itholic commented on code in PR #41606:
URL: https://github.com/apache/spark/pull/41606#discussion_r1251396004
##########
python/pyspark/testing/utils.py:
##########
@@ -209,3 +234,70 @@ def check_error(
self.assertEqual(
expected, actual, f"Expected message parameters was '{expected}',
got '{actual}'"
)
+
+
+def assertSchemaEqual(
+ s1: Optional[Union[AtomicType, StructType, str, List[str], Tuple[str,
...]]],
+ s2: Optional[Union[AtomicType, StructType, str, List[str], Tuple[str,
...]]],
+):
+ if s1 != s2:
+ msg = "Schemas are different"
+ raise AssertionError(msg)
+
+
+def assertDataFrameEqual(
+ df: DataFrame, expected: Union[DataFrame, List[Row]], ignore_row_order:
bool = True
+):
+ if df is None and expected is None:
+ return True
+ elif df is None or expected is None:
+ return False
+
+ def compare(r1: Row, r2: Row):
+ if r1 is None and r2 is None:
+ return True
+ elif r1 is None or r2 is None:
+ return False
+
+ d1 = r1.asDict()
+ d2 = r2.asDict()
+
+ for key in d1.keys() & d2.keys():
+ if isinstance(d1[key], float) and isinstance(d2[key], float):
+ if abs(d1[key] - d2[key]) > 1e-5:
+ return False
+ else:
+ if d1[key] != d2[key]:
+ return False
+ return True
+
+ def assert_rows_equal(rows1: Row, rows2: Row):
+ zipped = list(zip_longest(rows1, rows2))
+ rows_equal = True
+ error_table = PrettyTable(["df", "expected"])
+
+ for r1, r2 in zipped:
+ if compare(r1, r2):
+ error_table.add_row([blue(r1), blue(r2)])
+ else:
+ rows_equal = False
+ error_table.add_row([red(r1), red(r2)])
Review Comment:
I think maybe we can just raise `PySparkAssertionError` here, and also show
the each rows ??
e.g.
```suggestion
for r1, r2 in zipped:
if compare(r1, r2):
error_table.add_row([blue(r1), blue(r2)])
else:
raise PySparkAssertionError(
error_class="ROWS_NOT_EQUAL",
message_parameters={"row1": r1, "row2": r2},
)
```
The error class may can be like:
```json
"ROWS_NOT_EQUAL" : {
"message" : [
"Row <row1> and <row2> are not equal."
]
}
```
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