== Physical Plan ==
* HashAggregate (69)
+- * CometColumnarToRow (68)
   +- CometColumnarExchange (67)
      +- * HashAggregate (66)
         +- Union (65)
            :- * Project (46)
            :  +- * BroadcastHashJoin Inner BuildRight (45)
            :     :- * Project (43)
            :     :  +- * SortMergeJoin LeftSemi (42)
            :     :     :- * CometColumnarToRow (25)
            :     :     :  +- CometSort (24)
            :     :     :     +- CometExchange (23)
            :     :     :        +- CometProject (22)
            :     :     :           +- CometBroadcastHashJoin (21)
            :     :     :              :- CometScan parquet spark_catalog.default.catalog_sales (1)
            :     :     :              +- CometBroadcastExchange (20)
            :     :     :                 +- CometProject (19)
            :     :     :                    +- CometFilter (18)
            :     :     :                       +- CometHashAggregate (17)
            :     :     :                          +- CometExchange (16)
            :     :     :                             +- CometHashAggregate (15)
            :     :     :                                +- CometProject (14)
            :     :     :                                   +- CometBroadcastHashJoin (13)
            :     :     :                                      :- CometProject (9)
            :     :     :                                      :  +- CometBroadcastHashJoin (8)
            :     :     :                                      :     :- CometFilter (3)
            :     :     :                                      :     :  +- CometScan parquet spark_catalog.default.store_sales (2)
            :     :     :                                      :     +- CometBroadcastExchange (7)
            :     :     :                                      :        +- CometProject (6)
            :     :     :                                      :           +- CometFilter (5)
            :     :     :                                      :              +- CometScan parquet spark_catalog.default.date_dim (4)
            :     :     :                                      +- CometBroadcastExchange (12)
            :     :     :                                         +- CometFilter (11)
            :     :     :                                            +- CometScan parquet spark_catalog.default.item (10)
            :     :     +- * Sort (41)
            :     :        +- * Project (40)
            :     :           +- * Filter (39)
            :     :              +- * HashAggregate (38)
            :     :                 +- * CometColumnarToRow (37)
            :     :                    +- CometColumnarExchange (36)
            :     :                       +- * HashAggregate (35)
            :     :                          +- * CometColumnarToRow (34)
            :     :                             +- CometProject (33)
            :     :                                +- CometBroadcastHashJoin (32)
            :     :                                   :- CometProject (28)
            :     :                                   :  +- CometFilter (27)
            :     :                                   :     +- CometScan parquet spark_catalog.default.store_sales (26)
            :     :                                   +- CometBroadcastExchange (31)
            :     :                                      +- CometFilter (30)
            :     :                                         +- CometScan parquet spark_catalog.default.customer (29)
            :     +- ReusedExchange (44)
            +- * Project (64)
               +- * BroadcastHashJoin Inner BuildRight (63)
                  :- * Project (61)
                  :  +- * SortMergeJoin LeftSemi (60)
                  :     :- * CometColumnarToRow (53)
                  :     :  +- CometSort (52)
                  :     :     +- CometExchange (51)
                  :     :        +- CometProject (50)
                  :     :           +- CometBroadcastHashJoin (49)
                  :     :              :- CometScan parquet spark_catalog.default.web_sales (47)
                  :     :              +- ReusedExchange (48)
                  :     +- * Sort (59)
                  :        +- * Project (58)
                  :           +- * Filter (57)
                  :              +- * HashAggregate (56)
                  :                 +- * CometColumnarToRow (55)
                  :                    +- ReusedExchange (54)
                  +- ReusedExchange (62)


(1) CometScan parquet spark_catalog.default.catalog_sales
Output [5]: [cs_bill_customer_sk#1, cs_item_sk#2, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#5), dynamicpruningexpression(cs_sold_date_sk#5 IN dynamicpruning#6)]
ReadSchema: struct<cs_bill_customer_sk:int,cs_item_sk:int,cs_quantity:int,cs_list_price:decimal(7,2)>

(2) CometScan parquet spark_catalog.default.store_sales
Output [2]: [ss_item_sk#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_item_sk)]
ReadSchema: struct<ss_item_sk:int>

