== 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.catalog_sales (1)
         :     :                                                              :              :     +- ^ InputIteratorTransformer (5)
         :     :                                                              :              :        +- ReusedExchange (3)
         :     :                                                              :              +- ^ InputIteratorTransformer (13)
         :     :                                                              :                 +- ColumnarBroadcastExchange (11)
         :     :                                                              :                    +- ^ FilterExecTransformer (9)
         :     :                                                              :                       +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.call_center (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.catalog_sales
Output [4]: [cs_call_center_sk#1, cs_item_sk#2, cs_sales_price#3, cs_sold_date_sk#4]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#4), dynamicpruningexpression(cs_sold_date_sk#4 IN dynamicpruning#5)]
PushedFilters: [IsNotNull(cs_item_sk), IsNotNull(cs_call_center_sk)]
ReadSchema: struct<cs_call_center_sk:int,cs_item_sk:int,cs_sales_price:decimal(7,2)>

(2) FilterExecTransformer
Input [4]: [cs_call_center_sk#1, cs_item_sk#2, cs_sales_price#3, cs_sold_date_sk#4]
Arguments: (isnotnull(cs_item_sk#2) AND isnotnull(cs_call_center_sk#1))

(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]: [cs_sold_date_sk#4]
Right keys [1]: [d_date_sk#6]
Join type: Inner
Join condition: None

(7) ProjectExecTransformer
Output [5]: [cs_call_center_sk#1, cs_item_sk#2, cs_sales_price#3, d_year#7, d_moy#8]
Input [7]: [cs_call_center_sk#1, cs_item_sk#2, cs_sales_price#3, cs_sold_date_sk#4, d_date_sk#6, d_year#7, d_moy#8]

(8) FileSourceScanExecTransformer parquet spark_catalog.default.call_center
Output [2]: [cc_call_center_sk#9, cc_name#10]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/call_center]
PushedFilters: [IsNotNull(cc_call_center_sk), IsNotNull(cc_name)]
ReadSchema: struct<cc_call_center_sk:int,cc_name:string>

(9) FilterExecTransformer
Input [2]: [cc_call_center_sk#9, cc_name#10]
Arguments: (isnotnull(cc_call_center_sk#9) AND isnotnull(cc_name#10))

(10) WholeStageCodegenTransformer (3)
Input [2]: [cc_call_center_sk#9, cc_name#10]
Arguments: false

(11) ColumnarBroadcastExchange
Input [2]: [cc_call_center_sk#9, cc_name#10]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=1]

(12) InputAdapter
Input [2]: [cc_call_center_sk#9, cc_name#10]

(13) InputIteratorTransformer
Input [2]: [cc_call_center_sk#9, cc_name#10]

(14) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_call_center_sk#1]
Right keys [1]: [cc_call_center_sk#9]
Join type: Inner
Join condition: None

(15) ProjectExecTransformer
Output [6]: [hash(cs_item_sk#2, 42) AS hash_partition_key#11, cs_item_sk#2, cs_sales_price#3, d_year#7, d_moy#8, cc_name#10]
Input [7]: [cs_call_center_sk#1, cs_item_sk#2, cs_sales_price#3, d_year#7, d_moy#8, cc_call_center_sk#9, cc_name#10]

(16) WholeStageCodegenTransformer (4)
Input [6]: [hash_partition_key#11, cs_item_sk#2, cs_sales_price#3, d_year#7, d_moy#8, cc_name#10]
Arguments: false

(17) VeloxResizeBatches
Input [6]: [hash_partition_key#11, cs_item_sk#2, cs_sales_price#3, d_year#7, d_moy#8, cc_name#10]
Arguments: 1024, 2147483647, 10485760

(18) ColumnarExchange
Input [6]: [hash_partition_key#11, cs_item_sk#2, cs_sales_price#3, d_year#7, d_moy#8, cc_name#10]
Arguments: hashpartitioning(cs_item_sk#2, 1), ENSURE_REQUIREMENTS, [cs_item_sk#2, cs_sales_price#3, d_year#7, d_moy#8, cc_name#10], [plan_id=2], [shuffle_writer_type=hash]

(19) InputAdapter
Input [5]: [cs_item_sk#2, cs_sales_price#3, d_year#7, d_moy#8, cc_name#10]

(20) InputIteratorTransformer
Input [5]: [cs_item_sk#2, cs_sales_price#3, d_year#7, d_moy#8, cc_name#10]

(21) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [3]: [i_item_sk#12, i_brand#13, i_category#14]
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#12, i_brand#13, i_category#14]
Arguments: ((isnotnull(i_item_sk#12) AND isnotnull(i_category#14)) AND isnotnull(i_brand#13))

