== Physical Plan ==
TakeOrderedAndProject (45)
+- * HashAggregate (44)
   +- Exchange (43)
      +- * HashAggregate (42)
         +- * ColumnarToRow (41)
            +- CometProject (40)
               +- CometBroadcastHashJoin (39)
                  :- CometProject (35)
                  :  +- CometBroadcastHashJoin (34)
                  :     :- CometProject (29)
                  :     :  +- CometBroadcastHashJoin (28)
                  :     :     :- CometProject (23)
                  :     :     :  +- CometBroadcastHashJoin (22)
                  :     :     :     :- CometProject (18)
                  :     :     :     :  +- CometBroadcastHashJoin (17)
                  :     :     :     :     :- CometProject (13)
                  :     :     :     :     :  +- CometBroadcastHashJoin (12)
                  :     :     :     :     :     :- CometProject (8)
                  :     :     :     :     :     :  +- CometBroadcastHashJoin (7)
                  :     :     :     :     :     :     :- CometBroadcastExchange (3)
                  :     :     :     :     :     :     :  +- CometFilter (2)
                  :     :     :     :     :     :     :     +- CometScan parquet spark_catalog.default.web_sales (1)
                  :     :     :     :     :     :     +- CometProject (6)
                  :     :     :     :     :     :        +- CometFilter (5)
                  :     :     :     :     :     :           +- CometScan parquet spark_catalog.default.web_returns (4)
                  :     :     :     :     :     +- CometBroadcastExchange (11)
                  :     :     :     :     :        +- CometFilter (10)
                  :     :     :     :     :           +- CometScan parquet spark_catalog.default.web_page (9)
                  :     :     :     :     +- CometBroadcastExchange (16)
                  :     :     :     :        +- CometFilter (15)
                  :     :     :     :           +- CometScan parquet spark_catalog.default.customer_demographics (14)
                  :     :     :     +- CometBroadcastExchange (21)
                  :     :     :        +- CometFilter (20)
                  :     :     :           +- CometScan parquet spark_catalog.default.customer_demographics (19)
                  :     :     +- CometBroadcastExchange (27)
                  :     :        +- CometProject (26)
                  :     :           +- CometFilter (25)
                  :     :              +- CometScan parquet spark_catalog.default.customer_address (24)
                  :     +- CometBroadcastExchange (33)
                  :        +- CometProject (32)
                  :           +- CometFilter (31)
                  :              +- CometScan parquet spark_catalog.default.date_dim (30)
                  +- CometBroadcastExchange (38)
                     +- CometFilter (37)
                        +- CometScan parquet spark_catalog.default.reason (36)


(1) CometScan parquet spark_catalog.default.web_sales
Output [7]: [ws_item_sk#1, ws_web_page_sk#2, ws_order_number#3, ws_quantity#4, ws_sales_price#5, ws_net_profit#6, ws_sold_date_sk#7]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#7), dynamicpruningexpression(ws_sold_date_sk#7 IN dynamicpruning#8)]
PushedFilters: [IsNotNull(ws_item_sk), IsNotNull(ws_order_number), IsNotNull(ws_web_page_sk), Or(Or(And(GreaterThanOrEqual(ws_sales_price,100.00),LessThanOrEqual(ws_sales_price,150.00)),And(GreaterThanOrEqual(ws_sales_price,50.00),LessThanOrEqual(ws_sales_price,100.00))),And(GreaterThanOrEqual(ws_sales_price,150.00),LessThanOrEqual(ws_sales_price,200.00))), Or(Or(And(GreaterThanOrEqual(ws_net_profit,100.00),LessThanOrEqual(ws_net_profit,200.00)),And(GreaterThanOrEqual(ws_net_profit,150.00),LessThanOrEqual(ws_net_profit,300.00))),And(GreaterThanOrEqual(ws_net_profit,50.00),LessThanOrEqual(ws_net_profit,250.00)))]
ReadSchema: struct<ws_item_sk:int,ws_web_page_sk:int,ws_order_number:int,ws_quantity:int,ws_sales_price:decimal(7,2),ws_net_profit:decimal(7,2)>

