== Physical Plan ==
VeloxColumnarToRow (102)
+- ^ ProjectExecTransformer (100)
   +- ^ VeloxBroadcastNestedLoopJoinExecTransformer Inner BuildRight (99)
      :- ^ ProjectExecTransformer (59)
      :  +- ^ RegularHashAggregateExecTransformer (58)
      :     +- ^ InputIteratorTransformer (57)
      :        +- ColumnarExchange (55)
      :           +- VeloxResizeBatches (54)
      :              +- ^ FlushableHashAggregateExecTransformer (52)
      :                 +- ^ ProjectExecTransformer (51)
      :                    +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (50)
      :                       :- ^ ProjectExecTransformer (42)
      :                       :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (41)
      :                       :     :- ^ ProjectExecTransformer (33)
      :                       :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (32)
      :                       :     :     :- ^ ProjectExecTransformer (25)
      :                       :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (24)
      :                       :     :     :     :- ^ ProjectExecTransformer (20)
      :                       :     :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (19)
      :                       :     :     :     :     :- ^ ProjectExecTransformer (11)
      :                       :     :     :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (10)
      :                       :     :     :     :     :     :- ^ FilterExecTransformer (2)
      :                       :     :     :     :     :     :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store_sales (1)
      :                       :     :     :     :     :     +- ^ InputIteratorTransformer (9)
      :                       :     :     :     :     :        +- ColumnarBroadcastExchange (7)
      :                       :     :     :     :     :           +- ^ ProjectExecTransformer (5)
      :                       :     :     :     :     :              +- ^ FilterExecTransformer (4)
      :                       :     :     :     :     :                 +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store (3)
      :                       :     :     :     :     +- ^ InputIteratorTransformer (18)
      :                       :     :     :     :        +- ColumnarBroadcastExchange (16)
      :                       :     :     :     :           +- ^ ProjectExecTransformer (14)
      :                       :     :     :     :              +- ^ FilterExecTransformer (13)
      :                       :     :     :     :                 +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.promotion (12)
      :                       :     :     :     +- ^ InputIteratorTransformer (23)
      :                       :     :     :        +- ReusedExchange (21)
      :                       :     :     +- ^ InputIteratorTransformer (31)
      :                       :     :        +- ColumnarBroadcastExchange (29)
      :                       :     :           +- ^ FilterExecTransformer (27)
      :                       :     :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer (26)
      :                       :     +- ^ InputIteratorTransformer (40)
      :                       :        +- ColumnarBroadcastExchange (38)
      :                       :           +- ^ ProjectExecTransformer (36)
      :                       :              +- ^ FilterExecTransformer (35)
      :                       :                 +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_address (34)
      :                       +- ^ InputIteratorTransformer (49)
      :                          +- ColumnarBroadcastExchange (47)
      :                             +- ^ ProjectExecTransformer (45)
      :                                +- ^ FilterExecTransformer (44)
      :                                   +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (43)
      +- ^ InputIteratorTransformer (98)
         +- ColumnarBroadcastExchange (96)
            +- ^ ProjectExecTransformer (94)
               +- ^ RegularHashAggregateExecTransformer (93)
                  +- ^ InputIteratorTransformer (92)
                     +- ColumnarExchange (90)
                        +- VeloxResizeBatches (89)
                           +- ^ FlushableHashAggregateExecTransformer (87)
                              +- ^ ProjectExecTransformer (86)
                                 +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (85)
                                    :- ^ ProjectExecTransformer (81)
                                    :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (80)
                                    :     :- ^ ProjectExecTransformer (76)
                                    :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (75)
                                    :     :     :- ^ ProjectExecTransformer (71)
                                    :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (70)
                                    :     :     :     :- ^ ProjectExecTransformer (66)
                                    :     :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (65)
                                    :     :     :     :     :- ^ FilterExecTransformer (61)
                                    :     :     :     :     :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store_sales (60)
                                    :     :     :     :     +- ^ InputIteratorTransformer (64)
                                    :     :     :     :        +- ReusedExchange (62)
                                    :     :     :     +- ^ InputIteratorTransformer (69)
                                    :     :     :        +- ReusedExchange (67)
                                    :     :     +- ^ InputIteratorTransformer (74)
                                    :     :        +- ReusedExchange (72)
                                    :     +- ^ InputIteratorTransformer (79)
                                    :        +- ReusedExchange (77)
                                    +- ^ InputIteratorTransformer (84)
                                       +- ReusedExchange (82)


