== Physical Plan ==
* CometColumnarToRow (47)
+- CometTakeOrderedAndProject (46)
   +- CometHashAggregate (45)
      +- CometExchange (44)
         +- CometHashAggregate (43)
            +- CometProject (42)
               +- CometBroadcastHashJoin (41)
                  :- CometProject (36)
                  :  +- CometBroadcastHashJoin (35)
                  :     :- CometProject (30)
                  :     :  +- CometBroadcastHashJoin (29)
                  :     :     :- CometProject (24)
                  :     :     :  +- CometBroadcastHashJoin (23)
                  :     :     :     :- CometProject (18)
                  :     :     :     :  +- CometBroadcastHashJoin (17)
                  :     :     :     :     :- CometProject (12)
                  :     :     :     :     :  +- CometBroadcastHashJoin (11)
                  :     :     :     :     :     :- CometProject (7)
                  :     :     :     :     :     :  +- CometBroadcastHashJoin (6)
                  :     :     :     :     :     :     :- CometFilter (2)
                  :     :     :     :     :     :     :  +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1)
                  :     :     :     :     :     :     +- CometBroadcastExchange (5)
                  :     :     :     :     :     :        +- CometFilter (4)
                  :     :     :     :     :     :           +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (3)
                  :     :     :     :     :     +- CometBroadcastExchange (10)
                  :     :     :     :     :        +- CometFilter (9)
                  :     :     :     :     :           +- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales (8)
                  :     :     :     :     +- CometBroadcastExchange (16)
                  :     :     :     :        +- CometProject (15)
                  :     :     :     :           +- CometFilter (14)
                  :     :     :     :              +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (13)
                  :     :     :     +- CometBroadcastExchange (22)
                  :     :     :        +- CometProject (21)
                  :     :     :           +- CometFilter (20)
                  :     :     :              +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (19)
                  :     :     +- CometBroadcastExchange (28)
                  :     :        +- CometProject (27)
                  :     :           +- CometFilter (26)
                  :     :              +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (25)
                  :     +- CometBroadcastExchange (34)
                  :        +- CometProject (33)
                  :           +- CometFilter (32)
                  :              +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (31)
                  +- CometBroadcastExchange (40)
                     +- CometProject (39)
                        +- CometFilter (38)
                           +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (37)


(1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales
Output [6]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_quantity#5, ss_sold_date_sk#6]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#6), dynamicpruningexpression(ss_sold_date_sk#6 IN dynamicpruning#7)]
PushedFilters: [IsNotNull(ss_customer_sk), IsNotNull(ss_item_sk), IsNotNull(ss_ticket_number), IsNotNull(ss_store_sk)]
ReadSchema: struct<ss_item_sk:int,ss_customer_sk:int,ss_store_sk:int,ss_ticket_number:int,ss_quantity:int>

(2) CometFilter
Input [6]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_quantity#5, ss_sold_date_sk#6]
Condition : (((isnotnull(ss_customer_sk#2) AND isnotnull(ss_item_sk#1)) AND isnotnull(ss_ticket_number#4)) AND isnotnull(ss_store_sk#3))

(3) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns
Output [5]: [sr_item_sk#8, sr_customer_sk#9, sr_ticket_number#10, sr_return_quantity#11, sr_returned_date_sk#12]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(sr_returned_date_sk#12), dynamicpruningexpression(sr_returned_date_sk#12 IN dynamicpruning#13)]
PushedFilters: [IsNotNull(sr_customer_sk), IsNotNull(sr_item_sk), IsNotNull(sr_ticket_number)]
ReadSchema: struct<sr_item_sk:int,sr_customer_sk:int,sr_ticket_number:int,sr_return_quantity:int>

(4) CometFilter
Input [5]: [sr_item_sk#8, sr_customer_sk#9, sr_ticket_number#10, sr_return_quantity#11, sr_returned_date_sk#12]
Condition : ((isnotnull(sr_customer_sk#9) AND isnotnull(sr_item_sk#8)) AND isnotnull(sr_ticket_number#10))

