== Physical Plan ==
* CometColumnarToRow (67)
+- CometHashAggregate (66)
   +- CometExchange (65)
      +- CometHashAggregate (64)
         +- CometUnion (63)
            :- CometProject (46)
            :  +- CometBroadcastHashJoin (45)
            :     :- CometProject (40)
            :     :  +- CometSortMergeJoin (39)
            :     :     :- CometSort (24)
            :     :     :  +- CometExchange (23)
            :     :     :     +- CometProject (22)
            :     :     :        +- CometBroadcastHashJoin (21)
            :     :     :           :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales (1)
            :     :     :           +- CometBroadcastExchange (20)
            :     :     :              +- CometProject (19)
            :     :     :                 +- CometFilter (18)
            :     :     :                    +- CometHashAggregate (17)
            :     :     :                       +- CometExchange (16)
            :     :     :                          +- CometHashAggregate (15)
            :     :     :                             +- CometProject (14)
            :     :     :                                +- CometBroadcastHashJoin (13)
            :     :     :                                   :- CometProject (9)
            :     :     :                                   :  +- CometBroadcastHashJoin (8)
            :     :     :                                   :     :- CometFilter (3)
            :     :     :                                   :     :  +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (2)
            :     :     :                                   :     +- CometBroadcastExchange (7)
            :     :     :                                   :        +- CometProject (6)
            :     :     :                                   :           +- CometFilter (5)
            :     :     :                                   :              +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (4)
            :     :     :                                   +- CometBroadcastExchange (12)
            :     :     :                                      +- CometFilter (11)
            :     :     :                                         +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (10)
            :     :     +- CometSort (38)
            :     :        +- CometProject (37)
            :     :           +- CometFilter (36)
            :     :              +- CometHashAggregate (35)
            :     :                 +- CometExchange (34)
            :     :                    +- CometHashAggregate (33)
            :     :                       +- CometProject (32)
            :     :                          +- CometBroadcastHashJoin (31)
            :     :                             :- CometProject (27)
            :     :                             :  +- CometFilter (26)
            :     :                             :     +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (25)
            :     :                             +- CometBroadcastExchange (30)
            :     :                                +- CometFilter (29)
            :     :                                   +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (28)
            :     +- CometBroadcastExchange (44)
            :        +- CometProject (43)
            :           +- CometFilter (42)
            :              +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (41)
            +- CometProject (62)
               +- CometBroadcastHashJoin (61)
                  :- CometProject (59)
                  :  +- CometSortMergeJoin (58)
                  :     :- CometSort (52)
                  :     :  +- CometExchange (51)
                  :     :     +- CometProject (50)
                  :     :        +- CometBroadcastHashJoin (49)
                  :     :           :- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (47)
                  :     :           +- ReusedExchange (48)
                  :     +- CometSort (57)
                  :        +- CometProject (56)
                  :           +- CometFilter (55)
                  :              +- CometHashAggregate (54)
                  :                 +- ReusedExchange (53)
                  +- ReusedExchange (60)


(1) CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales
Output [5]: [cs_bill_customer_sk#1, cs_item_sk#2, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#5), dynamicpruningexpression(cs_sold_date_sk#5 IN dynamicpruning#6)]
ReadSchema: struct<cs_bill_customer_sk:int,cs_item_sk:int,cs_quantity:int,cs_list_price:decimal(7,2)>

(2) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales
Output [2]: [ss_item_sk#7, ss_sold_date_sk#8]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#8), dynamicpruningexpression(ss_sold_date_sk#8 IN dynamicpruning#9)]
PushedFilters: [IsNotNull(ss_item_sk)]
ReadSchema: struct<ss_item_sk:int>

(3) CometFilter
Input [2]: [ss_item_sk#7, ss_sold_date_sk#8]
Condition : isnotnull(ss_item_sk#7)

(4) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#10, d_date#11, d_year#12]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [In(d_year, [2000,2001,2002,2003]), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date,d_year:int>

(5) CometFilter
Input [3]: [d_date_sk#10, d_date#11, d_year#12]
Condition : (d_year#12 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#10))

(6) CometProject
Input [3]: [d_date_sk#10, d_date#11, d_year#12]
Arguments: [d_date_sk#10, d_date#11], [d_date_sk#10, d_date#11]

(7) CometBroadcastExchange
Input [2]: [d_date_sk#10, d_date#11]
Arguments: [d_date_sk#10, d_date#11]

