== Physical Plan ==
TakeOrderedAndProject (50)
+- * Project (49)
   +- * BroadcastHashJoin Inner BuildRight (48)
      :- * Project (33)
      :  +- * BroadcastHashJoin Inner BuildRight (32)
      :     :- * HashAggregate (17)
      :     :  +- * CometColumnarToRow (16)
      :     :     +- CometColumnarExchange (15)
      :     :        +- * HashAggregate (14)
      :     :           +- * Project (13)
      :     :              +- * BroadcastHashJoin Inner BuildRight (12)
      :     :                 :- * Project (10)
      :     :                 :  +- * BroadcastHashJoin Inner BuildRight (9)
      :     :                 :     :- * Filter (3)
      :     :                 :     :  +- * ColumnarToRow (2)
      :     :                 :     :     +- Scan parquet spark_catalog.default.store_returns (1)
      :     :                 :     +- BroadcastExchange (8)
      :     :                 :        +- * CometColumnarToRow (7)
      :     :                 :           +- CometProject (6)
      :     :                 :              +- CometFilter (5)
      :     :                 :                 +- CometNativeScan parquet spark_catalog.default.item (4)
      :     :                 +- ReusedExchange (11)
      :     +- BroadcastExchange (31)
      :        +- * HashAggregate (30)
      :           +- * CometColumnarToRow (29)
      :              +- CometColumnarExchange (28)
      :                 +- * HashAggregate (27)
      :                    +- * Project (26)
      :                       +- * BroadcastHashJoin Inner BuildRight (25)
      :                          :- * Project (23)
      :                          :  +- * BroadcastHashJoin Inner BuildRight (22)
      :                          :     :- * Filter (20)
      :                          :     :  +- * ColumnarToRow (19)
      :                          :     :     +- Scan parquet spark_catalog.default.catalog_returns (18)
      :                          :     +- ReusedExchange (21)
      :                          +- ReusedExchange (24)
      +- BroadcastExchange (47)
         +- * HashAggregate (46)
            +- * CometColumnarToRow (45)
               +- CometColumnarExchange (44)
                  +- * HashAggregate (43)
                     +- * Project (42)
                        +- * BroadcastHashJoin Inner BuildRight (41)
                           :- * Project (39)
                           :  +- * BroadcastHashJoin Inner BuildRight (38)
                           :     :- * Filter (36)
                           :     :  +- * ColumnarToRow (35)
                           :     :     +- Scan parquet spark_catalog.default.web_returns (34)
                           :     +- ReusedExchange (37)
                           +- ReusedExchange (40)


(1) Scan parquet spark_catalog.default.store_returns
Output [3]: [sr_item_sk#1, sr_return_quantity#2, sr_returned_date_sk#3]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(sr_returned_date_sk#3), dynamicpruningexpression(sr_returned_date_sk#3 IN dynamicpruning#4)]
PushedFilters: [IsNotNull(sr_item_sk)]
ReadSchema: struct<sr_item_sk:int,sr_return_quantity:int>

(2) ColumnarToRow [codegen id : 3]
Input [3]: [sr_item_sk#1, sr_return_quantity#2, sr_returned_date_sk#3]

(3) Filter [codegen id : 3]
Input [3]: [sr_item_sk#1, sr_return_quantity#2, sr_returned_date_sk#3]
Condition : isnotnull(sr_item_sk#1)

(4) CometNativeScan parquet spark_catalog.default.item
Output [2]: [i_item_sk#5, i_item_id#6]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_item_id:string>

(5) CometFilter
Input [2]: [i_item_sk#5, i_item_id#6]
Condition : (isnotnull(i_item_sk#5) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_item_id#6, 16, true, false, true)))

(6) CometProject
Input [2]: [i_item_sk#5, i_item_id#6]
Arguments: [i_item_sk#5, i_item_id#7], [i_item_sk#5, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_item_id#6, 16, true, false, true) AS i_item_id#7]

(7) CometColumnarToRow [codegen id : 1]
Input [2]: [i_item_sk#5, i_item_id#7]

(8) BroadcastExchange
Input [2]: [i_item_sk#5, i_item_id#7]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=1]

(9) BroadcastHashJoin [codegen id : 3]
Left keys [1]: [sr_item_sk#1]
Right keys [1]: [i_item_sk#5]
Join type: Inner
Join condition: None

(10) Project [codegen id : 3]
Output [3]: [sr_return_quantity#2, sr_returned_date_sk#3, i_item_id#7]
Input [5]: [sr_item_sk#1, sr_return_quantity#2, sr_returned_date_sk#3, i_item_sk#5, i_item_id#7]

(11) ReusedExchange [Reuses operator id: 64]
Output [1]: [d_date_sk#8]

