== Physical Plan ==
TakeOrderedAndProject (78)
+- Union (77)
   :- * HashAggregate (31)
   :  +- * CometColumnarToRow (30)
   :     +- CometColumnarExchange (29)
   :        +- * HashAggregate (28)
   :           +- * Project (27)
   :              +- * BroadcastHashJoin Inner BuildRight (26)
   :                 :- * Project (20)
   :                 :  +- * BroadcastHashJoin Inner BuildRight (19)
   :                 :     :- * Project (13)
   :                 :     :  +- * BroadcastHashJoin Inner BuildRight (12)
   :                 :     :     :- * Project (10)
   :                 :     :     :  +- * BroadcastHashJoin Inner BuildRight (9)
   :                 :     :     :     :- * Filter (3)
   :                 :     :     :     :  +- * ColumnarToRow (2)
   :                 :     :     :     :     +- Scan parquet spark_catalog.default.store_sales (1)
   :                 :     :     :     +- BroadcastExchange (8)
   :                 :     :     :        +- * CometColumnarToRow (7)
   :                 :     :     :           +- CometProject (6)
   :                 :     :     :              +- CometFilter (5)
   :                 :     :     :                 +- CometNativeScan parquet spark_catalog.default.customer_demographics (4)
   :                 :     :     +- ReusedExchange (11)
   :                 :     +- BroadcastExchange (18)
   :                 :        +- * CometColumnarToRow (17)
   :                 :           +- CometProject (16)
   :                 :              +- CometFilter (15)
   :                 :                 +- CometNativeScan parquet spark_catalog.default.store (14)
   :                 +- BroadcastExchange (25)
   :                    +- * CometColumnarToRow (24)
   :                       +- CometProject (23)
   :                          +- CometFilter (22)
   :                             +- CometNativeScan parquet spark_catalog.default.item (21)
   :- * HashAggregate (54)
   :  +- * CometColumnarToRow (53)
   :     +- CometColumnarExchange (52)
   :        +- * HashAggregate (51)
   :           +- * Project (50)
   :              +- * BroadcastHashJoin Inner BuildRight (49)
   :                 :- * Project (47)
   :                 :  +- * BroadcastHashJoin Inner BuildRight (46)
   :                 :     :- * Project (40)
   :                 :     :  +- * BroadcastHashJoin Inner BuildRight (39)
   :                 :     :     :- * Project (37)
   :                 :     :     :  +- * BroadcastHashJoin Inner BuildRight (36)
   :                 :     :     :     :- * Filter (34)
   :                 :     :     :     :  +- * ColumnarToRow (33)
   :                 :     :     :     :     +- Scan parquet spark_catalog.default.store_sales (32)
   :                 :     :     :     +- ReusedExchange (35)
   :                 :     :     +- ReusedExchange (38)
   :                 :     +- BroadcastExchange (45)
   :                 :        +- * CometColumnarToRow (44)
   :                 :           +- CometProject (43)
   :                 :              +- CometFilter (42)
   :                 :                 +- CometNativeScan parquet spark_catalog.default.store (41)
   :                 +- ReusedExchange (48)
   +- * HashAggregate (76)
      +- * CometColumnarToRow (75)
         +- CometColumnarExchange (74)
            +- * HashAggregate (73)
               +- * Project (72)
                  +- * BroadcastHashJoin Inner BuildRight (71)
                     :- * Project (66)
                     :  +- * BroadcastHashJoin Inner BuildRight (65)
                     :     :- * Project (63)
                     :     :  +- * BroadcastHashJoin Inner BuildRight (62)
                     :     :     :- * Project (60)
                     :     :     :  +- * BroadcastHashJoin Inner BuildRight (59)
                     :     :     :     :- * Filter (57)
                     :     :     :     :  +- * ColumnarToRow (56)
                     :     :     :     :     +- Scan parquet spark_catalog.default.store_sales (55)
                     :     :     :     +- ReusedExchange (58)
                     :     :     +- ReusedExchange (61)
                     :     +- ReusedExchange (64)
                     +- BroadcastExchange (70)
                        +- * CometColumnarToRow (69)
                           +- CometFilter (68)
                              +- CometNativeScan parquet spark_catalog.default.item (67)


