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Jeff Zhang commented on SPARK-26257:
I know apache beam provide one abstraction layer for multiple
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Jeff Zhang commented on SPARK-22640:
you need to use spark.yarn.appMasterEnv since you are using yarn
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Jeff Zhang commented on SPARK-22095:
Could you tell how to reproduce this issue ?
>
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Jeff Zhang commented on SPARK-21186:
I think this is due to how spark-deep-learning distribute its
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Jeff Zhang updated SPARK-20249:
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Component/s: PySpark
> Add summary for LinearSVCModel
> --
>
>
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Jeff Zhang commented on SPARK-20249:
Will work on it.
> Add summary for LinearSVCModel
>
Jeff Zhang created SPARK-20249:
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Summary: Add summary for LinearSVCModel
Key: SPARK-20249
URL: https://issues.apache.org/jira/browse/SPARK-20249
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-20001?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15930922#comment-15930922
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Jeff Zhang edited comment on SPARK-20001 at 3/18/17 1:08 PM:
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Thanks
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Jeff Zhang edited comment on SPARK-20001 at 3/18/17 12:17 AM:
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Thanks
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Jeff Zhang edited comment on SPARK-20001 at 3/18/17 12:14 AM:
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Thanks
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Jeff Zhang updated SPARK-20001:
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Comment: was deleted
(was: Thanks [~dansanduleac] It looks like we are do similar things, recently I
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Jeff Zhang commented on SPARK-20001:
Thanks [~dansanduleac] It looks like we are do similar things,
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Jeff Zhang commented on SPARK-20001:
Thanks [~dansanduleac] It looks like we are do similar things,
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Jeff Zhang commented on SPARK-13587:
I linked a detailed document about how to use it in both batch
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Jeff Zhang commented on SPARK-19439:
Make sense, I will work on it.
> PySpark's
Jeff Zhang created SPARK-19572:
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Summary: Allow to disable hive in sparkR shell
Key: SPARK-19572
URL: https://issues.apache.org/jira/browse/SPARK-19572
Project: Spark
Issue Type: Improvement
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Jeff Zhang updated SPARK-19572:
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Description: SPARK-15236 do this for scala shell, this ticket is for sparkR
shell. This is not only
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Jeff Zhang updated SPARK-19570:
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Description: SPARK-15236 do this for scala shell, this ticket is for
pyspark shell. This is not
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Jeff Zhang updated SPARK-19570:
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Description: SPARK-15236 do this for scala shell, this ticket is for
pyspark shell. This is not
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Jeff Zhang updated SPARK-19570:
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Description: SPARK-15236 do this for scala shell, this ticket is for
pyspark shell.
> Allow to
Jeff Zhang created SPARK-19570:
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Summary: Allow to disable hive in pyspark shell
Key: SPARK-19570
URL: https://issues.apache.org/jira/browse/SPARK-19570
Project: Spark
Issue Type: Improvement
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Jeff Zhang closed SPARK-19096.
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Resolution: Invalid
Will do it in SPARK-13587
> Kmeans.py application fails with virtualenv and due
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Jeff Zhang resolved SPARK-19095.
Resolution: Invalid
Will do it in SPARK-13587
> virtualenv example does not work in yarn cluster
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Jeff Zhang commented on SPARK-13587:
If it is pretty large cluster, then I would suggest to set up a
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Jeff Zhang commented on SPARK-13587:
[~prasanna.santha...@icloud.com] I don't understand how this can
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Jeff Zhang updated SPARK-18786:
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Component/s: PySpark
> pySpark SQLContext.getOrCreate(sc) take stopped sparkContext
>
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Jeff Zhang edited comment on SPARK-18405 at 11/26/16 1:01 AM:
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I think he
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Jeff Zhang commented on SPARK-18405:
I think he mean to launch multiple spark thrift server in
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Jeff Zhang updated SPARK-18160:
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Summary: spark.files & spark.jars should not be passed to driver in yarn
mode (was: spark.files
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Jeff Zhang updated SPARK-18160:
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Summary: spark.files should not passed to driver in yarn-cluster mode
(was: SparkContext.addFile
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Jeff Zhang updated SPARK-18160:
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Summary: spark.files should not be passed to driver in yarn-cluster mode
(was: spark.files should
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Jeff Zhang updated SPARK-18160:
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Description:
The following command will fails for spark 2.0
{noformat}
bin/spark-submit --class
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Jeff Zhang updated SPARK-18160:
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Description:
The following command will fails for spark 2.0
{noformat}
bin/spark-submit --class
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Jeff Zhang updated SPARK-18160:
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Description:
{noformat}
bin/spark-submit --class org.apache.spark.examples.SparkPi --master
Jeff Zhang created SPARK-18160:
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Summary: SparkContext.addFile doesn't work in yarn-cluster mode
Key: SPARK-18160
URL: https://issues.apache.org/jira/browse/SPARK-18160
Project: Spark
Issue
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Jeff Zhang updated SPARK-16321:
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Component/s: (was: PySpark)
SQL
> [Spark 2.0] Performance regression when
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Jeff Zhang commented on SPARK-17904:
It make sense to provide such api to install packages, one
Jeff Zhang created SPARK-17605:
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Summary: Add option spark.usePython and spark.useR for
applications that use both pyspark and sparkr
Key: SPARK-17605
URL: https://issues.apache.org/jira/browse/SPARK-17605
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Jeff Zhang closed SPARK-17054.