(8) CometBroadcastHashJoin
Left output [2]: [ss_item_sk#7, ss_sold_date_sk#8]
Right output [2]: [d_date_sk#10, d_date#11]
Arguments: [ss_sold_date_sk#8], [d_date_sk#10], Inner, BuildRight

(9) CometProject
Input [4]: [ss_item_sk#7, ss_sold_date_sk#8, d_date_sk#10, d_date#11]
Arguments: [ss_item_sk#7, d_date#11], [ss_item_sk#7, d_date#11]

(10) CometScan [native_iceberg_compat] parquet spark_catalog.default.item
Output [2]: [i_item_sk#13, i_item_desc#14]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_item_desc:string>

(11) CometFilter
Input [2]: [i_item_sk#13, i_item_desc#14]
Condition : isnotnull(i_item_sk#13)

(12) CometBroadcastExchange
Input [2]: [i_item_sk#13, i_item_desc#14]
Arguments: [i_item_sk#13, i_item_desc#14]

(13) CometBroadcastHashJoin
Left output [2]: [ss_item_sk#7, d_date#11]
Right output [2]: [i_item_sk#13, i_item_desc#14]
Arguments: [ss_item_sk#7], [i_item_sk#13], Inner, BuildRight

(14) CometProject
Input [4]: [ss_item_sk#7, d_date#11, i_item_sk#13, i_item_desc#14]
Arguments: [d_date#11, i_item_sk#13, _groupingexpression#15], [d_date#11, i_item_sk#13, substr(i_item_desc#14, 1, 30) AS _groupingexpression#15]

(15) CometHashAggregate
Input [3]: [d_date#11, i_item_sk#13, _groupingexpression#15]
Keys [3]: [_groupingexpression#15, i_item_sk#13, d_date#11]
Functions [1]: [partial_count(1)]

(16) CometExchange
Input [4]: [_groupingexpression#15, i_item_sk#13, d_date#11, count#16]
Arguments: hashpartitioning(_groupingexpression#15, i_item_sk#13, d_date#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(17) CometHashAggregate
Input [4]: [_groupingexpression#15, i_item_sk#13, d_date#11, count#16]
Keys [3]: [_groupingexpression#15, i_item_sk#13, d_date#11]
Functions [1]: [count(1)]

(18) CometFilter
Input [2]: [item_sk#17, cnt#18]
Condition : (cnt#18 > 4)

(19) CometProject
Input [2]: [item_sk#17, cnt#18]
Arguments: [item_sk#17], [item_sk#17]

(20) CometBroadcastExchange
Input [1]: [item_sk#17]
Arguments: [item_sk#17]

(21) CometBroadcastHashJoin
Left output [5]: [cs_bill_customer_sk#1, cs_item_sk#2, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5]
Right output [1]: [item_sk#17]
Arguments: [cs_item_sk#2], [item_sk#17], LeftSemi, BuildRight

(22) CometProject
Input [5]: [cs_bill_customer_sk#1, cs_item_sk#2, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5]
Arguments: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5], [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5]

(23) CometExchange
Input [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5]
Arguments: hashpartitioning(cs_bill_customer_sk#1, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2]

(24) CometSort
Input [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5]
Arguments: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5], [cs_bill_customer_sk#1 ASC NULLS FIRST]

(25) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales
Output [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store_sales]
PushedFilters: [IsNotNull(ss_customer_sk)]
ReadSchema: struct<ss_customer_sk:int,ss_quantity:int,ss_sales_price:decimal(7,2)>

(26) CometFilter
Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22]
Condition : isnotnull(ss_customer_sk#19)

(27) CometProject
Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22]
Arguments: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21], [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21]

(28) CometScan [native_iceberg_compat] parquet spark_catalog.default.customer
Output [1]: [c_customer_sk#23]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer]
PushedFilters: [IsNotNull(c_customer_sk)]
ReadSchema: struct<c_customer_sk:int>

(29) CometFilter
Input [1]: [c_customer_sk#23]
Condition : isnotnull(c_customer_sk#23)

(30) CometBroadcastExchange
Input [1]: [c_customer_sk#23]
Arguments: [c_customer_sk#23]

(31) CometBroadcastHashJoin
Left output [3]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21]
Right output [1]: [c_customer_sk#23]
Arguments: [ss_customer_sk#19], [c_customer_sk#23], Inner, BuildRight

