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Reynold Xin updated SPARK-7186:
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Description:
Currently, we use o.a.s.sql.Row both internally and externally. The external
interface i
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Reynold Xin updated SPARK-7186:
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Priority: Blocker (was: Major)
> Decouple internal Row from external Row
> --
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Reynold Xin updated SPARK-7186:
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Description:
Currently, we use o.a.s.sql.Row both internally and externally. The external
interface i
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Reynold Xin updated SPARK-7186:
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Description:
Currently, we use o.a.s.sql.Row both internally and externally. The external
interface i
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Rui Li commented on SPARK-7081:
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Hi [~joshrosen], requiring the dependency having no aggrega
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Xia Hu commented on SPARK-7782:
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Yeah, ok , I will use a more detail title next time. And I
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Yin Huai updated SPARK-4176:
Target Version/s: (was: 1.4.0)
> Support decimals with precision > 18 in Parquet
> ---
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Yin Huai commented on SPARK-4176:
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Seems our Decimal is using a BigDecimal when we cannot
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Yin Huai updated SPARK-6591:
Target Version/s: 1.5.0 (was: 1.4.0)
> Python data source load options should auto convert common types int
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Yin Huai updated SPARK-7659:
Target Version/s: 1.5.0 (was: 1.4.0)
> Sort by attributes that are not present in the SELECT clause when th
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Yin Huai updated SPARK-6467:
Target Version/s: 1.5.0 (was: 1.4.0)
> Override QueryPlan.missingInput when necessary and rely on it CheckA
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Yin Huai updated SPARK-7163:
Target Version/s: (was: 1.4.0)
> minor refactory for HiveQl
> --
>
>
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Yin Huai updated SPARK-6419:
Target Version/s: 1.5.0 (was: 1.4.0)
> GenerateOrdering does not support BinaryType and complex types.
> --
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Yin Huai updated SPARK-6212:
Target Version/s: 1.5.0 (was: 1.4.0)
> The EXPLAIN output of CTAS only shows the analyzed plan
> --
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Yin Huai updated SPARK-4561:
Target Version/s: 1.5.0 (was: 1.4.0)
> PySparkSQL's Row.asDict() should convert nested rows to dictionaries
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Yin Huai updated SPARK-4944:
Target Version/s: 1.5.0 (was: 1.4.0)
> Table Not Found exception in "Create Table Like registered RDD table
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Yin Huai updated SPARK-4944:
Target Version/s: (was: 1.5.0)
> Table Not Found exception in "Create Table Like registered RDD table"
> -
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Yin Huai updated SPARK-6377:
Target Version/s: 1.5.0 (was: 1.4.0)
> Set the number of shuffle partitions for Exchange operator automatic
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Yin Huai updated SPARK-4559:
Target Version/s: (was: 1.4.0)
> Adding support for ucase and lcase
> --
>
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Yin Huai resolved SPARK-5229.
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Resolution: Duplicate
Target Version/s: (was: 1.4.0)
> Use tableIdentifier as the reference of
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Yin Huai updated SPARK-5251:
Target Version/s: 1.5.0 (was: 1.4.0)
> Using `tableIdentifier` in hive metastore
> ---
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Yin Huai updated SPARK-5288:
Target Version/s: 1.5.0 (was: 1.4.0)
> Stabilize Spark SQL data type API followup
> --
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Reynold Xin commented on SPARK-6624:
[~cloud_fan] interested in doing this one also?
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Reynold Xin resolved SPARK-7782.
Resolution: Fixed
Fix Version/s: 1.4.0
Assignee: Shekhar Bansal
> A small problem on
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Yin Huai updated SPARK-6319:
Target Version/s: 1.5.0 (was: 1.4.0)
> DISTINCT doesn't work for binary type
>
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Yin Huai resolved SPARK-4892.
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Resolution: Won't Fix
Since it is a Hive bug (https://issues.apache.org/jira/browse/HIVE-7633), I am
reso
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Yin Huai updated SPARK-4892:
Target Version/s: (was: 1.4.0)
> java.io.FileNotFound exceptions when creating EXTERNAL hive tables
>
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Yin Huai updated SPARK-4892:
Labels: (was: starter)
> java.io.FileNotFound exceptions when creating EXTERNAL hive tables
>
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Yin Huai resolved SPARK-4854.
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Resolution: Duplicate
Seems SPARK-6708 has resolved this issue.
> Custom UDTF with Lateral View throws Cl
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Yin Huai updated SPARK-4576:
Target Version/s: (was: 1.4.0)
> Add concatenation operator
> --
>
>
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Yin Huai updated SPARK-2863:
Target Version/s: (was: 1.4.0)
> Emulate Hive type coercion in native reimplementations of Hive functions
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Yin Huai commented on SPARK-5327:
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Since we only support a single hive version in the exec
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Yin Huai updated SPARK-5327:
Target Version/s: (was: 1.4.0)
> HiveCompatibilitySuite fails when executed against Hive 0.12.0
>
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Yin Huai updated SPARK-6583:
Target Version/s: 1.5.0 (was: 1.4.0)
> Support aggregated function in order by
> --
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Yin Huai updated SPARK-6964:
Target Version/s: 1.5.0 (was: 1.4.0, 1.5.0)
> Support Cancellation in the Thrift Server
> -
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Yin Huai updated SPARK-7505:
Target Version/s: 1.5.0 (was: 1.4.0)
> Update PySpark DataFrame docs: encourage __getitem__, mark as experi
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Yin Huai resolved SPARK-7832.
