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Cheng Lian commented on SPARK-13101:
The reason why 1.6.0 allows this illegal situation is that we
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Cheng Lian edited comment on SPARK-13101 at 2/1/16 7:45 PM:
[~deenar] I also
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Cheng Lian edited comment on SPARK-13101 at 2/1/16 7:55 PM:
I think
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Cheng Lian reassigned SPARK-12718:
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Assignee: Xiao Li
> SQL generation support for window functi
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Cheng Lian commented on PARQUET-401:
Fix of this issue is nice to have but probably shouldn't block
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Cheng Lian commented on SPARK-6319:
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One possible but not necessarily the best workaround is to have
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Cheng Lian resolved PARQUET-495.
Resolution: Fixed
Issue resolved by pull request 317
[https://github.com/apache/parquet-mr/pull
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Cheng Lian updated SPARK-13101:
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Description:
There seems to be a regression between 1.6.0 and 1.6.1 (snapshot build). By
default
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Cheng Lian commented on SPARK-12725:
There are other analysis rules that may use generated attributes
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Cheng Lian updated SPARK-12725:
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Description:
Some analysis rules generate auxiliary attribute references with the same name
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Cheng Lian commented on SPARK-12624:
Yes, it should.
> When schema is specified, we should g
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Cheng Lian resolved PARQUET-432.
Resolution: Fixed
Issue resolved by pull request 314
[https://github.com/apache/parquet-mr/pull
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Cheng Lian resolved SPARK-13050.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 10954
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Cheng Lian commented on SPARK-12725:
One possible solution I was thinking about is that we can add
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Cheng Lian commented on SPARK-12723:
Most of this issue is probably fixed in SPARK-12799 and PR
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Cheng Lian commented on SPARK-12727:
It would be nice if we can recover the original distinct
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Cheng Lian updated SPARK-11012:
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Description:
In SPARK-10337, we added the first step of supporting view natively, which
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Cheng Lian updated SPARK-12719:
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Description:
{{HiveCompatibilitySuite}} can be useful for bootstrapping test coverage.
Please refer
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Cheng Lian updated SPARK-12721:
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Description:
{{HiveCompatibilitySuite}} can be useful for bootstrapping test coverage.
Please refer
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Cheng Lian updated SPARK-12720:
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Description:
{{HiveCompatibilitySuite}} can be useful for bootstrapping test coverage.
Please refer
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Cheng Lian updated SPARK-12718:
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Description: {{HiveWindowFunctionQuerySuite}} and
{{HiveWindowFunctionQueryFileSuite}} can be useful
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Cheng Lian resolved SPARK-12401.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 10596
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Cheng Lian updated SPARK-12401:
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Assignee: Takeshi Yamamuro
> Add support for enums in postg
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Cheng Lian updated SPARK-13050:
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Description:
Builds fail at the new sketch module when a scalatest tag is used. Found when
using
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Cheng Lian updated SPARK-11955:
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Assignee: Liang-Chi Hsieh
> Mark one side fields in merging schema for safely pushdowning filt
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Cheng Lian resolved SPARK-11955.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 9940
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Cheng Lian commented on SPARK-12725:
Thanks, this also sounds good to me. Will try this approach
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Cheng Lian updated SPARK-11012:
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Description:
In SPARK-10337, we added the first step of supporting view natively, which
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Cheng Lian updated SPARK-13050:
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Assignee: Alex Bozarth
> Scalatest tags fail builds with the addition of the sketch mod
Cheng Lian created SPARK-13070:
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Summary: Points which physical file is the trouble maker when
Parquet schema merging fails
Key: SPARK-13070
URL: https://issues.apache.org/jira/browse/SPARK-13070
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Cheng Lian updated SPARK-13070:
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Summary: Points out which physical file is the trouble maker when Parquet
schema merging fails
Aside from Nong's comment, I think PARQUET-222, where we discussed a
performance issue of writing wide tables, can be helpful.
