== Physical Plan ==
TakeOrderedAndProject (31)
+- * Project (30)
   +- Window (29)
      +- * CometColumnarToRow (28)
         +- CometSort (27)
            +- CometColumnarExchange (26)
               +- * HashAggregate (25)
                  +- * CometColumnarToRow (24)
                     +- CometColumnarExchange (23)
                        +- * HashAggregate (22)
                           +- * Expand (21)
                              +- * Project (20)
                                 +- * BroadcastHashJoin Inner BuildRight (19)
                                    :- * Project (13)
                                    :  +- * BroadcastHashJoin Inner BuildRight (12)
                                    :     :- * Project (6)
                                    :     :  +- * BroadcastHashJoin Inner BuildRight (5)
                                    :     :     :- * Filter (3)
                                    :     :     :  +- * ColumnarToRow (2)
                                    :     :     :     +- Scan parquet spark_catalog.default.store_sales (1)
                                    :     :     +- ReusedExchange (4)
                                    :     +- BroadcastExchange (11)
                                    :        +- * CometColumnarToRow (10)
                                    :           +- CometProject (9)
                                    :              +- CometFilter (8)
                                    :                 +- CometNativeScan parquet spark_catalog.default.item (7)
                                    +- BroadcastExchange (18)
                                       +- * CometColumnarToRow (17)
                                          +- CometProject (16)
                                             +- CometFilter (15)
                                                +- CometNativeScan parquet spark_catalog.default.store (14)


(1) Scan parquet spark_catalog.default.store_sales
Output [5]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, ss_sold_date_sk#5]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#5), dynamicpruningexpression(ss_sold_date_sk#5 IN dynamicpruning#6)]
PushedFilters: [IsNotNull(ss_item_sk), IsNotNull(ss_store_sk)]
ReadSchema: struct<ss_item_sk:int,ss_store_sk:int,ss_ext_sales_price:decimal(7,2),ss_net_profit:decimal(7,2)>

(2) ColumnarToRow [codegen id : 4]
Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, ss_sold_date_sk#5]

(3) Filter [codegen id : 4]
Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, ss_sold_date_sk#5]
Condition : (isnotnull(ss_item_sk#1) AND isnotnull(ss_store_sk#2))

(4) ReusedExchange [Reuses operator id: 36]
Output [1]: [d_date_sk#7]

(5) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [ss_sold_date_sk#5]
Right keys [1]: [d_date_sk#7]
Join type: Inner
Join condition: None

(6) Project [codegen id : 4]
Output [4]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4]
Input [6]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, ss_sold_date_sk#5, d_date_sk#7]

(7) CometNativeScan parquet spark_catalog.default.item
Output [3]: [i_item_sk#8, i_class#9, i_category#10]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_class:string,i_category:string>

(8) CometFilter
Input [3]: [i_item_sk#8, i_class#9, i_category#10]
Condition : isnotnull(i_item_sk#8)

(9) CometProject
Input [3]: [i_item_sk#8, i_class#9, i_category#10]
Arguments: [i_item_sk#8, i_class#11, i_category#12], [i_item_sk#8, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_class#9, 50)) AS i_class#11, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_category#10, 50)) AS i_category#12]

(10) CometColumnarToRow [codegen id : 2]
Input [3]: [i_item_sk#8, i_class#11, i_category#12]

(11) BroadcastExchange
Input [3]: [i_item_sk#8, i_class#11, i_category#12]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=1]

(12) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [ss_item_sk#1]
Right keys [1]: [i_item_sk#8]
Join type: Inner
Join condition: None

(13) Project [codegen id : 4]
Output [5]: [ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, i_class#11, i_category#12]
Input [7]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, i_item_sk#8, i_class#11, i_category#12]

(14) CometNativeScan parquet spark_catalog.default.store
Output [2]: [s_store_sk#13, s_state#14]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_state), IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_state:string>

(15) CometFilter
Input [2]: [s_store_sk#13, s_state#14]
Condition : ((isnotnull(s_state#14) AND (static_invoke(CharVarcharCodegenUtils.readSidePadding(s_state#14, 2)) = TN)) AND isnotnull(s_store_sk#13))

(16) CometProject
Input [2]: [s_store_sk#13, s_state#14]
Arguments: [s_store_sk#13], [s_store_sk#13]

(17) CometColumnarToRow [codegen id : 3]
Input [1]: [s_store_sk#13]

(18) BroadcastExchange
Input [1]: [s_store_sk#13]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]

(19) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [ss_store_sk#2]
Right keys [1]: [s_store_sk#13]
Join type: Inner
Join condition: None

