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Sean Owen commented on SPARK-15790:
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[~ehsun7b] you're welcome to look for any public methods without
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Hyukjin Kwon commented on SPARK-19885:
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Thank you for cc'ing me. Up to my knowledge, {{LineReader}}
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Wenchen Fan updated SPARK-19893:
Summary: Cannot run intersect/except/distinct with map type (was: Cannot
run intersect/except
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Hyukjin Kwon commented on SPARK-19885:
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Also, we recently introduced reading a CSV from text
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Apache Spark commented on SPARK-17080:
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User 'wzhfy' has created a pull request for this issue:
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Apache Spark reassigned SPARK-19901:
Assignee: Apache Spark
> Clean up the clunky method signature of acquireMemory
>
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Apache Spark reassigned SPARK-19901:
Assignee: (was: Apache Spark)
> Clean up the clunky method signature of acquireMemory
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Sean Owen commented on SPARK-19901:
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I don't see a problem statement here or why that's an improvement.
Liang-Chi Hsieh created SPARK-19902:
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Summary: Support more expression canonicalization: Add, Subtract,
Multiply and Divide
Key: SPARK-19902
URL: https://issues.apache.org/jira/browse/SPARK-19902
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Apache Spark commented on SPARK-19902:
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User 'viirya' has created a pull request for this issue:
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Sergey updated SPARK-19900:
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Description:
I've found some problems when node, where driver is running, has unstable
network. A situation
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Apache Spark commented on SPARK-19901:
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User 'ConeyLiu' has created a pull request for this issue:
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Maciej Szymkiewicz updated SPARK-19899:
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Description:
Current implementation extends {{HasFeaturesCol}}. Personally I find it
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Apache Spark reassigned SPARK-19889:
Assignee: Apache Spark
> Make TaskContext callbacks synchronized
>
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Apache Spark commented on SPARK-19889:
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User 'hvanhovell' has created a pull request for this issue:
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Apache Spark reassigned SPARK-19889:
Assignee: (was: Apache Spark)
> Make TaskContext callbacks synchronized
>
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Herman van Hovell updated SPARK-19889:
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Summary: Make TaskContext callbacks synchronized (was: Make TaskContext
synchronized)
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Apache Spark reassigned SPARK-19902:
Assignee: (was: Apache Spark)
> Support more expression canonicalization: Add,
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Apache Spark reassigned SPARK-19902:
Assignee: Apache Spark
> Support more expression canonicalization: Add, Subtract,
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Sean Owen commented on SPARK-19802:
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Yeah, I am not sure that the refactoring and change that would be
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Thomas Graves commented on SPARK-19143:
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Made some comments in the design doc.
My original idea
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Herman van Hovell updated SPARK-19889:
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Description: In some cases you want to fork of some part of a task to a
different
coneyliu created SPARK-19901:
Summary: Clean up the clunky method signature of acquireMemory
Key: SPARK-19901
URL: https://issues.apache.org/jira/browse/SPARK-19901
Project: Spark
Issue Type:
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Sean Owen resolved SPARK-19821.
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Resolution: Not A Problem
> Throw out the Read-only disk information when create file for Shuffle
>
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coneyliu commented on SPARK-19901:
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Hi [~srowen], this patch is used to streamline the method signature,
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Thomas Graves edited comment on SPARK-19143 at 3/10/17 3:20 PM:
Made some
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Herman van Hovell resolved SPARK-19786.
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Resolution: Fixed
Assignee: Kazuaki Ishizaki
Fix Version/s: 2.2.0
>
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yuhao yang commented on SPARK-19899:
Thanks for the reply. We can wait for some time to see if people
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Cheng Lian updated SPARK-19887:
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Description:
The following Spark shell snippet under Spark 2.1 reproduces this issue:
{code}
val
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Yin Huai resolved SPARK-19620.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 16952
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Sean Owen closed SPARK-19907.
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> Spark Submit Does not pick up the HBase Jars
>
>
>
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Wenchen Fan updated SPARK-19893:
Summary: should not run DataFrame set oprations with map type (was: Cannot
run
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Apache Spark commented on SPARK-14453:
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User 'yongtang' has created a pull request for this issue:
Tyson Condie created SPARK-19906:
Summary: Add Documentation for Kafka Write paths
Key: SPARK-19906
URL: https://issues.apache.org/jira/browse/SPARK-19906
Project: Spark
Issue Type:
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Cheng Lian updated SPARK-19887:
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Description:
The following Spark shell snippet under Spark 2.1 reproduces this issue:
{code}
val
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Wenchen Fan commented on SPARK-19885:
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Oh, so this issue is already fixed by SPARK-18362 in Spark 2.2
Cheng Lian created SPARK-19905:
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Summary: Dataset.inputFiles is broken for Hive SerDe tables
Key: SPARK-19905
URL: https://issues.apache.org/jira/browse/SPARK-19905
Project: Spark
Issue Type:
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Wenchen Fan resolved SPARK-19885.
