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Apache Spark reassigned SPARK-20640:
Assignee: Apache Spark
> Make rpc timeout and retry for shuffle registration configurable
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Apache Spark reassigned SPARK-20640:
Assignee: (was: Apache Spark)
> Make rpc timeout and retry for shuffle registration
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Xiao Li closed SPARK-20565.
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Resolution: Fixed
Fix Version/s: 2.3.0
> Improve the error message for unsupported JDBC types
>
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Apache Spark commented on SPARK-20640:
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User 'liyichao' has created a pull request for this issue:
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Xiao Li commented on SPARK-20565:
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Fixed in https://github.com/apache/spark/pull/17835
> Improve the
Nick Lothian created SPARK-20878:
Summary: Pyspark date string parsing erroneously treats 1 as 10
Key: SPARK-20878
URL: https://issues.apache.org/jira/browse/SPARK-20878
Project: Spark
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liuxian updated SPARK-20876:
Description:
spark-sql>SELECT ceil(cast(12345.1233 as float));
spark-sql>12345
For this case, the result
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liuxian updated SPARK-20876:
Description:
spark-sql>SELECT ceil(cast(12345.1233 as float));
spark-sql>12345
For this case, we expected
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Santhavathi S commented on SPARK-4131:
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Is this feature available yet?
> Support "Writing data into
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liuxian updated SPARK-20876:
Summary: if the input parameter is float type for ceil or floor ,the
result is not we expected (was: if
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Xiao Li reassigned SPARK-20873:
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Assignee: (was: Xiao Li)
> Improve the error message for unsupported Column Type
>
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Apache Spark reassigned SPARK-20877:
Assignee: Apache Spark
> Investigate if tests will time out on CRAN
>
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Apache Spark reassigned SPARK-20877:
Assignee: (was: Apache Spark)
> Investigate if tests will time out on CRAN
>
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Apache Spark commented on SPARK-20877:
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User 'felixcheung' has created a pull request for this
Felix Cheung created SPARK-20877:
Summary: Investigate if tests will time out on CRAN
Key: SPARK-20877
URL: https://issues.apache.org/jira/browse/SPARK-20877
Project: Spark
Issue Type:
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Apache Spark reassigned SPARK-20876:
Assignee: (was: Apache Spark)
> if the input parameter is float type for ceil ,the
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Apache Spark reassigned SPARK-20876:
Assignee: Apache Spark
> if the input parameter is float type for ceil ,the result is
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Apache Spark commented on SPARK-20876:
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User '10110346' has created a pull request for this issue:
liuxian created SPARK-20876:
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Summary: if the input parameter is float type for ceil ,the
result is not we expected
Key: SPARK-20876
URL: https://issues.apache.org/jira/browse/SPARK-20876
Project: Spark
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Apache Spark reassigned SPARK-20875:
Assignee: Apache Spark
> Spark should print the log when the directory has been deleted
>
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Apache Spark reassigned SPARK-20875:
Assignee: (was: Apache Spark)
> Spark should print the log when the directory has
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Apache Spark commented on SPARK-20875:
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User 'liu-zhaokun' has created a pull request for this
liuzhaokun created SPARK-20875:
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Summary: Spark should print the log when the directory has been
deleted
Key: SPARK-20875
URL: https://issues.apache.org/jira/browse/SPARK-20875
Project: Spark
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Rupesh Mane commented on SPARK-18105:
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For the stack provided earlier, I found the root cause: Issue
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Apache Spark reassigned SPARK-20874:
Assignee: Shixiong Zhu (was: Apache Spark)
> The "examples" project doesn't depend on
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Apache Spark reassigned SPARK-20874:
Assignee: Apache Spark (was: Shixiong Zhu)
> The "examples" project doesn't depend on
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Apache Spark commented on SPARK-20874:
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User 'zsxwing' has created a pull request for this issue:
Shixiong Zhu created SPARK-20874:
Summary: The "examples" project doesn't depend on Structured
Streaming Kafka source
Key: SPARK-20874
URL: https://issues.apache.org/jira/browse/SPARK-20874
Project:
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Xiao Li resolved SPARK-20403.
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Resolution: Fixed
Assignee: liuxian
Fix Version/s: 2.2.0
> It is wrong to the
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Wenchen Fan updated SPARK-18406:
Fix Version/s: 2.1.2
> Race between end-of-task and completion iterator read lock release
>
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Xiao Li resolved SPARK-20872.
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Resolution: Fixed
Fix Version/s: 2.2.0
> ShuffleExchange.nodeName should handle null coordinator
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Xiao Li reassigned SPARK-20872:
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Assignee: Kris Mok
> ShuffleExchange.nodeName should handle null coordinator
>
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Marcelo Vanzin resolved SPARK-20205.
