== Physical Plan ==
* CometColumnarToRow (44)
+- CometTakeOrderedAndProject (43)
   +- CometHashAggregate (42)
      +- CometExchange (41)
         +- CometHashAggregate (40)
            +- CometProject (39)
               +- CometBroadcastHashJoin (38)
                  :- CometProject (33)
                  :  +- CometBroadcastHashJoin (32)
                  :     :- CometProject (27)
                  :     :  +- CometBroadcastHashJoin (26)
                  :     :     :- CometProject (24)
                  :     :     :  +- CometBroadcastHashJoin (23)
                  :     :     :     :- CometProject (18)
                  :     :     :     :  +- CometBroadcastHashJoin (17)
                  :     :     :     :     :- CometProject (12)
                  :     :     :     :     :  +- CometBroadcastHashJoin (11)
                  :     :     :     :     :     :- CometProject (7)
                  :     :     :     :     :     :  +- CometBroadcastHashJoin (6)
                  :     :     :     :     :     :     :- CometFilter (2)
                  :     :     :     :     :     :     :  +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1)
                  :     :     :     :     :     :     +- CometBroadcastExchange (5)
                  :     :     :     :     :     :        +- CometFilter (4)
                  :     :     :     :     :     :           +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (3)
                  :     :     :     :     :     +- CometBroadcastExchange (10)
                  :     :     :     :     :        +- CometFilter (9)
                  :     :     :     :     :           +- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales (8)
                  :     :     :     :     +- CometBroadcastExchange (16)
                  :     :     :     :        +- CometProject (15)
                  :     :     :     :           +- CometFilter (14)
                  :     :     :     :              +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (13)
                  :     :     :     +- CometBroadcastExchange (22)
                  :     :     :        +- CometProject (21)
                  :     :     :           +- CometFilter (20)
                  :     :     :              +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (19)
                  :     :     +- ReusedExchange (25)
                  :     +- CometBroadcastExchange (31)
                  :        +- CometProject (30)
                  :           +- CometFilter (29)
                  :              +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (28)
                  +- CometBroadcastExchange (37)
                     +- CometProject (36)
                        +- CometFilter (35)
                           +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (34)


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

(2) CometFilter
Input [6]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_quantity#5, ss_sold_date_sk#6]
Condition : (((isnotnull(ss_customer_sk#2) AND isnotnull(ss_item_sk#1)) AND isnotnull(ss_ticket_number#4)) AND isnotnull(ss_store_sk#3))

(3) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns
Output [5]: [sr_item_sk#8, sr_customer_sk#9, sr_ticket_number#10, sr_return_quantity#11, sr_returned_date_sk#12]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(sr_returned_date_sk#12), dynamicpruningexpression(sr_returned_date_sk#12 IN dynamicpruning#13)]
PushedFilters: [IsNotNull(sr_customer_sk), IsNotNull(sr_item_sk), IsNotNull(sr_ticket_number)]
ReadSchema: struct<sr_item_sk:int,sr_customer_sk:int,sr_ticket_number:int,sr_return_quantity:int>

(4) CometFilter
Input [5]: [sr_item_sk#8, sr_customer_sk#9, sr_ticket_number#10, sr_return_quantity#11, sr_returned_date_sk#12]
Condition : ((isnotnull(sr_customer_sk#9) AND isnotnull(sr_item_sk#8)) AND isnotnull(sr_ticket_number#10))

(5) CometBroadcastExchange
Input [5]: [sr_item_sk#8, sr_customer_sk#9, sr_ticket_number#10, sr_return_quantity#11, sr_returned_date_sk#12]
Arguments: [sr_item_sk#8, sr_customer_sk#9, sr_ticket_number#10, sr_return_quantity#11, sr_returned_date_sk#12]

(6) CometBroadcastHashJoin
Left output [6]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_quantity#5, ss_sold_date_sk#6]
Right output [5]: [sr_item_sk#8, sr_customer_sk#9, sr_ticket_number#10, sr_return_quantity#11, sr_returned_date_sk#12]
Arguments: [ss_customer_sk#2, ss_item_sk#1, ss_ticket_number#4], [sr_customer_sk#9, sr_item_sk#8, sr_ticket_number#10], Inner, BuildRight

(7) CometProject
Input [11]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_quantity#5, ss_sold_date_sk#6, sr_item_sk#8, sr_customer_sk#9, sr_ticket_number#10, sr_return_quantity#11, sr_returned_date_sk#12]
Arguments: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_item_sk#8, sr_customer_sk#9, sr_return_quantity#11, sr_returned_date_sk#12], [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_item_sk#8, sr_customer_sk#9, sr_return_quantity#11, sr_returned_date_sk#12]

