/
explain.txt
249 lines (198 loc) · 10.7 KB
/
explain.txt
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== Physical Plan ==
* Sort (38)
+- Exchange (37)
+- * HashAggregate (36)
+- Exchange (35)
+- * HashAggregate (34)
+- * Project (33)
+- * BroadcastHashJoin Inner BuildRight (32)
:- * Project (26)
: +- * BroadcastHashJoin Inner BuildLeft (25)
: :- BroadcastExchange (5)
: : +- * Project (4)
: : +- * Filter (3)
: : +- * ColumnarToRow (2)
: : +- Scan parquet default.item (1)
: +- Union (24)
: :- * Project (11)
: : +- * BroadcastHashJoin Inner BuildRight (10)
: : :- * Filter (8)
: : : +- * ColumnarToRow (7)
: : : +- Scan parquet default.web_sales (6)
: : +- ReusedExchange (9)
: :- * Project (17)
: : +- * BroadcastHashJoin Inner BuildRight (16)
: : :- * Filter (14)
: : : +- * ColumnarToRow (13)
: : : +- Scan parquet default.catalog_sales (12)
: : +- ReusedExchange (15)
: +- * Project (23)
: +- * BroadcastHashJoin Inner BuildRight (22)
: :- * Filter (20)
: : +- * ColumnarToRow (19)
: : +- Scan parquet default.store_sales (18)
: +- ReusedExchange (21)
+- BroadcastExchange (31)
+- * Project (30)
+- * Filter (29)
+- * ColumnarToRow (28)
+- Scan parquet default.time_dim (27)
(1) Scan parquet default.item
Output [4]: [i_item_sk#1, i_brand_id#2, i_brand#3, i_manager_id#4]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_manager_id), EqualTo(i_manager_id,1), IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_brand_id:int,i_brand:string,i_manager_id:int>
(2) ColumnarToRow [codegen id : 1]
Input [4]: [i_item_sk#1, i_brand_id#2, i_brand#3, i_manager_id#4]
(3) Filter [codegen id : 1]
Input [4]: [i_item_sk#1, i_brand_id#2, i_brand#3, i_manager_id#4]
Condition : ((isnotnull(i_manager_id#4) AND (i_manager_id#4 = 1)) AND isnotnull(i_item_sk#1))
(4) Project [codegen id : 1]
Output [3]: [i_item_sk#1, i_brand_id#2, i_brand#3]
Input [4]: [i_item_sk#1, i_brand_id#2, i_brand#3, i_manager_id#4]
(5) BroadcastExchange
Input [3]: [i_item_sk#1, i_brand_id#2, i_brand#3]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#5]
(6) Scan parquet default.web_sales
Output [4]: [ws_sold_time_sk#6, ws_item_sk#7, ws_ext_sales_price#8, ws_sold_date_sk#9]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#9), dynamicpruningexpression(ws_sold_date_sk#9 IN dynamicpruning#10)]
PushedFilters: [IsNotNull(ws_item_sk), IsNotNull(ws_sold_time_sk)]
ReadSchema: struct<ws_sold_time_sk:int,ws_item_sk:int,ws_ext_sales_price:decimal(7,2)>
(7) ColumnarToRow [codegen id : 3]
Input [4]: [ws_sold_time_sk#6, ws_item_sk#7, ws_ext_sales_price#8, ws_sold_date_sk#9]
(8) Filter [codegen id : 3]
Input [4]: [ws_sold_time_sk#6, ws_item_sk#7, ws_ext_sales_price#8, ws_sold_date_sk#9]
Condition : (isnotnull(ws_item_sk#7) AND isnotnull(ws_sold_time_sk#6))
(9) ReusedExchange [Reuses operator id: 43]
Output [1]: [d_date_sk#11]
(10) BroadcastHashJoin [codegen id : 3]
Left keys [1]: [ws_sold_date_sk#9]
Right keys [1]: [d_date_sk#11]
Join condition: None
(11) Project [codegen id : 3]
Output [3]: [ws_ext_sales_price#8 AS ext_price#12, ws_item_sk#7 AS sold_item_sk#13, ws_sold_time_sk#6 AS time_sk#14]
Input [5]: [ws_sold_time_sk#6, ws_item_sk#7, ws_ext_sales_price#8, ws_sold_date_sk#9, d_date_sk#11]
(12) Scan parquet default.catalog_sales
