Revision c423091432d55fa88c2799181b9d3575213530c8 authored by Huaxin Gao on 17 October 2017, 19:50:41 UTC, committed by gatorsmile on 17 October 2017, 19:53:14 UTC
## What changes were proposed in this pull request?
In Average.scala, it has
```
override lazy val evaluateExpression = child.dataType match {
case DecimalType.Fixed(p, s) =>
// increase the precision and scale to prevent precision loss
val dt = DecimalType.bounded(p + 14, s + 4)
Cast(Cast(sum, dt) / Cast(count, dt), resultType)
case _ =>
Cast(sum, resultType) / Cast(count, resultType)
}
def setChild (newchild: Expression) = {
child = newchild
}
```
It is possible that Cast(count, dt), resultType) will make the precision of the decimal number bigger than 38, and this causes over flow. Since count is an integer and doesn't need a scale, I will cast it using DecimalType.bounded(38,0)
## How was this patch tested?
In DataFrameSuite, I will add a test case.
Please review http://spark.apache.org/contributing.html before opening a pull request.
Author: Huaxin Gao <huaxing@us.ibm.com>
Closes #19496 from huaxingao/spark-22271.
(cherry picked from commit 28f9f3f22511e9f2f900764d9bd5b90d2eeee773)
Signed-off-by: gatorsmile <gatorsmile@gmail.com>
# Conflicts:
# sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
1 parent 71d1cb6
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