- 目的及原理
TPCH是由TPC(Transaction Processing Performance Council)事务处理性能委员会公布的一套针对数据库决策支持能力的测试基准，通过模拟数据库中与业务相关的复杂查询考察数据库的综合处理能力，获取数据库操作的响应时间。
TPCH基准模型中定义了一个数据库模型，容量可以在1GB~10000GB的8个级别中进行选择。数据库模型包括CUSTOMER、LINEITEM、NATION、ORDERS、PART、PARTSUPP、REGION和SUPPLIER 共8张数据表，以及22条SQL查询语句，可以较完整地测试数据库的运算性能。
- 测试流程
- 生成数据：
使用dbgen生成10G的数据
./dbgen -s 10
可参考帮助./dbgen –help
-
- 创建表结构
drop table customer;
drop table lineitem;
drop table nation;
drop table orders;
drop table part;
drop table partsupp;
drop table region;
drop table supplier;
create huge table CUSTOMER
(
C_CUSTKEY int not null,
C_NAME varchar(25) not null,
C_ADDRESS varchar(40) not null,
C_NATIONKEY int not null,
C_PHONE char(15) not null,
C_ACCTBAL float not null,
C_MKTSEGMENT char(10) not null,
C_COMMENT varchar(117) not null,
primary key (C_CUSTKEY)
);
create huge table LINEITEM
(
L_ORDERKEY int not null,
L_PARTKEY int not null,
L_SUPPKEY int not null,
L_LINENUMBER int not null,
L_QUANTITY float not null,
L_EXTENDEDPRICE float not null,
L_DISCOUNT float not null,
L_TAX float not null,
L_RETURNFLAG char(1) not null,
L_LINESTATUS char(1) not null,
L_SHIPDATE date not null,
L_COMMITDATE date not null,
L_RECEIPTDATE date not null,
L_SHIPINSTRUCT char(25) not null,
L_SHIPMODE char(10) not null,
L_COMMENT varchar(44) not null,
primary key(L_ORDERKEY , L_LINENUMBER)
);
create huge table NATION
(
N_NATIONKEY int not null,
N_NAME char(25) not null,
N_REGIONKEY int not null,
N_COMMENT varchar(152) not null,
primary key (N_NATIONKEY)
);
create huge table ORDERS
(
O_ORDERKEY int not null,
O_CUSTKEY int not null,
O_ORDERSTATUS char(1) not null,
O_TOTALPRICE float not null,
O_ORDERDATE date not null,
O_ORDERPRIORITY char(15) not null,
O_CLERK char(15) not null,
O_SHIPPRIORITY integer not null,
O_COMMENT varchar(79) not null,
primary key(O_ORDERKEY)
);
create huge table part
(
P_PARTKEY int not null,
P_NAME varchar(55) not null,
P_MFGR char(25) not null,
P_BRAND char(10) not null,
P_TYPE varchar(25) not null,
P_SIZE int not null,
P_CONTAINER char(10) not null,
P_RETAILPRICE float not null,
P_COMMENT varchar(23) not null,
primary key (P_PARTKEY)
);
create huge table PARTSUPP
(
PS_PARTKEY int not null,
PS_SUPPKEY int not null,
PS_AVAILQTY int not null,
PS_SUPPLYCOST float not null,
PS_COMMENT varchar(199) not null,
primary key (PS_PARTKEY , PS_SUPPKEY)
);
create huge table REGION
(
R_REGIONKEY int not null,
R_NAME char(25) not null,
R_COMMENT varchar(152) not null,
primary key (R_REGIONKEY)
);
create huge table SUPPLIER
(
S_SUPPKEY int not null,
S_NAME char(25) not null,
S_ADDRESS varchar(40) not null,
S_NATIONKEY int not null,
S_PHONE char(15) not null,
S_ACCTBAL float not null,
S_COMMENT varchar(101) not null,
primary key (S_SUPPKEY)
);
-
- 加载数据
修改相应dmfldr控制文件中infile和badfile
使用dmfldr导入数据
dmfldr userid=sysdba/SYSDBA:5236 control=\’customer.ctrl\’
dmfldr userid=sysdba/SYSDBA:5236 control=\’lineitem.ctrl\’
dmfldr userid=sysdba/SYSDBA:5236 control=\’nation.ctrl\’
dmfldr userid=sysdba/SYSDBA:5236 control=\’orders.ctrl\’
dmfldr userid=sysdba/SYSDBA:5236 control=\’part.ctrl\’
dmfldr userid=sysdba/SYSDBA:5236 control=\’partsupp.ctrl\’
