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https://issues.apache.org/jira/browse/SPARK-45592?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-45592.
---------------------------------
Fix Version/s: 4.0.0
3.5.1
Resolution: Fixed
Issue resolved by pull request 43435
[https://github.com/apache/spark/pull/43435]
> AQE and InMemoryTableScanExec correctness bug
> ---------------------------------------------
>
> Key: SPARK-45592
> URL: https://issues.apache.org/jira/browse/SPARK-45592
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.5.0
> Reporter: Emil Ejbyfeldt
> Assignee: Apache Spark
> Priority: Blocker
> Labels: correctness, pull-request-available
> Fix For: 3.5.1, 4.0.0
>
>
> The following query should return 1000000
> {code:java}
> import org.apache.spark.storage.StorageLevelval
> df = spark.range(0, 1000000, 1, 5).map(l => (l, l))
> val ee = df.select($"_1".as("src"), $"_2".as("dst"))
> .persist(StorageLevel.MEMORY_AND_DISK)
> ee.count()
> val minNbrs1 = ee
> .groupBy("src").agg(min(col("dst")).as("min_number"))
> .persist(StorageLevel.MEMORY_AND_DISK)
> val join = ee.join(minNbrs1, "src")
> join.count(){code}
> but on spark 3.5.0 there is a correctness bug causing it to return `104800`
> or some other smaller value.
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