hao commented on SPARK-4226:
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Thank you [~brooks], you're right! I meant it will makes more
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https://issues.apache.org/jira/browse/SPARK-10474?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14744969#comment-14744969
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Cheng Hao commented on SPARK-10474:
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The root causes for the exception is the executor don't have
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https://issues.apache.org/jira/browse/SPARK-10466?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14744966#comment-14744966
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Cheng Hao commented on SPARK-10466:
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[~naliazheli] It's an irrelevant issue, you'd better to subscribe
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https://issues.apache.org/jira/browse/SPARK-10474?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14745008#comment-14745008
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Cheng Hao commented on SPARK-10474:
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But from the current implementation, we'd better not to throw
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https://issues.apache.org/jira/browse/SPARK-10466?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14744967#comment-14744967
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Cheng Hao commented on SPARK-10466:
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[~naliazheli] It's an irrelevant issue, you'd better to subscribe
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https://issues.apache.org/jira/browse/SPARK-10466?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Hao updated SPARK-10466:
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Comment: was deleted
(was: [~naliazheli] It's an irrelevant issue, you'd better to subscribe the
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