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Zhenhua Wang updated SPARK-21031:
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Summary: Add `alterTableStats` to store spark's stats and let `alterTable`
keep existing stats
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Zhenhua Wang updated SPARK-21031:
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Description:
Currently, hive's stats are read into `CatalogStatistics`, while spark's stats
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Apache Spark reassigned SPARK-20953:
Assignee: (was: Apache Spark)
> Add hash map metrics to aggregate and join
>
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Apache Spark commented on SPARK-20953:
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User 'viirya' has created a pull request for this issue:
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Apache Spark reassigned SPARK-20953:
Assignee: Apache Spark
> Add hash map metrics to aggregate and join
>
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lida commented on SPARK-12009:
--
AsynchronousListenerBus class
def post(event: E) {
if (stopped.get) {
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Wenchen Fan commented on SPARK-17642:
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yea let's revisit
> support DESC FORMATTED TABLE COLUMN
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Dongjoon Hyun updated SPARK-21044:
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Description:
This issue aims to add an optimizer remove invalid `Range` operator from the
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Apache Spark reassigned SPARK-21041:
Assignee: (was: Apache Spark)
> With whole-stage codegen, SparkSession.range()'s
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Apache Spark reassigned SPARK-21041:
Assignee: Apache Spark
> With whole-stage codegen, SparkSession.range()'s behavior is
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Apache Spark reassigned SPARK-21044:
Assignee: Apache Spark
> Add `RemoveInvalidRange` optimizer
>
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Apache Spark commented on SPARK-21044:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark reassigned SPARK-21044:
Assignee: (was: Apache Spark)
> Add `RemoveInvalidRange` optimizer
>
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Apache Spark commented on SPARK-21041:
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User 'dongjoon-hyun' has created a pull request for this
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Dongjoon Hyun commented on SPARK-21041:
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Although this is a correctness issue, this is not a
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Dongjoon Hyun updated SPARK-21041:
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Affects Version/s: 2.0.2
> With whole-stage codegen, SparkSession.range()'s behavior is
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Dongjoon Hyun updated SPARK-21041:
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Affects Version/s: 2.1.1
> With whole-stage codegen, SparkSession.range()'s behavior is
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Dongjoon Hyun updated SPARK-21044:
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Description:
This issue aims to add an optimizer remove invalid `Range` operator from the
Dongjoon Hyun created SPARK-21044:
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Summary: Add `RemoveInvalidRange` optimizer
Key: SPARK-21044
URL: https://issues.apache.org/jira/browse/SPARK-21044
Project: Spark
Issue Type: Improvement
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Reynold Xin updated SPARK-21043:
Description:
It would be useful to add unionByName which resolves columns by name, in
addition to
Reynold Xin created SPARK-21043:
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Summary: Add unionByName API to Dataset
Key: SPARK-21043
URL: https://issues.apache.org/jira/browse/SPARK-21043
Project: Spark
Issue Type: New Feature
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Reynold Xin resolved SPARK-21042.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.1
> Document Dataset.union
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Dongjoon Hyun commented on SPARK-21041:
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I'll make a PR for this.
> With whole-stage codegen,
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Dongjoon Hyun commented on SPARK-19360:
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Sorry, I'm not sure for this, too.
> Spark 2.X does not
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Dayou Zhou commented on SPARK-19360:
[~dongjoon] is it possible to get a fix for this? Thanks.
>
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Ajay Saini updated SPARK-21028:
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Description: Right now the Scala implementation of the one vs. rest
algorithm allows for parallelism
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Ajay Saini commented on SPARK-21027:
Yup! Modified the Scala ticket to indicate the necessity of
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Joseph K. Bradley commented on SPARK-21027:
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One other comment: The Scala implementation can be
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Apache Spark commented on SPARK-21042:
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User 'rxin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-21042:
Assignee: Reynold Xin (was: Apache Spark)
> Document Dataset.union is resolution by
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Apache Spark reassigned SPARK-21042:
Assignee: Apache Spark (was: Reynold Xin)
> Document Dataset.union is resolution by
Reynold Xin created SPARK-21042:
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Summary: Document Dataset.union is resolution by position, not name
Key: SPARK-21042
URL: https://issues.apache.org/jira/browse/SPARK-21042
Project: Spark
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Dongjoon Hyun edited comment on SPARK-21041 at 6/9/17 11:02 PM:
Yep. It
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Dongjoon Hyun commented on SPARK-21041:
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Yep. It looks like the generated code has a logical bug on
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Zhenhua Wang commented on SPARK-17642:
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[~smilegator] [~cloud_fan] Shall we revisit the pr and see
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Dongjoon Hyun commented on SPARK-21041:
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Oh, interesting. I'll take a look. [~rednaxelafx].