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Resolution: Fixed
Fix Version/s: 2.2.0
> The config ignoreCorruptFiles doesn't work for
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Yin Huai reassigned SPARK-19620:
Assignee: Carson Wang
> Incorrect exchange coordinator Id in physical plan
>
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Sean Owen resolved SPARK-19907.
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Resolution: Invalid
Target Version/s: (was: 2.0.0)
A huge dump of your config and logs
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yuhao yang commented on SPARK-19899:
{quote}
if we mix-in HasFeaturesCol the featuresCol should be
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Maciej Szymkiewicz commented on SPARK-19899:
This is just an idea, but I would start with:
-
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yuhao yang commented on SPARK-19899:
also cc [~podongfeng] since I recalled he mentioned to use
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Apache Spark commented on SPARK-19906:
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User 'tcondie' has created a pull request for this issue:
Ramchandhar Rapolu created SPARK-19907:
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Summary: Spark Submit Does not pick up the HBase Jars
Key: SPARK-19907
URL: https://issues.apache.org/jira/browse/SPARK-19907
Project: Spark
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Apache Spark reassigned SPARK-19906:
Assignee: (was: Apache Spark)
> Add Documentation for Kafka Write paths
>
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Apache Spark reassigned SPARK-19906:
Assignee: Apache Spark
> Add Documentation for Kafka Write paths
>
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Sergey updated SPARK-19900:
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Description:
I've found some problems when node, where driver is running, has unstable
network. A situation
Piotr Nestorow created SPARK-19903:
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Summary: PySpark Kafka streaming query ouput append mode not
possible
Key: SPARK-19903
URL: https://issues.apache.org/jira/browse/SPARK-19903
Project: Spark
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Apache Spark commented on SPARK-19850:
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User 'hvanhovell' has created a pull request for this issue:
Cody Koeninger created SPARK-19904:
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Summary: SPIP Add Spark Project Improvement Proposal doc to website
Key: SPARK-19904
URL: https://issues.apache.org/jira/browse/SPARK-19904
Project: Spark
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yuhao yang commented on SPARK-19899:
Thanks for the suggestion. I'm neutral on this. Not sure if we
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Maciej Szymkiewicz commented on SPARK-19899:
In my opinion a trait for each input category
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Apache Spark reassigned SPARK-19850:
Assignee: Herman van Hovell (was: Apache Spark)
> Support aliased expressions in
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Apache Spark reassigned SPARK-19850:
Assignee: Apache Spark (was: Herman van Hovell)
> Support aliased expressions in
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Hyukjin Kwon resolved SPARK-18270.
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Resolution: Duplicate
I am resolving this as a duplicate of SPARK-16472. Please reopen this if
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Shixiong Zhu edited comment on SPARK-18057 at 3/10/17 9:21 PM:
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I did some
Adam Budde created SPARK-19911:
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Summary: Add builder interface for Kinesis DStreams
Key: SPARK-19911
URL: https://issues.apache.org/jira/browse/SPARK-19911
Project: Spark
Issue Type: New
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Marcelo Vanzin resolved SPARK-17979.
Resolution: Fixed
Assignee: Yong Tang
Fix Version/s: 2.2.0
> Remove
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Marcelo Vanzin resolved SPARK-14453.
Resolution: Fixed
Assignee: Yong Tang
Fix Version/s: 2.2.0
> Remove
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Shixiong Zhu edited comment on SPARK-18057 at 3/10/17 9:21 PM:
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I did some
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Shixiong Zhu commented on SPARK-18057:
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I did some investigation yesterday, and found one issue in
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Cody Koeninger commented on SPARK-19888:
That stacktrace also shows a concurrent modification
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Cody Koeninger commented on SPARK-18057:
I think the bigger question is once there's a kafka
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Cody Koeninger commented on SPARK-18057:
Based on previous kafka client upgrades I wouldn't
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Cheng Lian updated SPARK-19887:
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Affects Version/s: 2.2.0
> __HIVE_DEFAULT_PARTITION__ is not interpreted as NULL partition value in
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Apache Spark commented on SPARK-19611:
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User 'budde' has created a pull request for this issue:
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Apache Spark commented on SPARK-19911:
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User 'budde' has created a pull request for this issue:
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Apache Spark reassigned SPARK-19911:
Assignee: (was: Apache Spark)
> Add builder interface for Kinesis DStreams
>
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Apache Spark reassigned SPARK-19911:
Assignee: Apache Spark
> Add builder interface for Kinesis DStreams
>
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Michael Armbrust commented on SPARK-18057:
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It seems like we can upgrade the existing Kafka10
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Apache Spark commented on SPARK-19910:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark reassigned SPARK-19910:
Assignee: Apache Spark
> `stack` should not reject NULL values due to type mismatch
>
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Apache Spark reassigned SPARK-19910:
Assignee: (was: Apache Spark)
> `stack` should not reject NULL values due to type
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Maciej Szymkiewicz commented on SPARK-19899:
Thanks [~yuhaoyan].
