[jira] [Updated] (SPARK-17381) Memory leak org.apache.spark.sql.execution.ui.SQLTaskMetrics

2016-09-02 Thread Joao (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17381?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joao updated SPARK-17381: - Description: I am running a Spark Streaming application from a Kinesis stream. After some hours running it gets

[jira] [Updated] (SPARK-17381) Memory leak org.apache.spark.sql.execution.ui.SQLTaskMetrics

2016-09-02 Thread Joao (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17381?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joao updated SPARK-17381: - Description: I am running a Spark Streaming application from a Kinesis stream. After some hours running it gets

[jira] [Created] (SPARK-17381) Memory leak org.apache.spark.sql.execution.ui.SQLTaskMetrics

2016-09-02 Thread Joao (JIRA)
Joao created SPARK-17381: Summary: Memory leak org.apache.spark.sql.execution.ui.SQLTaskMetrics Key: SPARK-17381 URL: https://issues.apache.org/jira/browse/SPARK-17381 Project: Spark Issue Type:

[jira] [Updated] (SPARK-12878) Dataframe fails with nested User Defined Types

2016-01-18 Thread Joao (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-12878?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joao updated SPARK-12878: - Description: Spark 1.6.0 crashes when using nested User Defined Types in a Dataframe. In version 1.5.2 the code

[jira] [Created] (SPARK-12878) Dataframe fails with nested User Defined Types

2016-01-18 Thread Joao (JIRA)
Joao created SPARK-12878: Summary: Dataframe fails with nested User Defined Types Key: SPARK-12878 URL: https://issues.apache.org/jira/browse/SPARK-12878 Project: Spark Issue Type: Bug

[jira] [Commented] (SPARK-10632) Cannot save DataFrame with User Defined Types

2015-09-17 Thread Joao (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-10632?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14804314#comment-14804314 ] Joao commented on SPARK-10632: -- Thanks Joseph. I tried with Spark 1.5.0 in Windows 7, standalone mode. Do

[jira] [Updated] (SPARK-10632) Cannot save DataFrame with User Defined Types

2015-09-16 Thread Joao (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-10632?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joao updated SPARK-10632: - Description: Cannot save DataFrames that contain user-defined types. At first I thought it was a problem with my

[jira] [Updated] (SPARK-10632) Cannot save DataFrame with User Defined Types

2015-09-16 Thread Joao (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-10632?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joao updated SPARK-10632: - Description: Cannot save DataFrames that contain user-defined types. I tried to save a dataframe with instances

[jira] [Created] (SPARK-10632) Cannot save DataFrame with User Defined Types

2015-09-16 Thread Joao (JIRA)
Joao created SPARK-10632: Summary: Cannot save DataFrame with User Defined Types Key: SPARK-10632 URL: https://issues.apache.org/jira/browse/SPARK-10632 Project: Spark Issue Type: Bug

[jira] [Created] (SPARK-10637) DataFrames: saving with nested User Data Types

2015-09-16 Thread Joao (JIRA)
Joao created SPARK-10637: Summary: DataFrames: saving with nested User Data Types Key: SPARK-10637 URL: https://issues.apache.org/jira/browse/SPARK-10637 Project: Spark Issue Type: Bug

[jira] [Updated] (SPARK-10637) DataFrames: saving with nested User Data Types

2015-09-16 Thread Joao (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-10637?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joao updated SPARK-10637: - Description: Cannot save data frames using nested UserDefinedType I wrote a simple example to show the error.

[jira] [Updated] (SPARK-10632) Cannot save DataFrame with User Defined Types

2015-09-16 Thread Joao (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-10632?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joao updated SPARK-10632: - Description: Cannot save DataFrames that contain user-defined types. I tried to save a dataframe with instances