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neoremind updated SPARK-21703:
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Description:
After seeing the details of how spark leverage netty, I found one question,
typically
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neoremind updated SPARK-21703:
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Description:
After seeing the details of how spark leverage netty, I found one question,
typically
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neoremind updated SPARK-21703:
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Description:
After seeing the details of how spark leverage netty, I found one question,
typically
neoremind created SPARK-21703:
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Summary: Why RPC message are transferred with header and body
separately in TCP frame
Key: SPARK-21703
URL: https://issues.apache.org/jira/browse/SPARK-21703
Project:
George Pongracz created SPARK-21702:
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Summary: Structured Streaming S3A SSE Encryption Not Applied when
PartitionBy Used
Key: SPARK-21702
URL: https://issues.apache.org/jira/browse/SPARK-21702
neoremind created SPARK-21701:
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Summary: Add TCP send/rcv buffer size support for RPC client
Key: SPARK-21701
URL: https://issues.apache.org/jira/browse/SPARK-21701
Project: Spark
Issue Type:
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Alex Bozarth commented on SPARK-21700:
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I would recommend taking a look at the Metrics REST API
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Hyukjin Kwon updated SPARK-21693:
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Description:
We finally sometimes reach the time limit, 1.5 hours,
LiuXiangyu created SPARK-21700:
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Summary: How can I get the MetricsSystem information
Key: SPARK-21700
URL: https://issues.apache.org/jira/browse/SPARK-21700
Project: Spark
Issue Type: Question
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Reynold Xin updated SPARK-21699:
Fix Version/s: 2.2.1
> Remove unused getTableOption in ExternalCatalog
>
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Reynold Xin resolved SPARK-21699.
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Resolution: Fixed
Fix Version/s: 2.3.0
> Remove unused getTableOption in ExternalCatalog
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Andrew Ash commented on SPARK-21564:
[~irashid] a possible fix could look roughly like this:
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Andrew Ash commented on SPARK-21563:
Thanks for the thoughts [~irashid] -- I submitted a PR
Reynold Xin created SPARK-21699:
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Summary: Remove unused getTableOption in ExternalCatalog
Key: SPARK-21699
URL: https://issues.apache.org/jira/browse/SPARK-21699
Project: Spark
Issue Type:
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Hyukjin Kwon updated SPARK-21693:
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Description:
We finally sometimes reach the time limit, 1.5 hours,
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Joseph K. Bradley commented on SPARK-21685:
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Could you please point to more info, such as the
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Luis updated SPARK-21698:
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Description:
Spark partionBy is causing some data corruption. I am doing three super simple
writes. . Below is
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Luis updated SPARK-21698:
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Description:
Spark partionBy is causing some data corruption. I am doing three super simple
writes. . Below is
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Luis updated SPARK-21698:
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Description:
Spark partionBy is causing some data corruption. I am doing three super simple
writes. . Below is
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Luis updated SPARK-21698:
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Description:
Spark partionBy is causing some data corruption. I am doing three super simple
writes. . Below is
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Luis updated SPARK-21698:
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Description:
Spark partionBy is causing some data corruption. I am doing three super simple
writes. . Below is
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Luis updated SPARK-21698:
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Description:
Spark partionBy is causing some data corruption. I am doing three super simple
writes. . Below is
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Luis updated SPARK-21698:
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Description:
Spark partionBy is causing some data corruption. I am doing three super simple
writes. . Below is
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Luis updated SPARK-21698:
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Summary: write.partitionBy() is giving me garbage data (was:
write.partitionBy() is given me garbage data)
>
Luis created SPARK-21698:
Summary: write.partitionBy() is given me garbage data
Key: SPARK-21698
URL: https://issues.apache.org/jira/browse/SPARK-21698
Project: Spark
Issue Type: Bug
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Sean Owen resolved SPARK-21638.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 18868
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Sean Owen reassigned SPARK-21638:
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Assignee: Peng Meng
> Warning message of RF is not accurate
>
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Weiqing Yang commented on SPARK-21697:
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Thanks for filing this issue!
> NPE &
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Steve Loughran edited comment on SPARK-21697 at 8/10/17 7:48 PM:
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Text of
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Steve Loughran commented on SPARK-21697:
{code}
Have u tried it in yarn-client mode? i add this
Steve Loughran created SPARK-21697:
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Summary: NPE & ExceptionInInitializerError trying to load UTF from
HDFS
Key: SPARK-21697
URL: https://issues.apache.org/jira/browse/SPARK-21697
Project: Spark
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Reynold Xin resolved SPARK-21669.