(8) CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales
Output [4]: [cs_bill_customer_sk#14, cs_item_sk#15, cs_quantity#16, cs_sold_date_sk#17]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#17), dynamicpruningexpression(cs_sold_date_sk#17 IN dynamicpruning#18)]
PushedFilters: [IsNotNull(cs_bill_customer_sk), IsNotNull(cs_item_sk)]
ReadSchema: struct<cs_bill_customer_sk:int,cs_item_sk:int,cs_quantity:int>

(9) CometFilter
Input [4]: [cs_bill_customer_sk#14, cs_item_sk#15, cs_quantity#16, cs_sold_date_sk#17]
Condition : (isnotnull(cs_bill_customer_sk#14) AND isnotnull(cs_item_sk#15))

(10) CometBroadcastExchange
Input [4]: [cs_bill_customer_sk#14, cs_item_sk#15, cs_quantity#16, cs_sold_date_sk#17]
Arguments: [cs_bill_customer_sk#14, cs_item_sk#15, cs_quantity#16, cs_sold_date_sk#17]

(11) CometBroadcastHashJoin
Left output [8]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_item_sk#8, sr_customer_sk#9, sr_return_quantity#11, sr_returned_date_sk#12]
Right output [4]: [cs_bill_customer_sk#14, cs_item_sk#15, cs_quantity#16, cs_sold_date_sk#17]
Arguments: [sr_customer_sk#9, sr_item_sk#8], [cs_bill_customer_sk#14, cs_item_sk#15], Inner, BuildRight

(12) CometProject
Input [12]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_item_sk#8, sr_customer_sk#9, sr_return_quantity#11, sr_returned_date_sk#12, cs_bill_customer_sk#14, cs_item_sk#15, cs_quantity#16, cs_sold_date_sk#17]
Arguments: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_return_quantity#11, sr_returned_date_sk#12, cs_quantity#16, cs_sold_date_sk#17], [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_return_quantity#11, sr_returned_date_sk#12, cs_quantity#16, cs_sold_date_sk#17]

(13) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#19, d_quarter_name#20]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_quarter_name:string>

(14) CometFilter
Input [2]: [d_date_sk#19, d_quarter_name#20]
Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, d_quarter_name#20, 6, true, false, true) = 2001Q1) AND isnotnull(d_date_sk#19))

(15) CometProject
Input [2]: [d_date_sk#19, d_quarter_name#20]
Arguments: [d_date_sk#19], [d_date_sk#19]

(16) CometBroadcastExchange
Input [1]: [d_date_sk#19]
Arguments: [d_date_sk#19]

(17) CometBroadcastHashJoin
Left output [8]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_return_quantity#11, sr_returned_date_sk#12, cs_quantity#16, cs_sold_date_sk#17]
Right output [1]: [d_date_sk#19]
Arguments: [ss_sold_date_sk#6], [d_date_sk#19], Inner, BuildRight

(18) CometProject
Input [9]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_return_quantity#11, sr_returned_date_sk#12, cs_quantity#16, cs_sold_date_sk#17, d_date_sk#19]
Arguments: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, sr_returned_date_sk#12, cs_quantity#16, cs_sold_date_sk#17], [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, sr_returned_date_sk#12, cs_quantity#16, cs_sold_date_sk#17]

(19) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#21, d_quarter_name#22]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_quarter_name:string>

(20) CometFilter
Input [2]: [d_date_sk#21, d_quarter_name#22]
Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, d_quarter_name#22, 6, true, false, true) IN (2001Q1,2001Q2,2001Q3) AND isnotnull(d_date_sk#21))

(21) CometProject
Input [2]: [d_date_sk#21, d_quarter_name#22]
Arguments: [d_date_sk#21], [d_date_sk#21]

(22) CometBroadcastExchange
Input [1]: [d_date_sk#21]
Arguments: [d_date_sk#21]

(23) CometBroadcastHashJoin
Left output [7]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, sr_returned_date_sk#12, cs_quantity#16, cs_sold_date_sk#17]
Right output [1]: [d_date_sk#21]
Arguments: [sr_returned_date_sk#12], [d_date_sk#21], Inner, BuildRight

(24) CometProject
Input [8]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, sr_returned_date_sk#12, cs_quantity#16, cs_sold_date_sk#17, d_date_sk#21]
Arguments: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, cs_quantity#16, cs_sold_date_sk#17], [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, cs_quantity#16, cs_sold_date_sk#17]

(25) ReusedExchange [Reuses operator id: 22]
Output [1]: [d_date_sk#23]

(26) CometBroadcastHashJoin
Left output [6]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, cs_quantity#16, cs_sold_date_sk#17]
Right output [1]: [d_date_sk#23]
Arguments: [cs_sold_date_sk#17], [d_date_sk#23], Inner, BuildRight