Cheng
On 1/23/16 4:53 PM, Nong Li wrote:
I expect this to be difficult. This is roughly 3 orders of magnitude more
than even
a typical wide table use case.
Answers
The following snippet may help:
sqlContext.read.parquet(path).withColumn("col_ts",
$"col".cast(TimestampType)).drop("col")
Cheng
On 1/21/16 6:58 AM, Muthu Jayakumar wrote:
DataFrame and udf. This may be more performant than doing an RDD
transformation as you'll only transform just the
:
Thanks Cheng, Nong.
Data in the matrix is homogenous (cells are booleans), so, I don't expect
to face memory related issues. Is the limitation on the # of columns or
memory issues caused by the # of columns? To me it sounds more like memory
issues.
On Mon, Jan 25, 2016 at 10:16 AM, Cheng Lian
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Cheng Lian updated SPARK-12624:
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Summary: When schema is specified, we should give better error message if
actual row length doesn't
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Cheng Lian commented on SPARK-12624:
Quoted Davies' offline comment
{quote}
We always raise
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Cheng Lian updated SPARK-12624:
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Description:
The following code snippet reproduces this issue:
{code}
from pyspark.sql.types import
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Cheng Lian updated SPARK-12818:
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Comment: was deleted
(was: User 'liancheng' has created a pull request for this issue:
https
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Cheng Lian updated SPARK-12938:
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Assignee: Wenchen Fan (was: Cheng Lian)
> Bloom filter DataFrame API integrat
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Cheng Lian updated SPARK-12936:
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Assignee: Wenchen Fan (was: Cheng Lian)
> Initial bloom filter implementat
Cheng Lian created SPARK-12935:
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Summary: Count-min sketch DataFrame API integration
Key: SPARK-12935
URL: https://issues.apache.org/jira/browse/SPARK-12935
Project: Spark
Issue Type: Sub-task
Cheng Lian created SPARK-12933:
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Summary: Initial count-min sketch implementation
Key: SPARK-12933
URL: https://issues.apache.org/jira/browse/SPARK-12933
Project: Spark
Issue Type: Sub-task
Cheng Lian created SPARK-12934:
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Summary: Count-min sketch serialization
Key: SPARK-12934
URL: https://issues.apache.org/jira/browse/SPARK-12934
Project: Spark
Issue Type: Sub-task
Cheng Lian created SPARK-12938:
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Summary: Bloom filter DataFrame API integration
Key: SPARK-12938
URL: https://issues.apache.org/jira/browse/SPARK-12938
Project: Spark
Issue Type: Sub-task
Cheng Lian created SPARK-12937:
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Summary: Bloom filter serialization
Key: SPARK-12937
URL: https://issues.apache.org/jira/browse/SPARK-12937
Project: Spark
Issue Type: Sub-task
Cheng Lian created SPARK-12936:
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Summary: Initial bloom filter implementation
Key: SPARK-12936
URL: https://issues.apache.org/jira/browse/SPARK-12936
Project: Spark
Issue Type: Sub-task
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Cheng Lian updated SPARK-12937:
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Assignee: Wenchen Fan (was: Cheng Lian)
> Bloom filter serializat
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Cheng Lian resolved SPARK-12560.
Resolution: Fixed
Assignee: Imran Rashid
Resolved by https://github.com/apache/spark/pull
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Cheng Lian updated SPARK-12560:
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Fix Version/s: 2.0.0
> SqlTestUtils.stripSparkFilter needs to copy utf8stri
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Cheng Lian resolved SPARK-12867.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 10812
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Cheng Lian commented on SPARK-12867:
Thanks for helping! Go ahead, please. I'm assigning this to you
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Cheng Lian updated SPARK-12867:
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Assignee: Xiao Li
> Nullability of Intersect can be stric
Cheng Lian created SPARK-12867:
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Summary: Nullability of Intersect can be stricter
Key: SPARK-12867
URL: https://issues.apache.org/jira/browse/SPARK-12867
Project: Spark
Issue Type: Bug
You may try DataFrame.repartition(partitionExprs: Column*) to shuffle
all data belonging to a single (data) partition into a single (RDD)
partition:
|df.coalesce(1)|||.repartition("entity", "year", "month", "day",
"status")|.write.partitionBy("entity", "year", "month", "day",
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Cheng Lian commented on SPARK-12403:
Also, could you please provide the exact version number
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Cheng Lian reassigned SPARK-12724:
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Assignee: Cheng Lian
> SQL generation support for persisted data source relati
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Cheng Lian resolved SPARK-12724.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 10712
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Cheng Lian commented on SPARK-12403:
Hi [~lunendl], I wonder what kind of Hive metastore were you
.
