Check PySpark test failures

.github/workflows/master.yml

@@ -28,7 +28,7 @@ jobs:
         # Note that the modules below are from sparktestsupport/modules.py.
         modules:
           - |-
-            unsafe
+            unsafe, pyspark-sql
         # Here, we split Hive and SQL tests into some of slow ones and the rest of them.
         included-tags: [""]
         excluded-tags: [""]
@@ -103,14 +103,15 @@ jobs:
       # PyArrow is not supported in PyPy yet, see ARROW-2651.
       # TODO(SPARK-32247): scipy installation with PyPy fails for an unknown reason.
       run: |
-        python3.6 -m pip install numpy pyarrow pandas scipy
+        python3.6 -m pip install numpy pyarrow pandas scipy xmlrunner
         python3.6 -m pip list
+        # PyPy does not have xmlrunner
         pypy3 -m pip install numpy pandas
         pypy3 -m pip list
     - name: Install Python packages (Python 3.8)
       if: contains(matrix.modules, 'pyspark') || (contains(matrix.modules, 'sql') && !contains(matrix.modules, 'sql-'))
       run: |
-        python3.8 -m pip install numpy pyarrow pandas scipy
+        python3.8 -m pip install numpy pyarrow pandas scipy xmlrunner
         python3.8 -m pip list
     # SparkR
     - name: Install R 4.0

python/pyspark/sql/tests/test_arrow.py

@@ -201,7 +201,7 @@ def test_no_partition_frame(self):
         pdf = df.toPandas()
         self.assertEqual(len(pdf.columns), 1)
         self.assertEqual(pdf.columns[0], "field1")
-        self.assertTrue(pdf.empty)
+        self.assertTrue(False)
 
     def test_propagates_spark_exception(self):
         df = self.spark.range(3).toDF("i")