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


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

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

(3) CometScan parquet spark_catalog.default.store
Output [2]: [s_store_sk#7, s_gmt_offset#8]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_gmt_offset), EqualTo(s_gmt_offset,-5.00), IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_gmt_offset:decimal(5,2)>

(4) CometFilter
Input [2]: [s_store_sk#7, s_gmt_offset#8]
Condition : ((isnotnull(s_gmt_offset#8) AND (s_gmt_offset#8 = -5.00)) AND isnotnull(s_store_sk#7))

(5) CometProject
Input [2]: [s_store_sk#7, s_gmt_offset#8]
Arguments: [s_store_sk#7], [s_store_sk#7]

(6) CometBroadcastExchange
Input [1]: [s_store_sk#7]
Arguments: [s_store_sk#7]

(7) CometBroadcastHashJoin
Left output [6]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_promo_sk#4, ss_ext_sales_price#5, ss_sold_date_sk#6]
Right output [1]: [s_store_sk#7]
Arguments: [ss_store_sk#3], [s_store_sk#7], Inner, BuildRight

(8) CometProject
Input [7]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_promo_sk#4, ss_ext_sales_price#5, ss_sold_date_sk#6, s_store_sk#7]
Arguments: [ss_item_sk#1, ss_customer_sk#2, ss_promo_sk#4, ss_ext_sales_price#5, ss_sold_date_sk#6], [ss_item_sk#1, ss_customer_sk#2, ss_promo_sk#4, ss_ext_sales_price#5, ss_sold_date_sk#6]

(9) CometScan parquet spark_catalog.default.promotion
Output [4]: [p_promo_sk#9, p_channel_dmail#10, p_channel_email#11, p_channel_tv#12]
Batched: true
Location [not included in comparison]/{warehouse_dir}/promotion]
PushedFilters: [Or(Or(EqualTo(p_channel_dmail,Y),EqualTo(p_channel_email,Y)),EqualTo(p_channel_tv,Y)), IsNotNull(p_promo_sk)]
ReadSchema: struct<p_promo_sk:int,p_channel_dmail:string,p_channel_email:string,p_channel_tv:string>

(10) CometFilter
Input [4]: [p_promo_sk#9, p_channel_dmail#10, p_channel_email#11, p_channel_tv#12]
Condition : ((((p_channel_dmail#10 = Y) OR (p_channel_email#11 = Y)) OR (p_channel_tv#12 = Y)) AND isnotnull(p_promo_sk#9))

(11) CometProject
Input [4]: [p_promo_sk#9, p_channel_dmail#10, p_channel_email#11, p_channel_tv#12]
Arguments: [p_promo_sk#9], [p_promo_sk#9]

(12) CometBroadcastExchange
Input [1]: [p_promo_sk#9]
Arguments: [p_promo_sk#9]

(13) CometBroadcastHashJoin
Left output [5]: [ss_item_sk#1, ss_customer_sk#2, ss_promo_sk#4, ss_ext_sales_price#5, ss_sold_date_sk#6]
Right output [1]: [p_promo_sk#9]
Arguments: [ss_promo_sk#4], [p_promo_sk#9], Inner, BuildRight

(14) CometProject
Input [6]: [ss_item_sk#1, ss_customer_sk#2, ss_promo_sk#4, ss_ext_sales_price#5, ss_sold_date_sk#6, p_promo_sk#9]
Arguments: [ss_item_sk#1, ss_customer_sk#2, ss_ext_sales_price#5, ss_sold_date_sk#6], [ss_item_sk#1, ss_customer_sk#2, ss_ext_sales_price#5, ss_sold_date_sk#6]

(15) CometScan parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#13, d_year#14, d_moy#15]
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,11), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(16) CometFilter
Input [3]: [d_date_sk#13, d_year#14, d_moy#15]
Condition : ((((isnotnull(d_year#14) AND isnotnull(d_moy#15)) AND (d_year#14 = 1998)) AND (d_moy#15 = 11)) AND isnotnull(d_date_sk#13))

(17) CometProject
Input [3]: [d_date_sk#13, d_year#14, d_moy#15]
Arguments: [d_date_sk#13], [d_date_sk#13]

(18) CometBroadcastExchange
Input [1]: [d_date_sk#13]
Arguments: [d_date_sk#13]

(19) CometBroadcastHashJoin
Left output [4]: [ss_item_sk#1, ss_customer_sk#2, ss_ext_sales_price#5, ss_sold_date_sk#6]
Right output [1]: [d_date_sk#13]
Arguments: [ss_sold_date_sk#6], [d_date_sk#13], Inner, BuildRight

(20) CometProject
Input [5]: [ss_item_sk#1, ss_customer_sk#2, ss_ext_sales_price#5, ss_sold_date_sk#6, d_date_sk#13]
Arguments: [ss_item_sk#1, ss_customer_sk#2, ss_ext_sales_price#5], [ss_item_sk#1, ss_customer_sk#2, ss_ext_sales_price#5]

