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


(1) Scan parquet spark_catalog.default.customer_address
Output [3]: [ca_address_sk#1, ca_county#2, ca_state#3]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_address]
PushedFilters: [IsNotNull(ca_address_sk), IsNotNull(ca_county), IsNotNull(ca_state)]
ReadSchema: struct<ca_address_sk:int,ca_county:string,ca_state:string>

(2) ColumnarToRow [codegen id : 2]
Input [3]: [ca_address_sk#1, ca_county#2, ca_state#3]

(3) Filter [codegen id : 2]
Input [3]: [ca_address_sk#1, ca_county#2, ca_state#3]
Condition : ((isnotnull(ca_address_sk#1) AND isnotnull(ca_county#2)) AND isnotnull(ca_state#3))

(4) Scan parquet spark_catalog.default.store
Output [2]: [s_county#4, s_state#5]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_county), IsNotNull(s_state)]
ReadSchema: struct<s_county:string,s_state:string>

(5) ColumnarToRow [codegen id : 1]
Input [2]: [s_county#4, s_state#5]

(6) Filter [codegen id : 1]
Input [2]: [s_county#4, s_state#5]
Condition : (isnotnull(s_county#4) AND isnotnull(s_state#5))

(7) BroadcastExchange
Input [2]: [s_county#4, s_state#5]
Arguments: HashedRelationBroadcastMode(List(input[0, string, false], input[1, string, false]),false), [plan_id=1]

(8) BroadcastHashJoin [codegen id : 2]
Left keys [2]: [ca_county#2, ca_state#3]
Right keys [2]: [s_county#4, s_state#5]
Join type: Inner
Join condition: None

(9) Project [codegen id : 2]
Output [1]: [ca_address_sk#1]
Input [5]: [ca_address_sk#1, ca_county#2, ca_state#3, s_county#4, s_state#5]

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

(11) Scan parquet spark_catalog.default.catalog_sales
Output [3]: [cs_bill_customer_sk#6, cs_item_sk#7, cs_sold_date_sk#8]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#8), dynamicpruningexpression(cs_sold_date_sk#8 IN dynamicpruning#9)]
PushedFilters: [IsNotNull(cs_item_sk), IsNotNull(cs_bill_customer_sk)]
ReadSchema: struct<cs_bill_customer_sk:int,cs_item_sk:int>

(12) ColumnarToRow [codegen id : 4]
Input [3]: [cs_bill_customer_sk#6, cs_item_sk#7, cs_sold_date_sk#8]

(13) Filter [codegen id : 4]
Input [3]: [cs_bill_customer_sk#6, cs_item_sk#7, cs_sold_date_sk#8]
Condition : (isnotnull(cs_item_sk#7) AND isnotnull(cs_bill_customer_sk#6))

(14) Project [codegen id : 4]
Output [3]: [cs_sold_date_sk#8 AS sold_date_sk#10, cs_bill_customer_sk#6 AS customer_sk#11, cs_item_sk#7 AS item_sk#12]
Input [3]: [cs_bill_customer_sk#6, cs_item_sk#7, cs_sold_date_sk#8]

(15) Scan parquet spark_catalog.default.item
Output [3]: [i_item_sk#13, i_class#14, i_category#15]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_category), IsNotNull(i_class), EqualTo(i_category,Women                                             ), EqualTo(i_class,maternity                                         ), IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_class:string,i_category:string>

(16) ColumnarToRow [codegen id : 3]
Input [3]: [i_item_sk#13, i_class#14, i_category#15]

(17) Filter [codegen id : 3]
Input [3]: [i_item_sk#13, i_class#14, i_category#15]
Condition : ((((isnotnull(i_category#15) AND isnotnull(i_class#14)) AND (i_category#15 = Women                                             )) AND (i_class#14 = maternity                                         )) AND isnotnull(i_item_sk#13))

(18) Project [codegen id : 3]
Output [1]: [i_item_sk#13]
Input [3]: [i_item_sk#13, i_class#14, i_category#15]

(19) BroadcastExchange
Input [1]: [i_item_sk#13]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]

(20) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [item_sk#12]
Right keys [1]: [i_item_sk#13]
Join type: Inner
Join condition: None

(21) Project [codegen id : 4]
Output [2]: [sold_date_sk#10, customer_sk#11]
Input [4]: [sold_date_sk#10, customer_sk#11, item_sk#12, i_item_sk#13]

(22) Scan parquet spark_catalog.default.web_sales
Output [3]: [ws_item_sk#16, ws_bill_customer_sk#17, ws_sold_date_sk#18]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#18), dynamicpruningexpression(ws_sold_date_sk#18 IN dynamicpruning#9)]
PushedFilters: [IsNotNull(ws_item_sk), IsNotNull(ws_bill_customer_sk)]
ReadSchema: struct<ws_item_sk:int,ws_bill_customer_sk:int>

