You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Raza Jafri (Jira)" <ji...@apache.org> on 2022/11/22 02:58:00 UTC
[jira] [Created] (SPARK-41219) Regression in IntegralDivide
Raza Jafri created SPARK-41219:
----------------------------------
Summary: Regression in IntegralDivide
Key: SPARK-41219
URL: https://issues.apache.org/jira/browse/SPARK-41219
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 3.4.0
Reporter: Raza Jafri
There seems to be a regression in Spark 3.4 Integral Divide
{code:java}
scala> val df = Seq("0.5944910","0.3314242").toDF("a")
df: org.apache.spark.sql.DataFrame = [a: string]
scala> df.selectExpr("cast(a as decimal(7,7)) div 100").show
+---------------------------------+
|(CAST(a AS DECIMAL(7,7)) div 100)|
+---------------------------------+
| null|
| null|
+---------------------------------+
{code}
While in Spark 3.3.0
{code:java}
scala> val df = Seq("0.5944910","0.3314242").toDF("a")
df: org.apache.spark.sql.DataFrame = [a: string]
scala> df.selectExpr("cast(a as decimal(7,7)) div 100").show
+---------------------------------+
|(CAST(a AS DECIMAL(7,7)) div 100)|
+---------------------------------+
| 0|
| 0|
+---------------------------------+
{code}
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org