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


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

(2) ColumnarToRow [codegen id : 4]
Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_quantity#3, ss_sales_price#4, ss_sold_date_sk#5]

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

(4) Scan parquet spark_catalog.default.date_dim
Output [5]: [d_date_sk#6, d_month_seq#7, d_year#8, d_moy#9, d_qoy#10]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_month_seq:int,d_year:int,d_moy:int,d_qoy:int>

(5) ColumnarToRow [codegen id : 1]
Input [5]: [d_date_sk#6, d_month_seq#7, d_year#8, d_moy#9, d_qoy#10]

(6) Filter [codegen id : 1]
Input [5]: [d_date_sk#6, d_month_seq#7, d_year#8, d_moy#9, d_qoy#10]
Condition : (((isnotnull(d_month_seq#7) AND (d_month_seq#7 >= 1212)) AND (d_month_seq#7 <= 1223)) AND isnotnull(d_date_sk#6))

(7) Project [codegen id : 1]
Output [4]: [d_date_sk#6, d_year#8, d_moy#9, d_qoy#10]
Input [5]: [d_date_sk#6, d_month_seq#7, d_year#8, d_moy#9, d_qoy#10]

(8) BroadcastExchange
Input [4]: [d_date_sk#6, d_year#8, d_moy#9, d_qoy#10]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=1]

(9) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [ss_sold_date_sk#5]
Right keys [1]: [d_date_sk#6]
Join type: Inner
Join condition: None

(10) Project [codegen id : 4]
Output [7]: [ss_item_sk#1, ss_store_sk#2, ss_quantity#3, ss_sales_price#4, d_year#8, d_moy#9, d_qoy#10]
Input [9]: [ss_item_sk#1, ss_store_sk#2, ss_quantity#3, ss_sales_price#4, ss_sold_date_sk#5, d_date_sk#6, d_year#8, d_moy#9, d_qoy#10]

(11) Scan parquet spark_catalog.default.store
Output [2]: [s_store_sk#11, s_store_id#12]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_store_id:string>

(12) ColumnarToRow [codegen id : 2]
Input [2]: [s_store_sk#11, s_store_id#12]

(13) Filter [codegen id : 2]
Input [2]: [s_store_sk#11, s_store_id#12]
Condition : isnotnull(s_store_sk#11)

(14) BroadcastExchange
Input [2]: [s_store_sk#11, s_store_id#12]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=2]

(15) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [ss_store_sk#2]
Right keys [1]: [s_store_sk#11]
Join type: Inner
Join condition: None

(16) Project [codegen id : 4]
Output [7]: [ss_item_sk#1, ss_quantity#3, ss_sales_price#4, d_year#8, d_moy#9, d_qoy#10, s_store_id#12]
Input [9]: [ss_item_sk#1, ss_store_sk#2, ss_quantity#3, ss_sales_price#4, d_year#8, d_moy#9, d_qoy#10, s_store_sk#11, s_store_id#12]

(17) Scan parquet spark_catalog.default.item
Output [5]: [i_item_sk#13, i_brand#14, i_class#15, i_category#16, i_product_name#17]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_brand:string,i_class:string,i_category:string,i_product_name:string>

(18) ColumnarToRow [codegen id : 3]
Input [5]: [i_item_sk#13, i_brand#14, i_class#15, i_category#16, i_product_name#17]

(19) Filter [codegen id : 3]
Input [5]: [i_item_sk#13, i_brand#14, i_class#15, i_category#16, i_product_name#17]
Condition : isnotnull(i_item_sk#13)

(20) BroadcastExchange
Input [5]: [i_item_sk#13, i_brand#14, i_class#15, i_category#16, i_product_name#17]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3]

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

(22) Project [codegen id : 4]
Output [10]: [ss_quantity#3, ss_sales_price#4, d_year#8, d_moy#9, d_qoy#10, s_store_id#12, i_brand#14, i_class#15, i_category#16, i_product_name#17]
Input [12]: [ss_item_sk#1, ss_quantity#3, ss_sales_price#4, d_year#8, d_moy#9, d_qoy#10, s_store_id#12, i_item_sk#13, i_brand#14, i_class#15, i_category#16, i_product_name#17]

