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explain.txt
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== Physical Plan ==
TakeOrderedAndProject (67)
+- * HashAggregate (66)
+- Exchange (65)
+- * HashAggregate (64)
+- * HashAggregate (63)
+- * HashAggregate (62)
+- * Project (61)
+- * SortMergeJoin Inner (60)
:- * Sort (47)
: +- * Project (46)
: +- * BroadcastHashJoin Inner BuildLeft (45)
: :- BroadcastExchange (10)
: : +- * Project (9)
: : +- * BroadcastHashJoin Inner BuildRight (8)
: : :- * Filter (3)
: : : +- * ColumnarToRow (2)
: : : +- Scan parquet default.customer_address (1)
: : +- BroadcastExchange (7)
: : +- * Filter (6)
: : +- * ColumnarToRow (5)
: : +- Scan parquet default.store (4)
: +- * HashAggregate (44)
: +- * HashAggregate (43)
: +- * Project (42)
: +- * SortMergeJoin Inner (41)
: :- * Sort (35)
: : +- Exchange (34)
: : +- * Project (33)
: : +- * BroadcastHashJoin Inner BuildRight (32)
: : :- * Project (26)
: : : +- * BroadcastHashJoin Inner BuildRight (25)
: : : :- Union (19)
: : : : :- * Project (14)
: : : : : +- * Filter (13)
: : : : : +- * ColumnarToRow (12)
: : : : : +- Scan parquet default.catalog_sales (11)
: : : : +- * Project (18)
: : : : +- * Filter (17)
: : : : +- * ColumnarToRow (16)
: : : : +- Scan parquet default.web_sales (15)
: : : +- BroadcastExchange (24)
: : : +- * Project (23)
: : : +- * Filter (22)
: : : +- * ColumnarToRow (21)
: : : +- Scan parquet default.date_dim (20)
: : +- BroadcastExchange (31)
: : +- * Project (30)
: : +- * Filter (29)
: : +- * ColumnarToRow (28)
: : +- Scan parquet default.item (27)
: +- * Sort (40)
: +- Exchange (39)
: +- * Filter (38)
: +- * ColumnarToRow (37)
: +- Scan parquet default.customer (36)
+- * Sort (59)
+- Exchange (58)
+- * Project (57)
+- * BroadcastHashJoin Inner BuildRight (56)
:- * Filter (50)
: +- * ColumnarToRow (49)
: +- Scan parquet default.store_sales (48)
+- BroadcastExchange (55)
+- * Project (54)
+- * Filter (53)
+- * ColumnarToRow (52)
+- Scan parquet default.date_dim (51)
(1) Scan parquet default.customer_address
Output [3]: [ca_address_sk#1, ca_county#2, ca_state#3]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_address]
PushedFilters: [IsNotNull(ca_address_sk), IsNotNull(ca_county), IsNotNull(ca_state)]
ReadSchema: struct<ca_address_sk:int,ca_county:string,ca_state:string>
(2) ColumnarToRow [codegen id : 2]
Input [3]: [ca_address_sk#1, ca_county#2, ca_state#3]
(3) Filter [codegen id : 2]
Input [3]: [ca_address_sk#1, ca_county#2, ca_state#3]
Condition : ((isnotnull(ca_address_sk#1) AND isnotnull(ca_county#2)) AND isnotnull(ca_state#3))
(4) Scan parquet default.store
Output [2]: [s_county#4, s_state#5]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_county), IsNotNull(s_state)]
ReadSchema: struct<s_county:string,s_state:string>
(5) ColumnarToRow [codegen id : 1]
Input [2]: [s_county#4, s_state#5]
(6) Filter [codegen id : 1]
Input [2]: [s_county#4, s_state#5]
Condition : (isnotnull(s_county#4) AND isnotnull(s_state#5))
(7) BroadcastExchange
Input [2]: [s_county#4, s_state#5]
Arguments: HashedRelationBroadcastMode(List(input[0, string, false], input[1, string, false]),false), [id=#6]
(8) BroadcastHashJoin [codegen id : 2]
Left keys [2]: [ca_county#2, ca_state#3]
Right keys [2]: [s_county#4, s_state#5]