(3) CometFilter
Input [2]: [ss_item_sk#7, ss_sold_date_sk#8]
Condition : isnotnull(ss_item_sk#7)

(4) CometScan parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#10, d_date#11, d_year#12]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [In(d_year, [2000,2001,2002,2003]), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date,d_year:int>

(5) CometFilter
Input [3]: [d_date_sk#10, d_date#11, d_year#12]
Condition : (d_year#12 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#10))

(6) CometProject
Input [3]: [d_date_sk#10, d_date#11, d_year#12]
Arguments: [d_date_sk#10, d_date#11], [d_date_sk#10, d_date#11]

(7) CometBroadcastExchange
Input [2]: [d_date_sk#10, d_date#11]
Arguments: [d_date_sk#10, d_date#11]

(8) CometBroadcastHashJoin
Left output [2]: [ss_item_sk#7, ss_sold_date_sk#8]
Right output [2]: [d_date_sk#10, d_date#11]
Arguments: [ss_sold_date_sk#8], [d_date_sk#10], Inner, BuildRight

(9) CometProject
Input [4]: [ss_item_sk#7, ss_sold_date_sk#8, d_date_sk#10, d_date#11]
Arguments: [ss_item_sk#7, d_date#11], [ss_item_sk#7, d_date#11]

(10) CometScan parquet spark_catalog.default.item
Output [2]: [i_item_sk#13, i_item_desc#14]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_item_desc:string>

(11) CometFilter
Input [2]: [i_item_sk#13, i_item_desc#14]
Condition : isnotnull(i_item_sk#13)

(12) CometBroadcastExchange
Input [2]: [i_item_sk#13, i_item_desc#14]
Arguments: [i_item_sk#13, i_item_desc#14]

(13) CometBroadcastHashJoin
Left output [2]: [ss_item_sk#7, d_date#11]
Right output [2]: [i_item_sk#13, i_item_desc#14]
Arguments: [ss_item_sk#7], [i_item_sk#13], Inner, BuildRight

(14) CometProject
Input [4]: [ss_item_sk#7, d_date#11, i_item_sk#13, i_item_desc#14]
Arguments: [d_date#11, i_item_sk#13, _groupingexpression#15], [d_date#11, i_item_sk#13, substr(i_item_desc#14, 1, 30) AS _groupingexpression#15]

(15) CometHashAggregate
Input [3]: [d_date#11, i_item_sk#13, _groupingexpression#15]
Keys [3]: [_groupingexpression#15, i_item_sk#13, d_date#11]
Functions [1]: [partial_count(1)]

(16) CometExchange
Input [4]: [_groupingexpression#15, i_item_sk#13, d_date#11, count#16]
Arguments: hashpartitioning(_groupingexpression#15, i_item_sk#13, d_date#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(17) CometHashAggregate
Input [4]: [_groupingexpression#15, i_item_sk#13, d_date#11, count#16]
Keys [3]: [_groupingexpression#15, i_item_sk#13, d_date#11]
Functions [1]: [count(1)]

(18) CometFilter
Input [2]: [item_sk#17, cnt#18]
Condition : (cnt#18 > 4)

(19) CometProject
Input [2]: [item_sk#17, cnt#18]
Arguments: [item_sk#17], [item_sk#17]

(20) CometBroadcastExchange
Input [1]: [item_sk#17]
Arguments: [item_sk#17]

(21) CometBroadcastHashJoin
Left output [5]: [cs_bill_customer_sk#1, cs_item_sk#2, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5]
Right output [1]: [item_sk#17]
Arguments: [cs_item_sk#2], [item_sk#17], LeftSemi, BuildRight

(22) CometProject
Input [5]: [cs_bill_customer_sk#1, cs_item_sk#2, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5]
Arguments: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5], [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5]

(23) CometExchange
Input [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5]
Arguments: hashpartitioning(cs_bill_customer_sk#1, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2]

(24) CometSort
Input [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5]
Arguments: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5], [cs_bill_customer_sk#1 ASC NULLS FIRST]

(25) CometColumnarToRow [codegen id : 1]
Input [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5]