Output [4]: [cs_sold_time_sk#15, cs_item_sk#16, cs_ext_sales_price#17, cs_sold_date_sk#18]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#18), dynamicpruningexpression(cs_sold_date_sk#18 IN dynamicpruning#10)]
PushedFilters: [IsNotNull(cs_item_sk), IsNotNull(cs_sold_time_sk)]
ReadSchema: struct<cs_sold_time_sk:int,cs_item_sk:int,cs_ext_sales_price:decimal(7,2)>
(13) ColumnarToRow [codegen id : 5]
Input [4]: [cs_sold_time_sk#15, cs_item_sk#16, cs_ext_sales_price#17, cs_sold_date_sk#18]
(14) Filter [codegen id : 5]
Input [4]: [cs_sold_time_sk#15, cs_item_sk#16, cs_ext_sales_price#17, cs_sold_date_sk#18]
Condition : (isnotnull(cs_item_sk#16) AND isnotnull(cs_sold_time_sk#15))
(15) ReusedExchange [Reuses operator id: 43]
Output [1]: [d_date_sk#19]
(16) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [cs_sold_date_sk#18]
Right keys [1]: [d_date_sk#19]
Join condition: None
(17) Project [codegen id : 5]
Output [3]: [cs_ext_sales_price#17 AS ext_price#20, cs_item_sk#16 AS sold_item_sk#21, cs_sold_time_sk#15 AS time_sk#22]
Input [5]: [cs_sold_time_sk#15, cs_item_sk#16, cs_ext_sales_price#17, cs_sold_date_sk#18, d_date_sk#19]
(18) Scan parquet default.store_sales
Output [4]: [ss_sold_time_sk#23, ss_item_sk#24, ss_ext_sales_price#25, ss_sold_date_sk#26]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#26), dynamicpruningexpression(ss_sold_date_sk#26 IN dynamicpruning#10)]
PushedFilters: [IsNotNull(ss_item_sk), IsNotNull(ss_sold_time_sk)]
ReadSchema: struct<ss_sold_time_sk:int,ss_item_sk:int,ss_ext_sales_price:decimal(7,2)>
(19) ColumnarToRow [codegen id : 7]
Input [4]: [ss_sold_time_sk#23, ss_item_sk#24, ss_ext_sales_price#25, ss_sold_date_sk#26]
(20) Filter [codegen id : 7]
Input [4]: [ss_sold_time_sk#23, ss_item_sk#24, ss_ext_sales_price#25, ss_sold_date_sk#26]
Condition : (isnotnull(ss_item_sk#24) AND isnotnull(ss_sold_time_sk#23))
(21) ReusedExchange [Reuses operator id: 43]
Output [1]: [d_date_sk#27]
(22) BroadcastHashJoin [codegen id : 7]
Left keys [1]: [ss_sold_date_sk#26]
Right keys [1]: [d_date_sk#27]
Join condition: None
(23) Project [codegen id : 7]
Output [3]: [ss_ext_sales_price#25 AS ext_price#28, ss_item_sk#24 AS sold_item_sk#29, ss_sold_time_sk#23 AS time_sk#30]
Input [5]: [ss_sold_time_sk#23, ss_item_sk#24, ss_ext_sales_price#25, ss_sold_date_sk#26, d_date_sk#27]
(24) Union
(25) BroadcastHashJoin [codegen id : 9]
Left keys [1]: [i_item_sk#1]
Right keys [1]: [sold_item_sk#13]
Join condition: None
(26) Project [codegen id : 9]
Output [4]: [i_brand_id#2, i_brand#3, ext_price#12, time_sk#14]
Input [6]: [i_item_sk#1, i_brand_id#2, i_brand#3, ext_price#12, sold_item_sk#13, time_sk#14]
(27) Scan parquet default.time_dim
Output [4]: [t_time_sk#31, t_hour#32, t_minute#33, t_meal_time#34]
Batched: true
Location [not included in comparison]/{warehouse_dir}/time_dim]
PushedFilters: [Or(EqualTo(t_meal_time,breakfast ),EqualTo(t_meal_time,dinner )), IsNotNull(t_time_sk)]
ReadSchema: struct<t_time_sk:int,t_hour:int,t_minute:int,t_meal_time:string>
(28) ColumnarToRow [codegen id : 8]
Input [4]: [t_time_sk#31, t_hour#32, t_minute#33, t_meal_time#34]
(29) Filter [codegen id : 8]
Input [4]: [t_time_sk#31, t_hour#32, t_minute#33, t_meal_time#34]
