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Andrew Ash commented on SPARK-3736:
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The configuration for Hadoop's retry policy was
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Andrew Ash updated SPARK-3940:
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Description:
if an error of SQL,the console print Error three times。
eg:
{noformat}
spark-sql show
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Andrew Ash updated SPARK-3940:
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Fix Version/s: (was: 1.3.0)
(was: 1.0.3)
Print the error code three times
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Andrew Ash updated SPARK-3940:
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Target Version/s: 1.1.1, 1.2.0 (was: 1.1.0)
Print the error code three times
Adrian Wang created SPARK-3988:
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Summary: Public API for DateType support
Key: SPARK-3988
URL: https://issues.apache.org/jira/browse/SPARK-3988
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-3541?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-3541:
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Shepherd: (was: Xiangrui Meng)
Improve ALS internal storage
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Xiangrui Meng commented on SPARK-2426:
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[~debasish83] Thanks for working on this
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Andrew Or closed SPARK-3606.
Resolution: Fixed
Fix Version/s: 1.1.1
Spark-on-Yarn AmIpFilter does not work with Yarn HA.
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Apache Spark commented on SPARK-3900:
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User 'sarutak' has created a pull request for
Jan Zikeš created SPARK-3989:
Summary: Added the possibility to install Python packages via pip
for pyspark directly from the ./spark_ec2 command
Key: SPARK-3989
URL: https://issues.apache.org/jira/browse/SPARK-3989
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Jan Zikeš commented on SPARK-3989:
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Implemented and sent pull request here:
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Apache Spark commented on SPARK-3989:
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User 'ziky90' has created a pull request for
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https://issues.apache.org/jira/browse/SPARK-3694?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14174981#comment-14174981
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Ilya Ganelin commented on SPARK-3694:
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Hello. I would like to work on this. Can you
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Thomas Graves commented on SPARK-3877:
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[~vanzin] I agree. The user code should be
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Dev Lakhani commented on SPARK-576:
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I've created a PR for this:
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Fred Cons commented on SPARK-2649:
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[~npanj] [~rxin] I ran into this issue, and the
Gen TANG created SPARK-3990:
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Summary: kryo.KryoException caused by ALS.trainImplicit in pyspark
Key: SPARK-3990
URL: https://issues.apache.org/jira/browse/SPARK-3990
Project: Spark
Issue Type:
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Gen TANG updated SPARK-3990:
Description:
When we tried ALS.trainImplicit() in pyspark environment, it only works for
iterations = 1.
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Gen TANG updated SPARK-3990:
I think this problem is related to
https://issues.apache.org/jira/browse/SPARK-1977
kryo.KryoException
eblaas created SPARK-3991:
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Summary: Not Serializable , Nullpinter Exceptions in SQL server
mode
Key: SPARK-3991
URL: https://issues.apache.org/jira/browse/SPARK-3991
Project: Spark
Issue Type: Bug
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eblaas updated SPARK-3991:
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Attachment: not_serializable_exception.patch
Not Serializable , Nullpinter Exceptions in SQL server mode
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Debasish Das commented on SPARK-2426:
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1. [~mengxr] Our legal was clear that Stanford
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Brenden Matthews commented on SPARK-3817:
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Appears to be a duplicate of SPARK-2445
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Andrew Or closed SPARK-3935.
Resolution: Fixed
Fix Version/s: 1.2.0
Unused variable in PairRDDFunctions.scala
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Walter Bogorad updated SPARK-3992:
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Description:
A dictionary accumulator defined as a global variable is not visible inside a
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Thomas Graves resolved SPARK-3979.
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Resolution: Fixed
Fix Version/s: 1.2.0
Yarn backend's default file replication should
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Sean Owen commented on SPARK-2426:
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Regarding licensing, if the code is BSD licensed then
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Apache Spark commented on SPARK-3993:
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User 'davies' has created a pull request for
Davies Liu created SPARK-3993:
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Summary: python worker may hang after reused from take()
Key: SPARK-3993
URL: https://issues.apache.org/jira/browse/SPARK-3993
Project: Spark
Issue Type: Bug
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Patrick Wendell resolved SPARK-3855.
