liujiayi771 commented on code in PR #43711:
URL: https://github.com/apache/spark/pull/43711#discussion_r1398705219


##########
sql/core/src/test/resources/sql-tests/results/group-by.sql.out:
##########
@@ -338,7 +338,7 @@ SELECT corr(DISTINCT x, y), corr(DISTINCT y, x), count(*)
 -- !query schema
 struct<corr(DISTINCT x, y):double,corr(DISTINCT y, x):double,count(1):bigint>
 -- !query output
-1.0    1.0     3
+0.9999999999999999     0.9999999999999999      3

Review Comment:
   @beliefer Different mainstream databases have both of these calculation 
formulas. But I now believe that there is no need to modify Spark's code for 
this extreme case because Spark's formula can easily solve for finite decimals.
   Thanks, I will close this PR.



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