dongjoon-hyun commented on a change in pull request #24505: [SPARK-27607][SQL]
Improve Row.toString performance
URL: https://github.com/apache/spark/pull/24505#discussion_r280230619
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File path: sql/core/src/test/scala/org/apache/spark/sql/RowSuite.scala
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@@ -84,4 +84,17 @@ class RowSuite extends SparkFunSuite with SharedSQLContext {
val r3 = Row("World")
assert(r3.hashCode() != r1.hashCode())
}
+
+ test("toString") {
+ val r1 = Row(2147483647, 21474.83647, (-5).toShort, "this is a string",
true, null)
+ assert(r1.toString == "[2147483647,21474.83647,-5,this is a
string,true,null]")
+ val r2 = Row(null, Int.MinValue, Double.NaN, Short.MaxValue, "", false)
+ assert(r2.toString == "[null,-2147483648,NaN,32767,,false]")
+ val tsString = "2019-05-01 17:30:12.0"
+ val r3 = Row(r1, Seq(1, 2, 3), Map(1 -> "a", 2 -> "b"),
java.sql.Timestamp.valueOf(tsString))
+ assert(r3.toString == "[[2147483647,21474.83647,-5,this is a
string,true,null]," +
+ s"List(1, 2, 3),Map(1 -> a, 2 -> b),$tsString]")
+ val empty = Row()
+ assert(empty.toString == "[]")
Review comment:
Looks good. @mgaido91 .
Could you add more to be complete? For example, `ByteType`, `DecimalType`,
`DateType`, `BinaryType`, `StructType`?
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