Wenchen Fan created SPARK-25187:
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Summary: Revisit the life cycle of ReadSupport instances.
Key: SPARK-25187
URL: https://issues.apache.org/jira/browse/SPARK-25187
Project: Spark
Issue Type:
Wenchen Fan created SPARK-25186:
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Summary: Stabilize Data Source V2 API
Key: SPARK-25186
URL: https://issues.apache.org/jira/browse/SPARK-25186
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-25132?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16588414#comment-16588414
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Apache Spark commented on SPARK-25132:
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User 'seancxmao' has created a pull request for this issue:
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Gil Vernik resolved SPARK-25155.
Resolution: Cannot Reproduce
> Streaming from storage doesn't work when no directories exists
>
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Gil Vernik commented on SPARK-25155:
[~ste...@apache.org] thanks for the input. This one
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Xiao Li updated SPARK-25159:
Fix Version/s: 2.4.0
> json schema inference should only trigger one job
>
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Xiao Li resolved SPARK-25159.
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Resolution: Fixed
Target Version/s: 2.4.0
> json schema inference should only trigger one job
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Xiao Li resolved SPARK-25140.
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Resolution: Fixed
Assignee: Takeshi Yamamuro
Fix Version/s: 2.4.0
> Add optional
Amit created SPARK-25185:
Summary: CBO rowcount statistics doesn't work for partitioned
parquet external table
Key: SPARK-25185
URL: https://issues.apache.org/jira/browse/SPARK-25185
Project: Spark
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Jungtaek Lim commented on SPARK-24763:
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[~tdas] Got it. Thanks for the input.
> Remove redundant
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Apache Spark reassigned SPARK-25184:
Assignee: (was: Apache Spark)
> Flaky test: FlatMapGroupsWithState "streaming with
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Apache Spark reassigned SPARK-25184:
Assignee: Apache Spark
> Flaky test: FlatMapGroupsWithState "streaming with processing
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Apache Spark commented on SPARK-25184:
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User 'tdas' has created a pull request for this issue:
Tathagata Das created SPARK-25184:
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Summary: Flaky test: FlatMapGroupsWithState "streaming with
processing time timeout"
Key: SPARK-25184
URL: https://issues.apache.org/jira/browse/SPARK-25184
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Apache Spark reassigned SPARK-25163:
Assignee: Apache Spark
> Flaky test:
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Apache Spark reassigned SPARK-25163:
Assignee: (was: Apache Spark)
> Flaky test:
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Apache Spark commented on SPARK-25163:
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User 'viirya' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-25174?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-25174:
Assignee: Apache Spark
> ApplicationMaster suspends when unregistering itself from RM
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Apache Spark commented on SPARK-25174:
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User 'yaooqinn' has created a pull request for this issue:
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Apache Spark reassigned SPARK-25174:
Assignee: (was: Apache Spark)
> ApplicationMaster suspends when unregistering itself
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Tathagata Das commented on SPARK-24763:
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They will be. The merge script always puts the major
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Apache Spark commented on SPARK-23131:
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User 'wangyum' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-25127?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin reassigned SPARK-25127:
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Assignee: Reynold Xin
> DataSourceV2: Remove SupportsPushDownCatalystFilters
>
Steve Loughran created SPARK-25183:
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Summary: Spark HiveServer2 registers shutdown hook with JVM, not
ShutdownHookManager; race conditions can arise
Key: SPARK-25183
URL:
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Bruce Robbins commented on SPARK-25164:
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[~viirya] Sure. I will try to get something up by tonight
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Yunjian Zhang commented on SPARK-25119:
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create PR as below
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Liang-Chi Hsieh edited comment on SPARK-25164 at 8/21/18 11:30 PM:
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Liang-Chi Hsieh commented on SPARK-25164:
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This is easy and looks good to have. [~bersprockets]
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Apache Spark reassigned SPARK-25181:
Assignee: (was: Apache Spark)
> Block Manager master and slave thread pools are
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Apache Spark reassigned SPARK-25181:
Assignee: Apache Spark
> Block Manager master and slave thread pools are unbounded
>
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Apache Spark commented on SPARK-25181:
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User 'mukulmurthy' has created a pull request for this
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Mukul Murthy resolved SPARK-25182.
