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Jean-Baptiste Onofré commented on SPARK-10942:
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Let me try it on one of my environment.
>
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RaviShankar KS updated SPARK-10967:
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Target Version/s: 1.5.1, 1.4.1 (was: 1.5.1, 1.6.0)
> Incorrect Join behavior in filter
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RaviShankar KS updated SPARK-10967:
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Environment: RHEL (was: Ubuntu on AWS)
> Incorrect Join behavior in filter conditions
>
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RaviShankar KS updated SPARK-10967:
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Description:
We notice that the join conditions are not working as expected in the case of
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RaviShankar KS updated SPARK-10967:
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Description:
We notice that the join conditions are not working as expected in the case of
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RaviShankar KS updated SPARK-10967:
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Description:
We notice that the join conditions are not working as expected in the case of
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RaviShankar KS updated SPARK-10967:
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Description:
We notice that the join conditions are not working as expected in the case of
RaviShankar KS created SPARK-10967:
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Summary: Incorrect Join behavior in filter conditions
Key: SPARK-10967
URL: https://issues.apache.org/jira/browse/SPARK-10967
Project: Spark
Issue Type:
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Curtis Wilde edited comment on SPARK-10937 at 10/6/15 3:47 PM:
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{{val props
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Curtis Wilde edited comment on SPARK-10937 at 10/6/15 3:47 PM:
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Curtis Wilde edited comment on SPARK-10937 at 10/6/15 3:46 PM:
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{{val props
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Curtis Wilde edited comment on SPARK-10937 at 10/6/15 3:46 PM:
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{{val props
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Davies Liu resolved SPARK-10938.
Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 8989
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Curtis Wilde commented on SPARK-10937:
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{{val props = sys.props("java.class.path")
val sysprops =
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Curtis Wilde edited comment on SPARK-10937 at 10/6/15 3:46 PM:
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{{val props
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Cody Koeninger commented on SPARK-5569:
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The gist I originally posted, linked at the top of this
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Khaled Ammar commented on SPARK-10945:
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Actually, I am not sure. I did not know this is a condition
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Kevin Cox commented on SPARK-10306:
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Could the solution be shared. There are a couple of people running
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Khaled Ammar commented on SPARK-10945:
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Hi,
I found what might seem as a good starting point.
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koert kuipers commented on SPARK-10185:
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someone else is also running into this:
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Khaled Ammar commented on SPARK-10945:
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Thank you Sean,
The file looks like sorted, based on first
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Sean Owen commented on SPARK-10945:
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I'm not 100% sure it's required, but I see the reader does not
Steve Loughran created SPARK-10950:
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Summary: ApplicationHistoryInfo to include spark version; History
Server to report incompatibility with later versions
Key: SPARK-10950
URL:
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Steve Loughran commented on SPARK-10950:
There's a less elegant solution which wouldn't address
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Curtis Wilde edited comment on SPARK-10937 at 10/6/15 3:55 PM:
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RaviShankar KS updated SPARK-10967:
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Description: (was: According to the [Hive Language
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Apache Spark reassigned SPARK-10963:
Assignee: (was: Apache Spark)
> Make KafkaCluster api public
>
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Apache Spark commented on SPARK-10963:
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User 'koeninger' has created a pull request for this issue:
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Apache Spark commented on SPARK-9478:
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User 'rotationsymmetry' has created a pull request for this
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Apache Spark reassigned SPARK-9478:
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Assignee: (was: Apache Spark)
> Add class weights to Random Forest
>
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Apache Spark reassigned SPARK-9478:
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Assignee: Apache Spark
> Add class weights to Random Forest
>
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Joseph K. Bradley updated SPARK-5565:
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Assignee: Joseph K. Bradley
> LDA wrapper for spark.ml package
>
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Joseph K. Bradley commented on SPARK-5565:
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I'm writing a design doc and will post it soon.