(23) ProjectExecTransformer
Output [4]: [hash(i_item_sk#12, 42) AS hash_partition_key#15, i_item_sk#12, i_brand#13, i_category#14]
Input [3]: [i_item_sk#12, i_brand#13, i_category#14]

(24) WholeStageCodegenTransformer (5)
Input [4]: [hash_partition_key#15, i_item_sk#12, i_brand#13, i_category#14]
Arguments: false

(25) VeloxResizeBatches
Input [4]: [hash_partition_key#15, i_item_sk#12, i_brand#13, i_category#14]
Arguments: 1024, 2147483647, 10485760

(26) ColumnarExchange
Input [4]: [hash_partition_key#15, i_item_sk#12, i_brand#13, i_category#14]
Arguments: hashpartitioning(i_item_sk#12, 1), ENSURE_REQUIREMENTS, [i_item_sk#12, i_brand#13, i_category#14], [plan_id=3], [shuffle_writer_type=hash]

(27) InputAdapter
Input [3]: [i_item_sk#12, i_brand#13, i_category#14]

(28) InputIteratorTransformer
Input [3]: [i_item_sk#12, i_brand#13, i_category#14]

(29) ShuffledHashJoinExecTransformer
Left keys [1]: [cs_item_sk#2]
Right keys [1]: [i_item_sk#12]
Join type: Inner
Join condition: None

(30) ProjectExecTransformer
Output [6]: [i_brand#13, i_category#14, d_year#7, d_moy#8, cc_name#10, UnscaledValue(cs_sales_price#3) AS _pre_1#16]
Input [8]: [cs_item_sk#2, cs_sales_price#3, d_year#7, d_moy#8, cc_name#10, i_item_sk#12, i_brand#13, i_category#14]

(31) FlushableHashAggregateExecTransformer
Input [6]: [i_brand#13, i_category#14, d_year#7, d_moy#8, cc_name#10, _pre_1#16]
Keys [5]: [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8]
Functions [1]: [partial_sum(_pre_1#16)]
Aggregate Attributes [1]: [sum#17]
Results [6]: [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum#18]

(32) ProjectExecTransformer
Output [7]: [hash(i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, 42) AS hash_partition_key#19, i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum#18]
Input [6]: [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum#18]

(33) WholeStageCodegenTransformer (6)
Input [7]: [hash_partition_key#19, i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum#18]
Arguments: false

(34) VeloxResizeBatches
Input [7]: [hash_partition_key#19, i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum#18]
Arguments: 1024, 2147483647, 10485760

(35) ColumnarExchange
Input [7]: [hash_partition_key#19, i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum#18]
Arguments: hashpartitioning(i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, 1), ENSURE_REQUIREMENTS, [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum#18], [plan_id=4], [shuffle_writer_type=hash]

(36) InputAdapter
Input [6]: [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum#18]

(37) InputIteratorTransformer
Input [6]: [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum#18]

(38) RegularHashAggregateExecTransformer
Input [6]: [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum#18]
Keys [5]: [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8]
Functions [1]: [sum(UnscaledValue(cs_sales_price#3))]
Aggregate Attributes [1]: [sum(UnscaledValue(cs_sales_price#3))#20]
Results [6]: [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum(UnscaledValue(cs_sales_price#3))#20]

(39) ProjectExecTransformer
Output [8]: [hash(i_category#14, i_brand#13, cc_name#10, 42) AS hash_partition_key#21, i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, MakeDecimal(sum(UnscaledValue(cs_sales_price#3))#20,17,2) AS sum_sales#22, MakeDecimal(sum(UnscaledValue(cs_sales_price#3))#20,17,2) AS _w0#23]
Input [6]: [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum(UnscaledValue(cs_sales_price#3))#20]

(40) WholeStageCodegenTransformer (7)
Input [8]: [hash_partition_key#21, i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum_sales#22, _w0#23]
Arguments: false

(41) VeloxResizeBatches
Input [8]: [hash_partition_key#21, i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum_sales#22, _w0#23]
Arguments: 1024, 2147483647, 10485760

(42) ColumnarExchange
Input [8]: [hash_partition_key#21, i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum_sales#22, _w0#23]
Arguments: hashpartitioning(i_category#14, i_brand#13, cc_name#10, 1), ENSURE_REQUIREMENTS, [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum_sales#22, _w0#23], [plan_id=5], [shuffle_writer_type=hash]

(43) InputAdapter
Input [7]: [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum_sales#22, _w0#23]

