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

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