Learn performance optimization skills from TPCH tests - Q7
I Query Requirement
Q7 queries the profit of sales between the supplier country and the sales country, which identifies the volume of goods shipped between the two countries to help renegotiate the freight contracts.
Q7 is characterized by multi-table query operation with grouping, sorting, aggregation and sub-query operation. The main query of the sub-query has no other query objects, and the sub-query is relatively simple in structure.
II Oracle Execution
The query SQL written in Oracle is as follows:
select /*+ parallel(n) */
supp_nation,
cust_nation,
l_year,
sum(volume) as revenue
from
(
select
n1.n_name as supp_nation,
n2.n_name as cust_nation,
extract(year from l_shipdate) as l_year,
l_extendedprice * (1 - l_discount) as volume
from
supplier,
lineitem,
orders,
customer,
nation n1,
nation n2
where
s_suppkey = l_suppkey
and o_orderkey = l_orderkey
and c_custkey = o_custkey
and s_nationkey = n1.n_nationkey
and c_nationkey = n2.n_nationkey
and (
(n1.n_name = 'CHINA' and n2.n_name = 'RUSSIA')
or (n1.n_name = 'RUSSIA' and n2.n_name = 'CHINA')
)
and l_shipdate between date '1995-01-01' and date '1996-12-31'
) shipping
group by
supp_nation,
cust_nation,
l_year
order by
supp_nation,
cust_nation,
l_year;
Where /*+ parallel(n) */ is the parallel query syntax of Oracle, and n is the parallel number.
Script execution time, Unit: seconds
Number of parallel |
1 |
2 |
4 |
8 |
12 |
Oracle |
510 |
344 |
256 |
211 |
184 |
III SPL Optimization
The operation of the intermediate sub-query, as well as the optimization principle, is quite similar to that in Q3, which will not be repeated here.
The SPL script is as follows:
A |
|
1 |
=now() |
2 |
1995-01-01 |
3 |
1996-12-31 |
4 |
>name1="CHINA" |
5 |
>name2="RUSSIA" |
6 |
=file("nation.btx").import@b().select(N_NAME==name1 || N_NAME==name2).derive@o().keys@i(N_NATIONKEY) |
7 |
=file("supplier.ctx").open().cursor@m(S_SUPPKEY,S_NATIONKEY;S_NATIONKEY:A6).fetch().keys@im(S_SUPPKEY) |
8 |
=file("customer.ctx").open().cursor@m(C_CUSTKEY,C_NATIONKEY;C_NATIONKEY:A6).fetch().keys@im(C_CUSTKEY) |
9 |
=file("orders.ctx").open().cursor@m(O_ORDERKEY,O_CUSTKEY;O_CUSTKEY:A8) |
10 |
=file("lineitem.ctx").open().news(A9,L_ORDERKEY,L_SUPPKEY,L_EXTENDEDPRICE,L_DISCOUNT,L_SHIPDATE,O_CUSTKEY;L_SHIPDATE>=A2 && L_SHIPDATE <=A3,L_SUPPKEY:A7) |
11 |
=A10.select(O_CUSTKEY.C_NATIONKEY!=L_SUPPKEY.S_NATIONKEY) |
12 |
=A11.groups( L_SUPPKEY.S_NATIONKEY.N_NAME:supp_nation,O_CUSTKEY.C_NATIONKEY.N_NAME:cust_nation,year(L_SHIPDATE):l_year; sum(L_EXTENDEDPRICE*(1-L_DISCOUNT)): volume) |
13 |
return interval@ms(A1,now()) |
Note that the national table data A6 is used once in A7 and A8 respectively for the purpose of foreign key matching and filtering, which is different from the alias syntax in SQL.
Script execution time, Unit: seconds
Number of parallel |
1 |
2 |
4 |
8 |
12 |
Oracle |
510 |
344 |
256 |
211 |
184 |
SPL composite table |
250 |
126 |
66 |
34 |
25 |
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