> With
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Kris Mok updated SPARK-21041:
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Description:
When whole-stage codegen is enabled, in face of integer overflow,
SparkSession.range()'s
Kris Mok created SPARK-21041:
Summary: With whole-stage codegen, SparkSession.range()'s behavior
is inconsistent with SparkContext.range()
Key: SPARK-21041
URL: https://issues.apache.org/jira/browse/SPARK-21041
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Apache Spark commented on SPARK-21038:
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User 'rednaxelafx' has created a pull request for this
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Charles Allen commented on SPARK-19552:
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This is starting to show problems on our side due to
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Apache Spark reassigned SPARK-21038:
Assignee: Apache Spark
> Reduce redundant generated init code in Catalyst codegen
>
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Apache Spark reassigned SPARK-21038:
Assignee: (was: Apache Spark)
> Reduce redundant generated init code in Catalyst
holdenk created SPARK-21040:
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Summary: On executor/worker decommission consider speculatively
re-launching current tasks
Key: SPARK-21040
URL: https://issues.apache.org/jira/browse/SPARK-21040
Project:
Lovasoa created SPARK-21039:
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Summary: Use treeAggregate instead of aggregate in
DataFrame.stat.bloomFilter
Key: SPARK-21039
URL: https://issues.apache.org/jira/browse/SPARK-21039
Project: Spark
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Sean Owen commented on SPARK-19552:
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[~rabbitonweb] [~leventov] go ahead and make the changes to make
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Ajay Saini commented on SPARK-21027:
Modified the description to include a description of the
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Roman Leventov commented on SPARK-19552:
[~rabbitonweb] +1, this is a very annoying
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Ajay Saini updated SPARK-21027:
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Description:
Currently, the Scala implementation of OneVsRest allows the user to run a
parallel
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Apache Spark commented on SPARK-18838:
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User 'bOOm-X' has created a pull request for this issue:
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Sean Owen commented on SPARK-21038:
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I double-checked, and yes you're right that initializing a field
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Maria commented on SPARK-17642:
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@gatorsmile,
I'm evaluating CBO in Spark and I'm missing this feature.
Kris Mok created SPARK-21038:
Summary: Reduce redundant generated init code in Catalyst codegen
Key: SPARK-21038
URL: https://issues.apache.org/jira/browse/SPARK-21038
Project: Spark
Issue Type:
Stanislav Chernichkin created SPARK-21037:
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Summary: ignoreNulls does not working properly with window
functions
Key: SPARK-21037
URL: https://issues.apache.org/jira/browse/SPARK-21037
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Sean Owen resolved SPARK-20987.
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Resolution: Duplicate
> columns with name having dots caused issues with VectorAssemblor
>
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Sean Owen resolved SPARK-20662.
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Resolution: Won't Fix
> Block jobs that have greater than a configured number of tasks
>
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Shixiong Zhu updated SPARK-21029:
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Issue Type: Improvement (was: Bug)
> All StreamingQuery should be stopped when the SparkSession
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Wenchen Fan resolved SPARK-20918.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 18142
Talat UYARER created SPARK-21036:
Summary: Truncate action and writes should be in one transaction.
Key: SPARK-21036
URL: https://issues.apache.org/jira/browse/SPARK-21036
Project: Spark
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Ilyes Hachani commented on SPARK-12606:
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Any update on this?
I am using Java and extending the
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Steven Landes closed SPARK-21011.
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Resolution: Cannot Reproduce
My bad, apparently somehow some user managed to get a backspace
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Sean Owen resolved SPARK-21025.
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Resolution: Not A Problem
Different bug, but still a bug in your code. Please don't reopen this as a
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Sean Owen closed SPARK-21025.
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> missing data in jsc.union
> -
>
> Key: SPARK-21025
>
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Sean Owen reassigned SPARK-20997:
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Assignee: guoxiaolongzte
> spark-submit's --driver-cores marked as "YARN-only" but listed under
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Sean Owen resolved SPARK-20997.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 18241
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Nassir commented on SPARK-20696:
This appears to be a problem with the implementation of K-means
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Yuming Wang commented on SPARK-21032:
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Do we really need these functions?
{code:sql}
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Apache Spark commented on SPARK-17914:
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User 'aokolnychyi' has created a pull request for this
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Apache Spark reassigned SPARK-17914:
Assignee: (was: Apache Spark)
> Spark SQL casting to TimestampType with nanosecond
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Apache Spark reassigned SPARK-17914:
Assignee: Apache Spark
> Spark SQL casting to TimestampType with nanosecond results in
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吴志龙 commented on SPARK-21035:
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Can you tell that specific topic?