(23) ColumnarToRow [codegen id : 6]
Input [3]: [ws_item_sk#16, ws_bill_customer_sk#17, ws_sold_date_sk#18]

(24) Filter [codegen id : 6]
Input [3]: [ws_item_sk#16, ws_bill_customer_sk#17, ws_sold_date_sk#18]
Condition : (isnotnull(ws_item_sk#16) AND isnotnull(ws_bill_customer_sk#17))

(25) Project [codegen id : 6]
Output [3]: [ws_sold_date_sk#18 AS sold_date_sk#19, ws_bill_customer_sk#17 AS customer_sk#20, ws_item_sk#16 AS item_sk#21]
Input [3]: [ws_item_sk#16, ws_bill_customer_sk#17, ws_sold_date_sk#18]

(26) ReusedExchange [Reuses operator id: 19]
Output [1]: [i_item_sk#22]

(27) BroadcastHashJoin [codegen id : 6]
Left keys [1]: [item_sk#21]
Right keys [1]: [i_item_sk#22]
Join type: Inner
Join condition: None

(28) Project [codegen id : 6]
Output [2]: [sold_date_sk#19, customer_sk#20]
Input [4]: [sold_date_sk#19, customer_sk#20, item_sk#21, i_item_sk#22]

(29) Union

(30) ReusedExchange [Reuses operator id: 64]
Output [1]: [d_date_sk#23]

(31) BroadcastHashJoin [codegen id : 8]
Left keys [1]: [sold_date_sk#10]
Right keys [1]: [d_date_sk#23]
Join type: Inner
Join condition: None

(32) Project [codegen id : 8]
Output [1]: [customer_sk#11]
Input [3]: [sold_date_sk#10, customer_sk#11, d_date_sk#23]

(33) BroadcastExchange
Input [1]: [customer_sk#11]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4]

(34) Scan parquet spark_catalog.default.customer
Output [2]: [c_customer_sk#24, c_current_addr_sk#25]
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>

(35) ColumnarToRow
Input [2]: [c_customer_sk#24, c_current_addr_sk#25]

(36) Filter
Input [2]: [c_customer_sk#24, c_current_addr_sk#25]
Condition : (isnotnull(c_customer_sk#24) AND isnotnull(c_current_addr_sk#25))

(37) BroadcastHashJoin [codegen id : 9]
Left keys [1]: [customer_sk#11]
Right keys [1]: [c_customer_sk#24]
Join type: Inner
Join condition: None

(38) Project [codegen id : 9]
Output [2]: [c_customer_sk#24, c_current_addr_sk#25]
Input [3]: [customer_sk#11, c_customer_sk#24, c_current_addr_sk#25]

(39) HashAggregate [codegen id : 9]
Input [2]: [c_customer_sk#24, c_current_addr_sk#25]
Keys [2]: [c_customer_sk#24, c_current_addr_sk#25]
Functions: []
Aggregate Attributes: []
Results [2]: [c_customer_sk#24, c_current_addr_sk#25]

(40) Exchange
Input [2]: [c_customer_sk#24, c_current_addr_sk#25]
Arguments: hashpartitioning(c_customer_sk#24, c_current_addr_sk#25, 5), ENSURE_REQUIREMENTS, [plan_id=5]

(41) HashAggregate
Input [2]: [c_customer_sk#24, c_current_addr_sk#25]
Keys [2]: [c_customer_sk#24, c_current_addr_sk#25]
Functions: []
Aggregate Attributes: []
Results [2]: [c_customer_sk#24, c_current_addr_sk#25]

(42) BroadcastHashJoin [codegen id : 10]
Left keys [1]: [ca_address_sk#1]
Right keys [1]: [c_current_addr_sk#25]
Join type: Inner
Join condition: None

(43) Project [codegen id : 10]
Output [1]: [c_customer_sk#24]
Input [3]: [ca_address_sk#1, c_customer_sk#24, c_current_addr_sk#25]

(44) BroadcastExchange
Input [1]: [c_customer_sk#24]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6]

(45) Scan parquet spark_catalog.default.store_sales
Output [3]: [ss_customer_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#28), dynamicpruningexpression(ss_sold_date_sk#28 IN dynamicpruning#29)]
PushedFilters: [IsNotNull(ss_customer_sk)]
ReadSchema: struct<ss_customer_sk:int,ss_ext_sales_price:decimal(7,2)>