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Resolution: Duplicate
Target Version/s: (was: 2.4.0)
> Block Manager master and
Mukul Murthy created SPARK-25182:
Summary: Block Manager master and slave thread pools are unbounded
Key: SPARK-25182
URL: https://issues.apache.org/jira/browse/SPARK-25182
Project: Spark
Mukul Murthy created SPARK-25181:
Summary: Block Manager master and slave thread pools are unbounded
Key: SPARK-25181
URL: https://issues.apache.org/jira/browse/SPARK-25181
Project: Spark
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Xiao Li commented on SPARK-25114:
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Let us update the fix version after the fix of 2.2 is merged
>
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Xiao Li resolved SPARK-25114.
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Resolution: Fixed
Assignee: Jiang Xingbo
Fix Version/s: 2.4.0
2.3.2
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Xiangrui Meng resolved SPARK-25095.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 22085
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Xiangrui Meng reassigned SPARK-25095:
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Assignee: Jiang Xingbo
> Python support for BarrierTaskContext
>
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Apache Spark commented on SPARK-24564:
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User 'bersprockets' has created a pull request for this
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Apache Spark commented on SPARK-25114:
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User 'bersprockets' has created a pull request for this
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Dilip Biswal edited comment on SPARK-25168 at 8/21/18 10:47 PM:
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Jungtaek Lim commented on SPARK-24763:
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[~tdas]
One question regarding fix version: I guess we
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Tathagata Das reassigned SPARK-24441:
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Assignee: Jungtaek Lim
> Expose total estimated size of states in
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Tathagata Das resolved SPARK-24441.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 21469
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Tathagata Das reassigned SPARK-24763:
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Assignee: Jungtaek Lim (was: Tathagata Das)
> Remove redundant key data from value in
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Tathagata Das reassigned SPARK-24763:
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Assignee: Tathagata Das
> Remove redundant key data from value in streaming
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Tathagata Das resolved SPARK-24763.
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Resolution: Done
Fix Version/s: 3.0.0
2.4.0
> Remove redundant
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Joseph K. Bradley resolved SPARK-25149.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 22139
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Joseph K. Bradley reassigned SPARK-25149:
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Assignee: Bago Amirbekian
> Personalized PageRank raises an error if vertexIDs
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Joseph K. Bradley updated SPARK-25149:
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Summary: Personalized PageRank raises an error if vertexIDs are > MaxInt
(was:
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Xiao Li updated SPARK-24307:
Labels: release-notes (was: releasenotes)
> Support sending messages over 2GB from memory
>
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Xiao Li updated SPARK-24307:
Labels: releasenotes (was: )
> Support sending messages over 2GB from memory
>
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DB Tsai commented on SPARK-25050:
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We handle more than two types in avro when reading into spark, but
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DB Tsai updated SPARK-25050:
Summary: Handle more than two types in avro union types when writing avro
files (was: Handle more than
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Steve Loughran commented on SPARK-6305:
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1. exclusion of log4j 1.x
you can only safely exclude it
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Steve Loughran commented on SPARK-25180:
FWIW, there was no in-progress data at the dest store,
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Yinan Li commented on SPARK-25162:
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We actually moved away from using the IP address of the driver pod
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Steve Loughran commented on SPARK-25180:
Netty converts the UnknownHostException into an IOE in
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Joseph K. Bradley updated SPARK-25149:
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Shepherd: Joseph K. Bradley
> Personalized Page Rank raises an error if vertexIDs are
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Steve Loughran commented on SPARK-25180:
Stack
{code}
scala> text("hello all!")
res10: String =
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Steve Loughran commented on SPARK-25180:
code snippet was some trivial CSV => ORC with both src
Steve Loughran created SPARK-25180:
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Summary: Spark standalone failure in Utils.doFetchFile() if
nslookup of local hostname fails
Key: SPARK-25180
URL: https://issues.apache.org/jira/browse/SPARK-25180
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Sean Owen commented on SPARK-6305:
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It was a mess. Excluding dependencies is an ongoing issue because
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Dilip Biswal commented on SPARK-25168:
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[~cloud_fan] OK.. Let me close this then since we are
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Alexander commented on SPARK-7768:
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It's been a while since this had any activity. What is the
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Kazuaki Ishizaki commented on SPARK-25178:
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[~rednaxelafx] Thank you for opening a JIRA entry
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Xiao Li reassigned SPARK-25179:
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Assignee: Bryan Cutler
> Document the features that require Pyarrow 0.10
>
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Xiao Li updated SPARK-25179:
Description: binary type support requires pyarrow 0.10.0. (was: binary
type support requires pyarrow
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Xiao Li commented on SPARK-25179:
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Thanks! It is not urgent as long as it is documented before we
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Bryan Cutler commented on SPARK-25179:
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I can work on this, probably can't get to it right away tho
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Bryan Cutler updated SPARK-25179:
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Description: binary type support requires pyarrow 0.10.0
> Document the features that require
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Apache Spark commented on SPARK-22779:
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User 'GregOwen' has created a pull request for this issue:
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Imran Rashid resolved SPARK-6236.
