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Posted to issues@spark.apache.org by "Greg Rahn (Jira)" <ji...@apache.org> on 2020/08/29 19:16:00 UTC
[jira] [Commented] (SPARK-32726) Filter by column alias in where
clause
[ https://issues.apache.org/jira/browse/SPARK-32726?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17187083#comment-17187083 ]
Greg Rahn commented on SPARK-32726:
-----------------------------------
Standard SQL disallows references to column aliases in a {{WHERE}} clause. This restriction is imposed because when the {{WHERE}} clause is evaluated, the column value may not yet have been determined.
In the ANSI SQL standard and ISO SQL standard, the value that is associated with a column alias does not need to be available until the ORDER BY clause is executed.
There are six parts in the conceptual order of execution of a SELECT statement from the ANSI SQL standard or ISO SQL standard perspective. If all six parts exist, the sequence is the following:
# The FROM part is executed first.
# The WHERE or ON part is executed second.
# The GROUP BY part is executed third.
# The HAVING part is executed fourth.
# The SELECT part is executed fifth.
# The ORDER BY part is executed last.
See also:
* [https://stackoverflow.com/questions/8370114/referring-to-a-column-alias-in-a-where-clause]
* [https://dev.mysql.com/doc/refman/8.0/en/problems-with-alias.html]
> Filter by column alias in where clause
> --------------------------------------
>
> Key: SPARK-32726
> URL: https://issues.apache.org/jira/browse/SPARK-32726
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.1.0
> Reporter: Yuming Wang
> Priority: Major
>
> {{group by}} and {{order by}} clause support it. but {{where}} does not support it:
> {noformat}
> spark-sql> select id + 1 as new_id from range(5) group by new_id order by new_id;
> 1
> 2
> 3
> 4
> 5
> spark-sql> select id + 1 as new_id from range(5) where new_id > 2;
> Error in query: cannot resolve '`new_id`' given input columns: [id]; line 1 pos 44;
> 'Project [('id + 1) AS new_id#5]
> +- 'Filter ('new_id > 2)
> +- Range (0, 5, step=1, splits=None
> spark-sql> select id + 1 as new_id, new_id + 1 as new_new_id from range(5);
> Error in query: cannot resolve '`new_id`' given input columns: [id]; line 1 pos 25;
> 'Project [(id#12L + cast(1 as bigint)) AS new_id#10L, ('new_id + 1) AS new_new_id#11]
> +- Range (0, 5, step=1, splits=None)
> {noformat}
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