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https://issues.apache.org/jira/browse/CALCITE-4634?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17356653#comment-17356653
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Julian Hyde commented on CALCITE-4634:
--------------------------------------

But do you think it is better? After your change, the {{Aggregate}} will have 
to compute a {{COUNT}} aggregate function, and there is an extra {{Filter}}. So 
it's not clear whether it is better or worse.

I'm not arguing that your proposed transformation is invalid. I want to know 
whether we will recommend this transformation to users as the default.

There is another possible transformation, also valid: if the metadata indicates 
that the input is never empty (via 
{{RelMetadataQuery.getMinRowCount(RelNode)}}) then we can safely remove the 
last group key. {{RelBuilder.aggregate}} does this already. Then, if there are 
no agg calls, we can convert {{Aggregate(empty group key, no agg calls)}} to 
{{Values(zero columns, one row)}}. (But we run into CALCITE-4597.)

> Improve AggregateProjectPullUpConstantsRule to remove all constant keys
> -----------------------------------------------------------------------
>
>                 Key: CALCITE-4634
>                 URL: https://issues.apache.org/jira/browse/CALCITE-4634
>             Project: Calcite
>          Issue Type: Improvement
>          Components: core
>    Affects Versions: 1.16.0
>            Reporter: Yingyu
>            Priority: Major
>
> Optimizer rule *AggregateProjectPullUpConstantsRule* removes constant keys 
> from an Aggregate. However, this rules never removes the last column, because 
> Aggregate([]) returns 1 row even if its input is empty. 
> An enhancement could be done to AggregateProjectPullUpConstantsRule so that 
> it removes all constant keys:
>  - Remove all constant keys from an Aggregate
>  - (Only)When no key is left from previous step (Aggregate becomes 
> Aggregate([])), add a filter to the Aggregate([]) so that it returns empty 
> dataset if its input is empty. 
> E.g. 
> {noformat}
> SELECT 'abc' FROM table_name GROUP BY ('abc')
> {noformat}
> will be translated to:
> {noformat}
> SELECT 'abc' FROM table_name GROUP BY () having count(*)>0
> {noformat}



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