srowen commented on a change in pull request #32555:
URL: https://github.com/apache/spark/pull/32555#discussion_r633096079
##########
File path: python/pyspark/sql/dataframe.py
##########
@@ -482,10 +482,22 @@ def show(self, n=20, truncate=True, vertical=False):
age | 5
name | Bob
"""
+
+ if not isinstance(n, int) or isinstance(n, bool):
Review comment:
Is this trying to catch the case where a user calls `.show(False)` for
example, meaning `.show(truncate=False)`? I get it. While I think we could
equally check so many other methods like this, maybe this is worth checking
more thoroughly here.
##########
File path: python/pyspark/sql/dataframe.py
##########
@@ -482,10 +482,23 @@ def show(self, n=20, truncate=True, vertical=False):
age | 5
name | Bob
"""
+
+ if not isinstance(n, int) or isinstance(n, bool):
+ raise TypeError("Parameter 'n' (number of rows) must be an int")
+
+ if not isinstance(vertical, bool):
+ raise TypeError("Parameter 'vertical' must be a bool")
+
if isinstance(truncate, bool) and truncate:
print(self._jdf.showString(n, 20, vertical))
else:
- print(self._jdf.showString(n, int(truncate), vertical))
+ try:
+ int_truncate = int(truncate)
+ except ValueError:
+ raise ValueError(f"Non-bool parameter 'truncate={truncate}'"
Review comment:
When would this happen, given the check above? Wouldn't this be the
"Non-int parameter" case anyway?
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