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https://issues.apache.org/jira/browse/SPARK-38286?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-38286.
---------------------------------
Fix Version/s: 3.3.0
3.0.4
3.2.2
3.1.3
Resolution: Fixed
Issue resolved by pull request 35609
[https://github.com/apache/spark/pull/35609]
> Union's maxRows and maxRowsPerPartition may overflow
> ----------------------------------------------------
>
> Key: SPARK-38286
> URL: https://issues.apache.org/jira/browse/SPARK-38286
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.0.3, 3.1.2, 3.2.1, 3.3.0
> Reporter: zhengruifeng
> Assignee: zhengruifeng
> Priority: Major
> Fix For: 3.3.0, 3.0.4, 3.2.2, 3.1.3
>
>
> {code:java}
> scala> val df1 = spark.range(0, Long.MaxValue, 1, 1)
> df1: org.apache.spark.sql.Dataset[Long] = [id: bigint]
> scala> val df2 = spark.range(0, 100, 1, 10)
> df2: org.apache.spark.sql.Dataset[Long] = [id: bigint]
> scala> val union = df1.union(df2)
> union: org.apache.spark.sql.Dataset[Long] = [id: bigint]
> scala> union.queryExecution.logical.maxRowsPerPartition
> res19: Option[Long] = Some(-9223372036854775799)
> scala> union.queryExecution.logical.maxRows
> res20: Option[Long] = Some(-9223372036854775709)
> {code}
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