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Felix Cheung commented on SPARK-9325:
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My comment was on collect(df$Age). As I've stated,
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Apache Spark commented on SPARK-10812:
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User 'vanzin' has created a pull request for this issue:
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Davies Liu updated SPARK-10810:
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Attachment: Session management in Spark SQL 1.6.pdf
Design doc
> Improve session management for SQL
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Jia Li commented on SPARK-10794:
I tried the repro steps on spark 1.5.0 for hadoop 2.6 and did not see
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Apache Spark commented on SPARK-10902:
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User 'davies' has created a pull request for this issue:
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Jihong MA commented on SPARK-10953:
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[~mengxr] do you mean comparing an implementation which operate
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Apache Spark reassigned SPARK-10902:
Assignee: Apache Spark
> Hive UDF current_database() does not work
>
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Apache Spark reassigned SPARK-10902:
Assignee: (was: Apache Spark)
> Hive UDF current_database() does not work
>
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Jia Li updated SPARK-10794:
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Attachment: spark_1_5_0.png
> Spark-SQL- select query on table column with binary Data Type displays error
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Apache Spark reassigned SPARK-10955:
Assignee: Apache Spark
> Disable dynamic allocation for Streaming jobs
>
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Apache Spark reassigned SPARK-10955:
Assignee: (was: Apache Spark)
> Disable dynamic allocation for Streaming jobs
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Marcelo Vanzin commented on SPARK-10326:
Can you post the actual exception?
> Cannot launch YARN
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Jose Antonio commented on SPARK-10326:
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Ok, give a moment its about half past Spai (night) here in
Andrew Or created SPARK-10956:
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Summary: Introduce common memory management interface for
execution and storage
Key: SPARK-10956
URL: https://issues.apache.org/jira/browse/SPARK-10956
Project: Spark
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Miao Wang commented on SPARK-10798:
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@Sean, Thanks for pointing it out. I come from C,C++ and I am
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Ben Moran commented on SPARK-10914:
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Ah, I did it the wrong way around! With a *small* heap and the
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Sandeep Pal commented on SPARK-10940:
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Ok sure, how much do you suggest to increase further.
> Too
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Jerry Lam updated SPARK-10951:
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Summary: Support private S3 repositories using spark-submit via
--repositories flag (was: Support
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Felix Cheung commented on SPARK-9443:
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is this sampleBy
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Andrew Or updated SPARK-10956:
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Description:
Memory management in Spark is currently broken down into two disjoint regions:
one for
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Apache Spark reassigned SPARK-10956:
Assignee: Andrew Or (was: Apache Spark)
> Introduce common memory management interface
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Apache Spark commented on SPARK-10956:
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User 'andrewor14' has created a pull request for this issue:
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Apache Spark reassigned SPARK-10956:
Assignee: Apache Spark (was: Andrew Or)
> Introduce common memory management interface
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Apache Spark commented on SPARK-10913:
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User 'adrian555' has created a pull request for this issue:
Hari Shreedharan created SPARK-10955:
Summary: Disable dynamic allocation for Streaming jobs
Key: SPARK-10955
URL: https://issues.apache.org/jira/browse/SPARK-10955
Project: Spark
Issue
Cheng Lian created SPARK-10954:
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Summary: Parquet version in the "created_by" metadata field of
Parquet files written by Spark 1.5 and 1.6 is wrong
Key: SPARK-10954
URL:
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Apache Spark commented on SPARK-10955:
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User 'harishreedharan' has created a pull request for this
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Jose Antonio commented on SPARK-10326:
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Hi Marcelo. I see the same exact error reported in the
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Pallavi Priyadarshini updated SPARK-10946:
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Summary: JDBC - Use Statement.executeUpdate instead of
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Rekha Joshi commented on SPARK-10942:
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great, thanks [~pnpritchard].In anycase will keep an eye open
Khaled Ammar created SPARK-10945:
Summary: GraphX computes Pagerank with NaN (with some datasets)
Key: SPARK-10945
URL: https://issues.apache.org/jira/browse/SPARK-10945
Project: Spark
Issue
Pallavi Priyadarshini created SPARK-10946:
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Summary: JDBC - Use Statement.execute instead of
PreparedStatement.execute for DDLs
Key: SPARK-10946
URL: https://issues.apache.org/jira/browse/SPARK-10946
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Yanbo Liang commented on SPARK-10513:
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[~mengxr] I'm on vacation until 8th, Oct. The coding almost
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Curtis Wilde commented on SPARK-10937:
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Sorry, I must have misunderstood. I removed the jars from
Xiangrui Meng created SPARK-10957:
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Summary: setParams changes quantileProbabilities unexpectly in
PySpark's AFTSurvivalRegression
Key: SPARK-10957
URL: https://issues.apache.org/jira/browse/SPARK-10957
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Sandeep Pal updated SPARK-10940:
Description:
Executing terasort by Spark-SQL on the data generated by teragen in hadoop.
Data
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Sean Owen commented on SPARK-10914:
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Hm, it could be a valid lead after all. The size estimator code is
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Sandeep Pal commented on SPARK-10940:
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Ok, I will. One more important think I for got to mention. The
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Curtis Wilde edited comment on SPARK-10937 at 10/6/15 7:46 PM:
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It seems I
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Sandeep Pal edited comment on SPARK-10940 at 10/6/15 7:55 PM:
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Ok, I will.