(1) Scan parquet spark_catalog.default.store_sales
Output [8]: [ss_item_sk#1, ss_cdemo_sk#2, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, ss_sold_date_sk#8]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#8), dynamicpruningexpression(ss_sold_date_sk#8 IN dynamicpruning#9)]
PushedFilters: [IsNotNull(ss_cdemo_sk), IsNotNull(ss_store_sk), IsNotNull(ss_item_sk)]
ReadSchema: struct<ss_item_sk:int,ss_cdemo_sk:int,ss_store_sk:int,ss_quantity:int,ss_list_price:decimal(7,2),ss_sales_price:decimal(7,2),ss_coupon_amt:decimal(7,2)>

(2) ColumnarToRow [codegen id : 5]
Input [8]: [ss_item_sk#1, ss_cdemo_sk#2, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, ss_sold_date_sk#8]

(3) Filter [codegen id : 5]
Input [8]: [ss_item_sk#1, ss_cdemo_sk#2, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, ss_sold_date_sk#8]
Condition : ((isnotnull(ss_cdemo_sk#2) AND isnotnull(ss_store_sk#3)) AND isnotnull(ss_item_sk#1))

(4) CometNativeScan parquet spark_catalog.default.customer_demographics
Output [4]: [cd_demo_sk#10, cd_gender#11, cd_marital_status#12, cd_education_status#13]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_demographics]
PushedFilters: [IsNotNull(cd_demo_sk)]
ReadSchema: struct<cd_demo_sk:int,cd_gender:string,cd_marital_status:string,cd_education_status:string>

(5) CometFilter
Input [4]: [cd_demo_sk#10, cd_gender#11, cd_marital_status#12, cd_education_status#13]
Condition : ((((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, cd_gender#11, 1, true, false, true) = F) AND (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, cd_marital_status#12, 1, true, false, true) = W)) AND (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, cd_education_status#13, 20, true, false, true) = Primary             )) AND isnotnull(cd_demo_sk#10))

(6) CometProject
Input [4]: [cd_demo_sk#10, cd_gender#11, cd_marital_status#12, cd_education_status#13]
Arguments: [cd_demo_sk#10], [cd_demo_sk#10]

(7) CometColumnarToRow [codegen id : 1]
Input [1]: [cd_demo_sk#10]

(8) BroadcastExchange
Input [1]: [cd_demo_sk#10]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=1]

(9) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [ss_cdemo_sk#2]
Right keys [1]: [cd_demo_sk#10]
Join type: Inner
Join condition: None

(10) Project [codegen id : 5]
Output [7]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, ss_sold_date_sk#8]
Input [9]: [ss_item_sk#1, ss_cdemo_sk#2, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, ss_sold_date_sk#8, cd_demo_sk#10]

(11) ReusedExchange [Reuses operator id: 83]
Output [1]: [d_date_sk#14]

(12) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [ss_sold_date_sk#8]
Right keys [1]: [d_date_sk#14]
Join type: Inner
Join condition: None

(13) Project [codegen id : 5]
Output [6]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7]
Input [8]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, ss_sold_date_sk#8, d_date_sk#14]

(14) CometNativeScan parquet spark_catalog.default.store
Output [2]: [s_store_sk#15, s_state#16]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_state:string>

(15) CometFilter
Input [2]: [s_store_sk#15, s_state#16]
Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#16, 2, true, false, true) = TN) AND isnotnull(s_store_sk#15))

(16) CometProject
Input [2]: [s_store_sk#15, s_state#16]
Arguments: [s_store_sk#15, s_state#17], [s_store_sk#15, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#16, 2, true, false, true) AS s_state#17]

(17) CometColumnarToRow [codegen id : 3]
Input [2]: [s_store_sk#15, s_state#17]

(18) BroadcastExchange
Input [2]: [s_store_sk#15, s_state#17]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]

(19) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [ss_store_sk#3]
Right keys [1]: [s_store_sk#15]
Join type: Inner
Join condition: None

(20) Project [codegen id : 5]
Output [6]: [ss_item_sk#1, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, s_state#17]
Input [8]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, s_store_sk#15, s_state#17]

(21) CometNativeScan parquet spark_catalog.default.item
Output [2]: [i_item_sk#18, i_item_id#19]
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>

(22) CometFilter
Input [2]: [i_item_sk#18, i_item_id#19]
Condition : isnotnull(i_item_sk#18)

