== Physical Plan ==
VeloxColumnarToRow (61)
+- TakeOrderedAndProjectExecTransformer (60)
   +- ^ ProjectExecTransformer (58)
      +- ^ RegularHashAggregateExecTransformer (57)
         +- ^ InputIteratorTransformer (56)
            +- ColumnarExchange (54)
               +- VeloxResizeBatches (53)
                  +- ^ ProjectExecTransformer (51)
                     +- ^ FlushableHashAggregateExecTransformer (50)
                        +- ^ ProjectExecTransformer (49)
                           +- ^ InputIteratorTransformer (48)
                              +- ColumnarUnion (46)
                                 :- ^ ProjectExecTransformer (18)
                                 :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (17)
                                 :     :- ^ ProjectExecTransformer (10)
                                 :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (9)
                                 :     :     :- ^ FilterExecTransformer (2)
                                 :     :     :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store_sales (1)
                                 :     :     +- ^ InputIteratorTransformer (8)
                                 :     :        +- ColumnarBroadcastExchange (6)
                                 :     :           +- ^ FilterExecTransformer (4)
                                 :     :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (3)
                                 :     +- ^ InputIteratorTransformer (16)
                                 :        +- ColumnarBroadcastExchange (14)
                                 :           +- ^ FilterExecTransformer (12)
                                 :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (11)
                                 :- ^ ProjectExecTransformer (31)
                                 :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (30)
                                 :     :- ^ ProjectExecTransformer (26)
                                 :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (25)
                                 :     :     :- ^ FilterExecTransformer (21)
                                 :     :     :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.web_sales (20)
                                 :     :     +- ^ InputIteratorTransformer (24)
                                 :     :        +- ReusedExchange (22)
                                 :     +- ^ InputIteratorTransformer (29)
                                 :        +- ReusedExchange (27)
                                 +- ^ ProjectExecTransformer (44)
                                    +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (43)
                                       :- ^ ProjectExecTransformer (39)
                                       :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (38)
                                       :     :- ^ FilterExecTransformer (34)
                                       :     :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales (33)
                                       :     +- ^ InputIteratorTransformer (37)
                                       :        +- ReusedExchange (35)
                                       +- ^ InputIteratorTransformer (42)
                                          +- ReusedExchange (40)


(1) FileSourceScanExecTransformer parquet spark_catalog.default.store_sales
Output [4]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#4)]
PushedFilters: [IsNull(ss_store_sk), IsNotNull(ss_item_sk)]
ReadSchema: struct<ss_item_sk:int,ss_store_sk:int,ss_ext_sales_price:decimal(7,2)>

(2) FilterExecTransformer
Input [4]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4]
Arguments: (isnull(ss_store_sk#2) AND isnotnull(ss_item_sk#1))

(3) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [2]: [i_item_sk#5, i_category#6]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_category:string>

(4) FilterExecTransformer
Input [2]: [i_item_sk#5, i_category#6]
Arguments: isnotnull(i_item_sk#5)

(5) WholeStageCodegenTransformer (1)
Input [2]: [i_item_sk#5, i_category#6]
Arguments: false

(6) ColumnarBroadcastExchange
Input [2]: [i_item_sk#5, i_category#6]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=1]

(7) InputAdapter
Input [2]: [i_item_sk#5, i_category#6]

(8) InputIteratorTransformer
Input [2]: [i_item_sk#5, i_category#6]

(9) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_item_sk#1]
Right keys [1]: [i_item_sk#5]
Join type: Inner
Join condition: None

(10) ProjectExecTransformer
Output [4]: [ss_store_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4, i_category#6]
Input [6]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4, i_item_sk#5, i_category#6]

(11) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#7, d_year#8, d_qoy#9]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_qoy:int>

(12) FilterExecTransformer
Input [3]: [d_date_sk#7, d_year#8, d_qoy#9]
Arguments: isnotnull(d_date_sk#7)

(13) WholeStageCodegenTransformer (2)
Input [3]: [d_date_sk#7, d_year#8, d_qoy#9]
Arguments: false

(14) ColumnarBroadcastExchange
Input [3]: [d_date_sk#7, d_year#8, d_qoy#9]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=2]

(15) InputAdapter
Input [3]: [d_date_sk#7, d_year#8, d_qoy#9]

(16) InputIteratorTransformer
Input [3]: [d_date_sk#7, d_year#8, d_qoy#9]

(17) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_sold_date_sk#4]
Right keys [1]: [d_date_sk#7]
Join type: Inner
Join condition: None

