[jira] [Updated] (SPARK-16357) After enabling Spark shuffle RPC encryption using 3DES, Sparksql query has poor performance when running in parallel.

2016-07-03 Thread zeweichen (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16357?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zeweichen updated SPARK-16357: -- Description: We use TPCx-BB(BigBench) to evaluate the performance of Spark shuffle RPC encryption in

[jira] [Updated] (SPARK-16357) After enabling Spark shuffle RPC encryption using 3DES, Sparksql query has poor performance when running in parallel.

2016-07-03 Thread zeweichen (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16357?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zeweichen updated SPARK-16357: -- Description: We use TPCx-BB(BigBench) to evaluate the performance of Spark shuffle RPC encryption in

[jira] [Updated] (SPARK-16358) Remove InsertIntoHiveTable From Logical Plan

2016-07-03 Thread Wenchen Fan (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16358?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan updated SPARK-16358: Assignee: Xiao Li > Remove InsertIntoHiveTable From Logical Plan >

[jira] [Resolved] (SPARK-16358) Remove InsertIntoHiveTable From Logical Plan

2016-07-03 Thread Wenchen Fan (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16358?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan resolved SPARK-16358. - Resolution: Fixed Fix Version/s: 2.1.0 Issue resolved by pull request 14037

[jira] [Updated] (SPARK-16357) After enabling Spark shuffle RPC encryption using 3DES, Sparksql query has poor performance when running in parallel.

2016-07-03 Thread zeweichen (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16357?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zeweichen updated SPARK-16357: -- Description: We use TPCx-BB(BigBench) to evaluate the performance of Spark shuffle RPC encryption.

[jira] [Updated] (SPARK-16357) After enabling Spark shuffle RPC encryption using 3DES, Sparksql query has poor performance when running in parallel.

2016-07-03 Thread zeweichen (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16357?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zeweichen updated SPARK-16357: -- Environment: Apache Spark 1.6.1 TPCx-BB 1.0.1 jdk 1.7 was: Apache Spark 1.6.1 TPCx-BB 1.0.1 jdk

[jira] [Updated] (SPARK-16357) After enabling Spark shuffle RPC encryption using 3DES, Sparksql query has poor performance when running in parallel.

2016-07-03 Thread zeweichen (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16357?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zeweichen updated SPARK-16357: -- Environment: Apache Spark 1.6.1 TPCx-BB 1.0.1 jdk 1.8.0_73 was: Apache Spark 1.6.1 BigBench 1.0.1

[jira] [Updated] (SPARK-16357) After enabling Spark shuffle RPC encryption using 3DES, Sparksql query has poor performance when running in parallel.

2016-07-03 Thread zeweichen (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16357?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zeweichen updated SPARK-16357: -- Description: We use TPCx-BB During our performance test of Spark shuffle RPC encryption using 3DES on

[jira] [Updated] (SPARK-16357) After enabling Spark shuffle RPC encryption using 3DES, Sparksql query has poor performance when running in parallel.

2016-07-03 Thread zeweichen (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16357?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zeweichen updated SPARK-16357: -- Environment: Apache Spark 1.6.1 BigBench 1.0.1 jdk 1.8.0_73 was: Apache Spark 1.6.1 BigBench

[jira] [Updated] (SPARK-16357) After enabling Spark shuffle RPC encryption using 3DES, Sparksql query has poor performance when running in parallel.

2016-07-03 Thread zeweichen (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16357?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zeweichen updated SPARK-16357: -- Summary: After enabling Spark shuffle RPC encryption using 3DES, Sparksql query has poor performance

[jira] [Updated] (SPARK-16357) After enabling Spark shuffle RPC encryption using 3DES, Sparksql query has poor performance when running in parallel.

2016-07-03 Thread zeweichen (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16357?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zeweichen updated SPARK-16357: -- Fix Version/s: (was: 2.1.0) > After enabling Spark shuffle RPC encryption using 3DES, Sparksql

[jira] [Commented] (SPARK-15598) Change Aggregator.zero to Aggregator.init

2016-07-03 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-15598?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15360841#comment-15360841 ] Apache Spark commented on SPARK-15598: -- User 'techaddict' has created a pull request for this issue:

[jira] [Commented] (SPARK-16329) select * from temp_table_no_cols fails

2016-07-03 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16329?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15360837#comment-15360837 ] Apache Spark commented on SPARK-16329: -- User 'gatorsmile' has created a pull request for this issue:

[jira] [Assigned] (SPARK-16359) unidoc workaround for multiple kafka versions

2016-07-03 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16359?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16359: Assignee: Apache Spark > unidoc workaround for multiple kafka versions >