(1) FileSourceScanExecTransformer parquet spark_catalog.default.store_sales
Output [6]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_promo_sk#4, ss_ext_sales_price#5, ss_sold_date_sk#6]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#6), dynamicpruningexpression(ss_sold_date_sk#6 IN dynamicpruning#7)]
PushedFilters: [IsNotNull(ss_store_sk), IsNotNull(ss_promo_sk), IsNotNull(ss_customer_sk), IsNotNull(ss_item_sk)]
ReadSchema: struct<ss_item_sk:int,ss_customer_sk:int,ss_store_sk:int,ss_promo_sk:int,ss_ext_sales_price:decimal(7,2)>

(2) FilterExecTransformer
Input [6]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_promo_sk#4, ss_ext_sales_price#5, ss_sold_date_sk#6]
Arguments: (((isnotnull(ss_store_sk#3) AND isnotnull(ss_promo_sk#4)) AND isnotnull(ss_customer_sk#2)) AND isnotnull(ss_item_sk#1))

(3) FileSourceScanExecTransformer parquet spark_catalog.default.store
Output [2]: [s_store_sk#8, s_gmt_offset#9]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_gmt_offset), EqualTo(s_gmt_offset,-5.00), IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_gmt_offset:decimal(5,2)>

(4) FilterExecTransformer
Input [2]: [s_store_sk#8, s_gmt_offset#9]
Arguments: ((isnotnull(s_gmt_offset#9) AND (s_gmt_offset#9 = -5.00)) AND isnotnull(s_store_sk#8))

(5) ProjectExecTransformer
Output [1]: [s_store_sk#8]
Input [2]: [s_store_sk#8, s_gmt_offset#9]

(6) WholeStageCodegenTransformer (2)
Input [1]: [s_store_sk#8]
Arguments: false

(7) ColumnarBroadcastExchange
Input [1]: [s_store_sk#8]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=1]

(8) InputAdapter
Input [1]: [s_store_sk#8]

(9) InputIteratorTransformer
Input [1]: [s_store_sk#8]

(10) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_store_sk#3]
Right keys [1]: [s_store_sk#8]
Join type: Inner
Join condition: None

(11) ProjectExecTransformer
Output [5]: [ss_item_sk#1, ss_customer_sk#2, ss_promo_sk#4, ss_ext_sales_price#5, ss_sold_date_sk#6]
Input [7]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_promo_sk#4, ss_ext_sales_price#5, ss_sold_date_sk#6, s_store_sk#8]

(12) FileSourceScanExecTransformer parquet spark_catalog.default.promotion
Output [4]: [p_promo_sk#10, p_channel_dmail#11, p_channel_email#12, p_channel_tv#13]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/promotion]
PushedFilters: [Or(Or(EqualTo(p_channel_dmail,Y),EqualTo(p_channel_email,Y)),EqualTo(p_channel_tv,Y)), IsNotNull(p_promo_sk)]
ReadSchema: struct<p_promo_sk:int,p_channel_dmail:string,p_channel_email:string,p_channel_tv:string>

(13) FilterExecTransformer
Input [4]: [p_promo_sk#10, p_channel_dmail#11, p_channel_email#12, p_channel_tv#13]
Arguments: ((((p_channel_dmail#11 = Y) OR (p_channel_email#12 = Y)) OR (p_channel_tv#13 = Y)) AND isnotnull(p_promo_sk#10))

(14) ProjectExecTransformer
Output [1]: [p_promo_sk#10]
Input [4]: [p_promo_sk#10, p_channel_dmail#11, p_channel_email#12, p_channel_tv#13]

(15) WholeStageCodegenTransformer (3)
Input [1]: [p_promo_sk#10]
Arguments: false

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

(17) InputAdapter
Input [1]: [p_promo_sk#10]

(18) InputIteratorTransformer
Input [1]: [p_promo_sk#10]

(19) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_promo_sk#4]
Right keys [1]: [p_promo_sk#10]
Join type: Inner
Join condition: None

(20) ProjectExecTransformer
Output [4]: [ss_item_sk#1, ss_customer_sk#2, ss_ext_sales_price#5, ss_sold_date_sk#6]
Input [6]: [ss_item_sk#1, ss_customer_sk#2, ss_promo_sk#4, ss_ext_sales_price#5, ss_sold_date_sk#6, p_promo_sk#10]

(21) ReusedExchange [Reuses operator id: 107]
Output [1]: [d_date_sk#14]

(22) InputAdapter
Input [1]: [d_date_sk#14]

(23) InputIteratorTransformer
Input [1]: [d_date_sk#14]

