Tommy Yu created SPARK-18001:
Summary: Broke link to R DataFrame In sql-programming-guide
Key: SPARK-18001
URL: https://issues.apache.org/jira/browse/SPARK-18001
Project: Spark
Issue Type: Bug
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Dongjoon Hyun commented on SPARK-17982:
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Hi, [~jiangxb].
I think Spark supports that like MySQL
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Reynold Xin updated SPARK-18001:
Assignee: Tommy Yu
> Broke link to R DataFrame In sql-programming-guide
>
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Reynold Xin resolved SPARK-18001.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.2
> Broke link to R
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Dongjoon Hyun commented on SPARK-16559:
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Hi, [~smilegator].
It seems to be resolved in your PR,
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Apache Spark reassigned SPARK-17999:
Assignee: (was: Apache Spark)
> Add getPreferredLocations for KafkaSourceRDD
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Apache Spark reassigned SPARK-17997:
Assignee: (was: Apache Spark)
> Aggregation function for counting distinct values for
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Apache Spark reassigned SPARK-17999:
Assignee: Apache Spark
> Add getPreferredLocations for KafkaSourceRDD
>
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Apache Spark commented on SPARK-17892:
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User 'dongjoon-hyun' has created a pull request for this
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Saikat Kanjilal edited comment on SPARK-9487 at 10/19/16 4:24 AM:
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Saikat Kanjilal edited comment on SPARK-9487 at 10/19/16 4:24 AM:
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Saikat Kanjilal commented on SPARK-9487:
[~holdenk] finally getting time to look at this, so I am
Weichen Xu created SPARK-18003:
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Summary: RDD zipWithIndex generate wrong result when one partition
contains more than 2147483647 records.
Key: SPARK-18003
URL: https://issues.apache.org/jira/browse/SPARK-18003
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Dongjoon Hyun commented on SPARK-17982:
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Hi, [~tafra...@gmail.com].
I made a PR for you. It handles
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Mario Briggs commented on SPARK-17630:
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[~zsxwing] thanks much. any pointers on how/where to add
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Apache Spark reassigned SPARK-18003:
Assignee: Apache Spark
> RDD zipWithIndex generate wrong result when one partition
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Apache Spark reassigned SPARK-18003:
Assignee: (was: Apache Spark)
> RDD zipWithIndex generate wrong result when one
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Zhenhua Wang updated SPARK-17074:
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Description:
We support two kinds of histograms:
- Equi-width histogram: We have a fixed
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Apache Spark reassigned SPARK-18002:
Assignee: Apache Spark
> Prune unnecessary IsNotNull predicates from Filter
>
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Apache Spark reassigned SPARK-18002:
Assignee: (was: Apache Spark)
> Prune unnecessary IsNotNull predicates from Filter
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Apache Spark commented on SPARK-17985:
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User 'ueshin' has created a pull request for this issue:
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Apache Spark commented on SPARK-18002:
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User 'viirya' has created a pull request for this issue:
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Saikat Kanjilal updated SPARK-9487:
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Attachment: ContextCleanerSuiteResults
> Use the same num. worker threads in Scala/Python
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Apache Spark commented on SPARK-18003:
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User 'WeichenXu123' has created a pull request for this
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Weichen Xu updated SPARK-18003:
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Component/s: Spark Core
> RDD zipWithIndex generate wrong result when one partition contains more
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Apache Spark reassigned SPARK-17982:
Assignee: Apache Spark
> Spark 2.0.0 CREATE VIEW statement fails ::
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Dongjoon Hyun commented on SPARK-17892:
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Sorry. It's my mistake.
> Query in CTAS is Optimized
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Apache Spark commented on SPARK-17982:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark reassigned SPARK-17982:
Assignee: (was: Apache Spark)
> Spark 2.0.0 CREATE VIEW statement fails ::
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Saikat Kanjilal updated SPARK-9487:
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Attachment: HeartbeatReceiverSuiteResults
> Use the same num. worker threads in Scala/Python
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Xiao Li reassigned SPARK-16559:
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Assignee: Xiao Li
> Got java.lang.ArithmeticException when Num of Buckets is Set to Zero
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Weichen Xu updated SPARK-18003:
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Description:
RDD zipWithIndex generate wrong result when one partition contains more than
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Xiao Li resolved SPARK-16559.
