== Physical Plan ==
VeloxColumnarToRow (46)
+- TakeOrderedAndProjectExecTransformer (45)
   +- ^ RegularHashAggregateExecTransformer (43)
      +- ^ InputIteratorTransformer (42)
         +- ColumnarExchange (40)
            +- VeloxResizeBatches (39)
               +- ^ ProjectExecTransformer (37)
                  +- ^ FlushableHashAggregateExecTransformer (36)
                     +- ^ ProjectExecTransformer (35)
                        +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (34)
                           :- ^ ProjectExecTransformer (26)
                           :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (25)
                           :     :- ^ ProjectExecTransformer (18)
                           :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (17)
                           :     :     :- ^ ProjectExecTransformer (10)
                           :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (9)
                           :     :     :     :- ^ FilterExecTransformer (2)
                           :     :     :     :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales (1)
                           :     :     :     +- ^ InputIteratorTransformer (8)
                           :     :     :        +- ColumnarBroadcastExchange (6)
                           :     :     :           +- ^ FilterExecTransformer (4)
                           :     :     :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.warehouse (3)
                           :     :     +- ^ InputIteratorTransformer (16)
                           :     :        +- ColumnarBroadcastExchange (14)
                           :     :           +- ^ FilterExecTransformer (12)
                           :     :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.ship_mode (11)
                           :     +- ^ InputIteratorTransformer (24)
                           :        +- ColumnarBroadcastExchange (22)
                           :           +- ^ FilterExecTransformer (20)
                           :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.call_center (19)
                           +- ^ InputIteratorTransformer (33)
                              +- ColumnarBroadcastExchange (31)
                                 +- ^ ProjectExecTransformer (29)
                                    +- ^ FilterExecTransformer (28)
                                       +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (27)


(1) FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales
Output [5]: [cs_ship_date_sk#1, cs_call_center_sk#2, cs_ship_mode_sk#3, cs_warehouse_sk#4, cs_sold_date_sk#5]
Batched: true
Location: CatalogFileIndex [{warehouse_dir}/catalog_sales]
PushedFilters: [IsNotNull(cs_warehouse_sk), IsNotNull(cs_ship_mode_sk), IsNotNull(cs_call_center_sk), IsNotNull(cs_ship_date_sk)]
ReadSchema: struct<cs_ship_date_sk:int,cs_call_center_sk:int,cs_ship_mode_sk:int,cs_warehouse_sk:int>

(2) FilterExecTransformer
Input [5]: [cs_ship_date_sk#1, cs_call_center_sk#2, cs_ship_mode_sk#3, cs_warehouse_sk#4, cs_sold_date_sk#5]
Arguments: (((isnotnull(cs_warehouse_sk#4) AND isnotnull(cs_ship_mode_sk#3)) AND isnotnull(cs_call_center_sk#2)) AND isnotnull(cs_ship_date_sk#1))

(3) FileSourceScanExecTransformer parquet spark_catalog.default.warehouse
Output [2]: [w_warehouse_sk#6, w_warehouse_name#7]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/warehouse]
PushedFilters: [IsNotNull(w_warehouse_sk)]
ReadSchema: struct<w_warehouse_sk:int,w_warehouse_name:string>

(4) FilterExecTransformer
Input [2]: [w_warehouse_sk#6, w_warehouse_name#7]
Arguments: isnotnull(w_warehouse_sk#6)

(5) WholeStageCodegenTransformer (1)
Input [2]: [w_warehouse_sk#6, w_warehouse_name#7]
Arguments: false

(6) ColumnarBroadcastExchange
Input [2]: [w_warehouse_sk#6, w_warehouse_name#7]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=1]

(7) InputAdapter
Input [2]: [w_warehouse_sk#6, w_warehouse_name#7]

(8) InputIteratorTransformer
Input [2]: [w_warehouse_sk#6, w_warehouse_name#7]

(9) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_warehouse_sk#4]
Right keys [1]: [w_warehouse_sk#6]
Join type: Inner
Join condition: None

(10) ProjectExecTransformer
Output [5]: [cs_ship_date_sk#1, cs_call_center_sk#2, cs_ship_mode_sk#3, cs_sold_date_sk#5, w_warehouse_name#7]
Input [7]: [cs_ship_date_sk#1, cs_call_center_sk#2, cs_ship_mode_sk#3, cs_warehouse_sk#4, cs_sold_date_sk#5, w_warehouse_sk#6, w_warehouse_name#7]