(21) CometScan parquet spark_catalog.default.customer
Output [2]: [c_customer_sk#16, c_current_addr_sk#17]
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>

(22) CometFilter
Input [2]: [c_customer_sk#16, c_current_addr_sk#17]
Condition : (isnotnull(c_customer_sk#16) AND isnotnull(c_current_addr_sk#17))

(23) CometBroadcastExchange
Input [2]: [c_customer_sk#16, c_current_addr_sk#17]
Arguments: [c_customer_sk#16, c_current_addr_sk#17]

(24) CometBroadcastHashJoin
Left output [3]: [ss_item_sk#1, ss_customer_sk#2, ss_ext_sales_price#5]
Right output [2]: [c_customer_sk#16, c_current_addr_sk#17]
Arguments: [ss_customer_sk#2], [c_customer_sk#16], Inner, BuildRight

(25) CometProject
Input [5]: [ss_item_sk#1, ss_customer_sk#2, ss_ext_sales_price#5, c_customer_sk#16, c_current_addr_sk#17]
Arguments: [ss_item_sk#1, ss_ext_sales_price#5, c_current_addr_sk#17], [ss_item_sk#1, ss_ext_sales_price#5, c_current_addr_sk#17]

(26) CometScan parquet spark_catalog.default.customer_address
Output [2]: [ca_address_sk#18, ca_gmt_offset#19]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_address]
PushedFilters: [IsNotNull(ca_gmt_offset), EqualTo(ca_gmt_offset,-5.00), IsNotNull(ca_address_sk)]
ReadSchema: struct<ca_address_sk:int,ca_gmt_offset:decimal(5,2)>

(27) CometFilter
Input [2]: [ca_address_sk#18, ca_gmt_offset#19]
Condition : ((isnotnull(ca_gmt_offset#19) AND (ca_gmt_offset#19 = -5.00)) AND isnotnull(ca_address_sk#18))

(28) CometProject
Input [2]: [ca_address_sk#18, ca_gmt_offset#19]
Arguments: [ca_address_sk#18], [ca_address_sk#18]

(29) CometBroadcastExchange
Input [1]: [ca_address_sk#18]
Arguments: [ca_address_sk#18]

(30) CometBroadcastHashJoin
Left output [3]: [ss_item_sk#1, ss_ext_sales_price#5, c_current_addr_sk#17]
Right output [1]: [ca_address_sk#18]
Arguments: [c_current_addr_sk#17], [ca_address_sk#18], Inner, BuildRight

(31) CometProject
Input [4]: [ss_item_sk#1, ss_ext_sales_price#5, c_current_addr_sk#17, ca_address_sk#18]
Arguments: [ss_item_sk#1, ss_ext_sales_price#5], [ss_item_sk#1, ss_ext_sales_price#5]

(32) CometScan parquet spark_catalog.default.item
Output [2]: [i_item_sk#20, i_category#21]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_category), EqualTo(i_category,Jewelry                                           ), IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_category:string>

(33) CometFilter
Input [2]: [i_item_sk#20, i_category#21]
Condition : ((isnotnull(i_category#21) AND (i_category#21 = Jewelry                                           )) AND isnotnull(i_item_sk#20))

(34) CometProject
Input [2]: [i_item_sk#20, i_category#21]
Arguments: [i_item_sk#20], [i_item_sk#20]

(35) CometBroadcastExchange
Input [1]: [i_item_sk#20]
Arguments: [i_item_sk#20]

(36) CometBroadcastHashJoin
Left output [2]: [ss_item_sk#1, ss_ext_sales_price#5]
Right output [1]: [i_item_sk#20]
Arguments: [ss_item_sk#1], [i_item_sk#20], Inner, BuildRight

(37) CometProject
Input [3]: [ss_item_sk#1, ss_ext_sales_price#5, i_item_sk#20]
Arguments: [ss_ext_sales_price#5], [ss_ext_sales_price#5]

(38) CometHashAggregate
Input [1]: [ss_ext_sales_price#5]
Keys: []
Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#5))]

(39) CometExchange
Input [1]: [sum#22]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(40) CometHashAggregate
Input [1]: [sum#22]
Keys: []
Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#5))]

(41) ColumnarToRow [codegen id : 2]
Input [1]: [promotions#23]

(42) CometScan parquet spark_catalog.default.store_sales
Output [5]: [ss_item_sk#24, ss_customer_sk#25, ss_store_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#28)]
PushedFilters: [IsNotNull(ss_store_sk), IsNotNull(ss_customer_sk), IsNotNull(ss_item_sk)]
ReadSchema: struct<ss_item_sk:int,ss_customer_sk:int,ss_store_sk:int,ss_ext_sales_price:decimal(7,2)>