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Resolution: Won't Fix
Close it as it is resolved somewhere else.
> SparkR can not run in
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Jeff Zhang commented on SPARK-17428:
Found another elegant way to specify version, using devtools
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Jeff Zhang commented on SPARK-17428:
I just link the jira of python virtualenv. It seems R support
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Jeff Zhang commented on SPARK-17428:
Source code url needs to be specified for version.
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Jeff Zhang commented on SPARK-17261:
It works if you change 'sc._instantiatedContext = None' to
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Jeff Zhang commented on SPARK-17261:
[~dongjoon] spark-shell works well for me. It seems your case is
Jeff Zhang created SPARK-17210:
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Summary: sparkr.zip is not distributed to executors when run
sparkr in RStudio
Key: SPARK-17210
URL: https://issues.apache.org/jira/browse/SPARK-17210
Project: Spark
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Jeff Zhang commented on SPARK-14501:
I didn't work on it now, as it is duplicate of SPARK-14503
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Jeff Zhang updated SPARK-17157:
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Issue Type: Sub-task (was: New Feature)
Parent: SPARK-16442
> Add multiclass logistic
Jeff Zhang created SPARK-17178:
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Summary: Allow to set sparkr shell command through --conf
Key: SPARK-17178
URL: https://issues.apache.org/jira/browse/SPARK-17178
Project: Spark
Issue Type:
Jeff Zhang created SPARK-17125:
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Summary: Allow to specify spark config using non-string type in
SparkR
Key: SPARK-17125
URL: https://issues.apache.org/jira/browse/SPARK-17125
Project: Spark
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Jeff Zhang commented on SPARK-17116:
Is it possible to raise error if there's no such param exist
Jeff Zhang created SPARK-17121:
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Summary: Support _HOST replacement for principal
Key: SPARK-17121
URL: https://issues.apache.org/jira/browse/SPARK-17121
Project: Spark
Issue Type: Improvement
Jeff Zhang created SPARK-17103:
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Summary: Can not define class variable in repl
Key: SPARK-17103
URL: https://issues.apache.org/jira/browse/SPARK-17103
Project: Spark
Issue Type: Bug
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Jeff Zhang commented on SPARK-17054:
I push another commit to disable downloading spark if it is
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Jeff Zhang commented on SPARK-16578:
Another scenario I'd like to clarify is that. Say we launch R
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Jeff Zhang commented on SPARK-17054:
I have single node hadoop cluster in my laptop, and I run R
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Jeff Zhang commented on SPARK-16578:
I think this feature can also be applied in pyspark.
>
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Jeff Zhang commented on SPARK-17054:
Here's the command I run.
{code}
bin/spark-submit --master
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Jeff Zhang commented on SPARK-17054:
Do you run it as yarn-cluster mode ?
> SparkR can not run in
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Jeff Zhang commented on SPARK-16578:
I think one purpose of this ticket is to share the same
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Jeff Zhang commented on SPARK-17054:
Although I can fix it by using the correct cache dir for mac OS,
Jeff Zhang created SPARK-17054:
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Summary: SparkR can not run in yarn-cluster mode on mac os
Key: SPARK-17054
URL: https://issues.apache.org/jira/browse/SPARK-17054
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-16781?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15420547#comment-15420547
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Jeff Zhang commented on SPARK-16781:
JAVA_HOME will be set by yarn, not sure about other cluster
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Jeff Zhang commented on SPARK-15882:
I think it is better to keep RDD api underneath as I don't see
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Jeff Zhang updated SPARK-16965:
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Component/s: PySpark
MLlib
> Fix bound checking for SparseVector
>
Jeff Zhang created SPARK-16965:
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Summary: Fix bound checking for SparseVector
Key: SPARK-16965
URL: https://issues.apache.org/jira/browse/SPARK-16965
Project: Spark
Issue Type: Bug
Affects
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Jeff Zhang commented on SPARK-16890:
If I remember correctly, it is by design. Because in the sql
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Jeff Zhang commented on SPARK-16367:
[~gae...@xeberon.net] I still don't understand how the binary
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Jeff Zhang commented on SPARK-16367:
Preparing the wheelhouse seems time consuming to me especially
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Jeff Zhang commented on SPARK-16367:
Oh, happen to find this project to build local python package
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Jeff Zhang commented on SPARK-16367:
[~gae...@xeberon.net] Thanks for the new idea, this makes the
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Jeff Zhang commented on SPARK-16324:
I think this is by design
{code}
override def nullSafeEval(s:
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Jeff Zhang commented on SPARK-16321:
This could due to a lot things, may be reading parquet file,
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Jeff Zhang commented on SPARK-13587:
Thanks [~gae...@xeberon.net] Have you take a look at my PR ?