(5) CometBroadcastExchange
Input [5]: [sr_item_sk#8, sr_customer_sk#9, sr_ticket_number#10, sr_return_quantity#11, sr_returned_date_sk#12]
Arguments: [sr_item_sk#8, sr_customer_sk#9, sr_ticket_number#10, sr_return_quantity#11, sr_returned_date_sk#12]

(6) CometBroadcastHashJoin
Left output [6]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_quantity#5, ss_sold_date_sk#6]
Right output [5]: [sr_item_sk#8, sr_customer_sk#9, sr_ticket_number#10, sr_return_quantity#11, sr_returned_date_sk#12]
Arguments: [ss_customer_sk#2, ss_item_sk#1, ss_ticket_number#4], [sr_customer_sk#9, sr_item_sk#8, sr_ticket_number#10], Inner, BuildRight

(7) CometProject
Input [11]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_quantity#5, ss_sold_date_sk#6, sr_item_sk#8, sr_customer_sk#9, sr_ticket_number#10, sr_return_quantity#11, sr_returned_date_sk#12]
Arguments: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_item_sk#8, sr_customer_sk#9, sr_return_quantity#11, sr_returned_date_sk#12], [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_item_sk#8, sr_customer_sk#9, sr_return_quantity#11, sr_returned_date_sk#12]

(8) CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales
Output [4]: [cs_bill_customer_sk#14, cs_item_sk#15, cs_quantity#16, cs_sold_date_sk#17]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#17), dynamicpruningexpression(cs_sold_date_sk#17 IN dynamicpruning#18)]
PushedFilters: [IsNotNull(cs_bill_customer_sk), IsNotNull(cs_item_sk)]
ReadSchema: struct<cs_bill_customer_sk:int,cs_item_sk:int,cs_quantity:int>

(9) CometFilter
Input [4]: [cs_bill_customer_sk#14, cs_item_sk#15, cs_quantity#16, cs_sold_date_sk#17]
Condition : (isnotnull(cs_bill_customer_sk#14) AND isnotnull(cs_item_sk#15))

(10) CometBroadcastExchange
Input [4]: [cs_bill_customer_sk#14, cs_item_sk#15, cs_quantity#16, cs_sold_date_sk#17]
Arguments: [cs_bill_customer_sk#14, cs_item_sk#15, cs_quantity#16, cs_sold_date_sk#17]

(11) CometBroadcastHashJoin
Left output [8]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_item_sk#8, sr_customer_sk#9, sr_return_quantity#11, sr_returned_date_sk#12]
Right output [4]: [cs_bill_customer_sk#14, cs_item_sk#15, cs_quantity#16, cs_sold_date_sk#17]
Arguments: [sr_customer_sk#9, sr_item_sk#8], [cs_bill_customer_sk#14, cs_item_sk#15], Inner, BuildRight

(12) CometProject
Input [12]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_item_sk#8, sr_customer_sk#9, sr_return_quantity#11, sr_returned_date_sk#12, cs_bill_customer_sk#14, cs_item_sk#15, cs_quantity#16, cs_sold_date_sk#17]
Arguments: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_return_quantity#11, sr_returned_date_sk#12, cs_quantity#16, cs_sold_date_sk#17], [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_return_quantity#11, sr_returned_date_sk#12, cs_quantity#16, cs_sold_date_sk#17]

(13) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#19, d_year#20, d_moy#21]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,9), EqualTo(d_year,1999), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(14) CometFilter
Input [3]: [d_date_sk#19, d_year#20, d_moy#21]
Condition : ((((isnotnull(d_moy#21) AND isnotnull(d_year#20)) AND (d_moy#21 = 9)) AND (d_year#20 = 1999)) AND isnotnull(d_date_sk#19))

(15) CometProject
Input [3]: [d_date_sk#19, d_year#20, d_moy#21]
Arguments: [d_date_sk#19], [d_date_sk#19]