(18) ProjectExecTransformer
Output [6]: [store AS channel#10, ss_store_sk#2 AS col_name#11, d_year#8, d_qoy#9, i_category#6, ss_ext_sales_price#3 AS ext_sales_price#12]
Input [7]: [ss_store_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4, i_category#6, d_date_sk#7, d_year#8, d_qoy#9]

(19) WholeStageCodegenTransformer (3)
Input [6]: [channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, ext_sales_price#12]
Arguments: false

(20) FileSourceScanExecTransformer parquet spark_catalog.default.web_sales
Output [4]: [ws_item_sk#13, ws_ship_customer_sk#14, ws_ext_sales_price#15, ws_sold_date_sk#16]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#16)]
PushedFilters: [IsNull(ws_ship_customer_sk), IsNotNull(ws_item_sk)]
ReadSchema: struct<ws_item_sk:int,ws_ship_customer_sk:int,ws_ext_sales_price:decimal(7,2)>

(21) FilterExecTransformer
Input [4]: [ws_item_sk#13, ws_ship_customer_sk#14, ws_ext_sales_price#15, ws_sold_date_sk#16]
Arguments: (isnull(ws_ship_customer_sk#14) AND isnotnull(ws_item_sk#13))

(22) ReusedExchange [Reuses operator id: 6]
Output [2]: [i_item_sk#17, i_category#18]

(23) InputAdapter
Input [2]: [i_item_sk#17, i_category#18]

(24) InputIteratorTransformer
Input [2]: [i_item_sk#17, i_category#18]

(25) BroadcastHashJoinExecTransformer
Left keys [1]: [ws_item_sk#13]
Right keys [1]: [i_item_sk#17]
Join type: Inner
Join condition: None

(26) ProjectExecTransformer
Output [4]: [ws_ship_customer_sk#14, ws_ext_sales_price#15, ws_sold_date_sk#16, i_category#18]
Input [6]: [ws_item_sk#13, ws_ship_customer_sk#14, ws_ext_sales_price#15, ws_sold_date_sk#16, i_item_sk#17, i_category#18]

(27) ReusedExchange [Reuses operator id: 14]
Output [3]: [d_date_sk#19, d_year#20, d_qoy#21]

(28) InputAdapter
Input [3]: [d_date_sk#19, d_year#20, d_qoy#21]

(29) InputIteratorTransformer
Input [3]: [d_date_sk#19, d_year#20, d_qoy#21]

(30) BroadcastHashJoinExecTransformer
Left keys [1]: [ws_sold_date_sk#16]
Right keys [1]: [d_date_sk#19]
Join type: Inner
Join condition: None

(31) ProjectExecTransformer
Output [6]: [web AS channel#22, ws_ship_customer_sk#14 AS col_name#23, d_year#20, d_qoy#21, i_category#18, ws_ext_sales_price#15 AS ext_sales_price#24]
Input [7]: [ws_ship_customer_sk#14, ws_ext_sales_price#15, ws_sold_date_sk#16, i_category#18, d_date_sk#19, d_year#20, d_qoy#21]

(32) WholeStageCodegenTransformer (6)
Input [6]: [channel#22, col_name#23, d_year#20, d_qoy#21, i_category#18, ext_sales_price#24]
Arguments: false

(33) FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales
Output [4]: [cs_ship_addr_sk#25, cs_item_sk#26, cs_ext_sales_price#27, cs_sold_date_sk#28]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#28)]
PushedFilters: [IsNull(cs_ship_addr_sk), IsNotNull(cs_item_sk)]
ReadSchema: struct<cs_ship_addr_sk:int,cs_item_sk:int,cs_ext_sales_price:decimal(7,2)>

(34) FilterExecTransformer
Input [4]: [cs_ship_addr_sk#25, cs_item_sk#26, cs_ext_sales_price#27, cs_sold_date_sk#28]
Arguments: (isnull(cs_ship_addr_sk#25) AND isnotnull(cs_item_sk#26))

(35) ReusedExchange [Reuses operator id: 6]
Output [2]: [i_item_sk#29, i_category#30]

(36) InputAdapter
Input [2]: [i_item_sk#29, i_category#30]

(37) InputIteratorTransformer
Input [2]: [i_item_sk#29, i_category#30]

(38) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_item_sk#26]
Right keys [1]: [i_item_sk#29]
Join type: Inner
Join condition: None

(39) ProjectExecTransformer
Output [4]: [cs_ship_addr_sk#25, cs_ext_sales_price#27, cs_sold_date_sk#28, i_category#30]
Input [6]: [cs_ship_addr_sk#25, cs_item_sk#26, cs_ext_sales_price#27, cs_sold_date_sk#28, i_item_sk#29, i_category#30]