> support spark-sql on yarn cluser
>
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吴志龙 edited comment on SPARK-21035 at 6/9/17 10:48 AM:
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Can you tell me that specific
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Mohit edited comment on SPARK-20998 at 6/9/17 10:30 AM:
It was observed that this
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Mohit closed SPARK-20998.
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Resolution: Fixed
This has already been fixed in 2.1.0 onwards
> BroadcastHashJoin producing wrong results
>
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Mohit updated SPARK-20998:
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Fix Version/s: 2.1.0
> BroadcastHashJoin producing wrong results
> -
>
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Mohit commented on SPARK-20998:
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The issue seems to be fixed in . 2.1.0. I shall close this with Fix
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Sean Owen resolved SPARK-21035.
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Resolution: Invalid
This sounds like a topic to discuss on a mailing list
> support spark-sql on
吴志龙 created SPARK-21035:
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Summary: support spark-sql on yarn cluser
Key: SPARK-21035
URL: https://issues.apache.org/jira/browse/SPARK-21035
Project: Spark
Issue Type: Wish
Components: SQL
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Sean Owen resolved SPARK-21026.
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Resolution: Invalid
This is a question for the mailing list but docs/README.md probably answers this
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Apache Spark reassigned SPARK-21033:
Assignee: Apache Spark (was: Wenchen Fan)
> fix the potential OOM in
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Apache Spark commented on SPARK-21033:
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User 'cloud-fan' has created a pull request for this issue:
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Apache Spark reassigned SPARK-21033:
Assignee: Wenchen Fan (was: Apache Spark)
> fix the potential OOM in
Abhijit Bhole created SPARK-21034:
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Summary: Filter not getting pushed down the groupBy clause when
first() or last() aggregate function is used
Key: SPARK-21034
URL:
Wenchen Fan created SPARK-21033:
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Summary: fix the potential OOM in UnsafeExternalSorter
Key: SPARK-21033
URL: https://issues.apache.org/jira/browse/SPARK-21033
Project: Spark
Issue Type: Bug
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Sean Owen resolved SPARK-20995.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 18212
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Sean Owen reassigned SPARK-20995:
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Assignee: guoxiaolongzte
> 'Spark-env.sh.template' should add 'YARN_CONF_DIR' configuration
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Sean Owen resolved SPARK-14408.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 18198
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Sean Owen commented on SPARK-21027:
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I don't see a reason for multiple JIRAs. Parallel in what sense? I
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Sean Owen resolved SPARK-21028.
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Resolution: Duplicate
> Parallel One vs. Rest Classifier Scala
>
darion yaphet created SPARK-21032:
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Summary: Support add_years and add_days functions
Key: SPARK-21032
URL: https://issues.apache.org/jira/browse/SPARK-21032
Project: Spark
Issue Type: New
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https://issues.apache.org/jira/browse/SPARK-21024?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21024:
Assignee: Apache Spark
> CSV parse mode handles Univocity parser exceptions
>
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https://issues.apache.org/jira/browse/SPARK-21024?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21024:
Assignee: (was: Apache Spark)
> CSV parse mode handles Univocity parser exceptions
>
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https://issues.apache.org/jira/browse/SPARK-21024?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16044077#comment-16044077
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Apache Spark commented on SPARK-21024:
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User 'maropu' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-19937?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16044075#comment-16044075
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Apache Spark commented on SPARK-19937:
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User 'jinxing64' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-21024?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16044052#comment-16044052
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Takeshi Yamamuro commented on SPARK-21024:
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Thanks! I'll open a new pr later.
> CSV parse mode
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https://issues.apache.org/jira/browse/SPARK-21031?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Zhenhua Wang updated SPARK-21031:
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Description:
Currently, hive's stats are read into `CatalogStatistics`, while spark's stats
are
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https://issues.apache.org/jira/browse/SPARK-21031?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21031:
Assignee: (was: Apache Spark)
> Clearly separate hive stats and spark stats in
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https://issues.apache.org/jira/browse/SPARK-21031?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16044009#comment-16044009
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Apache Spark commented on SPARK-21031:
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User 'wzhfy' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-21031?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21031:
Assignee: Apache Spark
> Clearly separate hive stats and spark stats in catalog
>
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https://issues.apache.org/jira/browse/SPARK-21031?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Zhenhua Wang updated SPARK-21031:
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Description:
Currently, hive's stats are read into `CatalogStatistics`, while spark's stats
Zhenhua Wang created SPARK-21031:
Summary: Clearly separate hive stats and spark stats in catalog
Key: SPARK-21031
URL: https://issues.apache.org/jira/browse/SPARK-21031
Project: Spark
Issue
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