(11) FileSourceScanExecTransformer parquet spark_catalog.default.ship_mode
Output [2]: [sm_ship_mode_sk#8, sm_type#9]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/ship_mode]
PushedFilters: [IsNotNull(sm_ship_mode_sk)]
ReadSchema: struct<sm_ship_mode_sk:int,sm_type:string>

(12) FilterExecTransformer
Input [2]: [sm_ship_mode_sk#8, sm_type#9]
Arguments: isnotnull(sm_ship_mode_sk#8)

(13) WholeStageCodegenTransformer (2)
Input [2]: [sm_ship_mode_sk#8, sm_type#9]
Arguments: false

(14) ColumnarBroadcastExchange
Input [2]: [sm_ship_mode_sk#8, sm_type#9]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=2]

(15) InputAdapter
Input [2]: [sm_ship_mode_sk#8, sm_type#9]

(16) InputIteratorTransformer
Input [2]: [sm_ship_mode_sk#8, sm_type#9]

(17) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_ship_mode_sk#3]
Right keys [1]: [sm_ship_mode_sk#8]
Join type: Inner
Join condition: None

(18) ProjectExecTransformer
Output [5]: [cs_ship_date_sk#1, cs_call_center_sk#2, cs_sold_date_sk#5, w_warehouse_name#7, sm_type#9]
Input [7]: [cs_ship_date_sk#1, cs_call_center_sk#2, cs_ship_mode_sk#3, cs_sold_date_sk#5, w_warehouse_name#7, sm_ship_mode_sk#8, sm_type#9]

(19) FileSourceScanExecTransformer parquet spark_catalog.default.call_center
Output [2]: [cc_call_center_sk#10, cc_name#11]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/call_center]
PushedFilters: [IsNotNull(cc_call_center_sk)]
ReadSchema: struct<cc_call_center_sk:int,cc_name:string>

(20) FilterExecTransformer
Input [2]: [cc_call_center_sk#10, cc_name#11]
Arguments: isnotnull(cc_call_center_sk#10)

(21) WholeStageCodegenTransformer (3)
Input [2]: [cc_call_center_sk#10, cc_name#11]
Arguments: false

(22) ColumnarBroadcastExchange
Input [2]: [cc_call_center_sk#10, cc_name#11]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3]

(23) InputAdapter
Input [2]: [cc_call_center_sk#10, cc_name#11]

(24) InputIteratorTransformer
Input [2]: [cc_call_center_sk#10, cc_name#11]

(25) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_call_center_sk#2]
Right keys [1]: [cc_call_center_sk#10]
Join type: Inner
Join condition: None

(26) ProjectExecTransformer
Output [5]: [cs_ship_date_sk#1, cs_sold_date_sk#5, w_warehouse_name#7, sm_type#9, cc_name#11]
Input [7]: [cs_ship_date_sk#1, cs_call_center_sk#2, cs_sold_date_sk#5, w_warehouse_name#7, sm_type#9, cc_call_center_sk#10, cc_name#11]

(27) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#12, d_month_seq#13]
Batched: true
Location: InMemoryFileIndex [{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>

(28) FilterExecTransformer
Input [2]: [d_date_sk#12, d_month_seq#13]
Arguments: (((isnotnull(d_month_seq#13) AND (d_month_seq#13 >= 1200)) AND (d_month_seq#13 <= 1211)) AND isnotnull(d_date_sk#12))

(29) ProjectExecTransformer
Output [1]: [d_date_sk#12]
Input [2]: [d_date_sk#12, d_month_seq#13]

(30) WholeStageCodegenTransformer (4)
Input [1]: [d_date_sk#12]
Arguments: false

(31) ColumnarBroadcastExchange
Input [1]: [d_date_sk#12]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4]

(32) InputAdapter
Input [1]: [d_date_sk#12]

(33) InputIteratorTransformer
Input [1]: [d_date_sk#12]

(34) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_ship_date_sk#1]
Right keys [1]: [d_date_sk#12]
Join type: Inner
Join condition: None