(16) CometBroadcastExchange
Input [1]: [d_date_sk#19]
Arguments: [d_date_sk#19]

(17) CometBroadcastHashJoin
Left output [8]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_return_quantity#11, sr_returned_date_sk#12, cs_quantity#16, cs_sold_date_sk#17]
Right output [1]: [d_date_sk#19]
Arguments: [ss_sold_date_sk#6], [d_date_sk#19], Inner, BuildRight

(18) CometProject
Input [9]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_return_quantity#11, sr_returned_date_sk#12, cs_quantity#16, cs_sold_date_sk#17, d_date_sk#19]
Arguments: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, sr_returned_date_sk#12, cs_quantity#16, cs_sold_date_sk#17], [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, sr_returned_date_sk#12, cs_quantity#16, cs_sold_date_sk#17]

(19) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#22, d_year#23, d_moy#24]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), GreaterThanOrEqual(d_moy,9), LessThanOrEqual(d_moy,12), EqualTo(d_year,1999), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(20) CometFilter
Input [3]: [d_date_sk#22, d_year#23, d_moy#24]
Condition : (((((isnotnull(d_moy#24) AND isnotnull(d_year#23)) AND (d_moy#24 >= 9)) AND (d_moy#24 <= 12)) AND (d_year#23 = 1999)) AND isnotnull(d_date_sk#22))

(21) CometProject
Input [3]: [d_date_sk#22, d_year#23, d_moy#24]
Arguments: [d_date_sk#22], [d_date_sk#22]

(22) CometBroadcastExchange
Input [1]: [d_date_sk#22]
Arguments: [d_date_sk#22]

(23) CometBroadcastHashJoin
Left output [7]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, sr_returned_date_sk#12, cs_quantity#16, cs_sold_date_sk#17]
Right output [1]: [d_date_sk#22]
Arguments: [sr_returned_date_sk#12], [d_date_sk#22], Inner, BuildRight

(24) CometProject
Input [8]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, sr_returned_date_sk#12, cs_quantity#16, cs_sold_date_sk#17, d_date_sk#22]
Arguments: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, cs_quantity#16, cs_sold_date_sk#17], [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, cs_quantity#16, cs_sold_date_sk#17]

(25) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#25, d_year#26]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(26) CometFilter
Input [2]: [d_date_sk#25, d_year#26]
Condition : (d_year#26 IN (1999,2000,2001) AND isnotnull(d_date_sk#25))

(27) CometProject
Input [2]: [d_date_sk#25, d_year#26]
Arguments: [d_date_sk#25], [d_date_sk#25]

(28) CometBroadcastExchange
Input [1]: [d_date_sk#25]
Arguments: [d_date_sk#25]

(29) CometBroadcastHashJoin
Left output [6]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, cs_quantity#16, cs_sold_date_sk#17]
Right output [1]: [d_date_sk#25]
Arguments: [cs_sold_date_sk#17], [d_date_sk#25], Inner, BuildRight

(30) CometProject
Input [7]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, cs_quantity#16, cs_sold_date_sk#17, d_date_sk#25]
Arguments: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, cs_quantity#16], [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, cs_quantity#16]

(31) CometScan [native_iceberg_compat] parquet spark_catalog.default.store
Output [3]: [s_store_sk#27, s_store_id#28, s_store_name#29]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_store_id:string,s_store_name:string>

(32) CometFilter
Input [3]: [s_store_sk#27, s_store_id#28, s_store_name#29]
Condition : isnotnull(s_store_sk#27)

(33) CometProject
Input [3]: [s_store_sk#27, s_store_id#28, s_store_name#29]
Arguments: [s_store_sk#27, s_store_id#30, s_store_name#29], [s_store_sk#27, static_invoke(CharVarcharCodegenUtils.readSidePadding(s_store_id#28, 16)) AS s_store_id#30, s_store_name#29]