Best,
Gavin
On Mon, Jan 11, 2016 at 4:31 PM, Cheng Lian <lian.cs@gmail.com
<mailto:lian.cs@gmail.com>> wrote:
Hey Gavin,
Could you please provide a snippet of your code to show how did
you disabled "parquet.enable.summary-metadata" and wrote th
Hey Gavin,
Could you please provide a snippet of your code to show how did you
disabled "parquet.enable.summary-metadata" and wrote the files?
Especially, you mentioned you saw "3000 jobs" failed. Were you writing
each Parquet file with an individual job? (Usually people use
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Cheng Lian updated SPARK-12742:
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Assignee: Fei Wang
> org.apache.spark.sql.hive.LogicalPlanToSQLSuite failure due to Table alre
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Cheng Lian resolved SPARK-12742.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 10682
[https
Cheng Lian created SPARK-12725:
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Summary: SQL generation suffers from name conficts introduced by
some analysis rules
Key: SPARK-12725
URL: https://issues.apache.org/jira/browse/SPARK-12725
Project
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Cheng Lian updated SPARK-12723:
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Description:
Ensure that all built-in expressions can be mapped to its SQL representation
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Cheng Lian updated SPARK-12725:
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Affects Version/s: 2.0.0
Target Version/s: 2.0.0
> SQL generation suffers from name confi
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Cheng Lian updated SPARK-12728:
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Affects Version/s: 2.0.0
Target Version/s: 2.0.0
> Integrate SQL generation feature with nat
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Cheng Lian updated SPARK-12727:
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Affects Version/s: 2.0.0
Target Version/s: 2.0.0
> SQL generation support for disti
Cheng Lian created SPARK-12720:
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Summary: SQL generation support for cube, rollup, and grouping set
Key: SPARK-12720
URL: https://issues.apache.org/jira/browse/SPARK-12720
Project: Spark
Issue
Cheng Lian created SPARK-12721:
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Summary: SQL generation support for script transformation
Key: SPARK-12721
URL: https://issues.apache.org/jira/browse/SPARK-12721
Project: Spark
Issue Type: Sub
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Cheng Lian commented on SPARK-11012:
Done.
> Canonicalize view definiti
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Cheng Lian updated SPARK-11012:
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Affects Version/s: 2.0.0
Target Version/s: 2.0.0
> Canonicalize view definiti
Cheng Lian created SPARK-12728:
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Summary: Integrate SQL generation feature with native view
Key: SPARK-12728
URL: https://issues.apache.org/jira/browse/SPARK-12728
Project: Spark
Issue Type
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Cheng Lian updated SPARK-12718:
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Affects Version/s: 2.0.0
Target Version/s: 2.0.0
> SQL generation support for window functi
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Cheng Lian updated SPARK-12720:
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Affects Version/s: 2.0.0
Target Version/s: 2.0.0
> SQL generation support for cube, rol
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Cheng Lian updated SPARK-12719:
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Affects Version/s: 2.0.0
Target Version/s: 2.0.0
> SQL generation support for generat
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Cheng Lian updated SPARK-12726:
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Description: (I hit this issue while working on SPARK-12593, but haven't
got time to investigate
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Cheng Lian updated SPARK-12723:
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Description:
Ensure that all built-in expressions can be mapped to its SQL representation
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Cheng Lian updated SPARK-12723:
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Description:
Ensure that all built-in expressions can be mapped to its SQL representation
Cheng Lian created SPARK-12727:
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Summary: SQL generation support for distinct aggregation patterns
that fit DistinctAggregationRewriter analysis rule
Key: SPARK-12727
URL: https://issues.apache.org/jira/browse/SPARK
Cheng Lian created SPARK-12718:
