== Physical Plan ==
TakeOrderedAndProject (30)
+- * HashAggregate (29)
   +- * ColumnarToRow (28)
      +- CometColumnarExchange (27)
         +- RowToColumnar (26)
            +- * HashAggregate (25)
               +- * ColumnarToRow (24)
                  +- CometProject (23)
                     +- CometBroadcastHashJoin (22)
                        :- CometProject (17)
                        :  +- CometBroadcastHashJoin (16)
                        :     :- CometProject (12)
                        :     :  +- CometBroadcastHashJoin (11)
                        :     :     :- CometProject (7)
                        :     :     :  +- CometBroadcastHashJoin (6)
                        :     :     :     :- CometFilter (2)
                        :     :     :     :  +- CometScan parquet spark_catalog.default.web_sales (1)
                        :     :     :     +- CometBroadcastExchange (5)
                        :     :     :        +- CometFilter (4)
                        :     :     :           +- CometScan parquet spark_catalog.default.warehouse (3)
                        :     :     +- CometBroadcastExchange (10)
                        :     :        +- CometFilter (9)
                        :     :           +- CometScan parquet spark_catalog.default.ship_mode (8)
                        :     +- CometBroadcastExchange (15)
                        :        +- CometFilter (14)
                        :           +- CometScan parquet spark_catalog.default.web_site (13)
                        +- CometBroadcastExchange (21)
                           +- CometProject (20)
                              +- CometFilter (19)
                                 +- CometScan parquet spark_catalog.default.date_dim (18)


(1) Scan parquet spark_catalog.default.web_sales
Output [5]: [ws_ship_date_sk#1, ws_web_site_sk#2, ws_ship_mode_sk#3, ws_warehouse_sk#4, ws_sold_date_sk#5]
Batched: true
Location [not included in comparison]/{warehouse_dir}/web_sales]
PushedFilters: [IsNotNull(ws_warehouse_sk), IsNotNull(ws_ship_mode_sk), IsNotNull(ws_web_site_sk), IsNotNull(ws_ship_date_sk)]
ReadSchema: struct<ws_ship_date_sk:int,ws_web_site_sk:int,ws_ship_mode_sk:int,ws_warehouse_sk:int>

(2) CometFilter
Input [5]: [ws_ship_date_sk#1, ws_web_site_sk#2, ws_ship_mode_sk#3, ws_warehouse_sk#4, ws_sold_date_sk#5]
Condition : (((isnotnull(ws_warehouse_sk#4) AND isnotnull(ws_ship_mode_sk#3)) AND isnotnull(ws_web_site_sk#2)) AND isnotnull(ws_ship_date_sk#1))

(3) Scan parquet spark_catalog.default.warehouse
Output [2]: [w_warehouse_sk#6, w_warehouse_name#7]
Batched: true
Location [not included in comparison]/{warehouse_dir}/warehouse]
PushedFilters: [IsNotNull(w_warehouse_sk)]
ReadSchema: struct<w_warehouse_sk:int,w_warehouse_name:string>

(4) CometFilter
Input [2]: [w_warehouse_sk#6, w_warehouse_name#7]
Condition : isnotnull(w_warehouse_sk#6)

(5) CometBroadcastExchange
Input [2]: [w_warehouse_sk#6, w_warehouse_name#7]
Arguments: [w_warehouse_sk#6, w_warehouse_name#7]

(6) CometBroadcastHashJoin
Left output [5]: [ws_ship_date_sk#1, ws_web_site_sk#2, ws_ship_mode_sk#3, ws_warehouse_sk#4, ws_sold_date_sk#5]
Right output [2]: [w_warehouse_sk#6, w_warehouse_name#7]
Arguments: [ws_warehouse_sk#4], [w_warehouse_sk#6], Inner, BuildRight