(46) ColumnarToRow
Input [3]: [ss_customer_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28]

(47) Filter
Input [3]: [ss_customer_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28]
Condition : isnotnull(ss_customer_sk#26)

(48) BroadcastHashJoin [codegen id : 12]
Left keys [1]: [c_customer_sk#24]
Right keys [1]: [ss_customer_sk#26]
Join type: Inner
Join condition: None

(49) Project [codegen id : 12]
Output [3]: [c_customer_sk#24, ss_ext_sales_price#27, ss_sold_date_sk#28]
Input [4]: [c_customer_sk#24, ss_customer_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28]

(50) ReusedExchange [Reuses operator id: 69]
Output [1]: [d_date_sk#30]

(51) BroadcastHashJoin [codegen id : 12]
Left keys [1]: [ss_sold_date_sk#28]
Right keys [1]: [d_date_sk#30]
Join type: Inner
Join condition: None

(52) Project [codegen id : 12]
Output [2]: [c_customer_sk#24, ss_ext_sales_price#27]
Input [4]: [c_customer_sk#24, ss_ext_sales_price#27, ss_sold_date_sk#28, d_date_sk#30]

(53) HashAggregate [codegen id : 12]
Input [2]: [c_customer_sk#24, ss_ext_sales_price#27]
Keys [1]: [c_customer_sk#24]
Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#27))]
Aggregate Attributes [1]: [sum#31]
Results [2]: [c_customer_sk#24, sum#32]

(54) Exchange
Input [2]: [c_customer_sk#24, sum#32]
Arguments: hashpartitioning(c_customer_sk#24, 5), ENSURE_REQUIREMENTS, [plan_id=7]

(55) HashAggregate [codegen id : 13]
Input [2]: [c_customer_sk#24, sum#32]
Keys [1]: [c_customer_sk#24]
Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#27))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#27))#33]
Results [1]: [cast((MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#27))#33,17,2) / 50) as int) AS segment#34]

(56) HashAggregate [codegen id : 13]
Input [1]: [segment#34]
Keys [1]: [segment#34]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#35]
Results [2]: [segment#34, count#36]

(57) Exchange
Input [2]: [segment#34, count#36]
Arguments: hashpartitioning(segment#34, 5), ENSURE_REQUIREMENTS, [plan_id=8]

(58) HashAggregate [codegen id : 14]
Input [2]: [segment#34, count#36]
Keys [1]: [segment#34]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#37]
Results [3]: [segment#34, count(1)#37 AS num_customers#38, (segment#34 * 50) AS segment_base#39]

(59) TakeOrderedAndProject
Input [3]: [segment#34, num_customers#38, segment_base#39]
Arguments: 100, [segment#34 ASC NULLS FIRST, num_customers#38 ASC NULLS FIRST], [segment#34, num_customers#38, segment_base#39]

===== Subqueries =====

Subquery:1 Hosting operator id = 11 Hosting Expression = cs_sold_date_sk#8 IN dynamicpruning#9
BroadcastExchange (64)
+- * Project (63)
   +- * Filter (62)
      +- * ColumnarToRow (61)
         +- Scan parquet spark_catalog.default.date_dim (60)


(60) Scan parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#23, d_year#40, d_moy#41]
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>

(61) ColumnarToRow [codegen id : 1]
Input [3]: [d_date_sk#23, d_year#40, d_moy#41]

(62) Filter [codegen id : 1]
Input [3]: [d_date_sk#23, d_year#40, d_moy#41]
Condition : ((((isnotnull(d_moy#41) AND isnotnull(d_year#40)) AND (d_moy#41 = 12)) AND (d_year#40 = 1998)) AND isnotnull(d_date_sk#23))

(63) Project [codegen id : 1]
Output [1]: [d_date_sk#23]
Input [3]: [d_date_sk#23, d_year#40, d_moy#41]

(64) BroadcastExchange
Input [1]: [d_date_sk#23]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9]

Subquery:2 Hosting operator id = 22 Hosting Expression = ws_sold_date_sk#18 IN dynamicpruning#9

Subquery:3 Hosting operator id = 45 Hosting Expression = ss_sold_date_sk#28 IN dynamicpruning#29
BroadcastExchange (69)
+- * Project (68)
   +- * Filter (67)
      +- * ColumnarToRow (66)
         +- Scan parquet spark_catalog.default.date_dim (65)


(65) Scan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#30, d_month_seq#42]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,ScalarSubquery#43), LessThanOrEqual(d_month_seq,ScalarSubquery#44), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_month_seq:int>

(66) ColumnarToRow [codegen id : 1]
Input [2]: [d_date_sk#30, d_month_seq#42]

