== Physical Plan ==
VeloxColumnarToRow (91)
+- TakeOrderedAndProjectExecTransformer (90)
   +- ^ ProjectExecTransformer (88)
      +- ^ ShuffledHashJoinExecTransformer Inner BuildRight (87)
         :- ^ ProjectExecTransformer (75)
         :  +- ^ ShuffledHashJoinExecTransformer Inner BuildRight (74)
         :     :- ^ InputIteratorTransformer (55)
         :     :  +- ColumnarExchange (53)
         :     :     +- VeloxResizeBatches (52)
         :     :        +- ^ ProjectExecTransformer (50)
         :     :           +- ^ FilterExecTransformer (49)
         :     :              +- ^ WindowExecTransformer (48)
         :     :                 +- ^ FilterExecTransformer (47)
         :     :                    +- ^ WindowExecTransformer (46)
         :     :                       +- ^ SortExecTransformer (45)
         :     :                          +- ^ InputIteratorTransformer (44)
         :     :                             +- ColumnarExchange (42)
         :     :                                +- VeloxResizeBatches (41)
         :     :                                   +- ^ ProjectExecTransformer (39)
         :     :                                      +- ^ RegularHashAggregateExecTransformer (38)
         :     :                                         +- ^ InputIteratorTransformer (37)
         :     :                                            +- ColumnarExchange (35)
         :     :                                               +- VeloxResizeBatches (34)
         :     :                                                  +- ^ ProjectExecTransformer (32)
         :     :                                                     +- ^ FlushableHashAggregateExecTransformer (31)
         :     :                                                        +- ^ ProjectExecTransformer (30)
         :     :                                                           +- ^ ShuffledHashJoinExecTransformer Inner BuildRight (29)
         :     :                                                              :- ^ InputIteratorTransformer (20)
         :     :                                                              :  +- ColumnarExchange (18)
         :     :                                                              :     +- VeloxResizeBatches (17)
         :     :                                                              :        +- ^ ProjectExecTransformer (15)
         :     :                                                              :           +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (14)
         :     :                                                              :              :- ^ ProjectExecTransformer (7)
         :     :                                                              :              :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (6)
         :     :                                                              :              :     :- ^ FilterExecTransformer (2)
         :     :                                                              :              :     :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store_sales (1)
         :     :                                                              :              :     +- ^ InputIteratorTransformer (5)
         :     :                                                              :              :        +- ReusedExchange (3)
         :     :                                                              :              +- ^ InputIteratorTransformer (13)
         :     :                                                              :                 +- ColumnarBroadcastExchange (11)
         :     :                                                              :                    +- ^ FilterExecTransformer (9)
         :     :                                                              :                       +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store (8)
         :     :                                                              +- ^ InputIteratorTransformer (28)
         :     :                                                                 +- ColumnarExchange (26)
         :     :                                                                    +- VeloxResizeBatches (25)
         :     :                                                                       +- ^ ProjectExecTransformer (23)
         :     :                                                                          +- ^ FilterExecTransformer (22)
         :     :                                                                             +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (21)
         :     +- ^ InputIteratorTransformer (73)
         :        +- ColumnarExchange (71)
         :           +- VeloxResizeBatches (70)
         :              +- ^ ProjectExecTransformer (68)
         :                 +- ^ WindowExecTransformer (67)
         :                    +- ^ SortExecTransformer (66)
         :                       +- ^ InputIteratorTransformer (65)
         :                          +- ColumnarExchange (63)
         :                             +- VeloxResizeBatches (62)
         :                                +- ^ ProjectExecTransformer (60)
         :                                   +- ^ RegularHashAggregateExecTransformer (59)
         :                                      +- ^ InputIteratorTransformer (58)
         :                                         +- ReusedExchange (56)
         +- ^ InputIteratorTransformer (86)
            +- ColumnarExchange (84)
               +- VeloxResizeBatches (83)
                  +- ^ ProjectExecTransformer (81)
                     +- ^ WindowExecTransformer (80)
                        +- ^ SortExecTransformer (79)
                           +- ^ InputIteratorTransformer (78)
                              +- ReusedExchange (76)