(12) BroadcastHashJoin [codegen id : 3]
Left keys [1]: [sr_returned_date_sk#3]
Right keys [1]: [d_date_sk#8]
Join type: Inner
Join condition: None

(13) Project [codegen id : 3]
Output [2]: [sr_return_quantity#2, i_item_id#7]
Input [4]: [sr_return_quantity#2, sr_returned_date_sk#3, i_item_id#7, d_date_sk#8]

(14) HashAggregate [codegen id : 3]
Input [2]: [sr_return_quantity#2, i_item_id#7]
Keys [1]: [i_item_id#7]
Functions [1]: [partial_sum(sr_return_quantity#2)]
Aggregate Attributes [1]: [sum#9]
Results [2]: [i_item_id#7, sum#10]

(15) CometColumnarExchange
Input [2]: [i_item_id#7, sum#10]
Arguments: hashpartitioning(i_item_id#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2]

(16) CometColumnarToRow [codegen id : 12]
Input [2]: [i_item_id#7, sum#10]

(17) HashAggregate [codegen id : 12]
Input [2]: [i_item_id#7, sum#10]
Keys [1]: [i_item_id#7]
Functions [1]: [sum(sr_return_quantity#2)]
Aggregate Attributes [1]: [sum(sr_return_quantity#2)#11]
Results [2]: [i_item_id#7 AS item_id#12, sum(sr_return_quantity#2)#11 AS sr_item_qty#13]

(18) Scan parquet spark_catalog.default.catalog_returns
Output [3]: [cr_item_sk#14, cr_return_quantity#15, cr_returned_date_sk#16]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cr_returned_date_sk#16), dynamicpruningexpression(cr_returned_date_sk#16 IN dynamicpruning#17)]
PushedFilters: [IsNotNull(cr_item_sk)]
ReadSchema: struct<cr_item_sk:int,cr_return_quantity:int>

(19) ColumnarToRow [codegen id : 6]
Input [3]: [cr_item_sk#14, cr_return_quantity#15, cr_returned_date_sk#16]

(20) Filter [codegen id : 6]
Input [3]: [cr_item_sk#14, cr_return_quantity#15, cr_returned_date_sk#16]
Condition : isnotnull(cr_item_sk#14)

(21) ReusedExchange [Reuses operator id: 8]
Output [2]: [i_item_sk#18, i_item_id#19]

(22) BroadcastHashJoin [codegen id : 6]
Left keys [1]: [cr_item_sk#14]
Right keys [1]: [i_item_sk#18]
Join type: Inner
Join condition: None

(23) Project [codegen id : 6]
Output [3]: [cr_return_quantity#15, cr_returned_date_sk#16, i_item_id#19]
Input [5]: [cr_item_sk#14, cr_return_quantity#15, cr_returned_date_sk#16, i_item_sk#18, i_item_id#19]

(24) ReusedExchange [Reuses operator id: 75]
Output [1]: [d_date_sk#20]

(25) BroadcastHashJoin [codegen id : 6]
Left keys [1]: [cr_returned_date_sk#16]
Right keys [1]: [d_date_sk#20]
Join type: Inner
Join condition: None

(26) Project [codegen id : 6]
Output [2]: [cr_return_quantity#15, i_item_id#19]
Input [4]: [cr_return_quantity#15, cr_returned_date_sk#16, i_item_id#19, d_date_sk#20]

(27) HashAggregate [codegen id : 6]
Input [2]: [cr_return_quantity#15, i_item_id#19]
Keys [1]: [i_item_id#19]
Functions [1]: [partial_sum(cr_return_quantity#15)]
Aggregate Attributes [1]: [sum#21]
Results [2]: [i_item_id#19, sum#22]

(28) CometColumnarExchange
Input [2]: [i_item_id#19, sum#22]
Arguments: hashpartitioning(i_item_id#19, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3]

(29) CometColumnarToRow [codegen id : 7]
Input [2]: [i_item_id#19, sum#22]

(30) HashAggregate [codegen id : 7]
Input [2]: [i_item_id#19, sum#22]
Keys [1]: [i_item_id#19]
Functions [1]: [sum(cr_return_quantity#15)]
Aggregate Attributes [1]: [sum(cr_return_quantity#15)#23]
Results [2]: [i_item_id#19 AS item_id#24, sum(cr_return_quantity#15)#23 AS cr_item_qty#25]

(31) BroadcastExchange
Input [2]: [item_id#24, cr_item_qty#25]
Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=4]

(32) BroadcastHashJoin [codegen id : 12]
Left keys [1]: [item_id#12]
Right keys [1]: [item_id#24]
Join type: Inner
Join condition: None

(33) Project [codegen id : 12]
Output [3]: [item_id#12, sr_item_qty#13, cr_item_qty#25]
Input [4]: [item_id#12, sr_item_qty#13, item_id#24, cr_item_qty#25]