(43) CometFilter
Input [5]: [ss_item_sk#24, ss_customer_sk#25, ss_store_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28]
Condition : ((isnotnull(ss_store_sk#26) AND isnotnull(ss_customer_sk#25)) AND isnotnull(ss_item_sk#24))

(44) ReusedExchange [Reuses operator id: 6]
Output [1]: [s_store_sk#29]

(45) CometBroadcastHashJoin
Left output [5]: [ss_item_sk#24, ss_customer_sk#25, ss_store_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28]
Right output [1]: [s_store_sk#29]
Arguments: [ss_store_sk#26], [s_store_sk#29], Inner, BuildRight

(46) CometProject
Input [6]: [ss_item_sk#24, ss_customer_sk#25, ss_store_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28, s_store_sk#29]
Arguments: [ss_item_sk#24, ss_customer_sk#25, ss_ext_sales_price#27, ss_sold_date_sk#28], [ss_item_sk#24, ss_customer_sk#25, ss_ext_sales_price#27, ss_sold_date_sk#28]

(47) ReusedExchange [Reuses operator id: 18]
Output [1]: [d_date_sk#30]

(48) CometBroadcastHashJoin
Left output [4]: [ss_item_sk#24, ss_customer_sk#25, ss_ext_sales_price#27, ss_sold_date_sk#28]
Right output [1]: [d_date_sk#30]
Arguments: [ss_sold_date_sk#28], [d_date_sk#30], Inner, BuildRight

(49) CometProject
Input [5]: [ss_item_sk#24, ss_customer_sk#25, ss_ext_sales_price#27, ss_sold_date_sk#28, d_date_sk#30]
Arguments: [ss_item_sk#24, ss_customer_sk#25, ss_ext_sales_price#27], [ss_item_sk#24, ss_customer_sk#25, ss_ext_sales_price#27]

(50) ReusedExchange [Reuses operator id: 23]
Output [2]: [c_customer_sk#31, c_current_addr_sk#32]

(51) CometBroadcastHashJoin
Left output [3]: [ss_item_sk#24, ss_customer_sk#25, ss_ext_sales_price#27]
Right output [2]: [c_customer_sk#31, c_current_addr_sk#32]
Arguments: [ss_customer_sk#25], [c_customer_sk#31], Inner, BuildRight

(52) CometProject
Input [5]: [ss_item_sk#24, ss_customer_sk#25, ss_ext_sales_price#27, c_customer_sk#31, c_current_addr_sk#32]
Arguments: [ss_item_sk#24, ss_ext_sales_price#27, c_current_addr_sk#32], [ss_item_sk#24, ss_ext_sales_price#27, c_current_addr_sk#32]

(53) ReusedExchange [Reuses operator id: 29]
Output [1]: [ca_address_sk#33]

(54) CometBroadcastHashJoin
Left output [3]: [ss_item_sk#24, ss_ext_sales_price#27, c_current_addr_sk#32]
Right output [1]: [ca_address_sk#33]
Arguments: [c_current_addr_sk#32], [ca_address_sk#33], Inner, BuildRight

(55) CometProject
Input [4]: [ss_item_sk#24, ss_ext_sales_price#27, c_current_addr_sk#32, ca_address_sk#33]
Arguments: [ss_item_sk#24, ss_ext_sales_price#27], [ss_item_sk#24, ss_ext_sales_price#27]

(56) ReusedExchange [Reuses operator id: 35]
Output [1]: [i_item_sk#34]

(57) CometBroadcastHashJoin
Left output [2]: [ss_item_sk#24, ss_ext_sales_price#27]
Right output [1]: [i_item_sk#34]
Arguments: [ss_item_sk#24], [i_item_sk#34], Inner, BuildRight

(58) CometProject
Input [3]: [ss_item_sk#24, ss_ext_sales_price#27, i_item_sk#34]
Arguments: [ss_ext_sales_price#27], [ss_ext_sales_price#27]

(59) CometHashAggregate
Input [1]: [ss_ext_sales_price#27]
Keys: []
Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#27))]

(60) CometExchange
Input [1]: [sum#35]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2]

(61) CometHashAggregate
Input [1]: [sum#35]
Keys: []
Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#27))]

(62) ColumnarToRow [codegen id : 1]
Input [1]: [total#36]

(63) BroadcastExchange
Input [1]: [total#36]
Arguments: IdentityBroadcastMode, [plan_id=3]

(64) BroadcastNestedLoopJoin [codegen id : 2]
Join type: Inner
Join condition: None

(65) Project [codegen id : 2]
Output [3]: [promotions#23, total#36, ((cast(promotions#23 as decimal(15,4)) / cast(total#36 as decimal(15,4))) * 100) AS ((CAST(promotions AS DECIMAL(15,4)) / CAST(total AS DECIMAL(15,4))) * 100)#37]
Input [2]: [promotions#23, total#36]

