andygrove commented on code in PR #613:
URL: https://github.com/apache/datafusion-comet/pull/613#discussion_r1672490835


##########
spark/src/test/scala/org/apache/spark/sql/CometTPCDSQuerySuite.scala:
##########
@@ -112,7 +108,9 @@ class CometTPCDSQuerySuite
         "q69",
         "q70",
         "q71",
-        "q72",
+        // TODO: unknown failure (seems memory usage over Github action 
runner) in CI with q72 in
+        // https://github.com/apache/datafusion-comet/pull/613.
+        // "q72",

Review Comment:
   This is the version I have been using locally. Since we are not aiming to 
run the official TPC-DS benchmarks, but just our derived benchmarks, and also 
given that we are comparing Spark to Comet for the same queries, I think this 
would be fine to use by default as long it is well documented in our 
benchmarking guide.
   
   I do think we should still test with the original q72 as a separate exercise 
though, because if Spark can run it then Comet should be able to as well (with 
the same memory configuration).
   
   ```sql
   select  i_item_desc
         ,w_warehouse_name
         ,d1.d_week_seq
         ,sum(case when p_promo_sk is null then 1 else 0 end) no_promo
         ,sum(case when p_promo_sk is not null then 1 else 0 end) promo
         ,count(*) total_cnt
   from catalog_sales
   join date_dim d1 on (cs_sold_date_sk = d1.d_date_sk)
   join customer_demographics on (cs_bill_cdemo_sk = cd_demo_sk)
   join household_demographics on (cs_bill_hdemo_sk = hd_demo_sk)
   join item on (i_item_sk = cs_item_sk)
   join inventory on (cs_item_sk = inv_item_sk)
   join warehouse on (w_warehouse_sk=inv_warehouse_sk)
   join date_dim d2 on (inv_date_sk = d2.d_date_sk)
   join date_dim d3 on (cs_ship_date_sk = d3.d_date_sk)
   left outer join promotion on (cs_promo_sk=p_promo_sk)
   left outer join catalog_returns on (cr_item_sk = cs_item_sk and 
cr_order_number = cs_order_number)
   where d1.d_week_seq = d2.d_week_seq
     and inv_quantity_on_hand < cs_quantity 
     and d3.d_date > d1.d_date + 5
     and hd_buy_potential = '501-1000'
     and d1.d_year = 1999
     and cd_marital_status = 'S'
   group by i_item_desc,w_warehouse_name,d1.d_week_seq
   order by total_cnt desc, i_item_desc, w_warehouse_name, d_week_seq
    LIMIT 100;
   ```



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