(1) FileSourceScanExecTransformer parquet spark_catalog.default.store_sales
Output [4]: [ss_item_sk#1, ss_store_sk#2, ss_sales_price#3, ss_sold_date_sk#4]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#4), dynamicpruningexpression(ss_sold_date_sk#4 IN dynamicpruning#5)]
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)>

(2) FilterExecTransformer
Input [4]: [ss_item_sk#1, ss_store_sk#2, ss_sales_price#3, ss_sold_date_sk#4]
Arguments: (isnotnull(ss_item_sk#1) AND isnotnull(ss_store_sk#2))

(3) ReusedExchange [Reuses operator id: 95]
Output [3]: [d_date_sk#6, d_year#7, d_moy#8]

(4) InputAdapter
Input [3]: [d_date_sk#6, d_year#7, d_moy#8]

(5) InputIteratorTransformer
Input [3]: [d_date_sk#6, d_year#7, d_moy#8]

(6) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_sold_date_sk#4]
Right keys [1]: [d_date_sk#6]
Join type: Inner
Join condition: None

(7) ProjectExecTransformer
Output [5]: [ss_item_sk#1, ss_store_sk#2, ss_sales_price#3, d_year#7, d_moy#8]
Input [7]: [ss_item_sk#1, ss_store_sk#2, ss_sales_price#3, ss_sold_date_sk#4, d_date_sk#6, d_year#7, d_moy#8]

(8) FileSourceScanExecTransformer parquet spark_catalog.default.store
Output [3]: [s_store_sk#9, s_store_name#10, s_company_name#11]
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>

(9) FilterExecTransformer
Input [3]: [s_store_sk#9, s_store_name#10, s_company_name#11]
Arguments: ((isnotnull(s_store_sk#9) AND isnotnull(s_store_name#10)) AND isnotnull(s_company_name#11))

(10) WholeStageCodegenTransformer (3)
Input [3]: [s_store_sk#9, s_store_name#10, s_company_name#11]
Arguments: false

(11) ColumnarBroadcastExchange
Input [3]: [s_store_sk#9, s_store_name#10, s_company_name#11]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=1]

(12) InputAdapter
Input [3]: [s_store_sk#9, s_store_name#10, s_company_name#11]

(13) InputIteratorTransformer
Input [3]: [s_store_sk#9, s_store_name#10, s_company_name#11]

(14) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_store_sk#2]
Right keys [1]: [s_store_sk#9]
Join type: Inner
Join condition: None

(15) ProjectExecTransformer
Output [7]: [hash(ss_item_sk#1, 42) AS hash_partition_key#12, ss_item_sk#1, ss_sales_price#3, d_year#7, d_moy#8, s_store_name#10, s_company_name#11]
Input [8]: [ss_item_sk#1, ss_store_sk#2, ss_sales_price#3, d_year#7, d_moy#8, s_store_sk#9, s_store_name#10, s_company_name#11]

(16) WholeStageCodegenTransformer (4)
Input [7]: [hash_partition_key#12, ss_item_sk#1, ss_sales_price#3, d_year#7, d_moy#8, s_store_name#10, s_company_name#11]
Arguments: false

(17) VeloxResizeBatches
Input [7]: [hash_partition_key#12, ss_item_sk#1, ss_sales_price#3, d_year#7, d_moy#8, s_store_name#10, s_company_name#11]
Arguments: 1024, 2147483647, 10485760

(18) ColumnarExchange
Input [7]: [hash_partition_key#12, ss_item_sk#1, ss_sales_price#3, d_year#7, d_moy#8, s_store_name#10, s_company_name#11]
Arguments: hashpartitioning(ss_item_sk#1, 1), ENSURE_REQUIREMENTS, [ss_item_sk#1, ss_sales_price#3, d_year#7, d_moy#8, s_store_name#10, s_company_name#11], [plan_id=2], [shuffle_writer_type=hash]