Join condition: None
(9) Project [codegen id : 2]
Output [1]: [ca_address_sk#1]
Input [5]: [ca_address_sk#1, ca_county#2, ca_state#3, s_county#4, s_state#5]
(10) BroadcastExchange
Input [1]: [ca_address_sk#1]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#7]
(11) Scan parquet default.catalog_sales
Output [3]: [cs_bill_customer_sk#8, cs_item_sk#9, cs_sold_date_sk#10]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#10), dynamicpruningexpression(cs_sold_date_sk#10 IN dynamicpruning#11)]
PushedFilters: [IsNotNull(cs_item_sk), IsNotNull(cs_bill_customer_sk)]
ReadSchema: struct<cs_bill_customer_sk:int,cs_item_sk:int>
(12) ColumnarToRow [codegen id : 3]
Input [3]: [cs_bill_customer_sk#8, cs_item_sk#9, cs_sold_date_sk#10]
(13) Filter [codegen id : 3]
Input [3]: [cs_bill_customer_sk#8, cs_item_sk#9, cs_sold_date_sk#10]
Condition : (isnotnull(cs_item_sk#9) AND isnotnull(cs_bill_customer_sk#8))
(14) Project [codegen id : 3]
Output [3]: [cs_sold_date_sk#10 AS sold_date_sk#12, cs_bill_customer_sk#8 AS customer_sk#13, cs_item_sk#9 AS item_sk#14]
Input [3]: [cs_bill_customer_sk#8, cs_item_sk#9, cs_sold_date_sk#10]
(15) Scan parquet default.web_sales
Output [3]: [ws_item_sk#15, ws_bill_customer_sk#16, ws_sold_date_sk#17]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#17), dynamicpruningexpression(ws_sold_date_sk#17 IN dynamicpruning#11)]
PushedFilters: [IsNotNull(ws_item_sk), IsNotNull(ws_bill_customer_sk)]
ReadSchema: struct<ws_item_sk:int,ws_bill_customer_sk:int>
(16) ColumnarToRow [codegen id : 4]
Input [3]: [ws_item_sk#15, ws_bill_customer_sk#16, ws_sold_date_sk#17]
(17) Filter [codegen id : 4]
Input [3]: [ws_item_sk#15, ws_bill_customer_sk#16, ws_sold_date_sk#17]
Condition : (isnotnull(ws_item_sk#15) AND isnotnull(ws_bill_customer_sk#16))
(18) Project [codegen id : 4]
Output [3]: [ws_sold_date_sk#17 AS sold_date_sk#18, ws_bill_customer_sk#16 AS customer_sk#19, ws_item_sk#15 AS item_sk#20]
Input [3]: [ws_item_sk#15, ws_bill_customer_sk#16, ws_sold_date_sk#17]
(19) Union
(20) Scan parquet default.date_dim
Output [3]: [d_date_sk#21, d_year#22, d_moy#23]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,12), EqualTo(d_year,1998), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>
(21) ColumnarToRow [codegen id : 5]
Input [3]: [d_date_sk#21, d_year#22, d_moy#23]
(22) Filter [codegen id : 5]
Input [3]: [d_date_sk#21, d_year#22, d_moy#23]
Condition : ((((isnotnull(d_moy#23) AND isnotnull(d_year#22)) AND (d_moy#23 = 12)) AND (d_year#22 = 1998)) AND isnotnull(d_date_sk#21))
(23) Project [codegen id : 5]
Output [1]: [d_date_sk#21]
Input [3]: [d_date_sk#21, d_year#22, d_moy#23]
(24) BroadcastExchange
Input [1]: [d_date_sk#21]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#24]
(25) BroadcastHashJoin [codegen id : 7]
Left keys [1]: [sold_date_sk#12]
Right keys [1]: [d_date_sk#21]
Join condition: None
(26) Project [codegen id : 7]
Output [2]: [customer_sk#13, item_sk#14]
Input [4]: [sold_date_sk#12, customer_sk#13, item_sk#14, d_date_sk#21]
(27) Scan parquet default.item
Output [3]: [i_item_sk#25, i_class#26, i_category#27]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_category), IsNotNull(i_class), EqualTo(i_category,Women ), EqualTo(i_class,maternity ), IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_class:string,i_category:string>