dmfldr userid=sysdba/SYSDBA:5236 control=\’region.ctrl\’
dmfldr userid=sysdba/SYSDBA:5236 control=\’supplier.ctrl\’
-
- 更新统计信息
–删除表上所有列的统计信息
CALL SP_TAB_COL_STAT_DEINIT (‘SYSDBA’, ‘CUSTOMER’);
CALL SP_TAB_COL_STAT_DEINIT (‘SYSDBA’, ‘LINEITEM’);
CALL SP_TAB_COL_STAT_DEINIT (‘SYSDBA’, ‘NATION’);
CALL SP_TAB_COL_STAT_DEINIT (‘SYSDBA’, ‘ORDERS’);
CALL SP_TAB_COL_STAT_DEINIT (‘SYSDBA’, ‘PART’);
CALL SP_TAB_COL_STAT_DEINIT (‘SYSDBA’, ‘PARTSUPP’);
CALL SP_TAB_COL_STAT_DEINIT (‘SYSDBA’, ‘REGION’);
CALL SP_TAB_COL_STAT_DEINIT (‘SYSDBA’, ‘SUPPLIER’);
–删除表的统计信息
CALL SP_TAB_STAT_DEINIT (‘SYSDBA’, ‘CUSTOMER’);
CALL SP_TAB_STAT_DEINIT (‘SYSDBA’, ‘LINEITEM’);
CALL SP_TAB_STAT_DEINIT (‘SYSDBA’, ‘NATION’);
CALL SP_TAB_STAT_DEINIT (‘SYSDBA’, ‘ORDERS’);
CALL SP_TAB_STAT_DEINIT (‘SYSDBA’, ‘PART’);
CALL SP_TAB_STAT_DEINIT (‘SYSDBA’, ‘PARTSUPP’);
CALL SP_TAB_STAT_DEINIT (‘SYSDBA’, ‘REGION’);
CALL SP_TAB_STAT_DEINIT (‘SYSDBA’, ‘SUPPLIER’);
–更新统计信息
SP_TAB_STAT_INIT(‘SYSDBA’,’REGION’);
SP_TAB_STAT_INIT(‘SYSDBA’,’NATION’);
SP_TAB_STAT_INIT(‘SYSDBA’,’PART’);
SP_TAB_STAT_INIT(‘SYSDBA’,’PARTSUPP’);
SP_TAB_STAT_INIT(‘SYSDBA’,’SUPPLIER’);
SP_TAB_STAT_INIT(‘SYSDBA’,’CUSTOMER’);
SP_TAB_STAT_INIT(‘SYSDBA’,’ORDERS’);
SP_TAB_STAT_INIT(‘SYSDBA’,’LINEITEM’);
STAT 100 ON REGION(R_NAME) ;
STAT 100 ON REGION(R_REGIONKEY) ;
STAT 100 ON NATION(N_NAME) ;
STAT 100 ON NATION(N_NATIONKEY) ;
STAT 100 ON NATION(N_REGIONKEY) ;
STAT 100 ON SUPPLIER(S_SUPPKEY) ;
STAT 100 ON SUPPLIER(S_NATIONKEY) ;
STAT 100 ON SUPPLIER(S_COMMENT) ;
STAT 100 ON PART(P_SIZE);
STAT 100 ON PART(P_BRAND);
STAT 100 ON PART(P_TYPE);
STAT 100 ON PART(P_NAME);
STAT 100 ON PART(P_PARTKEY);
STAT 100 ON PART(P_CONTAINER);
STAT 100 ON PARTSUPP(PS_SUPPKEY);
STAT 100 ON PARTSUPP(PS_PARTKEY);
STAT 100 ON ORDERS(O_ORDERKEY);
STAT 100 ON ORDERS(O_ORDERDATE);
STAT 100 ON ORDERS(O_ORDERSTATUS);
STAT 100 ON ORDERS(O_ORDERPRIORITY);
STAT 100 ON ORDERS(O_CUSTKEY);
STAT 100 ON ORDERS(O_COMMENT);
STAT 100 ON LINEITEM(L_SUPPKEY);
STAT 100 ON LINEITEM(L_PARTKEY);
STAT 100 ON LINEITEM(L_ORDERKEY);
STAT 100 ON LINEITEM(L_SHIPDATE);
STAT 100 ON LINEITEM(L_SHIPMODE);
STAT 100 ON LINEITEM(L_COMMITDATE);
STAT 100 ON LINEITEM(L_RECEIPTDATE);
STAT 100 ON LINEITEM(L_RETURNFLAG);
STAT 100 ON LINEITEM(L_LINESTATUS);
STAT 100 ON LINEITEM(L_QUANTITY);
STAT 100 ON LINEITEM(L_SHIPINSTRUCT);
STAT 100 ON CUSTOMER(C_CUSTKEY);
STAT 100 ON CUSTOMER(C_MKTSEGMENT);
STAT 100 ON CUSTOMER(C_NATIONKEY);
STAT 100 ON CUSTOMER(C_ACCTBAL);
-
- 查询验证
–Q1(LINEITEM)
select
l_returnflag,
l_linestatus,
sum(l_quantity) as sum_qty,
sum(l_extendedprice) as sum_base_price,
sum(l_extendedprice*(1-l_discount)) as sum_disc_price,
sum(l_extendedprice*(1-l_discount)*(1+l_tax)) as sum_charge,
avg(l_quantity) as avg_qty,
avg(l_extendedprice) as avg_price,
avg(l_discount) as avg_disc,
count(*) as count_order
from lineitem
where l_shipdate <= date’1998-12-01′ – interval ’90’ day
group by l_returnflag, l_linestatus
order by l_returnflag, l_linestatus;
–Q2
select TOP 100
s_acctbal, s_name,
n_name, p_partkey, p_mfgr,
s_address, s_phone, s_comment
from part, supplier, partsupp, nation, region
where p_partkey = ps_partkey
