[jira] [Assigned] (SPARK-27031) Avoid double formatting in timestampToString

2019-03-06 Thread Sean Owen (JIRA)


 [ 
https://issues.apache.org/jira/browse/SPARK-27031?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Sean Owen reassigned SPARK-27031:
-

Assignee: Maxim Gekk

> Avoid double formatting in timestampToString
> 
>
> Key: SPARK-27031
> URL: https://issues.apache.org/jira/browse/SPARK-27031
> Project: Spark
>  Issue Type: Improvement
>  Components: SQL
>Affects Versions: 2.4.0
>Reporter: Maxim Gekk
>Assignee: Maxim Gekk
>Priority: Minor
>
> The method DateTimeUtils.timestampToString performs converting of its input 
> to string twice:
> - First time by converting microseconds to java.sql.Timestamp and toString: 
> https://github.com/apache/spark/blob/8e5f9995cad409799f3646b3d03761a771ea1664/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeUtils.scala#L103
> - Second time by using provided formatter: 
> https://github.com/apache/spark/blob/8e5f9995cad409799f3646b3d03761a771ea1664/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeUtils.scala#L104
> This could be avoided by using specialised TimestampFormatter. 



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org



[jira] [Assigned] (SPARK-27031) Avoid double formatting in timestampToString

2019-03-02 Thread Apache Spark (JIRA)


 [ 
https://issues.apache.org/jira/browse/SPARK-27031?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-27031:


Assignee: Apache Spark

> Avoid double formatting in timestampToString
> 
>
> Key: SPARK-27031
> URL: https://issues.apache.org/jira/browse/SPARK-27031
> Project: Spark
>  Issue Type: Improvement
>  Components: SQL
>Affects Versions: 2.4.0
>Reporter: Maxim Gekk
>Assignee: Apache Spark
>Priority: Minor
>
> The method DateTimeUtils.timestampToString performs converting of its input 
> to string twice:
> - First time by converting microseconds to java.sql.Timestamp and toString: 
> https://github.com/apache/spark/blob/8e5f9995cad409799f3646b3d03761a771ea1664/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeUtils.scala#L103
> - Second time by using provided formatter: 
> https://github.com/apache/spark/blob/8e5f9995cad409799f3646b3d03761a771ea1664/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeUtils.scala#L104
> This could be avoided by using specialised TimestampFormatter. 



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org



[jira] [Assigned] (SPARK-27031) Avoid double formatting in timestampToString

2019-03-02 Thread Apache Spark (JIRA)


 [ 
https://issues.apache.org/jira/browse/SPARK-27031?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-27031:


Assignee: (was: Apache Spark)

> Avoid double formatting in timestampToString
> 
>
> Key: SPARK-27031
> URL: https://issues.apache.org/jira/browse/SPARK-27031
> Project: Spark
>  Issue Type: Improvement
>  Components: SQL
>Affects Versions: 2.4.0
>Reporter: Maxim Gekk
>Priority: Minor
>
> The method DateTimeUtils.timestampToString performs converting of its input 
> to string twice:
> - First time by converting microseconds to java.sql.Timestamp and toString: 
> https://github.com/apache/spark/blob/8e5f9995cad409799f3646b3d03761a771ea1664/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeUtils.scala#L103
> - Second time by using provided formatter: 
> https://github.com/apache/spark/blob/8e5f9995cad409799f3646b3d03761a771ea1664/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeUtils.scala#L104
> This could be avoided by using specialised TimestampFormatter. 



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org