/
explain.txt
180 lines (146 loc) · 9.02 KB
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explain.txt
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== Physical Plan ==
TakeOrderedAndProject (32)
+- * Project (31)
+- * Filter (30)
+- Window (29)
+- * Sort (28)
+- Exchange (27)
+- * HashAggregate (26)
+- Exchange (25)
+- * HashAggregate (24)
+- * Project (23)
+- * BroadcastHashJoin Inner BuildRight (22)
:- * Project (17)
: +- * BroadcastHashJoin Inner BuildRight (16)
: :- * Project (10)
: : +- * BroadcastHashJoin Inner BuildRight (9)
: : :- * Project (4)
: : : +- * Filter (3)
: : : +- * ColumnarToRow (2)
: : : +- Scan parquet default.item (1)
: : +- BroadcastExchange (8)
: : +- * Filter (7)
: : +- * ColumnarToRow (6)
: : +- Scan parquet default.store_sales (5)
: +- BroadcastExchange (15)
: +- * Project (14)
: +- * Filter (13)
: +- * ColumnarToRow (12)
: +- Scan parquet default.date_dim (11)
+- BroadcastExchange (21)
+- * Filter (20)
+- * ColumnarToRow (19)
+- Scan parquet default.store (18)
(1) Scan parquet default.item
Output [5]: [i_item_sk#1, i_brand#2, i_class#3, i_category#4, i_manager_id#5]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [Or(And(And(In(i_category, [Books,Children,Electronics]),In(i_class, [personal,portable,reference,self-help])),In(i_brand, [scholaramalgamalg #6,scholaramalgamalg #7,exportiunivamalg #8,scholaramalgamalg #8])),And(And(In(i_category, [Women,Music,Men]),In(i_class, [accessories,classical,fragrances,pants])),In(i_brand, [amalgimporto #9,edu packscholar #9,exportiimporto #9,importoamalg #9]))), IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_brand:string,i_class:string,i_category:string,i_manager_id:int>
(2) ColumnarToRow [codegen id : 4]
Input [5]: [i_item_sk#1, i_brand#2, i_class#3, i_category#4, i_manager_id#5]
(3) Filter [codegen id : 4]
Input [5]: [i_item_sk#1, i_brand#2, i_class#3, i_category#4, i_manager_id#5]
Condition : ((((i_category#4 IN (Books,Children,Electronics) AND i_class#3 IN (personal,portable,reference,self-help)) AND i_brand#2 IN (scholaramalgamalg #6,scholaramalgamalg #7,exportiunivamalg #8,scholaramalgamalg #8)) OR ((i_category#4 IN (Women,Music,Men) AND i_class#3 IN (accessories,classical,fragrances,pants)) AND i_brand#2 IN (amalgimporto #9,edu packscholar #9,exportiimporto #9,importoamalg #9))) AND isnotnull(i_item_sk#1))
(4) Project [codegen id : 4]
Output [2]: [i_item_sk#1, i_manager_id#5]
Input [5]: [i_item_sk#1, i_brand#2, i_class#3, i_category#4, i_manager_id#5]
(5) Scan parquet default.store_sales
Output [4]: [ss_sold_date_sk#10, ss_item_sk#11, ss_store_sk#12, ss_sales_price#13]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store_sales]
PushedFilters: [IsNotNull(ss_sold_date_sk), GreaterThanOrEqual(ss_sold_date_sk,2452123), LessThanOrEqual(ss_sold_date_sk,2452487), IsNotNull(ss_item_sk), IsNotNull(ss_store_sk)]
ReadSchema: struct<ss_sold_date_sk:int,ss_item_sk:int,ss_store_sk:int,ss_sales_price:decimal(7,2)>
(6) ColumnarToRow [codegen id : 1]
Input [4]: [ss_sold_date_sk#10, ss_item_sk#11, ss_store_sk#12, ss_sales_price#13]
(7) Filter [codegen id : 1]
Input [4]: [ss_sold_date_sk#10, ss_item_sk#11, ss_store_sk#12, ss_sales_price#13]
Condition : ((((isnotnull(ss_sold_date_sk#10) AND (ss_sold_date_sk#10 >= 2452123)) AND (ss_sold_date_sk#10 <= 2452487)) AND isnotnull(ss_item_sk#11)) AND isnotnull(ss_store_sk#12))
(8) BroadcastExchange
Input [4]: [ss_sold_date_sk#10, ss_item_sk#11, ss_store_sk#12, ss_sales_price#13]
Arguments: HashedRelationBroadcastMode(List(cast(input[1, int, false] as bigint)),false), [id=#14]
(9) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [i_item_sk#1]
Right keys [1]: [ss_item_sk#11]
Join condition: None
(10) Project [codegen id : 4]
Output [4]: [i_manager_id#5, ss_sold_date_sk#10, ss_store_sk#12, ss_sales_price#13]
Input [6]: [i_item_sk#1, i_manager_id#5, ss_sold_date_sk#10, ss_item_sk#11, ss_store_sk#12, ss_sales_price#13]
(11) Scan parquet default.date_dim