and s_suppkey = ps_suppkey
and p_size = 15
and p_type like ‘%BRASS’
and s_nationkey = n_nationkey
and n_regionkey = r_regionkey
and r_name = ‘EUROPE’
and ps_supplycost =
( select min(ps_supplycost)
from partsupp, supplier, nation, region
where p_partkey = ps_partkey
and s_suppkey = ps_suppkey
and s_nationkey = n_nationkey
and n_regionkey = r_regionkey
and r_name = ‘EUROPE’ )
order by s_acctbal desc, n_name, s_name, p_partkey;
–Q3
select TOP 10
l_orderkey,
sum(l_extendedprice*(1-l_discount)) as revenue,
o_orderdate,
o_shippriority
from customer, orders, lineitem
where c_mktsegment = ‘BUILDING’
and c_custkey = o_custkey
and l_orderkey = o_orderkey
and o_orderdate < date’1995-03-15′
and l_shipdate > date’1995-03-15′
group by l_orderkey, o_orderdate, o_shippriority
order by revenue desc, o_orderdate;
–Q4
select
o_orderpriority,
count(*) as order_count
from orders
where o_orderdate >= date’1993-07-01′
and o_orderdate < date ‘1993-07-01’ + interval ‘3’ month
and exists
(select *
from lineitem
where l_orderkey = o_orderkey
and l_commitdate < l_receiptdate )
group by o_orderpriority
order by o_orderpriority;
–Q5
select
n_name,
sum(l_extendedprice * (1 – l_discount)) as revenue
from customer, orders, lineitem, supplier, nation, region
where c_custkey = o_custkey
and l_orderkey = o_orderkey
and l_suppkey = s_suppkey
and c_nationkey = s_nationkey
and s_nationkey = n_nationkey
and n_regionkey = r_regionkey
and r_name = ‘ASIA’
and o_orderdate >= date’1994-01-01′
and o_orderdate < date ‘1994-01-01’ + interval ‘1’ year
group by n_name
order by revenue desc;
–Q6
select
sum(l_extendedprice*l_discount) as revenue
from lineitem
where l_shipdate >= ‘1994-01-01’
and l_shipdate < dateadd(year,1, ‘1994-01-01’)
and l_discount between 0.06 – 0.01
and 0.06 + 0.01
and l_quantity < 24;
–Q7
select
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 = ‘FRANCE’ and n2.n_name = ‘GERMANY’) or (n1.n_name = ‘GERMANY’ and n2.n_name = ‘FRANCE’) )
and l_shipdate between date’1995-01-01′ and date’1996-12-31′ ) as shipping
group by supp_nation, cust_nation, l_year
order by supp_nation, cust_nation, l_year;
–Q8
select
o_year,
sum(case when nation = ‘BRAZIL’ then volume else 0 end) / sum(volume) as mkt_share
from ( select extract(year from o_orderdate) as o_year,
l_extendedprice * (1-l_discount) as volume,
n2.n_name as nation
from part, supplier, lineitem, orders, customer, nation n1, nation n2, region
where p_partkey = l_partkey
and s_suppkey = l_suppkey
and l_orderkey = o_orderkey
and o_custkey = c_custkey
and c_nationkey = n1.n_nationkey
and n1.n_regionkey = r_regionkey
and r_name = ‘AMERICA’
and s_nationkey = n2.n_nationkey
and o_orderdate between date ‘1995-01-01’
and date ‘1996-12-31’
and p_type = ‘ECONOMY ANODIZED STEEL’ ) as all_nations
group by o_year
order by o_year;
–Q9
select
nation,
o_year,
sum(amount) as sum_profit
from ( select n_name as nation,
extract(year from o_orderdate) as o_year,
l_extendedprice * (1 – l_discount) – ps_supplycost * l_quantity as amount
from part, supplier, lineitem, partsupp, orders, nation
where s_suppkey = l_suppkey
and ps_suppkey = l_suppkey
and ps_partkey = l_partkey
