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Posted to issues@calcite.apache.org by "Stamatis Zampetakis (JIRA)" <ji...@apache.org> on 2019/05/20 07:17:00 UTC

[jira] [Assigned] (CALCITE-3077) Rewrite CUBE&ROLLUP&CUBE queries in SparkSqlDialect

     [ https://issues.apache.org/jira/browse/CALCITE-3077?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Stamatis Zampetakis reassigned CALCITE-3077:
--------------------------------------------

    Assignee: Feng Zhu

> Rewrite CUBE&ROLLUP&CUBE queries in SparkSqlDialect
> ---------------------------------------------------
>
>                 Key: CALCITE-3077
>                 URL: https://issues.apache.org/jira/browse/CALCITE-3077
>             Project: Calcite
>          Issue Type: Bug
>          Components: core
>    Affects Versions: 1.20.0
>            Reporter: Feng Zhu
>            Assignee: Feng Zhu
>            Priority: Major
>
> *Background:* we are building a platform that adopts Calcite to process (i.e., parse&validate&convert&optimize) SQL queries and then regenerate the final SQL. For the purpose of handling large volume data, we use the popular SparkSQL engine to execute the generated SQL query.
> However, we found a great part of real-world test cases failed, due to syntax differences of 
> *_CUBE/ROLLUP/GROUPING SETS_* clauses.  Spark SQL dialect supports only "WITH ROLLUP&CUBE" in the "GROUP BY" clause. The corresponding grammer [1] is defined as below.
> {code:java}
> aggregation
>     : GROUP BY groupingExpressions+=expression (',' groupingExpressions+=expression)* (
>       WITH kind=ROLLUP
>     | WITH kind=CUBE
>     | kind=GROUPING SETS '(' groupingSet (',' groupingSet)* ')')?
>     | GROUP BY kind=GROUPING SETS '(' groupingSet (',' groupingSet)* ')'
> ;
> {code}
> To fill this gap, I think we need to rewrite CUBE/ROLLUP/GROUPING SETS clauses in SparkSqlDialect, especially for some complex cases.
> {code:java}
> group by cube ((a, b), (c, d))
> group by cube(a,b), cube(c,d)
> {code}
> [1]https://github.com/apache/spark/blob/master/sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4



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