andygrove commented on code in PR #348:
URL: https://github.com/apache/datafusion-comet/pull/348#discussion_r1589075154


##########
spark/src/test/resources/tpcds-query-results/v1_4/q39a.sql.out:
##########
@@ -31,7 +31,7 @@ 
struct<w_warehouse_sk:int,i_item_sk:int,d_moy:int,mean:double,cov:double,w_wareh
 1      12259   1       326.5   1.219693210219279       1       12259   2       
292.6666666666667       1.2808898286830026
 1      12641   1       321.25  1.1286221893301993      1       12641   2       
279.25  1.129134558577743
 1      13043   1       260.5   1.355894484625015       1       13043   2       
295.0   1.056210118409035
-1      13157   1       260.5   1.5242630430075292      1       13157   2       
413.5   1.0422561797285326
+1      13157   1       260.5   1.524263043007529       1       13157   2       
413.5   1.0422561797285326

Review Comment:
   Ideally, it would be good to compare floating point numbers based on an 
epsilon to make sure they are within some tolerance threshold. I assume we are 
currently just comparing text file output directly? Do we have a way to 
generate the output into a structured file type such as CSV or JSON?



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