and p_partkey = l_partkey
and o_orderkey = l_orderkey
and s_nationkey = n_nationkey
and p_name like ‘%green%’ ) as profit
group by nation, o_year
order by nation, o_year desc;
–Q10
select top 20
c_custkey,
c_name,
sum(l_extendedprice * (1 – l_discount)) as revenue,
c_acctbal,
n_name,
c_address, c_phone,
c_comment
from customer, orders, lineitem, nation
where c_custkey = o_custkey
and l_orderkey = o_orderkey
and o_orderdate >= date’1993-10-01′
and o_orderdate < date’1993-10-01′ + interval ‘3’ month
and l_returnflag = ‘R’
and c_nationkey = n_nationkey
group by c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment
order by revenue desc;
–Q11
select
ps_partkey,
sum(ps_supplycost * ps_availqty) as valuess
from partsupp, supplier, nation
where ps_suppkey = s_suppkey
and s_nationkey = n_nationkey
and n_name = ‘GERMANY’
group by ps_partkey
having sum(ps_supplycost * ps_availqty) > ( select sum(ps_supplycost * ps_availqty) * 0.0001
from partsupp, supplier, nation
where ps_suppkey = s_suppkey
and s_nationkey = n_nationkey
and n_name = ‘GERMANY’ )
order by valuess desc;
–Q12
select
l_shipmode,
sum(case when o_orderpriority =’1-URGENT’ or o_orderpriority =’2-HIGH’ then 1 else 0 end) as high_line_count,
sum(case when o_orderpriority <> ‘1-URGENT’ and o_orderpriority <> ‘2-HIGH’ then 1 else 0 end) as low_line_count
from orders, lineitem
where o_orderkey = l_orderkey
and l_shipmode in (‘MAIL’, ‘SHIP’)
and l_commitdate < l_receiptdate
and l_shipdate < l_commitdate
and l_receiptdate >= date ‘1994-01-01’
and l_receiptdate < date ‘1994-01-01’ + interval ‘1’ year
group by l_shipmode
order by l_shipmode;
–Q13
select
c_count,
count(*) as custdist
from ( select c_custkey,
count(o_orderkey)
from customer left outer join orders on c_custkey = o_custkey
and o_comment not like ‘%special%requests%’
group by c_custkey )as c_orders (c_custkey, c_count)
group by c_count
order by custdist desc, c_count desc;
–Q14
select
100.00 * sum(case when p_type like ‘PROMO%’
then l_extendedprice*(1-l_discount)
else 0 end) / sum(l_extendedprice * (1 – l_discount)) as promo_revenue
from lineitem, part
where l_partkey = p_partkey
and l_shipdate >= date ‘1995-09-01’
and l_shipdate < date’1995-09-01′ + interval ‘1’ month;
–Q15
create view revenue (supplier_no, total_revenue) as
select l_suppkey, sum(l_extendedprice * (1 – l_discount)) from lineitem
where l_shipdate >= date ‘1996-01-01’ and l_shipdate < date ‘1996-01-01’ + interval ‘3’ month group by l_suppkey;
select
s_suppkey,
s_name,
s_address,
s_phone,
total_revenue
from supplier, revenue
where s_suppkey = supplier_no
and total_revenue =
( select max(total_revenue) from revenue ) order by s_suppkey;
drop view revenue;
–Q16
select
p_brand,
p_type,
p_size,
count(distinct ps_suppkey) as supplier_cnt
from partsupp, part
where p_partkey = ps_partkey
and p_brand <> ‘Brand#45’
and p_type not like ‘MEDIUM POLISHED%’
and p_size in (49, 14, 23, 45, 19, 3, 36, 9)
and ps_suppkey not in ( select s_suppkey
from supplier
where s_comment like ‘%Customer%Complaints%’ )
group by p_brand, p_type, p_size
order by supplier_cnt desc, p_brand, p_type, p_size;
–Q17
select