(34) CometBroadcastExchange
Input [3]: [s_store_sk#27, s_store_id#30, s_store_name#29]
Arguments: [s_store_sk#27, s_store_id#30, s_store_name#29]

(35) CometBroadcastHashJoin
Left output [5]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, cs_quantity#16]
Right output [3]: [s_store_sk#27, s_store_id#30, s_store_name#29]
Arguments: [ss_store_sk#3], [s_store_sk#27], Inner, BuildRight

(36) CometProject
Input [8]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, cs_quantity#16, s_store_sk#27, s_store_id#30, s_store_name#29]
Arguments: [ss_item_sk#1, ss_quantity#5, sr_return_quantity#11, cs_quantity#16, s_store_id#30, s_store_name#29], [ss_item_sk#1, ss_quantity#5, sr_return_quantity#11, cs_quantity#16, s_store_id#30, s_store_name#29]

(37) CometScan [native_iceberg_compat] parquet spark_catalog.default.item
Output [3]: [i_item_sk#31, i_item_id#32, i_item_desc#33]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_item_id:string,i_item_desc:string>

(38) CometFilter
Input [3]: [i_item_sk#31, i_item_id#32, i_item_desc#33]
Condition : isnotnull(i_item_sk#31)

(39) CometProject
Input [3]: [i_item_sk#31, i_item_id#32, i_item_desc#33]
Arguments: [i_item_sk#31, i_item_id#34, i_item_desc#33], [i_item_sk#31, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_item_id#32, 16)) AS i_item_id#34, i_item_desc#33]

(40) CometBroadcastExchange
Input [3]: [i_item_sk#31, i_item_id#34, i_item_desc#33]
Arguments: [i_item_sk#31, i_item_id#34, i_item_desc#33]

(41) CometBroadcastHashJoin
Left output [6]: [ss_item_sk#1, ss_quantity#5, sr_return_quantity#11, cs_quantity#16, s_store_id#30, s_store_name#29]
Right output [3]: [i_item_sk#31, i_item_id#34, i_item_desc#33]
Arguments: [ss_item_sk#1], [i_item_sk#31], Inner, BuildRight

(42) CometProject
Input [9]: [ss_item_sk#1, ss_quantity#5, sr_return_quantity#11, cs_quantity#16, s_store_id#30, s_store_name#29, i_item_sk#31, i_item_id#34, i_item_desc#33]
Arguments: [ss_quantity#5, sr_return_quantity#11, cs_quantity#16, s_store_id#30, s_store_name#29, i_item_id#34, i_item_desc#33], [ss_quantity#5, sr_return_quantity#11, cs_quantity#16, s_store_id#30, s_store_name#29, i_item_id#34, i_item_desc#33]

(43) CometHashAggregate
Input [7]: [ss_quantity#5, sr_return_quantity#11, cs_quantity#16, s_store_id#30, s_store_name#29, i_item_id#34, i_item_desc#33]
Keys [4]: [i_item_id#34, i_item_desc#33, s_store_id#30, s_store_name#29]
Functions [3]: [partial_sum(ss_quantity#5), partial_sum(sr_return_quantity#11), partial_sum(cs_quantity#16)]

(44) CometExchange
Input [7]: [i_item_id#34, i_item_desc#33, s_store_id#30, s_store_name#29, sum#35, sum#36, sum#37]
Arguments: hashpartitioning(i_item_id#34, i_item_desc#33, s_store_id#30, s_store_name#29, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(45) CometHashAggregate
Input [7]: [i_item_id#34, i_item_desc#33, s_store_id#30, s_store_name#29, sum#35, sum#36, sum#37]
Keys [4]: [i_item_id#34, i_item_desc#33, s_store_id#30, s_store_name#29]
Functions [3]: [sum(ss_quantity#5), sum(sr_return_quantity#11), sum(cs_quantity#16)]