(7) CometProject
Input [7]: [ws_ship_date_sk#1, ws_web_site_sk#2, ws_ship_mode_sk#3, ws_warehouse_sk#4, ws_sold_date_sk#5, w_warehouse_sk#6, w_warehouse_name#7]
Arguments: [ws_ship_date_sk#1, ws_web_site_sk#2, ws_ship_mode_sk#3, ws_sold_date_sk#5, w_warehouse_name#7], [ws_ship_date_sk#1, ws_web_site_sk#2, ws_ship_mode_sk#3, ws_sold_date_sk#5, w_warehouse_name#7]

(8) Scan parquet spark_catalog.default.ship_mode
Output [2]: [sm_ship_mode_sk#8, sm_type#9]
Batched: true
Location [not included in comparison]/{warehouse_dir}/ship_mode]
PushedFilters: [IsNotNull(sm_ship_mode_sk)]
ReadSchema: struct<sm_ship_mode_sk:int,sm_type:string>

(9) CometFilter
Input [2]: [sm_ship_mode_sk#8, sm_type#9]
Condition : isnotnull(sm_ship_mode_sk#8)

(10) CometBroadcastExchange
Input [2]: [sm_ship_mode_sk#8, sm_type#9]
Arguments: [sm_ship_mode_sk#8, sm_type#9]

(11) CometBroadcastHashJoin
Left output [5]: [ws_ship_date_sk#1, ws_web_site_sk#2, ws_ship_mode_sk#3, ws_sold_date_sk#5, w_warehouse_name#7]
Right output [2]: [sm_ship_mode_sk#8, sm_type#9]
Arguments: [ws_ship_mode_sk#3], [sm_ship_mode_sk#8], Inner, BuildRight

(12) CometProject
Input [7]: [ws_ship_date_sk#1, ws_web_site_sk#2, ws_ship_mode_sk#3, ws_sold_date_sk#5, w_warehouse_name#7, sm_ship_mode_sk#8, sm_type#9]
Arguments: [ws_ship_date_sk#1, ws_web_site_sk#2, ws_sold_date_sk#5, w_warehouse_name#7, sm_type#9], [ws_ship_date_sk#1, ws_web_site_sk#2, ws_sold_date_sk#5, w_warehouse_name#7, sm_type#9]

(13) Scan parquet spark_catalog.default.web_site
Output [2]: [web_site_sk#10, web_name#11]
Batched: true
Location [not included in comparison]/{warehouse_dir}/web_site]
PushedFilters: [IsNotNull(web_site_sk)]
ReadSchema: struct<web_site_sk:int,web_name:string>

(14) CometFilter
Input [2]: [web_site_sk#10, web_name#11]
Condition : isnotnull(web_site_sk#10)

(15) CometBroadcastExchange
Input [2]: [web_site_sk#10, web_name#11]
Arguments: [web_site_sk#10, web_name#11]

(16) CometBroadcastHashJoin
Left output [5]: [ws_ship_date_sk#1, ws_web_site_sk#2, ws_sold_date_sk#5, w_warehouse_name#7, sm_type#9]
Right output [2]: [web_site_sk#10, web_name#11]
Arguments: [ws_web_site_sk#2], [web_site_sk#10], Inner, BuildRight

(17) CometProject
Input [7]: [ws_ship_date_sk#1, ws_web_site_sk#2, ws_sold_date_sk#5, w_warehouse_name#7, sm_type#9, web_site_sk#10, web_name#11]
Arguments: [ws_ship_date_sk#1, ws_sold_date_sk#5, w_warehouse_name#7, sm_type#9, web_name#11], [ws_ship_date_sk#1, ws_sold_date_sk#5, w_warehouse_name#7, sm_type#9, web_name#11]

(18) Scan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#12, d_month_seq#13]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_month_seq:int>

(19) CometFilter
Input [2]: [d_date_sk#12, d_month_seq#13]
Condition : (((isnotnull(d_month_seq#13) AND (d_month_seq#13 >= 1200)) AND (d_month_seq#13 <= 1211)) AND isnotnull(d_date_sk#12))