(35) ProjectExecTransformer
Output [8]: [sm_type#9, cc_name#11, substr(w_warehouse_name#7, 1, 20) AS _groupingexpression#14, CASE WHEN ((cs_ship_date_sk#1 - cs_sold_date_sk#5) <= 30) THEN 1 ELSE 0 END AS _pre_1#15, CASE WHEN (((cs_ship_date_sk#1 - cs_sold_date_sk#5) > 30) AND ((cs_ship_date_sk#1 - cs_sold_date_sk#5) <= 60)) THEN 1 ELSE 0 END AS _pre_2#16, CASE WHEN (((cs_ship_date_sk#1 - cs_sold_date_sk#5) > 60) AND ((cs_ship_date_sk#1 - cs_sold_date_sk#5) <= 90)) THEN 1 ELSE 0 END AS _pre_3#17, CASE WHEN (((cs_ship_date_sk#1 - cs_sold_date_sk#5) > 90) AND ((cs_ship_date_sk#1 - cs_sold_date_sk#5) <= 120)) THEN 1 ELSE 0 END AS _pre_4#18, CASE WHEN ((cs_ship_date_sk#1 - cs_sold_date_sk#5) > 120) THEN 1 ELSE 0 END AS _pre_5#19]
Input [6]: [cs_ship_date_sk#1, cs_sold_date_sk#5, w_warehouse_name#7, sm_type#9, cc_name#11, d_date_sk#12]

(36) FlushableHashAggregateExecTransformer
Input [8]: [sm_type#9, cc_name#11, _groupingexpression#14, _pre_1#15, _pre_2#16, _pre_3#17, _pre_4#18, _pre_5#19]
Keys [3]: [_groupingexpression#14, sm_type#9, cc_name#11]
Functions [5]: [partial_sum(_pre_1#15), partial_sum(_pre_2#16), partial_sum(_pre_3#17), partial_sum(_pre_4#18), partial_sum(_pre_5#19)]
Aggregate Attributes [5]: [sum#20, sum#21, sum#22, sum#23, sum#24]
Results [8]: [_groupingexpression#14, sm_type#9, cc_name#11, sum#25, sum#26, sum#27, sum#28, sum#29]

(37) ProjectExecTransformer
Output [9]: [hash(_groupingexpression#14, sm_type#9, cc_name#11, 42) AS hash_partition_key#30, _groupingexpression#14, sm_type#9, cc_name#11, sum#25, sum#26, sum#27, sum#28, sum#29]
Input [8]: [_groupingexpression#14, sm_type#9, cc_name#11, sum#25, sum#26, sum#27, sum#28, sum#29]

(38) WholeStageCodegenTransformer (5)
Input [9]: [hash_partition_key#30, _groupingexpression#14, sm_type#9, cc_name#11, sum#25, sum#26, sum#27, sum#28, sum#29]
Arguments: false

(39) VeloxResizeBatches
Input [9]: [hash_partition_key#30, _groupingexpression#14, sm_type#9, cc_name#11, sum#25, sum#26, sum#27, sum#28, sum#29]
Arguments: 1024, 2147483647, 10485760

(40) ColumnarExchange
Input [9]: [hash_partition_key#30, _groupingexpression#14, sm_type#9, cc_name#11, sum#25, sum#26, sum#27, sum#28, sum#29]
Arguments: hashpartitioning(_groupingexpression#14, sm_type#9, cc_name#11, 1), ENSURE_REQUIREMENTS, [_groupingexpression#14, sm_type#9, cc_name#11, sum#25, sum#26, sum#27, sum#28, sum#29], [plan_id=5], [shuffle_writer_type=hash]

(41) InputAdapter
Input [8]: [_groupingexpression#14, sm_type#9, cc_name#11, sum#25, sum#26, sum#27, sum#28, sum#29]

(42) InputIteratorTransformer
Input [8]: [_groupingexpression#14, sm_type#9, cc_name#11, sum#25, sum#26, sum#27, sum#28, sum#29]