[jira] [Commented] (SPARK-16359) unidoc workaround for multiple kafka versions

2016-07-03 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16359?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15360824#comment-15360824 ] Apache Spark commented on SPARK-16359: -- User 'koeninger' has created a pull request for this issue:

[jira] [Assigned] (SPARK-16359) unidoc workaround for multiple kafka versions

2016-07-03 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16359?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16359: Assignee: (was: Apache Spark) > unidoc workaround for multiple kafka versions >

[jira] [Created] (SPARK-16359) unidoc workaround for multiple kafka versions

2016-07-03 Thread Cody Koeninger (JIRA)
Cody Koeninger created SPARK-16359: -- Summary: unidoc workaround for multiple kafka versions Key: SPARK-16359 URL: https://issues.apache.org/jira/browse/SPARK-16359 Project: Spark Issue

[jira] [Updated] (SPARK-15204) Improve nullability inference for Aggregator

2016-07-03 Thread Wenchen Fan (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-15204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan updated SPARK-15204: Fix Version/s: 2.1.0 > Improve nullability inference for Aggregator >

[jira] [Resolved] (SPARK-15204) Improve nullability inference for Aggregator

2016-07-03 Thread Wenchen Fan (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-15204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan resolved SPARK-15204. - Resolution: Fixed Target Version/s: 2.1.0 > Improve nullability inference for

[jira] [Updated] (SPARK-15204) Improve nullability inference for Aggregator

2016-07-03 Thread Wenchen Fan (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-15204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan updated SPARK-15204: Assignee: Koert Kuipers > Improve nullability inference for Aggregator >

[jira] [Updated] (SPARK-16357) For Spark shuffle RPC encryption using 3DES on Sparksql, throughput test of 2 stream lasts 2.68X time than power test.

2016-07-03 Thread zeweichen (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16357?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zeweichen updated SPARK-16357: -- Environment: Apache Spark 1.6.1 BigBench 1.0.1 was: Apache Spark 1.6.1 with local patch for

[jira] [Commented] (SPARK-16329) select * from temp_table_no_cols fails

2016-07-03 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16329?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15360801#comment-15360801 ] Apache Spark commented on SPARK-16329: -- User 'gatorsmile' has created a pull request for this issue:

[jira] [Updated] (SPARK-16089) Spark2.0 doesn't support the certain static partition SQL statment as "insert overwrite table targetTB PARTITION (partition field=xx) select field1,field2,...,partition

2016-07-03 Thread marymwu (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16089?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] marymwu updated SPARK-16089: Component/s: SQL > Spark2.0 doesn't support the certain static partition SQL statment as "insert >

[jira] [Updated] (SPARK-16092) Spark2.0 take no effect after set hive.exec.dynamic.partition.mode=nonstrict as a global variable in Spark2.0 configuration file while Spark1.6 does

2016-07-03 Thread marymwu (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16092?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] marymwu updated SPARK-16092: Component/s: SQL > Spark2.0 take no effect after set hive.exec.dynamic.partition.mode=nonstrict > as a

[jira] [Updated] (SPARK-16093) Spark2.0 take no effect after set spark.sql.autoBroadcastJoinThreshold = 1

2016-07-03 Thread marymwu (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16093?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] marymwu updated SPARK-16093: Component/s: SQL > Spark2.0 take no effect after set spark.sql.autoBroadcastJoinThreshold = 1 >

[jira] [Commented] (SPARK-15009) PySpark CountVectorizerModel should be able to construct from vocabulary list

2016-07-03 Thread Bryan Cutler (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-15009?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15360782#comment-15360782 ] Bryan Cutler commented on SPARK-15009: -- At the time I reported this, it was blocked by SPARK-14087

[jira] [Assigned] (SPARK-15896) Clean shuffle files after finish the SQL query

2016-07-03 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-15896?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-15896: Assignee: Apache Spark > Clean shuffle files after finish the SQL query >

[jira] [Assigned] (SPARK-15896) Clean shuffle files after finish the SQL query

2016-07-03 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-15896?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-15896: Assignee: (was: Apache Spark) > Clean shuffle files after finish the SQL query >

[jira] [Commented] (SPARK-15896) Clean shuffle files after finish the SQL query

2016-07-03 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-15896?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15360781#comment-15360781 ] Apache Spark commented on SPARK-15896: -- User 'maropu' has created a pull request for this issue:

[jira] [Assigned] (SPARK-16317) Add file filtering interface for FileFormat

2016-07-03 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16317?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16317: Assignee: (was: Apache Spark) > Add file filtering interface for FileFormat >

[jira] [Commented] (SPARK-16317) Add file filtering interface for FileFormat

2016-07-03 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16317?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15360779#comment-15360779 ] Apache Spark commented on SPARK-16317: -- User 'maropu' has created a pull request for this issue:

