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


(1) Scan parquet spark_catalog.default.catalog_sales
Output [3]: [cs_bill_customer_sk#1, cs_item_sk#2, cs_sold_date_sk#3]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#3), dynamicpruningexpression(cs_sold_date_sk#3 IN dynamicpruning#4)]
PushedFilters: [IsNotNull(cs_item_sk), IsNotNull(cs_bill_customer_sk)]
ReadSchema: struct<cs_bill_customer_sk:int,cs_item_sk:int>

(2) ColumnarToRow [codegen id : 1]
Input [3]: [cs_bill_customer_sk#1, cs_item_sk#2, cs_sold_date_sk#3]

(3) Filter [codegen id : 1]
Input [3]: [cs_bill_customer_sk#1, cs_item_sk#2, cs_sold_date_sk#3]
Condition : (isnotnull(cs_item_sk#2) AND isnotnull(cs_bill_customer_sk#1))

(4) Project [codegen id : 1]
Output [3]: [cs_sold_date_sk#3 AS sold_date_sk#5, cs_bill_customer_sk#1 AS customer_sk#6, cs_item_sk#2 AS item_sk#7]
Input [3]: [cs_bill_customer_sk#1, cs_item_sk#2, cs_sold_date_sk#3]

(5) Scan parquet spark_catalog.default.web_sales
Output [3]: [ws_item_sk#8, ws_bill_customer_sk#9, ws_sold_date_sk#10]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#10), dynamicpruningexpression(ws_sold_date_sk#10 IN dynamicpruning#4)]
PushedFilters: [IsNotNull(ws_item_sk), IsNotNull(ws_bill_customer_sk)]
ReadSchema: struct<ws_item_sk:int,ws_bill_customer_sk:int>

(6) ColumnarToRow [codegen id : 2]
Input [3]: [ws_item_sk#8, ws_bill_customer_sk#9, ws_sold_date_sk#10]

(7) Filter [codegen id : 2]
Input [3]: [ws_item_sk#8, ws_bill_customer_sk#9, ws_sold_date_sk#10]
Condition : (isnotnull(ws_item_sk#8) AND isnotnull(ws_bill_customer_sk#9))

(8) Project [codegen id : 2]
Output [3]: [ws_sold_date_sk#10 AS sold_date_sk#11, ws_bill_customer_sk#9 AS customer_sk#12, ws_item_sk#8 AS item_sk#13]
Input [3]: [ws_item_sk#8, ws_bill_customer_sk#9, ws_sold_date_sk#10]

(9) Union

(10) CometNativeScan parquet spark_catalog.default.item
Output [3]: [i_item_sk#14, i_class#15, i_category#16]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_class:string,i_category:string>

(11) CometFilter
Input [3]: [i_item_sk#14, i_class#15, i_category#16]
Condition : (((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_category#16, 50, true, false, true) = Women                                             ) AND (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_class#15, 50, true, false, true) = maternity                                         )) AND isnotnull(i_item_sk#14))

(12) CometProject
Input [3]: [i_item_sk#14, i_class#15, i_category#16]
Arguments: [i_item_sk#14], [i_item_sk#14]

(13) CometColumnarToRow [codegen id : 3]
Input [1]: [i_item_sk#14]

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

(15) BroadcastHashJoin [codegen id : 6]
Left keys [1]: [item_sk#7]
Right keys [1]: [i_item_sk#14]
Join type: Inner
Join condition: None

(16) Project [codegen id : 6]
Output [2]: [sold_date_sk#5, customer_sk#6]
Input [4]: [sold_date_sk#5, customer_sk#6, item_sk#7, i_item_sk#14]

(17) ReusedExchange [Reuses operator id: 66]
Output [1]: [d_date_sk#17]

(18) BroadcastHashJoin [codegen id : 6]
Left keys [1]: [sold_date_sk#5]
Right keys [1]: [d_date_sk#17]
Join type: Inner
Join condition: None

(19) Project [codegen id : 6]
Output [1]: [customer_sk#6]
Input [3]: [sold_date_sk#5, customer_sk#6, d_date_sk#17]

(20) CometNativeScan parquet spark_catalog.default.customer
Output [2]: [c_customer_sk#18, c_current_addr_sk#19]
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>

(21) CometFilter
Input [2]: [c_customer_sk#18, c_current_addr_sk#19]
Condition : (isnotnull(c_customer_sk#18) AND isnotnull(c_current_addr_sk#19))

(22) CometColumnarToRow [codegen id : 5]
Input [2]: [c_customer_sk#18, c_current_addr_sk#19]