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Summary: SQL generation support for window functions
Key: SPARK-12718
URL: https://issues.apache.org/jira/browse/SPARK-12718
Project: Spark
Issue Type: Sub-task
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Cheng Lian updated SPARK-12593:
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Summary: Convert basic resolved logical plans back to SQL query strings
(was: Convert resolved
Cheng Lian created SPARK-12719:
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Summary: SQL generation support for generators (including UDTF)
Key: SPARK-12719
URL: https://issues.apache.org/jira/browse/SPARK-12719
Project: Spark
Issue
Cheng Lian created SPARK-12724:
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Summary: SQL generation support for persisted data source relations
Key: SPARK-12724
URL: https://issues.apache.org/jira/browse/SPARK-12724
Project: Spark
Issue
Cheng Lian created SPARK-12723:
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Summary: Comprehensive SQL generation support for expressions
Key: SPARK-12723
URL: https://issues.apache.org/jira/browse/SPARK-12723
Project: Spark
Issue Type
Cheng Lian created SPARK-12726:
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Summary: ParquetConversions doesn't always propagate metastore
table identifier to ParquetRelation
Key: SPARK-12726
URL: https://issues.apache.org/jira/browse/SPARK-12726
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Cheng Lian updated SPARK-12721:
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Affects Version/s: 2.0.0
Target Version/s: 2.0.0
> SQL generation support for scr
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Cheng Lian updated SPARK-12723:
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Affects Version/s: 2.0.0
Target Version/s: 2.0.0
> Comprehensive SQL generation supp
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Cheng Lian updated SPARK-12724:
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Affects Version/s: 2.0.0
Target Version/s: 2.0.0
> SQL generation support for persisted d
Cheng Lian created SPARK-12593:
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Summary: Convert resolved logical plans back to SQL query strings
Key: SPARK-12593
URL: https://issues.apache.org/jira/browse/SPARK-12593
Project: Spark
Issue
Cheng Lian created SPARK-12592:
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Summary: TestHive.reset hides Spark testing logs
Key: SPARK-12592
URL: https://issues.apache.org/jira/browse/SPARK-12592
Project: Spark
Issue Type: Test
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Cheng Lian commented on SPARK-5948:
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It's the HadoopFsRelation based Parquet data source
+1
On 12/23/15 12:39 PM, Yin Huai wrote:
+1
On Tue, Dec 22, 2015 at 8:10 PM, Denny Lee > wrote:
+1
On Tue, Dec 22, 2015 at 7:05 PM Aaron Davidson > wrote:
+1
On
Cheng Lian created SPARK-12498:
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Summary: BooleanSimplification cleanup
Key: SPARK-12498
URL: https://issues.apache.org/jira/browse/SPARK-12498
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-12478?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15069044#comment-15069044
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Cheng Lian commented on SPARK-12478:
I'm leaving this ticket open since we also need to backport
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Cheng Lian updated SPARK-12478:
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Labels: backport-needed (was: )
> Dataset fields of product types can't be n
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https://issues.apache.org/jira/browse/SPARK-11164?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian resolved SPARK-11164.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 10278
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Cheng Lian updated SPARK-11164:
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Assignee: Xiao Li
> Add InSet pushdown filter back for Parq
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Cheng Lian updated SPARK-12478:
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Summary: Dataset fields of product types can't be null (was: Dataset
fields whose types are case
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Cheng Lian updated SPARK-12478:
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Summary: Dataset fields whose types are case classs can't be null (was:
Top level case class field
Cheng Lian created SPARK-12478:
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Summary: Top level case class field of a Dataset can't be null
Key: SPARK-12478
URL: https://issues.apache.org/jira/browse/SPARK-12478
Project: Spark
Issue Type
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