[jira] [Created] (SPARK-20293) In history web ui,click the 'Go' button, paging query, the page error

guoxiaolongzte created SPARK-20293: -- Summary: In history web ui,click the 'Go' button, paging query, the page error Key: SPARK-20293 URL: https://issues.apache.org/jira/browse/SPARK-20293 Project:

[jira] [Commented] (SPARK-20292) string representation of TreeNode is messy

[ https://issues.apache.org/jira/browse/SPARK-20292?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15964154#comment-15964154 ] Liang-Chi Hsieh commented on SPARK-20292: - I will look into this. > string representation of

[jira] [Commented] (SPARK-20266) ExecutorBackend blocked at "UserGroupInformation.doAs"

[ https://issues.apache.org/jira/browse/SPARK-20266?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15964151#comment-15964151 ] Jerry.X.He commented on SPARK-20266: it seems fixed, but did not found the original reason refer :

[jira] [Commented] (SPARK-10057) Faill to load class org.slf4j.impl.StaticLoggerBinder

[ https://issues.apache.org/jira/browse/SPARK-10057?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15964087#comment-15964087 ] Jifeng Yin commented on SPARK-10057: It seems to be due to

[jira] [Commented] (SPARK-20292) string representation of TreeNode is messy

[ https://issues.apache.org/jira/browse/SPARK-20292?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15964073#comment-15964073 ] Wenchen Fan commented on SPARK-20292: - cc [~viirya] [~smilegator] > string representation of

[jira] [Created] (SPARK-20292) string representation of TreeNode is messy

Wenchen Fan created SPARK-20292: --- Summary: string representation of TreeNode is messy Key: SPARK-20292 URL: https://issues.apache.org/jira/browse/SPARK-20292 Project: Spark Issue Type:

[jira] [Commented] (SPARK-20291) NaNvl(FloatType, NullType) should not be cast to NaNvl(DoubleType, DoubleType)

[ https://issues.apache.org/jira/browse/SPARK-20291?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15964047#comment-15964047 ] Apache Spark commented on SPARK-20291: -- User 'dbtsai' has created a pull request for this issue:

[jira] [Assigned] (SPARK-20291) NaNvl(FloatType, NullType) should not be cast to NaNvl(DoubleType, DoubleType)

[ https://issues.apache.org/jira/browse/SPARK-20291?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-20291: Assignee: Apache Spark (was: DB Tsai) > NaNvl(FloatType, NullType) should not be cast to

[jira] [Assigned] (SPARK-20291) NaNvl(FloatType, NullType) should not be cast to NaNvl(DoubleType, DoubleType)

[ https://issues.apache.org/jira/browse/SPARK-20291?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-20291: Assignee: DB Tsai (was: Apache Spark) > NaNvl(FloatType, NullType) should not be cast to

[jira] [Updated] (SPARK-20236) Overwrite a partitioned data source table should only overwrite related partitions

[ https://issues.apache.org/jira/browse/SPARK-20236?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan updated SPARK-20236: Summary: Overwrite a partitioned data source table should only overwrite related partitions (was:

[jira] [Created] (SPARK-20291) NaNvl(FloatType, NullType) should not be cast to NaNvl(DoubleType, DoubleType)

DB Tsai created SPARK-20291: --- Summary: NaNvl(FloatType, NullType) should not be cast to NaNvl(DoubleType, DoubleType) Key: SPARK-20291 URL: https://issues.apache.org/jira/browse/SPARK-20291 Project: Spark

[jira] [Updated] (SPARK-20236) Overwrite a partitioned table should only overwrite related partitions

[ https://issues.apache.org/jira/browse/SPARK-20236?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan updated SPARK-20236: Description: When we overwrite a partitioned data source table, currently Spark will truncate the

[jira] [Assigned] (SPARK-20290) PySpark Column should provide eqNullSafe

[ https://issues.apache.org/jira/browse/SPARK-20290?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-20290: Assignee: Apache Spark > PySpark Column should provide eqNullSafe >

[jira] [Assigned] (SPARK-20290) PySpark Column should provide eqNullSafe

[ https://issues.apache.org/jira/browse/SPARK-20290?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-20290: Assignee: (was: Apache Spark) > PySpark Column should provide eqNullSafe >

[jira] [Assigned] (SPARK-20290) PySpark Column should provide eqNullSafe

[ https://issues.apache.org/jira/browse/SPARK-20290?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-20290: Assignee: Apache Spark > PySpark Column should provide eqNullSafe >

[jira] [Commented] (SPARK-20290) PySpark Column should provide eqNullSafe

[ https://issues.apache.org/jira/browse/SPARK-20290?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15964032#comment-15964032 ] Apache Spark commented on SPARK-20290: -- User 'zero323' has created a pull request for this issue:

[jira] [Assigned] (SPARK-20290) PySpark Column should provide eqNullSafe

[ https://issues.apache.org/jira/browse/SPARK-20290?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-20290: Assignee: (was: Apache Spark) > PySpark Column should provide eqNullSafe >

[jira] [Created] (SPARK-20290) PySpark Column should provide eqNullSafe

Maciej Szymkiewicz created SPARK-20290: -- Summary: PySpark Column should provide eqNullSafe Key: SPARK-20290 URL: https://issues.apache.org/jira/browse/SPARK-20290 Project: Spark Issue

[jira] [Assigned] (SPARK-20289) Use StaticInvoke rather than NewInstance for boxing primitive types

