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Davies Liu updated SPARK-13866:
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Assignee: Hyukjin Kwon
> Handle decimal type in CSV inference
>
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Davies Liu resolved SPARK-13866.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11724
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Yin Huai resolved SPARK-14541.
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Resolution: Fixed
Assignee: Reynold Xin
Fix Version/s: 2.0.0
This issue has been
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Apache Spark commented on SPARK-15311:
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User 'gatorsmile' has created a pull request for this issue:
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Apache Spark reassigned SPARK-15311:
Assignee: (was: Apache Spark)
> Disallow DML on Non-temporary Tables when Using
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Apache Spark reassigned SPARK-15311:
Assignee: Apache Spark
> Disallow DML on Non-temporary Tables when Using In-Memory
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Xiao Li updated SPARK-15311:
Summary: Disallow DML on Non-temporary Tables when Using In-Memory Catalog
(was: Disallow DML for
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Xiao Li updated SPARK-15311:
Description:
So far, when using In-Memory Catalog, we allow DDL operations for non-temporary
tables.
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Xiao Li updated SPARK-15311:
Summary: Disallow DML for Non-temporary Tables when Using In-Memory Catalog
(was: Disallow Using
Xiao Li created SPARK-15311:
---
Summary: Disallow Using Non-temporary Tables when Using In-Memory
Catalog
Key: SPARK-15311
URL: https://issues.apache.org/jira/browse/SPARK-15311
Project: Spark
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Apache Spark commented on SPARK-15309:
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User 'lresende' has created a pull request for this issue:
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Apache Spark reassigned SPARK-15309:
Assignee: (was: Apache Spark)
> Bump master to version 2.1.0-SNAPSHOT
>
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Apache Spark reassigned SPARK-15309:
Assignee: Apache Spark
> Bump master to version 2.1.0-SNAPSHOT
>
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Apache Spark reassigned SPARK-15310:
Assignee: Reynold Xin (was: Apache Spark)
> Rename HiveTypeCoercion -> TypeCoercion
>
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Apache Spark reassigned SPARK-15310:
Assignee: Apache Spark (was: Reynold Xin)
> Rename HiveTypeCoercion -> TypeCoercion
>
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Apache Spark commented on SPARK-15310:
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User 'rxin' has created a pull request for this issue:
Reynold Xin created SPARK-15310:
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Summary: Rename HiveTypeCoercion -> TypeCoercion
Key: SPARK-15310
URL: https://issues.apache.org/jira/browse/SPARK-15310
Project: Spark
Issue Type:
Luciano Resende created SPARK-15309:
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Summary: Bump master to version 2.1.0-SNAPSHOT
Key: SPARK-15309
URL: https://issues.apache.org/jira/browse/SPARK-15309
Project: Spark
Issue Type: Bug
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Reynold Xin resolved SPARK-15306.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Move object related expressions into
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Takuya Ueshin updated SPARK-15308:
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Description:
The following code generates wrong schema:
{code}
val schema = new
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Apache Spark reassigned SPARK-15308:
Assignee: (was: Apache Spark)
> RowEncoder should preserve nested column name.
>
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Apache Spark reassigned SPARK-15308:
Assignee: Apache Spark
> RowEncoder should preserve nested column name.
>
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Apache Spark commented on SPARK-15308:
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User 'ueshin' has created a pull request for this issue:
Takuya Ueshin created SPARK-15308:
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Summary: RowEncoder should preserve nested column name.
Key: SPARK-15308
URL: https://issues.apache.org/jira/browse/SPARK-15308
Project: Spark
Issue Type:
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yuhao yang edited comment on SPARK-15101 at 5/13/16 2:48 AM:
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new features in
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yuhao yang edited comment on SPARK-15101 at 5/13/16 2:40 AM:
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new features in
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Takeshi Yamamuro commented on SPARK-15247:
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We can easily fix this issue like
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yuhao yang commented on SPARK-15101:
new features in clustering and recommendation:
BisectingKMeans,
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Takeshi Yamamuro commented on SPARK-10899:
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Yep, pushing down`COUNT` and `LIMIT` to datasources
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Apache Spark commented on SPARK-15236:
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User 'xwu0226' has created a pull request for this issue:
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Apache Spark reassigned SPARK-15236:
Assignee: Apache Spark
> No way to disable Hive support in REPL
>
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Apache Spark reassigned SPARK-15236:
Assignee: (was: Apache Spark)
> No way to disable Hive support in REPL
>
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Takeshi Yamamuro commented on SPARK-10899:
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Seems there are a lots of related tickets such as
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Xin Wu commented on SPARK-15236:
i am looking into this
> No way to disable Hive support in REPL
>
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Shivaram Venkataraman resolved SPARK-15202.
