cloud-fan commented on a change in pull request #28324:
URL: https://github.com/apache/spark/pull/28324#discussion_r414528269
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File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
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@@ -2358,6 +2360,79 @@ class DataFrameSuite extends QueryTest
val df = Seq((1, new CalendarInterval(1, 2, 3))).toDF("a", "b")
checkAnswer(df.selectExpr("b"), Row(new CalendarInterval(1, 2, 3)))
}
+
+ test("array encoder with different types") {
+ // primitives
+ val booleans = Array(true, false)
+ checkAnswer(Seq(booleans).toDF(), Row(booleans))
+
+ val bytes = Array(1.toByte, 2.toByte)
+ checkAnswer(Seq(bytes).toDF(), Row(bytes))
+ val shorts = Array(1.toShort, 2.toShort)
+ checkAnswer(Seq(shorts).toDF(), Row(shorts))
+ val ints = Array(1, 2)
+ checkAnswer(Seq(ints).toDF(), Row(ints))
+ val longs = Array(1L, 2L)
+ checkAnswer(Seq(longs).toDF(), Row(longs))
+
+ val floats = Array(1.0F, 2.0F)
+ checkAnswer(Seq(floats).toDF(), Row(floats))
+ val doubles = Array(1.0D, 2.0D)
+ checkAnswer(Seq(doubles).toDF(), Row(doubles))
+
+ val strings = Array("2020-04-24", "2020-04-25")
+ checkAnswer(Seq(strings).toDF(), Row(strings))
+
+ // tuples
+ val decOne = Decimal(1, 38, 18)
+ val decTwo = Decimal(2, 38, 18)
+ val tuple1 = (1, 2.2, "3.33", decOne, Date.valueOf("2012-11-22"))
+ val tuple2 = (2, 3.3, "4.44", decTwo, Date.valueOf("2022-11-22"))
+ checkAnswer(Seq(Array(tuple1, tuple2)).toDF(), Seq(Seq(tuple1,
tuple2)).toDF())
+
+ // TODO: we can move this implicit def to [[SQLImplicits]] when we
eventually make fully
+ // support for array encoder like Seq and Set
+ // for now cases below, decimal/datetime/interval/binary/nested types, etc,
+ // are not supported by array
+ implicit def newArrayEncoder[T <: Array[_] : TypeTag]: Encoder[T] =
ExpressionEncoder()
+
+ // decimals
+ val decSchema = new StructType()
+ .add("value", "array<decimal(38,18)>")
+ val decSpark = Array(decOne, decTwo)
+ val decScala = decSpark.map(_.toBigDecimal)
+ val decJava = decSpark.map(_.toJavaBigDecimal)
+ checkAnswer(Seq(decSpark).toDF(), new GenericRowWithSchema(Array(decJava),
decSchema))
Review comment:
Why we need `GenericRowWithSchema` here?
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