[jira] [Updated] (SPARK-21545) pyspark2

[ https://issues.apache.org/jira/browse/SPARK-21545?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] gumpcheng updated SPARK-21545: -- Description: I install spark2.2 following the official steps with CDH5.12. Info on Cloudera Manager is

[jira] [Updated] (SPARK-21545) pyspark2

[ https://issues.apache.org/jira/browse/SPARK-21545?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] gumpcheng updated SPARK-21545: -- Description: I install spark2.2 following the official steps with CDH5.12. Info on Cloudera Manager is

[jira] [Created] (SPARK-21545) pyspark2

gumpcheng created SPARK-21545: - Summary: pyspark2 Key: SPARK-21545 URL: https://issues.apache.org/jira/browse/SPARK-21545 Project: Spark Issue Type: Bug Components: PySpark Affects

[jira] [Resolved] (SPARK-21530) Update description of spark.shuffle.maxChunksBeingTransferred

[ https://issues.apache.org/jira/browse/SPARK-21530?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan resolved SPARK-21530. - Resolution: Fixed Fix Version/s: 2.3.0 Issue resolved by pull request 18735

[jira] [Assigned] (SPARK-21530) Update description of spark.shuffle.maxChunksBeingTransferred

[ https://issues.apache.org/jira/browse/SPARK-21530?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan reassigned SPARK-21530: --- Assignee: jin xing > Update description of spark.shuffle.maxChunksBeingTransferred >

[jira] [Closed] (SPARK-21400) Spark shouldn't ignore user defined output committer in append mode

[ https://issues.apache.org/jira/browse/SPARK-21400?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Robert Kruszewski closed SPARK-21400. - Resolution: Fixed Fix Version/s: 2.3.0 > Spark shouldn't ignore user defined

[jira] [Created] (SPARK-21544) Test jar of some module should not install or deploy twice

zhoukang created SPARK-21544: Summary: Test jar of some module should not install or deploy twice Key: SPARK-21544 URL: https://issues.apache.org/jira/browse/SPARK-21544 Project: Spark Issue

[jira] [Commented] (SPARK-21400) Spark shouldn't ignore user defined output committer in append mode

[ https://issues.apache.org/jira/browse/SPARK-21400?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16102638#comment-16102638 ] Robert Kruszewski commented on SPARK-21400: --- Fixed in

[jira] [Created] (SPARK-21543) Should not count executor initialize failed towards task failures

zhoukang created SPARK-21543: Summary: Should not count executor initialize failed towards task failures Key: SPARK-21543 URL: https://issues.apache.org/jira/browse/SPARK-21543 Project: Spark

[jira] [Comment Edited] (SPARK-21539) Job should not be aborted when dynamic allocation is enabled or spark.executor.instances larger then current allocated number by yarn

[ https://issues.apache.org/jira/browse/SPARK-21539?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101686#comment-16101686 ] zhoukang edited comment on SPARK-21539 at 7/27/17 2:06 AM: --- I want to report

[jira] [Updated] (SPARK-21539) Job should not be aborted when dynamic allocation is enabled or spark.executor.instances larger then current allocated number by yarn

[ https://issues.apache.org/jira/browse/SPARK-21539?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zhoukang updated SPARK-21539: - Affects Version/s: (was: 2.2.0) > Job should not be aborted when dynamic allocation is enabled or >

[jira] [Reopened] (SPARK-21539) Job should not be aborted when dynamic allocation is enabled or spark.executor.instances larger then current allocated number by yarn

[ https://issues.apache.org/jira/browse/SPARK-21539?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zhoukang reopened SPARK-21539: -- > Job should not be aborted when dynamic allocation is enabled or > spark.executor.instances larger then

[jira] [Commented] (SPARK-21533) "configure(...)" method not called when using Hive Generic UDFs

[ https://issues.apache.org/jira/browse/SPARK-21533?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16102598#comment-16102598 ] Feng Zhu commented on SPARK-21533: -- Could you post any examples? > "configure(...)" method not called

[jira] [Closed] (SPARK-21539) Job should not be aborted when dynamic allocation is enabled or spark.executor.instances larger then current allocated number by yarn

[ https://issues.apache.org/jira/browse/SPARK-21539?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zhoukang closed SPARK-21539. Resolution: Not A Problem > Job should not be aborted when dynamic allocation is enabled or >

[jira] [Resolved] (SPARK-21540) add spark.sql.functions.map_keys and spark.sql.functions.map_values