(24) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_sold_date_sk#6]
Right keys [1]: [d_date_sk#14]
Join type: Inner
Join condition: None

(25) ProjectExecTransformer
Output [3]: [ss_item_sk#1, ss_customer_sk#2, ss_ext_sales_price#5]
Input [5]: [ss_item_sk#1, ss_customer_sk#2, ss_ext_sales_price#5, ss_sold_date_sk#6, d_date_sk#14]

(26) FileSourceScanExecTransformer parquet spark_catalog.default.customer
Output [2]: [c_customer_sk#15, c_current_addr_sk#16]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer]
PushedFilters: [IsNotNull(c_customer_sk), IsNotNull(c_current_addr_sk)]
ReadSchema: struct<c_customer_sk:int,c_current_addr_sk:int>

(27) FilterExecTransformer
Input [2]: [c_customer_sk#15, c_current_addr_sk#16]
Arguments: (isnotnull(c_customer_sk#15) AND isnotnull(c_current_addr_sk#16))

(28) WholeStageCodegenTransformer (5)
Input [2]: [c_customer_sk#15, c_current_addr_sk#16]
Arguments: false

(29) ColumnarBroadcastExchange
Input [2]: [c_customer_sk#15, c_current_addr_sk#16]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3]

(30) InputAdapter
Input [2]: [c_customer_sk#15, c_current_addr_sk#16]

(31) InputIteratorTransformer
Input [2]: [c_customer_sk#15, c_current_addr_sk#16]

(32) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_customer_sk#2]
Right keys [1]: [c_customer_sk#15]
Join type: Inner
Join condition: None

(33) ProjectExecTransformer
Output [3]: [ss_item_sk#1, ss_ext_sales_price#5, c_current_addr_sk#16]
Input [5]: [ss_item_sk#1, ss_customer_sk#2, ss_ext_sales_price#5, c_customer_sk#15, c_current_addr_sk#16]

(34) FileSourceScanExecTransformer parquet spark_catalog.default.customer_address
Output [2]: [ca_address_sk#17, ca_gmt_offset#18]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer_address]
PushedFilters: [IsNotNull(ca_gmt_offset), EqualTo(ca_gmt_offset,-5.00), IsNotNull(ca_address_sk)]
ReadSchema: struct<ca_address_sk:int,ca_gmt_offset:decimal(5,2)>

(35) FilterExecTransformer
Input [2]: [ca_address_sk#17, ca_gmt_offset#18]
Arguments: ((isnotnull(ca_gmt_offset#18) AND (ca_gmt_offset#18 = -5.00)) AND isnotnull(ca_address_sk#17))

(36) ProjectExecTransformer
Output [1]: [ca_address_sk#17]
Input [2]: [ca_address_sk#17, ca_gmt_offset#18]

(37) WholeStageCodegenTransformer (6)
Input [1]: [ca_address_sk#17]
Arguments: false

(38) ColumnarBroadcastExchange
Input [1]: [ca_address_sk#17]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4]

(39) InputAdapter
Input [1]: [ca_address_sk#17]

(40) InputIteratorTransformer
Input [1]: [ca_address_sk#17]

(41) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_addr_sk#16]
Right keys [1]: [ca_address_sk#17]
Join type: Inner
Join condition: None

(42) ProjectExecTransformer
Output [2]: [ss_item_sk#1, ss_ext_sales_price#5]
Input [4]: [ss_item_sk#1, ss_ext_sales_price#5, c_current_addr_sk#16, ca_address_sk#17]

(43) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [2]: [i_item_sk#19, i_category#20]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_category), EqualTo(i_category,Jewelry                                           ), IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_category:string>

(44) FilterExecTransformer
Input [2]: [i_item_sk#19, i_category#20]
Arguments: ((isnotnull(i_category#20) AND (i_category#20 = Jewelry                                           )) AND isnotnull(i_item_sk#19))

(45) ProjectExecTransformer
Output [1]: [i_item_sk#19]
Input [2]: [i_item_sk#19, i_category#20]

(46) WholeStageCodegenTransformer (7)
Input [1]: [i_item_sk#19]
Arguments: false

(47) ColumnarBroadcastExchange
Input [1]: [i_item_sk#19]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5]

(48) InputAdapter
Input [1]: [i_item_sk#19]

(49) InputIteratorTransformer
Input [1]: [i_item_sk#19]

(50) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_item_sk#1]
Right keys [1]: [i_item_sk#19]
Join type: Inner
Join condition: None