(43) RegularHashAggregateExecTransformer
Input [8]: [_groupingexpression#14, sm_type#9, cc_name#11, sum#25, sum#26, sum#27, sum#28, sum#29]
Keys [3]: [_groupingexpression#14, sm_type#9, cc_name#11]
Functions [5]: [sum(CASE WHEN ((cs_ship_date_sk#1 - cs_sold_date_sk#5) <= 30) THEN 1 ELSE 0 END), sum(CASE WHEN (((cs_ship_date_sk#1 - cs_sold_date_sk#5) > 30) AND ((cs_ship_date_sk#1 - cs_sold_date_sk#5) <= 60)) THEN 1 ELSE 0 END), sum(CASE WHEN (((cs_ship_date_sk#1 - cs_sold_date_sk#5) > 60) AND ((cs_ship_date_sk#1 - cs_sold_date_sk#5) <= 90)) THEN 1 ELSE 0 END), sum(CASE WHEN (((cs_ship_date_sk#1 - cs_sold_date_sk#5) > 90) AND ((cs_ship_date_sk#1 - cs_sold_date_sk#5) <= 120)) THEN 1 ELSE 0 END), sum(CASE WHEN ((cs_ship_date_sk#1 - cs_sold_date_sk#5) > 120) THEN 1 ELSE 0 END)]
Aggregate Attributes [5]: [sum(CASE WHEN ((cs_ship_date_sk#1 - cs_sold_date_sk#5) <= 30) THEN 1 ELSE 0 END)#31, sum(CASE WHEN (((cs_ship_date_sk#1 - cs_sold_date_sk#5) > 30) AND ((cs_ship_date_sk#1 - cs_sold_date_sk#5) <= 60)) THEN 1 ELSE 0 END)#32, sum(CASE WHEN (((cs_ship_date_sk#1 - cs_sold_date_sk#5) > 60) AND ((cs_ship_date_sk#1 - cs_sold_date_sk#5) <= 90)) THEN 1 ELSE 0 END)#33, sum(CASE WHEN (((cs_ship_date_sk#1 - cs_sold_date_sk#5) > 90) AND ((cs_ship_date_sk#1 - cs_sold_date_sk#5) <= 120)) THEN 1 ELSE 0 END)#34, sum(CASE WHEN ((cs_ship_date_sk#1 - cs_sold_date_sk#5) > 120) THEN 1 ELSE 0 END)#35]
Results [8]: [_groupingexpression#14 AS substr(w_warehouse_name, 1, 20)#36, sm_type#9, cc_name#11, sum(CASE WHEN ((cs_ship_date_sk#1 - cs_sold_date_sk#5) <= 30) THEN 1 ELSE 0 END)#31 AS 30 days #37, sum(CASE WHEN (((cs_ship_date_sk#1 - cs_sold_date_sk#5) > 30) AND ((cs_ship_date_sk#1 - cs_sold_date_sk#5) <= 60)) THEN 1 ELSE 0 END)#32 AS 31 - 60 days #38, sum(CASE WHEN (((cs_ship_date_sk#1 - cs_sold_date_sk#5) > 60) AND ((cs_ship_date_sk#1 - cs_sold_date_sk#5) <= 90)) THEN 1 ELSE 0 END)#33 AS 61 - 90 days #39, sum(CASE WHEN (((cs_ship_date_sk#1 - cs_sold_date_sk#5) > 90) AND ((cs_ship_date_sk#1 - cs_sold_date_sk#5) <= 120)) THEN 1 ELSE 0 END)#34 AS 91 - 120 days #40, sum(CASE WHEN ((cs_ship_date_sk#1 - cs_sold_date_sk#5) > 120) THEN 1 ELSE 0 END)#35 AS >120 days #41]

(44) WholeStageCodegenTransformer (6)
Input [8]: [substr(w_warehouse_name, 1, 20)#36, sm_type#9, cc_name#11, 30 days #37, 31 - 60 days #38, 61 - 90 days #39, 91 - 120 days #40, >120 days #41]
Arguments: false

(45) TakeOrderedAndProjectExecTransformer
Input [8]: [substr(w_warehouse_name, 1, 20)#36, sm_type#9, cc_name#11, 30 days #37, 31 - 60 days #38, 61 - 90 days #39, 91 - 120 days #40, >120 days #41]
Arguments: 100, [substr(w_warehouse_name, 1, 20)#36 ASC NULLS FIRST, sm_type#9 ASC NULLS FIRST, cc_name#11 ASC NULLS FIRST], [substr(w_warehouse_name, 1, 20)#36, sm_type#9, cc_name#11, 30 days #37, 31 - 60 days #38, 61 - 90 days #39, 91 - 120 days #40, >120 days #41], 0

(46) VeloxColumnarToRow
Input [8]: [substr(w_warehouse_name, 1, 20)#36, sm_type#9, cc_name#11, 30 days #37, 31 - 60 days #38, 61 - 90 days #39, 91 - 120 days #40, >120 days #41]