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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-15202:
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Assignee: Sun Rui
> add dapplyCollect() method for DataFrame in SparkR
>
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Apache Spark reassigned SPARK-15282:
Assignee: (was: Apache Spark)
> UDF functioin executed twice when filter on new
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Apache Spark commented on SPARK-15282:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark reassigned SPARK-15282:
Assignee: Apache Spark
> UDF functioin executed twice when filter on new column created
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Dongjoon Hyun commented on SPARK-15282:
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Hi, [~linbojin].
I think I can find solution for this
Davies Liu created SPARK-15307:
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Summary: Super slow to load a partitioned table from local disks
Key: SPARK-15307
URL: https://issues.apache.org/jira/browse/SPARK-15307
Project: Spark
Issue
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Davies Liu commented on SPARK-15307:
cc [~liancheng]
> Super slow to load a partitioned table from
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Apache Spark commented on SPARK-15306:
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User 'rxin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-15306:
Assignee: Apache Spark (was: Reynold Xin)
> Move object related expressions into
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https://issues.apache.org/jira/browse/SPARK-15306?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15306:
Assignee: Reynold Xin (was: Apache Spark)
> Move object related expressions into
Reynold Xin created SPARK-15306:
---
Summary: Move object related expressions into expressions.objects
Key: SPARK-15306
URL: https://issues.apache.org/jira/browse/SPARK-15306
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-14541?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15282254#comment-15282254
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Apache Spark commented on SPARK-14541:
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User 'rxin' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-15287?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu closed SPARK-15287.
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Resolution: Won't Fix
> Spark SQL partition filter clause with different literal type will scan all
>
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Davies Liu commented on SPARK-15287:
By design, we can't compare two expression with different types
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Nicholas Chammas commented on SPARK-10899:
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Is {{COUNT}} also something that can be pushed down?
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Apache Spark reassigned SPARK-15305:
Assignee: Apache Spark
> spark.ml document Bisectiong k-means has the incorrect format
>
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Apache Spark commented on SPARK-15305:
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User 'wangmiao1981' has created a pull request for this
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Apache Spark reassigned SPARK-15305:
Assignee: (was: Apache Spark)
> spark.ml document Bisectiong k-means has the
Miao Wang created SPARK-15305:
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Summary: spark.ml document Bisectiong k-means has the incorrect
format
Key: SPARK-15305
URL: https://issues.apache.org/jira/browse/SPARK-15305
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-15269?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15282215#comment-15282215
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Xin Wu edited comment on SPARK-15269 at 5/12/16 11:04 PM:
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FYI..
The reason why
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Xin Wu commented on SPARK-15269:
FYI..
The reason why the default database paths obtained by different
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Kay Ousterhout updated SPARK-13902:
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Fix Version/s: (was: 2.1.0)
2.0.0
> Make DAGScheduler not to create
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Reynold Xin resolved SPARK-15293.
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Resolution: Fixed
Assignee: Herman van Hovell
Fix Version/s: 2.0.0
I'm going to
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Reynold Xin resolved SPARK-10605.
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Resolution: Fixed
Assignee: Herman van Hovell
Fix Version/s: 2.0.0
>
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Kay Ousterhout resolved SPARK-13902.
Resolution: Fixed
Assignee: Takuya Ueshin
Fix Version/s: 2.1.0
> Make
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Sean Owen updated SPARK-14421:
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Assignee: Brian O'Neil
> Kinesis deaggregation with PySpark
> --
>
>
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Sean Owen resolved SPARK-14421.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13054
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Sean Owen updated SPARK-14897:
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Assignee: Bo Meng
> Upgrade Jetty to latest version of 8/9
> --
>
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Sean Owen resolved SPARK-14897.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12916
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Sean Owen commented on SPARK-15302:
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Is this supposed to be a Spark issue?
> Implement FK/PK "rely
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Marcelo Vanzin deleted SPARK-15304:
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> kung,1.844.844.2433, kindle fire game tech support number, kindle fire
> technical Support
sdfsdf created SPARK-15304:
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Summary: kung,1.844.844.2433, kindle fire game tech support
number, kindle fire technical Support Phone Number,kindle fire CUSTOMER SUPPORT
PHONE NUMBER
Key: SPARK-15304
URL:
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Marcelo Vanzin deleted SPARK-15303:
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> kung,1.855-888.0376, gmail tech support number, gmail technical Support
> Phone
sdfsdf created SPARK-15303:
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Summary: kung,1.855-888.0376, gmail tech support number, gmail
technical Support Phone Number,gmail CUSTOMER SUPPORT PHONE NUMBER
Key: SPARK-15303
URL:
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Marcelo Vanzin deleted SPARK-15301:
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> kung,1.844.844.2433, pogo game tech support number, POGO technical Support
> Phone
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Ruslan Dautkhanov updated SPARK-15302:
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Description:
Oracle has "RELY NOVALIDATE" option for constraints.. Could be easier for
Ruslan Dautkhanov created SPARK-15302:
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Summary: Implement FK/PK "rely novalidate" constraints for better
CBO
Key: SPARK-15302
URL: https://issues.apache.org/jira/browse/SPARK-15302
Project:
sdfsdf created SPARK-15301:
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Summary: kung,1.844.844.2433, pogo game tech support number, POGO
technical Support Phone Number,POGO CUSTOMER SUPPORT PHONE NUMBER
Key: SPARK-15301
URL:
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Davies Liu updated SPARK-15300:
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Summary: Can't remove a block if it's under evicting (was: Can't remove a
block if it's under
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Apache Spark reassigned SPARK-15300:
Assignee: Davies Liu (was: Apache Spark)
> Can't remove a block if it's under eviting
>
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Apache Spark commented on SPARK-15300:
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User 'davies' has created a pull request for this issue:
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Apache Spark reassigned SPARK-15300:
Assignee: Apache Spark (was: Davies Liu)
> Can't remove a block if it's under eviting
>
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https://issues.apache.org/jira/browse/SPARK-14684?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or resolved SPARK-14684.