(19) InputAdapter
Input [6]: [ss_item_sk#1, ss_sales_price#3, d_year#7, d_moy#8, s_store_name#10, s_company_name#11]

(20) InputIteratorTransformer
Input [6]: [ss_item_sk#1, ss_sales_price#3, d_year#7, d_moy#8, s_store_name#10, s_company_name#11]

(21) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [3]: [i_item_sk#13, i_brand#14, i_category#15]
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>

(22) FilterExecTransformer
Input [3]: [i_item_sk#13, i_brand#14, i_category#15]
Arguments: ((isnotnull(i_item_sk#13) AND isnotnull(i_category#15)) AND isnotnull(i_brand#14))

(23) ProjectExecTransformer
Output [4]: [hash(i_item_sk#13, 42) AS hash_partition_key#16, i_item_sk#13, i_brand#14, i_category#15]
Input [3]: [i_item_sk#13, i_brand#14, i_category#15]

(24) WholeStageCodegenTransformer (5)
Input [4]: [hash_partition_key#16, i_item_sk#13, i_brand#14, i_category#15]
Arguments: false

(25) VeloxResizeBatches
Input [4]: [hash_partition_key#16, i_item_sk#13, i_brand#14, i_category#15]
Arguments: 1024, 2147483647, 10485760

(26) ColumnarExchange
Input [4]: [hash_partition_key#16, i_item_sk#13, i_brand#14, i_category#15]
Arguments: hashpartitioning(i_item_sk#13, 1), ENSURE_REQUIREMENTS, [i_item_sk#13, i_brand#14, i_category#15], [plan_id=3], [shuffle_writer_type=hash]

(27) InputAdapter
Input [3]: [i_item_sk#13, i_brand#14, i_category#15]

(28) InputIteratorTransformer
Input [3]: [i_item_sk#13, i_brand#14, i_category#15]

(29) ShuffledHashJoinExecTransformer
Left keys [1]: [ss_item_sk#1]
Right keys [1]: [i_item_sk#13]
Join type: Inner
Join condition: None

(30) ProjectExecTransformer
Output [7]: [i_brand#14, i_category#15, d_year#7, d_moy#8, s_store_name#10, s_company_name#11, UnscaledValue(ss_sales_price#3) AS _pre_1#17]
Input [9]: [ss_item_sk#1, ss_sales_price#3, d_year#7, d_moy#8, s_store_name#10, s_company_name#11, i_item_sk#13, i_brand#14, i_category#15]

(31) FlushableHashAggregateExecTransformer
Input [7]: [i_brand#14, i_category#15, d_year#7, d_moy#8, s_store_name#10, s_company_name#11, _pre_1#17]
Keys [6]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8]
Functions [1]: [partial_sum(_pre_1#17)]
Aggregate Attributes [1]: [sum#18]
Results [7]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum#19]

(32) ProjectExecTransformer
Output [8]: [hash(i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, 42) AS hash_partition_key#20, i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum#19]
Input [7]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum#19]

(33) WholeStageCodegenTransformer (6)
Input [8]: [hash_partition_key#20, i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum#19]
Arguments: false

(34) VeloxResizeBatches
Input [8]: [hash_partition_key#20, i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum#19]
Arguments: 1024, 2147483647, 10485760

(35) ColumnarExchange
Input [8]: [hash_partition_key#20, i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum#19]
Arguments: hashpartitioning(i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, 1), ENSURE_REQUIREMENTS, [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum#19], [plan_id=4], [shuffle_writer_type=hash]

(36) InputAdapter
Input [7]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum#19]

(37) InputIteratorTransformer
Input [7]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum#19]

(38) RegularHashAggregateExecTransformer
Input [7]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum#19]
Keys [6]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8]
Functions [1]: [sum(UnscaledValue(ss_sales_price#3))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#3))#21]
Results [7]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum(UnscaledValue(ss_sales_price#3))#21]

