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 SPA
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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 = spark.range(
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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: Bug
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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
exponential
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https://issues.apache.org/jira/browse/SPARK-11879?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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 wor
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https://issues.apache.org/jira/browse/SPARK-18209?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15626823#comment-15626823
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Cheng Lian commented on SPARK-18209:
One problem of the proposed approach is that our
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
Proj
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Cheng Lian commented on SPARK-18053:
Yea, reproduced using 2.0.
> ARRAY equality is
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Cheng Lian commented on SPARK-18053:
Hm, the user mailing list thread said that it fa
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 simpl
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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 simpl
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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])
Seq
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
C
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Cheng Lian resolved SPARK-18012.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 15551
[https://github.
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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 o
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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 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!
> Parq
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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 SqlNewHadoopR
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Cheng Lian commented on SPARK-17636:
[~MasterDDT], yes, just as what [~hyukjin.kwon]
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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 insid
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Cheng Lian edited comment on SPARK-17845 at 10/10/16 6:43 AM:
-
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Cheng Lian edited comment on SPARK-17845 at 10/10/16 6:00 AM:
-
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Cheng Lian commented on SPARK-17845:
One thing is that ANSI SQL also allows using arb
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Cheng Lian commented on SPARK-17725:
Reproducing this issue by writing a Parquet file
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Cheng Lian resolved SPARK-16516.
Resolution: Fixed
Issue resolved by pull request 14172
[https://github.com/apache/spark/pull/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 deprec
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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&focusedCommentId=15525313#comment-15525313
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Cheng Lian edited comment on SPARK-8824 at 9/27/16 7:09 AM:
Si
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Cheng Lian commented on SPARK-8824:
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Since we've already upgraded parquet-mr in Spark ma
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Cheng Lian commented on SPARK-17572:
Yea, I know you are not using HDFS. But Spark al
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Cheng Lian commented on SPARK-17572:
Which version of Hadoop are you using? Does it w
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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
shared(t
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Cheng Lian resolved SPARK-17289.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14865
[https://github.
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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 reque
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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
[https://github.
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Cheng Lian commented on SPARK-16842:
First of all, the cost of schema discovery can b
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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
[https://github.
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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 h
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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 h
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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
[https://github.
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
[https://github.
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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 reque
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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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Cheng Lian resolved SPARK-16668.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14304
[https://github.
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Cheng Lian resolved SPARK-16691.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14331
[https://github.
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Cheng Lian resolved SPARK-16660.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14297
[https://github.
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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 space
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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 space
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 Type
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Cheng Lian commented on SPARK-16646:
Could you please help check Hive's behavior here
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Cheng Lian commented on SPARK-16632:
Oh, I see, thanks for the explanation.
> Vector
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Cheng Lian commented on SPARK-16646:
Thanks for the help! I'm not working on this.
>
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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 t
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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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Cheng Lian updated SPARK-16648:
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Reporter: Cheng Lian (was: liancheng)
> LAST_VALUE(FALSE) OVER () throws IndexOutOfBoundsException
>
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Cheng Lian commented on SPARK-16632:
Discussed with [~yhuai] after merging [PR
#1427
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Cheng Lian updated SPARK-16632:
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Assignee: Marcelo Vanzin
> Vectorized parquet reader fails to read certain fields from Hive tables
>
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Cheng Lian commented on SPARK-16632:
[~vanzin] Did you post the wrong stack trace? Th
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Cheng Lian resolved SPARK-16632.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14272
[https://github.
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Cheng Lian updated SPARK-16633:
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Attachment: window_function_bug.html
JIRA went down right before [~yhuai] tried to upload the noteboo
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Cheng Lian commented on SPARK-16576:
[~rxin] I wrote the first version of the {{SQLBu
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Cheng Lian resolved SPARK-16529.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 14184
[https://github.
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Cheng Lian updated SPARK-16529:
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Assignee: Dongjoon Hyun
> SQLTestUtils.withTempDatabase should set `default` database before dropping
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https://issues.apache.org/jira/browse/SPARK-16448?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian resolved SPARK-16448.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14106
[https://github.
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https://issues.apache.org/jira/browse/SPARK-16343?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-16343:
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Assignee: Jiang Xingbo
> Improve the PushDownPredicate rule to pushdown predicates currectly in
> no
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https://issues.apache.org/jira/browse/SPARK-16343?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-16343:
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Affects Version/s: 2.0.0
> Improve the PushDownPredicate rule to pushdown predicates currectly in
>
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https://issues.apache.org/jira/browse/SPARK-16343?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian resolved SPARK-16343.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14012
[https://github.
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https://issues.apache.org/jira/browse/SPARK-16303?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian resolved SPARK-16303.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 14119
[https://github.
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https://issues.apache.org/jira/browse/SPARK-16381?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian resolved SPARK-16381.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 14082
[https://github.
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https://issues.apache.org/jira/browse/SPARK-16344?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15369481#comment-15369481
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Cheng Lian edited comment on SPARK-16344 at 7/10/16 8:07 AM:
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Cheng Lian commented on SPARK-16344:
Thanks to [~rdblue]'s comment about why there're
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Cheng Lian commented on SPARK-16344:
I was re-thinking about [~rdblue]'s comment abov
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https://issues.apache.org/jira/browse/SPARK-16303?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15367345#comment-15367345
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Cheng Lian edited comment on SPARK-16303 at 7/8/16 7:28 AM:
T
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Cheng Lian edited comment on SPARK-16303 at 7/8/16 7:27 AM:
T
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Cheng Lian commented on SPARK-16303:
Thanks for working on this! I'd suggest to send
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https://issues.apache.org/jira/browse/SPARK-16344?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15366069#comment-15366069
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Cheng Lian edited comment on SPARK-16344 at 7/8/16 12:12 AM:
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Cheng Lian commented on SPARK-16344:
Thanks for the detailed response!
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