(32) CometProject
Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, c_customer_sk#23]
Arguments: [ss_quantity#20, ss_sales_price#21, c_customer_sk#23], [ss_quantity#20, ss_sales_price#21, c_customer_sk#23]

(33) CometHashAggregate
Input [3]: [ss_quantity#20, ss_sales_price#21, c_customer_sk#23]
Keys [1]: [c_customer_sk#23]
Functions [1]: [partial_sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))]

(34) CometExchange
Input [3]: [c_customer_sk#23, sum#24, isEmpty#25]
Arguments: hashpartitioning(c_customer_sk#23, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3]

(35) CometHashAggregate
Input [3]: [c_customer_sk#23, sum#24, isEmpty#25]
Keys [1]: [c_customer_sk#23]
Functions [1]: [sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))]

(36) CometFilter
Input [2]: [c_customer_sk#23, ssales#26]
Condition : (isnotnull(ssales#26) AND (cast(ssales#26 as decimal(38,8)) > (0.500000 * Subquery scalar-subquery#27, [id=#28])))

(37) CometProject
Input [2]: [c_customer_sk#23, ssales#26]
Arguments: [c_customer_sk#23], [c_customer_sk#23]

(38) CometSort
Input [1]: [c_customer_sk#23]
Arguments: [c_customer_sk#23], [c_customer_sk#23 ASC NULLS FIRST]

(39) CometSortMergeJoin
Left output [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5]
Right output [1]: [c_customer_sk#23]
Arguments: [cs_bill_customer_sk#1], [c_customer_sk#23], LeftSemi

(40) CometProject
Input [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5]
Arguments: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5], [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5]

(41) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#29, d_year#30, d_moy#31]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,2), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(42) CometFilter
Input [3]: [d_date_sk#29, d_year#30, d_moy#31]
Condition : ((((isnotnull(d_year#30) AND isnotnull(d_moy#31)) AND (d_year#30 = 2000)) AND (d_moy#31 = 2)) AND isnotnull(d_date_sk#29))

(43) CometProject
Input [3]: [d_date_sk#29, d_year#30, d_moy#31]
Arguments: [d_date_sk#29], [d_date_sk#29]

(44) CometBroadcastExchange
Input [1]: [d_date_sk#29]
Arguments: [d_date_sk#29]

(45) CometBroadcastHashJoin
Left output [3]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5]
Right output [1]: [d_date_sk#29]
Arguments: [cs_sold_date_sk#5], [d_date_sk#29], Inner, BuildRight

(46) CometProject
Input [4]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, d_date_sk#29]
Arguments: [sales#32], [(cast(cs_quantity#3 as decimal(10,0)) * cs_list_price#4) AS sales#32]

(47) CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales
Output [5]: [ws_item_sk#33, ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#37), dynamicpruningexpression(ws_sold_date_sk#37 IN dynamicpruning#38)]
ReadSchema: struct<ws_item_sk:int,ws_bill_customer_sk:int,ws_quantity:int,ws_list_price:decimal(7,2)>

(48) ReusedExchange [Reuses operator id: 20]
Output [1]: [item_sk#39]

(49) CometBroadcastHashJoin
Left output [5]: [ws_item_sk#33, ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37]
Right output [1]: [item_sk#39]
Arguments: [ws_item_sk#33], [item_sk#39], LeftSemi, BuildRight

(50) CometProject
Input [5]: [ws_item_sk#33, ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37]
Arguments: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37], [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37]

(51) CometExchange
Input [4]: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37]
Arguments: hashpartitioning(ws_bill_customer_sk#34, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4]

(52) CometSort
Input [4]: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37]
Arguments: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37], [ws_bill_customer_sk#34 ASC NULLS FIRST]

(53) ReusedExchange [Reuses operator id: 34]
Output [3]: [c_customer_sk#40, sum#41, isEmpty#42]

(54) CometHashAggregate
Input [3]: [c_customer_sk#40, sum#41, isEmpty#42]
Keys [1]: [c_customer_sk#40]
Functions [1]: [sum((cast(ss_quantity#43 as decimal(10,0)) * ss_sales_price#44))]

(55) CometFilter
Input [2]: [c_customer_sk#40, ssales#45]
Condition : (isnotnull(ssales#45) AND (cast(ssales#45 as decimal(38,8)) > (0.500000 * ReusedSubquery Subquery scalar-subquery#27, [id=#28])))

(56) CometProject
Input [2]: [c_customer_sk#40, ssales#45]
Arguments: [c_customer_sk#40], [c_customer_sk#40]