(39) ProjectExecTransformer
Output [9]: [hash(i_category#15, i_brand#14, s_store_name#10, s_company_name#11, 42) AS hash_partition_key#22, i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, MakeDecimal(sum(UnscaledValue(ss_sales_price#3))#21,17,2) AS sum_sales#23, MakeDecimal(sum(UnscaledValue(ss_sales_price#3))#21,17,2) AS _w0#24]
Input [7]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum(UnscaledValue(ss_sales_price#3))#21]

(40) WholeStageCodegenTransformer (7)
Input [9]: [hash_partition_key#22, i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum_sales#23, _w0#24]
Arguments: false

(41) VeloxResizeBatches
Input [9]: [hash_partition_key#22, i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum_sales#23, _w0#24]
Arguments: 1024, 2147483647, 10485760

(42) ColumnarExchange
Input [9]: [hash_partition_key#22, i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum_sales#23, _w0#24]
Arguments: hashpartitioning(i_category#15, i_brand#14, s_store_name#10, s_company_name#11, 1), ENSURE_REQUIREMENTS, [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum_sales#23, _w0#24], [plan_id=5], [shuffle_writer_type=hash]

(43) InputAdapter
Input [8]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum_sales#23, _w0#24]

(44) InputIteratorTransformer
Input [8]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum_sales#23, _w0#24]

(45) SortExecTransformer
Input [8]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum_sales#23, _w0#24]
Arguments: [i_category#15 ASC NULLS FIRST, i_brand#14 ASC NULLS FIRST, s_store_name#10 ASC NULLS FIRST, s_company_name#11 ASC NULLS FIRST, d_year#7 ASC NULLS FIRST, d_moy#8 ASC NULLS FIRST], false, 0

(46) WindowExecTransformer
Input [8]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum_sales#23, _w0#24]
Arguments: [rank(d_year#7, d_moy#8) windowspecdefinition(i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7 ASC NULLS FIRST, d_moy#8 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#25], [i_category#15, i_brand#14, s_store_name#10, s_company_name#11], [d_year#7 ASC NULLS FIRST, d_moy#8 ASC NULLS FIRST]

(47) FilterExecTransformer
Input [9]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum_sales#23, _w0#24, rn#25]
Arguments: (isnotnull(d_year#7) AND (d_year#7 = 1999))

(48) WindowExecTransformer
Input [9]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum_sales#23, _w0#24, rn#25]
Arguments: [avg(_w0#24) windowspecdefinition(i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#26], [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7]

(49) FilterExecTransformer
Input [10]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum_sales#23, _w0#24, rn#25, avg_monthly_sales#26]
Arguments: ((isnotnull(avg_monthly_sales#26) AND (avg_monthly_sales#26 > 0.000000)) AND CASE WHEN (avg_monthly_sales#26 > 0.000000) THEN ((abs((sum_sales#23 - avg_monthly_sales#26)) / avg_monthly_sales#26) > 0.1000000000000000) END)

(50) ProjectExecTransformer
Output [10]: [hash(i_category#15, i_brand#14, s_store_name#10, s_company_name#11, rn#25, 42) AS hash_partition_key#27, i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum_sales#23, avg_monthly_sales#26, rn#25]
Input [10]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum_sales#23, _w0#24, rn#25, avg_monthly_sales#26]

(51) WholeStageCodegenTransformer (8)
Input [10]: [hash_partition_key#27, i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum_sales#23, avg_monthly_sales#26, rn#25]
Arguments: false

(52) VeloxResizeBatches
Input [10]: [hash_partition_key#27, i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum_sales#23, avg_monthly_sales#26, rn#25]
Arguments: 1024, 2147483647, 10485760

(53) ColumnarExchange
Input [10]: [hash_partition_key#27, i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum_sales#23, avg_monthly_sales#26, rn#25]
Arguments: hashpartitioning(i_category#15, i_brand#14, s_store_name#10, s_company_name#11, rn#25, 1), ENSURE_REQUIREMENTS, [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum_sales#23, avg_monthly_sales#26, rn#25], [plan_id=6], [shuffle_writer_type=hash]

(54) InputAdapter
Input [9]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum_sales#23, avg_monthly_sales#26, rn#25]