(28) ColumnarToRow [codegen id : 6]
Input [3]: [i_item_sk#25, i_class#26, i_category#27]
(29) Filter [codegen id : 6]
Input [3]: [i_item_sk#25, i_class#26, i_category#27]
Condition : ((((isnotnull(i_category#27) AND isnotnull(i_class#26)) AND (i_category#27 = Women )) AND (i_class#26 = maternity )) AND isnotnull(i_item_sk#25))
(30) Project [codegen id : 6]
Output [1]: [i_item_sk#25]
Input [3]: [i_item_sk#25, i_class#26, i_category#27]
(31) BroadcastExchange
Input [1]: [i_item_sk#25]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#28]
(32) BroadcastHashJoin [codegen id : 7]
Left keys [1]: [item_sk#14]
Right keys [1]: [i_item_sk#25]
Join condition: None
(33) Project [codegen id : 7]
Output [1]: [customer_sk#13]
Input [3]: [customer_sk#13, item_sk#14, i_item_sk#25]
(34) Exchange
Input [1]: [customer_sk#13]
Arguments: hashpartitioning(customer_sk#13, 5), ENSURE_REQUIREMENTS, [id=#29]
(35) Sort [codegen id : 8]
Input [1]: [customer_sk#13]
Arguments: [customer_sk#13 ASC NULLS FIRST], false, 0
(36) Scan parquet default.customer
Output [2]: [c_customer_sk#30, c_current_addr_sk#31]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer]
PushedFilters: [IsNotNull(c_customer_sk), IsNotNull(c_current_addr_sk)]
ReadSchema: struct<c_customer_sk:int,c_current_addr_sk:int>
(37) ColumnarToRow [codegen id : 9]
Input [2]: [c_customer_sk#30, c_current_addr_sk#31]
(38) Filter [codegen id : 9]
Input [2]: [c_customer_sk#30, c_current_addr_sk#31]
Condition : (isnotnull(c_customer_sk#30) AND isnotnull(c_current_addr_sk#31))
(39) Exchange
Input [2]: [c_customer_sk#30, c_current_addr_sk#31]
Arguments: hashpartitioning(c_customer_sk#30, 5), ENSURE_REQUIREMENTS, [id=#32]
(40) Sort [codegen id : 10]
Input [2]: [c_customer_sk#30, c_current_addr_sk#31]
Arguments: [c_customer_sk#30 ASC NULLS FIRST], false, 0
(41) SortMergeJoin
Left keys [1]: [customer_sk#13]
Right keys [1]: [c_customer_sk#30]
Join condition: None
(42) Project
Output [2]: [c_customer_sk#30, c_current_addr_sk#31]
Input [3]: [customer_sk#13, c_customer_sk#30, c_current_addr_sk#31]
(43) HashAggregate
Input [2]: [c_customer_sk#30, c_current_addr_sk#31]
Keys [2]: [c_customer_sk#30, c_current_addr_sk#31]
Functions: []
Aggregate Attributes: []
Results [2]: [c_customer_sk#30, c_current_addr_sk#31]
(44) HashAggregate
Input [2]: [c_customer_sk#30, c_current_addr_sk#31]
Keys [2]: [c_customer_sk#30, c_current_addr_sk#31]
Functions: []
Aggregate Attributes: []
Results [2]: [c_customer_sk#30, c_current_addr_sk#31]
(45) BroadcastHashJoin [codegen id : 11]
Left keys [1]: [ca_address_sk#1]
Right keys [1]: [c_current_addr_sk#31]
Join condition: None
(46) Project [codegen id : 11]
Output [1]: [c_customer_sk#30]
Input [3]: [ca_address_sk#1, c_customer_sk#30, c_current_addr_sk#31]
(47) Sort [codegen id : 11]
Input [1]: [c_customer_sk#30]
Arguments: [c_customer_sk#30 ASC NULLS FIRST], false, 0
(48) Scan parquet default.store_sales
Output [3]: [ss_customer_sk#33, ss_ext_sales_price#34, ss_sold_date_sk#35]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#35), dynamicpruningexpression(ss_sold_date_sk#35 IN dynamicpruning#36)]
PushedFilters: [IsNotNull(ss_customer_sk)]
ReadSchema: struct<ss_customer_sk:int,ss_ext_sales_price:decimal(7,2)>
