HyukjinKwon commented on a change in pull request #24232: [SPARK-27297] [SQL] Add higher order functions to scala API URL: https://github.com/apache/spark/pull/24232#discussion_r315993792
########## File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameFunctionsSuite.scala ########## @@ -1917,19 +1921,33 @@ class DataFrameFunctionsSuite extends QueryTest with SharedSparkSession { null ).toDF("i") + // transform(i, x -> x + 1) + val resA = Seq( + Row(Seq(2, 10, 9, 8)), + Row(Seq(6, 9, 10, 8, 3)), + Row(Seq.empty), + Row(null)) + + // transform(i, (x, i) -> x + i) + val resB = Seq( + Row(Seq(1, 10, 10, 10)), + Row(Seq(5, 9, 11, 10, 6)), + Row(Seq.empty), + Row(null)) + def testArrayOfPrimitiveTypeNotContainsNull(): Unit = { - checkAnswer(df.selectExpr("transform(i, x -> x + 1)"), - Seq( - Row(Seq(2, 10, 9, 8)), - Row(Seq(6, 9, 10, 8, 3)), - Row(Seq.empty), - Row(null))) - checkAnswer(df.selectExpr("transform(i, (x, i) -> x + i)"), - Seq( - Row(Seq(1, 10, 10, 10)), - Row(Seq(5, 9, 11, 10, 6)), - Row(Seq.empty), - Row(null))) + checkAnswer(df.selectExpr("transform(i, x -> x + 1)"), resA) + checkAnswer(df.selectExpr("transform(i, (x, i) -> x + i)"), resB) + + checkAnswer(df.select(transform(col("i"), x => x + 1)), resA) + checkAnswer(df.select(transform(col("i"), (x, i) => x + i)), resB) + + checkAnswer(df.select(transform(col("i"), new JFunc { + def call(x: Column) = x + 1 + })), resA) + checkAnswer(df.select(transform(col("i"), new JFunc2 { + def call(x: Column, i: Column) = x + i + })), resB) Review comment: > As for these, the arguments are scala.Function1 and org.apache.spark.api.java.function.Function, Java compiler recognizes both as SAM (Single Abstract Method) type when resolving x -> x, and they are ambiguous. Sounds like a valid concern to me. Does such `x -> x` syntax work in Java too? ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org