viirya commented on a change in pull request #31296:
URL: https://github.com/apache/spark/pull/31296#discussion_r565055386
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
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@@ -2007,6 +2007,54 @@ class DatasetSuite extends QueryTest
checkAnswer(withUDF, Row(Row(1), null, null) :: Row(Row(1), null, null) ::
Nil)
}
+
+ test("SPARK-34205: Pipe Dataset") {
+ assume(TestUtils.testCommandAvailable("cat"))
+
+ val nums = spark.range(4)
+ val piped = nums.pipe("cat", (l, printFunc) => printFunc(l.toString)).toDF
Review comment:
Do you think this expression can cover all kind of external process
output? Transform and pipe have arbitrary relation between input and output.
External process can output a line for each input line, can do aggregation-like
output like `wc -l`, can output a line per 2 or 3 input lines, etc. I don't
know how do you define an expression that the output type is not deterministic.
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