【原创】mysqlslap 使用总结

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简介:

      mysqlslap 可以用于模拟服务器的负载,并输出计时信息。其被包含在 MySQL 5.1 的发行包中。测试时,可以指定并发连接数,可以指定 SQL 语句。如果没有指定 SQL 语句,mysqlslap 会自动生成查询 schema 的 SELECT 语句。  


1. 查看帮助信息。  
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[root@Betty libmysql] # mysqlslap --help
mysqlslap  Ver 1.0 Distrib 5.6.10, for Linux (x86_64)
Copyright (c) 2005, 2013, Oracle and /or its affiliates. All rights reserved.
 
Oracle is a registered trademark of Oracle Corporation and /or its
affiliates. Other names may be trademarks of their respective
owners.
 
Run a query multiple times against the server.
 
Usage: mysqlslap [OPTIONS]
 
Default options are read from the following files in the given order:
/etc/my .cnf /etc/mysql/my .cnf /usr/local/mysql/etc/my .cnf ~/.my.cnf
The following groups are read : mysqlslap client
The following options may be given as the first argument:
--print-defaults        Print the program argument list and exit .
--no-defaults           Don't read default options from any option file ,
                         except for login file .
--defaults- file = #       Only read default options from the given file #.
--defaults-extra- file = # Read this file after the global files are read.
--defaults-group-suffix= #
                         Also read groups with concat(group, suffix)
--login-path= #          Read this path from the login file.
   -?, --help          Display this help and exit .
   -a, --auto-generate-sql 自动生成测试表和数据
                       Generate SQL where not supplied by file or command line.
   --auto-generate-sql-add-autoincrement 增加auto_increment一列
                       Add an AUTO_INCREMENT column to auto-generated tables.
   --auto-generate-sql-execute-number= # 自动生成的查询的个数
                       Set this number to generate a set number of queries to
                       run.
   --auto-generate-sql-guid-primary 增加基于GUID的主键
                       Add GUID based primary keys to auto-generated tables.
   --auto-generate-sql-load- type =name 测试语句的类型。取值包括: read ,key,write,update和mixed(默认)
                       read :查询 write:插入 key:读主键 update:更新主键 mixed:一半插入一半查询
                       Specify test load type : mixed, update, write, key, or
                       read ; default is mixed.
   --auto-generate-sql-secondary-indexes= # 增加二级索引的个数,默认是0
                       Number of secondary indexes to add to auto-generated
                       tables.
   --auto-generate-sql-unique-query-number= # 不同查询的数量,默认值是10
                       Number of unique queries to generate for automatic tests.
   --auto-generate-sql-unique-write-number= # 不同插入的数量,默认是100
                       Number of unique queries to generate for
                       auto-generate-sql-write-number.
   --auto-generate-sql-write-number= #
                       Number of row inserts to perform for each thread (default
                       is 100).
   --commit= #          多少条DML后提交一次
                       Commit records every X number of statements.
   -C, --compress      如果服务器和客户端支持都压缩,则压缩信息传递
                       Use compression in server /client protocol.
   -c, --concurrency=name 模拟N个客户端并发执行 select 。可指定多个值,以逗号或者 --delimiter 参数指定的值做为分隔符
                       Number of clients to simulate for query to run.
   --create=name       指定用于创建表的.sql文件或者字串
                       File or string to use create tables.
   --create-schema=name 指定待测试的数据库名,MySQL中schema也就是database,默认是mysqlslap
                       Schema to run tests in .
   --csv[=name]        Generate CSV output to named file or to stdout if no file
                       is named.
   - #, --debug[=#]     This is a non-debug version. Catch this and exit.
   --debug-check       Check memory and open file usage at exit .
   -T, --debug-info    打印内存和CPU的信息
                       Print some debug info at exit .
   --default-auth=name Default authentication client-side plugin to use.
   -F, --delimiter=name 文件中的SQL语句使用分割符号
                       Delimiter to use in SQL statements supplied in file or
                       command line.
   --detach= #          每执行完N个语句,先断开再重新打开连接
                       Detach (close and reopen) connections after X number of
                       requests.
   -- enable -cleartext-plugin
                       Enable /disable the clear text authentication plugin.
   -e, --engine=name   创建测试表所使用的存储引擎,可指定多个
                       Storage engine to use for creating the table.
   -h, --host=name     Connect to host.
   -i, --iterations= #  迭代执行的次数
                       Number of times to run the tests.
   --no-drop           Do not drop the schema after the test .
   -x, --number-char-cols=name 自动生成的测试表中包含多少个字符类型的列,默认1
                       Number of VARCHAR columns to create in table if
                       specifying --auto-generate-sql.
   -y, --number-int-cols=name 自动生成的测试表中包含多少个数字类型的列,默认1
                       Number of INT columns to create in table if specifying
                       --auto-generate-sql.
   --number-of-queries= # 总的测试查询次数(并发客户数×每客户查询次数)
                       Limit each client to this number of queries (this is not
                       exact).
   --only-print        只输出模拟执行的结果,不实际执行
                       Do not connect to the databases, but instead print out
                       what would have been done .
   -p, --password[=name]
                       Password to use when connecting to server. If password is
                       not given it's asked from the tty .
   --plugin- dir =name   Directory for client-side plugins.
   -P, --port= #        Port number to use for connection.
   --post-query=name   测试完成以后执行的SQL语句的文件或者字符串 这个过程不影响时间计算
                       Query to run or file containing query to execute after
                       tests have completed.
   --post-system=name  测试完成以后执行的系统语句 这个过程不影响时间计算
                       system() string to execute after tests have completed.
   --pre-query=name    测试执行之前执行的SQL语句的文件或者字符串 这个过程不影响时间计算
                       Query to run or file containing query to execute before
                       running tests.
   --pre-system=name   测试执行之前执行的系统语句 这个过程不影响时间计算
                       system() string to execute before running tests.
   --protocol=name     The protocol to use for connection (tcp, socket, pipe,
                       memory).
   -q, --query=name    指定自定义.sql脚本执行测试。例如可以调用自定义的一个存储过程或者sql语句来执行测试
                       Query to run or file containing query to run.
   -s, --silent        不输出
                       Run program in silent mode - no output.
   -S, --socket=name   The socket file to use for connection.
   --ssl               Enable SSL for connection (automatically enabled with
                       other flags).
   --ssl-ca=name       CA file in PEM format (check OpenSSL docs, implies
                       --ssl).
   --ssl-capath=name   CA directory (check OpenSSL docs, implies --ssl).
   --ssl-cert=name     X509 cert in PEM format (implies --ssl).
   --ssl-cipher=name   SSL cipher to use (implies --ssl).
   --ssl-key=name      X509 key in PEM format (implies --ssl).
   --ssl-crl=name      Certificate revocation list (implies --ssl).
   --ssl-crlpath=name  Certificate revocation list path (implies --ssl).
   --ssl-verify-server-cert
                       Verify server's "Common Name" in its cert against
                       hostname used when connecting. This option is disabled by
                       default.
   -u, --user=name     User for login if not current user.
   - v , --verbose       输出更多的信息
                       More verbose output; you can use this multiple times to
                       get even more verbose output.
   -V, --version       Output version information and exit .
[root@Betty libmysql] #

