allisonwang-db commented on code in PR #43450:
URL: https://github.com/apache/spark/pull/43450#discussion_r1373960309
##########
python/pyspark/testing/utils.py:
##########
@@ -328,6 +376,26 @@ def assertSchemaEqual(actual: StructType, expected:
StructType):
? ^^ ^^^^^
+ StructType([StructField('id', StringType(), True), StructField('amount',
LongType(), True)])
? ^^^^ ++++ ^
+
+ Different schemas (ignoring column order)
+
+ >>> s1 = StructType(
+ ... [StructField("a", IntegerType(), True), StructField("b",
DoubleType(), True)]
+ ... )
+ >>> s2 = StructType(
+ ... [StructField("b", DoubleType(), True), StructField("a",
IntegerType(), True)]
+ ... )
+ >>> assertSchemaEqual(s1, s2, ignoreColumnOrder=True)
+
+ Different schemas (ignoring column names)
Review Comment:
```suggestion
Compare two schemas ignoring the column names
```
##########
python/pyspark/testing/utils.py:
##########
@@ -311,11 +342,28 @@ def assertSchemaEqual(actual: StructType, expected:
StructType):
Examples
--------
+ >>> from pyspark.pandas.utils import default_session
+ >>> spark = default_session()
Review Comment:
Why do we need this?
##########
python/pyspark/testing/utils.py:
##########
@@ -328,6 +376,26 @@ def assertSchemaEqual(actual: StructType, expected:
StructType):
? ^^ ^^^^^
+ StructType([StructField('id', StringType(), True), StructField('amount',
LongType(), True)])
? ^^^^ ++++ ^
+
+ Different schemas (ignoring column order)
Review Comment:
```suggestion
Compare two schemas ignoring the column order
```
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