(23) HashAggregate [codegen id : 4]
Input [10]: [ss_quantity#3, ss_sales_price#4, d_year#8, d_moy#9, d_qoy#10, s_store_id#12, i_brand#14, i_class#15, i_category#16, i_product_name#17]
Keys [8]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12]
Functions [1]: [partial_sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))]
Aggregate Attributes [2]: [sum#18, isEmpty#19]
Results [10]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sum#20, isEmpty#21]

(24) Exchange
Input [10]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sum#20, isEmpty#21]
Arguments: hashpartitioning(i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, 5), ENSURE_REQUIREMENTS, [plan_id=4]

(25) HashAggregate [codegen id : 5]
Input [10]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sum#20, isEmpty#21]
Keys [8]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12]
Functions [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))]
Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#22]
Results [9]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, cast(sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#22 as decimal(38,2)) AS sumsales#23]

(26) ReusedExchange [Reuses operator id: 24]
Output [10]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sum#24, isEmpty#25]

(27) HashAggregate [codegen id : 10]
Input [10]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sum#24, isEmpty#25]
Keys [8]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12]
Functions [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))]
Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#22]
Results [8]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#22 AS sumsales#26]

(28) HashAggregate [codegen id : 10]
Input [8]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, sumsales#26]
Keys [7]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9]
Functions [1]: [partial_sum(sumsales#26)]
Aggregate Attributes [2]: [sum#27, isEmpty#28]
Results [9]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, sum#29, isEmpty#30]

(29) Exchange
Input [9]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, sum#29, isEmpty#30]
Arguments: hashpartitioning(i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, 5), ENSURE_REQUIREMENTS, [plan_id=5]

(30) HashAggregate [codegen id : 11]
Input [9]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, sum#29, isEmpty#30]
Keys [7]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9]
Functions [1]: [sum(sumsales#26)]
Aggregate Attributes [1]: [sum(sumsales#26)#31]
Results [9]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, null AS s_store_id#32, sum(sumsales#26)#31 AS sumsales#33]

(31) ReusedExchange [Reuses operator id: 24]
Output [10]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sum#34, isEmpty#35]

(32) HashAggregate [codegen id : 16]
Input [10]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sum#34, isEmpty#35]
Keys [8]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12]
Functions [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))]
Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#22]
Results [7]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#22 AS sumsales#26]

(33) HashAggregate [codegen id : 16]
Input [7]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, sumsales#26]
Keys [6]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10]
Functions [1]: [partial_sum(sumsales#26)]
Aggregate Attributes [2]: [sum#36, isEmpty#37]
Results [8]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, sum#38, isEmpty#39]

(34) Exchange
Input [8]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, sum#38, isEmpty#39]
Arguments: hashpartitioning(i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, 5), ENSURE_REQUIREMENTS, [plan_id=6]

(35) HashAggregate [codegen id : 17]
Input [8]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, sum#38, isEmpty#39]
Keys [6]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10]
Functions [1]: [sum(sumsales#26)]
Aggregate Attributes [1]: [sum(sumsales#26)#40]
Results [9]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, null AS d_moy#41, null AS s_store_id#42, sum(sumsales#26)#40 AS sumsales#43]

(36) ReusedExchange [Reuses operator id: 24]
Output [10]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sum#44, isEmpty#45]

(37) HashAggregate [codegen id : 22]
Input [10]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sum#44, isEmpty#45]
Keys [8]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12]
Functions [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))]
Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#22]
Results [6]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#22 AS sumsales#26]

(38) HashAggregate [codegen id : 22]
Input [6]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, sumsales#26]
Keys [5]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8]
Functions [1]: [partial_sum(sumsales#26)]
Aggregate Attributes [2]: [sum#46, isEmpty#47]
Results [7]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, sum#48, isEmpty#49]

(39) Exchange
Input [7]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, sum#48, isEmpty#49]
Arguments: hashpartitioning(i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, 5), ENSURE_REQUIREMENTS, [plan_id=7]

(40) HashAggregate [codegen id : 23]
Input [7]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, sum#48, isEmpty#49]
Keys [5]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8]
Functions [1]: [sum(sumsales#26)]
Aggregate Attributes [1]: [sum(sumsales#26)#50]
Results [9]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, null AS d_qoy#51, null AS d_moy#52, null AS s_store_id#53, sum(sumsales#26)#50 AS sumsales#54]

(41) ReusedExchange [Reuses operator id: 24]
Output [10]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sum#55, isEmpty#56]