(26) CometScan parquet spark_catalog.default.store_sales
Output [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store_sales]
PushedFilters: [IsNotNull(ss_customer_sk)]
ReadSchema: struct<ss_customer_sk:int,ss_quantity:int,ss_sales_price:decimal(7,2)>

(27) CometFilter
Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22]
Condition : isnotnull(ss_customer_sk#19)

(28) CometProject
Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22]
Arguments: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21], [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21]

(29) CometScan parquet spark_catalog.default.customer
Output [1]: [c_customer_sk#23]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer]
PushedFilters: [IsNotNull(c_customer_sk)]
ReadSchema: struct<c_customer_sk:int>

(30) CometFilter
Input [1]: [c_customer_sk#23]
Condition : isnotnull(c_customer_sk#23)

(31) CometBroadcastExchange
Input [1]: [c_customer_sk#23]
Arguments: [c_customer_sk#23]

(32) CometBroadcastHashJoin
Left output [3]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21]
Right output [1]: [c_customer_sk#23]
Arguments: [ss_customer_sk#19], [c_customer_sk#23], Inner, BuildRight

(33) CometProject
Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, c_customer_sk#23]
Arguments: [ss_quantity#20, ss_sales_price#21, c_customer_sk#23], [ss_quantity#20, ss_sales_price#21, c_customer_sk#23]

(34) CometColumnarToRow [codegen id : 2]
Input [3]: [ss_quantity#20, ss_sales_price#21, c_customer_sk#23]

(35) HashAggregate [codegen id : 2]
Input [3]: [ss_quantity#20, ss_sales_price#21, c_customer_sk#23]
Keys [1]: [c_customer_sk#23]
Functions [1]: [partial_sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))]
Aggregate Attributes [2]: [sum#24, isEmpty#25]
Results [3]: [c_customer_sk#23, sum#26, isEmpty#27]

(36) CometColumnarExchange
Input [3]: [c_customer_sk#23, sum#26, isEmpty#27]
Arguments: hashpartitioning(c_customer_sk#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3]

(37) CometColumnarToRow [codegen id : 3]
Input [3]: [c_customer_sk#23, sum#26, isEmpty#27]

(38) HashAggregate [codegen id : 3]
Input [3]: [c_customer_sk#23, sum#26, isEmpty#27]
Keys [1]: [c_customer_sk#23]
Functions [1]: [sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))]
Aggregate Attributes [1]: [sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))#28]
Results [2]: [c_customer_sk#23, sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))#28 AS ssales#29]

(39) Filter [codegen id : 3]
Input [2]: [c_customer_sk#23, ssales#29]
Condition : (isnotnull(ssales#29) AND (cast(ssales#29 as decimal(38,8)) > (0.500000 * Subquery scalar-subquery#30, [id=#31])))

(40) Project [codegen id : 3]
Output [1]: [c_customer_sk#23]
Input [2]: [c_customer_sk#23, ssales#29]

(41) Sort [codegen id : 3]
Input [1]: [c_customer_sk#23]
Arguments: [c_customer_sk#23 ASC NULLS FIRST], false, 0

(42) SortMergeJoin [codegen id : 5]
Left keys [1]: [cs_bill_customer_sk#1]
Right keys [1]: [c_customer_sk#23]
Join type: LeftSemi
Join condition: None

(43) Project [codegen id : 5]
Output [3]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5]
Input [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5]

(44) ReusedExchange [Reuses operator id: 74]
Output [1]: [d_date_sk#32]

(45) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [cs_sold_date_sk#5]
Right keys [1]: [d_date_sk#32]
Join type: Inner
Join condition: None

(46) Project [codegen id : 5]
Output [1]: [(cast(cs_quantity#3 as decimal(10,0)) * cs_list_price#4) AS sales#33]
Input [4]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, d_date_sk#32]

(47) CometScan parquet spark_catalog.default.web_sales
Output [5]: [ws_item_sk#34, ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#38), dynamicpruningexpression(ws_sold_date_sk#38 IN dynamicpruning#39)]
ReadSchema: struct<ws_item_sk:int,ws_bill_customer_sk:int,ws_quantity:int,ws_list_price:decimal(7,2)>

(48) ReusedExchange [Reuses operator id: 20]
Output [1]: [item_sk#40]