(23) BroadcastExchange
Input [2]: [c_customer_sk#18, c_current_addr_sk#19]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=2]

(24) BroadcastHashJoin [codegen id : 6]
Left keys [1]: [customer_sk#6]
Right keys [1]: [c_customer_sk#18]
Join type: Inner
Join condition: None

(25) Project [codegen id : 6]
Output [2]: [c_customer_sk#18, c_current_addr_sk#19]
Input [3]: [customer_sk#6, c_customer_sk#18, c_current_addr_sk#19]

(26) HashAggregate [codegen id : 6]
Input [2]: [c_customer_sk#18, c_current_addr_sk#19]
Keys [2]: [c_customer_sk#18, c_current_addr_sk#19]
Functions: []
Aggregate Attributes: []
Results [2]: [c_customer_sk#18, c_current_addr_sk#19]

(27) CometColumnarExchange
Input [2]: [c_customer_sk#18, c_current_addr_sk#19]
Arguments: hashpartitioning(c_customer_sk#18, c_current_addr_sk#19, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3]

(28) CometHashAggregate
Input [2]: [c_customer_sk#18, c_current_addr_sk#19]
Keys [2]: [c_customer_sk#18, c_current_addr_sk#19]
Functions: []

(29) CometColumnarToRow [codegen id : 11]
Input [2]: [c_customer_sk#18, c_current_addr_sk#19]

(30) Scan parquet spark_catalog.default.store_sales
Output [3]: [ss_customer_sk#20, ss_ext_sales_price#21, ss_sold_date_sk#22]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#22), dynamicpruningexpression(ss_sold_date_sk#22 IN dynamicpruning#23)]
PushedFilters: [IsNotNull(ss_customer_sk)]
ReadSchema: struct<ss_customer_sk:int,ss_ext_sales_price:decimal(7,2)>

(31) ColumnarToRow [codegen id : 7]
Input [3]: [ss_customer_sk#20, ss_ext_sales_price#21, ss_sold_date_sk#22]

(32) Filter [codegen id : 7]
Input [3]: [ss_customer_sk#20, ss_ext_sales_price#21, ss_sold_date_sk#22]
Condition : isnotnull(ss_customer_sk#20)

(33) BroadcastExchange
Input [3]: [ss_customer_sk#20, ss_ext_sales_price#21, ss_sold_date_sk#22]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=4]

(34) BroadcastHashJoin [codegen id : 11]
Left keys [1]: [c_customer_sk#18]
Right keys [1]: [ss_customer_sk#20]
Join type: Inner
Join condition: None

(35) Project [codegen id : 11]
Output [4]: [c_customer_sk#18, c_current_addr_sk#19, ss_ext_sales_price#21, ss_sold_date_sk#22]
Input [5]: [c_customer_sk#18, c_current_addr_sk#19, ss_customer_sk#20, ss_ext_sales_price#21, ss_sold_date_sk#22]

(36) CometNativeScan parquet spark_catalog.default.customer_address
Output [3]: [ca_address_sk#24, ca_county#25, ca_state#26]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_address]
PushedFilters: [IsNotNull(ca_address_sk), IsNotNull(ca_county)]
ReadSchema: struct<ca_address_sk:int,ca_county:string,ca_state:string>

(37) CometFilter
Input [3]: [ca_address_sk#24, ca_county#25, ca_state#26]
Condition : ((isnotnull(ca_address_sk#24) AND isnotnull(ca_county#25)) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#26, 2, true, false, true)))

(38) CometProject
Input [3]: [ca_address_sk#24, ca_county#25, ca_state#26]
Arguments: [ca_address_sk#24, ca_county#25, ca_state#27], [ca_address_sk#24, ca_county#25, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#26, 2, true, false, true) AS ca_state#27]

(39) CometColumnarToRow [codegen id : 8]
Input [3]: [ca_address_sk#24, ca_county#25, ca_state#27]

(40) BroadcastExchange
Input [3]: [ca_address_sk#24, ca_county#25, ca_state#27]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5]

(41) BroadcastHashJoin [codegen id : 11]
Left keys [1]: [c_current_addr_sk#19]
Right keys [1]: [ca_address_sk#24]
Join type: Inner
Join condition: None

(42) Project [codegen id : 11]
Output [5]: [c_customer_sk#18, ss_ext_sales_price#21, ss_sold_date_sk#22, ca_county#25, ca_state#27]
Input [7]: [c_customer_sk#18, c_current_addr_sk#19, ss_ext_sales_price#21, ss_sold_date_sk#22, ca_address_sk#24, ca_county#25, ca_state#27]