Condition : (((t_meal_time#34 = breakfast ) OR (t_meal_time#34 = dinner )) AND isnotnull(t_time_sk#31))
(30) Project [codegen id : 8]
Output [3]: [t_time_sk#31, t_hour#32, t_minute#33]
Input [4]: [t_time_sk#31, t_hour#32, t_minute#33, t_meal_time#34]
(31) BroadcastExchange
Input [3]: [t_time_sk#31, t_hour#32, t_minute#33]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#35]
(32) BroadcastHashJoin [codegen id : 9]
Left keys [1]: [time_sk#14]
Right keys [1]: [t_time_sk#31]
Join condition: None
(33) Project [codegen id : 9]
Output [5]: [i_brand_id#2, i_brand#3, ext_price#12, t_hour#32, t_minute#33]
Input [7]: [i_brand_id#2, i_brand#3, ext_price#12, time_sk#14, t_time_sk#31, t_hour#32, t_minute#33]
(34) HashAggregate [codegen id : 9]
Input [5]: [i_brand_id#2, i_brand#3, ext_price#12, t_hour#32, t_minute#33]
Keys [4]: [i_brand#3, i_brand_id#2, t_hour#32, t_minute#33]
Functions [1]: [partial_sum(UnscaledValue(ext_price#12))]
Aggregate Attributes [1]: [sum#36]
Results [5]: [i_brand#3, i_brand_id#2, t_hour#32, t_minute#33, sum#37]
(35) Exchange
Input [5]: [i_brand#3, i_brand_id#2, t_hour#32, t_minute#33, sum#37]
Arguments: hashpartitioning(i_brand#3, i_brand_id#2, t_hour#32, t_minute#33, 5), ENSURE_REQUIREMENTS, [id=#38]
(36) HashAggregate [codegen id : 10]
Input [5]: [i_brand#3, i_brand_id#2, t_hour#32, t_minute#33, sum#37]
Keys [4]: [i_brand#3, i_brand_id#2, t_hour#32, t_minute#33]
Functions [1]: [sum(UnscaledValue(ext_price#12))]
Aggregate Attributes [1]: [sum(UnscaledValue(ext_price#12))#39]
Results [5]: [i_brand_id#2 AS brand_id#40, i_brand#3 AS brand#41, t_hour#32, t_minute#33, MakeDecimal(sum(UnscaledValue(ext_price#12))#39,17,2) AS ext_price#42]
(37) Exchange
Input [5]: [brand_id#40, brand#41, t_hour#32, t_minute#33, ext_price#42]
Arguments: rangepartitioning(ext_price#42 DESC NULLS LAST, brand_id#40 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, [id=#43]
(38) Sort [codegen id : 11]
Input [5]: [brand_id#40, brand#41, t_hour#32, t_minute#33, ext_price#42]
Arguments: [ext_price#42 DESC NULLS LAST, brand_id#40 ASC NULLS FIRST], true, 0
===== Subqueries =====
Subquery:1 Hosting operator id = 6 Hosting Expression = ws_sold_date_sk#9 IN dynamicpruning#10
BroadcastExchange (43)
+- * Project (42)
+- * Filter (41)
+- * ColumnarToRow (40)
+- Scan parquet default.date_dim (39)
(39) Scan parquet default.date_dim
Output [3]: [d_date_sk#11, d_year#44, d_moy#45]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,11), EqualTo(d_year,1999), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>
(40) ColumnarToRow [codegen id : 1]
Input [3]: [d_date_sk#11, d_year#44, d_moy#45]
(41) Filter [codegen id : 1]
Input [3]: [d_date_sk#11, d_year#44, d_moy#45]
Condition : ((((isnotnull(d_moy#45) AND isnotnull(d_year#44)) AND (d_moy#45 = 11)) AND (d_year#44 = 1999)) AND isnotnull(d_date_sk#11))
(42) Project [codegen id : 1]
Output [1]: [d_date_sk#11]
Input [3]: [d_date_sk#11, d_year#44, d_moy#45]
(43) BroadcastExchange
Input [1]: [d_date_sk#11]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#46]
Subquery:2 Hosting operator id = 12 Hosting Expression = cs_sold_date_sk#18 IN dynamicpruning#10
Subquery:3 Hosting operator id = 18 Hosting Expression = ss_sold_date_sk#26 IN dynamicpruning#10