[ https://issues.apache.org/jira/browse/SPARK-21540?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon resolved SPARK-21540. -- Resolution: Duplicate I guess this was added in SPARK-19975. > add

[jira] [Updated] (SPARK-21542) Helper functions for custom Python Persistence

[ https://issues.apache.org/jira/browse/SPARK-21542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joseph K. Bradley updated SPARK-21542: -- Description: Currently, there is no way to easily persist Json-serializable parameters

[jira] [Updated] (SPARK-21542) Helper functions for custom Python Persistence

[ https://issues.apache.org/jira/browse/SPARK-21542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joseph K. Bradley updated SPARK-21542: -- Component/s: ML > Helper functions for custom Python Persistence >

[jira] [Updated] (SPARK-21542) Helper functions for custom Python Persistence

[ https://issues.apache.org/jira/browse/SPARK-21542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Ajay Saini updated SPARK-21542: --- Component/s: (was: ML) > Helper functions for custom Python Persistence >

[jira] [Created] (SPARK-21542) Helper functions for custom Python Persistence

Ajay Saini created SPARK-21542: -- Summary: Helper functions for custom Python Persistence Key: SPARK-21542 URL: https://issues.apache.org/jira/browse/SPARK-21542 Project: Spark Issue Type: New

[jira] [Commented] (SPARK-21190) SPIP: Vectorized UDFs in Python

[ https://issues.apache.org/jira/browse/SPARK-21190?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16102420#comment-16102420 ] Bryan Cutler commented on SPARK-21190: -- Hi [~icexelloss], yes I think there is definitely some basic

[jira] [Updated] (SPARK-21541) Spark Logs show incorrect job status for a job that does not create SparkContext

[ https://issues.apache.org/jira/browse/SPARK-21541?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Parth Gandhi updated SPARK-21541: - Description: If you run a spark job without creating the SparkSession or SparkContext, the

[jira] [Commented] (SPARK-21541) Spark Logs show incorrect job status for a job that does not create SparkContext

[ https://issues.apache.org/jira/browse/SPARK-21541?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16102308#comment-16102308 ] Parth Gandhi commented on SPARK-21541: -- Currently working on the fix, will file a pull request as

[jira] [Created] (SPARK-21541) Spark Logs show incorrect job status for a job that does not create SparkContext

Parth Gandhi created SPARK-21541: Summary: Spark Logs show incorrect job status for a job that does not create SparkContext Key: SPARK-21541 URL: https://issues.apache.org/jira/browse/SPARK-21541

[jira] [Commented] (SPARK-20418) multi-label classification support

[ https://issues.apache.org/jira/browse/SPARK-20418?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16102280#comment-16102280 ] Weichen Xu commented on SPARK-20418: I will work on this. > multi-label classification support >

[jira] [Commented] (SPARK-11215) Add multiple columns support to StringIndexer

[ https://issues.apache.org/jira/browse/SPARK-11215?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16102274#comment-16102274 ] Weichen Xu commented on SPARK-11215: I will take over this feature and create a PR soon. > Add

[jira] [Comment Edited] (SPARK-21535) Reduce memory requirement for CrossValidator and TrainValidationSplit

[ https://issues.apache.org/jira/browse/SPARK-21535?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16100860#comment-16100860 ] yuhao yang edited comment on SPARK-21535 at 7/26/17 6:30 PM: -

[jira] [Commented] (SPARK-21087) CrossValidator, TrainValidationSplit should preserve all models after fitting: Scala

[ https://issues.apache.org/jira/browse/SPARK-21087?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16102048#comment-16102048 ] Weichen Xu commented on SPARK-21087: I will work on it. > CrossValidator, TrainValidationSplit

[jira] [Commented] (SPARK-17025) Cannot persist PySpark ML Pipeline model that includes custom Transformer

[ https://issues.apache.org/jira/browse/SPARK-17025?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101994#comment-16101994 ] Weichen Xu commented on SPARK-17025: Because currently, scala calling python will be difficult and

[jira] [Comment Edited] (SPARK-17025) Cannot persist PySpark ML Pipeline model that includes custom Transformer

[ https://issues.apache.org/jira/browse/SPARK-17025?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101984#comment-16101984 ] Ajay Saini edited comment on SPARK-17025 at 7/26/17 5:40 PM: - I'm currently

[jira] [Commented] (SPARK-17025) Cannot persist PySpark ML Pipeline model that includes custom Transformer