(2) CometFilter
Input [7]: [ws_item_sk#1, ws_web_page_sk#2, ws_order_number#3, ws_quantity#4, ws_sales_price#5, ws_net_profit#6, ws_sold_date_sk#7]
Condition : ((((isnotnull(ws_item_sk#1) AND isnotnull(ws_order_number#3)) AND isnotnull(ws_web_page_sk#2)) AND ((((ws_sales_price#5 >= 100.00) AND (ws_sales_price#5 <= 150.00)) OR ((ws_sales_price#5 >= 50.00) AND (ws_sales_price#5 <= 100.00))) OR ((ws_sales_price#5 >= 150.00) AND (ws_sales_price#5 <= 200.00)))) AND ((((ws_net_profit#6 >= 100.00) AND (ws_net_profit#6 <= 200.00)) OR ((ws_net_profit#6 >= 150.00) AND (ws_net_profit#6 <= 300.00))) OR ((ws_net_profit#6 >= 50.00) AND (ws_net_profit#6 <= 250.00))))

(3) CometBroadcastExchange
Input [7]: [ws_item_sk#1, ws_web_page_sk#2, ws_order_number#3, ws_quantity#4, ws_sales_price#5, ws_net_profit#6, ws_sold_date_sk#7]
Arguments: [ws_item_sk#1, ws_web_page_sk#2, ws_order_number#3, ws_quantity#4, ws_sales_price#5, ws_net_profit#6, ws_sold_date_sk#7]

(4) CometScan parquet spark_catalog.default.web_returns
Output [9]: [wr_item_sk#9, wr_refunded_cdemo_sk#10, wr_refunded_addr_sk#11, wr_returning_cdemo_sk#12, wr_reason_sk#13, wr_order_number#14, wr_fee#15, wr_refunded_cash#16, wr_returned_date_sk#17]
Batched: true
Location [not included in comparison]/{warehouse_dir}/web_returns]
PushedFilters: [IsNotNull(wr_item_sk), IsNotNull(wr_order_number), IsNotNull(wr_refunded_cdemo_sk), IsNotNull(wr_returning_cdemo_sk), IsNotNull(wr_refunded_addr_sk), IsNotNull(wr_reason_sk)]
ReadSchema: struct<wr_item_sk:int,wr_refunded_cdemo_sk:int,wr_refunded_addr_sk:int,wr_returning_cdemo_sk:int,wr_reason_sk:int,wr_order_number:int,wr_fee:decimal(7,2),wr_refunded_cash:decimal(7,2)>

(5) CometFilter
Input [9]: [wr_item_sk#9, wr_refunded_cdemo_sk#10, wr_refunded_addr_sk#11, wr_returning_cdemo_sk#12, wr_reason_sk#13, wr_order_number#14, wr_fee#15, wr_refunded_cash#16, wr_returned_date_sk#17]
Condition : (((((isnotnull(wr_item_sk#9) AND isnotnull(wr_order_number#14)) AND isnotnull(wr_refunded_cdemo_sk#10)) AND isnotnull(wr_returning_cdemo_sk#12)) AND isnotnull(wr_refunded_addr_sk#11)) AND isnotnull(wr_reason_sk#13))

(6) CometProject
Input [9]: [wr_item_sk#9, wr_refunded_cdemo_sk#10, wr_refunded_addr_sk#11, wr_returning_cdemo_sk#12, wr_reason_sk#13, wr_order_number#14, wr_fee#15, wr_refunded_cash#16, wr_returned_date_sk#17]
Arguments: [wr_item_sk#9, wr_refunded_cdemo_sk#10, wr_refunded_addr_sk#11, wr_returning_cdemo_sk#12, wr_reason_sk#13, wr_order_number#14, wr_fee#15, wr_refunded_cash#16], [wr_item_sk#9, wr_refunded_cdemo_sk#10, wr_refunded_addr_sk#11, wr_returning_cdemo_sk#12, wr_reason_sk#13, wr_order_number#14, wr_fee#15, wr_refunded_cash#16]

(7) CometBroadcastHashJoin
Left output [7]: [ws_item_sk#1, ws_web_page_sk#2, ws_order_number#3, ws_quantity#4, ws_sales_price#5, ws_net_profit#6, ws_sold_date_sk#7]
Right output [8]: [wr_item_sk#9, wr_refunded_cdemo_sk#10, wr_refunded_addr_sk#11, wr_returning_cdemo_sk#12, wr_reason_sk#13, wr_order_number#14, wr_fee#15, wr_refunded_cash#16]
Arguments: [ws_item_sk#1, ws_order_number#3], [wr_item_sk#9, wr_order_number#14], Inner, BuildLeft

