== Physical Plan ==
TakeOrderedAndProject (33)
+- * HashAggregate (32)
   +- * CometColumnarToRow (31)
      +- CometColumnarExchange (30)
         +- * HashAggregate (29)
            +- * CometColumnarToRow (28)
               +- CometExpand (27)
                  +- CometProject (26)
                     +- CometBroadcastHashJoin (25)
                        :- CometProject (20)
                        :  +- CometBroadcastHashJoin (19)
                        :     :- CometProject (14)
                        :     :  +- CometBroadcastHashJoin (13)
                        :     :     :- CometProject (8)
                        :     :     :  +- CometBroadcastHashJoin (7)
                        :     :     :     :- CometFilter (2)
                        :     :     :     :  +- CometScan parquet spark_catalog.default.store_sales (1)
                        :     :     :     +- CometBroadcastExchange (6)
                        :     :     :        +- CometProject (5)
                        :     :     :           +- CometFilter (4)
                        :     :     :              +- CometScan parquet spark_catalog.default.customer_demographics (3)
                        :     :     +- CometBroadcastExchange (12)
                        :     :        +- CometProject (11)
                        :     :           +- CometFilter (10)
                        :     :              +- CometScan parquet spark_catalog.default.date_dim (9)
                        :     +- CometBroadcastExchange (18)
                        :        +- CometProject (17)
                        :           +- CometFilter (16)
                        :              +- CometScan parquet spark_catalog.default.store (15)
                        +- CometBroadcastExchange (24)
                           +- CometProject (23)
                              +- CometFilter (22)
                                 +- CometScan parquet spark_catalog.default.item (21)


(1) CometScan parquet spark_catalog.default.store_sales
Output [8]: [ss_item_sk#1, ss_cdemo_sk#2, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, ss_sold_date_sk#8]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#8), dynamicpruningexpression(ss_sold_date_sk#8 IN dynamicpruning#9)]
PushedFilters: [IsNotNull(ss_cdemo_sk), IsNotNull(ss_store_sk), IsNotNull(ss_item_sk)]
ReadSchema: struct<ss_item_sk:int,ss_cdemo_sk:int,ss_store_sk:int,ss_quantity:int,ss_list_price:decimal(7,2),ss_sales_price:decimal(7,2),ss_coupon_amt:decimal(7,2)>

(2) CometFilter
Input [8]: [ss_item_sk#1, ss_cdemo_sk#2, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, ss_sold_date_sk#8]
Condition : ((isnotnull(ss_cdemo_sk#2) AND isnotnull(ss_store_sk#3)) AND isnotnull(ss_item_sk#1))

(3) CometScan parquet spark_catalog.default.customer_demographics
Output [4]: [cd_demo_sk#10, cd_gender#11, cd_marital_status#12, cd_education_status#13]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_demographics]
PushedFilters: [IsNotNull(cd_demo_sk)]
ReadSchema: struct<cd_demo_sk:int,cd_gender:string,cd_marital_status:string,cd_education_status:string>

(4) CometFilter
Input [4]: [cd_demo_sk#10, cd_gender#11, cd_marital_status#12, cd_education_status#13]
Condition : ((((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, cd_gender#11, 1, true, false, true) = M) AND (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, cd_marital_status#12, 1, true, false, true) = S)) AND (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, cd_education_status#13, 20, true, false, true) = College             )) AND isnotnull(cd_demo_sk#10))

(5) CometProject
Input [4]: [cd_demo_sk#10, cd_gender#11, cd_marital_status#12, cd_education_status#13]
Arguments: [cd_demo_sk#10], [cd_demo_sk#10]

(6) CometBroadcastExchange
Input [1]: [cd_demo_sk#10]
Arguments: [cd_demo_sk#10]

(7) CometBroadcastHashJoin
Left output [8]: [ss_item_sk#1, ss_cdemo_sk#2, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, ss_sold_date_sk#8]
Right output [1]: [cd_demo_sk#10]
Arguments: [ss_cdemo_sk#2], [cd_demo_sk#10], Inner, BuildRight