(57) CometSort
Input [1]: [c_customer_sk#40]
Arguments: [c_customer_sk#40], [c_customer_sk#40 ASC NULLS FIRST]

(58) CometSortMergeJoin
Left output [4]: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37]
Right output [1]: [c_customer_sk#40]
Arguments: [ws_bill_customer_sk#34], [c_customer_sk#40], LeftSemi

(59) CometProject
Input [4]: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37]
Arguments: [ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37], [ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37]

(60) ReusedExchange [Reuses operator id: 44]
Output [1]: [d_date_sk#46]

(61) CometBroadcastHashJoin
Left output [3]: [ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37]
Right output [1]: [d_date_sk#46]
Arguments: [ws_sold_date_sk#37], [d_date_sk#46], Inner, BuildRight

(62) CometProject
Input [4]: [ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37, d_date_sk#46]
Arguments: [sales#47], [(cast(ws_quantity#35 as decimal(10,0)) * ws_list_price#36) AS sales#47]

(63) CometUnion
Child 0 Input [1]: [sales#32]
Child 1 Input [1]: [sales#47]

(64) CometHashAggregate
Input [1]: [sales#32]
Keys: []
Functions [1]: [partial_sum(sales#32)]

(65) CometExchange
Input [2]: [sum#48, isEmpty#49]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5]

(66) CometHashAggregate
Input [2]: [sum#48, isEmpty#49]
Keys: []
Functions [1]: [sum(sales#32)]

(67) CometColumnarToRow [codegen id : 1]
Input [1]: [sum(sales)#50]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#5 IN dynamicpruning#6
BroadcastExchange (72)
+- * CometColumnarToRow (71)
   +- CometProject (70)
      +- CometFilter (69)
         +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (68)


(68) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#29, d_year#30, d_moy#31]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,2), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(69) CometFilter
Input [3]: [d_date_sk#29, d_year#30, d_moy#31]
Condition : ((((isnotnull(d_year#30) AND isnotnull(d_moy#31)) AND (d_year#30 = 2000)) AND (d_moy#31 = 2)) AND isnotnull(d_date_sk#29))

(70) CometProject
Input [3]: [d_date_sk#29, d_year#30, d_moy#31]
Arguments: [d_date_sk#29], [d_date_sk#29]

(71) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#29]

(72) BroadcastExchange
Input [1]: [d_date_sk#29]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6]

Subquery:2 Hosting operator id = 2 Hosting Expression = ss_sold_date_sk#8 IN dynamicpruning#9
BroadcastExchange (77)
+- * CometColumnarToRow (76)
   +- CometProject (75)
      +- CometFilter (74)
         +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (73)


(73) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#10, d_date#11, d_year#12]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [In(d_year, [2000,2001,2002,2003]), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date,d_year:int>

(74) CometFilter
Input [3]: [d_date_sk#10, d_date#11, d_year#12]
Condition : (d_year#12 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#10))

(75) CometProject
Input [3]: [d_date_sk#10, d_date#11, d_year#12]
Arguments: [d_date_sk#10, d_date#11], [d_date_sk#10, d_date#11]

(76) CometColumnarToRow [codegen id : 1]
Input [2]: [d_date_sk#10, d_date#11]

(77) BroadcastExchange
Input [2]: [d_date_sk#10, d_date#11]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7]

Subquery:3 Hosting operator id = 36 Hosting Expression = Subquery scalar-subquery#27, [id=#28]
* CometColumnarToRow (95)
+- CometHashAggregate (94)
   +- CometExchange (93)
      +- CometHashAggregate (92)
         +- CometHashAggregate (91)
            +- CometExchange (90)
               +- CometHashAggregate (89)
                  +- CometProject (88)
                     +- CometBroadcastHashJoin (87)
                        :- CometProject (82)
                        :  +- CometBroadcastHashJoin (81)
                        :     :- CometFilter (79)
                        :     :  +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (78)
                        :     +- ReusedExchange (80)
                        +- CometBroadcastExchange (86)
                           +- CometProject (85)
                              +- CometFilter (84)
                                 +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (83)


(78) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales
Output [4]: [ss_customer_sk#51, ss_quantity#52, ss_sales_price#53, ss_sold_date_sk#54]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#54), dynamicpruningexpression(ss_sold_date_sk#54 IN dynamicpruning#55)]
PushedFilters: [IsNotNull(ss_customer_sk)]
ReadSchema: struct<ss_customer_sk:int,ss_quantity:int,ss_sales_price:decimal(7,2)>