(51) ProjectExecTransformer
Output [1]: [UnscaledValue(ss_ext_sales_price#5) AS _pre_1#21]
Input [3]: [ss_item_sk#1, ss_ext_sales_price#5, i_item_sk#19]

(52) FlushableHashAggregateExecTransformer
Input [1]: [_pre_1#21]
Keys: []
Functions [1]: [partial_sum(_pre_1#21)]
Aggregate Attributes [1]: [sum#22]
Results [1]: [sum#23]

(53) WholeStageCodegenTransformer (8)
Input [1]: [sum#23]
Arguments: false

(54) VeloxResizeBatches
Input [1]: [sum#23]
Arguments: 1024, 2147483647, 10485760

(55) ColumnarExchange
Input [1]: [sum#23]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=6], [shuffle_writer_type=hash]

(56) InputAdapter
Input [1]: [sum#23]

(57) InputIteratorTransformer
Input [1]: [sum#23]

(58) RegularHashAggregateExecTransformer
Input [1]: [sum#23]
Keys: []
Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#5))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#5))#24]
Results [1]: [sum(UnscaledValue(ss_ext_sales_price#5))#24]

(59) ProjectExecTransformer
Output [1]: [MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#5))#24,17,2) AS promotions#25]
Input [1]: [sum(UnscaledValue(ss_ext_sales_price#5))#24]

(60) FileSourceScanExecTransformer parquet spark_catalog.default.store_sales
Output [5]: [ss_item_sk#26, ss_customer_sk#27, ss_store_sk#28, ss_ext_sales_price#29, ss_sold_date_sk#30]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#30), dynamicpruningexpression(ss_sold_date_sk#30 IN dynamicpruning#7)]
PushedFilters: [IsNotNull(ss_store_sk), IsNotNull(ss_customer_sk), IsNotNull(ss_item_sk)]
ReadSchema: struct<ss_item_sk:int,ss_customer_sk:int,ss_store_sk:int,ss_ext_sales_price:decimal(7,2)>

(61) FilterExecTransformer
Input [5]: [ss_item_sk#26, ss_customer_sk#27, ss_store_sk#28, ss_ext_sales_price#29, ss_sold_date_sk#30]
Arguments: ((isnotnull(ss_store_sk#28) AND isnotnull(ss_customer_sk#27)) AND isnotnull(ss_item_sk#26))

(62) ReusedExchange [Reuses operator id: 7]
Output [1]: [s_store_sk#31]

(63) InputAdapter
Input [1]: [s_store_sk#31]

(64) InputIteratorTransformer
Input [1]: [s_store_sk#31]

(65) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_store_sk#28]
Right keys [1]: [s_store_sk#31]
Join type: Inner
Join condition: None

(66) ProjectExecTransformer
Output [4]: [ss_item_sk#26, ss_customer_sk#27, ss_ext_sales_price#29, ss_sold_date_sk#30]
Input [6]: [ss_item_sk#26, ss_customer_sk#27, ss_store_sk#28, ss_ext_sales_price#29, ss_sold_date_sk#30, s_store_sk#31]

(67) ReusedExchange [Reuses operator id: 107]
Output [1]: [d_date_sk#32]

(68) InputAdapter
Input [1]: [d_date_sk#32]

(69) InputIteratorTransformer
Input [1]: [d_date_sk#32]

(70) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_sold_date_sk#30]
Right keys [1]: [d_date_sk#32]
Join type: Inner
Join condition: None

(71) ProjectExecTransformer
Output [3]: [ss_item_sk#26, ss_customer_sk#27, ss_ext_sales_price#29]
Input [5]: [ss_item_sk#26, ss_customer_sk#27, ss_ext_sales_price#29, ss_sold_date_sk#30, d_date_sk#32]

(72) ReusedExchange [Reuses operator id: 29]
Output [2]: [c_customer_sk#33, c_current_addr_sk#34]

(73) InputAdapter
Input [2]: [c_customer_sk#33, c_current_addr_sk#34]

(74) InputIteratorTransformer
Input [2]: [c_customer_sk#33, c_current_addr_sk#34]

(75) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_customer_sk#27]
Right keys [1]: [c_customer_sk#33]
Join type: Inner
Join condition: None

(76) ProjectExecTransformer
Output [3]: [ss_item_sk#26, ss_ext_sales_price#29, c_current_addr_sk#34]
Input [5]: [ss_item_sk#26, ss_customer_sk#27, ss_ext_sales_price#29, c_customer_sk#33, c_current_addr_sk#34]

(77) ReusedExchange [Reuses operator id: 38]
Output [1]: [ca_address_sk#35]