(8) CometProject
Input [9]: [ss_item_sk#1, ss_cdemo_sk#2, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, ss_sold_date_sk#8, cd_demo_sk#10]
Arguments: [ss_item_sk#1, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, ss_sold_date_sk#8], [ss_item_sk#1, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, ss_sold_date_sk#8]

(9) CometScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#14, d_year#15]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(10) CometFilter
Input [2]: [d_date_sk#14, d_year#15]
Condition : ((isnotnull(d_year#15) AND (d_year#15 = 2002)) AND isnotnull(d_date_sk#14))

(11) CometProject
Input [2]: [d_date_sk#14, d_year#15]
Arguments: [d_date_sk#14], [d_date_sk#14]

(12) CometBroadcastExchange
Input [1]: [d_date_sk#14]
Arguments: [d_date_sk#14]

(13) CometBroadcastHashJoin
Left output [7]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, ss_sold_date_sk#8]
Right output [1]: [d_date_sk#14]
Arguments: [ss_sold_date_sk#8], [d_date_sk#14], Inner, BuildRight

(14) CometProject
Input [8]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, ss_sold_date_sk#8, d_date_sk#14]
Arguments: [ss_item_sk#1, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7], [ss_item_sk#1, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7]

(15) CometScan parquet spark_catalog.default.store
Output [2]: [s_store_sk#16, s_state#17]
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#16, s_state#17]
Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#17, 2, true, false, true) = TN) AND isnotnull(s_store_sk#16))

(17) CometProject
Input [2]: [s_store_sk#16, s_state#17]
Arguments: [s_store_sk#16, s_state#18], [s_store_sk#16, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#17, 2, true, false, true) AS s_state#18]

(18) CometBroadcastExchange
Input [2]: [s_store_sk#16, s_state#18]
Arguments: [s_store_sk#16, s_state#18]

(19) CometBroadcastHashJoin
Left output [6]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7]
Right output [2]: [s_store_sk#16, s_state#18]
Arguments: [ss_store_sk#3], [s_store_sk#16], Inner, BuildRight

(20) CometProject
Input [8]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, s_store_sk#16, s_state#18]
Arguments: [ss_item_sk#1, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, s_state#18], [ss_item_sk#1, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, s_state#18]

(21) CometScan parquet spark_catalog.default.item
Output [2]: [i_item_sk#19, i_item_id#20]
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>

(22) CometFilter
Input [2]: [i_item_sk#19, i_item_id#20]
Condition : isnotnull(i_item_sk#19)

(23) CometProject
Input [2]: [i_item_sk#19, i_item_id#20]
Arguments: [i_item_sk#19, i_item_id#21], [i_item_sk#19, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_item_id#20, 16, true, false, true) AS i_item_id#21]

(24) CometBroadcastExchange
Input [2]: [i_item_sk#19, i_item_id#21]
Arguments: [i_item_sk#19, i_item_id#21]

(25) CometBroadcastHashJoin
Left output [6]: [ss_item_sk#1, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, s_state#18]
Right output [2]: [i_item_sk#19, i_item_id#21]
Arguments: [ss_item_sk#1], [i_item_sk#19], Inner, BuildRight

(26) CometProject
Input [8]: [ss_item_sk#1, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, s_state#18, i_item_sk#19, i_item_id#21]
Arguments: [ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, i_item_id#21, s_state#18], [ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, i_item_id#21, s_state#18]

(27) CometExpand
Input [6]: [ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, i_item_id#21, s_state#18]
Arguments: [[ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, i_item_id#21, s_state#18, 0], [ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, i_item_id#21, null, 1], [ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, null, null, 3]], [ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, i_item_id#22, s_state#23, spark_grouping_id#24]

(28) CometColumnarToRow [codegen id : 1]
Input [7]: [ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, i_item_id#22, s_state#23, spark_grouping_id#24]

