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Posted to issues@spark.apache.org by "jiaan.geng (Jira)" <ji...@apache.org> on 2019/11/07 04:46:00 UTC
[jira] [Updated] (SPARK-27986) Support Aggregate Expressions with
filter
[ https://issues.apache.org/jira/browse/SPARK-27986?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
jiaan.geng updated SPARK-27986:
-------------------------------
Description:
An aggregate expression represents the application of an aggregate function across the rows selected by a query. An aggregate function reduces multiple inputs to a single output value, such as the sum or average of the inputs. The syntax of an aggregate expression is one of the following:
{noformat}
aggregate_name (expression [ , ... ] [ order_by_clause ] ) [ FILTER ( WHERE filter_clause ) ]
aggregate_name (ALL expression [ , ... ] [ order_by_clause ] ) [ FILTER ( WHERE filter_clause ) ]
aggregate_name (DISTINCT expression [ , ... ] [ order_by_clause ] ) [ FILTER ( WHERE filter_clause ) ]
aggregate_name ( * ) [ FILTER ( WHERE filter_clause ) ]
aggregate_name ( [ expression [ , ... ] ] ) WITHIN GROUP ( order_by_clause ) [ FILTER ( WHERE filter_clause ) ]{noformat}
[https://www.postgresql.org/docs/current/sql-expressions.html#SYNTAX-AGGREGATES]
I find this feature is also an ANSI SQL standard.
{code:java}
<aggregate function> ::=
COUNT <left paren> <asterisk> <right paren> [ <filter clause> ]
| <general set function> [ <filter clause> ]
| <binary set function> [ <filter clause> ]
| <ordered set function> [ <filter clause> ]
| <array aggregate function> [ <filter clause> ]
| <row pattern count function> [ <filter clause> ]{code}
was:
An aggregate expression represents the application of an aggregate function across the rows selected by a query. An aggregate function reduces multiple inputs to a single output value, such as the sum or average of the inputs. The syntax of an aggregate expression is one of the following:
{noformat}
aggregate_name (expression [ , ... ] [ order_by_clause ] ) [ FILTER ( WHERE filter_clause ) ]
aggregate_name (ALL expression [ , ... ] [ order_by_clause ] ) [ FILTER ( WHERE filter_clause ) ]
aggregate_name (DISTINCT expression [ , ... ] [ order_by_clause ] ) [ FILTER ( WHERE filter_clause ) ]
aggregate_name ( * ) [ FILTER ( WHERE filter_clause ) ]
aggregate_name ( [ expression [ , ... ] ] ) WITHIN GROUP ( order_by_clause ) [ FILTER ( WHERE filter_clause ) ]{noformat}
[https://www.postgresql.org/docs/current/sql-expressions.html#SYNTAX-AGGREGATES]
> Support Aggregate Expressions with filter
> -----------------------------------------
>
> Key: SPARK-27986
> URL: https://issues.apache.org/jira/browse/SPARK-27986
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Yuming Wang
> Priority: Major
>
> An aggregate expression represents the application of an aggregate function across the rows selected by a query. An aggregate function reduces multiple inputs to a single output value, such as the sum or average of the inputs. The syntax of an aggregate expression is one of the following:
> {noformat}
> aggregate_name (expression [ , ... ] [ order_by_clause ] ) [ FILTER ( WHERE filter_clause ) ]
> aggregate_name (ALL expression [ , ... ] [ order_by_clause ] ) [ FILTER ( WHERE filter_clause ) ]
> aggregate_name (DISTINCT expression [ , ... ] [ order_by_clause ] ) [ FILTER ( WHERE filter_clause ) ]
> aggregate_name ( * ) [ FILTER ( WHERE filter_clause ) ]
> aggregate_name ( [ expression [ , ... ] ] ) WITHIN GROUP ( order_by_clause ) [ FILTER ( WHERE filter_clause ) ]{noformat}
> [https://www.postgresql.org/docs/current/sql-expressions.html#SYNTAX-AGGREGATES]
>
> I find this feature is also an ANSI SQL standard.
> {code:java}
> <aggregate function> ::=
> COUNT <left paren> <asterisk> <right paren> [ <filter clause> ]
> | <general set function> [ <filter clause> ]
> | <binary set function> [ <filter clause> ]
> | <ordered set function> [ <filter clause> ]
> | <array aggregate function> [ <filter clause> ]
> | <row pattern count function> [ <filter clause> ]{code}
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