Resolution: Fixed
Assignee: Marcelo Vanzin
Fix Version/s: 2.3.0
>
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Apache Spark commented on SPARK-20848:
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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-20589?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16023769#comment-16023769
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Mark Nelson commented on SPARK-20589:
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I would find this very useful. We're currently using coalesce
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Apache Spark commented on SPARK-18406:
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User 'jiangxb1987' has created a pull request for this
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Xiao Li updated SPARK-18406:
Fix Version/s: 2.0.3
> Race between end-of-task and completion iterator read lock release
>
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Apache Spark reassigned SPARK-16944:
Assignee: (was: Apache Spark)
> [MESOS] Improve data locality when launching new
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Apache Spark reassigned SPARK-16944:
Assignee: Apache Spark
> [MESOS] Improve data locality when launching new executors when
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Apache Spark commented on SPARK-16944:
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User 'gpang' has created a pull request for this issue:
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Kris Mok updated SPARK-20872:
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Description:
A ShuffleExchange's coordinator can be null sometimes, and when we need to do a
toString()
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Apache Spark commented on SPARK-20873:
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User 'setjet' has created a pull request for this issue:
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Apache Spark reassigned SPARK-20873:
Assignee: Apache Spark (was: Xiao Li)
> Improve the error message for unsupported Column
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Apache Spark reassigned SPARK-20873:
Assignee: Xiao Li (was: Apache Spark)
> Improve the error message for unsupported Column
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Ruben Janssen updated SPARK-20873:
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Description:
For unsupported column type, we simply output the column type instead of the
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Ruben Janssen updated SPARK-20873:
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Description:
For unsupported column type, we simply output the column type instead of the
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Ruben Janssen updated SPARK-20873:
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Description:
For unsupported column type, we simply output the column type instead of the
Ruben Janssen created SPARK-20873:
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Summary: Improve the error message for unsupported Column Type
Key: SPARK-20873
URL: https://issues.apache.org/jira/browse/SPARK-20873
Project: Spark
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Apache Spark commented on SPARK-18406:
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User 'jiangxb1987' has created a pull request for this
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Nick Pentreath closed SPARK-6000.
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Resolution: Duplicate
> Batch K-Means clusters should support "mini-batch" updates
>
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Nick Pentreath commented on SPARK-14174:
It makes sense. However, I think k=100 is perhaps less
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Apache Spark reassigned SPARK-20872:
Assignee: Apache Spark
> ShuffleExchange.nodeName should handle null coordinator
>
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Apache Spark reassigned SPARK-20872:
Assignee: (was: Apache Spark)
> ShuffleExchange.nodeName should handle null
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Apache Spark commented on SPARK-20872:
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User 'rednaxelafx' has created a pull request for this
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Kazuaki Ishizaki commented on SPARK-20866:
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I confirmed that it has been fixed in master branch.
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Kris Mok commented on SPARK-20872:
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The said matching logic in ShuffleExchange.nodeName() is introduced
Kris Mok created SPARK-20872:
Summary: ShuffleExchange.nodeName should handle null coordinator
Key: SPARK-20872
URL: https://issues.apache.org/jira/browse/SPARK-20872
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-20775?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-20775:
Assignee: Apache Spark
> from_json should also have an API where the schema is specified
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Michael Armbrust updated SPARK-20865:
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Description:
{code}
SparkSession
.builder
.master("local[*]")
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Apache Spark reassigned SPARK-20775:
Assignee: (was: Apache Spark)
> from_json should also have an API where the schema is
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Apache Spark commented on SPARK-20775:
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User 'setjet' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-4899?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16023383#comment-16023383
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Michael Gummelt commented on SPARK-4899:
Thanks Kamal. I responded to the thread, which I'll copy
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Felix Cheung commented on SPARK-20815:
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Thanks Sean
> NullPointerException in
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Felix Cheung reassigned SPARK-20815:
Assignee: James Shuster
> NullPointerException in RPackageUtils#checkManifestForR
>
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Apache Spark reassigned SPARK-20774:
Assignee: (was: Apache Spark)
> BroadcastExchangeExec doesn't cancel the Spark job if
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Apache Spark reassigned SPARK-20774:
Assignee: Apache Spark
> BroadcastExchangeExec doesn't cancel the Spark job if
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Apache Spark commented on SPARK-20774:
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User 'liyichao' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-20660?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=1602#comment-1602
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Michel Lemay commented on SPARK-20660:
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In my opinion, two schema should be considered the same if
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Glen Takahashi edited comment on SPARK-20871 at 5/24/17 5:46 PM:
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Just
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Glen Takahashi updated SPARK-20871:
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Attachment: 6a57e344-3fcf-11e7-85cc-52a06df2a489.png
An example of Janino logging adding
Glen Takahashi created SPARK-20871:
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Summary: Only log Janino code in debug mode
Key: SPARK-20871
URL: https://issues.apache.org/jira/browse/SPARK-20871
Project: Spark
Issue Type:
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Xiao Li updated SPARK-20870:
Labels: starter (was: )
> Update the output of spark-sql -H
> -
>
>
Xiao Li created SPARK-20870:
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Summary: Update the output of spark-sql -H
Key: SPARK-20870
URL: https://issues.apache.org/jira/browse/SPARK-20870
Project: Spark
Issue Type: Bug
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lyc edited comment on SPARK-20660 at 5/24/17 5:02 PM:
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Do you expect spark to fail
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lyc commented on SPARK-20660:
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Do you expect spark to fail the query?