(42) HashAggregate [codegen id : 28]
Input [10]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sum#55, isEmpty#56]
Keys [8]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12]
Functions [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))]
Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#22]
Results [5]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#22 AS sumsales#26]

(43) HashAggregate [codegen id : 28]
Input [5]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, sumsales#26]
Keys [4]: [i_category#16, i_class#15, i_brand#14, i_product_name#17]
Functions [1]: [partial_sum(sumsales#26)]
Aggregate Attributes [2]: [sum#57, isEmpty#58]
Results [6]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, sum#59, isEmpty#60]

(44) Exchange
Input [6]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, sum#59, isEmpty#60]
Arguments: hashpartitioning(i_category#16, i_class#15, i_brand#14, i_product_name#17, 5), ENSURE_REQUIREMENTS, [plan_id=8]

(45) HashAggregate [codegen id : 29]
Input [6]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, sum#59, isEmpty#60]
Keys [4]: [i_category#16, i_class#15, i_brand#14, i_product_name#17]
Functions [1]: [sum(sumsales#26)]
Aggregate Attributes [1]: [sum(sumsales#26)#61]
Results [9]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, null AS d_year#62, null AS d_qoy#63, null AS d_moy#64, null AS s_store_id#65, sum(sumsales#26)#61 AS sumsales#66]

(46) ReusedExchange [Reuses operator id: 24]
Output [10]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sum#67, isEmpty#68]

(47) HashAggregate [codegen id : 34]
Input [10]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sum#67, isEmpty#68]
Keys [8]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12]
Functions [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))]
Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#22]
Results [4]: [i_category#16, i_class#15, i_brand#14, sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#22 AS sumsales#26]

(48) HashAggregate [codegen id : 34]
Input [4]: [i_category#16, i_class#15, i_brand#14, sumsales#26]
Keys [3]: [i_category#16, i_class#15, i_brand#14]
Functions [1]: [partial_sum(sumsales#26)]
Aggregate Attributes [2]: [sum#69, isEmpty#70]
Results [5]: [i_category#16, i_class#15, i_brand#14, sum#71, isEmpty#72]

(49) Exchange
Input [5]: [i_category#16, i_class#15, i_brand#14, sum#71, isEmpty#72]
Arguments: hashpartitioning(i_category#16, i_class#15, i_brand#14, 5), ENSURE_REQUIREMENTS, [plan_id=9]

(50) HashAggregate [codegen id : 35]
Input [5]: [i_category#16, i_class#15, i_brand#14, sum#71, isEmpty#72]
Keys [3]: [i_category#16, i_class#15, i_brand#14]
Functions [1]: [sum(sumsales#26)]
Aggregate Attributes [1]: [sum(sumsales#26)#73]
Results [9]: [i_category#16, i_class#15, i_brand#14, null AS i_product_name#74, null AS d_year#75, null AS d_qoy#76, null AS d_moy#77, null AS s_store_id#78, sum(sumsales#26)#73 AS sumsales#79]

(51) ReusedExchange [Reuses operator id: 24]
Output [10]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sum#80, isEmpty#81]

(52) HashAggregate [codegen id : 40]
Input [10]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sum#80, isEmpty#81]
Keys [8]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12]
Functions [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))]
Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#22]
Results [3]: [i_category#16, i_class#15, sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#22 AS sumsales#26]

(53) HashAggregate [codegen id : 40]
Input [3]: [i_category#16, i_class#15, sumsales#26]
Keys [2]: [i_category#16, i_class#15]
Functions [1]: [partial_sum(sumsales#26)]
Aggregate Attributes [2]: [sum#82, isEmpty#83]
Results [4]: [i_category#16, i_class#15, sum#84, isEmpty#85]

(54) Exchange
Input [4]: [i_category#16, i_class#15, sum#84, isEmpty#85]
Arguments: hashpartitioning(i_category#16, i_class#15, 5), ENSURE_REQUIREMENTS, [plan_id=10]

(55) HashAggregate [codegen id : 41]
Input [4]: [i_category#16, i_class#15, sum#84, isEmpty#85]
Keys [2]: [i_category#16, i_class#15]
Functions [1]: [sum(sumsales#26)]
Aggregate Attributes [1]: [sum(sumsales#26)#86]
Results [9]: [i_category#16, i_class#15, null AS i_brand#87, null AS i_product_name#88, null AS d_year#89, null AS d_qoy#90, null AS d_moy#91, null AS s_store_id#92, sum(sumsales#26)#86 AS sumsales#93]