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Resolution: Fixed
Fix Version/s: 2.0.0
Target Version/s: 2.0.0
> Verification of
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Andrew Or resolved SPARK-15277.
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Resolution: Fixed
Assignee: Xiao Li
Fix Version/s: 2.0.0
Target
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Andrew Or updated SPARK-14684:
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Description:
When attempting to drop partitions of a table, if the user provides an unknown
column,
Davies Liu created SPARK-15300:
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Summary: Can't remove a block if it's under eviting
Key: SPARK-15300
URL: https://issues.apache.org/jira/browse/SPARK-15300
Project: Spark
Issue Type: Bug
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Marcelo Vanzin deleted SPARK-15299:
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> 1844.887.9236 Quickbooks Desktop Support Phone Number
>
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Michael Gummelt commented on SPARK-15271:
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Much needed, thanks.
> Allow force pulling executor
raman deep created SPARK-15299:
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Summary: 1844.887.9236 Quickbooks Desktop Support Phone Number
Key: SPARK-15299
URL: https://issues.apache.org/jira/browse/SPARK-15299
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-15298?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Marcelo Vanzin deleted SPARK-15298:
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> 1844-887-9236 Quickbooks Customer Service Phone Number
>
raman deep created SPARK-15298:
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Summary: 1844-887-9236 Quickbooks Customer Service Phone Number
Key: SPARK-15298
URL: https://issues.apache.org/jira/browse/SPARK-15298
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-15294?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15281807#comment-15281807
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Shivaram Venkataraman commented on SPARK-15294:
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[~mhnatiuk] Thanks for opening this. I
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Marcelo Vanzin commented on SPARK-14209:
BTW this particular error looks like SPARK-9439,
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https://issues.apache.org/jira/browse/SPARK-15297?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15297:
Assignee: Apache Spark
> Fix Set -V Command
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> Key:
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https://issues.apache.org/jira/browse/SPARK-15297?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15297:
Assignee: (was: Apache Spark)
> Fix Set -V Command
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>
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https://issues.apache.org/jira/browse/SPARK-15297?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15281796#comment-15281796
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Apache Spark commented on SPARK-15297:
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User 'gatorsmile' has created a pull request for this issue:
Xiao Li created SPARK-15297:
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Summary: Fix Set -V Command
Key: SPARK-15297
URL: https://issues.apache.org/jira/browse/SPARK-15297
Project: Spark
Issue Type: Bug
Components: SQL
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https://issues.apache.org/jira/browse/SPARK-14803?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai updated SPARK-14803:
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Assignee: Liang-Chi Hsieh
> A bug in EliminateSerialization rule in Catalyst Optimizer
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https://issues.apache.org/jira/browse/SPARK-15094?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai resolved SPARK-15094.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12926
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https://issues.apache.org/jira/browse/SPARK-15094?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai updated SPARK-15094:
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Assignee: Liang-Chi Hsieh
> CodeGenerator: failed to compile - when using dataset.rdd with generic case
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https://issues.apache.org/jira/browse/SPARK-14803?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai resolved SPARK-14803.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12926
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https://issues.apache.org/jira/browse/SPARK-15269?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15281748#comment-15281748
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Xin Wu commented on SPARK-15269:
Yes, I can . Thanks!
> Creating external table leaves empty directory
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https://issues.apache.org/jira/browse/SPARK-14995?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15281746#comment-15281746
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Shivaram Venkataraman commented on SPARK-14995:
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Technically entire SparkR component is
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https://issues.apache.org/jira/browse/SPARK-14751?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15281700#comment-15281700
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Shivaram Venkataraman commented on SPARK-14751:
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[~sunrui] That sounds fine to me. Can we
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https://issues.apache.org/jira/browse/SPARK-15129?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15281698#comment-15281698
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Gayathri Murali commented on SPARK-15129:
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I can work on this
> Clarify conventions for calling
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