== Physical Plan ==
VeloxColumnarToRow (44)
+- TakeOrderedAndProjectExecTransformer (43)
   +- ^ ProjectExecTransformer (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 (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 (21)
                                                      +- ColumnarBroadcastExchange (19)
                                                         +- ^ FilterExecTransformer (17)
                                                            +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (16)


(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), (ss_sold_date_sk#4 >= 2451545), (ss_sold_date_sk#4 <= 2451910), 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: 49]
Output [2]: [d_date_sk#6, d_moy#7]

(4) InputAdapter
Input [2]: [d_date_sk#6, d_moy#7]

(5) InputIteratorTransformer
Input [2]: [d_date_sk#6, d_moy#7]

(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 [4]: [ss_item_sk#1, ss_store_sk#2, ss_sales_price#3, d_moy#7]
Input [6]: [ss_item_sk#1, ss_store_sk#2, ss_sales_price#3, ss_sold_date_sk#4, d_date_sk#6, d_moy#7]

(8) FileSourceScanExecTransformer parquet spark_catalog.default.store
Output [3]: [s_store_sk#8, s_store_name#9, s_company_name#10]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_store_name:string,s_company_name:string>

(9) FilterExecTransformer
Input [3]: [s_store_sk#8, s_store_name#9, s_company_name#10]
Arguments: isnotnull(s_store_sk#8)

(10) WholeStageCodegenTransformer (3)
Input [3]: [s_store_sk#8, s_store_name#9, s_company_name#10]
Arguments: false

(11) ColumnarBroadcastExchange
Input [3]: [s_store_sk#8, s_store_name#9, s_company_name#10]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=1]

(12) InputAdapter
Input [3]: [s_store_sk#8, s_store_name#9, s_company_name#10]

(13) InputIteratorTransformer
Input [3]: [s_store_sk#8, s_store_name#9, s_company_name#10]

(14) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_store_sk#2]
Right keys [1]: [s_store_sk#8]
Join type: Inner
Join condition: None

(15) ProjectExecTransformer
Output [5]: [ss_item_sk#1, ss_sales_price#3, d_moy#7, s_store_name#9, s_company_name#10]
Input [7]: [ss_item_sk#1, ss_store_sk#2, ss_sales_price#3, d_moy#7, s_store_sk#8, s_store_name#9, s_company_name#10]

(16) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [4]: [i_item_sk#11, i_brand#12, i_class#13, i_category#14]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/item]
PushedFilters: [Or(And(In(i_category, [Books                                             ,Electronics                                       ,Home                                              ]),In(i_class, [musical                                           ,parenting                                         ,wallpaper                                         ])),And(In(i_category, [Jewelry                                           ,Men                                               ,Shoes                                             ]),In(i_class, [birdal                                            ,pants                                             ,womens                                            ]))), IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_brand:string,i_class:string,i_category:string>

(17) FilterExecTransformer
Input [4]: [i_item_sk#11, i_brand#12, i_class#13, i_category#14]
Arguments: (((i_category#14 IN (Home                                              ,Books                                             ,Electronics                                       ) AND i_class#13 IN (wallpaper                                         ,parenting                                         ,musical                                           )) OR (i_category#14 IN (Shoes                                             ,Jewelry                                           ,Men                                               ) AND i_class#13 IN (womens                                            ,birdal                                            ,pants                                             ))) AND isnotnull(i_item_sk#11))

(18) WholeStageCodegenTransformer (4)
Input [4]: [i_item_sk#11, i_brand#12, i_class#13, i_category#14]
Arguments: false

(19) ColumnarBroadcastExchange
Input [4]: [i_item_sk#11, i_brand#12, i_class#13, i_category#14]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=2]

(20) InputAdapter
Input [4]: [i_item_sk#11, i_brand#12, i_class#13, i_category#14]

(21) InputIteratorTransformer
Input [4]: [i_item_sk#11, i_brand#12, i_class#13, i_category#14]

(22) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_item_sk#1]
Right keys [1]: [i_item_sk#11]
Join type: Inner
Join condition: None

(23) ProjectExecTransformer
Output [7]: [i_brand#12, i_class#13, i_category#14, d_moy#7, s_store_name#9, s_company_name#10, UnscaledValue(ss_sales_price#3) AS _pre_1#15]
Input [9]: [ss_item_sk#1, ss_sales_price#3, d_moy#7, s_store_name#9, s_company_name#10, i_item_sk#11, i_brand#12, i_class#13, i_category#14]

(24) FlushableHashAggregateExecTransformer
Input [7]: [i_brand#12, i_class#13, i_category#14, d_moy#7, s_store_name#9, s_company_name#10, _pre_1#15]
Keys [6]: [i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7]
Functions [1]: [partial_sum(_pre_1#15)]
Aggregate Attributes [1]: [sum#16]
Results [7]: [i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum#17]

(25) ProjectExecTransformer
Output [8]: [hash(i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, 42) AS hash_partition_key#18, i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum#17]
Input [7]: [i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum#17]

(26) WholeStageCodegenTransformer (5)
Input [8]: [hash_partition_key#18, i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum#17]
Arguments: false

