Cheng Lian created SPARK-18730:
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Summary: Ask the build script to link to Jenkins test report page
instead of full console output page when posting to GitHub
Key: SPARK-18730
URL:
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https://issues.apache.org/jira/browse/SPARK-18539?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15723781#comment-15723781
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Cheng Lian commented on SPARK-18539:
Please remind me if I missed anything important, otherwise, we
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Cheng Lian edited comment on SPARK-18539 at 12/5/16 11:43 PM:
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Cheng Lian commented on SPARK-18539:
[~v-gerasimov], [~smilegator], and [~xwu0226], after some
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Cheng Lian commented on SPARK-18539:
As commented on GitHub, there're two issues right now:
# This
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Cheng Lian commented on SPARK-18539:
Haven't looked deeply into this issue, but my hunch is that this
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Cheng Lian reassigned SPARK-17213:
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Assignee: Cheng Lian
> Parquet String Pushdown for Non-Eq Comparisons Broken
>
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Cheng Lian commented on SPARK-17213:
Agree that we should disable string and binary filter push down
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Cheng Lian resolved SPARK-9876.
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Resolution: Fixed
Fix Version/s: 2.1.0
> Upgrade parquet-mr to 1.8.1
>
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Cheng Lian commented on SPARK-18251:
One more comment about why we shouldn't allow a {{Option\[T <:
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Cheng Lian updated SPARK-18251:
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Assignee: Wenchen Fan
> DataSet API | RuntimeException: Null value appeared in non-nullable field
>
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Cheng Lian resolved SPARK-18251.
Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 15979
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Cheng Lian edited comment on SPARK-18403 at 11/22/16 6:54 AM:
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Here is a
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Cheng Lian commented on SPARK-18403:
Figured it out. It's caused by a false sharing issue inside
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Cheng Lian commented on SPARK-18403:
Here is a minimal test case (add it to
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Cheng Lian commented on SPARK-11785:
But I'm not sure which PR fixes this issue, though.
> When
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Cheng Lian commented on SPARK-11785:
Confirmed that this is no longer an issue for 2.1
> When
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Cheng Lian edited comment on SPARK-18251 at 11/18/16 6:38 PM:
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I'd prefer
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Cheng Lian edited comment on SPARK-18251 at 11/18/16 6:37 PM:
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I'd prefer
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Cheng Lian commented on SPARK-18251:
I'd prefer option 1 because of consistency of the semantics, and
Cheng Lian created SPARK-18451:
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Summary: Always set -XX:+HeapDumpOnOutOfMemoryError for Spark tests
Key: SPARK-18451
URL: https://issues.apache.org/jira/browse/SPARK-18451
Project: Spark
Issue
Cheng Lian created SPARK-18403:
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Summary: ObjectHashAggregateSuite is being flaky (occasional OOM
errors)
Key: SPARK-18403
URL: https://issues.apache.org/jira/browse/SPARK-18403
Project: Spark
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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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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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https://issues.apache.org/jira/browse/SPARK-18338?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-18338:
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Description:
Test case initialization order under Maven and SBT are different. Maven always
creates
Cheng Lian created SPARK-18338:
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Summary: ObjectHashAggregateSuite fails under Maven builds
Key: SPARK-18338
URL: https://issues.apache.org/jira/browse/SPARK-18338
Project: Spark
Issue Type:
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Cheng Lian updated SPARK-17972:
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Description:
The following Spark shell snippet creates a series of query plans that grow
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Cheng Lian resolved SPARK-11879.
Resolution: Duplicate
> Checkpoint support for DataFrame/Dataset
>
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Cheng Lian commented on SPARK-11879:
Sorry that I didn't notice this ticket while working on
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Cheng Lian commented on SPARK-18209:
One problem of the proposed approach is that our SQL parser
Cheng Lian created SPARK-18186:
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Summary: Migrate HiveUDAFFunction to TypedImperativeAggregate for
partial aggregation support
Key: SPARK-18186
URL: https://issues.apache.org/jira/browse/SPARK-18186
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Cheng Lian commented on SPARK-18053:
Yea, reproduced using 2.0.