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Resolution: Fixed
Assignee: Adrian Ionescu
Fix Version/s: 2.3.0
> Internal API
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Alexander Bessonov commented on SPARK-21696:
{{HDFSBackedStateStoreProvider.doMaintenance()}}
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Alexander Bessonov updated SPARK-21696:
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Description:
State store's asynchronous maintenance task (generation of Snapshot
Alexander Bessonov created SPARK-21696:
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Summary: State Store can't handle corrupted snapshots
Key: SPARK-21696
URL: https://issues.apache.org/jira/browse/SPARK-21696
Project: Spark
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Susan X. Huynh commented on SPARK-17419:
SPARK-21694 allows the user to pass network labels to
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Susan X. Huynh commented on SPARK-17419:
SPARK-18232 adds the ability to launch containers
Thomas Graves created SPARK-21695:
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Summary: Spark scheduler locality algorithm can take longer then
expected
Key: SPARK-21695
URL: https://issues.apache.org/jira/browse/SPARK-21695
Project: Spark
Susan X. Huynh created SPARK-21694:
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Summary: Support Mesos CNI network labels
Key: SPARK-21694
URL: https://issues.apache.org/jira/browse/SPARK-21694
Project: Spark
Issue Type: Improvement
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Sean Owen updated SPARK-21688:
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Priority: Minor (was: Major)
> performance improvement in mllib SVM with native BLAS
>
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Xiao Li commented on SPARK-21644:
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https://github.com/apache/spark/pull/18851
> LocalLimit.maxRows is
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Chaoyu Tang commented on SPARK-14927:
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[~rajeshc] could you provide your example here?
> DataFrame.
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Hyukjin Kwon resolved SPARK-18648.
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Resolution: Duplicate
I checked {{spark-shell --jars C:\test\my.jar}} works and fixed. I am
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Hyukjin Kwon commented on SPARK-21693:
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Yes, it does build multiple times and If I have observed
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Felix Cheung commented on SPARK-21693:
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splitting test matrix is also possible, I worry though since
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Felix Cheung commented on SPARK-21693:
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we could certainly simplify the classification set - but
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yuhao yang resolved SPARK-21535.
Resolution: Not A Problem
The new implementation will load the evaluation dataset when training
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Hyukjin Kwon updated SPARK-21693:
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Description:
We finally sometimes reach the time limit, 1.5 hours,
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Hyukjin Kwon updated SPARK-21693:
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Description:
We finally sometimes reach the time limit, 1.5 hours,
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Hyukjin Kwon updated SPARK-21693:
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Description:
We finally sometimes reach the time limit, 1.5 hours,
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Hyukjin Kwon commented on SPARK-21693:
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FYI, [~felixcheung] and [~shivaram].
> AppVeyor tests reach
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Hyukjin Kwon updated SPARK-21693:
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Description:
We finally sometimes reach the time limit, 1.5 hours,
Hyukjin Kwon created SPARK-21693:
Summary: AppVeyor tests reach the time limit, 1.5 hours, sometimes
in SparkR tests
Key: SPARK-21693
URL: https://issues.apache.org/jira/browse/SPARK-21693
Project:
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Devaraj K commented on SPARK-18648:
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[~FlamingMike], It has fixed as part of SPARK-21339, can you check
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Ruslan Dautkhanov commented on SPARK-21657:
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[~bjornjons] confirms this problem pertains to
Michael Styles created SPARK-21692:
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Summary: Modify PythonUDF to support nullability
Key: SPARK-21692
URL: https://issues.apache.org/jira/browse/SPARK-21692
Project: Spark
Issue Type:
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Liang-Chi Hsieh commented on SPARK-21677:
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As a given field name {{null}} can't be matched with
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Sean Owen commented on SPARK-21688:
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Not a good solution? How about just checking the env variables?
