You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/06/05 06:48:00 UTC

[jira] [Assigned] (SPARK-31910) Enable Java 8 time API in Thrift server

     [ https://issues.apache.org/jira/browse/SPARK-31910?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-31910:
------------------------------------

    Assignee: Apache Spark

> Enable Java 8 time API in Thrift server
> ---------------------------------------
>
>                 Key: SPARK-31910
>                 URL: https://issues.apache.org/jira/browse/SPARK-31910
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 3.1.0
>            Reporter: Maxim Gekk
>            Assignee: Apache Spark
>            Priority: Major
>
> Switch to Java 8 time API by turning on the SQL config spark.sql.datetime.java8API.enabled to address the following issues:
> # Date and timestamp string literals are parsed by using Java 8 time API and Spark's session time zone. Before the changes, date/timestamp values were collected as legacy types `java.sql.Date`/`java.sql.Timestamp`, and the value of such types didn't respect the config `spark.sql.session.timeZone`. To have consistent view, users had to keep JVM time zone and Spark's session time zone in sync.
> # After the changes, formatting of date values doesn't depend on JVM time zone.
> # While returning dates/timestamps of Java 8 type, we can avoid dates/timestamps rebasing from Proleptic Gregorian calendar to the hybrid calendar (Julian + Gregorian), and the issues related to calendar switching.
> # Properly handle negative years (BCE).
> # Consistent conversion of date/timestamp strings to/from internal Catalyst types in both direction to and from Spark.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

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