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Posted to issues@spark.apache.org by "Dongjoon Hyun (JIRA)" <ji...@apache.org> on 2019/04/23 03:32:00 UTC
[jira] [Updated] (SPARK-27539) Fix inaccurate aggregate outputRows
estimation with column containing null values
[ https://issues.apache.org/jira/browse/SPARK-27539?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun updated SPARK-27539:
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Summary: Fix inaccurate aggregate outputRows estimation with column containing null values (was: Inaccurate aggregate outputRows estimation with column contains null value)
> 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
> Priority: Major
>
> 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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