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Xiangrui Meng resolved SPARK-10688.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 8926
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Sean Owen commented on SPARK-10940:
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I mean, just for the sake of testing, 100K? if that's not enough
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Xiangrui Meng updated SPARK-10688:
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Assignee: Kai Jiang
> Python API for AFTSurvivalRegression
>
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Sandeep Pal edited comment on SPARK-10940 at 10/6/15 7:54 PM:
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Ok, I will.
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Apache Spark reassigned SPARK-10957:
Assignee: Xiangrui Meng (was: Apache Spark)
> setParams changes quantileProbabilities
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Apache Spark commented on SPARK-10957:
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User 'mengxr' has created a pull request for this issue:
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Apache Spark reassigned SPARK-10957:
Assignee: Apache Spark (was: Xiangrui Meng)
> setParams changes quantileProbabilities
Tyler Prete created SPARK-10958:
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Summary: Upgrade json4s version to 3.3.0. Formats are now
serializable.
Key: SPARK-10958
URL: https://issues.apache.org/jira/browse/SPARK-10958
Project: Spark
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Apache Spark reassigned SPARK-10959:
Assignee: (was: Apache Spark)
> PySpark StreamingLogisticRegressionWithSGD does not
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Shivaram Venkataraman commented on SPARK-9443:
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Yes. I think so
> Expose sampleByKey in
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Apache Spark reassigned SPARK-10959:
Assignee: Apache Spark
> PySpark StreamingLogisticRegressionWithSGD does not train with
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Apache Spark commented on SPARK-10959:
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User 'BryanCutler' has created a pull request for this
David Wong created SPARK-10960:
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Summary: SQL with windowing function cannot reference column in
inner select block
Key: SPARK-10960
URL: https://issues.apache.org/jira/browse/SPARK-10960
Project: Spark
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Tyler Prete updated SPARK-10958:
Summary: Upgrade json4s version to 3.3.0 to eliminate common serialization
issues with Formats.
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Curtis Wilde updated SPARK-10961:
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Description:
After setting metastore to 0.12.0 in {{spark-defaults.conf}}, spark-shell still
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Hossein Falaki commented on SPARK-9318:
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I agree with the issue being discussed. SparkR should have
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https://issues.apache.org/jira/browse/SPARK-10474?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hans van den Bogert updated SPARK-10474:
Comment: was deleted
(was: One more debug println for the calculated cores (in
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https://issues.apache.org/jira/browse/SPARK-10064?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-10064:
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Shepherd: Joseph K. Bradley
Assignee: Nathan Howell
> Decision tree continuous
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https://issues.apache.org/jira/browse/SPARK-10064?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-10064:
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Priority: Minor (was: Major)
> Decision tree continuous feature binning is slow in
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https://issues.apache.org/jira/browse/SPARK-10960?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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David Wong updated SPARK-10960:
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Description:
There seems to be a bug in the Spark SQL parser when I use windowing functions.
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https://issues.apache.org/jira/browse/SPARK-10382?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-10382:
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Assignee: Xusen Yin (was: Xusen Yin)
> Make example code in user guide testable
>
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https://issues.apache.org/jira/browse/SPARK-10382?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14945917#comment-14945917
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Xiangrui Meng commented on SPARK-10382:
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Assigned. Please keep the initial implementation as simple
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https://issues.apache.org/jira/browse/SPARK-10943?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14945783#comment-14945783
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Jason C Lee commented on SPARK-10943:
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I'd like to work on this. Thanx
> NullType Column cannot be
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https://issues.apache.org/jira/browse/SPARK-10961?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Curtis Wilde updated SPARK-10961:
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Description:
After setting metastore to 0.12.0 in {{spark-defaults.conf}}, spark-shell still
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https://issues.apache.org/jira/browse/SPARK-10779?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-10779:
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Shepherd: Joseph K. Bradley
> Set initialModel for KMeans model in PySpark
Curtis Wilde created SPARK-10961:
Summary: Specified metastore 0.12.0 but spark-shell still using
metastore classes for 0.13+
Key: SPARK-10961
URL: https://issues.apache.org/jira/browse/SPARK-10961
Abhijit Deb created SPARK-10962:
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Summary: DataFrame "except
Key: SPARK-10962
URL: https://issues.apache.org/jira/browse/SPARK-10962
Project: Spark
Issue Type: Improvement
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