(8) CometProject
Input [15]: [ws_item_sk#1, ws_web_page_sk#2, ws_order_number#3, ws_quantity#4, ws_sales_price#5, ws_net_profit#6, ws_sold_date_sk#7, wr_item_sk#9, wr_refunded_cdemo_sk#10, wr_refunded_addr_sk#11, wr_returning_cdemo_sk#12, wr_reason_sk#13, wr_order_number#14, wr_fee#15, wr_refunded_cash#16]
Arguments: [ws_web_page_sk#2, ws_quantity#4, ws_sales_price#5, ws_net_profit#6, ws_sold_date_sk#7, wr_refunded_cdemo_sk#10, wr_refunded_addr_sk#11, wr_returning_cdemo_sk#12, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16], [ws_web_page_sk#2, ws_quantity#4, ws_sales_price#5, ws_net_profit#6, ws_sold_date_sk#7, wr_refunded_cdemo_sk#10, wr_refunded_addr_sk#11, wr_returning_cdemo_sk#12, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16]

(9) CometScan parquet spark_catalog.default.web_page
Output [1]: [wp_web_page_sk#18]
Batched: true
Location [not included in comparison]/{warehouse_dir}/web_page]
PushedFilters: [IsNotNull(wp_web_page_sk)]
ReadSchema: struct<wp_web_page_sk:int>

(10) CometFilter
Input [1]: [wp_web_page_sk#18]
Condition : isnotnull(wp_web_page_sk#18)

(11) CometBroadcastExchange
Input [1]: [wp_web_page_sk#18]
Arguments: [wp_web_page_sk#18]

(12) CometBroadcastHashJoin
Left output [11]: [ws_web_page_sk#2, ws_quantity#4, ws_sales_price#5, ws_net_profit#6, ws_sold_date_sk#7, wr_refunded_cdemo_sk#10, wr_refunded_addr_sk#11, wr_returning_cdemo_sk#12, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16]
Right output [1]: [wp_web_page_sk#18]
Arguments: [ws_web_page_sk#2], [wp_web_page_sk#18], Inner, BuildRight

(13) CometProject
Input [12]: [ws_web_page_sk#2, ws_quantity#4, ws_sales_price#5, ws_net_profit#6, ws_sold_date_sk#7, wr_refunded_cdemo_sk#10, wr_refunded_addr_sk#11, wr_returning_cdemo_sk#12, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16, wp_web_page_sk#18]
Arguments: [ws_quantity#4, ws_sales_price#5, ws_net_profit#6, ws_sold_date_sk#7, wr_refunded_cdemo_sk#10, wr_refunded_addr_sk#11, wr_returning_cdemo_sk#12, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16], [ws_quantity#4, ws_sales_price#5, ws_net_profit#6, ws_sold_date_sk#7, wr_refunded_cdemo_sk#10, wr_refunded_addr_sk#11, wr_returning_cdemo_sk#12, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16]

(14) CometScan parquet spark_catalog.default.customer_demographics
Output [3]: [cd_demo_sk#19, cd_marital_status#20, cd_education_status#21]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_demographics]
PushedFilters: [IsNotNull(cd_demo_sk), IsNotNull(cd_marital_status), IsNotNull(cd_education_status), Or(Or(And(EqualTo(cd_marital_status,M),EqualTo(cd_education_status,Advanced Degree     )),And(EqualTo(cd_marital_status,S),EqualTo(cd_education_status,College             ))),And(EqualTo(cd_marital_status,W),EqualTo(cd_education_status,2 yr Degree         )))]
ReadSchema: struct<cd_demo_sk:int,cd_marital_status:string,cd_education_status:string>

(15) CometFilter
Input [3]: [cd_demo_sk#19, cd_marital_status#20, cd_education_status#21]
Condition : (((isnotnull(cd_demo_sk#19) AND isnotnull(cd_marital_status#20)) AND isnotnull(cd_education_status#21)) AND ((((cd_marital_status#20 = M) AND (cd_education_status#21 = Advanced Degree     )) OR ((cd_marital_status#20 = S) AND (cd_education_status#21 = College             ))) OR ((cd_marital_status#20 = W) AND (cd_education_status#21 = 2 yr Degree         ))))