(49) CometBroadcastHashJoin
Left output [5]: [ws_item_sk#34, ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38]
Right output [1]: [item_sk#40]
Arguments: [ws_item_sk#34], [item_sk#40], LeftSemi, BuildRight

(50) CometProject
Input [5]: [ws_item_sk#34, ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38]
Arguments: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38], [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38]

(51) CometExchange
Input [4]: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38]
Arguments: hashpartitioning(ws_bill_customer_sk#35, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4]

(52) CometSort
Input [4]: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38]
Arguments: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38], [ws_bill_customer_sk#35 ASC NULLS FIRST]

(53) CometColumnarToRow [codegen id : 6]
Input [4]: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38]

(54) ReusedExchange [Reuses operator id: 36]
Output [3]: [c_customer_sk#41, sum#42, isEmpty#43]

(55) CometColumnarToRow [codegen id : 8]
Input [3]: [c_customer_sk#41, sum#42, isEmpty#43]

(56) HashAggregate [codegen id : 8]
Input [3]: [c_customer_sk#41, sum#42, isEmpty#43]
Keys [1]: [c_customer_sk#41]
Functions [1]: [sum((cast(ss_quantity#44 as decimal(10,0)) * ss_sales_price#45))]
Aggregate Attributes [1]: [sum((cast(ss_quantity#44 as decimal(10,0)) * ss_sales_price#45))#28]
Results [2]: [c_customer_sk#41, sum((cast(ss_quantity#44 as decimal(10,0)) * ss_sales_price#45))#28 AS ssales#46]

(57) Filter [codegen id : 8]
Input [2]: [c_customer_sk#41, ssales#46]
Condition : (isnotnull(ssales#46) AND (cast(ssales#46 as decimal(38,8)) > (0.500000 * ReusedSubquery Subquery scalar-subquery#30, [id=#31])))

(58) Project [codegen id : 8]
Output [1]: [c_customer_sk#41]
Input [2]: [c_customer_sk#41, ssales#46]

(59) Sort [codegen id : 8]
Input [1]: [c_customer_sk#41]
Arguments: [c_customer_sk#41 ASC NULLS FIRST], false, 0

(60) SortMergeJoin [codegen id : 10]
Left keys [1]: [ws_bill_customer_sk#35]
Right keys [1]: [c_customer_sk#41]
Join type: LeftSemi
Join condition: None

(61) Project [codegen id : 10]
Output [3]: [ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38]
Input [4]: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38]

(62) ReusedExchange [Reuses operator id: 74]
Output [1]: [d_date_sk#47]

(63) BroadcastHashJoin [codegen id : 10]
Left keys [1]: [ws_sold_date_sk#38]
Right keys [1]: [d_date_sk#47]
Join type: Inner
Join condition: None

(64) Project [codegen id : 10]
Output [1]: [(cast(ws_quantity#36 as decimal(10,0)) * ws_list_price#37) AS sales#48]
Input [4]: [ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38, d_date_sk#47]

(65) Union

(66) HashAggregate [codegen id : 11]
Input [1]: [sales#33]
Keys: []
Functions [1]: [partial_sum(sales#33)]
Aggregate Attributes [2]: [sum#49, isEmpty#50]
Results [2]: [sum#51, isEmpty#52]

(67) CometColumnarExchange
Input [2]: [sum#51, isEmpty#52]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5]

(68) CometColumnarToRow [codegen id : 12]
Input [2]: [sum#51, isEmpty#52]

(69) HashAggregate [codegen id : 12]
Input [2]: [sum#51, isEmpty#52]
Keys: []
Functions [1]: [sum(sales#33)]
Aggregate Attributes [1]: [sum(sales#33)#53]
Results [1]: [sum(sales#33)#53 AS sum(sales)#54]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#5 IN dynamicpruning#6
BroadcastExchange (74)
+- * CometColumnarToRow (73)
   +- CometProject (72)
      +- CometFilter (71)
         +- CometScan parquet spark_catalog.default.date_dim (70)


