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Davies Liu updated SPARK-15803:
---
Assignee: Jeff Zhang
> Support with statement syntax for SparkSession
>
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Davies Liu resolved SPARK-15803.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13541
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Xiangrui Meng updated SPARK-16035:
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Assignee: Andrea Pasqua
> The SparseVector parser fails checking for valid end parenthesis
>
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Xiangrui Meng resolved SPARK-16035.
---
Resolution: Fixed
Fix Version/s: 1.6.2
2.0.0
Issue resolved by
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Apache Spark reassigned SPARK-16041:
Assignee: Apache Spark
> Disallow Duplicate Columns in `partitionBy`, `blockBy` and
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Apache Spark reassigned SPARK-16041:
Assignee: (was: Apache Spark)
> Disallow Duplicate Columns in `partitionBy`,
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https://issues.apache.org/jira/browse/SPARK-16041?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15337552#comment-15337552
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Apache Spark commented on SPARK-16041:
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User 'gatorsmile' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-16041?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li updated SPARK-16041:
Description:
Duplicate columns are not allowed in `partitionBy`, `blockBy`, `sortBy` in .
The duplicate
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Xiao Li updated SPARK-16041:
Description:
Duplicate columns are not allowed in `partitionBy`, `blockBy`, `sortBy` in
DataFrameWriter.
Xiao Li created SPARK-16041:
---
Summary: Disallow Duplicate Columns in `partitionBy`, `blockBy`
and `sortBy`
Key: SPARK-16041
URL: https://issues.apache.org/jira/browse/SPARK-16041
Project: Spark
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Xiao Li updated SPARK-16041:
Summary: Disallow Duplicate Columns in `partitionBy`, `blockBy` and
`sortBy` in DataFrameWriter (was:
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Apache Spark reassigned SPARK-16040:
Assignee: (was: Apache Spark)
> spark.mllib PIC document extra line of refernece
>
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Apache Spark reassigned SPARK-16040:
Assignee: Apache Spark
> spark.mllib PIC document extra line of refernece
>
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Apache Spark commented on SPARK-16040:
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User 'wangmiao1981' has created a pull request for this
Miao Wang created SPARK-16040:
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Summary: spark.mllib PIC document extra line of refernece
Key: SPARK-16040
URL: https://issues.apache.org/jira/browse/SPARK-16040
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-16020?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu resolved SPARK-16020.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Fix complete mode aggregation with console
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Apache Spark reassigned SPARK-16037:
Assignee: Apache Spark (was: Wenchen Fan)
> use by-position resolution when insert into
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Apache Spark reassigned SPARK-16036:
Assignee: Wenchen Fan (was: Apache Spark)
> better error message if the number of
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Apache Spark reassigned SPARK-16036:
Assignee: Apache Spark (was: Wenchen Fan)
> better error message if the number of
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Apache Spark commented on SPARK-16037:
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User 'cloud-fan' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-16037?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16037:
Assignee: Wenchen Fan (was: Apache Spark)
> use by-position resolution when insert into
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https://issues.apache.org/jira/browse/SPARK-16036?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15337542#comment-15337542
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Apache Spark commented on SPARK-16036:
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User 'cloud-fan' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-16029?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16029:
Assignee: Apache Spark
> Deprecate dropTempTable in SparkR
>
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Apache Spark reassigned SPARK-16029:
Assignee: (was: Apache Spark)
> Deprecate dropTempTable in SparkR
>
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Apache Spark commented on SPARK-16029:
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User 'felixcheung' has created a pull request for this
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Wenchen Fan deleted SPARK-16038:
> we can omit partition list when insert into hive table
>
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Apache Spark reassigned SPARK-16028:
Assignee: Apache Spark
> Remove the need to pass in a SparkContext for spark.lapply
>
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Apache Spark reassigned SPARK-16028:
Assignee: (was: Apache Spark)
> Remove the need to pass in a SparkContext for
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Apache Spark commented on SPARK-16028:
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User 'felixcheung' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-15159?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15337532#comment-15337532
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Apache Spark commented on SPARK-15159:
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User 'felixcheung' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-9857?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15337526#comment-15337526
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Shivaram Venkataraman commented on SPARK-9857:
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[~yuu.ishik...@gmail.com] [~sunrui] Do we
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Shivaram Venkataraman commented on SPARK-15124:
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One more item on this list is the
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Shivaram Venkataraman commented on SPARK-6817:
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I think all the ones we need for 2.0 are
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Shivaram Venkataraman resolved SPARK-15159.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request
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Shivaram Venkataraman updated SPARK-15159:
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Assignee: Felix Cheung
> SparkSession R API
> --
>
>
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Yanbo Liang resolved SPARK-15946.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Wrap the conversion utils in Python
>
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Xiangrui Meng resolved SPARK-15129.
