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https://issues.apache.org/jira/browse/CALCITE-1472?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15614181#comment-15614181
 ] 

Julian Hyde commented on CALCITE-1472:
--------------------------------------

By the way, 
[here|https://blog.jooq.org/2013/12/18/add-lateral-joins-or-cross-apply-to-your-sql-tool-chain/]
 is a great example that we should include in the test suite:

{code}
SELECT number,
       doubled_number,
       doubled_number_plus_one
FROM master..spt_values
CROSS APPLY (
  SELECT 2 * CAST(number AS BIGINT)
) CA1(doubled_number)
CROSS APPLY (
  SELECT doubled_number + 1
) CA2(doubled_number_plus_one)
{code}


> 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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