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Resolution: Fixed
> Got java.lang.ArithmeticException when Num of Buckets is Set to Zero
>
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Xiao Li commented on SPARK-16559:
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Yeah, resolved.
> Got java.lang.ArithmeticException when Num of
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Yin Huai updated SPARK-17873:
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Assignee: Wenchen Fan (was: Apache Spark)
> ALTER TABLE ... RENAME TO ... should allow users to specify
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Yin Huai resolved SPARK-17873.
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Resolution: Fixed
Fix Version/s: 2.1.0
This issue has been resolved by
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bo song commented on SPARK-17987:
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There is a common case in cross validation, suppose f1 is a
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Apache Spark reassigned SPARK-17997:
Assignee: Apache Spark
> Aggregation function for counting distinct values for multiple
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Apache Spark commented on SPARK-17997:
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User 'wzhfy' has created a pull request for this issue:
Liang-Chi Hsieh created SPARK-18002:
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Summary: Prune unnecessary IsNotNull predicates from Filter
Key: SPARK-18002
URL: https://issues.apache.org/jira/browse/SPARK-18002
Project: Spark
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Jiang Xingbo commented on SPARK-17982:
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You are right, just made a mistake. Sorry for that!
> Spark
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Apache Spark reassigned SPARK-18001:
Assignee: (was: Apache Spark)
> Broke link to R DataFrame In sql-programming-guide
>
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Apache Spark commented on SPARK-18001:
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User 'Wenpei' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18001:
Assignee: Apache Spark
> Broke link to R DataFrame In sql-programming-guide
>
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Xiangrui Meng commented on SPARK-14393:
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This is a bigger issue. It would happen with
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cobb xia updated SPARK-17988:
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Description:
includePackage not included in /pkg/NAMESPACE ,so it could not be seen in
sparkR,when
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Sean Owen resolved SPARK-17988.
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Resolution: Invalid
See https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark and
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Apache Spark commented on SPARK-17731:
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User 'tdas' has created a pull request for this issue:
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zhengruifeng closed SPARK-14938.
Resolution: Not A Problem
> Use Datasets.as to improve internal implementation
>
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Tao Meng updated SPARK-5:
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Comment: was deleted
(was: Yes. Maybe the method name is not very accurate.
It is better to change
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bo song updated SPARK-17987:
Comment: was deleted
(was: Thanks for your comments. When evaluation involves in cross validation,
there
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bo song commented on SPARK-17987:
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Thanks for your comments. When evaluation involves in cross
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Juri Paern commented on SPARK-14767:
We updated to spark 2.0.1 and face now this issue. Any idea when
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Steve Loughran commented on SPARK-5925:
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looking at this, I'm confused about what I'd written
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quanfuwang commented on SPARK-17984:
NUMA is a model for cores and memory. For modern CPU there are
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Jiang Xingbo edited comment on SPARK-17982 at 10/18/16 10:16 AM:
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Hi,
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Jiang Xingbo commented on SPARK-17910:
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Hi, If no one is working on this, I'd like to have a try.
cobb xia created SPARK-17988:
Summary: How could I run includePackage in sparkR
Key: SPARK-17988
URL: https://issues.apache.org/jira/browse/SPARK-17988
Project: Spark
Issue Type: Bug
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Sean Owen commented on SPARK-17984:
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Hm, it sounds like you mean it is on by default but not supported
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Sean Owen resolved SPARK-9931.
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Resolution: Cannot Reproduce
> Flaky test: mllib/tests.py StreamingLogisticRegressionWithSGDTests.
>
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Sean Owen commented on SPARK-17987:
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I think this is on purpose. There's no meaningful way to handle a
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Jiang Xingbo commented on SPARK-17982:
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Thank you for reporting! I'll look at this issue.
> Spark
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Sean Owen resolved SPARK-17973.
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Resolution: Not A Problem
Questions should go on the mailing list:
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Sean Owen updated SPARK-17862:
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Assignee: Eric Liang
Priority: Trivial (was: Major)
> Feature flag SPARK-16980
>
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Xiangrui Meng edited comment on SPARK-14393 at 10/18/16 7:43 AM:
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This is
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zhengruifeng commented on SPARK-14938:
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This jira is out of date. I think it's time to close it.