(55) InputIteratorTransformer
Input [9]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum_sales#23, avg_monthly_sales#26, rn#25]

(56) ReusedExchange [Reuses operator id: 35]
Output [7]: [i_category#28, i_brand#29, s_store_name#30, s_company_name#31, d_year#32, d_moy#33, sum#34]

(57) InputAdapter
Input [7]: [i_category#28, i_brand#29, s_store_name#30, s_company_name#31, d_year#32, d_moy#33, sum#34]

(58) InputIteratorTransformer
Input [7]: [i_category#28, i_brand#29, s_store_name#30, s_company_name#31, d_year#32, d_moy#33, sum#34]

(59) RegularHashAggregateExecTransformer
Input [7]: [i_category#28, i_brand#29, s_store_name#30, s_company_name#31, d_year#32, d_moy#33, sum#34]
Keys [6]: [i_category#28, i_brand#29, s_store_name#30, s_company_name#31, d_year#32, d_moy#33]
Functions [1]: [sum(UnscaledValue(ss_sales_price#35))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#35))#21]
Results [7]: [i_category#28, i_brand#29, s_store_name#30, s_company_name#31, d_year#32, d_moy#33, sum(UnscaledValue(ss_sales_price#35))#21]

(60) ProjectExecTransformer
Output [8]: [hash(i_category#28, i_brand#29, s_store_name#30, s_company_name#31, 42) AS hash_partition_key#36, i_category#28, i_brand#29, s_store_name#30, s_company_name#31, d_year#32, d_moy#33, MakeDecimal(sum(UnscaledValue(ss_sales_price#35))#21,17,2) AS sum_sales#37]
Input [7]: [i_category#28, i_brand#29, s_store_name#30, s_company_name#31, d_year#32, d_moy#33, sum(UnscaledValue(ss_sales_price#35))#21]

(61) WholeStageCodegenTransformer (15)
Input [8]: [hash_partition_key#36, i_category#28, i_brand#29, s_store_name#30, s_company_name#31, d_year#32, d_moy#33, sum_sales#37]
Arguments: false

(62) VeloxResizeBatches
Input [8]: [hash_partition_key#36, i_category#28, i_brand#29, s_store_name#30, s_company_name#31, d_year#32, d_moy#33, sum_sales#37]
Arguments: 1024, 2147483647, 10485760

(63) ColumnarExchange
Input [8]: [hash_partition_key#36, i_category#28, i_brand#29, s_store_name#30, s_company_name#31, d_year#32, d_moy#33, sum_sales#37]
Arguments: hashpartitioning(i_category#28, i_brand#29, s_store_name#30, s_company_name#31, 1), ENSURE_REQUIREMENTS, [i_category#28, i_brand#29, s_store_name#30, s_company_name#31, d_year#32, d_moy#33, sum_sales#37], [plan_id=7], [shuffle_writer_type=hash]

(64) InputAdapter
Input [7]: [i_category#28, i_brand#29, s_store_name#30, s_company_name#31, d_year#32, d_moy#33, sum_sales#37]

(65) InputIteratorTransformer
Input [7]: [i_category#28, i_brand#29, s_store_name#30, s_company_name#31, d_year#32, d_moy#33, sum_sales#37]

(66) SortExecTransformer
Input [7]: [i_category#28, i_brand#29, s_store_name#30, s_company_name#31, d_year#32, d_moy#33, sum_sales#37]
Arguments: [i_category#28 ASC NULLS FIRST, i_brand#29 ASC NULLS FIRST, s_store_name#30 ASC NULLS FIRST, s_company_name#31 ASC NULLS FIRST, d_year#32 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST], false, 0

(67) WindowExecTransformer
Input [7]: [i_category#28, i_brand#29, s_store_name#30, s_company_name#31, d_year#32, d_moy#33, sum_sales#37]
Arguments: [rank(d_year#32, d_moy#33) windowspecdefinition(i_category#28, i_brand#29, s_store_name#30, s_company_name#31, d_year#32 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#38], [i_category#28, i_brand#29, s_store_name#30, s_company_name#31], [d_year#32 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST]