(34) Scan parquet spark_catalog.default.web_returns
Output [3]: [wr_item_sk#26, wr_return_quantity#27, wr_returned_date_sk#28]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(wr_returned_date_sk#28), dynamicpruningexpression(wr_returned_date_sk#28 IN dynamicpruning#17)]
PushedFilters: [IsNotNull(wr_item_sk)]
ReadSchema: struct<wr_item_sk:int,wr_return_quantity:int>

(35) ColumnarToRow [codegen id : 10]
Input [3]: [wr_item_sk#26, wr_return_quantity#27, wr_returned_date_sk#28]

(36) Filter [codegen id : 10]
Input [3]: [wr_item_sk#26, wr_return_quantity#27, wr_returned_date_sk#28]
Condition : isnotnull(wr_item_sk#26)

(37) ReusedExchange [Reuses operator id: 8]
Output [2]: [i_item_sk#29, i_item_id#30]

(38) BroadcastHashJoin [codegen id : 10]
Left keys [1]: [wr_item_sk#26]
Right keys [1]: [i_item_sk#29]
Join type: Inner
Join condition: None

(39) Project [codegen id : 10]
Output [3]: [wr_return_quantity#27, wr_returned_date_sk#28, i_item_id#30]
Input [5]: [wr_item_sk#26, wr_return_quantity#27, wr_returned_date_sk#28, i_item_sk#29, i_item_id#30]

(40) ReusedExchange [Reuses operator id: 75]
Output [1]: [d_date_sk#31]

(41) BroadcastHashJoin [codegen id : 10]
Left keys [1]: [wr_returned_date_sk#28]
Right keys [1]: [d_date_sk#31]
Join type: Inner
Join condition: None

(42) Project [codegen id : 10]
Output [2]: [wr_return_quantity#27, i_item_id#30]
Input [4]: [wr_return_quantity#27, wr_returned_date_sk#28, i_item_id#30, d_date_sk#31]

(43) HashAggregate [codegen id : 10]
Input [2]: [wr_return_quantity#27, i_item_id#30]
Keys [1]: [i_item_id#30]
Functions [1]: [partial_sum(wr_return_quantity#27)]
Aggregate Attributes [1]: [sum#32]
Results [2]: [i_item_id#30, sum#33]

(44) CometColumnarExchange
Input [2]: [i_item_id#30, sum#33]
Arguments: hashpartitioning(i_item_id#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5]

(45) CometColumnarToRow [codegen id : 11]
Input [2]: [i_item_id#30, sum#33]

(46) HashAggregate [codegen id : 11]
Input [2]: [i_item_id#30, sum#33]
Keys [1]: [i_item_id#30]
Functions [1]: [sum(wr_return_quantity#27)]
Aggregate Attributes [1]: [sum(wr_return_quantity#27)#34]
Results [2]: [i_item_id#30 AS item_id#35, sum(wr_return_quantity#27)#34 AS wr_item_qty#36]

(47) BroadcastExchange
Input [2]: [item_id#35, wr_item_qty#36]
Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=6]

(48) BroadcastHashJoin [codegen id : 12]
Left keys [1]: [item_id#12]
Right keys [1]: [item_id#35]
Join type: Inner
Join condition: None

(49) Project [codegen id : 12]
Output [8]: [item_id#12, sr_item_qty#13, (((cast(sr_item_qty#13 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(((sr_item_qty#13 + cr_item_qty#25) + wr_item_qty#36) as double)))) / 3.0) * 100.0) AS sr_dev#37, cr_item_qty#25, (((cast(cr_item_qty#25 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(((sr_item_qty#13 + cr_item_qty#25) + wr_item_qty#36) as double)))) / 3.0) * 100.0) AS cr_dev#38, wr_item_qty#36, (((cast(wr_item_qty#36 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(((sr_item_qty#13 + cr_item_qty#25) + wr_item_qty#36) as double)))) / 3.0) * 100.0) AS wr_dev#39, (cast(((sr_item_qty#13 + cr_item_qty#25) + wr_item_qty#36) as decimal(20,0)) / 3.0) AS average#40]
Input [5]: [item_id#12, sr_item_qty#13, cr_item_qty#25, item_id#35, wr_item_qty#36]