(56) ReusedExchange [Reuses operator id: 24]
Output [10]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sum#94, isEmpty#95]

(57) HashAggregate [codegen id : 46]
Input [10]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sum#94, isEmpty#95]
Keys [8]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12]
Functions [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))]
Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#22]
Results [2]: [i_category#16, sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#22 AS sumsales#26]

(58) HashAggregate [codegen id : 46]
Input [2]: [i_category#16, sumsales#26]
Keys [1]: [i_category#16]
Functions [1]: [partial_sum(sumsales#26)]
Aggregate Attributes [2]: [sum#96, isEmpty#97]
Results [3]: [i_category#16, sum#98, isEmpty#99]

(59) Exchange
Input [3]: [i_category#16, sum#98, isEmpty#99]
Arguments: hashpartitioning(i_category#16, 5), ENSURE_REQUIREMENTS, [plan_id=11]

(60) HashAggregate [codegen id : 47]
Input [3]: [i_category#16, sum#98, isEmpty#99]
Keys [1]: [i_category#16]
Functions [1]: [sum(sumsales#26)]
Aggregate Attributes [1]: [sum(sumsales#26)#100]
Results [9]: [i_category#16, null AS i_class#101, null AS i_brand#102, null AS i_product_name#103, null AS d_year#104, null AS d_qoy#105, null AS d_moy#106, null AS s_store_id#107, sum(sumsales#26)#100 AS sumsales#108]

(61) ReusedExchange [Reuses operator id: 24]
Output [10]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sum#109, isEmpty#110]

(62) HashAggregate [codegen id : 52]
Input [10]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sum#109, isEmpty#110]
Keys [8]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12]
Functions [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))]
Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#22]
Results [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#22 AS sumsales#26]

(63) HashAggregate [codegen id : 52]
Input [1]: [sumsales#26]
Keys: []
Functions [1]: [partial_sum(sumsales#26)]
Aggregate Attributes [2]: [sum#111, isEmpty#112]
Results [2]: [sum#113, isEmpty#114]

(64) Exchange
Input [2]: [sum#113, isEmpty#114]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=12]

(65) HashAggregate [codegen id : 53]
Input [2]: [sum#113, isEmpty#114]
Keys: []
Functions [1]: [sum(sumsales#26)]
Aggregate Attributes [1]: [sum(sumsales#26)#115]
Results [9]: [null AS i_category#116, null AS i_class#117, null AS i_brand#118, null AS i_product_name#119, null AS d_year#120, null AS d_qoy#121, null AS d_moy#122, null AS s_store_id#123, sum(sumsales#26)#115 AS sumsales#124]

(66) Union

(67) Exchange
Input [9]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sumsales#23]
Arguments: hashpartitioning(i_category#16, 5), ENSURE_REQUIREMENTS, [plan_id=13]

(68) Sort [codegen id : 54]
Input [9]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sumsales#23]
Arguments: [i_category#16 ASC NULLS FIRST, sumsales#23 DESC NULLS LAST], false, 0

(69) Window
Input [9]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sumsales#23]
Arguments: [rank(sumsales#23) windowspecdefinition(i_category#16, sumsales#23 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#125], [i_category#16], [sumsales#23 DESC NULLS LAST]

(70) Filter [codegen id : 55]
Input [10]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sumsales#23, rk#125]
Condition : (rk#125 <= 100)

(71) TakeOrderedAndProject
Input [10]: [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sumsales#23, rk#125]
Arguments: 100, [i_category#16 ASC NULLS FIRST, i_class#15 ASC NULLS FIRST, i_brand#14 ASC NULLS FIRST, i_product_name#17 ASC NULLS FIRST, d_year#8 ASC NULLS FIRST, d_qoy#10 ASC NULLS FIRST, d_moy#9 ASC NULLS FIRST, s_store_id#12 ASC NULLS FIRST, sumsales#23 ASC NULLS FIRST, rk#125 ASC NULLS FIRST], [i_category#16, i_class#15, i_brand#14, i_product_name#17, d_year#8, d_qoy#10, d_moy#9, s_store_id#12, sumsales#23, rk#125]

