[jira] [Commented] (SPARK-18971) Netty issue may cause the shuffle client hang

[ https://issues.apache.org/jira/browse/SPARK-18971?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15821707#comment-15821707 ] Apache Spark commented on SPARK-18971: -- User 'zsxwing' has created a pull request for this issue:

[jira] [Assigned] (SPARK-18971) Netty issue may cause the shuffle client hang

[ https://issues.apache.org/jira/browse/SPARK-18971?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-18971: Assignee: (was: Apache Spark) > Netty issue may cause the shuffle client hang >

[jira] [Updated] (SPARK-19210) Add log level info into streaming checkpoint

[ https://issues.apache.org/jira/browse/SPARK-19210?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen updated SPARK-19210: -- Target Version/s: (was: 2.0.3, 2.1.1) Priority: Minor (was: Major) Issue Type:

[jira] [Created] (SPARK-19212) Parse the view query in HiveSessionCatalog

Jiang Xingbo created SPARK-19212: Summary: Parse the view query in HiveSessionCatalog Key: SPARK-19212 URL: https://issues.apache.org/jira/browse/SPARK-19212 Project: Spark Issue Type:

[jira] [Created] (SPARK-19211) Explicitly prevent Insert into View or Create View As Insert

Jiang Xingbo created SPARK-19211: Summary: Explicitly prevent Insert into View or Create View As Insert Key: SPARK-19211 URL: https://issues.apache.org/jira/browse/SPARK-19211 Project: Spark

[jira] [Assigned] (SPARK-19210) Add log level info into streaming checkpoint

[ https://issues.apache.org/jira/browse/SPARK-19210?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-19210: Assignee: Apache Spark > Add log level info into streaming checkpoint >

[jira] [Commented] (SPARK-19210) Add log level info into streaming checkpoint

[ https://issues.apache.org/jira/browse/SPARK-19210?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15821689#comment-15821689 ] Apache Spark commented on SPARK-19210: -- User 'uncleGen' has created a pull request for this issue:

[jira] [Assigned] (SPARK-19210) Add log level info into streaming checkpoint

[ https://issues.apache.org/jira/browse/SPARK-19210?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-19210: Assignee: (was: Apache Spark) > Add log level info into streaming checkpoint >

[jira] [Created] (SPARK-19210) Add log level info into streaming checkpoint

Genmao Yu created SPARK-19210: - Summary: Add log level info into streaming checkpoint Key: SPARK-19210 URL: https://issues.apache.org/jira/browse/SPARK-19210 Project: Spark Issue Type: Bug

[jira] [Assigned] (SPARK-18863) Output non-aggregate expressions without GROUP BY in a subquery does not yield an error

[ https://issues.apache.org/jira/browse/SPARK-18863?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-18863: Assignee: (was: Apache Spark) > Output non-aggregate expressions without GROUP BY in

[jira] [Assigned] (SPARK-18863) Output non-aggregate expressions without GROUP BY in a subquery does not yield an error

[ https://issues.apache.org/jira/browse/SPARK-18863?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-18863: Assignee: Apache Spark > Output non-aggregate expressions without GROUP BY in a subquery

[jira] [Commented] (SPARK-18863) Output non-aggregate expressions without GROUP BY in a subquery does not yield an error

[ https://issues.apache.org/jira/browse/SPARK-18863?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15821679#comment-15821679 ] Apache Spark commented on SPARK-18863: -- User 'nsyca' has created a pull request for this issue:

[jira] [Updated] (SPARK-19189) Optimize CartesianRDD to avoid partition re-computation and re-serialization

[ https://issues.apache.org/jira/browse/SPARK-19189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Weichen Xu updated SPARK-19189: --- Priority: Minor (was: Major) > Optimize CartesianRDD to avoid partition re-computation and

[jira] [Updated] (SPARK-19190) Optimize CartesianRDD to avoid partition re-computation and re-serialization

[ https://issues.apache.org/jira/browse/SPARK-19190?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Weichen Xu updated SPARK-19190: --- Issue Type: Improvement (was: Bug) > Optimize CartesianRDD to avoid partition re-computation and

[jira] [Updated] (SPARK-19190) Optimize CartesianRDD to avoid partition re-computation and re-serialization

[ https://issues.apache.org/jira/browse/SPARK-19190?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Weichen Xu updated SPARK-19190: --- Priority: Minor (was: Major) > Optimize CartesianRDD to avoid partition re-computation and

