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https://issues.apache.org/jira/browse/IMPALA-8219?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Paul Rogers reassigned IMPALA-8219:
-----------------------------------

    Assignee:     (was: Paul Rogers)

> Pick among join plans based on table size, not just cardinality
> ---------------------------------------------------------------
>
>                 Key: IMPALA-8219
>                 URL: https://issues.apache.org/jira/browse/IMPALA-8219
>             Project: IMPALA
>          Issue Type: Improvement
>          Components: Frontend
>    Affects Versions: Impala 3.1.0
>            Reporter: Paul Rogers
>            Priority: Minor
>
> The code in {{SingleNodePlanner}} currently picks among join candidates by 
> considering only cardinality of the joins:
> {code:java}
>            if (newRoot == null
>               || (candidate.getClass().equals(newRoot.getClass())
>                   && candidate.getCardinality() < newRoot.getCardinality())
>               || ...) {
>             newRoot = candidate;
>             minEntry = entry;
>           }
> {code}
> If we have a start-schema, then a single fact table will join to potentially 
> many fact tables. By definition, there is a M:1 relationship between the fact 
> and dimension tables, so all joins will produce the same join cardinality. In 
> this case, we should consider hash table size, not just join cardinality. 
> That way, the smallest rows will be joined first, with the largest rows 
> latest. This avoids sending the larger rows over the network and prefers to 
> send the smallest across the most hops.
> Somewhere in the code is a comment that claims we do try to minimize hash 
> table size, but it perhaps refers to entries, not entry size.



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