== Physical Plan ==
* CometColumnarToRow (26)
+- CometTakeOrderedAndProject (25)
   +- CometHashAggregate (24)
      +- CometExchange (23)
         +- CometHashAggregate (22)
            +- CometProject (21)
               +- CometBroadcastHashJoin (20)
                  :- CometBroadcastExchange (16)
                  :  +- CometProject (15)
                  :     +- CometBroadcastHashJoin (14)
                  :        :- CometProject (9)
                  :        :  +- CometBroadcastHashJoin (8)
                  :        :     :- CometProject (3)
                  :        :     :  +- CometFilter (2)
                  :        :     :     +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (1)
                  :        :     +- CometBroadcastExchange (7)
                  :        :        +- CometProject (6)
                  :        :           +- CometFilter (5)
                  :        :              +- CometScan [native_iceberg_compat] parquet spark_catalog.default.inventory (4)
                  :        +- CometBroadcastExchange (13)
                  :           +- CometProject (12)
                  :              +- CometFilter (11)
                  :                 +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (10)
                  +- CometProject (19)
                     +- CometFilter (18)
                        +- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales (17)


(1) CometScan [native_iceberg_compat] parquet spark_catalog.default.item
Output [5]: [i_item_sk#1, i_item_id#2, i_item_desc#3, i_current_price#4, i_manufact_id#5]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_current_price), GreaterThanOrEqual(i_current_price,68.00), LessThanOrEqual(i_current_price,98.00), In(i_manufact_id, [677,694,808,940]), IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_item_id:string,i_item_desc:string,i_current_price:decimal(7,2),i_manufact_id:int>

(2) CometFilter
Input [5]: [i_item_sk#1, i_item_id#2, i_item_desc#3, i_current_price#4, i_manufact_id#5]
Condition : ((((isnotnull(i_current_price#4) AND (i_current_price#4 >= 68.00)) AND (i_current_price#4 <= 98.00)) AND i_manufact_id#5 IN (677,940,694,808)) AND isnotnull(i_item_sk#1))

(3) CometProject
Input [5]: [i_item_sk#1, i_item_id#2, i_item_desc#3, i_current_price#4, i_manufact_id#5]
Arguments: [i_item_sk#1, i_item_id#6, i_item_desc#3, i_current_price#4], [i_item_sk#1, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_item_id#2, 16, true, false, true) AS i_item_id#6, i_item_desc#3, i_current_price#4]

(4) CometScan [native_iceberg_compat] parquet spark_catalog.default.inventory
Output [3]: [inv_item_sk#7, inv_quantity_on_hand#8, inv_date_sk#9]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(inv_date_sk#9), dynamicpruningexpression(inv_date_sk#9 IN dynamicpruning#10)]
PushedFilters: [IsNotNull(inv_quantity_on_hand), GreaterThanOrEqual(inv_quantity_on_hand,100), LessThanOrEqual(inv_quantity_on_hand,500), IsNotNull(inv_item_sk)]
ReadSchema: struct<inv_item_sk:int,inv_quantity_on_hand:int>

(5) CometFilter
Input [3]: [inv_item_sk#7, inv_quantity_on_hand#8, inv_date_sk#9]
Condition : (((isnotnull(inv_quantity_on_hand#8) AND (inv_quantity_on_hand#8 >= 100)) AND (inv_quantity_on_hand#8 <= 500)) AND isnotnull(inv_item_sk#7))

(6) CometProject
Input [3]: [inv_item_sk#7, inv_quantity_on_hand#8, inv_date_sk#9]
Arguments: [inv_item_sk#7, inv_date_sk#9], [inv_item_sk#7, inv_date_sk#9]

(7) CometBroadcastExchange
Input [2]: [inv_item_sk#7, inv_date_sk#9]
Arguments: [inv_item_sk#7, inv_date_sk#9]

(8) CometBroadcastHashJoin
Left output [4]: [i_item_sk#1, i_item_id#6, i_item_desc#3, i_current_price#4]
Right output [2]: [inv_item_sk#7, inv_date_sk#9]
Arguments: [i_item_sk#1], [inv_item_sk#7], Inner, BuildRight

(9) CometProject
Input [6]: [i_item_sk#1, i_item_id#6, i_item_desc#3, i_current_price#4, inv_item_sk#7, inv_date_sk#9]
Arguments: [i_item_sk#1, i_item_id#6, i_item_desc#3, i_current_price#4, inv_date_sk#9], [i_item_sk#1, i_item_id#6, i_item_desc#3, i_current_price#4, inv_date_sk#9]