(70) CometScan parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#32, d_year#55, d_moy#56]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,2), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(71) CometFilter
Input [3]: [d_date_sk#32, d_year#55, d_moy#56]
Condition : ((((isnotnull(d_year#55) AND isnotnull(d_moy#56)) AND (d_year#55 = 2000)) AND (d_moy#56 = 2)) AND isnotnull(d_date_sk#32))

(72) CometProject
Input [3]: [d_date_sk#32, d_year#55, d_moy#56]
Arguments: [d_date_sk#32], [d_date_sk#32]

(73) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#32]

(74) BroadcastExchange
Input [1]: [d_date_sk#32]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6]

Subquery:2 Hosting operator id = 2 Hosting Expression = ss_sold_date_sk#8 IN dynamicpruning#9
BroadcastExchange (79)
+- * CometColumnarToRow (78)
   +- CometProject (77)
      +- CometFilter (76)
         +- CometScan parquet spark_catalog.default.date_dim (75)


(75) CometScan parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#10, d_date#11, d_year#12]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [In(d_year, [2000,2001,2002,2003]), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date,d_year:int>

(76) CometFilter
Input [3]: [d_date_sk#10, d_date#11, d_year#12]
Condition : (d_year#12 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#10))

(77) CometProject
Input [3]: [d_date_sk#10, d_date#11, d_year#12]
Arguments: [d_date_sk#10, d_date#11], [d_date_sk#10, d_date#11]

(78) CometColumnarToRow [codegen id : 1]
Input [2]: [d_date_sk#10, d_date#11]

(79) BroadcastExchange
Input [2]: [d_date_sk#10, d_date#11]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7]

Subquery:3 Hosting operator id = 39 Hosting Expression = Subquery scalar-subquery#30, [id=#31]
* HashAggregate (99)
+- * CometColumnarToRow (98)
   +- CometColumnarExchange (97)
      +- * HashAggregate (96)
         +- * HashAggregate (95)
            +- * CometColumnarToRow (94)
               +- CometColumnarExchange (93)
                  +- * HashAggregate (92)
                     +- * CometColumnarToRow (91)
                        +- CometProject (90)
                           +- CometBroadcastHashJoin (89)
                              :- CometProject (84)
                              :  +- CometBroadcastHashJoin (83)
                              :     :- CometFilter (81)
                              :     :  +- CometScan parquet spark_catalog.default.store_sales (80)
                              :     +- ReusedExchange (82)
                              +- CometBroadcastExchange (88)
                                 +- CometProject (87)
                                    +- CometFilter (86)
                                       +- CometScan parquet spark_catalog.default.date_dim (85)


(80) CometScan parquet spark_catalog.default.store_sales
Output [4]: [ss_customer_sk#57, ss_quantity#58, ss_sales_price#59, ss_sold_date_sk#60]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#60), dynamicpruningexpression(ss_sold_date_sk#60 IN dynamicpruning#61)]
PushedFilters: [IsNotNull(ss_customer_sk)]
ReadSchema: struct<ss_customer_sk:int,ss_quantity:int,ss_sales_price:decimal(7,2)>

(81) CometFilter
Input [4]: [ss_customer_sk#57, ss_quantity#58, ss_sales_price#59, ss_sold_date_sk#60]
Condition : isnotnull(ss_customer_sk#57)

(82) ReusedExchange [Reuses operator id: 31]
Output [1]: [c_customer_sk#62]

(83) CometBroadcastHashJoin
Left output [4]: [ss_customer_sk#57, ss_quantity#58, ss_sales_price#59, ss_sold_date_sk#60]
Right output [1]: [c_customer_sk#62]
Arguments: [ss_customer_sk#57], [c_customer_sk#62], Inner, BuildRight

(84) CometProject
Input [5]: [ss_customer_sk#57, ss_quantity#58, ss_sales_price#59, ss_sold_date_sk#60, c_customer_sk#62]
Arguments: [ss_quantity#58, ss_sales_price#59, ss_sold_date_sk#60, c_customer_sk#62], [ss_quantity#58, ss_sales_price#59, ss_sold_date_sk#60, c_customer_sk#62]

(85) CometScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#63, d_year#64]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [In(d_year, [2000,2001,2002,2003]), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(86) CometFilter
Input [2]: [d_date_sk#63, d_year#64]
Condition : (d_year#64 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#63))