Resolution: Fixed
Fix Version/s: 1.2.0
Binding Exception when running PythonUDFs
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Reza Zadeh commented on SPARK-3434:
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Thanks Shivaram! As discussed over the phone, we
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Aaron Davidson reassigned SPARK-3994:
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Assignee: Aaron Davidson
countByKey / countByValue do not go through Aggregator
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Josh Rosen resolved SPARK-3985.
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Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 2834
Aaron Davidson created SPARK-3994:
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Summary: countByKey / countByValue do not go through Aggregator
Key: SPARK-3994
URL: https://issues.apache.org/jira/browse/SPARK-3994
Project: Spark
Issue
Jeremy Freeman created SPARK-3995:
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Summary: pyspark's sample methods do not work with NumPy 1.9
Key: SPARK-3995
URL: https://issues.apache.org/jira/browse/SPARK-3995
Project: Spark
Issue
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Xiangrui Meng resolved SPARK-3934.
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Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 2785
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Jeremy Freeman updated SPARK-3995:
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Description:
There is a breaking bug in PySpark's sampling methods when run with NumPy v1.9.
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Jeremy Freeman updated SPARK-3995:
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Description:
There is a breaking bug in PySpark's sampling methods when run with NumPy v1.9.
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Jeremy Freeman updated SPARK-3995:
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Description:
There is a breaking bug in PySpark's sampling methods when run with NumPy v1.9.
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Jeremy Freeman updated SPARK-3995:
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Description:
There is a breaking bug in PySpark's sampling methods when run with NumPy v1.9.
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Jeremy Freeman updated SPARK-3995:
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Description:
There is a breaking bug in PySpark's sampling methods when run with NumPy v1.9.
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Jeremy Freeman updated SPARK-3995:
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Description:
There is a breaking bug in PySpark's sampling methods when run with NumPy v1.9.
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Apache Spark commented on SPARK-3994:
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User 'aarondav' has created a pull request for
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Ryan Williams commented on SPARK-3967:
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I've been debugging this issue as well and I
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Ryan Williams updated SPARK-3967:
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Attachment: spark-1.1.0-utils-fetch.patch
Don't redundantly copy executor dependency files in
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Jeremy Freeman updated SPARK-3995:
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Description:
There is a breaking bug in PySpark's sampling methods when run with NumPy v1.9.
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https://issues.apache.org/jira/browse/SPARK-3990?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14175671#comment-14175671
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Xiangrui Meng commented on SPARK-3990:
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In PySpark 1.1, we switched to Kryo
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Joseph K. Bradley updated SPARK-3164:
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Description:
Improvement: computation
For categorical features with many categories, it
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Andrew Ash updated SPARK-534:
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Description:
SparkEnv (used by SparkContext) is not thread-safe and it causes issues with
scala's Futures
Mingyu Kim created SPARK-3996:
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Summary: Shade Jetty in Spark deliverables
Key: SPARK-3996
URL: https://issues.apache.org/jira/browse/SPARK-3996
Project: Spark
Issue Type: Task
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Sean Owen commented on SPARK-3967:
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You guys should make PRs for these. I am also not
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Xiangrui Meng updated SPARK-3161:
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Assignee: Sung Chung
Cache example-node map for DecisionTree training
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Andrew Or closed SPARK-3935.
Resolution: Fixed
Unused variable in PairRDDFunctions.scala
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Andrew Or reopened SPARK-3935:
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Assignee: wangfei
Unused variable in PairRDDFunctions.scala
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Andrew Or updated SPARK-3888:
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Affects Version/s: 1.1.0
Limit the memory used by python worker
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Andrew Or updated SPARK-3822:
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Affects Version/s: 1.1.0
Expose a mechanism for SparkContext to ask for / remove Yarn containers
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Apache Spark commented on SPARK-3822:
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User 'andrewor14' has created a pull request
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https://issues.apache.org/jira/browse/SPARK-3135?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14175838#comment-14175838
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Reynold Xin commented on SPARK-3135:
Is the memory usage lower on the master branch vs
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