(10) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#11, d_date#12]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-02-01), LessThanOrEqual(d_date,2000-04-01), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(11) CometFilter
Input [2]: [d_date_sk#11, d_date#12]
Condition : (((isnotnull(d_date#12) AND (d_date#12 >= 2000-02-01)) AND (d_date#12 <= 2000-04-01)) AND isnotnull(d_date_sk#11))

(12) CometProject
Input [2]: [d_date_sk#11, d_date#12]
Arguments: [d_date_sk#11], [d_date_sk#11]

(13) CometBroadcastExchange
Input [1]: [d_date_sk#11]
Arguments: [d_date_sk#11]

(14) CometBroadcastHashJoin
Left output [5]: [i_item_sk#1, i_item_id#6, i_item_desc#3, i_current_price#4, inv_date_sk#9]
Right output [1]: [d_date_sk#11]
Arguments: [inv_date_sk#9], [d_date_sk#11], Inner, BuildRight

(15) CometProject
Input [6]: [i_item_sk#1, i_item_id#6, i_item_desc#3, i_current_price#4, inv_date_sk#9, d_date_sk#11]
Arguments: [i_item_sk#1, i_item_id#6, i_item_desc#3, i_current_price#4], [i_item_sk#1, i_item_id#6, i_item_desc#3, i_current_price#4]

(16) CometBroadcastExchange
Input [4]: [i_item_sk#1, i_item_id#6, i_item_desc#3, i_current_price#4]
Arguments: [i_item_sk#1, i_item_id#6, i_item_desc#3, i_current_price#4]

(17) CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales
Output [2]: [cs_item_sk#13, cs_sold_date_sk#14]
Batched: true
Location [not included in comparison]/{warehouse_dir}/catalog_sales]
PushedFilters: [IsNotNull(cs_item_sk)]
ReadSchema: struct<cs_item_sk:int>

(18) CometFilter
Input [2]: [cs_item_sk#13, cs_sold_date_sk#14]
Condition : isnotnull(cs_item_sk#13)

(19) CometProject
Input [2]: [cs_item_sk#13, cs_sold_date_sk#14]
Arguments: [cs_item_sk#13], [cs_item_sk#13]

(20) CometBroadcastHashJoin
Left output [4]: [i_item_sk#1, i_item_id#6, i_item_desc#3, i_current_price#4]
Right output [1]: [cs_item_sk#13]
Arguments: [i_item_sk#1], [cs_item_sk#13], Inner, BuildLeft

(21) CometProject
Input [5]: [i_item_sk#1, i_item_id#6, i_item_desc#3, i_current_price#4, cs_item_sk#13]
Arguments: [i_item_id#6, i_item_desc#3, i_current_price#4], [i_item_id#6, i_item_desc#3, i_current_price#4]

(22) CometHashAggregate
Input [3]: [i_item_id#6, i_item_desc#3, i_current_price#4]
Keys [3]: [i_item_id#6, i_item_desc#3, i_current_price#4]
Functions: []

(23) CometExchange
Input [3]: [i_item_id#6, i_item_desc#3, i_current_price#4]
Arguments: hashpartitioning(i_item_id#6, i_item_desc#3, i_current_price#4, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(24) CometHashAggregate
Input [3]: [i_item_id#6, i_item_desc#3, i_current_price#4]
Keys [3]: [i_item_id#6, i_item_desc#3, i_current_price#4]
Functions: []

(25) CometTakeOrderedAndProject
Input [3]: [i_item_id#6, i_item_desc#3, i_current_price#4]
Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#6 ASC NULLS FIRST], output=[i_item_id#6,i_item_desc#3,i_current_price#4]), [i_item_id#6, i_item_desc#3, i_current_price#4], 100, 0, [i_item_id#6 ASC NULLS FIRST], [i_item_id#6, i_item_desc#3, i_current_price#4]

(26) CometColumnarToRow [codegen id : 1]
Input [3]: [i_item_id#6, i_item_desc#3, i_current_price#4]

===== Subqueries =====

Subquery:1 Hosting operator id = 4 Hosting Expression = inv_date_sk#9 IN dynamicpruning#10
BroadcastExchange (31)
+- * CometColumnarToRow (30)
   +- CometProject (29)
      +- CometFilter (28)
         +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (27)


(27) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#11, d_date#12]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-02-01), LessThanOrEqual(d_date,2000-04-01), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(28) CometFilter
Input [2]: [d_date_sk#11, d_date#12]
Condition : (((isnotnull(d_date#12) AND (d_date#12 >= 2000-02-01)) AND (d_date#12 <= 2000-04-01)) AND isnotnull(d_date_sk#11))

(29) CometProject
Input [2]: [d_date_sk#11, d_date#12]
Arguments: [d_date_sk#11], [d_date_sk#11]

(30) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#11]

(31) BroadcastExchange
Input [1]: [d_date_sk#11]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]