(67) Filter [codegen id : 1]
Input [2]: [d_date_sk#30, d_month_seq#42]
Condition : (((isnotnull(d_month_seq#42) AND (d_month_seq#42 >= ReusedSubquery Subquery scalar-subquery#43, [id=#10])) AND (d_month_seq#42 <= ReusedSubquery Subquery scalar-subquery#44, [id=#11])) AND isnotnull(d_date_sk#30))

(68) Project [codegen id : 1]
Output [1]: [d_date_sk#30]
Input [2]: [d_date_sk#30, d_month_seq#42]

(69) BroadcastExchange
Input [1]: [d_date_sk#30]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12]

Subquery:4 Hosting operator id = 67 Hosting Expression = ReusedSubquery Subquery scalar-subquery#43, [id=#10]

Subquery:5 Hosting operator id = 67 Hosting Expression = ReusedSubquery Subquery scalar-subquery#44, [id=#11]

Subquery:6 Hosting operator id = 65 Hosting Expression = Subquery scalar-subquery#43, [id=#10]
* HashAggregate (76)
+- Exchange (75)
   +- * HashAggregate (74)
      +- * Project (73)
         +- * Filter (72)
            +- * ColumnarToRow (71)
               +- Scan parquet spark_catalog.default.date_dim (70)


(70) Scan parquet spark_catalog.default.date_dim
Output [3]: [d_month_seq#45, d_year#46, d_moy#47]
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>

(71) ColumnarToRow [codegen id : 1]
Input [3]: [d_month_seq#45, d_year#46, d_moy#47]

(72) Filter [codegen id : 1]
Input [3]: [d_month_seq#45, d_year#46, d_moy#47]
Condition : (((isnotnull(d_year#46) AND isnotnull(d_moy#47)) AND (d_year#46 = 1998)) AND (d_moy#47 = 12))

(73) Project [codegen id : 1]
Output [1]: [(d_month_seq#45 + 1) AS (d_month_seq + 1)#48]
Input [3]: [d_month_seq#45, d_year#46, d_moy#47]

(74) HashAggregate [codegen id : 1]
Input [1]: [(d_month_seq + 1)#48]
Keys [1]: [(d_month_seq + 1)#48]
Functions: []
Aggregate Attributes: []
Results [1]: [(d_month_seq + 1)#48]

(75) Exchange
Input [1]: [(d_month_seq + 1)#48]
Arguments: hashpartitioning((d_month_seq + 1)#48, 5), ENSURE_REQUIREMENTS, [plan_id=13]

(76) HashAggregate [codegen id : 2]
Input [1]: [(d_month_seq + 1)#48]
Keys [1]: [(d_month_seq + 1)#48]
Functions: []
Aggregate Attributes: []
Results [1]: [(d_month_seq + 1)#48]

Subquery:7 Hosting operator id = 65 Hosting Expression = Subquery scalar-subquery#44, [id=#11]
* HashAggregate (83)
+- Exchange (82)
   +- * HashAggregate (81)
      +- * Project (80)
         +- * Filter (79)
            +- * ColumnarToRow (78)
               +- Scan parquet spark_catalog.default.date_dim (77)


(77) Scan parquet spark_catalog.default.date_dim
Output [3]: [d_month_seq#49, d_year#50, d_moy#51]
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>

(78) ColumnarToRow [codegen id : 1]
Input [3]: [d_month_seq#49, d_year#50, d_moy#51]

(79) Filter [codegen id : 1]
Input [3]: [d_month_seq#49, d_year#50, d_moy#51]
Condition : (((isnotnull(d_year#50) AND isnotnull(d_moy#51)) AND (d_year#50 = 1998)) AND (d_moy#51 = 12))

(80) Project [codegen id : 1]
Output [1]: [(d_month_seq#49 + 3) AS (d_month_seq + 3)#52]
Input [3]: [d_month_seq#49, d_year#50, d_moy#51]

(81) HashAggregate [codegen id : 1]
Input [1]: [(d_month_seq + 3)#52]
Keys [1]: [(d_month_seq + 3)#52]
Functions: []
Aggregate Attributes: []
Results [1]: [(d_month_seq + 3)#52]

(82) Exchange
Input [1]: [(d_month_seq + 3)#52]
Arguments: hashpartitioning((d_month_seq + 3)#52, 5), ENSURE_REQUIREMENTS, [plan_id=14]

(83) HashAggregate [codegen id : 2]
Input [1]: [(d_month_seq + 3)#52]
Keys [1]: [(d_month_seq + 3)#52]
Functions: []
Aggregate Attributes: []
Results [1]: [(d_month_seq + 3)#52]


