== Physical Plan ==
TakeOrderedAndProject (30)
+- * Project (29)
   +- Window (28)
      +- * CometColumnarToRow (27)
         +- CometSort (26)
            +- CometExchange (25)
               +- CometHashAggregate (24)
                  +- CometExchange (23)
                     +- CometHashAggregate (22)
                        +- CometExpand (21)
                           +- CometProject (20)
                              +- CometBroadcastHashJoin (19)
                                 :- CometProject (14)
                                 :  +- CometBroadcastHashJoin (13)
                                 :     :- CometProject (8)
                                 :     :  +- CometBroadcastHashJoin (7)
                                 :     :     :- CometFilter (2)
                                 :     :     :  +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1)
                                 :     :     +- CometBroadcastExchange (6)
                                 :     :        +- CometProject (5)
                                 :     :           +- CometFilter (4)
                                 :     :              +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3)
                                 :     +- CometBroadcastExchange (12)
                                 :        +- CometProject (11)
                                 :           +- CometFilter (10)
                                 :              +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (9)
                                 +- CometBroadcastExchange (18)
                                    +- CometProject (17)
                                       +- CometFilter (16)
                                          +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15)


(1) CometScan [native_iceberg_compat] 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) CometFilter
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))

(3) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#7, d_year#8]
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>

(4) CometFilter
Input [2]: [d_date_sk#7, d_year#8]
Condition : ((isnotnull(d_year#8) AND (d_year#8 = 2001)) AND isnotnull(d_date_sk#7))

(5) CometProject
Input [2]: [d_date_sk#7, d_year#8]
Arguments: [d_date_sk#7], [d_date_sk#7]

(6) CometBroadcastExchange
Input [1]: [d_date_sk#7]
Arguments: [d_date_sk#7]

(7) CometBroadcastHashJoin
Left output [5]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, ss_sold_date_sk#5]
Right output [1]: [d_date_sk#7]
Arguments: [ss_sold_date_sk#5], [d_date_sk#7], Inner, BuildRight

(8) CometProject
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]
Arguments: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4], [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4]

(9) CometScan [native_iceberg_compat] parquet spark_catalog.default.item
Output [3]: [i_item_sk#9, i_class#10, i_category#11]
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>

(10) CometFilter
Input [3]: [i_item_sk#9, i_class#10, i_category#11]
Condition : isnotnull(i_item_sk#9)

(11) CometProject
Input [3]: [i_item_sk#9, i_class#10, i_category#11]
Arguments: [i_item_sk#9, i_class#12, i_category#13], [i_item_sk#9, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_class#10, 50, true, false, true) AS i_class#12, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_category#11, 50, true, false, true) AS i_category#13]

(12) CometBroadcastExchange
Input [3]: [i_item_sk#9, i_class#12, i_category#13]
Arguments: [i_item_sk#9, i_class#12, i_category#13]

(13) CometBroadcastHashJoin
Left output [4]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4]
Right output [3]: [i_item_sk#9, i_class#12, i_category#13]
Arguments: [ss_item_sk#1], [i_item_sk#9], Inner, BuildRight

(14) CometProject
Input [7]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, i_item_sk#9, i_class#12, i_category#13]
Arguments: [ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, i_class#12, i_category#13], [ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, i_class#12, i_category#13]

(15) CometScan [native_iceberg_compat] parquet spark_catalog.default.store
Output [2]: [s_store_sk#14, s_state#15]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_state:string>

(16) CometFilter
Input [2]: [s_store_sk#14, s_state#15]
Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#15, 2, true, false, true) = TN) AND isnotnull(s_store_sk#14))

(17) CometProject
Input [2]: [s_store_sk#14, s_state#15]
Arguments: [s_store_sk#14], [s_store_sk#14]

(18) CometBroadcastExchange
Input [1]: [s_store_sk#14]
Arguments: [s_store_sk#14]

(19) CometBroadcastHashJoin
Left output [5]: [ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, i_class#12, i_category#13]
Right output [1]: [s_store_sk#14]
Arguments: [ss_store_sk#2], [s_store_sk#14], Inner, BuildRight