(68) ProjectExecTransformer
Output [7]: [hash(i_category#28, i_brand#29, s_store_name#30, s_company_name#31, (rn#38 + 1), 42) AS hash_partition_key#39, i_category#28, i_brand#29, s_store_name#30, s_company_name#31, sum_sales#37, rn#38]
Input [8]: [i_category#28, i_brand#29, s_store_name#30, s_company_name#31, d_year#32, d_moy#33, sum_sales#37, rn#38]

(69) WholeStageCodegenTransformer (16)
Input [7]: [hash_partition_key#39, i_category#28, i_brand#29, s_store_name#30, s_company_name#31, sum_sales#37, rn#38]
Arguments: false

(70) VeloxResizeBatches
Input [7]: [hash_partition_key#39, i_category#28, i_brand#29, s_store_name#30, s_company_name#31, sum_sales#37, rn#38]
Arguments: 1024, 2147483647, 10485760

(71) ColumnarExchange
Input [7]: [hash_partition_key#39, i_category#28, i_brand#29, s_store_name#30, s_company_name#31, sum_sales#37, rn#38]
Arguments: hashpartitioning(i_category#28, i_brand#29, s_store_name#30, s_company_name#31, (rn#38 + 1), 1), ENSURE_REQUIREMENTS, [i_category#28, i_brand#29, s_store_name#30, s_company_name#31, sum_sales#37, rn#38], [plan_id=8], [shuffle_writer_type=hash]

(72) InputAdapter
Input [6]: [i_category#28, i_brand#29, s_store_name#30, s_company_name#31, sum_sales#37, rn#38]

(73) InputIteratorTransformer
Input [6]: [i_category#28, i_brand#29, s_store_name#30, s_company_name#31, sum_sales#37, rn#38]

(74) ShuffledHashJoinExecTransformer
Left keys [5]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, rn#25]
Right keys [5]: [i_category#28, i_brand#29, s_store_name#30, s_company_name#31, (rn#38 + 1)]
Join type: Inner
Join condition: None

(75) ProjectExecTransformer
Output [10]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum_sales#23, avg_monthly_sales#26, rn#25, sum_sales#37]
Input [15]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum_sales#23, avg_monthly_sales#26, rn#25, i_category#28, i_brand#29, s_store_name#30, s_company_name#31, sum_sales#37, rn#38]

(76) ReusedExchange [Reuses operator id: 63]
Output [7]: [i_category#40, i_brand#41, s_store_name#42, s_company_name#43, d_year#44, d_moy#45, sum_sales#46]

(77) InputAdapter
Input [7]: [i_category#40, i_brand#41, s_store_name#42, s_company_name#43, d_year#44, d_moy#45, sum_sales#46]

(78) InputIteratorTransformer
Input [7]: [i_category#40, i_brand#41, s_store_name#42, s_company_name#43, d_year#44, d_moy#45, sum_sales#46]

(79) SortExecTransformer
Input [7]: [i_category#40, i_brand#41, s_store_name#42, s_company_name#43, d_year#44, d_moy#45, sum_sales#46]
Arguments: [i_category#40 ASC NULLS FIRST, i_brand#41 ASC NULLS FIRST, s_store_name#42 ASC NULLS FIRST, s_company_name#43 ASC NULLS FIRST, d_year#44 ASC NULLS FIRST, d_moy#45 ASC NULLS FIRST], false, 0

(80) WindowExecTransformer
Input [7]: [i_category#40, i_brand#41, s_store_name#42, s_company_name#43, d_year#44, d_moy#45, sum_sales#46]
Arguments: [rank(d_year#44, d_moy#45) windowspecdefinition(i_category#40, i_brand#41, s_store_name#42, s_company_name#43, d_year#44 ASC NULLS FIRST, d_moy#45 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#47], [i_category#40, i_brand#41, s_store_name#42, s_company_name#43], [d_year#44 ASC NULLS FIRST, d_moy#45 ASC NULLS FIRST]