[jira] [Assigned] (SPARK-16317) Add file filtering interface for FileFormat

2016-07-03 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16317?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16317: Assignee: Apache Spark > Add file filtering interface for FileFormat >

[jira] [Updated] (SPARK-16358) Remove InsertIntoHiveTable From Logical Plan

2016-07-03 Thread Xiao Li (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16358?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiao Li updated SPARK-16358: Summary: Remove InsertIntoHiveTable From Logical Plan (was: Remove LogicalPlan Node InsertIntoHiveTable )

[jira] [Assigned] (SPARK-16358) Remove LogicalPlan Node InsertIntoHiveTable

2016-07-03 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16358?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16358: Assignee: Apache Spark > Remove LogicalPlan Node InsertIntoHiveTable >

[jira] [Assigned] (SPARK-16358) Remove LogicalPlan Node InsertIntoHiveTable

2016-07-03 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16358?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16358: Assignee: (was: Apache Spark) > Remove LogicalPlan Node InsertIntoHiveTable >

[jira] [Commented] (SPARK-16358) Remove LogicalPlan Node InsertIntoHiveTable

2016-07-03 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16358?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15360775#comment-15360775 ] Apache Spark commented on SPARK-16358: -- User 'gatorsmile' has created a pull request for this issue:

[jira] [Created] (SPARK-16358) Remove LogicalPlan Node InsertIntoHiveTable

2016-07-03 Thread Xiao Li (JIRA)
Xiao Li created SPARK-16358: --- Summary: Remove LogicalPlan Node InsertIntoHiveTable Key: SPARK-16358 URL: https://issues.apache.org/jira/browse/SPARK-16358 Project: Spark Issue Type: Improvement

[jira] [Updated] (SPARK-16357) For Spark shuffle RPC encryption using 3DES on Sparksql, throughput test of 2 stream lasts 2.68X time than power test.

2016-07-03 Thread zeweichen (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16357?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zeweichen updated SPARK-16357: -- Description: During our performance test of Spark shuffle RPC encryption using 3DES on Sparksql, we

[jira] [Created] (SPARK-16357) For Spark shuffle RPC encryption using 3DES on Sparksql, throughput test of 2 stream lasts 2.68X time than power test.

2016-07-03 Thread zeweichen (JIRA)
zeweichen created SPARK-16357: - Summary: For Spark shuffle RPC encryption using 3DES on Sparksql, throughput test of 2 stream lasts 2.68X time than power test. Key: SPARK-16357 URL:

[jira] [Commented] (SPARK-15467) Getting stack overflow when attempting to query a wide Dataset (>200 fields)

2016-07-03 Thread Kazuaki Ishizaki (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-15467?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15360752#comment-15360752 ] Kazuaki Ishizaki commented on SPARK-15467: -- My

[jira] [Commented] (SPARK-15009) PySpark CountVectorizerModel should be able to construct from vocabulary list

2016-07-03 Thread Shuai Lin (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-15009?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15360714#comment-15360714 ] Shuai Lin commented on SPARK-15009: --- Hi [~bryanc] , what's the status of this ticket? I can work on it

[jira] [Resolved] (SPARK-16288) Implement inline table generating function

2016-07-03 Thread Wenchen Fan (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16288?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan resolved SPARK-16288. - Resolution: Fixed Fix Version/s: 2.1.0 Issue resolved by pull request 13976

[jira] [Updated] (SPARK-16288) Implement inline table generating function

2016-07-03 Thread Wenchen Fan (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16288?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan updated SPARK-16288: Assignee: Dongjoon Hyun > Implement inline table generating function >

[jira] [Commented] (SPARK-16333) Excessive Spark history event/json data size (5GB each)

2016-07-03 Thread Wenchen Fan (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16333?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15360572#comment-15360572 ] Wenchen Fan commented on SPARK-16333: - looks like the `TaskInfo.accumulables` is always Nil in 1.6,

[jira] [Commented] (SPARK-16350) Complete output mode does not output updated aggregated value in Structured Streaming

2016-07-03 Thread Arnaud Bailly (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16350?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15360564#comment-15360564 ] Arnaud Bailly commented on SPARK-16350: --- I tested provided PR and I can confirm it fixes the issue

[jira] [Commented] (SPARK-16333) Excessive Spark history event/json data size (5GB each)

2016-07-03 Thread Sean Owen (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16333?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15360500#comment-15360500 ] Sean Owen commented on SPARK-16333: --- [~cloud_fan] [~andrewor14] I wonder if you would know anything

[jira] [Assigned] (SPARK-16323) Avoid unnecessary cast when doing integral divide

2016-07-03 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16323: Assignee: Apache Spark > Avoid unnecessary cast when doing integral divide >

