mgaido91 commented on a change in pull request #23308: [SPARK-26308][SQL] Avoid
cast of decimals for ScalaUDF
URL: https://github.com/apache/spark/pull/23308#discussion_r242450887
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala
##########
@@ -420,4 +424,32 @@ class UDFSuite extends QueryTest with SharedSQLContext {
checkAnswer(df, Seq(Row("null1x"), Row(null), Row("N3null")))
}
}
+
+ test("SPARK-26308: udf with decimal") {
+ val df1 = spark.createDataFrame(
+ sparkContext.parallelize(Seq(Row(new
BigDecimal("2011000000000002456556")))),
+ StructType(Seq(StructField("col1", DecimalType(30, 0)))))
+ val udf1 = org.apache.spark.sql.functions.udf((value: BigDecimal) => {
+ if (value == null) null else value.toBigInteger.toString
+ })
+ checkAnswer(df1.select(udf1(df1.col("col1"))),
Seq(Row("2011000000000002456556")))
+ }
+
+ test("SPARK-26308: udf with complex types of decimal") {
+ val df1 = spark.createDataFrame(
+ sparkContext.parallelize(Seq(Row(Array(new
BigDecimal("2011000000000002456556"))))),
+ StructType(Seq(StructField("col1", ArrayType(DecimalType(30, 0))))))
+ val udf1 = org.apache.spark.sql.functions.udf((arr:
mutable.WrappedArray[BigDecimal]) => {
Review comment:
we can, thanks.
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