(50) TakeOrderedAndProject
Input [8]: [item_id#12, sr_item_qty#13, sr_dev#37, cr_item_qty#25, cr_dev#38, wr_item_qty#36, wr_dev#39, average#40]
Arguments: 100, [item_id#12 ASC NULLS FIRST, sr_item_qty#13 ASC NULLS FIRST], [item_id#12, sr_item_qty#13, sr_dev#37, cr_item_qty#25, cr_dev#38, wr_item_qty#36, wr_dev#39, average#40]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = sr_returned_date_sk#3 IN dynamicpruning#4
BroadcastExchange (64)
+- * CometColumnarToRow (63)
   +- CometProject (62)
      +- CometBroadcastHashJoin (61)
         :- CometFilter (52)
         :  +- CometNativeScan parquet spark_catalog.default.date_dim (51)
         +- CometBroadcastExchange (60)
            +- CometProject (59)
               +- CometBroadcastHashJoin (58)
                  :- CometNativeScan parquet spark_catalog.default.date_dim (53)
                  +- CometBroadcastExchange (57)
                     +- CometProject (56)
                        +- CometFilter (55)
                           +- CometNativeScan parquet spark_catalog.default.date_dim (54)


(51) CometNativeScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#8, d_date#41]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(52) CometFilter
Input [2]: [d_date_sk#8, d_date#41]
Condition : isnotnull(d_date_sk#8)

(53) CometNativeScan parquet spark_catalog.default.date_dim
Output [2]: [d_date#41, d_week_seq#42]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
ReadSchema: struct<d_date:date,d_week_seq:int>

(54) CometNativeScan parquet spark_catalog.default.date_dim
Output [2]: [d_date#41, d_week_seq#42]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
ReadSchema: struct<d_date:date,d_week_seq:int>

(55) CometFilter
Input [2]: [d_date#41, d_week_seq#42]
Condition : cast(d_date#41 as string) IN (2000-06-30,2000-09-27,2000-11-17)

(56) CometProject
Input [2]: [d_date#41, d_week_seq#42]
Arguments: [d_week_seq#42#43], [d_week_seq#42 AS d_week_seq#42#43]

(57) CometBroadcastExchange
Input [1]: [d_week_seq#42#43]
Arguments: [d_week_seq#42#43]

(58) CometBroadcastHashJoin
Left output [2]: [d_date#41, d_week_seq#42]
Right output [1]: [d_week_seq#42#43]
Arguments: [d_week_seq#42], [d_week_seq#42#43], LeftSemi, BuildRight

(59) CometProject
Input [2]: [d_date#41, d_week_seq#42]
Arguments: [d_date#41#44], [d_date#41 AS d_date#41#44]

(60) CometBroadcastExchange
Input [1]: [d_date#41#44]
Arguments: [d_date#41#44]

(61) CometBroadcastHashJoin
Left output [2]: [d_date_sk#8, d_date#41]
Right output [1]: [d_date#41#44]
Arguments: [d_date#41], [d_date#41#44], LeftSemi, BuildRight

(62) CometProject
Input [2]: [d_date_sk#8, d_date#41]
Arguments: [d_date_sk#8], [d_date_sk#8]

(63) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#8]

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

Subquery:2 Hosting operator id = 18 Hosting Expression = cr_returned_date_sk#16 IN dynamicpruning#17
BroadcastExchange (75)
+- * CometColumnarToRow (74)
   +- CometProject (73)
      +- CometBroadcastHashJoin (72)
         :- CometFilter (66)
         :  +- CometNativeScan parquet spark_catalog.default.date_dim (65)
         +- CometBroadcastExchange (71)
            +- CometProject (70)
               +- CometBroadcastHashJoin (69)
                  :- CometNativeScan parquet spark_catalog.default.date_dim (67)
                  +- ReusedExchange (68)


(65) CometNativeScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#20, d_date#45]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(66) CometFilter
Input [2]: [d_date_sk#20, d_date#45]
Condition : isnotnull(d_date_sk#20)

(67) CometNativeScan parquet spark_catalog.default.date_dim
Output [2]: [d_date#41, d_week_seq#42]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
ReadSchema: struct<d_date:date,d_week_seq:int>

(68) ReusedExchange [Reuses operator id: 57]
Output [1]: [d_week_seq#42#46]

(69) CometBroadcastHashJoin
Left output [2]: [d_date#41, d_week_seq#42]
Right output [1]: [d_week_seq#42#46]
Arguments: [d_week_seq#42], [d_week_seq#42#46], LeftSemi, BuildRight

(70) CometProject
Input [2]: [d_date#41, d_week_seq#42]
Arguments: [d_date#41], [d_date#41]

(71) CometBroadcastExchange
Input [1]: [d_date#41]
Arguments: [d_date#41]

(72) CometBroadcastHashJoin
Left output [2]: [d_date_sk#20, d_date#45]
Right output [1]: [d_date#41]
Arguments: [d_date#45], [d_date#41], LeftSemi, BuildRight

(73) CometProject
Input [2]: [d_date_sk#20, d_date#45]
Arguments: [d_date_sk#20], [d_date_sk#20]

(74) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#20]

(75) BroadcastExchange
Input [1]: [d_date_sk#20]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8]

Subquery:3 Hosting operator id = 34 Hosting Expression = wr_returned_date_sk#28 IN dynamicpruning#17


