ueshin commented on code in PR #42490:
URL: https://github.com/apache/spark/pull/42490#discussion_r1293963530


##########
python/pyspark/sql/tests/test_udtf.py:
##########
@@ -1874,15 +1874,85 @@ def eval(self, **kwargs):
 
         for i, df in enumerate(
             [
-                self.spark.sql("SELECT * FROM test_udtf(a=>10, b=>'x')"),
-                self.spark.sql("SELECT * FROM test_udtf(b=>'x', a=>10)"),
+                self.spark.sql("SELECT * FROM test_udtf(a => 10, b => 'x')"),
+                self.spark.sql("SELECT * FROM test_udtf(b => 'x', a => 10)"),
                 TestUDTF(a=lit(10), b=lit("x")),
                 TestUDTF(b=lit("x"), a=lit(10)),
             ]
         ):
             with self.subTest(query_no=i):
                 assertDataFrameEqual(df, [Row(a=10, b="x")])
 
+    def test_udtf_with_named_arguments_lateral_join(self):
+        @udtf
+        class TestUDTF:
+            @staticmethod
+            def analyze(a, b):
+                return AnalyzeResult(StructType().add("a", a.data_type))
+
+            def eval(self, a, b):
+                yield a,
+
+        self.spark.udtf.register("test_udtf", TestUDTF)
+
+        # lateral join
+        for i, df in enumerate(
+            [
+                self.spark.sql(
+                    "SELECT f.* FROM "
+                    "VALUES (0, 'x'), (1, 'y') t(a, b), LATERAL test_udtf(a => 
a, b => b) f"
+                ),
+                self.spark.sql(
+                    "SELECT f.* FROM "
+                    "VALUES (0, 'x'), (1, 'y') t(a, b), LATERAL test_udtf(b => 
b, a => a) f"
+                ),
+            ]
+        ):
+            with self.subTest(query_no=i):
+                assertDataFrameEqual(df, [Row(a=0), Row(a=1)])
+
+    def test_udtf_with_named_arguments_and_defaults(self):
+        @udtf
+        class TestUDTF:
+            @staticmethod
+            def analyze(a, b=None):

Review Comment:
   Yes, if `b` here doesn't have a default value, it will raise an exception.
   
   Both `eval` and `analyze` will be called with the same argument list.
   So if `eval` takes `a`, `analyze` should also take `a`, if `eval` takes `a, 
b`, `analyze` should also take `a, b`, and so on.
   
   It can be `AnalyzeArgument` with the correct parameters, or take `**kwargs`.
   
   ```py
   def analyze(a, b=AnalyzeArgument(StringType(), None, False)):
   ```
   
   ```py
   def analyze(a, **kwargs):
   ```
   
   but taking `AnalyzeArgument` as default is not recommended if the 
`data_type` is a struct type, which could cause unexpected behavior similar to 
taking `[]` or `{}` as default.



-- 
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.

To unsubscribe, e-mail: [email protected]

For queries about this service, please contact Infrastructure at:
[email protected]


---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to