[jira] [Updated] (SPARK-19203) Optimize CartesianRDD to avoid partition re-computation and re-serialization

[ https://issues.apache.org/jira/browse/SPARK-19203?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Weichen Xu updated SPARK-19203: --- Priority: Minor (was: Major) > Optimize CartesianRDD to avoid partition re-computation and

[jira] [Updated] (SPARK-19189) Optimize CartesianRDD to avoid partition re-computation and re-serialization

[ https://issues.apache.org/jira/browse/SPARK-19189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Weichen Xu updated SPARK-19189: --- Issue Type: Improvement (was: Bug) > Optimize CartesianRDD to avoid partition re-computation and

[jira] [Assigned] (SPARK-19065) Bad error when using dropDuplicates in Streaming

[ https://issues.apache.org/jira/browse/SPARK-19065?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-19065: Assignee: (was: Apache Spark) > Bad error when using dropDuplicates in Streaming >

[jira] [Assigned] (SPARK-19065) Bad error when using dropDuplicates in Streaming

[ https://issues.apache.org/jira/browse/SPARK-19065?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-19065: Assignee: Apache Spark > Bad error when using dropDuplicates in Streaming >

[jira] [Commented] (SPARK-19065) Bad error when using dropDuplicates in Streaming

[ https://issues.apache.org/jira/browse/SPARK-19065?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15821658#comment-15821658 ] Apache Spark commented on SPARK-19065: -- User 'zsxwing' has created a pull request for this issue:

[jira] [Updated] (SPARK-19209) "No suitable driver" on first try

[ https://issues.apache.org/jira/browse/SPARK-19209?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Daniel Darabos updated SPARK-19209: --- Description: This is a regression from Spark 2.0.2. Observe! {code} $

[jira] [Commented] (SPARK-19209) "No suitable driver" on first try

[ https://issues.apache.org/jira/browse/SPARK-19209?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15821578#comment-15821578 ] Daniel Darabos commented on SPARK-19209: Puzzlingly this only happens in the application when the

[jira] [Created] (SPARK-19209) "No suitable driver" on first try

Daniel Darabos created SPARK-19209: -- Summary: "No suitable driver" on first try Key: SPARK-19209 URL: https://issues.apache.org/jira/browse/SPARK-19209 Project: Spark Issue Type: Bug

[jira] [Updated] (SPARK-19208) MaxAbsScaler and MinMaxScaler are very inefficient

[ https://issues.apache.org/jira/browse/SPARK-19208?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zhengruifeng updated SPARK-19208: - Description: Now, {{MaxAbsScaler}} and {{MinMaxScaler}} are using

[jira] [Updated] (SPARK-19208) MaxAbsScaler and MinMaxScaler are very inefficient

[ https://issues.apache.org/jira/browse/SPARK-19208?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zhengruifeng updated SPARK-19208: - Description: Now, {{MaxAbsScaler}} and {{MinMaxScaler}} are using

[jira] [Updated] (SPARK-19208) MaxAbsScaler and MinMaxScaler are very inefficient

[ https://issues.apache.org/jira/browse/SPARK-19208?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zhengruifeng updated SPARK-19208: - Description: Now, {{MaxAbsScaler}} and {{MinMaxScaler}} are using

[jira] [Commented] (SPARK-19208) MaxAbsScaler and MinMaxScaler are very inefficient

[ https://issues.apache.org/jira/browse/SPARK-19208?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15821549#comment-15821549 ] Apache Spark commented on SPARK-19208: -- User 'zhengruifeng' has created a pull request for this

[jira] [Assigned] (SPARK-19208) MaxAbsScaler and MinMaxScaler are very inefficient

[ https://issues.apache.org/jira/browse/SPARK-19208?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-19208: Assignee: Apache Spark > MaxAbsScaler and MinMaxScaler are very inefficient >

[jira] [Updated] (SPARK-19208) MaxAbsScaler and MinMaxScaler are very inefficient

[ https://issues.apache.org/jira/browse/SPARK-19208?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zhengruifeng updated SPARK-19208: - Description: Now, {{MaxAbsScaler}} and {{MinMaxScaler}} are using

[jira] [Updated] (SPARK-19208) MaxAbsScaler and MinMaxScaler are very inefficient

[ https://issues.apache.org/jira/browse/SPARK-19208?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zhengruifeng updated SPARK-19208: - Attachment: WechatIMG2621.jpeg OOM > MaxAbsScaler and MinMaxScaler are very inefficient >