(23) CometProject
Input [2]: [i_item_sk#18, i_item_id#19]
Arguments: [i_item_sk#18, i_item_id#20], [i_item_sk#18, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_item_id#19, 16, true, false, true) AS i_item_id#20]

(24) CometColumnarToRow [codegen id : 4]
Input [2]: [i_item_sk#18, i_item_id#20]

(25) BroadcastExchange
Input [2]: [i_item_sk#18, i_item_id#20]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]

(26) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [ss_item_sk#1]
Right keys [1]: [i_item_sk#18]
Join type: Inner
Join condition: None

(27) Project [codegen id : 5]
Output [6]: [i_item_id#20 AS i_item_id#21, s_state#17 AS s_state#22, ss_quantity#4 AS agg1#23, ss_list_price#5 AS agg2#24, ss_coupon_amt#7 AS agg3#25, ss_sales_price#6 AS agg4#26]
Input [8]: [ss_item_sk#1, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, s_state#17, i_item_sk#18, i_item_id#20]

(28) HashAggregate [codegen id : 5]
Input [6]: [i_item_id#21, s_state#22, agg1#23, agg2#24, agg3#25, agg4#26]
Keys [2]: [i_item_id#21, s_state#22]
Functions [4]: [partial_avg(agg1#23), partial_avg(UnscaledValue(agg2#24)), partial_avg(UnscaledValue(agg3#25)), partial_avg(UnscaledValue(agg4#26))]
Aggregate Attributes [8]: [sum#27, count#28, sum#29, count#30, sum#31, count#32, sum#33, count#34]
Results [10]: [i_item_id#21, s_state#22, sum#35, count#36, sum#37, count#38, sum#39, count#40, sum#41, count#42]

(29) CometColumnarExchange
Input [10]: [i_item_id#21, s_state#22, sum#35, count#36, sum#37, count#38, sum#39, count#40, sum#41, count#42]
Arguments: hashpartitioning(i_item_id#21, s_state#22, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4]

(30) CometColumnarToRow [codegen id : 6]
Input [10]: [i_item_id#21, s_state#22, sum#35, count#36, sum#37, count#38, sum#39, count#40, sum#41, count#42]

(31) HashAggregate [codegen id : 6]
Input [10]: [i_item_id#21, s_state#22, sum#35, count#36, sum#37, count#38, sum#39, count#40, sum#41, count#42]
Keys [2]: [i_item_id#21, s_state#22]
Functions [4]: [avg(agg1#23), avg(UnscaledValue(agg2#24)), avg(UnscaledValue(agg3#25)), avg(UnscaledValue(agg4#26))]
Aggregate Attributes [4]: [avg(agg1#23)#43, avg(UnscaledValue(agg2#24))#44, avg(UnscaledValue(agg3#25))#45, avg(UnscaledValue(agg4#26))#46]
Results [7]: [i_item_id#21, s_state#22, 0 AS g_state#47, avg(agg1#23)#43 AS agg1#48, cast((avg(UnscaledValue(agg2#24))#44 / 100.0) as decimal(11,6)) AS agg2#49, cast((avg(UnscaledValue(agg3#25))#45 / 100.0) as decimal(11,6)) AS agg3#50, cast((avg(UnscaledValue(agg4#26))#46 / 100.0) as decimal(11,6)) AS agg4#51]

(32) Scan parquet spark_catalog.default.store_sales
Output [8]: [ss_item_sk#52, ss_cdemo_sk#53, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#59), dynamicpruningexpression(ss_sold_date_sk#59 IN dynamicpruning#9)]
PushedFilters: [IsNotNull(ss_cdemo_sk), IsNotNull(ss_store_sk), IsNotNull(ss_item_sk)]
ReadSchema: struct<ss_item_sk:int,ss_cdemo_sk:int,ss_store_sk:int,ss_quantity:int,ss_list_price:decimal(7,2),ss_sales_price:decimal(7,2),ss_coupon_amt:decimal(7,2)>

(33) ColumnarToRow [codegen id : 11]
Input [8]: [ss_item_sk#52, ss_cdemo_sk#53, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59]

(34) Filter [codegen id : 11]
Input [8]: [ss_item_sk#52, ss_cdemo_sk#53, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59]
Condition : ((isnotnull(ss_cdemo_sk#53) AND isnotnull(ss_store_sk#54)) AND isnotnull(ss_item_sk#52))

