== Physical Plan ==
* HashAggregate (27)
+- * ColumnarToRow (26)
   +- CometColumnarExchange (25)
      +- RowToColumnar (24)
         +- * HashAggregate (23)
            +- * ColumnarToRow (22)
               +- CometProject (21)
                  +- CometSortMergeJoin (20)
                     :- CometSort (11)
                     :  +- CometHashAggregate (10)
                     :     +- CometColumnarExchange (9)
                     :        +- CometHashAggregate (8)
                     :           +- CometProject (7)
                     :              +- CometBroadcastHashJoin (6)
                     :                 :- CometScan parquet spark_catalog.default.store_sales (1)
                     :                 +- CometBroadcastExchange (5)
                     :                    +- CometProject (4)
                     :                       +- CometFilter (3)
                     :                          +- CometScan parquet spark_catalog.default.date_dim (2)
                     +- CometSort (19)
                        +- CometHashAggregate (18)
                           +- CometColumnarExchange (17)
                              +- CometHashAggregate (16)
                                 +- CometProject (15)
                                    +- CometBroadcastHashJoin (14)
                                       :- CometScan parquet spark_catalog.default.catalog_sales (12)
                                       +- ReusedExchange (13)


(1) Scan parquet spark_catalog.default.store_sales
Output [3]: [ss_item_sk#1, ss_customer_sk#2, ss_sold_date_sk#3]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#3), dynamicpruningexpression(ss_sold_date_sk#3 IN dynamicpruning#4)]
ReadSchema: struct<ss_item_sk:int,ss_customer_sk:int>

(2) Scan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#5, d_month_seq#6]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_month_seq:int>

(3) CometFilter
Input [2]: [d_date_sk#5, d_month_seq#6]
Condition : (((isnotnull(d_month_seq#6) AND (d_month_seq#6 >= 1200)) AND (d_month_seq#6 <= 1211)) AND isnotnull(d_date_sk#5))

(4) CometProject
Input [2]: [d_date_sk#5, d_month_seq#6]
Arguments: [d_date_sk#5], [d_date_sk#5]

(5) CometBroadcastExchange
Input [1]: [d_date_sk#5]
Arguments: [d_date_sk#5]

(6) CometBroadcastHashJoin
Left output [3]: [ss_item_sk#1, ss_customer_sk#2, ss_sold_date_sk#3]
Right output [1]: [d_date_sk#5]
Arguments: [ss_sold_date_sk#3], [d_date_sk#5], Inner, BuildRight

(7) CometProject
Input [4]: [ss_item_sk#1, ss_customer_sk#2, ss_sold_date_sk#3, d_date_sk#5]
Arguments: [ss_item_sk#1, ss_customer_sk#2], [ss_item_sk#1, ss_customer_sk#2]

(8) CometHashAggregate
Input [2]: [ss_item_sk#1, ss_customer_sk#2]
Keys [2]: [ss_customer_sk#2, ss_item_sk#1]
Functions: []

(9) CometColumnarExchange
Input [2]: [ss_customer_sk#2, ss_item_sk#1]
Arguments: hashpartitioning(ss_customer_sk#2, ss_item_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=1]

(10) CometHashAggregate
Input [2]: [ss_customer_sk#2, ss_item_sk#1]
Keys [2]: [ss_customer_sk#2, ss_item_sk#1]
Functions: []

(11) CometSort
Input [2]: [customer_sk#7, item_sk#8]
Arguments: [customer_sk#7, item_sk#8], [customer_sk#7 ASC NULLS FIRST, item_sk#8 ASC NULLS FIRST]

(12) Scan parquet spark_catalog.default.catalog_sales
Output [3]: [cs_bill_customer_sk#9, cs_item_sk#10, cs_sold_date_sk#11]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#11), dynamicpruningexpression(cs_sold_date_sk#11 IN dynamicpruning#12)]
ReadSchema: struct<cs_bill_customer_sk:int,cs_item_sk:int>

(13) ReusedExchange [Reuses operator id: 5]
Output [1]: [d_date_sk#13]

(14) CometBroadcastHashJoin
Left output [3]: [cs_bill_customer_sk#9, cs_item_sk#10, cs_sold_date_sk#11]
Right output [1]: [d_date_sk#13]
Arguments: [cs_sold_date_sk#11], [d_date_sk#13], Inner, BuildRight

(15) CometProject
Input [4]: [cs_bill_customer_sk#9, cs_item_sk#10, cs_sold_date_sk#11, d_date_sk#13]
Arguments: [cs_bill_customer_sk#9, cs_item_sk#10], [cs_bill_customer_sk#9, cs_item_sk#10]

(16) CometHashAggregate
Input [2]: [cs_bill_customer_sk#9, cs_item_sk#10]
Keys [2]: [cs_bill_customer_sk#9, cs_item_sk#10]
Functions: []