(29) HashAggregate [codegen id : 1]
Input [7]: [ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, i_item_id#22, s_state#23, spark_grouping_id#24]
Keys [3]: [i_item_id#22, s_state#23, spark_grouping_id#24]
Functions [4]: [partial_avg(ss_quantity#4), partial_avg(UnscaledValue(ss_list_price#5)), partial_avg(UnscaledValue(ss_coupon_amt#7)), partial_avg(UnscaledValue(ss_sales_price#6))]
Aggregate Attributes [8]: [sum#25, count#26, sum#27, count#28, sum#29, count#30, sum#31, count#32]
Results [11]: [i_item_id#22, s_state#23, spark_grouping_id#24, sum#33, count#34, sum#35, count#36, sum#37, count#38, sum#39, count#40]

(30) CometColumnarExchange
Input [11]: [i_item_id#22, s_state#23, spark_grouping_id#24, sum#33, count#34, sum#35, count#36, sum#37, count#38, sum#39, count#40]
Arguments: hashpartitioning(i_item_id#22, s_state#23, spark_grouping_id#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=1]

(31) CometColumnarToRow [codegen id : 2]
Input [11]: [i_item_id#22, s_state#23, spark_grouping_id#24, sum#33, count#34, sum#35, count#36, sum#37, count#38, sum#39, count#40]

(32) HashAggregate [codegen id : 2]
Input [11]: [i_item_id#22, s_state#23, spark_grouping_id#24, sum#33, count#34, sum#35, count#36, sum#37, count#38, sum#39, count#40]
Keys [3]: [i_item_id#22, s_state#23, spark_grouping_id#24]
Functions [4]: [avg(ss_quantity#4), avg(UnscaledValue(ss_list_price#5)), avg(UnscaledValue(ss_coupon_amt#7)), avg(UnscaledValue(ss_sales_price#6))]
Aggregate Attributes [4]: [avg(ss_quantity#4)#41, avg(UnscaledValue(ss_list_price#5))#42, avg(UnscaledValue(ss_coupon_amt#7))#43, avg(UnscaledValue(ss_sales_price#6))#44]
Results [7]: [i_item_id#22, s_state#23, cast((shiftright(spark_grouping_id#24, 0) & 1) as tinyint) AS g_state#45, avg(ss_quantity#4)#41 AS agg1#46, cast((avg(UnscaledValue(ss_list_price#5))#42 / 100.0) as decimal(11,6)) AS agg2#47, cast((avg(UnscaledValue(ss_coupon_amt#7))#43 / 100.0) as decimal(11,6)) AS agg3#48, cast((avg(UnscaledValue(ss_sales_price#6))#44 / 100.0) as decimal(11,6)) AS agg4#49]

(33) TakeOrderedAndProject
Input [7]: [i_item_id#22, s_state#23, g_state#45, agg1#46, agg2#47, agg3#48, agg4#49]
Arguments: 100, [i_item_id#22 ASC NULLS FIRST, s_state#23 ASC NULLS FIRST], [i_item_id#22, s_state#23, g_state#45, agg1#46, agg2#47, agg3#48, agg4#49]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#8 IN dynamicpruning#9
BroadcastExchange (38)
+- * CometColumnarToRow (37)
   +- CometProject (36)
      +- CometFilter (35)
         +- CometScan parquet spark_catalog.default.date_dim (34)


(34) CometScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#14, d_year#15]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(35) CometFilter
Input [2]: [d_date_sk#14, d_year#15]
Condition : ((isnotnull(d_year#15) AND (d_year#15 = 2002)) AND isnotnull(d_date_sk#14))

(36) CometProject
Input [2]: [d_date_sk#14, d_year#15]
Arguments: [d_date_sk#14], [d_date_sk#14]

(37) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#14]

(38) BroadcastExchange
Input [1]: [d_date_sk#14]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]