(27) VeloxResizeBatches
Input [8]: [hash_partition_key#18, i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum#17]
Arguments: 1024, 2147483647, 10485760

(28) ColumnarExchange
Input [8]: [hash_partition_key#18, i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum#17]
Arguments: hashpartitioning(i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, 1), ENSURE_REQUIREMENTS, [i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum#17], [plan_id=3], [shuffle_writer_type=hash]

(29) InputAdapter
Input [7]: [i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum#17]

(30) InputIteratorTransformer
Input [7]: [i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum#17]

(31) RegularHashAggregateExecTransformer
Input [7]: [i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum#17]
Keys [6]: [i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7]
Functions [1]: [sum(UnscaledValue(ss_sales_price#3))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#3))#19]
Results [7]: [i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum(UnscaledValue(ss_sales_price#3))#19]

(32) ProjectExecTransformer
Output [9]: [hash(i_category#14, i_brand#12, s_store_name#9, s_company_name#10, 42) AS hash_partition_key#20, i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, MakeDecimal(sum(UnscaledValue(ss_sales_price#3))#19,17,2) AS sum_sales#21, MakeDecimal(sum(UnscaledValue(ss_sales_price#3))#19,17,2) AS _w0#22]
Input [7]: [i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum(UnscaledValue(ss_sales_price#3))#19]

(33) WholeStageCodegenTransformer (6)
Input [9]: [hash_partition_key#20, i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum_sales#21, _w0#22]
Arguments: false

(34) VeloxResizeBatches
Input [9]: [hash_partition_key#20, i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum_sales#21, _w0#22]
Arguments: 1024, 2147483647, 10485760

(35) ColumnarExchange
Input [9]: [hash_partition_key#20, i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum_sales#21, _w0#22]
Arguments: hashpartitioning(i_category#14, i_brand#12, s_store_name#9, s_company_name#10, 1), ENSURE_REQUIREMENTS, [i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum_sales#21, _w0#22], [plan_id=4], [shuffle_writer_type=hash]

(36) InputAdapter
Input [8]: [i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum_sales#21, _w0#22]

(37) InputIteratorTransformer
Input [8]: [i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum_sales#21, _w0#22]

(38) SortExecTransformer
Input [8]: [i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum_sales#21, _w0#22]
Arguments: [i_category#14 ASC NULLS FIRST, i_brand#12 ASC NULLS FIRST, s_store_name#9 ASC NULLS FIRST, s_company_name#10 ASC NULLS FIRST], false, 0

(39) WindowExecTransformer
Input [8]: [i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum_sales#21, _w0#22]
Arguments: [avg(_w0#22) windowspecdefinition(i_category#14, i_brand#12, s_store_name#9, s_company_name#10, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#23], [i_category#14, i_brand#12, s_store_name#9, s_company_name#10]

(40) FilterExecTransformer
Input [9]: [i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum_sales#21, _w0#22, avg_monthly_sales#23]
Arguments: CASE WHEN NOT (avg_monthly_sales#23 = 0.000000) THEN ((abs((sum_sales#21 - avg_monthly_sales#23)) / avg_monthly_sales#23) > 0.1000000000000000) END

(41) ProjectExecTransformer
Output [9]: [i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum_sales#21, avg_monthly_sales#23, (sum_sales#21 - avg_monthly_sales#23) AS _pre_2#24]
Input [9]: [i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum_sales#21, _w0#22, avg_monthly_sales#23]

(42) WholeStageCodegenTransformer (7)
Input [9]: [i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum_sales#21, avg_monthly_sales#23, _pre_2#24]
Arguments: false

(43) TakeOrderedAndProjectExecTransformer
Input [9]: [i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum_sales#21, avg_monthly_sales#23, _pre_2#24]
Arguments: 100, [_pre_2#24 ASC NULLS FIRST, s_store_name#9 ASC NULLS FIRST], [i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum_sales#21, avg_monthly_sales#23], 0

(44) VeloxColumnarToRow
Input [8]: [i_category#14, i_class#13, i_brand#12, s_store_name#9, s_company_name#10, d_moy#7, sum_sales#21, avg_monthly_sales#23]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5
ColumnarBroadcastExchange (49)
+- ^ ProjectExecTransformer (47)
   +- ^ FilterExecTransformer (46)
      +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (45)


(45) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#6, d_year#25, d_moy#7]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2000), GreaterThanOrEqual(d_date_sk,2451545), LessThanOrEqual(d_date_sk,2451910), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(46) FilterExecTransformer
Input [3]: [d_date_sk#6, d_year#25, d_moy#7]
Arguments: ((((isnotnull(d_year#25) AND (d_year#25 = 2000)) AND (d_date_sk#6 >= 2451545)) AND (d_date_sk#6 <= 2451910)) AND isnotnull(d_date_sk#6))

(47) ProjectExecTransformer
Output [2]: [d_date_sk#6, d_moy#7]
Input [3]: [d_date_sk#6, d_year#25, d_moy#7]

(48) WholeStageCodegenTransformer (1)
Input [2]: [d_date_sk#6, d_moy#7]
Arguments: false

(49) ColumnarBroadcastExchange
Input [2]: [d_date_sk#6, d_moy#7]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5]


