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https://issues.apache.org/jira/browse/CALCITE-3594?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16994046#comment-16994046
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Danny Chen commented on CALCITE-3594:
-------------------------------------

Thanks for firing this issue [~amaliujia] ~, currently, there is no any hints 
item implementations in Calcite,
i'm glad that we now began to add some builtin items

To add one, we may:

- define a hint keyword (We may some reference with other engines to give it a 
readable name)
- define the hint options(either a simple identifier list or k-v list), need to 
make the options as much common to use
- define the hint strategy for the hint item (see if you need some special 
conditions for the relational expressions)

> Support hot Groupby keys hint
> -----------------------------
>
>                 Key: CALCITE-3594
>                 URL: https://issues.apache.org/jira/browse/CALCITE-3594
>             Project: Calcite
>          Issue Type: Sub-task
>            Reporter: Rui Wang
>            Assignee: Rui Wang
>            Priority: Major
>
> It will be useful for Apache Beam if we support the following SqlHint:
> SELECT * FROM t
> GROUP BY t.key_column /* + hot_key(key1=fanout_factor, ...) */)
> The hot key strategy works on aggregation and it provides a list of hot keys 
> with fanout factor for a column. The fanout factor says how many partition 
> should be created for that specific key, such that we can have a per 
> partition aggregate and then have a final aggregate. One example to explain 
> it:
> SELECT * FROM t
> GROUP BY t.key_column /* + hot_key("value1"=2) */)
> // for the key_column, there is a "value1" which appear so many times (so 
> it's hot), please consider split it into two partition and process separately.
> Such problem is common for big data processing, where hot key creates slowest 
> machine which either slow down the whole pipeline or make retries. In such 
> case, one common resolution is to split data to multiple partition and 
> aggregate per partition, and then have a final combine. 
> Usually execution engine won't know what is the hot key(s). SqlHint provides 
> a good way to tell the engine which key is useful to deal with it.



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