(44) InputIteratorTransformer
Input [7]: [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum_sales#22, _w0#23]

(45) SortExecTransformer
Input [7]: [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum_sales#22, _w0#23]
Arguments: [i_category#14 ASC NULLS FIRST, i_brand#13 ASC NULLS FIRST, cc_name#10 ASC NULLS FIRST, d_year#7 ASC NULLS FIRST, d_moy#8 ASC NULLS FIRST], false, 0

(46) WindowExecTransformer
Input [7]: [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum_sales#22, _w0#23]
Arguments: [rank(d_year#7, d_moy#8) windowspecdefinition(i_category#14, i_brand#13, cc_name#10, d_year#7 ASC NULLS FIRST, d_moy#8 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#24], [i_category#14, i_brand#13, cc_name#10], [d_year#7 ASC NULLS FIRST, d_moy#8 ASC NULLS FIRST]

(47) FilterExecTransformer
Input [8]: [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum_sales#22, _w0#23, rn#24]
Arguments: (isnotnull(d_year#7) AND (d_year#7 = 1999))

(48) WindowExecTransformer
Input [8]: [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum_sales#22, _w0#23, rn#24]
Arguments: [avg(_w0#23) windowspecdefinition(i_category#14, i_brand#13, cc_name#10, d_year#7, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#25], [i_category#14, i_brand#13, cc_name#10, d_year#7]

(49) FilterExecTransformer
Input [9]: [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum_sales#22, _w0#23, rn#24, avg_monthly_sales#25]
Arguments: ((isnotnull(avg_monthly_sales#25) AND (avg_monthly_sales#25 > 0.000000)) AND CASE WHEN (avg_monthly_sales#25 > 0.000000) THEN ((abs((sum_sales#22 - avg_monthly_sales#25)) / avg_monthly_sales#25) > 0.1000000000000000) END)

(50) ProjectExecTransformer
Output [9]: [hash(i_category#14, i_brand#13, cc_name#10, rn#24, 42) AS hash_partition_key#26, i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum_sales#22, avg_monthly_sales#25, rn#24]
Input [9]: [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum_sales#22, _w0#23, rn#24, avg_monthly_sales#25]

(51) WholeStageCodegenTransformer (8)
Input [9]: [hash_partition_key#26, i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum_sales#22, avg_monthly_sales#25, rn#24]
Arguments: false

(52) VeloxResizeBatches
Input [9]: [hash_partition_key#26, i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum_sales#22, avg_monthly_sales#25, rn#24]
Arguments: 1024, 2147483647, 10485760

(53) ColumnarExchange
Input [9]: [hash_partition_key#26, i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum_sales#22, avg_monthly_sales#25, rn#24]
Arguments: hashpartitioning(i_category#14, i_brand#13, cc_name#10, rn#24, 1), ENSURE_REQUIREMENTS, [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum_sales#22, avg_monthly_sales#25, rn#24], [plan_id=6], [shuffle_writer_type=hash]

(54) InputAdapter
Input [8]: [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum_sales#22, avg_monthly_sales#25, rn#24]

(55) InputIteratorTransformer
Input [8]: [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum_sales#22, avg_monthly_sales#25, rn#24]

(56) ReusedExchange [Reuses operator id: 35]
Output [6]: [i_category#27, i_brand#28, cc_name#29, d_year#30, d_moy#31, sum#32]

(57) InputAdapter
Input [6]: [i_category#27, i_brand#28, cc_name#29, d_year#30, d_moy#31, sum#32]

(58) InputIteratorTransformer
Input [6]: [i_category#27, i_brand#28, cc_name#29, d_year#30, d_moy#31, sum#32]

(59) RegularHashAggregateExecTransformer
Input [6]: [i_category#27, i_brand#28, cc_name#29, d_year#30, d_moy#31, sum#32]
Keys [5]: [i_category#27, i_brand#28, cc_name#29, d_year#30, d_moy#31]
Functions [1]: [sum(UnscaledValue(cs_sales_price#33))]
Aggregate Attributes [1]: [sum(UnscaledValue(cs_sales_price#33))#20]
Results [6]: [i_category#27, i_brand#28, cc_name#29, d_year#30, d_moy#31, sum(UnscaledValue(cs_sales_price#33))#20]

(60) ProjectExecTransformer
Output [7]: [hash(i_category#27, i_brand#28, cc_name#29, 42) AS hash_partition_key#34, i_category#27, i_brand#28, cc_name#29, d_year#30, d_moy#31, MakeDecimal(sum(UnscaledValue(cs_sales_price#33))#20,17,2) AS sum_sales#35]
Input [6]: [i_category#27, i_brand#28, cc_name#29, d_year#30, d_moy#31, sum(UnscaledValue(cs_sales_price#33))#20]