Output [3]: [d_date_sk#15, d_month_seq#16, d_moy#17]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [In(d_month_seq, [1222,1228,1223,1227,1219,1226,1224,1225,1230,1220,1221,1229]), GreaterThanOrEqual(d_date_sk,2452123), LessThanOrEqual(d_date_sk,2452487), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_month_seq:int,d_moy:int>
(12) ColumnarToRow [codegen id : 2]
Input [3]: [d_date_sk#15, d_month_seq#16, d_moy#17]
(13) Filter [codegen id : 2]
Input [3]: [d_date_sk#15, d_month_seq#16, d_moy#17]
Condition : (((d_month_seq#16 INSET (1222,1228,1223,1227,1219,1226,1224,1225,1230,1220,1221,1229) AND (d_date_sk#15 >= 2452123)) AND (d_date_sk#15 <= 2452487)) AND isnotnull(d_date_sk#15))
(14) Project [codegen id : 2]
Output [2]: [d_date_sk#15, d_moy#17]
Input [3]: [d_date_sk#15, d_month_seq#16, d_moy#17]
(15) BroadcastExchange
Input [2]: [d_date_sk#15, d_moy#17]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#18]
(16) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [ss_sold_date_sk#10]
Right keys [1]: [d_date_sk#15]
Join condition: None
(17) Project [codegen id : 4]
Output [4]: [i_manager_id#5, ss_store_sk#12, ss_sales_price#13, d_moy#17]
Input [6]: [i_manager_id#5, ss_sold_date_sk#10, ss_store_sk#12, ss_sales_price#13, d_date_sk#15, d_moy#17]
(18) Scan parquet default.store
Output [1]: [s_store_sk#19]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int>
(19) ColumnarToRow [codegen id : 3]
Input [1]: [s_store_sk#19]
(20) Filter [codegen id : 3]
Input [1]: [s_store_sk#19]
Condition : isnotnull(s_store_sk#19)
(21) BroadcastExchange
Input [1]: [s_store_sk#19]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [id=#20]
(22) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [ss_store_sk#12]
Right keys [1]: [s_store_sk#19]
Join condition: None
(23) Project [codegen id : 4]
Output [3]: [i_manager_id#5, ss_sales_price#13, d_moy#17]
Input [5]: [i_manager_id#5, ss_store_sk#12, ss_sales_price#13, d_moy#17, s_store_sk#19]
(24) HashAggregate [codegen id : 4]
Input [3]: [i_manager_id#5, ss_sales_price#13, d_moy#17]
Keys [2]: [i_manager_id#5, d_moy#17]
Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#13))]
Aggregate Attributes [1]: [sum#21]
Results [3]: [i_manager_id#5, d_moy#17, sum#22]
(25) Exchange
Input [3]: [i_manager_id#5, d_moy#17, sum#22]
Arguments: hashpartitioning(i_manager_id#5, d_moy#17, 5), true, [id=#23]
(26) HashAggregate [codegen id : 5]
Input [3]: [i_manager_id#5, d_moy#17, sum#22]
Keys [2]: [i_manager_id#5, d_moy#17]
Functions [1]: [sum(UnscaledValue(ss_sales_price#13))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#13))#24]
Results [3]: [i_manager_id#5, MakeDecimal(sum(UnscaledValue(ss_sales_price#13))#24,17,2) AS sum_sales#25, MakeDecimal(sum(UnscaledValue(ss_sales_price#13))#24,17,2) AS _w0#26]
(27) Exchange
Input [3]: [i_manager_id#5, sum_sales#25, _w0#26]
Arguments: hashpartitioning(i_manager_id#5, 5), true, [id=#27]
(28) Sort [codegen id : 6]
Input [3]: [i_manager_id#5, sum_sales#25, _w0#26]
Arguments: [i_manager_id#5 ASC NULLS FIRST], false, 0
(29) Window
Input [3]: [i_manager_id#5, sum_sales#25, _w0#26]
Arguments: [avg(_w0#26) windowspecdefinition(i_manager_id#5, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#28], [i_manager_id#5]
(30) Filter [codegen id : 7]
Input [4]: [i_manager_id#5, sum_sales#25, _w0#26, avg_monthly_sales#28]
Condition : (CASE WHEN (avg_monthly_sales#28 > 0.000000) THEN CheckOverflow((promote_precision(abs(CheckOverflow((promote_precision(cast(sum_sales#25 as decimal(22,6))) - promote_precision(cast(avg_monthly_sales#28 as decimal(22,6)))), DecimalType(22,6), true))) / promote_precision(cast(avg_monthly_sales#28 as decimal(22,6)))), DecimalType(38,16), true) ELSE null END > 0.1000000000000000)
(31) Project [codegen id : 7]
Output [3]: [i_manager_id#5, sum_sales#25, avg_monthly_sales#28]
Input [4]: [i_manager_id#5, sum_sales#25, _w0#26, avg_monthly_sales#28]
(32) TakeOrderedAndProject
Input [3]: [i_manager_id#5, sum_sales#25, avg_monthly_sales#28]
Arguments: 100, [i_manager_id#5 ASC NULLS FIRST, avg_monthly_sales#28 ASC NULLS FIRST, sum_sales#25 ASC NULLS FIRST], [i_manager_id#5, sum_sales#25, avg_monthly_sales#28]