(43) CometNativeScan parquet spark_catalog.default.store
Output [2]: [s_county#28, s_state#29]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_county)]
ReadSchema: struct<s_county:string,s_state:string>

(44) CometFilter
Input [2]: [s_county#28, s_state#29]
Condition : (isnotnull(s_county#28) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#29, 2, true, false, true)))

(45) CometProject
Input [2]: [s_county#28, s_state#29]
Arguments: [s_county#28, s_state#30], [s_county#28, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#29, 2, true, false, true) AS s_state#30]

(46) CometColumnarToRow [codegen id : 9]
Input [2]: [s_county#28, s_state#30]

(47) BroadcastExchange
Input [2]: [s_county#28, s_state#30]
Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true]),false), [plan_id=6]

(48) BroadcastHashJoin [codegen id : 11]
Left keys [2]: [ca_county#25, ca_state#27]
Right keys [2]: [s_county#28, s_state#30]
Join type: Inner
Join condition: None

(49) Project [codegen id : 11]
Output [3]: [c_customer_sk#18, ss_ext_sales_price#21, ss_sold_date_sk#22]
Input [7]: [c_customer_sk#18, ss_ext_sales_price#21, ss_sold_date_sk#22, ca_county#25, ca_state#27, s_county#28, s_state#30]

(50) ReusedExchange [Reuses operator id: 71]
Output [1]: [d_date_sk#31]

(51) BroadcastHashJoin [codegen id : 11]
Left keys [1]: [ss_sold_date_sk#22]
Right keys [1]: [d_date_sk#31]
Join type: Inner
Join condition: None

(52) Project [codegen id : 11]
Output [2]: [c_customer_sk#18, ss_ext_sales_price#21]
Input [4]: [c_customer_sk#18, ss_ext_sales_price#21, ss_sold_date_sk#22, d_date_sk#31]

(53) HashAggregate [codegen id : 11]
Input [2]: [c_customer_sk#18, ss_ext_sales_price#21]
Keys [1]: [c_customer_sk#18]
Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#21))]
Aggregate Attributes [1]: [sum#32]
Results [2]: [c_customer_sk#18, sum#33]

(54) CometColumnarExchange
Input [2]: [c_customer_sk#18, sum#33]
Arguments: hashpartitioning(c_customer_sk#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7]

(55) CometColumnarToRow [codegen id : 12]
Input [2]: [c_customer_sk#18, sum#33]

(56) HashAggregate [codegen id : 12]
Input [2]: [c_customer_sk#18, sum#33]
Keys [1]: [c_customer_sk#18]
Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#21))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#21))#34]
Results [1]: [cast((MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#21))#34,17,2) / 50) as int) AS segment#35]

(57) HashAggregate [codegen id : 12]
Input [1]: [segment#35]
Keys [1]: [segment#35]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#36]
Results [2]: [segment#35, count#37]

(58) CometColumnarExchange
Input [2]: [segment#35, count#37]
Arguments: hashpartitioning(segment#35, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8]

(59) CometColumnarToRow [codegen id : 13]
Input [2]: [segment#35, count#37]

(60) HashAggregate [codegen id : 13]
Input [2]: [segment#35, count#37]
Keys [1]: [segment#35]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#38]
Results [3]: [segment#35, count(1)#38 AS num_customers#39, (segment#35 * 50) AS segment_base#40]

(61) TakeOrderedAndProject
Input [3]: [segment#35, num_customers#39, segment_base#40]
Arguments: 100, [segment#35 ASC NULLS FIRST, num_customers#39 ASC NULLS FIRST], [segment#35, num_customers#39, segment_base#40]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#3 IN dynamicpruning#4
BroadcastExchange (66)
+- * CometColumnarToRow (65)
   +- CometProject (64)
      +- CometFilter (63)
         +- CometNativeScan parquet spark_catalog.default.date_dim (62)


(62) CometNativeScan parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#17, d_year#41, d_moy#42]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,12), EqualTo(d_year,1998), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(63) CometFilter
Input [3]: [d_date_sk#17, d_year#41, d_moy#42]
Condition : ((((isnotnull(d_moy#42) AND isnotnull(d_year#41)) AND (d_moy#42 = 12)) AND (d_year#41 = 1998)) AND isnotnull(d_date_sk#17))

(64) CometProject
Input [3]: [d_date_sk#17, d_year#41, d_moy#42]
Arguments: [d_date_sk#17], [d_date_sk#17]

(65) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#17]

(66) BroadcastExchange
Input [1]: [d_date_sk#17]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9]