sum(l_extendedprice) / 7.0 as avg_yearly
from lineitem, part
where p_partkey = l_partkey
and p_brand = ‘Brand#23’
and p_container = ‘MED BOX’
and l_quantity < ( select 0.2 * avg(l_quantity) from lineitem where l_partkey = p_partkey );
–Q18
select top 100
c_name,
c_custkey,
o_orderkey,
o_orderdate,
o_totalprice,
sum(l_quantity)
from customer, orders, lineitem
where o_orderkey in ( select l_orderkey
from lineitem
group by l_orderkey
having sum(l_quantity) > 300 )
and c_custkey = o_custkey
and o_orderkey = l_orderkey
group by c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice
order by o_totalprice desc, o_orderdate;
–Q19
select
sum(l_extendedprice * (1 – l_discount) ) as revenue
from lineitem, part
where ( p_partkey = l_partkey
and p_brand = ‘Brand#12’
and p_container in ( ‘SM CASE’, ‘SM BOX’, ‘SM PACK’, ‘SM PKG’)
and l_quantity >= 1
and l_quantity <= 1 + 10
and p_size between 1 and 5
and l_shipmode in (‘AIR’, ‘AIR REG’)
and l_shipinstruct = ‘DELIVER IN PERSON’ )
or ( p_partkey = l_partkey and p_brand = ‘Brand#23’
and p_container in (‘MED BAG’, ‘MED BOX’, ‘MED PKG’, ‘MED PACK’)
and l_quantity >= 10
and l_quantity <= 10 + 10
and p_size between 1 and 10
and l_shipmode in (‘AIR’, ‘AIR REG’)
and l_shipinstruct = ‘DELIVER IN PERSON’ )
or ( p_partkey = l_partkey
and p_brand = ‘Brand#34’
and p_container in ( ‘LG CASE’, ‘LG BOX’, ‘LG PACK’, ‘LG PKG’)
and l_quantity >= 20
and l_quantity <= 20 + 10
and p_size between 1 and 15
and l_shipmode in (‘AIR’, ‘AIR REG’)
and l_shipinstruct = ‘DELIVER IN PERSON’ );
–Q20
select
s_name,
s_address
from supplier, nation
where s_suppkey in ( select ps_suppkey from partsupp
where ps_partkey in ( select p_partkey from part where p_name like ‘forest%’ )
and ps_availqty > ( select 0.5 * sum(l_quantity) from lineitem where l_partkey = ps_partkey
and l_suppkey = ps_suppkey
and l_shipdate >= date ‘1994-01-01’
and l_shipdate < date ‘1994-01-01’ + interval ‘1’ year )
)
and s_nationkey = n_nationkey
and n_name = ‘CANADA’
order by s_name;
–Q21
select top 100
s_name,
count(*) as numwait
from supplier, lineitem l1, orders, nation
where s_suppkey = l1.l_suppkey and o_orderkey = l1.l_orderkey
and o_orderstatus = ‘F’
and l1.l_receiptdate > l1.l_commitdate
and exists ( select * from lineitem l2
where l2.l_orderkey = l1.l_orderkey
and l2.l_suppkey <> l1.l_suppkey )
and not exists ( select * from lineitem l3
where l3.l_orderkey = l1.l_orderkey
and l3.l_suppkey <> l1.l_suppkey
and l3.l_receiptdate > l3.l_commitdate )
and s_nationkey = n_nationkey
and n_name = ‘SAUDI ARABIA’
group by s_name
order by numwait desc, s_name;
–Q22
select
cntrycode,
count(*) as numcust,
sum(c_acctbal) as totacctbal
from ( select substring(c_phone from 1 for 2) as cntrycode, c_acctbal
from customer
where substring(c_phone from 1 for 2) in (’13’,’31’,’23’,’29’,’30’,’18’,’17’)
and c_acctbal > ( select avg(c_acctbal) from customer where c_acctbal > 0.00
and substring (c_phone from 1 for 2) in (’13’,’31’,’23’,’29’,’30’,’18’,’17’)
)
and not exists ( select * from orders where o_custkey = c_custkey )
) as custsale
group by cntrycode
order by cntrycode;
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