(20) CometProject
Input [2]: [d_date_sk#12, d_month_seq#13]
Arguments: [d_date_sk#12], [d_date_sk#12]

(21) CometBroadcastExchange
Input [1]: [d_date_sk#12]
Arguments: [d_date_sk#12]

(22) CometBroadcastHashJoin
Left output [5]: [ws_ship_date_sk#1, ws_sold_date_sk#5, w_warehouse_name#7, sm_type#9, web_name#11]
Right output [1]: [d_date_sk#12]
Arguments: [ws_ship_date_sk#1], [d_date_sk#12], Inner, BuildRight

(23) CometProject
Input [6]: [ws_ship_date_sk#1, ws_sold_date_sk#5, w_warehouse_name#7, sm_type#9, web_name#11, d_date_sk#12]
Arguments: [ws_ship_date_sk#1, ws_sold_date_sk#5, sm_type#9, web_name#11, _groupingexpression#14], [ws_ship_date_sk#1, ws_sold_date_sk#5, sm_type#9, web_name#11, substr(w_warehouse_name#7, 1, 20) AS _groupingexpression#14]

(24) ColumnarToRow [codegen id : 1]
Input [5]: [ws_ship_date_sk#1, ws_sold_date_sk#5, sm_type#9, web_name#11, _groupingexpression#14]

(25) HashAggregate [codegen id : 1]
Input [5]: [ws_ship_date_sk#1, ws_sold_date_sk#5, sm_type#9, web_name#11, _groupingexpression#14]
Keys [3]: [_groupingexpression#14, sm_type#9, web_name#11]
Functions [5]: [partial_sum(CASE WHEN ((ws_ship_date_sk#1 - ws_sold_date_sk#5) <= 30) THEN 1 ELSE 0 END), partial_sum(CASE WHEN (((ws_ship_date_sk#1 - ws_sold_date_sk#5) > 30) AND ((ws_ship_date_sk#1 - ws_sold_date_sk#5) <= 60)) THEN 1 ELSE 0 END), partial_sum(CASE WHEN (((ws_ship_date_sk#1 - ws_sold_date_sk#5) > 60) AND ((ws_ship_date_sk#1 - ws_sold_date_sk#5) <= 90)) THEN 1 ELSE 0 END), partial_sum(CASE WHEN (((ws_ship_date_sk#1 - ws_sold_date_sk#5) > 90) AND ((ws_ship_date_sk#1 - ws_sold_date_sk#5) <= 120)) THEN 1 ELSE 0 END), partial_sum(CASE WHEN ((ws_ship_date_sk#1 - ws_sold_date_sk#5) > 120) THEN 1 ELSE 0 END)]
Aggregate Attributes [5]: [sum#15, sum#16, sum#17, sum#18, sum#19]
Results [8]: [_groupingexpression#14, sm_type#9, web_name#11, sum#20, sum#21, sum#22, sum#23, sum#24]

(26) RowToColumnar
Input [8]: [_groupingexpression#14, sm_type#9, web_name#11, sum#20, sum#21, sum#22, sum#23, sum#24]

(27) CometColumnarExchange
Input [8]: [_groupingexpression#14, sm_type#9, web_name#11, sum#20, sum#21, sum#22, sum#23, sum#24]
Arguments: hashpartitioning(_groupingexpression#14, sm_type#9, web_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=1]

(28) ColumnarToRow [codegen id : 2]
Input [8]: [_groupingexpression#14, sm_type#9, web_name#11, sum#20, sum#21, sum#22, sum#23, sum#24]