[ https://issues.apache.org/jira/browse/SPARK-20289?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-20289: Assignee: Reynold Xin (was: Apache Spark) > Use StaticInvoke rather than NewInstance for

[jira] [Assigned] (SPARK-20289) Use StaticInvoke rather than NewInstance for boxing primitive types

[ https://issues.apache.org/jira/browse/SPARK-20289?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-20289: Assignee: Apache Spark (was: Reynold Xin) > Use StaticInvoke rather than NewInstance for

[jira] [Commented] (SPARK-20289) Use StaticInvoke rather than NewInstance for boxing primitive types

[ https://issues.apache.org/jira/browse/SPARK-20289?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15964005#comment-15964005 ] Apache Spark commented on SPARK-20289: -- User 'rxin' has created a pull request for this issue:

[jira] [Created] (SPARK-20289) Use StaticInvoke rather than NewInstance for boxing primitive types

Reynold Xin created SPARK-20289: --- Summary: Use StaticInvoke rather than NewInstance for boxing primitive types Key: SPARK-20289 URL: https://issues.apache.org/jira/browse/SPARK-20289 Project: Spark

[jira] [Resolved] (SPARK-20097) Fix visibility discrepancy with numInstances and degreesOfFreedom in LR and GLR

[ https://issues.apache.org/jira/browse/SPARK-20097?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Nick Pentreath resolved SPARK-20097. Resolution: Fixed Fix Version/s: 2.2.0 Issue resolved by pull request 17431

[jira] [Commented] (SPARK-20287) Kafka Consumer should be able to subscribe to more than one topic partition

[ https://issues.apache.org/jira/browse/SPARK-20287?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15963939#comment-15963939 ] Stephane Maarek commented on SPARK-20287: - The other issue I can see is the coordinator work that

[jira] [Commented] (SPARK-20287) Kafka Consumer should be able to subscribe to more than one topic partition

[ https://issues.apache.org/jira/browse/SPARK-20287?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15963938#comment-15963938 ] Stephane Maarek commented on SPARK-20287: - [~srowen] those are good points. In the case of 100

[jira] [Reopened] (SPARK-19840) Disallow creating permanent functions with invalid class names

[ https://issues.apache.org/jira/browse/SPARK-19840?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiao Li reopened SPARK-19840: - > Disallow creating permanent functions with invalid class names >

[jira] [Commented] (SPARK-20000) Spark Hive tests aborted due to lz4-java on ppc64le

[ https://issues.apache.org/jira/browse/SPARK-2?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15963922#comment-15963922 ] Ayappan commented on SPARK-2: - Yup! that's right. > Spark Hive tests aborted due to lz4-java on

[jira] [Commented] (SPARK-20287) Kafka Consumer should be able to subscribe to more than one topic partition

[ https://issues.apache.org/jira/browse/SPARK-20287?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15963920#comment-15963920 ] Sean Owen commented on SPARK-20287: --- Spark has a different execution model though where it does want to

[jira] [Resolved] (SPARK-20279) In web ui,'Only showing 200' should be changed to 'only showing last 200'.

[ https://issues.apache.org/jira/browse/SPARK-20279?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen resolved SPARK-20279. --- Resolution: Won't Fix > In web ui,'Only showing 200' should be changed to 'only showing last 200'. >

[jira] [Commented] (SPARK-5928) Remote Shuffle Blocks cannot be more than 2 GB

[ https://issues.apache.org/jira/browse/SPARK-5928?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15963898#comment-15963898 ] Thomas Decaux commented on SPARK-5928: -- Since there is lot of issues with >2G partition (cannot

[jira] [Resolved] (SPARK-14385) Use FunctionIdentifier in FunctionRegistry/SessionCatalog

[ https://issues.apache.org/jira/browse/SPARK-14385?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiao Li resolved SPARK-14385. - Resolution: Fixed Fix Version/s: 2.0.0 > Use FunctionIdentifier in

[jira] [Commented] (SPARK-20288) Improve BasicSchedulerIntegrationSuite "multi-stage job"

[ https://issues.apache.org/jira/browse/SPARK-20288?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15963884#comment-15963884 ] Apache Spark commented on SPARK-20288: -- User 'jinxing64' has created a pull request for this issue:

[jira] [Assigned] (SPARK-20288) Improve BasicSchedulerIntegrationSuite "multi-stage job"

[ https://issues.apache.org/jira/browse/SPARK-20288?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-20288: Assignee: Apache Spark > Improve BasicSchedulerIntegrationSuite "multi-stage job" >

[jira] [Assigned] (SPARK-20288) Improve BasicSchedulerIntegrationSuite "multi-stage job"

[ https://issues.apache.org/jira/browse/SPARK-20288?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-20288: Assignee: (was: Apache Spark) > Improve BasicSchedulerIntegrationSuite "multi-stage

[jira] [Updated] (SPARK-20288) Improve BasicSchedulerIntegrationSuite "multi-stage job"

[ https://issues.apache.org/jira/browse/SPARK-20288?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] jin xing updated SPARK-20288: - Description: ShuffleId is determined before job submitted. But it's hard to predict stageId by

[jira] [Created] (SPARK-20288) Improve BasicSchedulerIntegrationSuite "multi-stage job"

jin xing created SPARK-20288: Summary: Improve BasicSchedulerIntegrationSuite "multi-stage job" Key: SPARK-20288 URL: https://issues.apache.org/jira/browse/SPARK-20288 Project: Spark Issue Type:

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