(27) CometProject
Input [7]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, cs_quantity#16, cs_sold_date_sk#17, d_date_sk#23]
Arguments: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, cs_quantity#16], [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, cs_quantity#16]

(28) CometScan [native_iceberg_compat] parquet spark_catalog.default.store
Output [2]: [s_store_sk#24, s_state#25]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_state:string>

(29) CometFilter
Input [2]: [s_store_sk#24, s_state#25]
Condition : isnotnull(s_store_sk#24)

(30) CometProject
Input [2]: [s_store_sk#24, s_state#25]
Arguments: [s_store_sk#24, s_state#26], [s_store_sk#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#25, 2, true, false, true) AS s_state#26]

(31) CometBroadcastExchange
Input [2]: [s_store_sk#24, s_state#26]
Arguments: [s_store_sk#24, s_state#26]

(32) CometBroadcastHashJoin
Left output [5]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, cs_quantity#16]
Right output [2]: [s_store_sk#24, s_state#26]
Arguments: [ss_store_sk#3], [s_store_sk#24], Inner, BuildRight

(33) CometProject
Input [7]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#11, cs_quantity#16, s_store_sk#24, s_state#26]
Arguments: [ss_item_sk#1, ss_quantity#5, sr_return_quantity#11, cs_quantity#16, s_state#26], [ss_item_sk#1, ss_quantity#5, sr_return_quantity#11, cs_quantity#16, s_state#26]

(34) CometScan [native_iceberg_compat] parquet spark_catalog.default.item
Output [3]: [i_item_sk#27, i_item_id#28, i_item_desc#29]
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,i_item_desc:string>

(35) CometFilter
Input [3]: [i_item_sk#27, i_item_id#28, i_item_desc#29]
Condition : isnotnull(i_item_sk#27)

(36) CometProject
Input [3]: [i_item_sk#27, i_item_id#28, i_item_desc#29]
Arguments: [i_item_sk#27, i_item_id#30, i_item_desc#29], [i_item_sk#27, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_item_id#28, 16, true, false, true) AS i_item_id#30, i_item_desc#29]

(37) CometBroadcastExchange
Input [3]: [i_item_sk#27, i_item_id#30, i_item_desc#29]
Arguments: [i_item_sk#27, i_item_id#30, i_item_desc#29]

(38) CometBroadcastHashJoin
Left output [5]: [ss_item_sk#1, ss_quantity#5, sr_return_quantity#11, cs_quantity#16, s_state#26]
Right output [3]: [i_item_sk#27, i_item_id#30, i_item_desc#29]
Arguments: [ss_item_sk#1], [i_item_sk#27], Inner, BuildRight

(39) CometProject
Input [8]: [ss_item_sk#1, ss_quantity#5, sr_return_quantity#11, cs_quantity#16, s_state#26, i_item_sk#27, i_item_id#30, i_item_desc#29]
Arguments: [ss_quantity#5, sr_return_quantity#11, cs_quantity#16, s_state#26, i_item_id#30, i_item_desc#29], [ss_quantity#5, sr_return_quantity#11, cs_quantity#16, s_state#26, i_item_id#30, i_item_desc#29]

(40) CometHashAggregate
Input [6]: [ss_quantity#5, sr_return_quantity#11, cs_quantity#16, s_state#26, i_item_id#30, i_item_desc#29]
Keys [3]: [i_item_id#30, i_item_desc#29, s_state#26]
Functions [9]: [partial_count(ss_quantity#5), partial_avg(ss_quantity#5), partial_stddev_samp(cast(ss_quantity#5 as double)), partial_count(sr_return_quantity#11), partial_avg(sr_return_quantity#11), partial_stddev_samp(cast(sr_return_quantity#11 as double)), partial_count(cs_quantity#16), partial_avg(cs_quantity#16), partial_stddev_samp(cast(cs_quantity#16 as double))]

(41) CometExchange
Input [21]: [i_item_id#30, i_item_desc#29, s_state#26, count#31, sum#32, count#33, n#34, avg#35, m2#36, count#37, sum#38, count#39, n#40, avg#41, m2#42, count#43, sum#44, count#45, n#46, avg#47, m2#48]
Arguments: hashpartitioning(i_item_id#30, i_item_desc#29, s_state#26, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(42) CometHashAggregate
Input [21]: [i_item_id#30, i_item_desc#29, s_state#26, count#31, sum#32, count#33, n#34, avg#35, m2#36, count#37, sum#38, count#39, n#40, avg#41, m2#42, count#43, sum#44, count#45, n#46, avg#47, m2#48]
Keys [3]: [i_item_id#30, i_item_desc#29, s_state#26]
Functions [9]: [count(ss_quantity#5), avg(ss_quantity#5), stddev_samp(cast(ss_quantity#5 as double)), count(sr_return_quantity#11), avg(sr_return_quantity#11), stddev_samp(cast(sr_return_quantity#11 as double)), count(cs_quantity#16), avg(cs_quantity#16), stddev_samp(cast(cs_quantity#16 as double))]