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Hyukjin Kwon edited comment on SPARK-21677 at 8/10/17 2:12 PM:
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[~cjm], I
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Hyukjin Kwon commented on SPARK-21677:
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[~cjm], I was thinking like
{code}
spark.sql("""SELECT
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Thomas Graves updated SPARK-21656:
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Description:
Right now with dynamic allocation spark starts by getting the number of
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Jen-Ming Chung commented on SPARK-21677:
to [~hyukjin.kwon], the return {{NULL}} you mentioned
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Vincent commented on SPARK-21688:
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Okay. Yes, true. It can still run without issue but we are just
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Thomas Graves updated SPARK-21656:
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Description:
Right now spark lets go of executors when they are idle for the 60s (or
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Thomas Graves updated SPARK-21656:
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Summary: spark dynamic allocation should not idle timeout executors when
there are enough
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Sean Owen commented on SPARK-21688:
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I mean best case in that MKL might be a little different from
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Vincent commented on SPARK-21688:
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[~srowen] Thanks for your comments. I think if user decides to use
Bjoern Toldbod created SPARK-21691:
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Summary: Accessing canonicalized plan for query with limit throws
exception
Key: SPARK-21691
URL: https://issues.apache.org/jira/browse/SPARK-21691
Project:
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Paul Praet commented on SPARK-21402:
It seems changing the order of the fields in the struct can give
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caoxuewen updated SPARK-21520:
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Description:
Currently, Did a lot of special handling for non-deterministic projects and
filters in
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Fei Shao updated SPARK-20971:
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Comment: was deleted
(was: Hi Zhu,
What does metadata logs stands for please?)
> Purge the metadata log
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Paul Praet edited comment on SPARK-21402 at 8/10/17 9:04 AM:
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I can confirm
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Paul Praet edited comment on SPARK-21402 at 8/10/17 9:03 AM:
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I can confirm
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Sean Owen commented on SPARK-21688:
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Understood, though it potentially impacts the benchmarks. You have
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Paul Praet commented on SPARK-21402:
I can confirm this problem persists in Spark 2.2.0: fields get
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Peng Meng commented on SPARK-21688:
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MKL is just an example of native BLAS, if user has Openblas,
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Sean Owen commented on SPARK-21688:
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I guess my concern is that this slows things down unless people do
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Vincent commented on SPARK-21688:
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and if native blas is left with default multi-threading setting, it
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Vincent updated SPARK-21688:
Attachment: native-trywait.png
> performance improvement in mllib SVM with native BLAS
>
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Taran Saini updated SPARK-21684:
Attachment: SparkQuotesTest2.scala
PFA the same.
> df.write double escaping all the already
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Liang-Chi Hsieh commented on SPARK-21684:
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Would you mind provide a small codes to reproduce it?
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Vincent updated SPARK-21688:
Attachment: (was: uni-test on ddot.png)
> performance improvement in mllib SVM with native BLAS
>
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Vincent updated SPARK-21688:
Attachment: ddot unitest.png
> performance improvement in mllib SVM with native BLAS
>
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Vincent commented on SPARK-21688:
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upload a data we collected before, uni-test on ddot, we can see for
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Vincent updated SPARK-21688:
Attachment: uni-test on ddot.png
> performance improvement in mllib SVM with native BLAS
>
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Sean Owen commented on SPARK-21688:
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I see, so you're saying use BLAS for level 1 ops. Do we know
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Sean Owen updated SPARK-21679:
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Priority: Minor (was: Major)
As a general statement, it's hard to get deterministic behavior out of a
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Liang-Chi Hsieh updated SPARK-21679:
Issue Type: Improvement (was: Bug)
> KMeans Clustering is Not Deterministic
>
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Liang-Chi Hsieh commented on SPARK-21679:
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Old MLlib {{org.apache.spark.mllib.clustering.KMeans}}
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Vincent commented on SPARK-21688:
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currently, there are certain places in ML/MLLib, such as in mllib/SVM,
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Liang-Chi Hsieh commented on SPARK-21686:
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I saw the affect version is 1.6.1. So the more recent
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Peng Meng commented on SPARK-21680:
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I mean if the user call toSparse(size), but the size is smaller
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Sean Owen commented on SPARK-21680:
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I don't get what security issue you mean here, but no the change
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Sean Owen commented on SPARK-21688:
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Of course native BLAS is typically faster where it is used so you
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https://issues.apache.org/jira/browse/SPARK-21689?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16121124#comment-16121124
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zhoukang commented on SPARK-21689:
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https://github.com/apache/spark/pull/18901 i created a pr for this
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https://issues.apache.org/jira/browse/SPARK-21660?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16121125#comment-16121125
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Saisai Shao commented on SPARK-21660:
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Will yarn NM handle this bad disk problem and return a good
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Vincent edited comment on SPARK-21688 at 8/10/17 6:13 AM:
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attach svm profiling
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Vincent updated SPARK-21688:
Attachment: svm1.png
svm2.png
svm-mkl-1.png
svm-mkl-2.png
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zhoukang updated SPARK-21689:
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Description:
When use yarn cluster mode,and we need scan hbase,there will be a case which
can not work:
zhengruifeng created SPARK-21690:
Summary: one-pass imputer
Key: SPARK-21690
URL: https://issues.apache.org/jira/browse/SPARK-21690
Project: Spark
Issue Type: Improvement
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