[jira] [Created] (SPARK-19208) MaxAbsScaler and MinMaxScaler are very inefficient

zhengruifeng created SPARK-19208: Summary: MaxAbsScaler and MinMaxScaler are very inefficient Key: SPARK-19208 URL: https://issues.apache.org/jira/browse/SPARK-19208 Project: Spark Issue

[jira] [Comment Edited] (SPARK-18667) input_file_name function does not work with UDF

[ https://issues.apache.org/jira/browse/SPARK-18667?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15821506#comment-15821506 ] Ben edited comment on SPARK-18667 at 1/13/17 9:53 AM: -- So, I created a new example

[jira] [Commented] (SPARK-18667) input_file_name function does not work with UDF

[ https://issues.apache.org/jira/browse/SPARK-18667?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15821506#comment-15821506 ] Ben commented on SPARK-18667: - So, I created a new example now, and here is the code for everything: a.xml:

[jira] [Assigned] (SPARK-19207) LocalSparkSession should use Slf4JLoggerFactory.INSTANCE instead of creating new object via constructor

[ https://issues.apache.org/jira/browse/SPARK-19207?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-19207: Assignee: Apache Spark > LocalSparkSession should use Slf4JLoggerFactory.INSTANCE instead

[jira] [Commented] (SPARK-19207) LocalSparkSession should use Slf4JLoggerFactory.INSTANCE instead of creating new object via constructor

[ https://issues.apache.org/jira/browse/SPARK-19207?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15821467#comment-15821467 ] Apache Spark commented on SPARK-19207: -- User 'oza' has created a pull request for this issue:

[jira] [Assigned] (SPARK-19207) LocalSparkSession should use Slf4JLoggerFactory.INSTANCE instead of creating new object via constructor

[ https://issues.apache.org/jira/browse/SPARK-19207?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-19207: Assignee: (was: Apache Spark) > LocalSparkSession should use

[jira] [Commented] (SPARK-19207) LocalSparkSession should use Slf4JLoggerFactory.INSTANCE instead of creating new object via constructor

[ https://issues.apache.org/jira/browse/SPARK-19207?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15821417#comment-15821417 ] Tsuyoshi Ozawa commented on SPARK-19207: I will send PR to fix this problem > LocalSparkSession

[jira] [Created] (SPARK-19207) LocalSparkSession should use Slf4JLoggerFactory.INSTANCE instead of creating new object via constructor

Tsuyoshi Ozawa created SPARK-19207: -- Summary: LocalSparkSession should use Slf4JLoggerFactory.INSTANCE instead of creating new object via constructor Key: SPARK-19207 URL:

[jira] [Assigned] (SPARK-19206) Update outdated parameter descriptions in external-kafka module

[ https://issues.apache.org/jira/browse/SPARK-19206?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-19206: Assignee: Apache Spark > Update outdated parameter descriptions in external-kafka module

[jira] [Assigned] (SPARK-19206) Update outdated parameter descriptions in external-kafka module

[ https://issues.apache.org/jira/browse/SPARK-19206?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-19206: Assignee: (was: Apache Spark) > Update outdated parameter descriptions in

[jira] [Commented] (SPARK-19206) Update outdated parameter descriptions in external-kafka module

[ https://issues.apache.org/jira/browse/SPARK-19206?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15821410#comment-15821410 ] Apache Spark commented on SPARK-19206: -- User 'uncleGen' has created a pull request for this issue:

[jira] [Updated] (SPARK-19206) Update outdated parameter descripions in external-kafka module

[ https://issues.apache.org/jira/browse/SPARK-19206?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Genmao Yu updated SPARK-19206: -- Summary: Update outdated parameter descripions in external-kafka module (was: Update outdated

[jira] [Updated] (SPARK-19206) Update outdated parameter descriptions in external-kafka module

[ https://issues.apache.org/jira/browse/SPARK-19206?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Genmao Yu updated SPARK-19206: -- Summary: Update outdated parameter descriptions in external-kafka module (was: Update outdated

[jira] [Created] (SPARK-19206) Update outdated parameter descripions

Genmao Yu created SPARK-19206: - Summary: Update outdated parameter descripions Key: SPARK-19206 URL: https://issues.apache.org/jira/browse/SPARK-19206 Project: Spark Issue Type: Bug

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