(16) CometBroadcastExchange
Input [3]: [cd_demo_sk#19, cd_marital_status#20, cd_education_status#21]
Arguments: [cd_demo_sk#19, cd_marital_status#20, cd_education_status#21]

(17) CometBroadcastHashJoin
Left output [10]: [ws_quantity#4, ws_sales_price#5, ws_net_profit#6, ws_sold_date_sk#7, wr_refunded_cdemo_sk#10, wr_refunded_addr_sk#11, wr_returning_cdemo_sk#12, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16]
Right output [3]: [cd_demo_sk#19, cd_marital_status#20, cd_education_status#21]
Arguments: [wr_refunded_cdemo_sk#10], [cd_demo_sk#19], Inner, ((((((cd_marital_status#20 = M) AND (cd_education_status#21 = Advanced Degree     )) AND (ws_sales_price#5 >= 100.00)) AND (ws_sales_price#5 <= 150.00)) OR ((((cd_marital_status#20 = S) AND (cd_education_status#21 = College             )) AND (ws_sales_price#5 >= 50.00)) AND (ws_sales_price#5 <= 100.00))) OR ((((cd_marital_status#20 = W) AND (cd_education_status#21 = 2 yr Degree         )) AND (ws_sales_price#5 >= 150.00)) AND (ws_sales_price#5 <= 200.00))), BuildRight

(18) CometProject
Input [13]: [ws_quantity#4, ws_sales_price#5, ws_net_profit#6, ws_sold_date_sk#7, wr_refunded_cdemo_sk#10, wr_refunded_addr_sk#11, wr_returning_cdemo_sk#12, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16, cd_demo_sk#19, cd_marital_status#20, cd_education_status#21]
Arguments: [ws_quantity#4, ws_net_profit#6, ws_sold_date_sk#7, wr_refunded_addr_sk#11, wr_returning_cdemo_sk#12, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16, cd_marital_status#20, cd_education_status#21], [ws_quantity#4, ws_net_profit#6, ws_sold_date_sk#7, wr_refunded_addr_sk#11, wr_returning_cdemo_sk#12, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16, cd_marital_status#20, cd_education_status#21]

(19) CometScan parquet spark_catalog.default.customer_demographics
Output [3]: [cd_demo_sk#22, cd_marital_status#23, cd_education_status#24]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_demographics]
PushedFilters: [IsNotNull(cd_demo_sk), IsNotNull(cd_marital_status), IsNotNull(cd_education_status)]
ReadSchema: struct<cd_demo_sk:int,cd_marital_status:string,cd_education_status:string>

(20) CometFilter
Input [3]: [cd_demo_sk#22, cd_marital_status#23, cd_education_status#24]
Condition : ((isnotnull(cd_demo_sk#22) AND isnotnull(cd_marital_status#23)) AND isnotnull(cd_education_status#24))

(21) CometBroadcastExchange
Input [3]: [cd_demo_sk#22, cd_marital_status#23, cd_education_status#24]
Arguments: [cd_demo_sk#22, cd_marital_status#23, cd_education_status#24]

(22) CometBroadcastHashJoin
Left output [10]: [ws_quantity#4, ws_net_profit#6, ws_sold_date_sk#7, wr_refunded_addr_sk#11, wr_returning_cdemo_sk#12, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16, cd_marital_status#20, cd_education_status#21]
Right output [3]: [cd_demo_sk#22, cd_marital_status#23, cd_education_status#24]
Arguments: [wr_returning_cdemo_sk#12, cd_marital_status#20, cd_education_status#21], [cd_demo_sk#22, cd_marital_status#23, cd_education_status#24], Inner, BuildRight

(23) CometProject
Input [13]: [ws_quantity#4, ws_net_profit#6, ws_sold_date_sk#7, wr_refunded_addr_sk#11, wr_returning_cdemo_sk#12, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16, cd_marital_status#20, cd_education_status#21, cd_demo_sk#22, cd_marital_status#23, cd_education_status#24]
Arguments: [ws_quantity#4, ws_net_profit#6, ws_sold_date_sk#7, wr_refunded_addr_sk#11, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16], [ws_quantity#4, ws_net_profit#6, ws_sold_date_sk#7, wr_refunded_addr_sk#11, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16]