Subquery:2 Hosting operator id = 5 Hosting Expression = ws_sold_date_sk#10 IN dynamicpruning#4

Subquery:3 Hosting operator id = 30 Hosting Expression = ss_sold_date_sk#22 IN dynamicpruning#23
BroadcastExchange (71)
+- * CometColumnarToRow (70)
   +- CometProject (69)
      +- CometFilter (68)
         +- CometNativeScan parquet spark_catalog.default.date_dim (67)


(67) CometNativeScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#31, d_month_seq#43]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_month_seq), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_month_seq:int>

(68) CometFilter
Input [2]: [d_date_sk#31, d_month_seq#43]
Condition : (((isnotnull(d_month_seq#43) AND (d_month_seq#43 >= Subquery scalar-subquery#44, [id=#45])) AND (d_month_seq#43 <= Subquery scalar-subquery#46, [id=#47])) AND isnotnull(d_date_sk#31))

(69) CometProject
Input [2]: [d_date_sk#31, d_month_seq#43]
Arguments: [d_date_sk#31], [d_date_sk#31]

(70) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#31]

(71) BroadcastExchange
Input [1]: [d_date_sk#31]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=10]

Subquery:4 Hosting operator id = 68 Hosting Expression = Subquery scalar-subquery#44, [id=#45]
* CometColumnarToRow (78)
+- CometHashAggregate (77)
   +- CometExchange (76)
      +- CometHashAggregate (75)
         +- CometProject (74)
            +- CometFilter (73)
               +- CometNativeScan parquet spark_catalog.default.date_dim (72)


(72) CometNativeScan parquet spark_catalog.default.date_dim
Output [3]: [d_month_seq#48, d_year#41, d_moy#42]
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,12)]
ReadSchema: struct<d_month_seq:int,d_year:int,d_moy:int>

(73) CometFilter
Input [3]: [d_month_seq#48, d_year#41, d_moy#42]
Condition : (((isnotnull(d_year#41) AND isnotnull(d_moy#42)) AND (d_year#41 = 1998)) AND (d_moy#42 = 12))

(74) CometProject
Input [3]: [d_month_seq#48, d_year#41, d_moy#42]
Arguments: [(d_month_seq + 1)#49], [(d_month_seq#48 + 1) AS (d_month_seq + 1)#49]

(75) CometHashAggregate
Input [1]: [(d_month_seq + 1)#49]
Keys [1]: [(d_month_seq + 1)#49]
Functions: []

(76) CometExchange
Input [1]: [(d_month_seq + 1)#49]
Arguments: hashpartitioning((d_month_seq + 1)#49, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11]

(77) CometHashAggregate
Input [1]: [(d_month_seq + 1)#49]
Keys [1]: [(d_month_seq + 1)#49]
Functions: []

(78) CometColumnarToRow [codegen id : 1]
Input [1]: [(d_month_seq + 1)#49]

Subquery:5 Hosting operator id = 68 Hosting Expression = Subquery scalar-subquery#46, [id=#47]
* CometColumnarToRow (85)
+- CometHashAggregate (84)
   +- CometExchange (83)
      +- CometHashAggregate (82)
         +- CometProject (81)
            +- CometFilter (80)
               +- CometNativeScan parquet spark_catalog.default.date_dim (79)


(79) CometNativeScan parquet spark_catalog.default.date_dim
Output [3]: [d_month_seq#48, d_year#41, d_moy#42]
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,12)]
ReadSchema: struct<d_month_seq:int,d_year:int,d_moy:int>

(80) CometFilter
Input [3]: [d_month_seq#48, d_year#41, d_moy#42]
Condition : (((isnotnull(d_year#41) AND isnotnull(d_moy#42)) AND (d_year#41 = 1998)) AND (d_moy#42 = 12))

(81) CometProject
Input [3]: [d_month_seq#48, d_year#41, d_moy#42]
Arguments: [(d_month_seq + 3)#50], [(d_month_seq#48 + 3) AS (d_month_seq + 3)#50]

(82) CometHashAggregate
Input [1]: [(d_month_seq + 3)#50]
Keys [1]: [(d_month_seq + 3)#50]
Functions: []

(83) CometExchange
Input [1]: [(d_month_seq + 3)#50]
Arguments: hashpartitioning((d_month_seq + 3)#50, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=12]

(84) CometHashAggregate
Input [1]: [(d_month_seq + 3)#50]
Keys [1]: [(d_month_seq + 3)#50]
Functions: []

(85) CometColumnarToRow [codegen id : 1]
Input [1]: [(d_month_seq + 3)#50]