(20) Project [codegen id : 4]
Output [4]: [ss_ext_sales_price#3, ss_net_profit#4, i_category#12, i_class#11]
Input [6]: [ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, i_class#11, i_category#12, s_store_sk#13]

(21) Expand [codegen id : 4]
Input [4]: [ss_ext_sales_price#3, ss_net_profit#4, i_category#12, i_class#11]
Arguments: [[ss_ext_sales_price#3, ss_net_profit#4, i_category#12, i_class#11, 0], [ss_ext_sales_price#3, ss_net_profit#4, i_category#12, null, 1], [ss_ext_sales_price#3, ss_net_profit#4, null, null, 3]], [ss_ext_sales_price#3, ss_net_profit#4, i_category#15, i_class#16, spark_grouping_id#17]

(22) HashAggregate [codegen id : 4]
Input [5]: [ss_ext_sales_price#3, ss_net_profit#4, i_category#15, i_class#16, spark_grouping_id#17]
Keys [3]: [i_category#15, i_class#16, spark_grouping_id#17]
Functions [2]: [partial_sum(UnscaledValue(ss_net_profit#4)), partial_sum(UnscaledValue(ss_ext_sales_price#3))]
Aggregate Attributes [2]: [sum#18, sum#19]
Results [5]: [i_category#15, i_class#16, spark_grouping_id#17, sum#20, sum#21]

(23) CometColumnarExchange
Input [5]: [i_category#15, i_class#16, spark_grouping_id#17, sum#20, sum#21]
Arguments: hashpartitioning(i_category#15, i_class#16, spark_grouping_id#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3]

(24) CometColumnarToRow [codegen id : 5]
Input [5]: [i_category#15, i_class#16, spark_grouping_id#17, sum#20, sum#21]

(25) HashAggregate [codegen id : 5]
Input [5]: [i_category#15, i_class#16, spark_grouping_id#17, sum#20, sum#21]
Keys [3]: [i_category#15, i_class#16, spark_grouping_id#17]
Functions [2]: [sum(UnscaledValue(ss_net_profit#4)), sum(UnscaledValue(ss_ext_sales_price#3))]
Aggregate Attributes [2]: [sum(UnscaledValue(ss_net_profit#4))#22, sum(UnscaledValue(ss_ext_sales_price#3))#23]
Results [7]: [(MakeDecimal(sum(UnscaledValue(ss_net_profit#4))#22,17,2) / MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#3))#23,17,2)) AS gross_margin#24, i_category#15, i_class#16, (cast((shiftright(spark_grouping_id#17, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#17, 0) & 1) as tinyint)) AS lochierarchy#25, (MakeDecimal(sum(UnscaledValue(ss_net_profit#4))#22,17,2) / MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#3))#23,17,2)) AS _w0#26, (cast((shiftright(spark_grouping_id#17, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#17, 0) & 1) as tinyint)) AS _w1#27, CASE WHEN (cast((shiftright(spark_grouping_id#17, 0) & 1) as tinyint) = 0) THEN i_category#15 END AS _w2#28]

(26) CometColumnarExchange
Input [7]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28]
Arguments: hashpartitioning(_w1#27, _w2#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4]

(27) CometSort
Input [7]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28]
Arguments: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28], [_w1#27 ASC NULLS FIRST, _w2#28 ASC NULLS FIRST, _w0#26 ASC NULLS FIRST]

(28) CometColumnarToRow [codegen id : 6]
Input [7]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28]

(29) Window
Input [7]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28]
Arguments: [rank(_w0#26) windowspecdefinition(_w1#27, _w2#28, _w0#26 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#29], [_w1#27, _w2#28], [_w0#26 ASC NULLS FIRST]

(30) Project [codegen id : 7]
Output [5]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, rank_within_parent#29]
Input [8]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28, rank_within_parent#29]

(31) TakeOrderedAndProject
Input [5]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, rank_within_parent#29]
Arguments: 100, [lochierarchy#25 DESC NULLS LAST, CASE WHEN (lochierarchy#25 = 0) THEN i_category#15 END ASC NULLS FIRST, rank_within_parent#29 ASC NULLS FIRST], [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, rank_within_parent#29]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6
BroadcastExchange (36)
+- * CometColumnarToRow (35)
   +- CometProject (34)
      +- CometFilter (33)
         +- CometNativeScan parquet spark_catalog.default.date_dim (32)


(32) CometNativeScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#7, d_year#30]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(33) CometFilter
Input [2]: [d_date_sk#7, d_year#30]
Condition : ((isnotnull(d_year#30) AND (d_year#30 = 2001)) AND isnotnull(d_date_sk#7))

(34) CometProject
Input [2]: [d_date_sk#7, d_year#30]
Arguments: [d_date_sk#7], [d_date_sk#7]

(35) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#7]

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


