Github user viirya commented on a diff in the pull request: https://github.com/apache/spark/pull/9712#discussion_r44872999 --- Diff: sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/encoders/RowEncoderSuite.scala --- @@ -68,7 +117,36 @@ class RowEncoderSuite extends SparkFunSuite { .add("structOfArray", new StructType().add("array", arrayOfString)) .add("structOfMap", new StructType().add("map", mapOfString)) .add("structOfArrayAndMap", - new StructType().add("array", arrayOfString).add("map", mapOfString))) + new StructType().add("array", arrayOfString).add("map", mapOfString)) + .add("structOfUDT", structOfUDT)) + + test(s"encode/decode: arrayOfUDT") { + val schema = new StructType() + .add("arrayOfUDT", arrayOfUDT) + + val encoder = RowEncoder(schema) + + val input: Row = Row(Seq(new ExamplePoint(0.1, 0.2), new ExamplePoint(0.3, 0.4))) + val row = encoder.toRow(input) + val convertedBack = encoder.fromRow(row) + assert(input.getSeq[ExamplePoint](0) == convertedBack.getSeq[ExamplePoint](0)) + } + + test(s"encode/decode: Product") { + val schema = new StructType() + .add("structAsProduct", + new StructType() + .add("int", IntegerType) + .add("string", StringType) + .add("double", DoubleType)) + + val encoder = RowEncoder(schema) + + val input: Row = Row((100, "test", 0.123)) --- End diff -- If we have an input parameter mapping to a `StructType` field in an `InternalRow`, we will use `Row` as its input type. E.g., `sqlContext.udf.register("udfFunc", (ns: Row) => { (ns.getInt(0), ns.getString(1)) })`. But we can't use `Row` as output type for an UDF. Because we can still get the input schema of `ScalaUDF`'s children expressions later if we can't infer input types correctly by using `schemaFor`. However, the output types of the UDF can be only inferred by `schemaFor`.
--- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org