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Posted to issues@spark.apache.org by "Yuming Wang (JIRA)" <ji...@apache.org> on 2019/08/08 13:04:00 UTC

[jira] [Updated] (SPARK-27980) Ordered-Set Aggregate Functions

     [ https://issues.apache.org/jira/browse/SPARK-27980?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yuming Wang updated SPARK-27980:
--------------------------------
    Summary: Ordered-Set Aggregate Functions  (was: Add built-in Ordered-Set Aggregate Functions: percentile_cont)

> Ordered-Set Aggregate Functions
> -------------------------------
>
>                 Key: SPARK-27980
>                 URL: https://issues.apache.org/jira/browse/SPARK-27980
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 3.0.0
>            Reporter: Yuming Wang
>            Priority: Major
>
> ||Function||Direct Argument Type(s)||Aggregated Argument Type(s)||Return Type||Partial Mode||Description||
> |{{percentile_cont(_{{fraction}}_) WITHIN GROUP (ORDER BY _{{sort_expression}}_)}}|{{double precision}}|{{double precision}} or {{interval}}|same as sort expression|No|continuous percentile: returns a value corresponding to the specified fraction in the ordering, interpolating between adjacent input items if needed|
> |{{percentile_cont(_{{fractions}}_) WITHIN GROUP (ORDER BY_{{sort_expression}}_)}}|{{double precision[]}}|{{double precision}} or {{interval}}|array of sort expression's type|No|multiple continuous percentile: returns an array of results matching the shape of the _{{fractions}}_ parameter, with each non-null element replaced by the value corresponding to that percentile|
> Currently, the following DBMSs support the syntax:
> https://www.postgresql.org/docs/current/functions-aggregate.html
> https://docs.aws.amazon.com/redshift/latest/dg/r_PERCENTILE_CONT.html
> https://docs.teradata.com/reader/756LNiPSFdY~4JcCCcR5Cw/RgAqeSpr93jpuGAvDTud3w
> https://www.vertica.com/docs/9.2.x/HTML/Content/Authoring/SQLReferenceManual/Functions/Analytic/PERCENTILE_CONTAnalytic.htm?tocpath=SQL%20Reference%20Manual%7CSQL%20Functions%7CAnalytic%20Functions%7C_____25



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