(35) ReusedExchange [Reuses operator id: 8]
Output [1]: [cd_demo_sk#60]

(36) BroadcastHashJoin [codegen id : 11]
Left keys [1]: [ss_cdemo_sk#53]
Right keys [1]: [cd_demo_sk#60]
Join type: Inner
Join condition: None

(37) Project [codegen id : 11]
Output [7]: [ss_item_sk#52, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59]
Input [9]: [ss_item_sk#52, ss_cdemo_sk#53, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59, cd_demo_sk#60]

(38) ReusedExchange [Reuses operator id: 83]
Output [1]: [d_date_sk#61]

(39) BroadcastHashJoin [codegen id : 11]
Left keys [1]: [ss_sold_date_sk#59]
Right keys [1]: [d_date_sk#61]
Join type: Inner
Join condition: None

(40) Project [codegen id : 11]
Output [6]: [ss_item_sk#52, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58]
Input [8]: [ss_item_sk#52, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59, d_date_sk#61]

(41) CometNativeScan parquet spark_catalog.default.store
Output [2]: [s_store_sk#62, s_state#63]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_state:string>

(42) CometFilter
Input [2]: [s_store_sk#62, s_state#63]
Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#63, 2, true, false, true) = TN) AND isnotnull(s_store_sk#62))

(43) CometProject
Input [2]: [s_store_sk#62, s_state#63]
Arguments: [s_store_sk#62], [s_store_sk#62]

(44) CometColumnarToRow [codegen id : 9]
Input [1]: [s_store_sk#62]

(45) BroadcastExchange
Input [1]: [s_store_sk#62]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5]

(46) BroadcastHashJoin [codegen id : 11]
Left keys [1]: [ss_store_sk#54]
Right keys [1]: [s_store_sk#62]
Join type: Inner
Join condition: None

(47) Project [codegen id : 11]
Output [5]: [ss_item_sk#52, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58]
Input [7]: [ss_item_sk#52, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, s_store_sk#62]

(48) ReusedExchange [Reuses operator id: 25]
Output [2]: [i_item_sk#64, i_item_id#20]

(49) BroadcastHashJoin [codegen id : 11]
Left keys [1]: [ss_item_sk#52]
Right keys [1]: [i_item_sk#64]
Join type: Inner
Join condition: None

(50) Project [codegen id : 11]
Output [5]: [i_item_id#20, ss_quantity#55 AS agg1#65, ss_list_price#56 AS agg2#66, ss_coupon_amt#58 AS agg3#67, ss_sales_price#57 AS agg4#68]
Input [7]: [ss_item_sk#52, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, i_item_sk#64, i_item_id#20]

(51) HashAggregate [codegen id : 11]
Input [5]: [i_item_id#20, agg1#65, agg2#66, agg3#67, agg4#68]
Keys [1]: [i_item_id#20]
Functions [4]: [partial_avg(agg1#65), partial_avg(UnscaledValue(agg2#66)), partial_avg(UnscaledValue(agg3#67)), partial_avg(UnscaledValue(agg4#68))]
Aggregate Attributes [8]: [sum#69, count#70, sum#71, count#72, sum#73, count#74, sum#75, count#76]
Results [9]: [i_item_id#20, sum#77, count#78, sum#79, count#80, sum#81, count#82, sum#83, count#84]

(52) CometColumnarExchange
Input [9]: [i_item_id#20, sum#77, count#78, sum#79, count#80, sum#81, count#82, sum#83, count#84]
Arguments: hashpartitioning(i_item_id#20, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6]

(53) CometColumnarToRow [codegen id : 12]
Input [9]: [i_item_id#20, sum#77, count#78, sum#79, count#80, sum#81, count#82, sum#83, count#84]

(54) HashAggregate [codegen id : 12]
Input [9]: [i_item_id#20, sum#77, count#78, sum#79, count#80, sum#81, count#82, sum#83, count#84]
Keys [1]: [i_item_id#20]
Functions [4]: [avg(agg1#65), avg(UnscaledValue(agg2#66)), avg(UnscaledValue(agg3#67)), avg(UnscaledValue(agg4#68))]
Aggregate Attributes [4]: [avg(agg1#65)#85, avg(UnscaledValue(agg2#66))#86, avg(UnscaledValue(agg3#67))#87, avg(UnscaledValue(agg4#68))#88]
Results [7]: [i_item_id#20, null AS s_state#89, 1 AS g_state#90, avg(agg1#65)#85 AS agg1#91, cast((avg(UnscaledValue(agg2#66))#86 / 100.0) as decimal(11,6)) AS agg2#92, cast((avg(UnscaledValue(agg3#67))#87 / 100.0) as decimal(11,6)) AS agg3#93, cast((avg(UnscaledValue(agg4#68))#88 / 100.0) as decimal(11,6)) AS agg4#94]

