cloud-fan commented on a change in pull request #29448:
URL: https://github.com/apache/spark/pull/29448#discussion_r471252206
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File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
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@@ -192,23 +192,19 @@ class DataFrameSuite extends QueryTest
structDf.select(xxhash64($"a", $"record.*")))
}
- test("SPARK-28224: Aggregate sum big decimal overflow") {
+ test("SPARK-28224,SPARK-32018: Aggregate sum big decimal overflow") {
val largeDecimals = spark.sparkContext.parallelize(
DecimalData(BigDecimal("1"* 20 + ".123"), BigDecimal("1"* 20 + ".123"))
::
DecimalData(BigDecimal("9"* 20 + ".123"), BigDecimal("9"* 20 +
".123")) :: Nil).toDF()
Seq(true, false).foreach { ansiEnabled =>
withSQLConf((SQLConf.ANSI_ENABLED.key, ansiEnabled.toString)) {
val structDf = largeDecimals.select("a").agg(sum("a"))
- if (!ansiEnabled) {
- checkAnswer(structDf, Row(null))
- } else {
- val e = intercept[SparkException] {
- structDf.collect
- }
- assert(e.getCause.getClass.equals(classOf[ArithmeticException]))
- assert(e.getCause.getMessage.contains("cannot be represented as
Decimal"))
+ val e = intercept[SparkException] {
+ structDf.collect
Review comment:
Can we add a comment to say that we have to fail overflow with non-ansi
mode as well, and link the related JIRA tickets?
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