== Physical Plan ==
* ColumnarToRow (30)
+- CometHashAggregate (29)
   +- CometExchange (28)
      +- CometHashAggregate (27)
         +- CometProject (26)
            +- CometBroadcastHashJoin (25)
               :- CometProject (23)
               :  +- CometBroadcastHashJoin (22)
               :     :- CometProject (8)
               :     :  +- CometBroadcastHashJoin (7)
               :     :     :- CometFilter (2)
               :     :     :  +- CometNativeScan: `spark_catalog`.`default`.`catalog_sales` (1)
               :     :     +- CometBroadcastExchange (6)
               :     :        +- CometProject (5)
               :     :           +- CometFilter (4)
               :     :              +- CometNativeScan: `spark_catalog`.`default`.`item` (3)
               :     +- CometBroadcastExchange (21)
               :        +- CometFilter (20)
               :           +- CometHashAggregate (19)
               :              +- CometExchange (18)
               :                 +- CometHashAggregate (17)
               :                    +- CometProject (16)
               :                       +- CometBroadcastHashJoin (15)
               :                          :- CometFilter (10)
               :                          :  +- CometNativeScan: `spark_catalog`.`default`.`catalog_sales` (9)
               :                          +- CometBroadcastExchange (14)
               :                             +- CometProject (13)
               :                                +- CometFilter (12)
               :                                   +- CometNativeScan: `spark_catalog`.`default`.`date_dim` (11)
               +- ReusedExchange (24)


(1) CometNativeScan: `spark_catalog`.`default`.`catalog_sales`
Output [3]: [cs_item_sk#1, cs_ext_discount_amt#2, cs_sold_date_sk#3]
Arguments: [cs_item_sk#1, cs_ext_discount_amt#2, cs_sold_date_sk#3]

(2) CometFilter
Input [3]: [cs_item_sk#1, cs_ext_discount_amt#2, cs_sold_date_sk#3]
Condition : (isnotnull(cs_item_sk#1) AND isnotnull(cs_ext_discount_amt#2))

(3) CometNativeScan: `spark_catalog`.`default`.`item`
Output [2]: [i_item_sk#4, i_manufact_id#5]
Arguments: [i_item_sk#4, i_manufact_id#5]

(4) CometFilter
Input [2]: [i_item_sk#4, i_manufact_id#5]
Condition : ((isnotnull(i_manufact_id#5) AND (i_manufact_id#5 = 977)) AND isnotnull(i_item_sk#4))

(5) CometProject
Input [2]: [i_item_sk#4, i_manufact_id#5]
Arguments: [i_item_sk#4], [i_item_sk#4]

(6) CometBroadcastExchange
Input [1]: [i_item_sk#4]
Arguments: [i_item_sk#4]

(7) CometBroadcastHashJoin
Left output [3]: [cs_item_sk#1, cs_ext_discount_amt#2, cs_sold_date_sk#3]
Right output [1]: [i_item_sk#4]
Arguments: [cs_item_sk#1], [i_item_sk#4], Inner, BuildRight

(8) CometProject
Input [4]: [cs_item_sk#1, cs_ext_discount_amt#2, cs_sold_date_sk#3, i_item_sk#4]
Arguments: [cs_ext_discount_amt#2, cs_sold_date_sk#3, i_item_sk#4], [cs_ext_discount_amt#2, cs_sold_date_sk#3, i_item_sk#4]

(9) CometNativeScan: `spark_catalog`.`default`.`catalog_sales`
Output [3]: [cs_item_sk#6, cs_ext_discount_amt#7, cs_sold_date_sk#8]
Arguments: [cs_item_sk#6, cs_ext_discount_amt#7, cs_sold_date_sk#8]

(10) CometFilter
Input [3]: [cs_item_sk#6, cs_ext_discount_amt#7, cs_sold_date_sk#8]
Condition : isnotnull(cs_item_sk#6)

(11) CometNativeScan: `spark_catalog`.`default`.`date_dim`
Output [2]: [d_date_sk#9, d_date#10]
Arguments: [d_date_sk#9, d_date#10]

