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Posted to issues@spark.apache.org by "Tymofii (Jira)" <ji...@apache.org> on 2022/09/06 04:34:00 UTC
[jira] [Updated] (SPARK-40351) Spark Sum increases the precision of DecimalType arguments by 10
[ https://issues.apache.org/jira/browse/SPARK-40351?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Tymofii updated SPARK-40351:
----------------------------
Description:
Currently in Spark automatically increases Decimal field by 10 (hard coded value) after SUM aggregate operation - [https://github.com/apache/spark/blob/branch-3.2/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala#L1877.]
There are a couple of questions:
# Why was 10 chosen as default one?
# Does it make sense to allow the user to override this value via configuration?
was:
Currently in Spark automatically increases Decimal field by 10 (hard coded value) after SUM aggregate operation - [https://github.com/apache/spark/blob/branch-3.2/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala#L1877.]
There are a couple of questions:
# Why was 10 chosen as default one?
# Is it make sense to allow the user to override this value via configuration?
> Spark Sum increases the precision of DecimalType arguments by 10
> ----------------------------------------------------------------
>
> Key: SPARK-40351
> URL: https://issues.apache.org/jira/browse/SPARK-40351
> Project: Spark
> Issue Type: Question
> Components: Optimizer
> Affects Versions: 3.2.0
> Reporter: Tymofii
> Priority: Minor
>
> Currently in Spark automatically increases Decimal field by 10 (hard coded value) after SUM aggregate operation - [https://github.com/apache/spark/blob/branch-3.2/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala#L1877.]
> There are a couple of questions:
> # Why was 10 chosen as default one?
> # Does it make sense to allow the user to override this value via configuration?
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