---
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13285
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https://issues.apache.org/jira/browse/SPARK-15892?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-15892:
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Fix Version/s: 2.0.0
> Incorrectly merged AFTAggregator with zero total count
>
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Xiangrui Meng resolved SPARK-15892.
---
Resolution: Fixed
Fix Version/s: (was: 2.0.0)
1.6.2
Issue
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Xiangrui Meng resolved SPARK-15603.
---
Resolution: Fixed
Fix Version/s: 2.0.0
> Replace SQLContext with SparkSession in
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Yin Huai resolved SPARK-16033.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13747
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Felix Cheung commented on SPARK-16028:
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Fix ready as soon as the parent PR is merged.
> Remove the
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Felix Cheung commented on SPARK-16027:
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Fix ready as soon as parent PR is merged.
> Fix SparkR
Prabhu Kasinathan created SPARK-16039:
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Summary: Spark SQL - Number of rows inserted by Insert Sql
Key: SPARK-16039
URL: https://issues.apache.org/jira/browse/SPARK-16039
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-15340?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15337421#comment-15337421
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Zhongshuai Pei edited comment on SPARK-15340 at 6/18/16 1:47 AM:
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yueyou commented on SPARK-16016:
you say nothing
> where i can find the code of Extreme Learning
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Zhongshuai Pei commented on SPARK-15340:
[~clockfly]
1. I run in the cluster mode on YARN and
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Andrea Pasqua commented on SPARK-16035:
---
https://github.com/apache/spark/pull/13750
> The
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Andrea Pasqua updated SPARK-16035:
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Comment: was deleted
(was: https://github.com/apache/spark/pull/13750)
> The SparseVector
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Apache Spark reassigned SPARK-16035:
Assignee: (was: Apache Spark)
> The SparseVector parser fails checking for valid end
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Apache Spark commented on SPARK-16035:
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User 'andreapasqua' has created a pull request for this
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Apache Spark reassigned SPARK-16035:
Assignee: Apache Spark
> The SparseVector parser fails checking for valid end parenthesis
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https://issues.apache.org/jira/browse/SPARK-16034?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16034:
Assignee: (was: Apache Spark)
> Checks the partition columns when calling
>
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Apache Spark reassigned SPARK-16034:
Assignee: Apache Spark
> Checks the partition columns when calling
>
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Apache Spark commented on SPARK-16034:
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User 'clockfly' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-16031?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16031:
Assignee: Matei Zaharia (was: Apache Spark)
> Add debug-only socket source in Structured
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Apache Spark commented on SPARK-16031:
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User 'mateiz' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-16031?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16031:
Assignee: Apache Spark (was: Matei Zaharia)
> Add debug-only socket source in Structured
Wenchen Fan created SPARK-16038:
---
Summary: we can omit partition list when insert into hive table
Key: SPARK-16038
URL: https://issues.apache.org/jira/browse/SPARK-16038
Project: Spark
Issue
Wenchen Fan created SPARK-16037:
---
Summary: use by-position resolution when insert into hive table
Key: SPARK-16037
URL: https://issues.apache.org/jira/browse/SPARK-16037
Project: Spark
Issue
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Andrea Pasqua updated SPARK-16035:
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Description:
Running
SparseVector.parse(' (4, [0,1 ],[ 4.0,5.0] ')
will
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Andrea Pasqua updated SPARK-16035:
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Component/s: PySpark
> The SparseVector parser fails checking for valid end parenthesis
>
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Sean Zhong updated SPARK-16034:
---
Issue Type: Sub-task (was: Bug)
Parent: SPARK-16032
> Checks the partition columns when
Wenchen Fan created SPARK-16036:
---
Summary: better error message if the number of columns in SELECT
clause doesn't match the table schema
Key: SPARK-16036
URL: https://issues.apache.org/jira/browse/SPARK-16036
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Andrea Pasqua updated SPARK-16035:
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Description:
Running
```
SparseVector.parse(' (4, [0,1 ],[ 4.0,5.0] ')
```
> The SparseVector
Andrea Pasqua created SPARK-16035:
-
Summary: The SparseVector parser fails checking for valid end
parenthesis
Key: SPARK-16035
URL: https://issues.apache.org/jira/browse/SPARK-16035
Project: Spark
Sean Zhong created SPARK-16034:
--
Summary: Checks the partition columns when calling
dataFrame.write.mode("append").saveAsTable
Key: SPARK-16034
URL: https://issues.apache.org/jira/browse/SPARK-16034
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Apache Spark reassigned SPARK-16033:
Assignee: Cheng Lian (was: Apache Spark)
> DataFrameWriter.partitionBy() can't be used
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Apache Spark reassigned SPARK-16033:
Assignee: Apache Spark (was: Cheng Lian)
> DataFrameWriter.partitionBy() can't be used
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Apache Spark reassigned SPARK-16030:
Assignee: Apache Spark (was: Yin Huai)
> Allow specifying static partitions in an INSERT
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Apache Spark commented on SPARK-16030:
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User 'yhuai' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-16030?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16030:
Assignee: Yin Huai (was: Apache Spark)
> Allow specifying static partitions in an INSERT
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Apache Spark commented on SPARK-16033:
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User 'liancheng' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-15997?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15337335#comment-15337335
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Gayathri Murali commented on SPARK-15997:
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https://github.com/apache/spark/pull/13745 - This is
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Cheng Lian updated SPARK-16033:
---
Issue Type: Sub-task (was: Bug)
Parent: SPARK-16032
> DataFrameWriter.partitionBy() can't
Cheng Lian created SPARK-16033:
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Summary: DataFrameWriter.partitionBy() can't be used together with
DataFrameWriter.insertInto()
Key: SPARK-16033
URL: https://issues.apache.org/jira/browse/SPARK-16033
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Cheng Lian updated SPARK-16030:
---
Assignee: Yin Huai
> Allow specifying static partitions in an INSERT statement for data source
>
Cheng Lian created SPARK-16032:
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Summary: Audit semantics of various insertion operations related
to partitioned tables
Key: SPARK-16032
URL: https://issues.apache.org/jira/browse/SPARK-16032
Project:
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Cheng Lian updated SPARK-16030:
---
Issue Type: Sub-task (was: Bug)
Parent: SPARK-16032
> Allow specifying static partitions in
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Apache Spark reassigned SPARK-15997:
Assignee: Gayathri Murali (was: Apache Spark)
> Audit ml.feature Update documentation
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Apache Spark commented on SPARK-15997:
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User 'GayathriMurali' has created a pull request for this
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Apache Spark reassigned SPARK-15997:
Assignee: Apache Spark (was: Gayathri Murali)
> Audit ml.feature Update documentation
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Yin Huai updated SPARK-16030:
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Priority: Critical (was: Major)
> Allow specifying static partitions in an INSERT statement for data
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https://issues.apache.org/jira/browse/SPARK-15916?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-15916:
---
Description:
A table from SQL server Northwind database was registered as a JDBC dataframe.
A query
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Saisai Shao commented on SPARK-15984:
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Is there any problem? I guess you might set max app attempt to
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Cheng Lian updated SPARK-15916:
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Assignee: Hyukjin Kwon
> JDBC AND/OR operator push down does not respect lower OR operator
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Cheng Lian resolved SPARK-15916.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13743
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Shivaram Venkataraman resolved SPARK-16005.
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Resolution: Fixed
Assignee: Dongjoon Hyun
Fix Version/s:
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https://issues.apache.org/jira/browse/SPARK-16031?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15337182#comment-15337182
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Matei Zaharia commented on SPARK-16031:
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FYI I'll post a PR for this soon.
> Add debug-only socket
Matei Zaharia created SPARK-16031:
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Summary: Add debug-only socket source in Structured Streaming
Key: SPARK-16031
URL: https://issues.apache.org/jira/browse/SPARK-16031
Project: Spark
Issue
Yin Huai created SPARK-16030:
Summary: Allow specifying static partitions in an INSERT statement
for data source tables
Key: SPARK-16030
URL: https://issues.apache.org/jira/browse/SPARK-16030
Project:
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https://issues.apache.org/jira/browse/SPARK-16022?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15337171#comment-15337171
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jon commented on SPARK-16022:
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Hi, thanks for the correction. Where is that users first?
> Input size is
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https://issues.apache.org/jira/browse/SPARK-16014?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin resolved SPARK-16014.
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Resolution: Fixed
> Rename optimizer rules to be more consistent
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https://issues.apache.org/jira/browse/SPARK-16017?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu resolved SPARK-16017.
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Resolution: Fixed
Assignee: Shixiong Zhu
Fix Version/s: 2.0.0
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https://issues.apache.org/jira/browse/SPARK-16017?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu updated SPARK-16017:
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Fix Version/s: 1.6.2
> YarnClientSchedulerBackend now registers backends as IPs instead of
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https://issues.apache.org/jira/browse/SPARK-16017?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu updated SPARK-16017:
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Target Version/s: 1.6.2, 2.0.0 (was: 2.0.0)
> YarnClientSchedulerBackend now registers backends
Shivaram Venkataraman created SPARK-16029:
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Summary: Deprecate dropTempTable in SparkR
Key: SPARK-16029
URL: https://issues.apache.org/jira/browse/SPARK-16029
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-16029?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15337159#comment-15337159
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Shivaram Venkataraman commented on SPARK-16029:
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cc [~liancheng] [~felixcheung]
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https://issues.apache.org/jira/browse/SPARK-16017?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15337155#comment-15337155
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Shixiong Zhu commented on SPARK-16017:
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[~tleftwich] Thanks! I'm merging it into 2.0 now!
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https://issues.apache.org/jira/browse/SPARK-16017?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15337154#comment-15337154
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Trystan Leftwich commented on SPARK-16017:
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[~zsxwing] I've tested your fix locally and it all
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