[ https://issues.apache.org/jira/browse/SPARK-17025?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101984#comment-16101984 ] Ajay Saini commented on SPARK-17025: I'm currently working on a solution to this that involves

[jira] [Resolved] (SPARK-21485) API Documentation for Spark SQL functions

[ https://issues.apache.org/jira/browse/SPARK-21485?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Reynold Xin resolved SPARK-21485. - Resolution: Fixed Assignee: Hyukjin Kwon Fix Version/s: 2.3.0 > API

[jira] [Commented] (SPARK-6809) Make numPartitions optional in pairRDD APIs

[ https://issues.apache.org/jira/browse/SPARK-6809?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101900#comment-16101900 ] Shivaram Venkataraman commented on SPARK-6809: -- Yeah I dont this JIRA is applicable any more.

[jira] [Resolved] (SPARK-6809) Make numPartitions optional in pairRDD APIs

[ https://issues.apache.org/jira/browse/SPARK-6809?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Shivaram Venkataraman resolved SPARK-6809. -- Resolution: Not A Problem > Make numPartitions optional in pairRDD APIs >

[jira] [Created] (SPARK-21540) add spark.sql.functions.map_keys and spark.sql.functions.map_values

yu peng created SPARK-21540: --- Summary: add spark.sql.functions.map_keys and spark.sql.functions.map_values Key: SPARK-21540 URL: https://issues.apache.org/jira/browse/SPARK-21540 Project: Spark

[jira] [Updated] (SPARK-21245) Resolve code duplication for classification/regression summarizers

[ https://issues.apache.org/jira/browse/SPARK-21245?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Seth Hendrickson updated SPARK-21245: - Labels: starter (was: ) Priority: Minor (was: Major) > Resolve code duplication

[jira] [Commented] (SPARK-21535) Reduce memory requirement for CrossValidator and TrainValidationSplit

[ https://issues.apache.org/jira/browse/SPARK-21535?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101870#comment-16101870 ] yuhao yang commented on SPARK-21535: The basic idea is that we should release the driver memory as

[jira] [Resolved] (SPARK-12957) Derive and propagate data constrains in logical plan

[ https://issues.apache.org/jira/browse/SPARK-12957?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Reynold Xin resolved SPARK-12957. - Resolution: Fixed Fix Version/s: 2.0.0 > Derive and propagate data constrains in logical

[jira] [Updated] (SPARK-21538) Attribute resolution inconsistency in Dataset API

[ https://issues.apache.org/jira/browse/SPARK-21538?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiao Li updated SPARK-21538: Affects Version/s: (was: 3.0.0) 2.3.0 > Attribute resolution inconsistency in

[jira] [Updated] (SPARK-21538) Attribute resolution inconsistency in Dataset API

[ https://issues.apache.org/jira/browse/SPARK-21538?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiao Li updated SPARK-21538: Issue Type: Improvement (was: Story) > Attribute resolution inconsistency in Dataset API >

[jira] [Commented] (SPARK-21539) Job should not be aborted when dynamic allocation is enabled or spark.executor.instances larger then current allocated number by yarn

[ https://issues.apache.org/jira/browse/SPARK-21539?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101686#comment-16101686 ] zhoukang commented on SPARK-21539: -- I am working on this. > Job should not be aborted when dynamic

[jira] [Updated] (SPARK-21539) Job should not be aborted when dynamic allocation is enabled or spark.executor.instances larger then current allocated number by yarn

[ https://issues.apache.org/jira/browse/SPARK-21539?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zhoukang updated SPARK-21539: - Description: For spark on yarn. Right now, when TaskSet can not run on any node or host.Which means

[jira] [Created] (SPARK-21539) Job should not be aborted when dynamic allocation is enabled or spark.executor.instances larger then current allocated number by yarn

zhoukang created SPARK-21539: Summary: Job should not be aborted when dynamic allocation is enabled or spark.executor.instances larger then current allocated number by yarn Key: SPARK-21539 URL:

[jira] [Comment Edited] (SPARK-9776) Another instance of Derby may have already booted the database

[ https://issues.apache.org/jira/browse/SPARK-9776?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101597#comment-16101597 ] Quincy HSIEH edited comment on SPARK-9776 at 7/26/17 12:10 PM: --- Hi, In case

[jira] [Comment Edited] (SPARK-9776) Another instance of Derby may have already booted the database

