You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2020/01/06 06:17:00 UTC
[jira] [Commented] (SPARK-30335) Clarify behavior of FIRST and LAST
without OVER caluse.
[ https://issues.apache.org/jira/browse/SPARK-30335?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17008566#comment-17008566 ]
Hyukjin Kwon commented on SPARK-30335:
--------------------------------------
They are not deterministic.
> Clarify behavior of FIRST and LAST without OVER caluse.
> -------------------------------------------------------
>
> Key: SPARK-30335
> URL: https://issues.apache.org/jira/browse/SPARK-30335
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 2.4.0, 3.0.0
> Reporter: xqods9o5ekm3
> Priority: Major
>
> Unlike many databases, Spark SQL allows usage of {{FIRST}} and {{LAST}} in non-analytic contexts.
>
> At the moment {{FIRST}}
>
> > first(expr[, isIgnoreNull]) - Returns the first value of {{expr}} for a group of rows. If {{isIgnoreNull}} is true, returns only non-null values.
>
> and {{LAST}}
>
> > last(expr[, isIgnoreNull]) - Returns the last value of {{expr}} for a group of rows. If {{isIgnoreNull}} is true, returns only non-null values.
>
> descriptions, suggest that their behavior is deterministic and many users assume that it return specific values for example when query
>
> {code:sql}
> SELECT first(foo)
> FROM (
> SELECT * FROM table ORDER BY bar
> )
> {code}
> That however doesn't seem to be the case.
> To make situation worse, it seems to work (for example on small samples in local mode).
--
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