== Physical Plan ==
* ColumnarToRow (56)
+- CometTakeOrderedAndProject (55)
   +- CometHashAggregate (54)
      +- CometExchange (53)
         +- CometHashAggregate (52)
            +- CometHashAggregate (51)
               +- CometExchange (50)
                  +- CometHashAggregate (49)
                     +- CometProject (48)
                        +- CometBroadcastHashJoin (47)
                           :- CometProject (42)
                           :  +- CometBroadcastHashJoin (41)
                           :     :- CometProject (37)
                           :     :  +- CometBroadcastHashJoin (36)
                           :     :     :- CometProject (32)
                           :     :     :  +- CometBroadcastHashJoin (31)
                           :     :     :     :- CometHashAggregate (27)
                           :     :     :     :  +- CometExchange (26)
                           :     :     :     :     +- CometHashAggregate (25)
                           :     :     :     :        +- CometProject (24)
                           :     :     :     :           +- CometBroadcastHashJoin (23)
                           :     :     :     :              :- CometProject (19)
                           :     :     :     :              :  +- CometBroadcastHashJoin (18)
                           :     :     :     :              :     :- CometProject (13)
                           :     :     :     :              :     :  +- CometBroadcastHashJoin (12)
                           :     :     :     :              :     :     :- CometUnion (7)
                           :     :     :     :              :     :     :  :- CometProject (3)
                           :     :     :     :              :     :     :  :  +- CometFilter (2)
                           :     :     :     :              :     :     :  :     +- CometScan parquet spark_catalog.default.catalog_sales (1)
                           :     :     :     :              :     :     :  +- CometProject (6)
                           :     :     :     :              :     :     :     +- CometFilter (5)
                           :     :     :     :              :     :     :        +- CometScan parquet spark_catalog.default.web_sales (4)
                           :     :     :     :              :     :     +- CometBroadcastExchange (11)
                           :     :     :     :              :     :        +- CometProject (10)
                           :     :     :     :              :     :           +- CometFilter (9)
                           :     :     :     :              :     :              +- CometScan parquet spark_catalog.default.item (8)
                           :     :     :     :              :     +- CometBroadcastExchange (17)
                           :     :     :     :              :        +- CometProject (16)
                           :     :     :     :              :           +- CometFilter (15)
                           :     :     :     :              :              +- CometScan parquet spark_catalog.default.date_dim (14)
                           :     :     :     :              +- CometBroadcastExchange (22)
                           :     :     :     :                 +- CometFilter (21)
                           :     :     :     :                    +- CometScan parquet spark_catalog.default.customer (20)
                           :     :     :     +- CometBroadcastExchange (30)
                           :     :     :        +- CometFilter (29)
                           :     :     :           +- CometScan parquet spark_catalog.default.store_sales (28)
                           :     :     +- CometBroadcastExchange (35)
                           :     :        +- CometFilter (34)
                           :     :           +- CometScan parquet spark_catalog.default.customer_address (33)
                           :     +- CometBroadcastExchange (40)
                           :        +- CometFilter (39)
                           :           +- CometScan parquet spark_catalog.default.store (38)
                           +- CometBroadcastExchange (46)
                              +- CometProject (45)
                                 +- CometFilter (44)
                                    +- CometScan parquet spark_catalog.default.date_dim (43)


(1) CometScan parquet spark_catalog.default.catalog_sales
Output [3]: [cs_bill_customer_sk#1, cs_item_sk#2, cs_sold_date_sk#3]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#3)]
PushedFilters: [IsNotNull(cs_item_sk), IsNotNull(cs_bill_customer_sk)]
ReadSchema: struct<cs_bill_customer_sk:int,cs_item_sk:int>

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

(3) CometProject
Input [3]: [cs_bill_customer_sk#1, cs_item_sk#2, cs_sold_date_sk#3]
Arguments: [sold_date_sk#4, customer_sk#5, item_sk#6], [cs_sold_date_sk#3 AS sold_date_sk#4, cs_bill_customer_sk#1 AS customer_sk#5, cs_item_sk#2 AS item_sk#6]