[ https://issues.apache.org/jira/browse/SPARK-9776?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101597#comment-16101597 ] Quincy HSIEH edited comment on SPARK-9776 at 7/26/17 12:09 PM: --- Hi, In case

[jira] [Comment Edited] (SPARK-9776) Another instance of Derby may have already booted the database

[ https://issues.apache.org/jira/browse/SPARK-9776?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101597#comment-16101597 ] Quincy HSIEH edited comment on SPARK-9776 at 7/26/17 12:08 PM: --- Hi, In case

[jira] [Comment Edited] (SPARK-9776) Another instance of Derby may have already booted the database

[ https://issues.apache.org/jira/browse/SPARK-9776?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101597#comment-16101597 ] Quincy HSIEH edited comment on SPARK-9776 at 7/26/17 12:07 PM: --- Hi, In case

[jira] [Comment Edited] (SPARK-9776) Another instance of Derby may have already booted the database

[ https://issues.apache.org/jira/browse/SPARK-9776?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101597#comment-16101597 ] Quincy HSIEH edited comment on SPARK-9776 at 7/26/17 12:06 PM: --- Hi, In case

[jira] [Commented] (SPARK-9776) Another instance of Derby may have already booted the database

[ https://issues.apache.org/jira/browse/SPARK-9776?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101597#comment-16101597 ] Quincy HSIEH commented on SPARK-9776: - Hi, In case that someone who has the same issue and comes to

[jira] [Comment Edited] (SPARK-9776) Another instance of Derby may have already booted the database

[ https://issues.apache.org/jira/browse/SPARK-9776?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101597#comment-16101597 ] Quincy HSIEH edited comment on SPARK-9776 at 7/26/17 12:05 PM: --- Hi, In case

[jira] [Resolved] (SPARK-20988) Convert logistic regression to new aggregator framework

[ https://issues.apache.org/jira/browse/SPARK-20988?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Nick Pentreath resolved SPARK-20988. Resolution: Fixed Fix Version/s: 2.3.0 > Convert logistic regression to new

[jira] [Assigned] (SPARK-20988) Convert logistic regression to new aggregator framework

[ https://issues.apache.org/jira/browse/SPARK-20988?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Nick Pentreath reassigned SPARK-20988: -- Assignee: Seth Hendrickson > Convert logistic regression to new aggregator framework

[jira] [Created] (SPARK-21538) Attribute resolution inconsistency in Dataset API

Adrian Ionescu created SPARK-21538: -- Summary: Attribute resolution inconsistency in Dataset API Key: SPARK-21538 URL: https://issues.apache.org/jira/browse/SPARK-21538 Project: Spark Issue

[jira] [Updated] (SPARK-21537) toPandas() should handle nested columns (as a Pandas MultiIndex)

[ https://issues.apache.org/jira/browse/SPARK-21537?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Eric O. LEBIGOT (EOL) updated SPARK-21537: -- Description: The conversion of a *PySpark dataframe with nested columns* to

[jira] [Created] (SPARK-21537) toPandas() should handle nested columns (as a Pandas MultiIndex)

Eric O. LEBIGOT (EOL) created SPARK-21537: - Summary: toPandas() should handle nested columns (as a Pandas MultiIndex) Key: SPARK-21537 URL: https://issues.apache.org/jira/browse/SPARK-21537

[jira] [Commented] (SPARK-21476) RandomForest classification model not using broadcast in transform

[ https://issues.apache.org/jira/browse/SPARK-21476?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101476#comment-16101476 ] Peng Meng commented on SPARK-21476: --- Hi [~sagraw], could you please test copy pasted the transform

[jira] [Comment Edited] (SPARK-21476) RandomForest classification model not using broadcast in transform

[ https://issues.apache.org/jira/browse/SPARK-21476?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101476#comment-16101476 ] Peng Meng edited comment on SPARK-21476 at 7/26/17 10:06 AM: - Hi [~sagraw],

[jira] [Commented] (SPARK-6809) Make numPartitions optional in pairRDD APIs

[ https://issues.apache.org/jira/browse/SPARK-6809?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101459#comment-16101459 ] Hyukjin Kwon commented on SPARK-6809: - Hi [~davies], I can't find the APIs of pairRDD.R file in the R

[jira] [Commented] (SPARK-21535) Reduce memory requirement for CrossValidator and TrainValidationSplit

[ https://issues.apache.org/jira/browse/SPARK-21535?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101452#comment-16101452 ] Nick Pentreath commented on SPARK-21535: Parallel CV is in progress:

