[jira] [Resolved] (IMPALA-14594) Grouping pre-agg's estimated input cardinality is not scaled by the number of threads

["Joe McDonnell (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/IMPALA-14594?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joe McDonnell resolved IMPALA-14594.
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    Fix Version/s: Impala 5.0.0
       Resolution: Fixed

> Grouping pre-agg's estimated input cardinality is not scaled by the number of threads
> -------------------------------------------------------------------------------------
>
>                 Key: IMPALA-14594
>                 URL: https://issues.apache.org/jira/browse/IMPALA-14594
>             Project: IMPALA
>          Issue Type: Bug
>          Components: Backend
>    Affects Versions: Impala 5.0.0
>            Reporter: Joe McDonnell
>            Assignee: Joe McDonnell
>            Priority: Major
>             Fix For: Impala 5.0.0
>
>
> Grouping pre-aggs decide whether to keep expanding based on whether the aggregation is achieving reduction. It has two measurements: Current reduction is (# input rows - # rows returned passthrough) / # hash table entries. Predicted total reduction is given by this formula (taken from [be/src/exec/grouping-aggregator.cc|https://github.com/apache/impala/blob/4be5fd8896dcd445a6379bdcda4bdcf318f24511/be/src/exec/grouping-aggregator.cc#L376-L380]):
> Extrapolate the current reduction factor (r) using the formula R = 1 + (N/n) * (r - 1), where R is the reduction factor over the full input data set, N is the number of input rows, excluding passed-through rows, and n is the number of rows inserted or merged into the hash tables. This is a very rough approximation but is good enough to be useful.
> The predicted total reduction formula is sensitive to the estimated input cardinality. A fragment instance is only going to be processing a fraction of the input rows, so the estimated input cardinality should be scaled down to the number of input rows expected to be processed by this fragment instance (i.e. the total value should be divided by the number of fragment instances). That is currently not happening, so the estimated reduction is significantly higher than it should be. This causes pre-aggs to expand more aggressively.



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