itholic commented on code in PR #40316:
URL: https://github.com/apache/spark/pull/40316#discussion_r1128906598
##########
python/pyspark/sql/tests/connect/test_connect_basic.py:
##########
@@ -2876,6 +2876,13 @@ def test_unsupported_io_functions(self):
with self.assertRaises(NotImplementedError):
getattr(df.write, f)()
+ def test_inferred_schema(self):
Review Comment:
Can we enrich the test by also including the test for schema_true and pandas
DataFrame??
such as:
```
schema_true = StructType([StructField("id", IntegerType(), True)])
cdf2 = self.connect.createDataFrame([[1]], schema=schema_true)
sdf2 = self.spark.createDataFrame([[1]], schema=schema_true)
self.assertEqual(cdf2.schema, sdf2.schema)
self.assertEqual(cdf2.collect(), sdf2.collect())
pdf1 = cdf1.toPandas()
cdf3 = self.connect.createDataFrame(pdf1, cdf1.schema)
sdf3 = self.spark.createDataFrame(pdf1, cdf1.schema)
self.assertEqual(cdf3.schema, sdf3.schema)
self.assertEqual(cdf3.collect(), sdf3.collect())
pdf2 = cdf2.toPandas()
cdf4 = self.connect.createDataFrame(pdf2, cdf2.schema)
sdf4 = self.spark.createDataFrame(pdf2, cdf2.schema)
self.assertEqual(cdf4.schema, sdf4.schema)
self.assertEqual(cdf4.collect(), sdf4.collect())
```
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