(55) Scan parquet spark_catalog.default.store_sales
Output [8]: [ss_item_sk#95, ss_cdemo_sk#96, ss_store_sk#97, ss_quantity#98, ss_list_price#99, ss_sales_price#100, ss_coupon_amt#101, ss_sold_date_sk#102]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#102), dynamicpruningexpression(ss_sold_date_sk#102 IN dynamicpruning#9)]
PushedFilters: [IsNotNull(ss_cdemo_sk), IsNotNull(ss_store_sk), IsNotNull(ss_item_sk)]
ReadSchema: struct<ss_item_sk:int,ss_cdemo_sk:int,ss_store_sk:int,ss_quantity:int,ss_list_price:decimal(7,2),ss_sales_price:decimal(7,2),ss_coupon_amt:decimal(7,2)>

(56) ColumnarToRow [codegen id : 17]
Input [8]: [ss_item_sk#95, ss_cdemo_sk#96, ss_store_sk#97, ss_quantity#98, ss_list_price#99, ss_sales_price#100, ss_coupon_amt#101, ss_sold_date_sk#102]

(57) Filter [codegen id : 17]
Input [8]: [ss_item_sk#95, ss_cdemo_sk#96, ss_store_sk#97, ss_quantity#98, ss_list_price#99, ss_sales_price#100, ss_coupon_amt#101, ss_sold_date_sk#102]
Condition : ((isnotnull(ss_cdemo_sk#96) AND isnotnull(ss_store_sk#97)) AND isnotnull(ss_item_sk#95))

(58) ReusedExchange [Reuses operator id: 8]
Output [1]: [cd_demo_sk#103]

(59) BroadcastHashJoin [codegen id : 17]
Left keys [1]: [ss_cdemo_sk#96]
Right keys [1]: [cd_demo_sk#103]
Join type: Inner
Join condition: None

(60) Project [codegen id : 17]
Output [7]: [ss_item_sk#95, ss_store_sk#97, ss_quantity#98, ss_list_price#99, ss_sales_price#100, ss_coupon_amt#101, ss_sold_date_sk#102]
Input [9]: [ss_item_sk#95, ss_cdemo_sk#96, ss_store_sk#97, ss_quantity#98, ss_list_price#99, ss_sales_price#100, ss_coupon_amt#101, ss_sold_date_sk#102, cd_demo_sk#103]

(61) ReusedExchange [Reuses operator id: 83]
Output [1]: [d_date_sk#104]

(62) BroadcastHashJoin [codegen id : 17]
Left keys [1]: [ss_sold_date_sk#102]
Right keys [1]: [d_date_sk#104]
Join type: Inner
Join condition: None

(63) Project [codegen id : 17]
Output [6]: [ss_item_sk#95, ss_store_sk#97, ss_quantity#98, ss_list_price#99, ss_sales_price#100, ss_coupon_amt#101]
Input [8]: [ss_item_sk#95, ss_store_sk#97, ss_quantity#98, ss_list_price#99, ss_sales_price#100, ss_coupon_amt#101, ss_sold_date_sk#102, d_date_sk#104]

(64) ReusedExchange [Reuses operator id: 45]
Output [1]: [s_store_sk#105]

(65) BroadcastHashJoin [codegen id : 17]
Left keys [1]: [ss_store_sk#97]
Right keys [1]: [s_store_sk#105]
Join type: Inner
Join condition: None

(66) Project [codegen id : 17]
Output [5]: [ss_item_sk#95, ss_quantity#98, ss_list_price#99, ss_sales_price#100, ss_coupon_amt#101]
Input [7]: [ss_item_sk#95, ss_store_sk#97, ss_quantity#98, ss_list_price#99, ss_sales_price#100, ss_coupon_amt#101, s_store_sk#105]

(67) CometNativeScan parquet spark_catalog.default.item
Output [1]: [i_item_sk#106]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int>