(4) CometScan parquet spark_catalog.default.web_sales
Output [3]: [ws_item_sk#7, ws_bill_customer_sk#8, ws_sold_date_sk#9]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#9)]
PushedFilters: [IsNotNull(ws_item_sk), IsNotNull(ws_bill_customer_sk)]
ReadSchema: struct<ws_item_sk:int,ws_bill_customer_sk:int>

(5) CometFilter
Input [3]: [ws_item_sk#7, ws_bill_customer_sk#8, ws_sold_date_sk#9]
Condition : (isnotnull(ws_item_sk#7) AND isnotnull(ws_bill_customer_sk#8))

(6) CometProject
Input [3]: [ws_item_sk#7, ws_bill_customer_sk#8, ws_sold_date_sk#9]
Arguments: [sold_date_sk#10, customer_sk#11, item_sk#12], [ws_sold_date_sk#9 AS sold_date_sk#10, ws_bill_customer_sk#8 AS customer_sk#11, ws_item_sk#7 AS item_sk#12]

(7) CometUnion
Child 0 Input [3]: [sold_date_sk#4, customer_sk#5, item_sk#6]
Child 1 Input [3]: [sold_date_sk#10, customer_sk#11, item_sk#12]

(8) CometScan parquet spark_catalog.default.item
Output [3]: [i_item_sk#13, i_class#14, i_category#15]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_category), IsNotNull(i_class), EqualTo(i_category,Women                                             ), EqualTo(i_class,maternity                                         ), IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_class:string,i_category:string>

(9) CometFilter
Input [3]: [i_item_sk#13, i_class#14, i_category#15]
Condition : ((((isnotnull(i_category#15) AND isnotnull(i_class#14)) AND (i_category#15 = Women                                             )) AND (i_class#14 = maternity                                         )) AND isnotnull(i_item_sk#13))

(10) CometProject
Input [3]: [i_item_sk#13, i_class#14, i_category#15]
Arguments: [i_item_sk#13], [i_item_sk#13]

(11) CometBroadcastExchange
Input [1]: [i_item_sk#13]
Arguments: [i_item_sk#13]

(12) CometBroadcastHashJoin
Left output [3]: [sold_date_sk#4, customer_sk#5, item_sk#6]
Right output [1]: [i_item_sk#13]
Arguments: [item_sk#6], [i_item_sk#13], Inner, BuildRight

(13) CometProject
Input [4]: [sold_date_sk#4, customer_sk#5, item_sk#6, i_item_sk#13]
Arguments: [sold_date_sk#4, customer_sk#5], [sold_date_sk#4, customer_sk#5]

(14) CometScan parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#16, d_year#17, d_moy#18]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,12), EqualTo(d_year,1998), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(15) CometFilter
Input [3]: [d_date_sk#16, d_year#17, d_moy#18]
Condition : ((((isnotnull(d_moy#18) AND isnotnull(d_year#17)) AND (d_moy#18 = 12)) AND (d_year#17 = 1998)) AND isnotnull(d_date_sk#16))

(16) CometProject
Input [3]: [d_date_sk#16, d_year#17, d_moy#18]
Arguments: [d_date_sk#16], [d_date_sk#16]

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

(18) CometBroadcastHashJoin
Left output [2]: [sold_date_sk#4, customer_sk#5]
Right output [1]: [d_date_sk#16]
Arguments: [sold_date_sk#4], [d_date_sk#16], Inner, BuildRight

(19) CometProject
Input [3]: [sold_date_sk#4, customer_sk#5, d_date_sk#16]
Arguments: [customer_sk#5], [customer_sk#5]

(20) CometScan parquet spark_catalog.default.customer
Output [2]: [c_customer_sk#19, c_current_addr_sk#20]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer]
PushedFilters: [IsNotNull(c_customer_sk), IsNotNull(c_current_addr_sk)]
ReadSchema: struct<c_customer_sk:int,c_current_addr_sk:int>