(79) CometFilter
Input [4]: [ss_customer_sk#51, ss_quantity#52, ss_sales_price#53, ss_sold_date_sk#54]
Condition : isnotnull(ss_customer_sk#51)

(80) ReusedExchange [Reuses operator id: 30]
Output [1]: [c_customer_sk#56]

(81) CometBroadcastHashJoin
Left output [4]: [ss_customer_sk#51, ss_quantity#52, ss_sales_price#53, ss_sold_date_sk#54]
Right output [1]: [c_customer_sk#56]
Arguments: [ss_customer_sk#51], [c_customer_sk#56], Inner, BuildRight

(82) CometProject
Input [5]: [ss_customer_sk#51, ss_quantity#52, ss_sales_price#53, ss_sold_date_sk#54, c_customer_sk#56]
Arguments: [ss_quantity#52, ss_sales_price#53, ss_sold_date_sk#54, c_customer_sk#56], [ss_quantity#52, ss_sales_price#53, ss_sold_date_sk#54, c_customer_sk#56]

(83) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#57, d_year#58]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [In(d_year, [2000,2001,2002,2003]), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(84) CometFilter
Input [2]: [d_date_sk#57, d_year#58]
Condition : (d_year#58 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#57))

(85) CometProject
Input [2]: [d_date_sk#57, d_year#58]
Arguments: [d_date_sk#57], [d_date_sk#57]

(86) CometBroadcastExchange
Input [1]: [d_date_sk#57]
Arguments: [d_date_sk#57]

(87) CometBroadcastHashJoin
Left output [4]: [ss_quantity#52, ss_sales_price#53, ss_sold_date_sk#54, c_customer_sk#56]
Right output [1]: [d_date_sk#57]
Arguments: [ss_sold_date_sk#54], [d_date_sk#57], Inner, BuildRight

(88) CometProject
Input [5]: [ss_quantity#52, ss_sales_price#53, ss_sold_date_sk#54, c_customer_sk#56, d_date_sk#57]
Arguments: [ss_quantity#52, ss_sales_price#53, c_customer_sk#56], [ss_quantity#52, ss_sales_price#53, c_customer_sk#56]

(89) CometHashAggregate
Input [3]: [ss_quantity#52, ss_sales_price#53, c_customer_sk#56]
Keys [1]: [c_customer_sk#56]
Functions [1]: [partial_sum((cast(ss_quantity#52 as decimal(10,0)) * ss_sales_price#53))]

(90) CometExchange
Input [3]: [c_customer_sk#56, sum#59, isEmpty#60]
Arguments: hashpartitioning(c_customer_sk#56, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8]

(91) CometHashAggregate
Input [3]: [c_customer_sk#56, sum#59, isEmpty#60]
Keys [1]: [c_customer_sk#56]
Functions [1]: [sum((cast(ss_quantity#52 as decimal(10,0)) * ss_sales_price#53))]

(92) CometHashAggregate
Input [1]: [csales#61]
Keys: []
Functions [1]: [partial_max(csales#61)]

(93) CometExchange
Input [1]: [max#62]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9]

(94) CometHashAggregate
Input [1]: [max#62]
Keys: []
Functions [1]: [max(csales#61)]

(95) CometColumnarToRow [codegen id : 1]
Input [1]: [tpcds_cmax#63]

Subquery:4 Hosting operator id = 78 Hosting Expression = ss_sold_date_sk#54 IN dynamicpruning#55
BroadcastExchange (100)
+- * CometColumnarToRow (99)
   +- CometProject (98)
      +- CometFilter (97)
         +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (96)


(96) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#57, d_year#58]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [In(d_year, [2000,2001,2002,2003]), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(97) CometFilter
Input [2]: [d_date_sk#57, d_year#58]
Condition : (d_year#58 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#57))

(98) CometProject
Input [2]: [d_date_sk#57, d_year#58]
Arguments: [d_date_sk#57], [d_date_sk#57]

(99) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#57]

(100) BroadcastExchange
Input [1]: [d_date_sk#57]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=10]

Subquery:5 Hosting operator id = 47 Hosting Expression = ws_sold_date_sk#37 IN dynamicpruning#6

Subquery:6 Hosting operator id = 55 Hosting Expression = ReusedSubquery Subquery scalar-subquery#27, [id=#28]