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Resolution: Fixed
Fix Version/s: 1.4.0
It has been resolved by https://github.com/apache/spark/pull
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Patrick Wendell resolved SPARK-7896.
Resolution: Fixed
Fix Version/s: 1.4.0
> IndexOutOfBoundsException in ChainedBuffer
>
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Jihong MA commented on SPARK-6548:
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Hi sdfox,
I thought you are no longer working on thi
Xiangrui Meng created SPARK-7912:
Summary: Make OneHotEncoder more optimistic about the input
Key: SPARK-7912
URL: https://issues.apache.org/jira/browse/SPARK-7912
Project: Spark
Issue Type:
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Apache Spark commented on SPARK-7198:
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User 'mengxr' has created a pull request for th
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Apache Spark reassigned SPARK-7577:
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Assignee: Apache Spark (was: Xusen Yin)
> User guide update for Bucketizer
> ---
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Apache Spark commented on SPARK-7577:
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User 'yinxusen' has created a pull request for
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Apache Spark reassigned SPARK-7577:
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Assignee: Xusen Yin (was: Apache Spark)
> User guide update for Bucketizer
> ---
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Joseph K. Bradley edited comment on SPARK-7529 at 5/28/15 3:50 AM:
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Joseph K. Bradley edited comment on SPARK-7529 at 5/28/15 3:50 AM:
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Joseph K. Bradley edited comment on SPARK-7529 at 5/28/15 3:49 AM:
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Joseph K. Bradley edited comment on SPARK-7529 at 5/28/15 3:46 AM:
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Joseph K. Bradley commented on SPARK-7529:
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I've finished a pass. I mainly check
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Joseph K. Bradley edited comment on SPARK-7529 at 5/28/15 3:37 AM:
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Xiangrui Meng updated SPARK-7903:
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Comment: was deleted
(was: User 'mengxr' has created a pull request for this issue:
https://github
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Patrick Wendell resolved SPARK-7873.
Resolution: Fixed
Fix Version/s: 1.4.0
> Serializer re-use + Kryo autoReset disabled
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Patrick Wendell updated SPARK-6294:
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Fix Version/s: 1.3.1
1.4.0
> PySpark task may hang while call take() on in
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Apache Spark reassigned SPARK-7911:
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Assignee: Xiangrui Meng (was: Apache Spark)
> A workaround for VectorUDT serialize (or deser
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Apache Spark reassigned SPARK-7911:
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Assignee: Apache Spark (was: Xiangrui Meng)
> A workaround for VectorUDT serialize (or deser
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Apache Spark reassigned SPARK-7911:
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Assignee: Apache Spark (was: Xiangrui Meng)
> A workaround for VectorUDT serialize (or deser
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Apache Spark reassigned SPARK-7911:
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Assignee: Xiangrui Meng (was: Apache Spark)
> A workaround for VectorUDT serialize (or deser
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Apache Spark commented on SPARK-7911:
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User 'mengxr' has created a pull request for th
Xiangrui Meng created SPARK-7911:
Summary: A workaround for VectorUDT serialize (or deserialize)
being called multiple times
Key: SPARK-7911
URL: https://issues.apache.org/jira/browse/SPARK-7911
Proje
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Joseph K. Bradley edited comment on SPARK-7529 at 5/28/15 3:05 AM:
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Yin Huai resolved SPARK-7907.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 6448
[https://github.com/apac
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Joseph K. Bradley edited comment on SPARK-7529 at 5/28/15 2:53 AM:
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Joseph K. Bradley commented on SPARK-7529:
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*spark.mllib: Issues found in a pass
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holdenk commented on SPARK-7888:
Sounds good, I can go do some reading before I bug you ab
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holdenk updated SPARK-7910:
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Component/s: (was: PySpark)
(was: Spark Core)
> Expose partitioner information in Jav
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holdenk updated SPARK-7910:
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Summary: Expose partitioner information in JavaRDD (was: Expose
partitioner information in Java & Python APIs
holdenk created SPARK-7910:
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Summary: Expose partitioner information in Java & Python APIs.
Key: SPARK-7910
URL: https://issues.apache.org/jira/browse/SPARK-7910
Project: Spark
Issue Type: Improveme
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Reynold Xin resolved SPARK-7897.