(21) CometFilter
Input [2]: [c_customer_sk#19, c_current_addr_sk#20]
Condition : (isnotnull(c_customer_sk#19) AND isnotnull(c_current_addr_sk#20))

(22) CometBroadcastExchange
Input [2]: [c_customer_sk#19, c_current_addr_sk#20]
Arguments: [c_customer_sk#19, c_current_addr_sk#20]

(23) CometBroadcastHashJoin
Left output [1]: [customer_sk#5]
Right output [2]: [c_customer_sk#19, c_current_addr_sk#20]
Arguments: [customer_sk#5], [c_customer_sk#19], Inner, BuildRight

(24) CometProject
Input [3]: [customer_sk#5, c_customer_sk#19, c_current_addr_sk#20]
Arguments: [c_customer_sk#19, c_current_addr_sk#20], [c_customer_sk#19, c_current_addr_sk#20]

(25) CometHashAggregate
Input [2]: [c_customer_sk#19, c_current_addr_sk#20]
Keys [2]: [c_customer_sk#19, c_current_addr_sk#20]
Functions: []

(26) CometExchange
Input [2]: [c_customer_sk#19, c_current_addr_sk#20]
Arguments: hashpartitioning(c_customer_sk#19, c_current_addr_sk#20, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(27) CometHashAggregate
Input [2]: [c_customer_sk#19, c_current_addr_sk#20]
Keys [2]: [c_customer_sk#19, c_current_addr_sk#20]
Functions: []

(28) CometScan parquet spark_catalog.default.store_sales
Output [3]: [ss_customer_sk#21, ss_ext_sales_price#22, ss_sold_date_sk#23]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#23)]
PushedFilters: [IsNotNull(ss_customer_sk)]
ReadSchema: struct<ss_customer_sk:int,ss_ext_sales_price:decimal(7,2)>

(29) CometFilter
Input [3]: [ss_customer_sk#21, ss_ext_sales_price#22, ss_sold_date_sk#23]
Condition : isnotnull(ss_customer_sk#21)

(30) CometBroadcastExchange
Input [3]: [ss_customer_sk#21, ss_ext_sales_price#22, ss_sold_date_sk#23]
Arguments: [ss_customer_sk#21, ss_ext_sales_price#22, ss_sold_date_sk#23]

(31) CometBroadcastHashJoin
Left output [2]: [c_customer_sk#19, c_current_addr_sk#20]
Right output [3]: [ss_customer_sk#21, ss_ext_sales_price#22, ss_sold_date_sk#23]
Arguments: [c_customer_sk#19], [ss_customer_sk#21], Inner, BuildRight

(32) CometProject
Input [5]: [c_customer_sk#19, c_current_addr_sk#20, ss_customer_sk#21, ss_ext_sales_price#22, ss_sold_date_sk#23]
Arguments: [c_customer_sk#19, c_current_addr_sk#20, ss_ext_sales_price#22, ss_sold_date_sk#23], [c_customer_sk#19, c_current_addr_sk#20, ss_ext_sales_price#22, ss_sold_date_sk#23]

(33) CometScan parquet spark_catalog.default.customer_address
Output [3]: [ca_address_sk#24, ca_county#25, ca_state#26]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_address]
PushedFilters: [IsNotNull(ca_address_sk), IsNotNull(ca_county), IsNotNull(ca_state)]
ReadSchema: struct<ca_address_sk:int,ca_county:string,ca_state:string>

(34) CometFilter
Input [3]: [ca_address_sk#24, ca_county#25, ca_state#26]
Condition : ((isnotnull(ca_address_sk#24) AND isnotnull(ca_county#25)) AND isnotnull(ca_state#26))

(35) CometBroadcastExchange
Input [3]: [ca_address_sk#24, ca_county#25, ca_state#26]
Arguments: [ca_address_sk#24, ca_county#25, ca_state#26]