> ARRAY equality is broken in Spark
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Cheng Lian commented on SPARK-18053:
Hm, the user mailing list thread said that it fails under 2.0
Cheng Lian created SPARK-18058:
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Summary: AnalysisException may be thrown when union two DFs whose
struct fields have different nullability
Key: SPARK-18058
URL: https://issues.apache.org/jira/browse/SPARK-18058
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Cheng Lian updated SPARK-17949:
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Description:
The new Tungsten execution engine has very robust memory management and speed
for
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Cheng Lian updated SPARK-17949:
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Description:
The new Tungsten execution engine has very robust memory management and speed
for
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Cheng Lian updated SPARK-18053:
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Labels: correctness (was: )
> ARRAY equality is broken in Spark 2.0
>
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Cheng Lian updated SPARK-18053:
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Description:
The following Spark shell reproduces this issue:
{code}
case class Test(a: Seq[Int])
Cheng Lian created SPARK-18053:
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Summary: ARRAY equality is broken in Spark 2.0
Key: SPARK-18053
URL: https://issues.apache.org/jira/browse/SPARK-18053
Project: Spark
Issue Type: Bug
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Cheng Lian resolved SPARK-18012.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 15551
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Cheng Lian updated SPARK-17949:
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Attachment: [Design Doc] Support for Arbitrary Aggregation States.pdf
> Introduce a JVM object based
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Cheng Lian updated SPARK-17949:
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Attachment: (was: [Design Doc] Support for Arbitrary Aggregation
States.pdf)
> Introduce a JVM
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Cheng Lian updated SPARK-17949:
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Attachment: [Design Doc] Support for Arbitrary Aggregation States.pdf
> Introduce a JVM object based
Cheng Lian created PARQUET-754:
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Summary: Deprecate the "strict" argument in MessageType.union()
Key: PARQUET-754
URL: https://issues.apache.org/jira/browse/PARQUET-754
Project: Parquet
Issue
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https://issues.apache.org/jira/browse/PARQUET-753?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15583942#comment-15583942
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Cheng Lian commented on PARQUET-753:
PARQUET-379 resolves the {{union}} issue related to primitive
Cheng Lian created SPARK-17972:
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Summary: Query planning slows down dramatically for large query
plans even when sub-trees are cached
Key: SPARK-17972
URL: https://issues.apache.org/jira/browse/SPARK-17972
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Cheng Lian reassigned SPARK-17949:
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Assignee: Cheng Lian
> Introduce a JVM object based aggregate operator
>
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Cheng Lian commented on SPARK-10954:
[~hyukjin.kwon], yes, confirmed. Thanks!
> Parquet version in
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Cheng Lian closed SPARK-9783.
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Resolution: Not A Problem
This issue is no longer a problem since we re-implemented the JSON data source
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Cheng Lian commented on SPARK-9783:
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Yes, I'm closing this. Thanks!
> Use SqlNewHadoopRDD in
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Cheng Lian commented on SPARK-17636:
[~MasterDDT], yes, just as what [~hyukjin.kwon] explained
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Cheng Lian updated SPARK-17636:
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Description:
There's a *PushedFilters* for a simple numeric field, but not for a numeric
field
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Cheng Lian edited comment on SPARK-17845 at 10/10/16 6:43 AM:
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One thing is
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Cheng Lian edited comment on SPARK-17845 at 10/10/16 6:00 AM:
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One thing is
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Cheng Lian commented on SPARK-17845:
One thing is that ANSI SQL also allows using arbitrary integral
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Cheng Lian commented on SPARK-17725:
Reproducing this issue by writing a Parquet file using:
{code}
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Cheng Lian resolved SPARK-16516.
Resolution: Fixed
Issue resolved by pull request 14172
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Cheng Lian updated SPARK-16777:
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Fix Version/s: (was: 2.2.0)
2.1.0
> Parquet schema converter depends on
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Cheng Lian updated SPARK-16516:
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Fix Version/s: 2.1.0
> Support for pushing down filters for decimal and timestamp types in ORC
>
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Cheng Lian updated SPARK-16516:
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Assignee: Hyukjin Kwon
> Support for pushing down filters for decimal and timestamp types in ORC
>
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Cheng Lian updated SPARK-16777:
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Fix Version/s: 2.1.0
2.0.2
> Parquet schema converter depends on deprecated APIs
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Cheng Lian resolved SPARK-16777.
Resolution: Fixed
Fix Version/s: (was: 2.0.2)
(was: 2.1.0)
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Cheng Lian updated SPARK-16777:
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Assignee: Hyukjin Kwon
> Parquet schema converter depends on deprecated APIs
>
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https://issues.apache.org/jira/browse/SPARK-8824?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15525313#comment-15525313
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Cheng Lian edited comment on SPARK-8824 at 9/27/16 7:09 AM:
Since we've
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Cheng Lian commented on SPARK-8824:
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Since we've already upgraded parquet-mr in Spark master to 1.8.1,
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Cheng Lian commented on SPARK-17572:
Yea, I know you are not using HDFS. But Spark always uses Hadoop
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Cheng Lian commented on SPARK-17572:
Which version of Hadoop are you using? Does it work when you
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Cheng Lian updated SPARK-17572:
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Description:
Hi,
We have spark cluster with four nodes, all four nodes have NFS partition
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Cheng Lian resolved SPARK-17289.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14865
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Cheng Lian updated SPARK-17289:
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Assignee: Takeshi Yamamuro
> Sort based partial aggregation breaks due to SPARK-12978
>
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Cheng Lian updated SPARK-16283:
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Assignee: (was: Sean Zhong)
> Implement percentile_approx SQL function
>
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Cheng Lian updated SPARK-16283:
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Assignee: Sean Zhong
> Implement percentile_approx SQL function
>
Cheng Lian created SPARK-17182:
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Summary: CollectList and CollectSet should be marked as
non-deterministic
Key: SPARK-17182
URL: https://issues.apache.org/jira/browse/SPARK-17182
Project: Spark
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Cheng Lian resolved SPARK-16975.
Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull
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Cheng Lian updated SPARK-16975:
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Assignee: Dongjoon Hyun
> Spark-2.0.0 unable to infer schema for parquet data written by Spark-1.6.2
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Cheng Lian resolved SPARK-16867.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14476
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https://issues.apache.org/jira/browse/SPARK-16842?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15403567#comment-15403567
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Cheng Lian commented on SPARK-16842:
First of all, the cost of schema discovery can be heavy when
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https://issues.apache.org/jira/browse/SPARK-16621?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-16621:
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Assignee: Dongjoon Hyun
> Generate stable SQLs in SQLBuilder
> --
>
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Cheng Lian resolved SPARK-16621.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14257
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Cheng Lian updated SPARK-1:
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Description:
I'm trying to create a dataset with some geo data using spark and esri. If
`Foo` only
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Cheng Lian updated SPARK-1:
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Description:
I'm trying to create a dataset with some geo data using spark and esri. If
`Foo` only
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Cheng Lian updated SPARK-16734:
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Priority: Minor (was: Major)
> Make sure examples in all language bindings are consistent
>
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Cheng Lian resolved SPARK-16663.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14302
Cheng Lian created SPARK-16734:
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Summary: Make sure examples in all language bindings are consistent
Key: SPARK-16734
URL: https://issues.apache.org/jira/browse/SPARK-16734
Project: Spark
Issue
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Cheng Lian resolved SPARK-16706.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14344
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Cheng Lian updated SPARK-16698:
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Assignee: Hyukjin Kwon
> json parsing regression - "." in keys
>
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Cheng Lian resolved SPARK-16698.
Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull
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Cheng Lian updated SPARK-16668:
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Assignee: Sameer Agarwal
> Test parquet reader for row groups containing both dictionary and plain
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https://issues.apache.org/jira/browse/SPARK-16668?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian resolved SPARK-16668.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14304
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https://issues.apache.org/jira/browse/SPARK-16691?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian resolved SPARK-16691.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14331
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https://issues.apache.org/jira/browse/SPARK-16660?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian resolved SPARK-16660.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14297
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https://issues.apache.org/jira/browse/SPARK-16703?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-16703:
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Description:
For a {{WindowSpecDefinition}} whose {{partitionSpec}} is empty, there's an
extra
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https://issues.apache.org/jira/browse/SPARK-16703?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-16703:
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Description:
For a {{WindowSpecDefinition}} whose {{partitionSpec}} is empty, there's an
extra
Cheng Lian created SPARK-16703:
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Summary: Extra space in WindowSpecDefinition SQL representation
Key: SPARK-16703
URL: https://issues.apache.org/jira/browse/SPARK-16703
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-16646?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15389141#comment-15389141
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Cheng Lian commented on SPARK-16646:
Could you please help check Hive's behavior here? Especially
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https://issues.apache.org/jira/browse/SPARK-16632?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15387791#comment-15387791
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Cheng Lian commented on SPARK-16632:
Oh, I see, thanks for the explanation.
> Vectorized parquet
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https://issues.apache.org/jira/browse/SPARK-16646?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15387172#comment-15387172
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Cheng Lian commented on SPARK-16646:
Thanks for the help! I'm not working on this.
> LEAST doesn't
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https://issues.apache.org/jira/browse/SPARK-16646?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-16646:
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Reporter: Cheng Lian (was: liancheng)
> LEAST doesn't accept numeric arguments with different data
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https://issues.apache.org/jira/browse/SPARK-16646?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-16646:
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Assignee: Hyukjin Kwon
> LEAST doesn't accept numeric arguments with different data types
>
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https://issues.apache.org/jira/browse/SPARK-16648?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-16648:
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Reporter: Cheng Lian (was: liancheng)
> LAST_VALUE(FALSE) OVER () throws IndexOutOfBoundsException
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