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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2019/10/08 05:43:13 UTC
[jira] [Resolved] (SPARK-24362) SUM function precision issue
[ https://issues.apache.org/jira/browse/SPARK-24362?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-24362.
----------------------------------
Resolution: Incomplete
> SUM function precision issue
> ----------------------------
>
> Key: SPARK-24362
> URL: https://issues.apache.org/jira/browse/SPARK-24362
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.0
> Reporter: Yuming Wang
> Priority: Major
> Labels: bulk-closed
>
> How to reproduce:
> {noformat}
> bin/spark-shell --conf spark.sql.autoBroadcastJoinThreshold=-1
> scala> val df = spark.range(6).toDF("c1")
> df: org.apache.spark.sql.DataFrame = [c1: bigint]
> scala> df.join(df, "c1").selectExpr("sum(cast(9.99 as double))").show()
> +-------------------------+
> |sum(CAST(9.99 AS DOUBLE))|
> +-------------------------+
> | 59.940000000000005|
> +-------------------------+{noformat}
>
> More links:
> [https://stackoverflow.com/questions/42158844/about-a-loss-of-precision-when-calculating-an-aggregate-sum-with-data-frames]
> [https://stackoverflow.com/questions/44134497/spark-sql-sum-function-issues-on-double-value]
>
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