(36) CometBroadcastHashJoin
Left output [4]: [c_customer_sk#19, c_current_addr_sk#20, ss_ext_sales_price#22, ss_sold_date_sk#23]
Right output [3]: [ca_address_sk#24, ca_county#25, ca_state#26]
Arguments: [c_current_addr_sk#20], [ca_address_sk#24], Inner, BuildRight

(37) CometProject
Input [7]: [c_customer_sk#19, c_current_addr_sk#20, ss_ext_sales_price#22, ss_sold_date_sk#23, ca_address_sk#24, ca_county#25, ca_state#26]
Arguments: [c_customer_sk#19, ss_ext_sales_price#22, ss_sold_date_sk#23, ca_county#25, ca_state#26], [c_customer_sk#19, ss_ext_sales_price#22, ss_sold_date_sk#23, ca_county#25, ca_state#26]

(38) CometScan parquet spark_catalog.default.store
Output [2]: [s_county#27, s_state#28]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_county), IsNotNull(s_state)]
ReadSchema: struct<s_county:string,s_state:string>

(39) CometFilter
Input [2]: [s_county#27, s_state#28]
Condition : (isnotnull(s_county#27) AND isnotnull(s_state#28))

(40) CometBroadcastExchange
Input [2]: [s_county#27, s_state#28]
Arguments: [s_county#27, s_state#28]

(41) CometBroadcastHashJoin
Left output [5]: [c_customer_sk#19, ss_ext_sales_price#22, ss_sold_date_sk#23, ca_county#25, ca_state#26]
Right output [2]: [s_county#27, s_state#28]
Arguments: [ca_county#25, ca_state#26], [s_county#27, s_state#28], Inner, BuildRight

(42) CometProject
Input [7]: [c_customer_sk#19, ss_ext_sales_price#22, ss_sold_date_sk#23, ca_county#25, ca_state#26, s_county#27, s_state#28]
Arguments: [c_customer_sk#19, ss_ext_sales_price#22, ss_sold_date_sk#23], [c_customer_sk#19, ss_ext_sales_price#22, ss_sold_date_sk#23]

(43) CometScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#29, d_month_seq#30]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_month_seq), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_month_seq:int>

(44) CometFilter
Input [2]: [d_date_sk#29, d_month_seq#30]
Condition : (((isnotnull(d_month_seq#30) AND (d_month_seq#30 >= Subquery scalar-subquery#31, [id=#32])) AND (d_month_seq#30 <= Subquery scalar-subquery#33, [id=#34])) AND isnotnull(d_date_sk#29))

(45) CometProject
Input [2]: [d_date_sk#29, d_month_seq#30]
Arguments: [d_date_sk#29], [d_date_sk#29]

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

(47) CometBroadcastHashJoin
Left output [3]: [c_customer_sk#19, ss_ext_sales_price#22, ss_sold_date_sk#23]
Right output [1]: [d_date_sk#29]
Arguments: [ss_sold_date_sk#23], [d_date_sk#29], Inner, BuildRight

(48) CometProject
Input [4]: [c_customer_sk#19, ss_ext_sales_price#22, ss_sold_date_sk#23, d_date_sk#29]
Arguments: [c_customer_sk#19, ss_ext_sales_price#22], [c_customer_sk#19, ss_ext_sales_price#22]

(49) CometHashAggregate
Input [2]: [c_customer_sk#19, ss_ext_sales_price#22]
Keys [1]: [c_customer_sk#19]
Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#22))]

(50) CometExchange
Input [2]: [c_customer_sk#19, sum#35]
Arguments: hashpartitioning(c_customer_sk#19, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2]

(51) CometHashAggregate
Input [2]: [c_customer_sk#19, sum#35]
Keys [1]: [c_customer_sk#19]
Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#22))]

(52) CometHashAggregate
Input [1]: [segment#36]
Keys [1]: [segment#36]
Functions [1]: [partial_count(1)]

(53) CometExchange
Input [2]: [segment#36, count#37]
Arguments: hashpartitioning(segment#36, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3]

(54) CometHashAggregate
Input [2]: [segment#36, count#37]
Keys [1]: [segment#36]
Functions [1]: [count(1)]