(87) CometProject
Input [2]: [d_date_sk#63, d_year#64]
Arguments: [d_date_sk#63], [d_date_sk#63]

(88) CometBroadcastExchange
Input [1]: [d_date_sk#63]
Arguments: [d_date_sk#63]

(89) CometBroadcastHashJoin
Left output [4]: [ss_quantity#58, ss_sales_price#59, ss_sold_date_sk#60, c_customer_sk#62]
Right output [1]: [d_date_sk#63]
Arguments: [ss_sold_date_sk#60], [d_date_sk#63], Inner, BuildRight

(90) CometProject
Input [5]: [ss_quantity#58, ss_sales_price#59, ss_sold_date_sk#60, c_customer_sk#62, d_date_sk#63]
Arguments: [ss_quantity#58, ss_sales_price#59, c_customer_sk#62], [ss_quantity#58, ss_sales_price#59, c_customer_sk#62]

(91) CometColumnarToRow [codegen id : 1]
Input [3]: [ss_quantity#58, ss_sales_price#59, c_customer_sk#62]

(92) HashAggregate [codegen id : 1]
Input [3]: [ss_quantity#58, ss_sales_price#59, c_customer_sk#62]
Keys [1]: [c_customer_sk#62]
Functions [1]: [partial_sum((cast(ss_quantity#58 as decimal(10,0)) * ss_sales_price#59))]
Aggregate Attributes [2]: [sum#65, isEmpty#66]
Results [3]: [c_customer_sk#62, sum#67, isEmpty#68]

(93) CometColumnarExchange
Input [3]: [c_customer_sk#62, sum#67, isEmpty#68]
Arguments: hashpartitioning(c_customer_sk#62, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8]

(94) CometColumnarToRow [codegen id : 2]
Input [3]: [c_customer_sk#62, sum#67, isEmpty#68]

(95) HashAggregate [codegen id : 2]
Input [3]: [c_customer_sk#62, sum#67, isEmpty#68]
Keys [1]: [c_customer_sk#62]
Functions [1]: [sum((cast(ss_quantity#58 as decimal(10,0)) * ss_sales_price#59))]
Aggregate Attributes [1]: [sum((cast(ss_quantity#58 as decimal(10,0)) * ss_sales_price#59))#69]
Results [1]: [sum((cast(ss_quantity#58 as decimal(10,0)) * ss_sales_price#59))#69 AS csales#70]

(96) HashAggregate [codegen id : 2]
Input [1]: [csales#70]
Keys: []
Functions [1]: [partial_max(csales#70)]
Aggregate Attributes [1]: [max#71]
Results [1]: [max#72]

(97) CometColumnarExchange
Input [1]: [max#72]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9]

(98) CometColumnarToRow [codegen id : 3]
Input [1]: [max#72]

(99) HashAggregate [codegen id : 3]
Input [1]: [max#72]
Keys: []
Functions [1]: [max(csales#70)]
Aggregate Attributes [1]: [max(csales#70)#73]
Results [1]: [max(csales#70)#73 AS tpcds_cmax#74]

Subquery:4 Hosting operator id = 80 Hosting Expression = ss_sold_date_sk#60 IN dynamicpruning#61
BroadcastExchange (104)
+- * CometColumnarToRow (103)
   +- CometProject (102)
      +- CometFilter (101)
         +- CometScan parquet spark_catalog.default.date_dim (100)


(100) CometScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#63, d_year#64]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [In(d_year, [2000,2001,2002,2003]), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(101) CometFilter
Input [2]: [d_date_sk#63, d_year#64]
Condition : (d_year#64 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#63))

(102) CometProject
Input [2]: [d_date_sk#63, d_year#64]
Arguments: [d_date_sk#63], [d_date_sk#63]

(103) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#63]

(104) BroadcastExchange
Input [1]: [d_date_sk#63]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=10]

Subquery:5 Hosting operator id = 47 Hosting Expression = ws_sold_date_sk#38 IN dynamicpruning#6

Subquery:6 Hosting operator id = 57 Hosting Expression = ReusedSubquery Subquery scalar-subquery#30, [id=#31]


