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https://issues.apache.org/jira/browse/CALCITE-1472?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15614139#comment-15614139
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Julian Hyde commented on CALCITE-1472:
--------------------------------------

See 
https://calcite.apache.org/apidocs/org/apache/calcite/sql/validate/SqlConformance.html.
 If you execute the statement {{select * from emp where deptno != 10}} and you 
are not running with conformance=ORACLE_10, the method {{isBangEqualAllowed()}} 
will return false, and the validator will throw an error. We do this because we 
want people to use {{<>}} rather than {{!=}} in vanilla Calcite.

So, you'll need to add a new method to SqlConformance for this functionality.

> Support CROSS/OUTER APPLY syntax
> --------------------------------
>
>                 Key: CALCITE-1472
>                 URL: https://issues.apache.org/jira/browse/CALCITE-1472
>             Project: Calcite
>          Issue Type: New Feature
>            Reporter: Jark Wu
>            Assignee: Julian Hyde
>
> The CROSS/OUTER APPLY is very similar to CROSS JOIN and OUTER JOIN.  The 
> difference is that the APPLY operator is used to invoke a table-valued 
> function. This is not a standard SQL syntax , but introduced from MS SQL 
> Server [1]. 
> The APPLY operator can be expressed by Calciteā€™s LATERAL TABLE . That means 
> the 
> SELECT MyTable.*, t.s FROM MyTable CROSS APPLY split(MyTable.a)) AS t(s)
> corresponds to :
> SELECT MyTable.*, t.s FROM MyTable, LATERAL TABLE(split(MyTable.a)) AS t(s)
> and
> SELECT MyTable.*, t.s FROM MyTable OUTER APPLY split(MyTable.a)) AS t(s)
> corresponds to:
> SELECT MyTable.*, t.s FROM MyTable LEFT JOIN LATERAL TABLE(split(MyTable.a)) 
> AS t(s)  ON TRUE
> The ON TRUE part is necessary for LEFT JOIN, but it's trivial for users. 
> That's why I'm introducing "CROSS/OUTER APPLY" which will simplify the SQL a 
> lot.
> As the APPLY can be expressed by LATERAL, so the only thing we need to touch 
> is the Parser (see [2] and search FLINK to find the modification).  
> [1] https://technet.microsoft.com/en-us/library/ms175156(v=sql.105).aspx
> [2] 
> https://github.com/wuchong/flink/blob/60812e51156ec9fa6088154d2f6dea8c1ff9ac17/flink-libraries/flink-table/src/main/codegen/templates/Parser.jj



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