> Not able to merge Dataframes with
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lyc updated SPARK-20869:
Summary: Master may clear failed apps when worker down (was: Master should
clear failed apps when worker down)
>
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lyc updated SPARK-20869:
Remaining Estimate: 2h (was: 24h)
Original Estimate: 2h (was: 24h)
> Master should clear failed apps when
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lyc updated SPARK-20869:
Description:
In `Master.removeWorker`, master clears executor and driver state, but does not
clear app state. App
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lyc updated SPARK-20869:
Description:
In `Master.removeWorker`, master clears executor and driver state, but does not
clear app state. App
lyc created SPARK-20869:
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Summary: Master should clear failed apps when worker down
Key: SPARK-20869
URL: https://issues.apache.org/jira/browse/SPARK-20869
Project: Spark
Issue Type: Improvement
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Wenchen Fan resolved SPARK-20848.
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Resolution: Fixed
Assignee: Liang-Chi Hsieh
Fix Version/s: 2.2.0
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Apache Spark reassigned SPARK-20868:
Assignee: Apache Spark (was: Wenchen Fan)
> UnsafeShuffleWriter should verify the
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Apache Spark commented on SPARK-20868:
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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-20868?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-20868:
Assignee: Wenchen Fan (was: Apache Spark)
> UnsafeShuffleWriter should verify the
Wenchen Fan created SPARK-20868:
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Summary: UnsafeShuffleWriter should verify the position after
FileChannel.transferTo
Key: SPARK-20868
URL: https://issues.apache.org/jira/browse/SPARK-20868
Project:
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Colin Breame updated SPARK-20866:
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Description:
The Dataset.map does not respect the nullable fields within the schema.
*Test
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Apache Spark reassigned SPARK-20250:
Assignee: (was: Apache Spark)
> Improper OOM error when a task been killed while
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Apache Spark reassigned SPARK-20250:
Assignee: Apache Spark
> Improper OOM error when a task been killed while spilling data
>
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Apache Spark commented on SPARK-20250:
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User 'ConeyLiu' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-18105?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16023072#comment-16023072
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Wenchen Fan edited comment on SPARK-18105 at 5/24/17 3:13 PM:
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can you try
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https://issues.apache.org/jira/browse/SPARK-18105?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16023072#comment-16023072
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Wenchen Fan edited comment on SPARK-18105 at 5/24/17 3:13 PM:
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can you try
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https://issues.apache.org/jira/browse/SPARK-18105?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16023072#comment-16023072
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Wenchen Fan commented on SPARK-18105:
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can you try to set {{{spark.file.transferTo}}} to false and
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https://issues.apache.org/jira/browse/SPARK-18105?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16023072#comment-16023072
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Wenchen Fan edited comment on SPARK-18105 at 5/24/17 3:12 PM:
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can you try
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https://issues.apache.org/jira/browse/SPARK-19281?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16023069#comment-16023069
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Apache Spark commented on SPARK-19281:
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User 'yanboliang' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-20862?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang resolved SPARK-20862.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.2
2.0.3
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https://issues.apache.org/jira/browse/SPARK-20862?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang reassigned SPARK-20862:
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Assignee: Bago Amirbekian
> LogisticRegressionModel throws TypeError
>
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https://issues.apache.org/jira/browse/SPARK-20768?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang reassigned SPARK-20768:
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Assignee: Yan Facai (颜发才)
> PySpark FPGrowth does not expose numPartitions (expert) param
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https://issues.apache.org/jira/browse/SPARK-20799?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Steve Loughran updated SPARK-20799:
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Summary: Unable to infer schema for ORC on S3N when secrets are in the URL
(was: Unable to
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https://issues.apache.org/jira/browse/SPARK-20867?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-20867:
Assignee: Apache Spark (was: Reynold Xin)
> Move individual hints from Statistics into
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https://issues.apache.org/jira/browse/SPARK-20867?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-20867:
Assignee: Reynold Xin (was: Apache Spark)
> Move individual hints from Statistics into
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