达梦数据库TPCC测试记录
一、测试概述
TPC-C是专门针对联机交易处理系统（OLTP系统）的规范，一般情况下我们也把这类系统称为业务处理系统。
TPC-C测试的结果主要有两个指标，即流量指标（Throughput,简称tpmC)和性价比（Price/Performance,简称Price/tpmC)。
流量指标(Throughput,简称tpmC)：按照TPC组织的定义，流量指标描述了系统在执行支付操作、订单状态查询、发货和库存状态查询这4种交易的同时，每分钟可以处理多少个新订单交易。所有交易的响应时间必须满足TPC-C测试规范的要求，且各种交易数量所占的比例也应该满足TPC-C测试规范的要求。在这种情况下，流量指标值越大说明系统的联机事务处理能力越高。
性价比（Price/Performance,简称Price/tpmc)：即测试系统的整体价格与流量指标的比值，在获得相同的tpmC值的情况下，价格越低越好。
实验目标：完成单机版DM8数据库部署，创建TPCC测试环境，完成基础测试。
环境规划：
IP地址： 192.168.50.100
操作系统： CentOS 7.0
数据库： DM8
虚拟机： 1核/4G
软件路径规划
| Linux系统目录 |
说明 |
|
| 1 |
/dm8 |
DM8数据库安装路径 |
| /home/tpcc/benchmarksql-5.0rc2-westone-v1.2 |
TPCC目录 |
二、安装DM8数据库
1、图形化界面安装
略.
2、初始化数据库
三、TPCC测试
1、运行tpcc测试SQL脚本
创建测试用户、创建测试表
start bms5_table.sql
start bms5_index.sql测试用户：BENCHMARKSQL
测试密码：123456789
/* bms5_table.sql脚本 */
CREATE TABLESPACE BENCHMARKSQL1 DATAFILE 'BENCHMARKSQL1.dbf' SIZE 20000;
CREATE USER "BENCHMARKSQL" IDENTIFIED BY "123456789" DEFAULT TABLESPACE "BENCHMARKSQL1";
GRANT DBA TO BENCHMARKSQL;
alter tablespace "ROLL" resize datafile 'ROLL.DBF' to 1000;
alter database resize logfile 'DAMENG01.log' to 40000;
alter database resize logfile 'DAMENG02.log' to 40000;
create table BENCHMARKSQL.bmsql_config (
cfg_name varchar(30) cluster primary key,
cfg_value varchar(50)
);
create table BENCHMARKSQL.bmsql_warehouse (
w_id integer not null,
w_ytd decimal(22,2),
w_tax float,
w_name varchar(10),
w_street_1 varchar(20),
w_street_2 varchar(20),
w_city varchar(20),
w_state char(2),
w_zip char(9),
cluster primary key(w_id)
)STORAGE(FILLFACTOR 1);
create table BENCHMARKSQL.bmsql_district (
d_w_id integer not null,
d_id integer not null,
d_ytd decimal(22,2),
d_tax float,
d_next_o_id integer,
d_name varchar(10),
d_street_1 varchar(20),
d_street_2 varchar(20),
d_city varchar(20),
d_state char(2),
d_zip char(9),
cluster primary key(d_w_id, d_id)
)STORAGE(FILLFACTOR 1);
create table BENCHMARKSQL.bmsql_customer (
c_w_id integer not null,
c_d_id integer not null,
c_id integer not null,
c_discount float,
c_credit char(2),
c_last varchar(16),
c_first varchar(16),
c_credit_lim float,
c_balance float,
c_ytd_payment float,
c_payment_cnt integer,
c_delivery_cnt integer,
c_street_1 varchar(20),
c_street_2 varchar(20),
c_city varchar(20),
c_state char(2),
c_zip char(9),
c_phone char(16),
c_since timestamp,
c_middle char(2),
c_data varchar(500),
cluster primary key(c_w_id, c_d_id, c_id)
);
create table BENCHMARKSQL.bmsql_history (
hist_id integer,
h_c_id integer,
h_c_d_id integer,
h_c_w_id integer,
h_d_id integer,
h_w_id integer,
h_date timestamp,
h_amount float,
h_data varchar(24)
)storage(branch(32,32),without counter);
create table BENCHMARKSQL.bmsql_oorder (
o_w_id integer not null,
o_d_id integer not null,
o_id integer not null,
o_c_id integer,
o_carrier_id integer,
o_ol_cnt float,
o_all_local float,
o_entry_d timestamp,
cluster primary key(o_w_id, o_d_id, o_id)
)storage(without counter);
create table BENCHMARKSQL.bmsql_new_order (
no_w_id integer not null,
no_d_id integer not null,
no_o_id integer not null,
cluster primary key(no_w_id, no_d_id, no_o_id)
)storage(without counter);
create table BENCHMARKSQL.bmsql_order_line (
ol_w_id integer not null,
ol_d_id integer not null,
ol_o_id integer not null,
ol_number integer not null,
ol_i_id integer not null,
ol_delivery_d timestamp,
ol_amount float,
ol_supply_w_id integer,
ol_quantity float,
ol_dist_info char(24),
cluster primary key(ol_w_id, ol_d_id, ol_o_id, ol_number)
)storage(without counter);
create table BENCHMARKSQL.bmsql_stock (
s_w_id integer not null,
s_i_id integer not null,
s_quantity float,
s_ytd float,
s_order_cnt integer,
s_remote_cnt integer,
s_data varchar(50),
s_dist_01 char(24),
s_dist_02 char(24),
s_dist_03 char(24),
s_dist_04 char(24),
s_dist_05 char(24),
s_dist_06 char(24),
s_dist_07 char(24),
s_dist_08 char(24),
s_dist_09 char(24),
s_dist_10 char(24),
cluster primary key(s_w_id, s_i_id)
);
create table BENCHMARKSQL.bmsql_item (
i_id integer not null,
i_name varchar(24),
i_price float,
i_data varchar(50),
i_im_id integer,
cluster primary key(i_id)
);/* bms5_index.sql 脚本 */
create index ndx_customer_name on BENCHMARKSQL.BMSQL_customer (c_w_id, c_d_id, c_last, c_first);
create or replace procedure BENCHMARKSQL.createsequence
as
n int;
stmt1 varchar(200);
begin
select count(*)+1 into n from BMSQL_history;
if(n != 1) then
select max(hist_id) + 1 into n from BMSQL_history;
end if;
PRINT n;
stmt1:='create sequence hist_id_seq start with '||n||' MAXVALUE 9223372036854775807 CACHE 50000;';
EXECUTE IMMEDIATE stmt1;
end;
/
call BENCHMARKSQL.createsequence;
alter table BENCHMARKSQL.BMSQL_history modify hist_id integer default (BENCHMARKSQL.hist_id_seq.nextval);
2、修改确认props.dm配置文件
在./run目录下配置props.dm
3、执行数据装载工具装载数据
./runLoader.sh props.dm numWarehouses 10
4、执行测试工具
./runBenchmark.sh props.dm
或后台执行：nohup ./runBenchmark.sh props.dm > /dev/null 2>&1 &
5、测试结果：
测试完成后的结果会保存在run文件夹下的“my_result_时间”文件夹中。
6、测试结束后清理
进入run目录，在终端下执行
./runSQL.sh props.dm indexDrops
./runSQL.sh props.dm tableTruncates
./runSQL.sh props.dm tableDrops
更多技术内容请访问社区：https://eco.dameng.com