(55) CometTakeOrderedAndProject
Input [3]: [segment#36, num_customers#38, segment_base#39]
Arguments: TakeOrderedAndProject(limit=100, orderBy=[segment#36 ASC NULLS FIRST,num_customers#38 ASC NULLS FIRST], output=[segment#36,num_customers#38,segment_base#39]), [segment#36, num_customers#38, segment_base#39], 100, [segment#36 ASC NULLS FIRST, num_customers#38 ASC NULLS FIRST], [segment#36, num_customers#38, segment_base#39]

(56) ColumnarToRow [codegen id : 1]
Input [3]: [segment#36, num_customers#38, segment_base#39]

===== Subqueries =====

Subquery:1 Hosting operator id = 44 Hosting Expression = Subquery scalar-subquery#31, [id=#32]
* ColumnarToRow (63)
+- CometHashAggregate (62)
   +- CometExchange (61)
      +- CometHashAggregate (60)
         +- CometProject (59)
            +- CometFilter (58)
               +- CometScan parquet spark_catalog.default.date_dim (57)


(57) CometScan parquet spark_catalog.default.date_dim
Output [3]: [d_month_seq#40, d_year#41, d_moy#42]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,12)]
ReadSchema: struct<d_month_seq:int,d_year:int,d_moy:int>

(58) CometFilter
Input [3]: [d_month_seq#40, d_year#41, d_moy#42]
Condition : (((isnotnull(d_year#41) AND isnotnull(d_moy#42)) AND (d_year#41 = 1998)) AND (d_moy#42 = 12))

(59) CometProject
Input [3]: [d_month_seq#40, d_year#41, d_moy#42]
Arguments: [(d_month_seq + 1)#43], [(d_month_seq#40 + 1) AS (d_month_seq + 1)#43]

(60) CometHashAggregate
Input [1]: [(d_month_seq + 1)#43]
Keys [1]: [(d_month_seq + 1)#43]
Functions: []

(61) CometExchange
Input [1]: [(d_month_seq + 1)#43]
Arguments: hashpartitioning((d_month_seq + 1)#43, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4]

(62) CometHashAggregate
Input [1]: [(d_month_seq + 1)#43]
Keys [1]: [(d_month_seq + 1)#43]
Functions: []

(63) ColumnarToRow [codegen id : 1]
Input [1]: [(d_month_seq + 1)#43]

Subquery:2 Hosting operator id = 44 Hosting Expression = Subquery scalar-subquery#33, [id=#34]
* ColumnarToRow (70)
+- CometHashAggregate (69)
   +- CometExchange (68)
      +- CometHashAggregate (67)
         +- CometProject (66)
            +- CometFilter (65)
               +- CometScan parquet spark_catalog.default.date_dim (64)


(64) CometScan parquet spark_catalog.default.date_dim
Output [3]: [d_month_seq#44, d_year#45, d_moy#46]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,12)]
ReadSchema: struct<d_month_seq:int,d_year:int,d_moy:int>

(65) CometFilter
Input [3]: [d_month_seq#44, d_year#45, d_moy#46]
Condition : (((isnotnull(d_year#45) AND isnotnull(d_moy#46)) AND (d_year#45 = 1998)) AND (d_moy#46 = 12))

(66) CometProject
Input [3]: [d_month_seq#44, d_year#45, d_moy#46]
Arguments: [(d_month_seq + 3)#47], [(d_month_seq#44 + 3) AS (d_month_seq + 3)#47]

(67) CometHashAggregate
Input [1]: [(d_month_seq + 3)#47]
Keys [1]: [(d_month_seq + 3)#47]
Functions: []

(68) CometExchange
Input [1]: [(d_month_seq + 3)#47]
Arguments: hashpartitioning((d_month_seq + 3)#47, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5]

(69) CometHashAggregate
Input [1]: [(d_month_seq + 3)#47]
Keys [1]: [(d_month_seq + 3)#47]
Functions: []

(70) ColumnarToRow [codegen id : 1]
Input [1]: [(d_month_seq + 3)#47]


