gandronchik commented on code in PR #2177:
URL: https://github.com/apache/arrow-datafusion/pull/2177#discussion_r861673710
##########
datafusion/core/src/execution/context.rs:
##########
@@ -2115,6 +2141,195 @@ mod tests {
Ok(())
}
+ #[tokio::test]
+ async fn user_defined_table_function() -> Result<()> {
+ let mut ctx = SessionContext::new();
+
+ let integer_series = integer_udtf();
+ ctx.register_udtf(create_udtf(
+ "integer_series",
+ vec![DataType::Int64, DataType::Int64],
+ Arc::new(DataType::Int64),
+ Volatility::Immutable,
+ integer_series,
+ ));
+
+ let struct_func = struct_udtf();
+ ctx.register_udtf(create_udtf(
+ "struct_func",
+ vec![DataType::Int64],
+ Arc::new(DataType::Struct(
+ [
+ Field::new("f1", DataType::Utf8, false),
+ Field::new("f2", DataType::Int64, false),
+ ]
+ .to_vec(),
+ )),
+ Volatility::Immutable,
+ struct_func,
+ ));
+
+ let result = plan_and_collect(&ctx, "SELECT struct_func(5)").await?;
+
+ let expected = vec![
+ "+-------------------------+",
+ "| struct_func(Int64(5)) |",
+ "+-------------------------+",
+ "| {\"f1\": \"test\", \"f2\": 5} |",
+ "+-------------------------+",
+ ];
+
+ assert_batches_eq!(expected, &result);
+
+ let result = plan_and_collect(&ctx, "SELECT
integer_series(6,5)").await?;
+
+ let expected = vec![
+ "+-----------------------------------+",
+ "| integer_series(Int64(6),Int64(5)) |",
+ "+-----------------------------------+",
+ "+-----------------------------------+",
+ ];
+
+ assert_batches_eq!(expected, &result);
+
+ let result = plan_and_collect(&ctx, "SELECT
integer_series(1,5)").await?;
+
+ let expected = vec![
+ "+-----------------------------------+",
+ "| integer_series(Int64(1),Int64(5)) |",
+ "+-----------------------------------+",
+ "| 1 |",
+ "| 2 |",
+ "| 3 |",
+ "| 4 |",
+ "| 5 |",
+ "+-----------------------------------+",
+ ];
Review Comment:
I didn't support it. You can use structures for that
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