(12) CometFilter
Input [2]: [d_date_sk#9, d_date#10]
Condition : (((isnotnull(d_date#10) AND (d_date#10 >= 2000-01-27)) AND (d_date#10 <= 2000-04-26)) AND isnotnull(d_date_sk#9))

(13) CometProject
Input [2]: [d_date_sk#9, d_date#10]
Arguments: [d_date_sk#9], [d_date_sk#9]

(14) CometBroadcastExchange
Input [1]: [d_date_sk#9]
Arguments: [d_date_sk#9]

(15) CometBroadcastHashJoin
Left output [3]: [cs_item_sk#6, cs_ext_discount_amt#7, cs_sold_date_sk#8]
Right output [1]: [d_date_sk#9]
Arguments: [cs_sold_date_sk#8], [d_date_sk#9], Inner, BuildRight

(16) CometProject
Input [4]: [cs_item_sk#6, cs_ext_discount_amt#7, cs_sold_date_sk#8, d_date_sk#9]
Arguments: [cs_item_sk#6, cs_ext_discount_amt#7], [cs_item_sk#6, cs_ext_discount_amt#7]

(17) CometHashAggregate
Input [2]: [cs_item_sk#6, cs_ext_discount_amt#7]
Keys [1]: [cs_item_sk#6]
Functions [1]: [partial_avg(UnscaledValue(cs_ext_discount_amt#7))]

(18) CometExchange
Input [3]: [cs_item_sk#6, sum#11, count#12]
Arguments: hashpartitioning(cs_item_sk#6, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(19) CometHashAggregate
Input [3]: [cs_item_sk#6, sum#11, count#12]
Keys [1]: [cs_item_sk#6]
Functions [1]: [avg(UnscaledValue(cs_ext_discount_amt#7))]

(20) CometFilter
Input [2]: [(1.3 * avg(cs_ext_discount_amt))#13, cs_item_sk#6]
Condition : isnotnull((1.3 * avg(cs_ext_discount_amt))#13)

(21) CometBroadcastExchange
Input [2]: [(1.3 * avg(cs_ext_discount_amt))#13, cs_item_sk#6]
Arguments: [(1.3 * avg(cs_ext_discount_amt))#13, cs_item_sk#6]

(22) CometBroadcastHashJoin
Left output [3]: [cs_ext_discount_amt#2, cs_sold_date_sk#3, i_item_sk#4]
Right output [2]: [(1.3 * avg(cs_ext_discount_amt))#13, cs_item_sk#6]
Arguments: [i_item_sk#4], [cs_item_sk#6], Inner, (cast(cs_ext_discount_amt#2 as decimal(14,7)) > (1.3 * avg(cs_ext_discount_amt))#13), BuildRight

(23) CometProject
Input [5]: [cs_ext_discount_amt#2, cs_sold_date_sk#3, i_item_sk#4, (1.3 * avg(cs_ext_discount_amt))#13, cs_item_sk#6]
Arguments: [cs_ext_discount_amt#2, cs_sold_date_sk#3], [cs_ext_discount_amt#2, cs_sold_date_sk#3]

(24) ReusedExchange [Reuses operator id: 14]
Output [1]: [d_date_sk#14]

(25) CometBroadcastHashJoin
Left output [2]: [cs_ext_discount_amt#2, cs_sold_date_sk#3]
Right output [1]: [d_date_sk#14]
Arguments: [cs_sold_date_sk#3], [d_date_sk#14], Inner, BuildRight

(26) CometProject
Input [3]: [cs_ext_discount_amt#2, cs_sold_date_sk#3, d_date_sk#14]
Arguments: [cs_ext_discount_amt#2], [cs_ext_discount_amt#2]

(27) CometHashAggregate
Input [1]: [cs_ext_discount_amt#2]
Keys: []
Functions [1]: [partial_sum(UnscaledValue(cs_ext_discount_amt#2))]

(28) CometExchange
Input [1]: [sum#15]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2]

(29) CometHashAggregate
Input [1]: [sum#15]
Keys: []
Functions [1]: [sum(UnscaledValue(cs_ext_discount_amt#2))]

(30) ColumnarToRow [codegen id : 1]
Input [1]: [excess discount amount#16]