(61) WholeStageCodegenTransformer (15)
Input [7]: [hash_partition_key#34, i_category#27, i_brand#28, cc_name#29, d_year#30, d_moy#31, sum_sales#35]
Arguments: false

(62) VeloxResizeBatches
Input [7]: [hash_partition_key#34, i_category#27, i_brand#28, cc_name#29, d_year#30, d_moy#31, sum_sales#35]
Arguments: 1024, 2147483647, 10485760

(63) ColumnarExchange
Input [7]: [hash_partition_key#34, i_category#27, i_brand#28, cc_name#29, d_year#30, d_moy#31, sum_sales#35]
Arguments: hashpartitioning(i_category#27, i_brand#28, cc_name#29, 1), ENSURE_REQUIREMENTS, [i_category#27, i_brand#28, cc_name#29, d_year#30, d_moy#31, sum_sales#35], [plan_id=7], [shuffle_writer_type=hash]

(64) InputAdapter
Input [6]: [i_category#27, i_brand#28, cc_name#29, d_year#30, d_moy#31, sum_sales#35]

(65) InputIteratorTransformer
Input [6]: [i_category#27, i_brand#28, cc_name#29, d_year#30, d_moy#31, sum_sales#35]

(66) SortExecTransformer
Input [6]: [i_category#27, i_brand#28, cc_name#29, d_year#30, d_moy#31, sum_sales#35]
Arguments: [i_category#27 ASC NULLS FIRST, i_brand#28 ASC NULLS FIRST, cc_name#29 ASC NULLS FIRST, d_year#30 ASC NULLS FIRST, d_moy#31 ASC NULLS FIRST], false, 0

(67) WindowExecTransformer
Input [6]: [i_category#27, i_brand#28, cc_name#29, d_year#30, d_moy#31, sum_sales#35]
Arguments: [rank(d_year#30, d_moy#31) windowspecdefinition(i_category#27, i_brand#28, cc_name#29, d_year#30 ASC NULLS FIRST, d_moy#31 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#36], [i_category#27, i_brand#28, cc_name#29], [d_year#30 ASC NULLS FIRST, d_moy#31 ASC NULLS FIRST]

(68) ProjectExecTransformer
Output [6]: [hash(i_category#27, i_brand#28, cc_name#29, (rn#36 + 1), 42) AS hash_partition_key#37, i_category#27, i_brand#28, cc_name#29, sum_sales#35, rn#36]
Input [7]: [i_category#27, i_brand#28, cc_name#29, d_year#30, d_moy#31, sum_sales#35, rn#36]

(69) WholeStageCodegenTransformer (16)
Input [6]: [hash_partition_key#37, i_category#27, i_brand#28, cc_name#29, sum_sales#35, rn#36]
Arguments: false

(70) VeloxResizeBatches
Input [6]: [hash_partition_key#37, i_category#27, i_brand#28, cc_name#29, sum_sales#35, rn#36]
Arguments: 1024, 2147483647, 10485760

(71) ColumnarExchange
Input [6]: [hash_partition_key#37, i_category#27, i_brand#28, cc_name#29, sum_sales#35, rn#36]
Arguments: hashpartitioning(i_category#27, i_brand#28, cc_name#29, (rn#36 + 1), 1), ENSURE_REQUIREMENTS, [i_category#27, i_brand#28, cc_name#29, sum_sales#35, rn#36], [plan_id=8], [shuffle_writer_type=hash]

(72) InputAdapter
Input [5]: [i_category#27, i_brand#28, cc_name#29, sum_sales#35, rn#36]

(73) InputIteratorTransformer
Input [5]: [i_category#27, i_brand#28, cc_name#29, sum_sales#35, rn#36]

(74) ShuffledHashJoinExecTransformer
Left keys [4]: [i_category#14, i_brand#13, cc_name#10, rn#24]
Right keys [4]: [i_category#27, i_brand#28, cc_name#29, (rn#36 + 1)]
Join type: Inner
Join condition: None

(75) ProjectExecTransformer
Output [9]: [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum_sales#22, avg_monthly_sales#25, rn#24, sum_sales#35]
Input [13]: [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum_sales#22, avg_monthly_sales#25, rn#24, i_category#27, i_brand#28, cc_name#29, sum_sales#35, rn#36]

(76) ReusedExchange [Reuses operator id: 63]
Output [6]: [i_category#38, i_brand#39, cc_name#40, d_year#41, d_moy#42, sum_sales#43]