(40) ReusedExchange [Reuses operator id: 14]
Output [3]: [d_date_sk#31, d_year#32, d_qoy#33]

(41) InputAdapter
Input [3]: [d_date_sk#31, d_year#32, d_qoy#33]

(42) InputIteratorTransformer
Input [3]: [d_date_sk#31, d_year#32, d_qoy#33]

(43) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_sold_date_sk#28]
Right keys [1]: [d_date_sk#31]
Join type: Inner
Join condition: None

(44) ProjectExecTransformer
Output [6]: [catalog AS channel#34, cs_ship_addr_sk#25 AS col_name#35, d_year#32, d_qoy#33, i_category#30, cs_ext_sales_price#27 AS ext_sales_price#36]
Input [7]: [cs_ship_addr_sk#25, cs_ext_sales_price#27, cs_sold_date_sk#28, i_category#30, d_date_sk#31, d_year#32, d_qoy#33]

(45) WholeStageCodegenTransformer (9)
Input [6]: [channel#34, col_name#35, d_year#32, d_qoy#33, i_category#30, ext_sales_price#36]
Arguments: false

(46) ColumnarUnion
Arguments: UnknownPartitioning(0)

(47) InputAdapter
Input [6]: [channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, ext_sales_price#12]

(48) InputIteratorTransformer
Input [6]: [channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, ext_sales_price#12]

(49) ProjectExecTransformer
Output [6]: [channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, UnscaledValue(ext_sales_price#12) AS _pre_1#37]
Input [6]: [channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, ext_sales_price#12]

(50) FlushableHashAggregateExecTransformer
Input [6]: [channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, _pre_1#37]
Keys [5]: [channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6]
Functions [2]: [partial_count(1), partial_sum(_pre_1#37)]
Aggregate Attributes [2]: [count#38, sum#39]
Results [7]: [channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, count#40, sum#41]

(51) ProjectExecTransformer
Output [8]: [hash(channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, 42) AS hash_partition_key#42, channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, count#40, sum#41]
Input [7]: [channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, count#40, sum#41]

(52) WholeStageCodegenTransformer (10)
Input [8]: [hash_partition_key#42, channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, count#40, sum#41]
Arguments: false

(53) VeloxResizeBatches
Input [8]: [hash_partition_key#42, channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, count#40, sum#41]
Arguments: 1024, 2147483647, 10485760

(54) ColumnarExchange
Input [8]: [hash_partition_key#42, channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, count#40, sum#41]
Arguments: hashpartitioning(channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, 1), ENSURE_REQUIREMENTS, [channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, count#40, sum#41], [plan_id=3], [shuffle_writer_type=hash]

(55) InputAdapter
Input [7]: [channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, count#40, sum#41]

(56) InputIteratorTransformer
Input [7]: [channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, count#40, sum#41]

(57) RegularHashAggregateExecTransformer
Input [7]: [channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, count#40, sum#41]
Keys [5]: [channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6]
Functions [2]: [count(1), sum(UnscaledValue(ext_sales_price#12))]
Aggregate Attributes [2]: [count(1)#43, sum(UnscaledValue(ext_sales_price#12))#44]
Results [7]: [channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, count(1)#43, sum(UnscaledValue(ext_sales_price#12))#44]

(58) ProjectExecTransformer
Output [7]: [channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, count(1)#43 AS sales_cnt#45, MakeDecimal(sum(UnscaledValue(ext_sales_price#12))#44,17,2) AS sales_amt#46]
Input [7]: [channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, count(1)#43, sum(UnscaledValue(ext_sales_price#12))#44]

(59) WholeStageCodegenTransformer (11)
Input [7]: [channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, sales_cnt#45, sales_amt#46]
Arguments: false

(60) TakeOrderedAndProjectExecTransformer
Input [7]: [channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, sales_cnt#45, sales_amt#46]
Arguments: 100, [channel#10 ASC NULLS FIRST, col_name#11 ASC NULLS FIRST, d_year#8 ASC NULLS FIRST, d_qoy#9 ASC NULLS FIRST, i_category#6 ASC NULLS FIRST], [channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, sales_cnt#45, sales_amt#46], 0

(61) VeloxColumnarToRow
Input [7]: [channel#10, col_name#11, d_year#8, d_qoy#9, i_category#6, sales_cnt#45, sales_amt#46]