[jira] [Commented] (SPARK-16323) Avoid unnecessary cast when doing integral divide

2016-07-03 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16323?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15360477#comment-15360477 ] Apache Spark commented on SPARK-16323: -- User 'techaddict' has created a pull request for this issue:

[jira] [Assigned] (SPARK-16323) Avoid unnecessary cast when doing integral divide

2016-07-03 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16323: Assignee: (was: Apache Spark) > Avoid unnecessary cast when doing integral divide >

[jira] [Updated] (SPARK-16279) Implement map_values SQL function

2016-07-03 Thread Wenchen Fan (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16279?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan updated SPARK-16279: Assignee: Dongjoon Hyun > Implement map_values SQL function > - >

[jira] [Updated] (SPARK-16278) Implement map_keys SQL function

2016-07-03 Thread Wenchen Fan (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16278?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan updated SPARK-16278: Assignee: Dongjoon Hyun > Implement map_keys SQL function > --- > >

[jira] [Resolved] (SPARK-16278) Implement map_keys SQL function

2016-07-03 Thread Wenchen Fan (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16278?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan resolved SPARK-16278. - Resolution: Fixed Fix Version/s: 2.1.0 Issue resolved by pull request 13967

[jira] [Resolved] (SPARK-16279) Implement map_values SQL function

2016-07-03 Thread Wenchen Fan (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16279?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan resolved SPARK-16279. - Resolution: Fixed Fix Version/s: 2.1.0 Issue resolved by pull request 13967

[jira] [Resolved] (SPARK-16329) select * from temp_table_no_cols fails

2016-07-03 Thread Wenchen Fan (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16329?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan resolved SPARK-16329. - Resolution: Fixed Fix Version/s: 2.1.0 > select * from temp_table_no_cols fails >

[jira] [Updated] (SPARK-16329) select * from temp_table_no_cols fails

2016-07-03 Thread Wenchen Fan (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16329?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan updated SPARK-16329: Assignee: Xiao Li > select * from temp_table_no_cols fails >

[jira] [Issue Comment Deleted] (SPARK-16323) Avoid unnecessary cast when doing integral divide

2016-07-03 Thread Dongjoon Hyun (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dongjoon Hyun updated SPARK-16323: -- Comment: was deleted (was: Hi, [~clockfly]. If you don't mind, I'll make a PR for this.) >

[jira] [Commented] (SPARK-16323) Avoid unnecessary cast when doing integral divide

2016-07-03 Thread Dongjoon Hyun (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16323?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15360443#comment-15360443 ] Dongjoon Hyun commented on SPARK-16323: --- Hi, [~clockfly]. If you don't mind, I'll make a PR for

[jira] [Commented] (SPARK-16354) Negative Inputs In LIMIT or TABLESAMPLE

2016-07-03 Thread Sandeep Singh (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16354?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15360442#comment-15360442 ] Sandeep Singh commented on SPARK-16354: --- [~smilegator] What should be the expected behaviour, a

[jira] [Commented] (SPARK-16356) Add testImplicits for ML unit tests and promote toDF()

2016-07-03 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16356?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15360425#comment-15360425 ] Apache Spark commented on SPARK-16356: -- User 'HyukjinKwon' has created a pull request for this

[jira] [Assigned] (SPARK-16356) Add testImplicits for ML unit tests and promote toDF()

2016-07-03 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16356?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16356: Assignee: Apache Spark > Add testImplicits for ML unit tests and promote toDF() >

[jira] [Assigned] (SPARK-16356) Add testImplicits for ML unit tests and promote toDF()

2016-07-03 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16356?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16356: Assignee: (was: Apache Spark) > Add testImplicits for ML unit tests and promote

[jira] [Created] (SPARK-16356) Add testImplicits for ML unit tests and promote toDF()

2016-07-03 Thread Hyukjin Kwon (JIRA)
Hyukjin Kwon created SPARK-16356: Summary: Add testImplicits for ML unit tests and promote toDF() Key: SPARK-16356 URL: https://issues.apache.org/jira/browse/SPARK-16356 Project: Spark Issue

[jira] [Updated] (SPARK-16355) Incorrect Statistics when Queries Containing LIMIT/TABLESAMPLE 0

2016-07-03 Thread Xiao Li (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16355?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiao Li updated SPARK-16355: Description: When a query containing LIMIT/TABLESAMPLE 0, the statistics could be zero. Results are

[jira] [Updated] (SPARK-16355) Incorrect Statistics when Queries Containing LIMIT/TABLESAMPLE 0

2016-07-03 Thread Xiao Li (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-16355?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiao Li updated SPARK-16355: Description: When a query containing LIMIT/TABLESAMPLE 0, the statistics could be zero. Results are