[jira] [Updated] (SPARK-18621) PySQL SQL Types (aka Dataframa Schema) have __repr__() with Scala and not Python representation

[ https://issues.apache.org/jira/browse/SPARK-18621?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Romi Kuntsman updated SPARK-18621: -- Description: When using Python's repr() on an object, the expected result is a string that

[jira] [Created] (SPARK-18621) PySQL SQL Types (aka Dataframa Schema) have __repr__() with Scala and not Python representation

Romi Kuntsman created SPARK-18621: - Summary: PySQL SQL Types (aka Dataframa Schema) have __repr__() with Scala and not Python representation Key: SPARK-18621 URL: https://issues.apache.org/jira/browse/SPARK-18621

[jira] [Commented] (SPARK-4452) Shuffle data structures can starve others on the same thread for memory

[ https://issues.apache.org/jira/browse/SPARK-4452?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15255658#comment-15255658 ] Romi Kuntsman commented on SPARK-4452: -- Hi, what's the reason this will only be available in Spark

[jira] [Commented] (SPARK-11293) Spillable collections leak shuffle memory

[ https://issues.apache.org/jira/browse/SPARK-11293?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15098008#comment-15098008 ] Romi Kuntsman commented on SPARK-11293: --- so add 1.6.0 as affected version... > Spillable

[jira] [Commented] (SPARK-11293) Spillable collections leak shuffle memory

[ https://issues.apache.org/jira/browse/SPARK-11293?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15096375#comment-15096375 ] Romi Kuntsman commented on SPARK-11293: --- so should be reopened or not? is there still a memory

[jira] [Commented] (SPARK-3665) Java API for GraphX

[ https://issues.apache.org/jira/browse/SPARK-3665?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15085452#comment-15085452 ] Romi Kuntsman commented on SPARK-3665: -- So at what version of Spark is it expected to happen? > Java

[jira] [Issue Comment Deleted] (SPARK-3665) Java API for GraphX

[ https://issues.apache.org/jira/browse/SPARK-3665?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Romi Kuntsman updated SPARK-3665: - Comment: was deleted (was: So at what version of Spark is it expected to happen?) > Java API for

[jira] [Commented] (SPARK-3665) Java API for GraphX

[ https://issues.apache.org/jira/browse/SPARK-3665?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15085454#comment-15085454 ] Romi Kuntsman commented on SPARK-3665: -- So at what version of Spark is it expected to happen? >

[jira] [Commented] (SPARK-11293) Spillable collections leak shuffle memory

[ https://issues.apache.org/jira/browse/SPARK-11293?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15008738#comment-15008738 ] Romi Kuntsman commented on SPARK-11293: --- The memory manager was rewritten there? Could it have

[jira] [Commented] (SPARK-6962) Netty BlockTransferService hangs in the middle of SQL query

[ https://issues.apache.org/jira/browse/SPARK-6962?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15005851#comment-15005851 ] Romi Kuntsman commented on SPARK-6962: -- what's the status of this? something similar happens to me in

[jira] [Commented] (SPARK-3767) Support wildcard in Spark properties

[ https://issues.apache.org/jira/browse/SPARK-3767?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14996389#comment-14996389 ] Romi Kuntsman commented on SPARK-3767: -- [~andrewor14] what's going on with this issue? I found a

[jira] [Commented] (SPARK-11229) NPE in JoinedRow.isNullAt when spark.shuffle.memoryFraction=0

[ https://issues.apache.org/jira/browse/SPARK-11229?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14968662#comment-14968662 ] Romi Kuntsman commented on SPARK-11229: --- [~marmbrus] it's reproducible in 1.5.1 as [~xwu0226]

[jira] [Commented] (SPARK-7335) Submitting a query to Thrift Server occurs error: java.lang.IllegalStateException: unread block data

[ https://issues.apache.org/jira/browse/SPARK-7335?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14966490#comment-14966490 ] Romi Kuntsman commented on SPARK-7335: -- [~meiyoula] can you please reopen the issue? I got this

[jira] [Created] (SPARK-11229) NPE in JoinedRow.isNullAt when spark.shuffle.memoryFraction=0

Romi Kuntsman created SPARK-11229: - Summary: NPE in JoinedRow.isNullAt when spark.shuffle.memoryFraction=0 Key: SPARK-11229 URL: https://issues.apache.org/jira/browse/SPARK-11229 Project: Spark

[jira] [Commented] (SPARK-11153) Turns off Parquet filter push-down for string and binary columns

[ https://issues.apache.org/jira/browse/SPARK-11153?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14966306#comment-14966306 ] Romi Kuntsman commented on SPARK-11153: --- Does this mean that all Spark 1.5.1 are recommended to set

[jira] [Created] (SPARK-11228) Job stuck in Executor failure loop when NettyTransport failed to bind

Romi Kuntsman created SPARK-11228: - Summary: Job stuck in Executor failure loop when NettyTransport failed to bind Key: SPARK-11228 URL: https://issues.apache.org/jira/browse/SPARK-11228 Project:

[jira] [Commented] (SPARK-2563) Re-open sockets to handle connect timeouts

[ https://issues.apache.org/jira/browse/SPARK-2563?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14955264#comment-14955264 ] Romi Kuntsman commented on SPARK-2563: -- i got a socket timeout in spark 1.4.0 is this still relevant

[jira] [Commented] (SPARK-5421) SparkSql throw OOM at shuffle

[ https://issues.apache.org/jira/browse/SPARK-5421?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14734561#comment-14734561 ] Romi Kuntsman commented on SPARK-5421: -- does this still happen on the latest version? I got some OOM

[jira] [Created] (SPARK-10135) Percent of pruned partitions is shown wrong

Romi Kuntsman created SPARK-10135: - Summary: Percent of pruned partitions is shown wrong Key: SPARK-10135 URL: https://issues.apache.org/jira/browse/SPARK-10135 Project: Spark Issue Type:

[jira] [Commented] (SPARK-2579) Reading from S3 returns an inconsistent number of items with Spark 0.9.1

[ https://issues.apache.org/jira/browse/SPARK-2579?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14324285#comment-14324285 ] Romi Kuntsman commented on SPARK-2579: -- Does this still happen with Spark 1.2.1?

[jira] [Commented] (SPARK-4879) Missing output partitions after job completes with speculative execution

[ https://issues.apache.org/jira/browse/SPARK-4879?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14324278#comment-14324278 ] Romi Kuntsman commented on SPARK-4879: -- Could this happen very very rarely when not

[jira] [Commented] (SPARK-2867) saveAsHadoopFile() in PairRDDFunction.scala should allow use other OutputCommiter class

[ https://issues.apache.org/jira/browse/SPARK-2867?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14207997#comment-14207997 ] Romi Kuntsman commented on SPARK-2867: -- In the latest code, it seems to be resolved