>
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bo song commented on SPARK-17987:
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Thanks for your comments. When evaluation involves in cross
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Sean Owen updated SPARK-17984:
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Target Version/s: (was: 2.0.1)
Fix Version/s: (was: 2.0.1)
> Add support for numa aware
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Thomas Graves commented on SPARK-15708:
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[~ajbozarth] It was closed because we weren't able to
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Sean Owen commented on SPARK-10872:
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If you see a place where the DB or metastore can obviously be
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Sean Owen commented on SPARK-17987:
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This amounts to assuming that any row that has no prediction
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Apache Spark commented on SPARK-17989:
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User 'HyukjinKwon' has created a pull request for this
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Apache Spark reassigned SPARK-17989:
Assignee: Apache Spark
> Check ascendingOrder type in sort_array function ahead
>
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Apache Spark reassigned SPARK-17989:
Assignee: (was: Apache Spark)
> Check ascendingOrder type in sort_array function
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koert kuipers commented on SPARK-15769:
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worth pointing out:
* adding an encoder to the input type
Hyukjin Kwon created SPARK-17989:
Summary: Check ascendingOrder type in sort_array function ahead
Key: SPARK-17989
URL: https://issues.apache.org/jira/browse/SPARK-17989
Project: Spark
Issue
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Eli Miller updated SPARK-17891:
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Issue Type: Bug (was: Question)
> SQL-based three column join loses first column
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Thomas Graves commented on SPARK-17979:
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We already had a jira to remove all the deprecated
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Michael Allman commented on SPARK-17983:
Speaking strictly from the POV of parquet predicate
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Reynold Xin commented on SPARK-10915:
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Hm I don't think [~mgummelt] knows SQL at all. Not sure how
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Eric Liang commented on SPARK-17862:
Yes, this is the flag:
{code}
val
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Reynold Xin updated SPARK-17751:
Fix Version/s: 2.0.2
> Remove spark.sql.eagerAnalysis
> --
>
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Joseph K. Bradley updated SPARK-17219:
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Fix Version/s: (was: 2.1.0)
> QuantileDiscretizer does strange things with NaN
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Joseph K. Bradley updated SPARK-17219:
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Affects Version/s: 2.1.0
2.0.1
> QuantileDiscretizer does
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Joseph K. Bradley reopened SPARK-17219:
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> QuantileDiscretizer does strange things with NaN values
>
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Tobi Bosede commented on SPARK-10915:
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Ah ok. Well maybe we can implement an interquartile (IQR)
Michael Allman created SPARK-17990:
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Summary: ALTER TABLE ... ADD PARTITION does not play nice with
mixed-case partition column names
Key: SPARK-17990
URL: https://issues.apache.org/jira/browse/SPARK-17990
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https://issues.apache.org/jira/browse/SPARK-17862?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-17862.
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Resolution: Done
> Feature flag SPARK-16980
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> Key:
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https://issues.apache.org/jira/browse/SPARK-17974?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15586229#comment-15586229
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Apache Spark commented on SPARK-17974:
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User 'ericl' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17983?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15586018#comment-15586018
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Michael Allman edited comment on SPARK-17983 at 10/18/16 5:23 PM:
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cc
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Reynold Xin commented on SPARK-17983:
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[~michael] [~ekhliang] can we put all the tickets related to
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https://issues.apache.org/jira/browse/SPARK-17219?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-17219:
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Summary: QuantileDiscretizer should handle NaN values gracefully (was:
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https://issues.apache.org/jira/browse/SPARK-17219?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-17219:
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Affects Version/s: (was: 2.0.1)
(was: 2.1.0)
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https://issues.apache.org/jira/browse/SPARK-17983?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15586018#comment-15586018
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Michael Allman commented on SPARK-17983:
cc [~rxin]
I had a feeling there might be some fallout
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Reynold Xin updated SPARK-17983:
Issue Type: Sub-task (was: Bug)
Parent: SPARK-17861
> Can't filter over mixed case
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https://issues.apache.org/jira/browse/SPARK-17983?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15586090#comment-15586090
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Reynold Xin commented on SPARK-17983:
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I'm really tempted to say everything in Spark SQL for the time
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Reynold Xin commented on SPARK-17983:
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We can update Parquet to make it case insensitive too.
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Michael Allman commented on SPARK-17983:
Hmmm... not sure what you mean. You talking about
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Michael Allman edited comment on SPARK-17983 at 10/18/16 5:49 PM:
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Joseph K. Bradley updated SPARK-17219:
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Shepherd: Joseph K. Bradley
> QuantileDiscretizer should handle NaN values gracefully
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