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Posted to issues@spark.apache.org by "peng bo (JIRA)" <ji...@apache.org> on 2019/04/03 06:59:00 UTC
[jira] [Created] (SPARK-27351) Wrong outputRows estimation after
AggregateEstimation with only null value column
peng bo created SPARK-27351:
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Summary: Wrong outputRows estimation after AggregateEstimation with only null value column
Key: SPARK-27351
URL: https://issues.apache.org/jira/browse/SPARK-27351
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.4.1
Reporter: peng bo
The upper bound of group-by columns row number is to multiply distinct counts of group-by columns. However, column with only null value will cause the output row number to be 0 which is incorrect.
Ex:
col1 (distinct: 2, rowCount 2)
col2 (distinct: 0, rowCount 2)
group by col1, col2
Actual: output rows: 0
Expected: output rows: 2
{code:java}
var outputRows: BigInt = agg.groupingExpressions.foldLeft(BigInt(1))(
(res, expr) => res * childStats.attributeStats(expr.asInstanceOf[Attribute]).distinctCount)
{code}
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