(24) CometScan parquet spark_catalog.default.customer_address
Output [3]: [ca_address_sk#25, ca_state#26, ca_country#27]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_address]
PushedFilters: [IsNotNull(ca_country), EqualTo(ca_country,United States), IsNotNull(ca_address_sk), Or(Or(In(ca_state, [IN,NJ,OH]),In(ca_state, [CT,KY,WI])),In(ca_state, [AR,IA,LA]))]
ReadSchema: struct<ca_address_sk:int,ca_state:string,ca_country:string>

(25) CometFilter
Input [3]: [ca_address_sk#25, ca_state#26, ca_country#27]
Condition : (((isnotnull(ca_country#27) AND (ca_country#27 = United States)) AND isnotnull(ca_address_sk#25)) AND ((ca_state#26 IN (IN,OH,NJ) OR ca_state#26 IN (WI,CT,KY)) OR ca_state#26 IN (LA,IA,AR)))

(26) CometProject
Input [3]: [ca_address_sk#25, ca_state#26, ca_country#27]
Arguments: [ca_address_sk#25, ca_state#26], [ca_address_sk#25, ca_state#26]

(27) CometBroadcastExchange
Input [2]: [ca_address_sk#25, ca_state#26]
Arguments: [ca_address_sk#25, ca_state#26]

(28) CometBroadcastHashJoin
Left output [7]: [ws_quantity#4, ws_net_profit#6, ws_sold_date_sk#7, wr_refunded_addr_sk#11, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16]
Right output [2]: [ca_address_sk#25, ca_state#26]
Arguments: [wr_refunded_addr_sk#11], [ca_address_sk#25], Inner, ((((ca_state#26 IN (IN,OH,NJ) AND (ws_net_profit#6 >= 100.00)) AND (ws_net_profit#6 <= 200.00)) OR ((ca_state#26 IN (WI,CT,KY) AND (ws_net_profit#6 >= 150.00)) AND (ws_net_profit#6 <= 300.00))) OR ((ca_state#26 IN (LA,IA,AR) AND (ws_net_profit#6 >= 50.00)) AND (ws_net_profit#6 <= 250.00))), BuildRight

(29) CometProject
Input [9]: [ws_quantity#4, ws_net_profit#6, ws_sold_date_sk#7, wr_refunded_addr_sk#11, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16, ca_address_sk#25, ca_state#26]
Arguments: [ws_quantity#4, ws_sold_date_sk#7, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16], [ws_quantity#4, ws_sold_date_sk#7, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16]

(30) CometScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#28, d_year#29]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2000), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(31) CometFilter
Input [2]: [d_date_sk#28, d_year#29]
Condition : ((isnotnull(d_year#29) AND (d_year#29 = 2000)) AND isnotnull(d_date_sk#28))

(32) CometProject
Input [2]: [d_date_sk#28, d_year#29]
Arguments: [d_date_sk#28], [d_date_sk#28]

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

(34) CometBroadcastHashJoin
Left output [5]: [ws_quantity#4, ws_sold_date_sk#7, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16]
Right output [1]: [d_date_sk#28]
Arguments: [ws_sold_date_sk#7], [d_date_sk#28], Inner, BuildRight

(35) CometProject
Input [6]: [ws_quantity#4, ws_sold_date_sk#7, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16, d_date_sk#28]
Arguments: [ws_quantity#4, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16], [ws_quantity#4, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16]

(36) CometScan parquet spark_catalog.default.reason
Output [2]: [r_reason_sk#30, r_reason_desc#31]
Batched: true
Location [not included in comparison]/{warehouse_dir}/reason]
PushedFilters: [IsNotNull(r_reason_sk)]
ReadSchema: struct<r_reason_sk:int,r_reason_desc:string>

(37) CometFilter
Input [2]: [r_reason_sk#30, r_reason_desc#31]
Condition : isnotnull(r_reason_sk#30)

(38) CometBroadcastExchange
Input [2]: [r_reason_sk#30, r_reason_desc#31]
Arguments: [r_reason_sk#30, r_reason_desc#31]