(17) CometColumnarExchange
Input [2]: [cs_bill_customer_sk#9, cs_item_sk#10]
Arguments: hashpartitioning(cs_bill_customer_sk#9, cs_item_sk#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2]

(18) CometHashAggregate
Input [2]: [cs_bill_customer_sk#9, cs_item_sk#10]
Keys [2]: [cs_bill_customer_sk#9, cs_item_sk#10]
Functions: []

(19) CometSort
Input [2]: [customer_sk#14, item_sk#15]
Arguments: [customer_sk#14, item_sk#15], [customer_sk#14 ASC NULLS FIRST, item_sk#15 ASC NULLS FIRST]

(20) CometSortMergeJoin
Left output [2]: [customer_sk#7, item_sk#8]
Right output [2]: [customer_sk#14, item_sk#15]
Arguments: [customer_sk#7, item_sk#8], [customer_sk#14, item_sk#15], FullOuter

(21) CometProject
Input [4]: [customer_sk#7, item_sk#8, customer_sk#14, item_sk#15]
Arguments: [customer_sk#7, customer_sk#14], [customer_sk#7, customer_sk#14]

(22) ColumnarToRow [codegen id : 1]
Input [2]: [customer_sk#7, customer_sk#14]

(23) HashAggregate [codegen id : 1]
Input [2]: [customer_sk#7, customer_sk#14]
Keys: []
Functions [3]: [partial_sum(CASE WHEN (isnotnull(customer_sk#7) AND isnull(customer_sk#14)) THEN 1 ELSE 0 END), partial_sum(CASE WHEN (isnull(customer_sk#7) AND isnotnull(customer_sk#14)) THEN 1 ELSE 0 END), partial_sum(CASE WHEN (isnotnull(customer_sk#7) AND isnotnull(customer_sk#14)) THEN 1 ELSE 0 END)]
Aggregate Attributes [3]: [sum#16, sum#17, sum#18]
Results [3]: [sum#19, sum#20, sum#21]

(24) RowToColumnar
Input [3]: [sum#19, sum#20, sum#21]

(25) CometColumnarExchange
Input [3]: [sum#19, sum#20, sum#21]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3]

(26) ColumnarToRow [codegen id : 2]
Input [3]: [sum#19, sum#20, sum#21]

(27) HashAggregate [codegen id : 2]
Input [3]: [sum#19, sum#20, sum#21]
Keys: []
Functions [3]: [sum(CASE WHEN (isnotnull(customer_sk#7) AND isnull(customer_sk#14)) THEN 1 ELSE 0 END), sum(CASE WHEN (isnull(customer_sk#7) AND isnotnull(customer_sk#14)) THEN 1 ELSE 0 END), sum(CASE WHEN (isnotnull(customer_sk#7) AND isnotnull(customer_sk#14)) THEN 1 ELSE 0 END)]
Aggregate Attributes [3]: [sum(CASE WHEN (isnotnull(customer_sk#7) AND isnull(customer_sk#14)) THEN 1 ELSE 0 END)#22, sum(CASE WHEN (isnull(customer_sk#7) AND isnotnull(customer_sk#14)) THEN 1 ELSE 0 END)#23, sum(CASE WHEN (isnotnull(customer_sk#7) AND isnotnull(customer_sk#14)) THEN 1 ELSE 0 END)#24]
Results [3]: [sum(CASE WHEN (isnotnull(customer_sk#7) AND isnull(customer_sk#14)) THEN 1 ELSE 0 END)#22 AS store_only#25, sum(CASE WHEN (isnull(customer_sk#7) AND isnotnull(customer_sk#14)) THEN 1 ELSE 0 END)#23 AS catalog_only#26, sum(CASE WHEN (isnotnull(customer_sk#7) AND isnotnull(customer_sk#14)) THEN 1 ELSE 0 END)#24 AS store_and_catalog#27]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4
BroadcastExchange (32)
+- * ColumnarToRow (31)
   +- CometProject (30)
      +- CometFilter (29)
         +- CometScan parquet spark_catalog.default.date_dim (28)


(28) Scan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#5, d_month_seq#6]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_month_seq:int>

(29) CometFilter
Input [2]: [d_date_sk#5, d_month_seq#6]
Condition : (((isnotnull(d_month_seq#6) AND (d_month_seq#6 >= 1200)) AND (d_month_seq#6 <= 1211)) AND isnotnull(d_date_sk#5))

(30) CometProject
Input [2]: [d_date_sk#5, d_month_seq#6]
Arguments: [d_date_sk#5], [d_date_sk#5]

(31) ColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#5]

(32) BroadcastExchange
Input [1]: [d_date_sk#5]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4]

Subquery:2 Hosting operator id = 12 Hosting Expression = cs_sold_date_sk#11 IN dynamicpruning#4


