== Physical Plan ==
CollectLimit (27)
+- * Project (26)
   +- * BroadcastHashJoin Inner BuildRight (25)
      :- * Project (23)
      :  +- * BroadcastHashJoin Inner BuildLeft (22)
      :     :- BroadcastExchange (18)
      :     :  +- * Project (17)
      :     :     +- * BroadcastHashJoin Inner BuildLeft (16)
      :     :        :- BroadcastExchange (5)
      :     :        :  +- * Project (4)
      :     :        :     +- * Filter (3)
      :     :        :        +- * ColumnarToRow (2)
      :     :        :           +- Scan parquet default.item (1)
      :     :        +- * Filter (15)
      :     :           +- * HashAggregate (14)
      :     :              +- Exchange (13)
      :     :                 +- * HashAggregate (12)
      :     :                    +- * Project (11)
      :     :                       +- * BroadcastHashJoin Inner BuildRight (10)
      :     :                          :- * Filter (8)
      :     :                          :  +- * ColumnarToRow (7)
      :     :                          :     +- Scan parquet default.catalog_sales (6)
      :     :                          +- ReusedExchange (9)
      :     +- * Filter (21)
      :        +- * ColumnarToRow (20)
      :           +- Scan parquet default.catalog_sales (19)
      +- ReusedExchange (24)


(1) Scan parquet default.item
Output [2]: [i_item_sk#1, i_manufact_id#2]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_manufact_id), EqualTo(i_manufact_id,977), IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_manufact_id:int>

(2) ColumnarToRow [codegen id : 1]
Input [2]: [i_item_sk#1, i_manufact_id#2]

(3) Filter [codegen id : 1]
Input [2]: [i_item_sk#1, i_manufact_id#2]
Condition : ((isnotnull(i_manufact_id#2) AND (i_manufact_id#2 = 977)) AND isnotnull(i_item_sk#1))

(4) Project [codegen id : 1]
Output [1]: [i_item_sk#1]
Input [2]: [i_item_sk#1, i_manufact_id#2]

(5) BroadcastExchange
Input [1]: [i_item_sk#1]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#3]

(6) Scan parquet default.catalog_sales
Output [3]: [cs_item_sk#4, cs_ext_discount_amt#5, cs_sold_date_sk#6]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#6), dynamicpruningexpression(cs_sold_date_sk#6 IN dynamicpruning#7)]
PushedFilters: [IsNotNull(cs_item_sk)]
ReadSchema: struct<cs_item_sk:int,cs_ext_discount_amt:decimal(7,2)>

(7) ColumnarToRow [codegen id : 3]
Input [3]: [cs_item_sk#4, cs_ext_discount_amt#5, cs_sold_date_sk#6]

(8) Filter [codegen id : 3]
Input [3]: [cs_item_sk#4, cs_ext_discount_amt#5, cs_sold_date_sk#6]
Condition : isnotnull(cs_item_sk#4)

(9) ReusedExchange [Reuses operator id: 32]
Output [1]: [d_date_sk#8]

(10) BroadcastHashJoin [codegen id : 3]
Left keys [1]: [cs_sold_date_sk#6]
Right keys [1]: [d_date_sk#8]
Join condition: None

(11) Project [codegen id : 3]
Output [2]: [cs_item_sk#4, cs_ext_discount_amt#5]
Input [4]: [cs_item_sk#4, cs_ext_discount_amt#5, cs_sold_date_sk#6, d_date_sk#8]

(12) HashAggregate [codegen id : 3]
Input [2]: [cs_item_sk#4, cs_ext_discount_amt#5]
Keys [1]: [cs_item_sk#4]
Functions [1]: [partial_avg(UnscaledValue(cs_ext_discount_amt#5))]
Aggregate Attributes [2]: [sum#9, count#10]
Results [3]: [cs_item_sk#4, sum#11, count#12]

(13) Exchange
Input [3]: [cs_item_sk#4, sum#11, count#12]
Arguments: hashpartitioning(cs_item_sk#4, 5), ENSURE_REQUIREMENTS, [id=#13]