(39) CometBroadcastHashJoin
Left output [4]: [ws_quantity#4, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16]
Right output [2]: [r_reason_sk#30, r_reason_desc#31]
Arguments: [wr_reason_sk#13], [r_reason_sk#30], Inner, BuildRight

(40) CometProject
Input [6]: [ws_quantity#4, wr_reason_sk#13, wr_fee#15, wr_refunded_cash#16, r_reason_sk#30, r_reason_desc#31]
Arguments: [ws_quantity#4, wr_fee#15, wr_refunded_cash#16, r_reason_desc#31], [ws_quantity#4, wr_fee#15, wr_refunded_cash#16, r_reason_desc#31]

(41) ColumnarToRow [codegen id : 1]
Input [4]: [ws_quantity#4, wr_fee#15, wr_refunded_cash#16, r_reason_desc#31]

(42) HashAggregate [codegen id : 1]
Input [4]: [ws_quantity#4, wr_fee#15, wr_refunded_cash#16, r_reason_desc#31]
Keys [1]: [r_reason_desc#31]
Functions [3]: [partial_avg(ws_quantity#4), partial_avg(UnscaledValue(wr_refunded_cash#16)), partial_avg(UnscaledValue(wr_fee#15))]
Aggregate Attributes [6]: [sum#32, count#33, sum#34, count#35, sum#36, count#37]
Results [7]: [r_reason_desc#31, sum#38, count#39, sum#40, count#41, sum#42, count#43]

(43) Exchange
Input [7]: [r_reason_desc#31, sum#38, count#39, sum#40, count#41, sum#42, count#43]
Arguments: hashpartitioning(r_reason_desc#31, 5), ENSURE_REQUIREMENTS, [plan_id=1]

(44) HashAggregate [codegen id : 2]
Input [7]: [r_reason_desc#31, sum#38, count#39, sum#40, count#41, sum#42, count#43]
Keys [1]: [r_reason_desc#31]
Functions [3]: [avg(ws_quantity#4), avg(UnscaledValue(wr_refunded_cash#16)), avg(UnscaledValue(wr_fee#15))]
Aggregate Attributes [3]: [avg(ws_quantity#4)#44, avg(UnscaledValue(wr_refunded_cash#16))#45, avg(UnscaledValue(wr_fee#15))#46]
Results [4]: [substr(r_reason_desc#31, 1, 20) AS substr(r_reason_desc, 1, 20)#47, avg(ws_quantity#4)#44 AS avg(ws_quantity)#48, cast((avg(UnscaledValue(wr_refunded_cash#16))#45 / 100.0) as decimal(11,6)) AS avg(wr_refunded_cash)#49, cast((avg(UnscaledValue(wr_fee#15))#46 / 100.0) as decimal(11,6)) AS avg(wr_fee)#50]

(45) TakeOrderedAndProject
Input [4]: [substr(r_reason_desc, 1, 20)#47, avg(ws_quantity)#48, avg(wr_refunded_cash)#49, avg(wr_fee)#50]
Arguments: 100, [substr(r_reason_desc, 1, 20)#47 ASC NULLS FIRST, avg(ws_quantity)#48 ASC NULLS FIRST, avg(wr_refunded_cash)#49 ASC NULLS FIRST, avg(wr_fee)#50 ASC NULLS FIRST], [substr(r_reason_desc, 1, 20)#47, avg(ws_quantity)#48, avg(wr_refunded_cash)#49, avg(wr_fee)#50]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#7 IN dynamicpruning#8
BroadcastExchange (50)
+- * ColumnarToRow (49)
   +- CometProject (48)
      +- CometFilter (47)
         +- CometScan parquet spark_catalog.default.date_dim (46)


(46) CometScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#28, d_year#29]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2000), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(47) CometFilter
Input [2]: [d_date_sk#28, d_year#29]
Condition : ((isnotnull(d_year#29) AND (d_year#29 = 2000)) AND isnotnull(d_date_sk#28))

(48) CometProject
Input [2]: [d_date_sk#28, d_year#29]
Arguments: [d_date_sk#28], [d_date_sk#28]

(49) ColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#28]

(50) BroadcastExchange
Input [1]: [d_date_sk#28]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]