(46) CometTakeOrderedAndProject
Input [7]: [i_item_id#34, i_item_desc#33, s_store_id#30, s_store_name#29, store_sales_quantity#38, store_returns_quantity#39, catalog_sales_quantity#40]
Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#34 ASC NULLS FIRST,i_item_desc#33 ASC NULLS FIRST,s_store_id#30 ASC NULLS FIRST,s_store_name#29 ASC NULLS FIRST], output=[i_item_id#34,i_item_desc#33,s_store_id#30,s_store_name#29,store_sales_quantity#38,store_returns_quantity#39,catalog_sales_quantity#40]), [i_item_id#34, i_item_desc#33, s_store_id#30, s_store_name#29, store_sales_quantity#38, store_returns_quantity#39, catalog_sales_quantity#40], 100, 0, [i_item_id#34 ASC NULLS FIRST, i_item_desc#33 ASC NULLS FIRST, s_store_id#30 ASC NULLS FIRST, s_store_name#29 ASC NULLS FIRST], [i_item_id#34, i_item_desc#33, s_store_id#30, s_store_name#29, store_sales_quantity#38, store_returns_quantity#39, catalog_sales_quantity#40]

(47) CometColumnarToRow [codegen id : 1]
Input [7]: [i_item_id#34, i_item_desc#33, s_store_id#30, s_store_name#29, store_sales_quantity#38, store_returns_quantity#39, catalog_sales_quantity#40]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#6 IN dynamicpruning#7
BroadcastExchange (52)
+- * CometColumnarToRow (51)
   +- CometProject (50)
      +- CometFilter (49)
         +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (48)


(48) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#19, d_year#20, d_moy#21]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,9), EqualTo(d_year,1999), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(49) CometFilter
Input [3]: [d_date_sk#19, d_year#20, d_moy#21]
Condition : ((((isnotnull(d_moy#21) AND isnotnull(d_year#20)) AND (d_moy#21 = 9)) AND (d_year#20 = 1999)) AND isnotnull(d_date_sk#19))

(50) CometProject
Input [3]: [d_date_sk#19, d_year#20, d_moy#21]
Arguments: [d_date_sk#19], [d_date_sk#19]

(51) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#19]

(52) BroadcastExchange
Input [1]: [d_date_sk#19]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]

Subquery:2 Hosting operator id = 3 Hosting Expression = sr_returned_date_sk#12 IN dynamicpruning#13
BroadcastExchange (57)
+- * CometColumnarToRow (56)
   +- CometProject (55)
      +- CometFilter (54)
         +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (53)


(53) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#22, d_year#23, d_moy#24]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), GreaterThanOrEqual(d_moy,9), LessThanOrEqual(d_moy,12), EqualTo(d_year,1999), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(54) CometFilter
Input [3]: [d_date_sk#22, d_year#23, d_moy#24]
Condition : (((((isnotnull(d_moy#24) AND isnotnull(d_year#23)) AND (d_moy#24 >= 9)) AND (d_moy#24 <= 12)) AND (d_year#23 = 1999)) AND isnotnull(d_date_sk#22))

(55) CometProject
Input [3]: [d_date_sk#22, d_year#23, d_moy#24]
Arguments: [d_date_sk#22], [d_date_sk#22]

(56) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#22]

(57) BroadcastExchange
Input [1]: [d_date_sk#22]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]

Subquery:3 Hosting operator id = 8 Hosting Expression = cs_sold_date_sk#17 IN dynamicpruning#18
BroadcastExchange (62)
+- * CometColumnarToRow (61)
   +- CometProject (60)
      +- CometFilter (59)
         +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (58)


(58) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#25, d_year#26]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(59) CometFilter
Input [2]: [d_date_sk#25, d_year#26]
Condition : (d_year#26 IN (1999,2000,2001) AND isnotnull(d_date_sk#25))

(60) CometProject
Input [2]: [d_date_sk#25, d_year#26]
Arguments: [d_date_sk#25], [d_date_sk#25]

(61) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#25]

(62) BroadcastExchange
Input [1]: [d_date_sk#25]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4]


