[SPARK-16175] [PYSPARK] handle None for UDT

## What changes were proposed in this pull request?

Scala UDT will bypass all the null and will not pass them into serialize() and deserialize() of UDT, this PR update the Python UDT to do this as well.

## How was this patch tested?

Added tests.

Author: Davies Liu <davies@databricks.com>

Closes #13878 from davies/udt_null.

1 files changed, 11 insertions, 0 deletions

diff --git a/python/pyspark/sql/tests.py b/python/pyspark/sql/tests.py
index f863485e6c..a8ca386e1c 100644
--- a/python/pyspark/sql/tests.py
+++ b/python/pyspark/sql/tests.py
@@ -575,6 +575,17 @@ class SQLTests(ReusedPySparkTestCase):
         _verify_type(PythonOnlyPoint(1.0, 2.0), PythonOnlyUDT())
         self.assertRaises(ValueError, lambda: _verify_type([1.0, 2.0], PythonOnlyUDT()))
 
+    def test_udt_with_none(self):
+        df = self.spark.range(0, 10, 1, 1)
+
+        def myudf(x):
+            if x > 0:
+                return PythonOnlyPoint(float(x), float(x))
+
+        self.spark.catalog.registerFunction("udf", myudf, PythonOnlyUDT())
+        rows = [r[0] for r in df.selectExpr("udf(id)").take(2)]
+        self.assertEqual(rows, [None, PythonOnlyPoint(1, 1)])
+
     def test_infer_schema_with_udt(self):
         from pyspark.sql.tests import ExamplePoint, ExamplePointUDT
         row = Row(label=1.0, point=ExamplePoint(1.0, 2.0))