WweiL commented on code in PR #41129:
URL: https://github.com/apache/spark/pull/41129#discussion_r1205894156
##########
sql/core/src/main/scala/org/apache/spark/sql/streaming/DataStreamWriter.scala:
##########
@@ -451,13 +451,17 @@ final class DataStreamWriter[T] private[sql](ds:
Dataset[T]) {
foreachImplementation(writer.asInstanceOf[ForeachWriter[Any]])
}
- private[sql] def foreachImplementation(writer: ForeachWriter[Any]):
DataStreamWriter[T] = {
+ private[sql] def foreachImplementation(writer: ForeachWriter[Any],
+ encoder: Either[ExpressionEncoder[Any], InternalRow => Any] = null):
DataStreamWriter[T] = {
Review Comment:
Confirmed, I make the encoder to be null and run the `int` code
```
Caused by: java.lang.ClassCastException:
org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema cannot be cast
to java.lang.Integer
```
This is because on the server, the ds is always df (Dataset[Row]), and
therefore ds.expenc doesn't cast the row to Int, which the `process` method uses
##########
sql/core/src/main/scala/org/apache/spark/sql/streaming/DataStreamWriter.scala:
##########
@@ -451,13 +451,17 @@ final class DataStreamWriter[T] private[sql](ds:
Dataset[T]) {
foreachImplementation(writer.asInstanceOf[ForeachWriter[Any]])
}
- private[sql] def foreachImplementation(writer: ForeachWriter[Any]):
DataStreamWriter[T] = {
+ private[sql] def foreachImplementation(writer: ForeachWriter[Any],
+ encoder: Either[ExpressionEncoder[Any], InternalRow => Any] = null):
DataStreamWriter[T] = {
Review Comment:
Confirmed, I make the encoder to be null and run the `int` code
```
Caused by: java.lang.ClassCastException:
org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema cannot be cast
to java.lang.Integer
```
This is because on the server, the ds is always df (Dataset[Row]), and
therefore ds.expenc doesn't cast the row to Int, which the `process` method
expects
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