andygrove commented on code in PR #16946:
URL: https://github.com/apache/datafusion/pull/16946#discussion_r2291754511


##########
datafusion/sqllogictest/test_files/spark/conditional/if.slt:
##########
@@ -21,7 +21,135 @@
 # For more information, please see:
 #   https://github.com/apache/datafusion/issues/15914
 
-## Original Query: SELECT if(1 < 2, 'a', 'b');
-## PySpark 3.5.5 Result: {'(IF((1 < 2), a, b))': 'a', 'typeof((IF((1 < 2), a, 
b)))': 'string', 'typeof((1 < 2))': 'boolean', 'typeof(a)': 'string', 
'typeof(b)': 'string'}
-#query
-#SELECT if((1 < 2)::boolean, 'a'::string, 'b'::string);
+## Basic IF function tests
+
+# Test basic true condition
+query T
+SELECT if(true, 'yes', 'no');

Review Comment:
   I'm sorry, I wasn't clear on my comment above. It could be that the 2nd or 
3rd argument expressions could fail if evaluated on certain rows, and we would 
expect `if` to provide conditional evaluation. For example:
   
   ```select if(a==0, 0, b/a) from tbl```
   
   if `a==0` then we want to avoid evaluating `b/a` because it would cause a 
divide by zero error.
   
   



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