(43) CometTakeOrderedAndProject
Input [15]: [i_item_id#30, i_item_desc#29, s_state#26, store_sales_quantitycount#49, store_sales_quantityave#50, store_sales_quantitystdev#51, store_sales_quantitycov#52, as_store_returns_quantitycount#53, as_store_returns_quantityave#54, as_store_returns_quantitystdev#55, store_returns_quantitycov#56, catalog_sales_quantitycount#57, catalog_sales_quantityave#58, catalog_sales_quantitystdev#59, catalog_sales_quantitycov#60]
Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#30 ASC NULLS FIRST,i_item_desc#29 ASC NULLS FIRST,s_state#26 ASC NULLS FIRST], output=[i_item_id#30,i_item_desc#29,s_state#26,store_sales_quantitycount#49,store_sales_quantityave#50,store_sales_quantitystdev#51,store_sales_quantitycov#52,as_store_returns_quantitycount#53,as_store_returns_quantityave#54,as_store_returns_quantitystdev#55,store_returns_quantitycov#56,catalog_sales_quantitycount#57,catalog_sales_quantityave#58,catalog_sales_quantitystdev#59,catalog_sales_quantitycov#60]), [i_item_id#30, i_item_desc#29, s_state#26, store_sales_quantitycount#49, store_sales_quantityave#50, store_sales_quantitystdev#51, store_sales_quantitycov#52, as_store_returns_quantitycount#53, as_store_returns_quantityave#54, as_store_returns_quantitystdev#55, store_returns_quantitycov#56, catalog_sales_quantitycount#57, catalog_sales_quantityave#58, catalog_sales_quantitystdev#59, catalog_sales_quantitycov#60], 100, 0, [i_item_id#30 ASC NULLS FIRST, i_item_desc#29 ASC NULLS FIRST, s_state#26 ASC NULLS FIRST], [i_item_id#30, i_item_desc#29, s_state#26, store_sales_quantitycount#49, store_sales_quantityave#50, store_sales_quantitystdev#51, store_sales_quantitycov#52, as_store_returns_quantitycount#53, as_store_returns_quantityave#54, as_store_returns_quantitystdev#55, store_returns_quantitycov#56, catalog_sales_quantitycount#57, catalog_sales_quantityave#58, catalog_sales_quantitystdev#59, catalog_sales_quantitycov#60]

(44) CometColumnarToRow [codegen id : 1]
Input [15]: [i_item_id#30, i_item_desc#29, s_state#26, store_sales_quantitycount#49, store_sales_quantityave#50, store_sales_quantitystdev#51, store_sales_quantitycov#52, as_store_returns_quantitycount#53, as_store_returns_quantityave#54, as_store_returns_quantitystdev#55, store_returns_quantitycov#56, catalog_sales_quantitycount#57, catalog_sales_quantityave#58, catalog_sales_quantitystdev#59, catalog_sales_quantitycov#60]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#6 IN dynamicpruning#7
BroadcastExchange (49)
+- * CometColumnarToRow (48)
   +- CometProject (47)
      +- CometFilter (46)
         +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (45)


(45) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#19, d_quarter_name#20]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_quarter_name:string>

(46) CometFilter
Input [2]: [d_date_sk#19, d_quarter_name#20]
Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, d_quarter_name#20, 6, true, false, true) = 2001Q1) AND isnotnull(d_date_sk#19))

(47) CometProject
Input [2]: [d_date_sk#19, d_quarter_name#20]
Arguments: [d_date_sk#19], [d_date_sk#19]

(48) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#19]

(49) BroadcastExchange
Input [1]: [d_date_sk#19]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]

Subquery:2 Hosting operator id = 3 Hosting Expression = sr_returned_date_sk#12 IN dynamicpruning#13
BroadcastExchange (54)
+- * CometColumnarToRow (53)
   +- CometProject (52)
      +- CometFilter (51)
         +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (50)


(50) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#21, d_quarter_name#22]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_quarter_name:string>

(51) CometFilter
Input [2]: [d_date_sk#21, d_quarter_name#22]
Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, d_quarter_name#22, 6, true, false, true) IN (2001Q1,2001Q2,2001Q3) AND isnotnull(d_date_sk#21))

(52) CometProject
Input [2]: [d_date_sk#21, d_quarter_name#22]
Arguments: [d_date_sk#21], [d_date_sk#21]

(53) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#21]

(54) BroadcastExchange
Input [1]: [d_date_sk#21]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]

Subquery:3 Hosting operator id = 8 Hosting Expression = cs_sold_date_sk#17 IN dynamicpruning#13