(49) ColumnarToRow [codegen id : 13]
Input [3]: [ss_customer_sk#33, ss_ext_sales_price#34, ss_sold_date_sk#35]
(50) Filter [codegen id : 13]
Input [3]: [ss_customer_sk#33, ss_ext_sales_price#34, ss_sold_date_sk#35]
Condition : isnotnull(ss_customer_sk#33)
(51) Scan parquet default.date_dim
Output [2]: [d_date_sk#37, d_month_seq#38]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_month_seq), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_month_seq:int>
(52) ColumnarToRow [codegen id : 12]
Input [2]: [d_date_sk#37, d_month_seq#38]
(53) Filter [codegen id : 12]
Input [2]: [d_date_sk#37, d_month_seq#38]
Condition : (((isnotnull(d_month_seq#38) AND (d_month_seq#38 >= Subquery scalar-subquery#39, [id=#40])) AND (d_month_seq#38 <= Subquery scalar-subquery#41, [id=#42])) AND isnotnull(d_date_sk#37))
(54) Project [codegen id : 12]
Output [1]: [d_date_sk#37]
Input [2]: [d_date_sk#37, d_month_seq#38]
(55) BroadcastExchange
Input [1]: [d_date_sk#37]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#43]
(56) BroadcastHashJoin [codegen id : 13]
Left keys [1]: [ss_sold_date_sk#35]
Right keys [1]: [d_date_sk#37]
Join condition: None
(57) Project [codegen id : 13]
Output [2]: [ss_customer_sk#33, ss_ext_sales_price#34]
Input [4]: [ss_customer_sk#33, ss_ext_sales_price#34, ss_sold_date_sk#35, d_date_sk#37]
(58) Exchange
Input [2]: [ss_customer_sk#33, ss_ext_sales_price#34]
Arguments: hashpartitioning(ss_customer_sk#33, 5), ENSURE_REQUIREMENTS, [id=#44]
(59) Sort [codegen id : 14]
Input [2]: [ss_customer_sk#33, ss_ext_sales_price#34]
Arguments: [ss_customer_sk#33 ASC NULLS FIRST], false, 0
(60) SortMergeJoin [codegen id : 15]
Left keys [1]: [c_customer_sk#30]
Right keys [1]: [ss_customer_sk#33]
Join condition: None
(61) Project [codegen id : 15]
Output [2]: [c_customer_sk#30, ss_ext_sales_price#34]
Input [3]: [c_customer_sk#30, ss_customer_sk#33, ss_ext_sales_price#34]
(62) HashAggregate [codegen id : 15]
Input [2]: [c_customer_sk#30, ss_ext_sales_price#34]
Keys [1]: [c_customer_sk#30]
Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#34))]
Aggregate Attributes [1]: [sum#45]
Results [2]: [c_customer_sk#30, sum#46]
(63) HashAggregate [codegen id : 15]
Input [2]: [c_customer_sk#30, sum#46]
Keys [1]: [c_customer_sk#30]
Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#34))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#34))#47]
Results [1]: [cast(CheckOverflow((promote_precision(MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#34))#47,17,2)) / 50.00), DecimalType(21,6), true) as int) AS segment#48]
(64) HashAggregate [codegen id : 15]
Input [1]: [segment#48]
Keys [1]: [segment#48]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#49]
Results [2]: [segment#48, count#50]
(65) Exchange
Input [2]: [segment#48, count#50]
Arguments: hashpartitioning(segment#48, 5), ENSURE_REQUIREMENTS, [id=#51]
(66) HashAggregate [codegen id : 16]
Input [2]: [segment#48, count#50]
Keys [1]: [segment#48]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#52]
Results [3]: [segment#48, count(1)#52 AS num_customers#53, (segment#48 * 50) AS segment_base#54]
(67) TakeOrderedAndProject
Input [3]: [segment#48, num_customers#53, segment_base#54]