(14) HashAggregate
Input [3]: [cs_item_sk#4, sum#11, count#12]
Keys [1]: [cs_item_sk#4]
Functions [1]: [avg(UnscaledValue(cs_ext_discount_amt#5))]
Aggregate Attributes [1]: [avg(UnscaledValue(cs_ext_discount_amt#5))#14]
Results [2]: [CheckOverflow((1.300000 * promote_precision(cast((avg(UnscaledValue(cs_ext_discount_amt#5))#14 / 100.0) as decimal(11,6)))), DecimalType(14,7), true) AS (1.3 * avg(cs_ext_discount_amt))#15, cs_item_sk#4]

(15) Filter
Input [2]: [(1.3 * avg(cs_ext_discount_amt))#15, cs_item_sk#4]
Condition : isnotnull((1.3 * avg(cs_ext_discount_amt))#15)

(16) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [i_item_sk#1]
Right keys [1]: [cs_item_sk#4]
Join condition: None

(17) Project [codegen id : 4]
Output [2]: [i_item_sk#1, (1.3 * avg(cs_ext_discount_amt))#15]
Input [3]: [i_item_sk#1, (1.3 * avg(cs_ext_discount_amt))#15, cs_item_sk#4]

(18) BroadcastExchange
Input [2]: [i_item_sk#1, (1.3 * avg(cs_ext_discount_amt))#15]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#16]

(19) Scan parquet default.catalog_sales
Output [3]: [cs_item_sk#17, cs_ext_discount_amt#18, cs_sold_date_sk#19]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#19), dynamicpruningexpression(cs_sold_date_sk#19 IN dynamicpruning#7)]
PushedFilters: [IsNotNull(cs_item_sk), IsNotNull(cs_ext_discount_amt)]
ReadSchema: struct<cs_item_sk:int,cs_ext_discount_amt:decimal(7,2)>

(20) ColumnarToRow
Input [3]: [cs_item_sk#17, cs_ext_discount_amt#18, cs_sold_date_sk#19]

(21) Filter
Input [3]: [cs_item_sk#17, cs_ext_discount_amt#18, cs_sold_date_sk#19]
Condition : (isnotnull(cs_item_sk#17) AND isnotnull(cs_ext_discount_amt#18))

(22) BroadcastHashJoin [codegen id : 6]
Left keys [1]: [i_item_sk#1]
Right keys [1]: [cs_item_sk#17]
Join condition: (cast(cs_ext_discount_amt#18 as decimal(14,7)) > (1.3 * avg(cs_ext_discount_amt))#15)

(23) Project [codegen id : 6]
Output [1]: [cs_sold_date_sk#19]
Input [5]: [i_item_sk#1, (1.3 * avg(cs_ext_discount_amt))#15, cs_item_sk#17, cs_ext_discount_amt#18, cs_sold_date_sk#19]

(24) ReusedExchange [Reuses operator id: 32]
Output [1]: [d_date_sk#20]

(25) BroadcastHashJoin [codegen id : 6]
Left keys [1]: [cs_sold_date_sk#19]
Right keys [1]: [d_date_sk#20]
Join condition: None

(26) Project [codegen id : 6]
Output [1]: [1 AS excess discount amount #21]
Input [2]: [cs_sold_date_sk#19, d_date_sk#20]

(27) CollectLimit
Input [1]: [excess discount amount #21]
Arguments: 100

===== Subqueries =====

Subquery:1 Hosting operator id = 6 Hosting Expression = cs_sold_date_sk#6 IN dynamicpruning#7
BroadcastExchange (32)
+- * Project (31)
   +- * Filter (30)
      +- * ColumnarToRow (29)
         +- Scan parquet default.date_dim (28)


(28) Scan parquet default.date_dim
Output [2]: [d_date_sk#8, d_date#22]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-01-27), LessThanOrEqual(d_date,2000-04-26), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(29) ColumnarToRow [codegen id : 1]
Input [2]: [d_date_sk#8, d_date#22]

(30) Filter [codegen id : 1]
Input [2]: [d_date_sk#8, d_date#22]
Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 2000-01-27)) AND (d_date#22 <= 2000-04-26)) AND isnotnull(d_date_sk#8))

(31) Project [codegen id : 1]
Output [1]: [d_date_sk#8]
Input [2]: [d_date_sk#8, d_date#22]

(32) BroadcastExchange
Input [1]: [d_date_sk#8]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#23]

Subquery:2 Hosting operator id = 19 Hosting Expression = cs_sold_date_sk#19 IN dynamicpruning#7