> FPGrowth input column
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Cody Koeninger commented on SPARK-19863:
Isn't this basically a duplicate of
SPARK-19185
with the
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Apache Spark commented on SPARK-19905:
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User 'liancheng' has created a pull request for this issue:
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Apache Spark reassigned SPARK-19905:
Assignee: Apache Spark (was: Cheng Lian)
> Dataset.inputFiles is broken for Hive SerDe
Kousuke Saruta created SPARK-19909:
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Summary: Batches will fail in case that temporary checkpoint dir
is on local file system while metadata dir is on HDFS
Key: SPARK-19909
URL:
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Apache Spark commented on SPARK-19909:
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User 'sarutak' has created a pull request for this issue:
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Apache Spark reassigned SPARK-19909:
Assignee: (was: Apache Spark)
> Batches will fail in case that temporary checkpoint
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Cody Koeninger updated SPARK-19904:
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Description:
see
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Apache Spark reassigned SPARK-19909:
Assignee: Apache Spark
> Batches will fail in case that temporary checkpoint dir is on
Zhan Zhang created SPARK-19908:
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Summary: Direct buffer memory OOM should not cause stage retries.
Key: SPARK-19908
URL: https://issues.apache.org/jira/browse/SPARK-19908
Project: Spark
Issue
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Apache Spark reassigned SPARK-19905:
Assignee: Cheng Lian (was: Apache Spark)
> Dataset.inputFiles is broken for Hive SerDe
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Michael Armbrust updated SPARK-19888:
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Component/s: (was: Spark Core)
DStreams
> Seeing offsets not
Dongjoon Hyun created SPARK-19910:
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Summary: `stack` should not reject NULL values due to type mismatch
Key: SPARK-19910
URL: https://issues.apache.org/jira/browse/SPARK-19910
Project: Spark
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Wenchen Fan resolved SPARK-19905.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 17247
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Apache Spark reassigned SPARK-19913:
Assignee: (was: Apache Spark)
> Log warning rather than throw AnalysisException when
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Wenchen Fan resolved SPARK-19893.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
2.0.3
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https://issues.apache.org/jira/browse/SPARK-19611?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan updated SPARK-19611:
Fix Version/s: 2.1.1
> Spark 2.1.0 breaks some Hive tables backed by case-sensitive data files
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https://issues.apache.org/jira/browse/SPARK-19912?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-19912:
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Description:
{{Shim_v0_13.convertFilters()}} doesn't escape string literals while generating
Hive
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https://issues.apache.org/jira/browse/SPARK-19913?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15905904#comment-15905904
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Apache Spark commented on SPARK-19913:
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User 'sarutak' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-19913?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19913:
Assignee: Apache Spark
> Log warning rather than throw AnalysisException when output is
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https://issues.apache.org/jira/browse/SPARK-19887?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-19887:
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Labels: correctness (was: )
> __HIVE_DEFAULT_PARTITION__ is not interpreted as NULL partition value
Cheng Lian created SPARK-19912:
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Summary: String literals are not escaped while performing
partition pruning at Hive metastore level
Key: SPARK-19912
URL: https://issues.apache.org/jira/browse/SPARK-19912
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https://issues.apache.org/jira/browse/SPARK-19912?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-19912:
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Summary: String literals are not escaped while performing Hive metastore
level partition pruning
Kousuke Saruta created SPARK-19913:
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Summary: Log warning rather than throw AnalysisException when
output is partitioned although format is memory, console or foreach
Key: SPARK-19913
URL:
Yifeng Li created SPARK-19914:
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Summary: Spark Scala - Calling persist after reading a parquet
file makes certain spark.sql queries return empty results
Key: SPARK-19914
URL:
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https://issues.apache.org/jira/browse/SPARK-14503?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15905840#comment-15905840
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Maciej Szymkiewicz commented on SPARK-14503:
I think we should keep only unique predictions
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