Arguments: 100, [segment#48 ASC NULLS FIRST, num_customers#53 ASC NULLS FIRST], [segment#48, num_customers#53, segment_base#54]
===== Subqueries =====
Subquery:1 Hosting operator id = 11 Hosting Expression = cs_sold_date_sk#10 IN dynamicpruning#11
ReusedExchange (68)
(68) ReusedExchange [Reuses operator id: 24]
Output [1]: [d_date_sk#21]
Subquery:2 Hosting operator id = 15 Hosting Expression = ws_sold_date_sk#17 IN dynamicpruning#11
Subquery:3 Hosting operator id = 48 Hosting Expression = ss_sold_date_sk#35 IN dynamicpruning#36
ReusedExchange (69)
(69) ReusedExchange [Reuses operator id: 55]
Output [1]: [d_date_sk#37]
Subquery:4 Hosting operator id = 53 Hosting Expression = Subquery scalar-subquery#39, [id=#40]
* HashAggregate (76)
+- Exchange (75)
+- * HashAggregate (74)
+- * Project (73)
+- * Filter (72)
+- * ColumnarToRow (71)
+- Scan parquet default.date_dim (70)
(70) Scan parquet default.date_dim
Output [3]: [d_month_seq#55, d_year#56, d_moy#57]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,12)]
ReadSchema: struct<d_month_seq:int,d_year:int,d_moy:int>
(71) ColumnarToRow [codegen id : 1]
Input [3]: [d_month_seq#55, d_year#56, d_moy#57]
(72) Filter [codegen id : 1]
Input [3]: [d_month_seq#55, d_year#56, d_moy#57]
Condition : (((isnotnull(d_year#56) AND isnotnull(d_moy#57)) AND (d_year#56 = 1998)) AND (d_moy#57 = 12))
(73) Project [codegen id : 1]
Output [1]: [(d_month_seq#55 + 1) AS (d_month_seq + 1)#58]
Input [3]: [d_month_seq#55, d_year#56, d_moy#57]
(74) HashAggregate [codegen id : 1]
Input [1]: [(d_month_seq + 1)#58]
Keys [1]: [(d_month_seq + 1)#58]
Functions: []
Aggregate Attributes: []
Results [1]: [(d_month_seq + 1)#58]
(75) Exchange
Input [1]: [(d_month_seq + 1)#58]
Arguments: hashpartitioning((d_month_seq + 1)#58, 5), ENSURE_REQUIREMENTS, [id=#59]
(76) HashAggregate [codegen id : 2]
Input [1]: [(d_month_seq + 1)#58]
Keys [1]: [(d_month_seq + 1)#58]
Functions: []
Aggregate Attributes: []
Results [1]: [(d_month_seq + 1)#58]
Subquery:5 Hosting operator id = 53 Hosting Expression = Subquery scalar-subquery#41, [id=#42]
* HashAggregate (83)
+- Exchange (82)
+- * HashAggregate (81)
+- * Project (80)
+- * Filter (79)
+- * ColumnarToRow (78)
+- Scan parquet default.date_dim (77)
(77) Scan parquet default.date_dim
Output [3]: [d_month_seq#60, d_year#61, d_moy#62]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,12)]
ReadSchema: struct<d_month_seq:int,d_year:int,d_moy:int>
(78) ColumnarToRow [codegen id : 1]
Input [3]: [d_month_seq#60, d_year#61, d_moy#62]
(79) Filter [codegen id : 1]
Input [3]: [d_month_seq#60, d_year#61, d_moy#62]
Condition : (((isnotnull(d_year#61) AND isnotnull(d_moy#62)) AND (d_year#61 = 1998)) AND (d_moy#62 = 12))
(80) Project [codegen id : 1]
Output [1]: [(d_month_seq#60 + 3) AS (d_month_seq + 3)#63]
Input [3]: [d_month_seq#60, d_year#61, d_moy#62]
(81) HashAggregate [codegen id : 1]
Input [1]: [(d_month_seq + 3)#63]
Keys [1]: [(d_month_seq + 3)#63]
Functions: []
Aggregate Attributes: []
Results [1]: [(d_month_seq + 3)#63]
(82) Exchange
Input [1]: [(d_month_seq + 3)#63]
Arguments: hashpartitioning((d_month_seq + 3)#63, 5), ENSURE_REQUIREMENTS, [id=#64]
(83) HashAggregate [codegen id : 2]
Input [1]: [(d_month_seq + 3)#63]
Keys [1]: [(d_month_seq + 3)#63]
Functions: []
Aggregate Attributes: []
Results [1]: [(d_month_seq + 3)#63]