Resolution: Fixed
Fix Version/s: 1.4.0
Assignee: Liang-Chi Hsieh
> Column with an un
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Shivaram Venkataraman commented on SPARK-7909:
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Could you check the worker lo
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DB Tsai updated SPARK-7852:
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Issue Type: New Feature (was: Bug)
> Set the initial weights based on the previous when GLMs are run with mul
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DB Tsai commented on SPARK-7888:
Sounds great. This requires some math to understand how R
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Matthew Goodman commented on SPARK-7806:
I started one here. https://issues.apach
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Joseph K. Bradley commented on SPARK-7529:
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*spark.ml: Here is a list of issues f
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Matthew Goodman commented on SPARK-7909:
I have almost everything working, but I a
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holdenk commented on SPARK-6987:
What do you mean by inet comparison? If the problem is th
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Hari Shreedharan commented on SPARK-7908:
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Note that {{test_window}} also failed i
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Davies Liu resolved SPARK-7908.
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Resolution: Duplicate
> PySpark Streaming tests are flaky.
> --
>
>
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Apache Spark reassigned SPARK-6112:
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Assignee: Apache Spark
> Provide external block store support through HDFS RAM_DISK
> ---
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Apache Spark commented on SPARK-6112:
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User 'zhzhan' has created a pull request for th
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Apache Spark reassigned SPARK-6112:
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Assignee: (was: Apache Spark)
> Provide external block store support through HDFS RAM_DIS
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Zhan Zhang updated SPARK-6112:
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Summary: Provide external block store support through HDFS RAM_DISK (was:
Provide OffHeap support throu
Matthew Goodman created SPARK-7909:
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Summary: spark-ec2 and associated tools not py3 ready
Key: SPARK-7909
URL: https://issues.apache.org/jira/browse/SPARK-7909
Project: Spark
Issue Type: Im
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Yin Huai updated SPARK-4629:
Target Version/s: (was: 1.4.0)
> Spark SQL uses Hadoop Configuration in a thread-unsafe manner when writin
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https://issues.apache.org/jira/browse/SPARK-7907?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-7907:
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Assignee: Apache Spark (was: Yin Huai)
> Rename ThriftServer tab in Spark UI
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Apache Spark reassigned SPARK-7907:
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Assignee: Yin Huai (was: Apache Spark)
> Rename ThriftServer tab in Spark UI
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https://issues.apache.org/jira/browse/SPARK-7907?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14562005#comment-14562005
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Apache Spark commented on SPARK-7907:
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User 'yhuai' has created a pull request for thi
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https://issues.apache.org/jira/browse/SPARK-4629?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14562000#comment-14562000
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Yin Huai commented on SPARK-4629:
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[~michael] Can you try our 1.4 branch and see if it is
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https://issues.apache.org/jira/browse/SPARK-7852?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk updated SPARK-7852:
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Summary: Set the initial weights based on the previous when GLMs are run
with multiple regParams (was: Use co
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https://issues.apache.org/jira/browse/SPARK-7908?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14561972#comment-14561972
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Hari Shreedharan commented on SPARK-7908:
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/cc [~tdas], [~davies]
> PySpark Strea
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https://issues.apache.org/jira/browse/SPARK-7908?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hari Shreedharan updated SPARK-7908:
Priority: Critical (was: Major)
> PySpark Streaming tests are flaky.
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Hari Shreedharan created SPARK-7908:
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Summary: PySpark Streaming tests are flaky.
Key: SPARK-7908
URL: https://issues.apache.org/jira/browse/SPARK-7908
Project: Spark
Issue Type: Bug
Yin Huai created SPARK-7907:
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Summary: Rename ThriftServer tab in Spark UI
Key: SPARK-7907
URL: https://issues.apache.org/jira/browse/SPARK-7907
Project: Spark
Issue Type: Bug
Components:
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https://issues.apache.org/jira/browse/SPARK-2205?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai updated SPARK-2205:
Target Version/s: 1.5.0 (was: 1.4.0)
> Unnecessary exchange operators in a join on multiple tables with the
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https://issues.apache.org/jira/browse/SPARK-6570?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai updated SPARK-6570:
Target Version/s: (was: 1.4.0)
> Spark SQL arrays: "explode()" fails and cannot save array type to Parquet
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https://issues.apache.org/jira/browse/SPARK-6570?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14561907#comment-14561907
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Yin Huai commented on SPARK-6570:
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[~jonchase] Can you test our Spark 1.4 branch? I think
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https://issues.apache.org/jira/browse/SPARK-4497?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai updated SPARK-4497:
Target Version/s: (was: 1.4.0)
> HiveThriftServer2 does not exit properly on failure
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https://issues.apache.org/jira/browse/SPARK-6675?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai updated SPARK-6675:
Target Version/s: 1.5.0 (was: 1.4.0)
> HiveContext setConf is not stable
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https://issues.apache.org/jira/browse/SPARK-6482?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai updated SPARK-6482:
Target Version/s: 1.5.0 (was: 1.4.0)
> Remove synchronization of Hive Native commands
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https://issues.apache.org/jira/browse/SPARK-6749?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai updated SPARK-6749:
Target Version/s: 1.5.0 (was: 1.4.0)
> Make metastore client robust to underlying socket connection loss
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holdenk commented on SPARK-7888:
I could do this since I'm sort of poking around at this c
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