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Posted to issues@spark.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2023/10/20 09:08:00 UTC
[jira] [Assigned] (SPARK-45592) AQE and InMemoryTableScanExec correctness bug
[ https://issues.apache.org/jira/browse/SPARK-45592?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
ASF GitHub Bot reassigned SPARK-45592:
--------------------------------------
Assignee: (was: Apache Spark)
> 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
> Priority: Major
> Labels: pull-request-available
>
> 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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