(20) CometProject
Input [6]: [ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, i_class#12, i_category#13, s_store_sk#14]
Arguments: [ss_ext_sales_price#3, ss_net_profit#4, i_category#13, i_class#12], [ss_ext_sales_price#3, ss_net_profit#4, i_category#13, i_class#12]

(21) CometExpand
Input [4]: [ss_ext_sales_price#3, ss_net_profit#4, i_category#13, i_class#12]
Arguments: [[ss_ext_sales_price#3, ss_net_profit#4, i_category#13, i_class#12, 0], [ss_ext_sales_price#3, ss_net_profit#4, i_category#13, 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#16, i_class#17, spark_grouping_id#18]

(22) CometHashAggregate
Input [5]: [ss_ext_sales_price#3, ss_net_profit#4, i_category#16, i_class#17, spark_grouping_id#18]
Keys [3]: [i_category#16, i_class#17, spark_grouping_id#18]
Functions [2]: [partial_sum(UnscaledValue(ss_net_profit#4)), partial_sum(UnscaledValue(ss_ext_sales_price#3))]

(23) CometExchange
Input [5]: [i_category#16, i_class#17, spark_grouping_id#18, sum#19, sum#20]
Arguments: hashpartitioning(i_category#16, i_class#17, spark_grouping_id#18, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(24) CometHashAggregate
Input [5]: [i_category#16, i_class#17, spark_grouping_id#18, sum#19, sum#20]
Keys [3]: [i_category#16, i_class#17, spark_grouping_id#18]
Functions [2]: [sum(UnscaledValue(ss_net_profit#4)), sum(UnscaledValue(ss_ext_sales_price#3))]

(25) CometExchange
Input [7]: [gross_margin#21, i_category#16, i_class#17, lochierarchy#22, _w0#23, _w1#24, _w2#25]
Arguments: hashpartitioning(_w1#24, _w2#25, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2]

(26) CometSort
Input [7]: [gross_margin#21, i_category#16, i_class#17, lochierarchy#22, _w0#23, _w1#24, _w2#25]
Arguments: [gross_margin#21, i_category#16, i_class#17, lochierarchy#22, _w0#23, _w1#24, _w2#25], [_w1#24 ASC NULLS FIRST, _w2#25 ASC NULLS FIRST, _w0#23 ASC NULLS FIRST]

(27) CometColumnarToRow [codegen id : 1]
Input [7]: [gross_margin#21, i_category#16, i_class#17, lochierarchy#22, _w0#23, _w1#24, _w2#25]

(28) Window
Input [7]: [gross_margin#21, i_category#16, i_class#17, lochierarchy#22, _w0#23, _w1#24, _w2#25]
Arguments: [rank(_w0#23) windowspecdefinition(_w1#24, _w2#25, _w0#23 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#26], [_w1#24, _w2#25], [_w0#23 ASC NULLS FIRST]

(29) Project [codegen id : 2]
Output [5]: [gross_margin#21, i_category#16, i_class#17, lochierarchy#22, rank_within_parent#26]
Input [8]: [gross_margin#21, i_category#16, i_class#17, lochierarchy#22, _w0#23, _w1#24, _w2#25, rank_within_parent#26]

(30) TakeOrderedAndProject
Input [5]: [gross_margin#21, i_category#16, i_class#17, lochierarchy#22, rank_within_parent#26]
Arguments: 100, [lochierarchy#22 DESC NULLS LAST, CASE WHEN (lochierarchy#22 = 0) THEN i_category#16 END ASC NULLS FIRST, rank_within_parent#26 ASC NULLS FIRST], [gross_margin#21, i_category#16, i_class#17, lochierarchy#22, rank_within_parent#26]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6
BroadcastExchange (35)
+- * CometColumnarToRow (34)
   +- CometProject (33)
      +- CometFilter (32)
         +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (31)


(31) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#7, d_year#8]
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>

(32) CometFilter
Input [2]: [d_date_sk#7, d_year#8]
Condition : ((isnotnull(d_year#8) AND (d_year#8 = 2001)) AND isnotnull(d_date_sk#7))

(33) CometProject
Input [2]: [d_date_sk#7, d_year#8]
Arguments: [d_date_sk#7], [d_date_sk#7]

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

(35) BroadcastExchange
Input [1]: [d_date_sk#7]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]