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Resolution: Fixed
Fix Version/s: 2.4.0
As mentioned above, this was covered elsewhere,
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Markus Breuer commented on SPARK-24961:
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Some notes to your last comment:
Reducing number of
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Xiao Li commented on SPARK-25179:
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cc [~bryanc]
> Document the features that require Pyarrow 0.10
>
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Xiao Li updated SPARK-25179:
Issue Type: Documentation (was: Improvement)
> Document the features that require Pyarrow 0.10
>
Xiao Li created SPARK-25179:
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Summary: Document the features that require Pyarrow 0.10
Key: SPARK-25179
URL: https://issues.apache.org/jira/browse/SPARK-25179
Project: Spark
Issue Type:
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Xiao Li commented on SPARK-25178:
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cc [~kiszk] Do you have a bandwidth to take this?
> Use dummy name
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Marcelo Vanzin resolved SPARK-24296.
Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21451
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Marcelo Vanzin reassigned SPARK-24296:
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Assignee: Imran Rashid
> Support replicating blocks larger than 2 GB
>
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Kris Mok commented on SPARK-25178:
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FYI: I've just come across this behavior and raised a ticket so
Kris Mok created SPARK-25178:
Summary: Use dummy name for xxxHashMapGenerator key/value schema
field
Key: SPARK-25178
URL: https://issues.apache.org/jira/browse/SPARK-25178
Project: Spark
Issue
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Chris Martin commented on SPARK-6305:
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[~srowen]
I've taken a look at this and I'd like to sync up
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Apache Spark commented on SPARK-24335:
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User 'redsanket' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-23874?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16587770#comment-16587770
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Bryan Cutler commented on SPARK-23874:
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Yes, I still would recommend users upgrade pyarrow if
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Marcelo Vanzin resolved SPARK-25173.
Resolution: Duplicate
> fail to pass kerberos authentification on executers
>
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Marcelo Vanzin resolved SPARK-25172.
Resolution: Invalid
Please use the mailing list for questions:
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Xiao Li commented on SPARK-23874:
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Great! Then, users can keep using pyarrow 0.8 and get the fixes we
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Xiangrui Meng reassigned SPARK-25161:
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Assignee: Jiang Xingbo
> Fix several bugs in failure handling of barrier execution
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https://issues.apache.org/jira/browse/SPARK-25161?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-25161.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 22158
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https://issues.apache.org/jira/browse/SPARK-25177?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-25177:
Assignee: Apache Spark
> When dataframe decimal type column having scale higher than 6,
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https://issues.apache.org/jira/browse/SPARK-25177?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-25177:
Assignee: (was: Apache Spark)
> When dataframe decimal type column having scale
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https://issues.apache.org/jira/browse/SPARK-25177?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16587578#comment-16587578
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Apache Spark commented on SPARK-25177:
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User 'vinodkc' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-25177?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Vinod KC updated SPARK-25177:
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Description:
If scale of decimal type is > 6 , 0 value will be shown in scientific notation
and hence,
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https://issues.apache.org/jira/browse/SPARK-25177?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Vinod KC updated SPARK-25177:
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Description:
If scale of decimal type is > 6 , 0 value will be shown in scientific notation
and hence,
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https://issues.apache.org/jira/browse/SPARK-25177?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Vinod KC updated SPARK-25177:
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Description:
If scale of decimal type is > 6 , 0 value will be shown in scientific notation
and hence,
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https://issues.apache.org/jira/browse/SPARK-25177?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Vinod KC updated SPARK-25177:
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Summary: When dataframe decimal type column having scale higher than 6, 0
values are shown in
Vinod KC created SPARK-25177:
Summary: When dataframe decimal type column having a scale higher
than 6, 0 values are shown in scientific notation
Key: SPARK-25177
URL:
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https://issues.apache.org/jira/browse/SPARK-25176?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mikhail Pryakhin updated SPARK-25176:
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Description:
I'm using the latest spark version spark-core_2.11:2.3.1 which
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https://issues.apache.org/jira/browse/SPARK-25176?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mikhail Pryakhin updated SPARK-25176:
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Description:
I'm using the latest spark version spark-core_2.11:2.3.1 which
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