(68) CometFilter
Input [1]: [i_item_sk#106]
Condition : isnotnull(i_item_sk#106)

(69) CometColumnarToRow [codegen id : 16]
Input [1]: [i_item_sk#106]

(70) BroadcastExchange
Input [1]: [i_item_sk#106]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7]

(71) BroadcastHashJoin [codegen id : 17]
Left keys [1]: [ss_item_sk#95]
Right keys [1]: [i_item_sk#106]
Join type: Inner
Join condition: None

(72) Project [codegen id : 17]
Output [4]: [ss_quantity#98 AS agg1#107, ss_list_price#99 AS agg2#108, ss_coupon_amt#101 AS agg3#109, ss_sales_price#100 AS agg4#110]
Input [6]: [ss_item_sk#95, ss_quantity#98, ss_list_price#99, ss_sales_price#100, ss_coupon_amt#101, i_item_sk#106]

(73) HashAggregate [codegen id : 17]
Input [4]: [agg1#107, agg2#108, agg3#109, agg4#110]
Keys: []
Functions [4]: [partial_avg(agg1#107), partial_avg(UnscaledValue(agg2#108)), partial_avg(UnscaledValue(agg3#109)), partial_avg(UnscaledValue(agg4#110))]
Aggregate Attributes [8]: [sum#111, count#112, sum#113, count#114, sum#115, count#116, sum#117, count#118]
Results [8]: [sum#119, count#120, sum#121, count#122, sum#123, count#124, sum#125, count#126]

(74) CometColumnarExchange
Input [8]: [sum#119, count#120, sum#121, count#122, sum#123, count#124, sum#125, count#126]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8]

(75) CometColumnarToRow [codegen id : 18]
Input [8]: [sum#119, count#120, sum#121, count#122, sum#123, count#124, sum#125, count#126]

(76) HashAggregate [codegen id : 18]
Input [8]: [sum#119, count#120, sum#121, count#122, sum#123, count#124, sum#125, count#126]
Keys: []
Functions [4]: [avg(agg1#107), avg(UnscaledValue(agg2#108)), avg(UnscaledValue(agg3#109)), avg(UnscaledValue(agg4#110))]
Aggregate Attributes [4]: [avg(agg1#107)#127, avg(UnscaledValue(agg2#108))#128, avg(UnscaledValue(agg3#109))#129, avg(UnscaledValue(agg4#110))#130]
Results [7]: [null AS i_item_id#131, null AS s_state#132, 1 AS g_state#133, avg(agg1#107)#127 AS agg1#134, cast((avg(UnscaledValue(agg2#108))#128 / 100.0) as decimal(11,6)) AS agg2#135, cast((avg(UnscaledValue(agg3#109))#129 / 100.0) as decimal(11,6)) AS agg3#136, cast((avg(UnscaledValue(agg4#110))#130 / 100.0) as decimal(11,6)) AS agg4#137]

(77) Union

(78) TakeOrderedAndProject
Input [7]: [i_item_id#21, s_state#22, g_state#47, agg1#48, agg2#49, agg3#50, agg4#51]
Arguments: 100, [i_item_id#21 ASC NULLS FIRST, s_state#22 ASC NULLS FIRST], [i_item_id#21, s_state#22, g_state#47, agg1#48, agg2#49, agg3#50, agg4#51]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#8 IN dynamicpruning#9
BroadcastExchange (83)
+- * CometColumnarToRow (82)
   +- CometProject (81)
      +- CometFilter (80)
         +- CometNativeScan parquet spark_catalog.default.date_dim (79)


(79) CometNativeScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#14, d_year#138]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), EqualTo(d_year,1998), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(80) CometFilter
Input [2]: [d_date_sk#14, d_year#138]
Condition : ((isnotnull(d_year#138) AND (d_year#138 = 1998)) AND isnotnull(d_date_sk#14))

(81) CometProject
Input [2]: [d_date_sk#14, d_year#138]
Arguments: [d_date_sk#14], [d_date_sk#14]

(82) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#14]

(83) BroadcastExchange
Input [1]: [d_date_sk#14]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9]

Subquery:2 Hosting operator id = 32 Hosting Expression = ss_sold_date_sk#59 IN dynamicpruning#9

Subquery:3 Hosting operator id = 55 Hosting Expression = ss_sold_date_sk#102 IN dynamicpruning#9