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Jeff Zhang edited comment on SPARK-16168 at 6/23/16 2:10 PM:
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I don't think
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Jeff Zhang commented on SPARK-16168:
I don't think it is spark issue, it is more likely your query
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Jeff Zhang commented on SPARK-15345:
It has been resolved in
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Jeff Zhang closed SPARK-15345.
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Resolution: Fixed
> SparkSession's conf doesn't take effect when there's already an existing
>
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Jeff Zhang updated SPARK-15705:
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Comment: was deleted
(was: I will take a look at it. )
> Spark won't read ORC schema from metastore
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Jeff Zhang commented on SPARK-15705:
I will take a look at it.
> Spark won't read ORC schema from
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Jeff Zhang commented on SPARK-16065:
Would you mind to paste the codes around line 22 of test.scala ?
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Jeff Zhang commented on SPARK-16013:
Found SPARK-11562, although it is not necessary in spark 2.0, I
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Jeff Zhang commented on SPARK-16013:
I mean to introduce this to 1.6 as in spark 2.0 we can disable
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Jeff Zhang edited comment on SPARK-16013 at 6/17/16 8:53 AM:
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I mean to
Jeff Zhang created SPARK-16013:
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Summary: Add option to disable HiveContext in spark-shell/pyspark
Key: SPARK-16013
URL: https://issues.apache.org/jira/browse/SPARK-16013
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-15993?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15335218#comment-15335218
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Jeff Zhang commented on SPARK-15993:
RuntimeConfig in scala api is mutable, if it doesn't work in
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Jeff Zhang commented on SPARK-15909:
If I remember correctly, pyspark can only run cluster mode in
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Jeff Zhang commented on SPARK-15930:
I see, I guess you are trying to get the total number of
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Jeff Zhang commented on SPARK-15930:
Don't we can get the count from freqItemsets in FPGrowthModel ?
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Jeff Zhang commented on SPARK-14503:
[~GayathriMurali] [~yuhaoyan] Do you still work on this ? If
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Jeff Zhang updated SPARK-15819:
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Component/s: PySpark
ML
> Add KMeanSummary in KMeans of PySpark
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https://issues.apache.org/jira/browse/SPARK-15751?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jeff Zhang closed SPARK-15751.
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Resolution: Won't Fix
> Add generateAssociationRules in fpm in pyspark
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https://issues.apache.org/jira/browse/SPARK-14501?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15325515#comment-15325515
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Jeff Zhang commented on SPARK-14501:
working on it.
> spark.ml parity for fpm - frequent items
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https://issues.apache.org/jira/browse/SPARK-13587?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15324323#comment-15324323
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Jeff Zhang edited comment on SPARK-13587 at 6/10/16 12:01 PM:
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Sorry, guys,
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https://issues.apache.org/jira/browse/SPARK-13587?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15324323#comment-15324323
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Jeff Zhang edited comment on SPARK-13587 at 6/10/16 11:43 AM:
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Sorry, guys,
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https://issues.apache.org/jira/browse/SPARK-13587?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15324323#comment-15324323
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Jeff Zhang commented on SPARK-13587:
Sorry, guys, I am busy on other stuff recently and late for
Jeff Zhang created SPARK-15819:
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Summary: Add KMeanSummary in KMeans of PySpark
Key: SPARK-15819
URL: https://issues.apache.org/jira/browse/SPARK-15819
Project: Spark
Issue Type: Improvement
Jeff Zhang created SPARK-15803:
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Summary: Support with statement syntax for SparkSession
Key: SPARK-15803
URL: https://issues.apache.org/jira/browse/SPARK-15803
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-3451?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15317975#comment-15317975
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Jeff Zhang commented on SPARK-3451:
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+1 for this feature, or allow specifying jar folder.
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https://issues.apache.org/jira/browse/SPARK-15779?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15317959#comment-15317959
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Jeff Zhang edited comment on SPARK-15779 at 6/7/16 6:27 AM:
Actually it is
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https://issues.apache.org/jira/browse/SPARK-15779?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15317959#comment-15317959
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Jeff Zhang commented on SPARK-15779:
You need to specify hive.execution.engine=mr in your
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