(81) ProjectExecTransformer
Output [7]: [hash(i_category#40, i_brand#41, s_store_name#42, s_company_name#43, (rn#47 - 1), 42) AS hash_partition_key#48, i_category#40, i_brand#41, s_store_name#42, s_company_name#43, sum_sales#46, rn#47]
Input [8]: [i_category#40, i_brand#41, s_store_name#42, s_company_name#43, d_year#44, d_moy#45, sum_sales#46, rn#47]

(82) WholeStageCodegenTransformer (24)
Input [7]: [hash_partition_key#48, i_category#40, i_brand#41, s_store_name#42, s_company_name#43, sum_sales#46, rn#47]
Arguments: false

(83) VeloxResizeBatches
Input [7]: [hash_partition_key#48, i_category#40, i_brand#41, s_store_name#42, s_company_name#43, sum_sales#46, rn#47]
Arguments: 1024, 2147483647, 10485760

(84) ColumnarExchange
Input [7]: [hash_partition_key#48, i_category#40, i_brand#41, s_store_name#42, s_company_name#43, sum_sales#46, rn#47]
Arguments: hashpartitioning(i_category#40, i_brand#41, s_store_name#42, s_company_name#43, (rn#47 - 1), 1), ENSURE_REQUIREMENTS, [i_category#40, i_brand#41, s_store_name#42, s_company_name#43, sum_sales#46, rn#47], [plan_id=9], [shuffle_writer_type=hash]

(85) InputAdapter
Input [6]: [i_category#40, i_brand#41, s_store_name#42, s_company_name#43, sum_sales#46, rn#47]

(86) InputIteratorTransformer
Input [6]: [i_category#40, i_brand#41, s_store_name#42, s_company_name#43, sum_sales#46, rn#47]

(87) ShuffledHashJoinExecTransformer
Left keys [5]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, rn#25]
Right keys [5]: [i_category#40, i_brand#41, s_store_name#42, s_company_name#43, (rn#47 - 1)]
Join type: Inner
Join condition: None

(88) ProjectExecTransformer
Output [11]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, avg_monthly_sales#26, sum_sales#23, sum_sales#37 AS psum#49, sum_sales#46 AS nsum#50, (sum_sales#23 - avg_monthly_sales#26) AS _pre_2#51]
Input [16]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, sum_sales#23, avg_monthly_sales#26, rn#25, sum_sales#37, i_category#40, i_brand#41, s_store_name#42, s_company_name#43, sum_sales#46, rn#47]

(89) WholeStageCodegenTransformer (25)
Input [11]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, avg_monthly_sales#26, sum_sales#23, psum#49, nsum#50, _pre_2#51]
Arguments: false

(90) TakeOrderedAndProjectExecTransformer
Input [11]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, avg_monthly_sales#26, sum_sales#23, psum#49, nsum#50, _pre_2#51]
Arguments: 100, [_pre_2#51 ASC NULLS FIRST, s_store_name#10 ASC NULLS FIRST], [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, avg_monthly_sales#26, sum_sales#23, psum#49, nsum#50], 0

(91) VeloxColumnarToRow
Input [10]: [i_category#15, i_brand#14, s_store_name#10, s_company_name#11, d_year#7, d_moy#8, avg_monthly_sales#26, sum_sales#23, psum#49, nsum#50]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5
ColumnarBroadcastExchange (95)
+- ^ FilterExecTransformer (93)
   +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (92)


(92) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#6, d_year#7, d_moy#8]
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>

(93) FilterExecTransformer
Input [3]: [d_date_sk#6, d_year#7, d_moy#8]
Arguments: ((((d_year#7 = 1999) OR ((d_year#7 = 1998) AND (d_moy#8 = 12))) OR ((d_year#7 = 2000) AND (d_moy#8 = 1))) AND isnotnull(d_date_sk#6))

(94) WholeStageCodegenTransformer (1)
Input [3]: [d_date_sk#6, d_year#7, d_moy#8]
Arguments: false

(95) ColumnarBroadcastExchange
Input [3]: [d_date_sk#6, d_year#7, d_moy#8]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=10]


