Github user ueshin commented on a diff in the pull request:
https://github.com/apache/spark/pull/18164#discussion_r119800727
--- Diff: python/pyspark/sql/tests.py ---
@@ -1697,40 +1697,56 @@ def test_fillna(self):
schema = StructType([
StructField("name", StringType(), True),
StructField("age", IntegerType(), True),
- StructField("height", DoubleType(), True)])
+ StructField("height", DoubleType(), True),
+ StructField("spy", BooleanType(), True)])
# fillna shouldn't change non-null values
- row = self.spark.createDataFrame([(u'Alice', 10, 80.1)],
schema).fillna(50).first()
+ row = self.spark.createDataFrame([(u'Alice', 10, 80.1, True)],
schema).fillna(50).first()
self.assertEqual(row.age, 10)
# fillna with int
- row = self.spark.createDataFrame([(u'Alice', None, None)],
schema).fillna(50).first()
+ row = self.spark.createDataFrame([(u'Alice', None, None, None)],
schema).fillna(50).first()
self.assertEqual(row.age, 50)
self.assertEqual(row.height, 50.0)
# fillna with double
- row = self.spark.createDataFrame([(u'Alice', None, None)],
schema).fillna(50.1).first()
+ row = self.spark.createDataFrame([(u'Alice', None, None, None)],
schema).fillna(50.1).first()
self.assertEqual(row.age, 50)
self.assertEqual(row.height, 50.1)
+ # fillna with bool
+ row = self.spark.createDataFrame([(u'Alice', None, None, None)],
schema).fillna(True).first()
+ self.assertEqual(row.age, None)
+ self.assertEqual(row.spy, True)
+
# fillna with string
- row = self.spark.createDataFrame([(None, None, None)],
schema).fillna("hello").first()
+ row = self.spark.createDataFrame([(None, None, None, None)],
schema).fillna("hello").first()
self.assertEqual(row.name, u"hello")
self.assertEqual(row.age, None)
# fillna with subset specified for numeric cols
row = self.spark.createDataFrame(
- [(None, None, None)], schema).fillna(50, subset=['name',
'age']).first()
+ [(None, None, None, None)], schema).fillna(50, subset=['name',
'age']).first()
self.assertEqual(row.name, None)
self.assertEqual(row.age, 50)
self.assertEqual(row.height, None)
+ self.assertEqual(row.spy, None)
- # fillna with subset specified for numeric cols
+ # fillna with subset specified for string cols
row = self.spark.createDataFrame(
- [(None, None, None)], schema).fillna("haha", subset=['name',
'age']).first()
+ [(None, None, None, None)], schema).fillna("haha",
subset=['name', 'age']).first()
self.assertEqual(row.name, "haha")
self.assertEqual(row.age, None)
self.assertEqual(row.height, None)
+ self.assertEqual(row.spy, None)
+
+ # fillna with subset specified for bool cols
+ row = self.spark.createDataFrame(
+ [(None, None, None, None)], schema).fillna(True,
subset=['name', 'age']).first()
+ self.assertEqual(row.name, None)
+ self.assertEqual(row.age, None)
+ self.assertEqual(row.height, None)
+ self.assertEqual(row.spy, True)
--- End diff --
@rberenguel I'm sorry but I didn't understand what you are getting at.
I guess if the subset is `['name', 'spy']` as you updated, `row.spy` will
become `True` because the `row.spy` is `BooleanType` and the value is boolean.
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