(77) InputAdapter
Input [6]: [i_category#38, i_brand#39, cc_name#40, d_year#41, d_moy#42, sum_sales#43]

(78) InputIteratorTransformer
Input [6]: [i_category#38, i_brand#39, cc_name#40, d_year#41, d_moy#42, sum_sales#43]

(79) SortExecTransformer
Input [6]: [i_category#38, i_brand#39, cc_name#40, d_year#41, d_moy#42, sum_sales#43]
Arguments: [i_category#38 ASC NULLS FIRST, i_brand#39 ASC NULLS FIRST, cc_name#40 ASC NULLS FIRST, d_year#41 ASC NULLS FIRST, d_moy#42 ASC NULLS FIRST], false, 0

(80) WindowExecTransformer
Input [6]: [i_category#38, i_brand#39, cc_name#40, d_year#41, d_moy#42, sum_sales#43]
Arguments: [rank(d_year#41, d_moy#42) windowspecdefinition(i_category#38, i_brand#39, cc_name#40, d_year#41 ASC NULLS FIRST, d_moy#42 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#44], [i_category#38, i_brand#39, cc_name#40], [d_year#41 ASC NULLS FIRST, d_moy#42 ASC NULLS FIRST]

(81) ProjectExecTransformer
Output [6]: [hash(i_category#38, i_brand#39, cc_name#40, (rn#44 - 1), 42) AS hash_partition_key#45, i_category#38, i_brand#39, cc_name#40, sum_sales#43, rn#44]
Input [7]: [i_category#38, i_brand#39, cc_name#40, d_year#41, d_moy#42, sum_sales#43, rn#44]

(82) WholeStageCodegenTransformer (24)
Input [6]: [hash_partition_key#45, i_category#38, i_brand#39, cc_name#40, sum_sales#43, rn#44]
Arguments: false

(83) VeloxResizeBatches
Input [6]: [hash_partition_key#45, i_category#38, i_brand#39, cc_name#40, sum_sales#43, rn#44]
Arguments: 1024, 2147483647, 10485760

(84) ColumnarExchange
Input [6]: [hash_partition_key#45, i_category#38, i_brand#39, cc_name#40, sum_sales#43, rn#44]
Arguments: hashpartitioning(i_category#38, i_brand#39, cc_name#40, (rn#44 - 1), 1), ENSURE_REQUIREMENTS, [i_category#38, i_brand#39, cc_name#40, sum_sales#43, rn#44], [plan_id=9], [shuffle_writer_type=hash]

(85) InputAdapter
Input [5]: [i_category#38, i_brand#39, cc_name#40, sum_sales#43, rn#44]

(86) InputIteratorTransformer
Input [5]: [i_category#38, i_brand#39, cc_name#40, sum_sales#43, rn#44]

(87) ShuffledHashJoinExecTransformer
Left keys [4]: [i_category#14, i_brand#13, cc_name#10, rn#24]
Right keys [4]: [i_category#38, i_brand#39, cc_name#40, (rn#44 - 1)]
Join type: Inner
Join condition: None

(88) ProjectExecTransformer
Output [9]: [i_category#14, i_brand#13, d_year#7, d_moy#8, avg_monthly_sales#25, sum_sales#22, sum_sales#35 AS psum#46, sum_sales#43 AS nsum#47, (sum_sales#22 - avg_monthly_sales#25) AS _pre_2#48]
Input [14]: [i_category#14, i_brand#13, cc_name#10, d_year#7, d_moy#8, sum_sales#22, avg_monthly_sales#25, rn#24, sum_sales#35, i_category#38, i_brand#39, cc_name#40, sum_sales#43, rn#44]

(89) WholeStageCodegenTransformer (25)
Input [9]: [i_category#14, i_brand#13, d_year#7, d_moy#8, avg_monthly_sales#25, sum_sales#22, psum#46, nsum#47, _pre_2#48]
Arguments: false

(90) TakeOrderedAndProjectExecTransformer
Input [9]: [i_category#14, i_brand#13, d_year#7, d_moy#8, avg_monthly_sales#25, sum_sales#22, psum#46, nsum#47, _pre_2#48]
Arguments: 100, [_pre_2#48 ASC NULLS FIRST, d_year#7 ASC NULLS FIRST], [i_category#14, i_brand#13, d_year#7, d_moy#8, avg_monthly_sales#25, sum_sales#22, psum#46, nsum#47], 0

(91) VeloxColumnarToRow
Input [8]: [i_category#14, i_brand#13, d_year#7, d_moy#8, avg_monthly_sales#25, sum_sales#22, psum#46, nsum#47]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = cs_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]


