asl3 commented on code in PR #41606:
URL: https://github.com/apache/spark/pull/41606#discussion_r1283239276
##########
python/pyspark/testing/utils.py:
##########
@@ -209,3 +219,200 @@ def check_error(
self.assertEqual(
expected, actual, f"Expected message parameters was '{expected}',
got '{actual}'"
)
+
+
+def assertDataFrameEqual(df: DataFrame, expected: DataFrame, check_row_order:
bool = False):
+ """
+ A util function to assert equality between DataFrames `df` and `expected`,
with
+ optional parameter `check_row_order`.
+
+ .. versionadded:: 3.5.0
+
+ For float values, assert approximate equality (1e-5 by default).
+
+ Parameters
+ ----------
+ df : DataFrame
+ The DataFrame that is being compared or tested.
+
+ expected : DataFrame
+ The expected result of the operation, for comparison with the actual
result.
+
+ check_row_order : bool, optional
+ A flag indicates whether the order of rows should be considered in the
comparison.
+ If set to `False` (default), the row order is not taken into account.
+ If set to `True`, the order of rows is important and will be checked
during comparison.
+
+ Examples
+ --------
+ >>> from pyspark.sql import SparkSession
+ >>> spark = SparkSession.builder.appName("assertDataFrameEqual example")\
+ .config("spark.some.config.option", "some-value").getOrCreate()
+ >>> df1 = spark.createDataFrame(data=[("1", 1000), ("2", 3000)],
schema=["id", "amount"])
+ >>> df2 = spark.createDataFrame(data=[("1", 1000), ("2", 3000)],
schema=["id", "amount"])
+ >>> assertDataFrameEqual(df1, df2) # pass
+ >>> df1 = spark.createDataFrame(data=[("1", 1000.00), ("2", 3000.00),
("3", 2000.00)], \
+ schema=["id", "amount"])
+ >>> df2 = spark.createDataFrame(data=[("1", 1001.00), ("2", 3000.00),
("3", 2003.00)], \
+ schema=["id", "amount"])
+ >>> assertDataFrameEqual(df1, df2) # fail # doctest:
+IGNORE_EXCEPTION_DETAIL
+ Traceback (most recent call last):
+ ...
+ PySparkAssertionError: [DIFFERENT_ROWS] Results do not match: ( 0.66667 % )
+ [df]
+ Row(id='1', amount=1000.0)
+ <BLANKLINE>
+ [expected]
+ Row(id='1', amount=1001.0)
+ <BLANKLINE>
+ ********************
+ <BLANKLINE>
+ [df]
+ Row(id='3', amount=2000.0)
+ <BLANKLINE>
+ [expected]
+ Row(id='3', amount=2003.0)
+ <BLANKLINE>
+ ********************
+ <BLANKLINE>
+ <BLANKLINE>
+ """
+ if df is None and expected is None:
+ return True
+ elif df is None or expected is None:
+ return False
Review Comment:
#42314
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