[jira] [Comment Edited] (CALCITE-4754) Invalid Redshift SQL when executing a PIVOT query

["Javier Rivas Rodriguez (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/CALCITE-4754?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17437663#comment-17437663 ] 

Javier Rivas Rodriguez edited comment on CALCITE-4754 at 11/2/21, 11:24 PM:
----------------------------------------------------------------------------

Ok, I was able to successfully run:
{code:java}
 SELECT 
 field3, 
 SUM(CASE WHEN (field2 = val1) IS TRUE THEN field1 ELSE NULL END), 
 SUM(CASE WHEN (field2 = val2) IS TRUE THEN field1 ELSE NULL END)
FROM my_table
GROUP BY field3{code}
I have also compared the output with:
{code}
SELECT 
 field3, 
 SUM(CASE WHEN field2 = val1 THEN field1 ELSE NULL END), 
 SUM(CASE WHEN field2 = val2 THEN field1 ELSE NULL END)
FROM my_table
GROUP BY field3
{code}
 and it is the same.

 


was (Author: javier.rivas):
Ok, I was able to successfully run:
{code:java}
 SELECT 
 field3, 
 SUM(CASE WHEN (field2 = val1) IS TRUE THEN field1 ELSE NULL END), 
 SUM(CASE WHEN (field2 = val2) IS TRUE THEN field1 ELSE NULL END)
FROM my_table
GROUP BY field3{code}
I have also compared the output with:
SELECT 
 field3, 
 SUM(CASE WHEN field2 = val1 THEN field1 ELSE NULL END), 
 SUM(CASE WHEN field2 = val2 THEN field1 ELSE NULL END)
FROM my_table
GROUP BY field3
 and it is the same.

 

> Invalid Redshift SQL when executing a PIVOT query
> -------------------------------------------------
>
>                 Key: CALCITE-4754
>                 URL: https://issues.apache.org/jira/browse/CALCITE-4754
>             Project: Calcite
>          Issue Type: Bug
>          Components: core
>    Affects Versions: 1.27.0
>            Reporter: Javier Rivas Rodriguez
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 20m
>  Remaining Estimate: 0h
>
> Given a Calcite connection to Redshift
> When running a query like the one below
> {code:java}
> SELECT * 
> FROM 
>   (SELECT field1, field2, field3 
>    FROM my_table) 
> PIVOT SUM(field1) FOR field2 IN (val1, val2){code}
> The SQL produced is something like
> {code:java}
> SELECT 
>   field3, 
>   SUM(field1) FILTER (WHERE field2 = val1), 
>   SUM(field1) FILTER (WHERE field2 = val2)
> FROM my_table
> GROUP BY field3{code}
> This SQL transformation is not accepted by Redshift
> The expected result would be something like
> {code:java}
> SELECT 
>  field3, 
>  SUM(CASE WHEN field2 = val1 THEN field1 ELSE NULL END), 
>  SUM(CASE WHEN field2 = val2 THEN field1 ELSE NULL END)
> FROM my_table
> GROUP BY field3
> {code}



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