(78) InputAdapter
Input [1]: [ca_address_sk#35]

(79) InputIteratorTransformer
Input [1]: [ca_address_sk#35]

(80) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_addr_sk#34]
Right keys [1]: [ca_address_sk#35]
Join type: Inner
Join condition: None

(81) ProjectExecTransformer
Output [2]: [ss_item_sk#26, ss_ext_sales_price#29]
Input [4]: [ss_item_sk#26, ss_ext_sales_price#29, c_current_addr_sk#34, ca_address_sk#35]

(82) ReusedExchange [Reuses operator id: 47]
Output [1]: [i_item_sk#36]

(83) InputAdapter
Input [1]: [i_item_sk#36]

(84) InputIteratorTransformer
Input [1]: [i_item_sk#36]

(85) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_item_sk#26]
Right keys [1]: [i_item_sk#36]
Join type: Inner
Join condition: None

(86) ProjectExecTransformer
Output [1]: [UnscaledValue(ss_ext_sales_price#29) AS _pre_2#37]
Input [3]: [ss_item_sk#26, ss_ext_sales_price#29, i_item_sk#36]

(87) FlushableHashAggregateExecTransformer
Input [1]: [_pre_2#37]
Keys: []
Functions [1]: [partial_sum(_pre_2#37)]
Aggregate Attributes [1]: [sum#38]
Results [1]: [sum#39]

(88) WholeStageCodegenTransformer (15)
Input [1]: [sum#39]
Arguments: false

(89) VeloxResizeBatches
Input [1]: [sum#39]
Arguments: 1024, 2147483647, 10485760

(90) ColumnarExchange
Input [1]: [sum#39]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=7], [shuffle_writer_type=hash]

(91) InputAdapter
Input [1]: [sum#39]

(92) InputIteratorTransformer
Input [1]: [sum#39]

(93) RegularHashAggregateExecTransformer
Input [1]: [sum#39]
Keys: []
Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#29))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#29))#40]
Results [1]: [sum(UnscaledValue(ss_ext_sales_price#29))#40]

(94) ProjectExecTransformer
Output [1]: [MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#29))#40,17,2) AS total#41]
Input [1]: [sum(UnscaledValue(ss_ext_sales_price#29))#40]

(95) WholeStageCodegenTransformer (16)
Input [1]: [total#41]
Arguments: false

(96) ColumnarBroadcastExchange
Input [1]: [total#41]
Arguments: IdentityBroadcastMode, [plan_id=8]

(97) InputAdapter
Input [1]: [total#41]

(98) InputIteratorTransformer
Input [1]: [total#41]

(99) VeloxBroadcastNestedLoopJoinExecTransformer
Join type: Inner
Join condition: None

(100) ProjectExecTransformer
Output [3]: [promotions#25, total#41, ((cast(promotions#25 as decimal(15,4)) / cast(total#41 as decimal(15,4))) * 100) AS ((CAST(promotions AS DECIMAL(15,4)) / CAST(total AS DECIMAL(15,4))) * 100)#42]
Input [2]: [promotions#25, total#41]

(101) WholeStageCodegenTransformer (17)
Input [3]: [promotions#25, total#41, ((CAST(promotions AS DECIMAL(15,4)) / CAST(total AS DECIMAL(15,4))) * 100)#42]
Arguments: false

(102) VeloxColumnarToRow
Input [3]: [promotions#25, total#41, ((CAST(promotions AS DECIMAL(15,4)) / CAST(total AS DECIMAL(15,4))) * 100)#42]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#6 IN dynamicpruning#7
ColumnarBroadcastExchange (107)
+- ^ ProjectExecTransformer (105)
   +- ^ FilterExecTransformer (104)
      +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (103)


(103) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#14, d_year#43, d_moy#44]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,11), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(104) FilterExecTransformer
Input [3]: [d_date_sk#14, d_year#43, d_moy#44]
Arguments: ((((isnotnull(d_year#43) AND isnotnull(d_moy#44)) AND (d_year#43 = 1998)) AND (d_moy#44 = 11)) AND isnotnull(d_date_sk#14))

(105) ProjectExecTransformer
Output [1]: [d_date_sk#14]
Input [3]: [d_date_sk#14, d_year#43, d_moy#44]

(106) WholeStageCodegenTransformer (1)
Input [1]: [d_date_sk#14]
Arguments: false

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

Subquery:2 Hosting operator id = 60 Hosting Expression = ss_sold_date_sk#30 IN dynamicpruning#7


