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https://issues.apache.org/jira/browse/SPARK-27539?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun resolved SPARK-27539.
-----------------------------------
Resolution: Fixed
Assignee: peng bo
Fix Version/s: 2.4.3
3.0.0
This is resolved via https://github.com/apache/spark/pull/24436.
> Fix inaccurate aggregate outputRows estimation with column containing null
> values
> ---------------------------------------------------------------------------------
>
> Key: SPARK-27539
> URL: https://issues.apache.org/jira/browse/SPARK-27539
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: peng bo
> Assignee: peng bo
> Priority: Major
> Fix For: 3.0.0, 2.4.3
>
>
> This issue is follow up of [https://github.com/apache/spark/pull/24286]. As
> [~smilegator] pointed out that column with null value is inaccurate as well.
> {code:java}
> > select key from test;
> 2
> NULL
> 1
> spark-sql> desc extended test key;
> col_name key
> data_type int
> comment NULL
> min 1
> max 2
> num_nulls 1
> distinct_count 2{code}
> The distinct count should be distinct_count + 1 when the column contains null
> value.
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