[jira] [Resolved] (SPARK-21524) ValidatorParamsSuiteHelpers generates wrong temp files

[ https://issues.apache.org/jira/browse/SPARK-21524?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen resolved SPARK-21524. --- Resolution: Fixed Fix Version/s: 2.3.0 Issue resolved by pull request 18728

[jira] [Assigned] (SPARK-21524) ValidatorParamsSuiteHelpers generates wrong temp files

[ https://issues.apache.org/jira/browse/SPARK-21524?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen reassigned SPARK-21524: - Assignee: yuhao yang > ValidatorParamsSuiteHelpers generates wrong temp files >

[jira] [Resolved] (SPARK-11046) Pass schema from R to JVM using JSON format

[ https://issues.apache.org/jira/browse/SPARK-11046?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon resolved SPARK-11046. -- Resolution: Not A Problem I lately touched some codes around here - SPARK-20493. I assume we

[jira] [Commented] (SPARK-21476) RandomForest classification model not using broadcast in transform

[ https://issues.apache.org/jira/browse/SPARK-21476?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101443#comment-16101443 ] Saurabh Agrawal commented on SPARK-21476: - [~peng.m...@intel.com] My streaming application is

[jira] [Commented] (SPARK-21536) Remove the workaroud to allow dots in field names in R's createDataFame

[ https://issues.apache.org/jira/browse/SPARK-21536?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101418#comment-16101418 ] Hyukjin Kwon commented on SPARK-21536: -- BTW, my try was -

[jira] [Commented] (SPARK-21536) Remove the workaroud to allow dots in field names in R's createDataFame

[ https://issues.apache.org/jira/browse/SPARK-21536?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101410#comment-16101410 ] Hyukjin Kwon commented on SPARK-21536: -- I just realised what I found while fixing this is related

[jira] [Comment Edited] (SPARK-16784) Configurable log4j settings

[ https://issues.apache.org/jira/browse/SPARK-16784?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16099477#comment-16099477 ] HanCheol Cho edited comment on SPARK-16784 at 7/26/17 8:27 AM: --- Hi, I

[jira] [Comment Edited] (SPARK-16784) Configurable log4j settings

[ https://issues.apache.org/jira/browse/SPARK-16784?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16099477#comment-16099477 ] HanCheol Cho edited comment on SPARK-16784 at 7/26/17 8:26 AM: --- Hi, I

[jira] [Commented] (SPARK-21476) RandomForest classification model not using broadcast in transform

[ https://issues.apache.org/jira/browse/SPARK-21476?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101298#comment-16101298 ] Sean Owen commented on SPARK-21476: --- [~sagraw] first someone would have to propose a fix >

[jira] [Resolved] (SPARK-21412) Reset BufferHolder while initialize an UnsafeRowWriter

[ https://issues.apache.org/jira/browse/SPARK-21412?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen resolved SPARK-21412. --- Resolution: Not A Problem > Reset BufferHolder while initialize an UnsafeRowWriter >

[jira] [Commented] (SPARK-21476) RandomForest classification model not using broadcast in transform

[ https://issues.apache.org/jira/browse/SPARK-21476?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101253#comment-16101253 ] Peng Meng commented on SPARK-21476: --- Not each transform uses broadcast, do you have some experiment

[jira] [Comment Edited] (SPARK-21476) RandomForest classification model not using broadcast in transform

[ https://issues.apache.org/jira/browse/SPARK-21476?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16100151#comment-16100151 ] Saurabh Agrawal edited comment on SPARK-21476 at 7/26/17 6:56 AM: --

[jira] [Commented] (SPARK-21476) RandomForest classification model not using broadcast in transform

[ https://issues.apache.org/jira/browse/SPARK-21476?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101241#comment-16101241 ] Saurabh Agrawal commented on SPARK-21476: - [~srowen] Can a fix for this go in the next

[jira] [Commented] (SPARK-21445) NotSerializableException thrown by UTF8String.IntWrapper

[ https://issues.apache.org/jira/browse/SPARK-21445?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16101224#comment-16101224 ] jin xing commented on SPARK-21445: -- Sorry, I report the exception by mistake. With the change, it works

[jira] [Created] (SPARK-21536) Remove the workaroud to allow dots in field names in R's createDataFame

Hyukjin Kwon created SPARK-21536: Summary: Remove the workaroud to allow dots in field names in R's createDataFame Key: SPARK-21536 URL: https://issues.apache.org/jira/browse/SPARK-21536 Project: