== Physical Plan ==
VeloxColumnarToRow (77)
+- TakeOrderedAndProjectExecTransformer (76)
   +- ^ ProjectExecTransformer (74)
      +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (73)
         :- ^ ProjectExecTransformer (62)
         :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (61)
         :     :- ^ ProjectExecTransformer (43)
         :     :  +- ^ FilterExecTransformer (42)
         :     :     +- ^ WindowExecTransformer (41)
         :     :        +- ^ FilterExecTransformer (40)
         :     :           +- ^ WindowExecTransformer (39)
         :     :              +- ^ SortExecTransformer (38)
         :     :                 +- ^ InputIteratorTransformer (37)
         :     :                    +- ColumnarExchange (35)
         :     :                       +- VeloxResizeBatches (34)
         :     :                          +- ^ ProjectExecTransformer (32)
         :     :                             +- ^ RegularHashAggregateExecTransformer (31)
         :     :                                +- ^ InputIteratorTransformer (30)
         :     :                                   +- ColumnarExchange (28)
         :     :                                      +- VeloxResizeBatches (27)
         :     :                                         +- ^ ProjectExecTransformer (25)
         :     :                                            +- ^ FlushableHashAggregateExecTransformer (24)
         :     :                                               +- ^ ProjectExecTransformer (23)
         :     :                                                  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (22)
         :     :                                                     :- ^ ProjectExecTransformer (15)
         :     :                                                     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (14)
         :     :                                                     :     :- ^ ProjectExecTransformer (10)
         :     :                                                     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (9)
         :     :                                                     :     :     :- ^ FilterExecTransformer (2)
         :     :                                                     :     :     :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (1)
         :     :                                                     :     :     +- ^ InputIteratorTransformer (8)
         :     :                                                     :     :        +- ColumnarBroadcastExchange (6)
         :     :                                                     :     :           +- ^ FilterExecTransformer (4)
         :     :                                                     :     :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store_sales (3)
         :     :                                                     :     +- ^ InputIteratorTransformer (13)
         :     :                                                     :        +- ReusedExchange (11)
         :     :                                                     +- ^ InputIteratorTransformer (21)
         :     :                                                        +- ColumnarBroadcastExchange (19)
         :     :                                                           +- ^ FilterExecTransformer (17)
         :     :                                                              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store (16)
         :     +- ^ InputIteratorTransformer (60)
         :        +- ColumnarBroadcastExchange (58)
         :           +- ^ ProjectExecTransformer (56)
         :              +- ^ WindowExecTransformer (55)
         :                 +- ^ SortExecTransformer (54)
         :                    +- ^ InputIteratorTransformer (53)
         :                       +- ColumnarExchange (51)
         :                          +- VeloxResizeBatches (50)
         :                             +- ^ ProjectExecTransformer (48)
         :                                +- ^ RegularHashAggregateExecTransformer (47)
         :                                   +- ^ InputIteratorTransformer (46)
         :                                      +- ReusedExchange (44)
         +- ^ InputIteratorTransformer (72)
            +- ColumnarBroadcastExchange (70)
               +- ^ ProjectExecTransformer (68)
                  +- ^ WindowExecTransformer (67)
                     +- ^ SortExecTransformer (66)
                        +- ^ InputIteratorTransformer (65)
                           +- ReusedExchange (63)


(1) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [3]: [i_item_sk#1, i_brand#2, i_category#3]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk), IsNotNull(i_category), IsNotNull(i_brand)]
ReadSchema: struct<i_item_sk:int,i_brand:string,i_category:string>

(2) FilterExecTransformer
Input [3]: [i_item_sk#1, i_brand#2, i_category#3]
Arguments: ((isnotnull(i_item_sk#1) AND isnotnull(i_category#3)) AND isnotnull(i_brand#2))

(3) FileSourceScanExecTransformer parquet spark_catalog.default.store_sales
Output [4]: [ss_item_sk#4, ss_store_sk#5, ss_sales_price#6, ss_sold_date_sk#7]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#7), dynamicpruningexpression(ss_sold_date_sk#7 IN dynamicpruning#8)]
PushedFilters: [IsNotNull(ss_item_sk), IsNotNull(ss_store_sk)]
ReadSchema: struct<ss_item_sk:int,ss_store_sk:int,ss_sales_price:decimal(7,2)>

(4) FilterExecTransformer
Input [4]: [ss_item_sk#4, ss_store_sk#5, ss_sales_price#6, ss_sold_date_sk#7]
Arguments: (isnotnull(ss_item_sk#4) AND isnotnull(ss_store_sk#5))

(5) WholeStageCodegenTransformer (2)
Input [4]: [ss_item_sk#4, ss_store_sk#5, ss_sales_price#6, ss_sold_date_sk#7]
Arguments: false

(6) ColumnarBroadcastExchange
Input [4]: [ss_item_sk#4, ss_store_sk#5, ss_sales_price#6, ss_sold_date_sk#7]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=1]

(7) InputAdapter
Input [4]: [ss_item_sk#4, ss_store_sk#5, ss_sales_price#6, ss_sold_date_sk#7]

(8) InputIteratorTransformer
Input [4]: [ss_item_sk#4, ss_store_sk#5, ss_sales_price#6, ss_sold_date_sk#7]

(9) BroadcastHashJoinExecTransformer
Left keys [1]: [i_item_sk#1]
Right keys [1]: [ss_item_sk#4]
Join type: Inner
Join condition: None

(10) ProjectExecTransformer
Output [5]: [i_brand#2, i_category#3, ss_store_sk#5, ss_sales_price#6, ss_sold_date_sk#7]
Input [7]: [i_item_sk#1, i_brand#2, i_category#3, ss_item_sk#4, ss_store_sk#5, ss_sales_price#6, ss_sold_date_sk#7]

(11) ReusedExchange [Reuses operator id: 81]
Output [3]: [d_date_sk#9, d_year#10, d_moy#11]

(12) InputAdapter
Input [3]: [d_date_sk#9, d_year#10, d_moy#11]

(13) InputIteratorTransformer
Input [3]: [d_date_sk#9, d_year#10, d_moy#11]

(14) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_sold_date_sk#7]
Right keys [1]: [d_date_sk#9]
Join type: Inner
Join condition: None

(15) ProjectExecTransformer
Output [6]: [i_brand#2, i_category#3, ss_store_sk#5, ss_sales_price#6, d_year#10, d_moy#11]
Input [8]: [i_brand#2, i_category#3, ss_store_sk#5, ss_sales_price#6, ss_sold_date_sk#7, d_date_sk#9, d_year#10, d_moy#11]

(16) FileSourceScanExecTransformer parquet spark_catalog.default.store
Output [3]: [s_store_sk#12, s_store_name#13, s_company_name#14]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk), IsNotNull(s_store_name), IsNotNull(s_company_name)]
ReadSchema: struct<s_store_sk:int,s_store_name:string,s_company_name:string>

(17) FilterExecTransformer
Input [3]: [s_store_sk#12, s_store_name#13, s_company_name#14]
Arguments: ((isnotnull(s_store_sk#12) AND isnotnull(s_store_name#13)) AND isnotnull(s_company_name#14))

(18) WholeStageCodegenTransformer (4)
Input [3]: [s_store_sk#12, s_store_name#13, s_company_name#14]
Arguments: false

(19) ColumnarBroadcastExchange
Input [3]: [s_store_sk#12, s_store_name#13, s_company_name#14]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=2]

(20) InputAdapter
Input [3]: [s_store_sk#12, s_store_name#13, s_company_name#14]

(21) InputIteratorTransformer
Input [3]: [s_store_sk#12, s_store_name#13, s_company_name#14]

(22) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_store_sk#5]
Right keys [1]: [s_store_sk#12]
Join type: Inner
Join condition: None

(23) ProjectExecTransformer
Output [7]: [i_brand#2, i_category#3, d_year#10, d_moy#11, s_store_name#13, s_company_name#14, UnscaledValue(ss_sales_price#6) AS _pre_1#15]
Input [9]: [i_brand#2, i_category#3, ss_store_sk#5, ss_sales_price#6, d_year#10, d_moy#11, s_store_sk#12, s_store_name#13, s_company_name#14]

(24) FlushableHashAggregateExecTransformer
Input [7]: [i_brand#2, i_category#3, d_year#10, d_moy#11, s_store_name#13, s_company_name#14, _pre_1#15]
Keys [6]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11]
Functions [1]: [partial_sum(_pre_1#15)]
Aggregate Attributes [1]: [sum#16]
Results [7]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum#17]

(25) ProjectExecTransformer
Output [8]: [hash(i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, 42) AS hash_partition_key#18, i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum#17]
Input [7]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum#17]

(26) WholeStageCodegenTransformer (5)
Input [8]: [hash_partition_key#18, i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum#17]
Arguments: false

(27) VeloxResizeBatches
Input [8]: [hash_partition_key#18, i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum#17]
Arguments: 1024, 2147483647, 10485760

(28) ColumnarExchange
Input [8]: [hash_partition_key#18, i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum#17]
Arguments: hashpartitioning(i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, 1), ENSURE_REQUIREMENTS, [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum#17], [plan_id=3], [shuffle_writer_type=hash]

(29) InputAdapter
Input [7]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum#17]

(30) InputIteratorTransformer
Input [7]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum#17]

(31) RegularHashAggregateExecTransformer
Input [7]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum#17]
Keys [6]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11]
Functions [1]: [sum(UnscaledValue(ss_sales_price#6))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#6))#19]
Results [7]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum(UnscaledValue(ss_sales_price#6))#19]

(32) ProjectExecTransformer
Output [9]: [hash(i_category#3, i_brand#2, s_store_name#13, s_company_name#14, 42) AS hash_partition_key#20, i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, MakeDecimal(sum(UnscaledValue(ss_sales_price#6))#19,17,2) AS sum_sales#21, MakeDecimal(sum(UnscaledValue(ss_sales_price#6))#19,17,2) AS _w0#22]
Input [7]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum(UnscaledValue(ss_sales_price#6))#19]

(33) WholeStageCodegenTransformer (6)
Input [9]: [hash_partition_key#20, i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#21, _w0#22]
Arguments: false

(34) VeloxResizeBatches
Input [9]: [hash_partition_key#20, i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#21, _w0#22]
Arguments: 1024, 2147483647, 10485760

(35) ColumnarExchange
Input [9]: [hash_partition_key#20, i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#21, _w0#22]
Arguments: hashpartitioning(i_category#3, i_brand#2, s_store_name#13, s_company_name#14, 1), ENSURE_REQUIREMENTS, [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#21, _w0#22], [plan_id=4], [shuffle_writer_type=hash]

(36) InputAdapter
Input [8]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#21, _w0#22]

(37) InputIteratorTransformer
Input [8]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#21, _w0#22]

(38) SortExecTransformer
Input [8]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#21, _w0#22]
Arguments: [i_category#3 ASC NULLS FIRST, i_brand#2 ASC NULLS FIRST, s_store_name#13 ASC NULLS FIRST, s_company_name#14 ASC NULLS FIRST, d_year#10 ASC NULLS FIRST, d_moy#11 ASC NULLS FIRST], false, 0

(39) WindowExecTransformer
Input [8]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#21, _w0#22]
Arguments: [rank(d_year#10, d_moy#11) windowspecdefinition(i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10 ASC NULLS FIRST, d_moy#11 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#23], [i_category#3, i_brand#2, s_store_name#13, s_company_name#14], [d_year#10 ASC NULLS FIRST, d_moy#11 ASC NULLS FIRST]

(40) FilterExecTransformer
Input [9]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#21, _w0#22, rn#23]
Arguments: (isnotnull(d_year#10) AND (d_year#10 = 1999))

(41) WindowExecTransformer
Input [9]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#21, _w0#22, rn#23]
Arguments: [avg(_w0#22) windowspecdefinition(i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#24], [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10]

(42) FilterExecTransformer
Input [10]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#21, _w0#22, rn#23, avg_monthly_sales#24]
Arguments: ((isnotnull(avg_monthly_sales#24) AND (avg_monthly_sales#24 > 0.000000)) AND CASE WHEN (avg_monthly_sales#24 > 0.000000) THEN ((abs((sum_sales#21 - avg_monthly_sales#24)) / avg_monthly_sales#24) > 0.1000000000000000) END)

(43) ProjectExecTransformer
Output [9]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#21, avg_monthly_sales#24, rn#23]
Input [10]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#21, _w0#22, rn#23, avg_monthly_sales#24]

(44) ReusedExchange [Reuses operator id: 28]
Output [7]: [i_category#25, i_brand#26, s_store_name#27, s_company_name#28, d_year#29, d_moy#30, sum#31]

(45) InputAdapter
Input [7]: [i_category#25, i_brand#26, s_store_name#27, s_company_name#28, d_year#29, d_moy#30, sum#31]

(46) InputIteratorTransformer
Input [7]: [i_category#25, i_brand#26, s_store_name#27, s_company_name#28, d_year#29, d_moy#30, sum#31]

(47) RegularHashAggregateExecTransformer
Input [7]: [i_category#25, i_brand#26, s_store_name#27, s_company_name#28, d_year#29, d_moy#30, sum#31]
Keys [6]: [i_category#25, i_brand#26, s_store_name#27, s_company_name#28, d_year#29, d_moy#30]
Functions [1]: [sum(UnscaledValue(ss_sales_price#32))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#32))#19]
Results [7]: [i_category#25, i_brand#26, s_store_name#27, s_company_name#28, d_year#29, d_moy#30, sum(UnscaledValue(ss_sales_price#32))#19]

(48) ProjectExecTransformer
Output [8]: [hash(i_category#25, i_brand#26, s_store_name#27, s_company_name#28, 42) AS hash_partition_key#33, i_category#25, i_brand#26, s_store_name#27, s_company_name#28, d_year#29, d_moy#30, MakeDecimal(sum(UnscaledValue(ss_sales_price#32))#19,17,2) AS sum_sales#34]
Input [7]: [i_category#25, i_brand#26, s_store_name#27, s_company_name#28, d_year#29, d_moy#30, sum(UnscaledValue(ss_sales_price#32))#19]

(49) WholeStageCodegenTransformer (12)
Input [8]: [hash_partition_key#33, i_category#25, i_brand#26, s_store_name#27, s_company_name#28, d_year#29, d_moy#30, sum_sales#34]
Arguments: false

(50) VeloxResizeBatches
Input [8]: [hash_partition_key#33, i_category#25, i_brand#26, s_store_name#27, s_company_name#28, d_year#29, d_moy#30, sum_sales#34]
Arguments: 1024, 2147483647, 10485760

(51) ColumnarExchange
Input [8]: [hash_partition_key#33, i_category#25, i_brand#26, s_store_name#27, s_company_name#28, d_year#29, d_moy#30, sum_sales#34]
Arguments: hashpartitioning(i_category#25, i_brand#26, s_store_name#27, s_company_name#28, 1), ENSURE_REQUIREMENTS, [i_category#25, i_brand#26, s_store_name#27, s_company_name#28, d_year#29, d_moy#30, sum_sales#34], [plan_id=5], [shuffle_writer_type=hash]

(52) InputAdapter
Input [7]: [i_category#25, i_brand#26, s_store_name#27, s_company_name#28, d_year#29, d_moy#30, sum_sales#34]

(53) InputIteratorTransformer
Input [7]: [i_category#25, i_brand#26, s_store_name#27, s_company_name#28, d_year#29, d_moy#30, sum_sales#34]

(54) SortExecTransformer
Input [7]: [i_category#25, i_brand#26, s_store_name#27, s_company_name#28, d_year#29, d_moy#30, sum_sales#34]
Arguments: [i_category#25 ASC NULLS FIRST, i_brand#26 ASC NULLS FIRST, s_store_name#27 ASC NULLS FIRST, s_company_name#28 ASC NULLS FIRST, d_year#29 ASC NULLS FIRST, d_moy#30 ASC NULLS FIRST], false, 0

(55) WindowExecTransformer
Input [7]: [i_category#25, i_brand#26, s_store_name#27, s_company_name#28, d_year#29, d_moy#30, sum_sales#34]
Arguments: [rank(d_year#29, d_moy#30) windowspecdefinition(i_category#25, i_brand#26, s_store_name#27, s_company_name#28, d_year#29 ASC NULLS FIRST, d_moy#30 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#35], [i_category#25, i_brand#26, s_store_name#27, s_company_name#28], [d_year#29 ASC NULLS FIRST, d_moy#30 ASC NULLS FIRST]

(56) ProjectExecTransformer
Output [6]: [i_category#25, i_brand#26, s_store_name#27, s_company_name#28, sum_sales#34, rn#35]
Input [8]: [i_category#25, i_brand#26, s_store_name#27, s_company_name#28, d_year#29, d_moy#30, sum_sales#34, rn#35]

(57) WholeStageCodegenTransformer (13)
Input [6]: [i_category#25, i_brand#26, s_store_name#27, s_company_name#28, sum_sales#34, rn#35]
Arguments: false

(58) ColumnarBroadcastExchange
Input [6]: [i_category#25, i_brand#26, s_store_name#27, s_company_name#28, sum_sales#34, rn#35]
Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], input[3, string, true], (input[5, int, false] + 1)),false), [plan_id=6]

(59) InputAdapter
Input [6]: [i_category#25, i_brand#26, s_store_name#27, s_company_name#28, sum_sales#34, rn#35]

(60) InputIteratorTransformer
Input [6]: [i_category#25, i_brand#26, s_store_name#27, s_company_name#28, sum_sales#34, rn#35]

(61) BroadcastHashJoinExecTransformer
Left keys [5]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, rn#23]
Right keys [5]: [i_category#25, i_brand#26, s_store_name#27, s_company_name#28, (rn#35 + 1)]
Join type: Inner
Join condition: None

(62) ProjectExecTransformer
Output [10]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#21, avg_monthly_sales#24, rn#23, sum_sales#34]
Input [15]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#21, avg_monthly_sales#24, rn#23, i_category#25, i_brand#26, s_store_name#27, s_company_name#28, sum_sales#34, rn#35]

(63) ReusedExchange [Reuses operator id: 51]
Output [7]: [i_category#36, i_brand#37, s_store_name#38, s_company_name#39, d_year#40, d_moy#41, sum_sales#42]

(64) InputAdapter
Input [7]: [i_category#36, i_brand#37, s_store_name#38, s_company_name#39, d_year#40, d_moy#41, sum_sales#42]

(65) InputIteratorTransformer
Input [7]: [i_category#36, i_brand#37, s_store_name#38, s_company_name#39, d_year#40, d_moy#41, sum_sales#42]

(66) SortExecTransformer
Input [7]: [i_category#36, i_brand#37, s_store_name#38, s_company_name#39, d_year#40, d_moy#41, sum_sales#42]
Arguments: [i_category#36 ASC NULLS FIRST, i_brand#37 ASC NULLS FIRST, s_store_name#38 ASC NULLS FIRST, s_company_name#39 ASC NULLS FIRST, d_year#40 ASC NULLS FIRST, d_moy#41 ASC NULLS FIRST], false, 0

(67) WindowExecTransformer
Input [7]: [i_category#36, i_brand#37, s_store_name#38, s_company_name#39, d_year#40, d_moy#41, sum_sales#42]
Arguments: [rank(d_year#40, d_moy#41) windowspecdefinition(i_category#36, i_brand#37, s_store_name#38, s_company_name#39, d_year#40 ASC NULLS FIRST, d_moy#41 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#43], [i_category#36, i_brand#37, s_store_name#38, s_company_name#39], [d_year#40 ASC NULLS FIRST, d_moy#41 ASC NULLS FIRST]

(68) ProjectExecTransformer
Output [6]: [i_category#36, i_brand#37, s_store_name#38, s_company_name#39, sum_sales#42, rn#43]
Input [8]: [i_category#36, i_brand#37, s_store_name#38, s_company_name#39, d_year#40, d_moy#41, sum_sales#42, rn#43]

(69) WholeStageCodegenTransformer (20)
Input [6]: [i_category#36, i_brand#37, s_store_name#38, s_company_name#39, sum_sales#42, rn#43]
Arguments: false

(70) ColumnarBroadcastExchange
Input [6]: [i_category#36, i_brand#37, s_store_name#38, s_company_name#39, sum_sales#42, rn#43]
Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], input[3, string, true], (input[5, int, false] - 1)),false), [plan_id=7]

(71) InputAdapter
Input [6]: [i_category#36, i_brand#37, s_store_name#38, s_company_name#39, sum_sales#42, rn#43]

(72) InputIteratorTransformer
Input [6]: [i_category#36, i_brand#37, s_store_name#38, s_company_name#39, sum_sales#42, rn#43]

(73) BroadcastHashJoinExecTransformer
Left keys [5]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, rn#23]
Right keys [5]: [i_category#36, i_brand#37, s_store_name#38, s_company_name#39, (rn#43 - 1)]
Join type: Inner
Join condition: None

(74) ProjectExecTransformer
Output [11]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, avg_monthly_sales#24, sum_sales#21, sum_sales#34 AS psum#44, sum_sales#42 AS nsum#45, (sum_sales#21 - avg_monthly_sales#24) AS _pre_2#46]
Input [16]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#21, avg_monthly_sales#24, rn#23, sum_sales#34, i_category#36, i_brand#37, s_store_name#38, s_company_name#39, sum_sales#42, rn#43]

(75) WholeStageCodegenTransformer (21)
Input [11]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, avg_monthly_sales#24, sum_sales#21, psum#44, nsum#45, _pre_2#46]
Arguments: false

(76) TakeOrderedAndProjectExecTransformer
Input [11]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, avg_monthly_sales#24, sum_sales#21, psum#44, nsum#45, _pre_2#46]
Arguments: 100, [_pre_2#46 ASC NULLS FIRST, s_store_name#13 ASC NULLS FIRST], [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, avg_monthly_sales#24, sum_sales#21, psum#44, nsum#45], 0

(77) VeloxColumnarToRow
Input [10]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, avg_monthly_sales#24, sum_sales#21, psum#44, nsum#45]

===== Subqueries =====

Subquery:1 Hosting operator id = 3 Hosting Expression = ss_sold_date_sk#7 IN dynamicpruning#8
ColumnarBroadcastExchange (81)
+- ^ FilterExecTransformer (79)
   +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (78)


(78) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#9, d_year#10, d_moy#11]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/date_dim]
PushedFilters: [Or(Or(EqualTo(d_year,1999),And(EqualTo(d_year,1998),EqualTo(d_moy,12))),And(EqualTo(d_year,2000),EqualTo(d_moy,1))), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(79) FilterExecTransformer
Input [3]: [d_date_sk#9, d_year#10, d_moy#11]
Arguments: ((((d_year#10 = 1999) OR ((d_year#10 = 1998) AND (d_moy#11 = 12))) OR ((d_year#10 = 2000) AND (d_moy#11 = 1))) AND isnotnull(d_date_sk#9))

(80) WholeStageCodegenTransformer (1)
Input [3]: [d_date_sk#9, d_year#10, d_moy#11]
Arguments: false

(81) ColumnarBroadcastExchange
Input [3]: [d_date_sk#9, d_year#10, d_moy#11]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8]