(29) HashAggregate [codegen id : 2]
Input [8]: [_groupingexpression#14, sm_type#9, web_name#11, sum#20, sum#21, sum#22, sum#23, sum#24]
Keys [3]: [_groupingexpression#14, sm_type#9, web_name#11]
Functions [5]: [sum(CASE WHEN ((ws_ship_date_sk#1 - ws_sold_date_sk#5) <= 30) THEN 1 ELSE 0 END), sum(CASE WHEN (((ws_ship_date_sk#1 - ws_sold_date_sk#5) > 30) AND ((ws_ship_date_sk#1 - ws_sold_date_sk#5) <= 60)) THEN 1 ELSE 0 END), sum(CASE WHEN (((ws_ship_date_sk#1 - ws_sold_date_sk#5) > 60) AND ((ws_ship_date_sk#1 - ws_sold_date_sk#5) <= 90)) THEN 1 ELSE 0 END), sum(CASE WHEN (((ws_ship_date_sk#1 - ws_sold_date_sk#5) > 90) AND ((ws_ship_date_sk#1 - ws_sold_date_sk#5) <= 120)) THEN 1 ELSE 0 END), sum(CASE WHEN ((ws_ship_date_sk#1 - ws_sold_date_sk#5) > 120) THEN 1 ELSE 0 END)]
Aggregate Attributes [5]: [sum(CASE WHEN ((ws_ship_date_sk#1 - ws_sold_date_sk#5) <= 30) THEN 1 ELSE 0 END)#25, sum(CASE WHEN (((ws_ship_date_sk#1 - ws_sold_date_sk#5) > 30) AND ((ws_ship_date_sk#1 - ws_sold_date_sk#5) <= 60)) THEN 1 ELSE 0 END)#26, sum(CASE WHEN (((ws_ship_date_sk#1 - ws_sold_date_sk#5) > 60) AND ((ws_ship_date_sk#1 - ws_sold_date_sk#5) <= 90)) THEN 1 ELSE 0 END)#27, sum(CASE WHEN (((ws_ship_date_sk#1 - ws_sold_date_sk#5) > 90) AND ((ws_ship_date_sk#1 - ws_sold_date_sk#5) <= 120)) THEN 1 ELSE 0 END)#28, sum(CASE WHEN ((ws_ship_date_sk#1 - ws_sold_date_sk#5) > 120) THEN 1 ELSE 0 END)#29]
Results [8]: [_groupingexpression#14 AS substr(w_warehouse_name, 1, 20)#30, sm_type#9, web_name#11, sum(CASE WHEN ((ws_ship_date_sk#1 - ws_sold_date_sk#5) <= 30) THEN 1 ELSE 0 END)#25 AS 30 days #31, sum(CASE WHEN (((ws_ship_date_sk#1 - ws_sold_date_sk#5) > 30) AND ((ws_ship_date_sk#1 - ws_sold_date_sk#5) <= 60)) THEN 1 ELSE 0 END)#26 AS 31 - 60 days #32, sum(CASE WHEN (((ws_ship_date_sk#1 - ws_sold_date_sk#5) > 60) AND ((ws_ship_date_sk#1 - ws_sold_date_sk#5) <= 90)) THEN 1 ELSE 0 END)#27 AS 61 - 90 days #33, sum(CASE WHEN (((ws_ship_date_sk#1 - ws_sold_date_sk#5) > 90) AND ((ws_ship_date_sk#1 - ws_sold_date_sk#5) <= 120)) THEN 1 ELSE 0 END)#28 AS 91 - 120 days #34, sum(CASE WHEN ((ws_ship_date_sk#1 - ws_sold_date_sk#5) > 120) THEN 1 ELSE 0 END)#29 AS >120 days #35]

(30) TakeOrderedAndProject
Input [8]: [substr(w_warehouse_name, 1, 20)#30, sm_type#9, web_name#11, 30 days #31, 31 - 60 days #32, 61 - 90 days #33, 91 - 120 days #34, >120 days #35]
Arguments: 100, [substr(w_warehouse_name, 1, 20)#30 ASC NULLS FIRST, sm_type#9 ASC NULLS FIRST, web_name#11 ASC NULLS FIRST], [substr(w_warehouse_name, 1, 20)#30, sm_type#9, web_name#11, 30 days #31, 31 - 60 days #32, 61 - 90 days #33, 91 - 120 days #34, >120 days #35]