2. 以自动生成测试表和数据的形式,分别模拟 50 和 100 个客户端并发连接处理 1000 个 query 的情况。  
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[root@Betty libmysql] # mysqlslap -a --concurrency=50,100 --number-of-queries=1000            
Benchmark
         Average number of seconds to run all queries: 0.148 seconds
         Minimum number of seconds to run all queries: 0.148 seconds
         Maximum number of seconds to run all queries: 0.148 seconds
         Number of clients running queries: 50
         Average number of queries per client: 20
 
Benchmark
         Average number of seconds to run all queries: 0.246 seconds
         Minimum number of seconds to run all queries: 0.246 seconds
         Maximum number of seconds to run all queries: 0.246 seconds
         Number of clients running queries: 100
         Average number of queries per client: 10
 
[root@Betty libmysql] #

3.    增加 --debug-info 选项,可以输出内存和CPU信息。  
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[root@Betty libmysql] # mysqlslap -a --concurrency=50,100 --number-of-queries=1000 --debug-info
Benchmark
         Average number of seconds to run all queries: 0.202 seconds
         Minimum number of seconds to run all queries: 0.202 seconds
         Maximum number of seconds to run all queries: 0.202 seconds
         Number of clients running queries: 50
         Average number of queries per client: 20
 
Benchmark
         Average number of seconds to run all queries: 0.193 seconds
         Minimum number of seconds to run all queries: 0.193 seconds
         Maximum number of seconds to run all queries: 0.193 seconds
         Number of clients running queries: 100
         Average number of queries per client: 10
 
 
User time 0.09, System time 0.05
Maximum resident set size 7848, Integral resident set size 0
Non-physical pagefaults 4221, Physical pagefaults 0, Swaps 0
Blocks in 0 out 0, Messages in 0 out 0, Signals 0
Voluntary context switches 7314, Involuntary context switches 1400

4. 增加 --iterations 选项,可以   重复执行 5 次  
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[root@Betty libmysql] #
[root@Betty libmysql] # mysqlslap -a --concurrency=50,100 --number-of-queries=1000 --iterations=5 --debug-info
Benchmark
         Average number of seconds to run all queries: 0.168 seconds
         Minimum number of seconds to run all queries: 0.147 seconds
         Maximum number of seconds to run all queries: 0.217 seconds
         Number of clients running queries: 50
         Average number of queries per client: 20
 
Benchmark
         Average number of seconds to run all queries: 0.209 seconds
         Minimum number of seconds to run all queries: 0.156 seconds
         Maximum number of seconds to run all queries: 0.280 seconds
         Number of clients running queries: 100
         Average number of queries per client: 10
 
 
User time 0.47, System time 0.25
Maximum resident set size 9848, Integral resident set size 0
Non-physical pagefaults 16880, Physical pagefaults 0, Swaps 0
Blocks in 0 out 0, Messages in 0 out 0, Signals 0
Voluntary context switches 35954, Involuntary context switches 6583
[root@Betty libmysql] #

5. 可以   针对远程主机上的 mysql 进行测试。  
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[root@Betty Shell] # mysqlslap -a --concurrency=50,100 --number-of-queries=1000 -h 172.16.81.99 -P 3306 -p
Enter password:
Benchmark
         Average number of seconds to run all queries: 2.009 seconds
         Minimum number of seconds to run all queries: 2.009 seconds
         Maximum number of seconds to run all queries: 2.009 seconds
         Number of clients running queries: 50
         Average number of queries per client: 20
 
Benchmark
         Average number of seconds to run all queries: 4.519 seconds
         Minimum number of seconds to run all queries: 4.519 seconds
         Maximum number of seconds to run all queries: 4.519 seconds
         Number of clients running queries: 100
         Average number of queries per client: 10
 
[root@Betty Shell] #

6. 使用 --only-print 选项,可以查看 mysqlslap 在测试过程中如何执行的 sql 语句。在这种方式下,仅会对数据库进行模拟操作。如下显示的自动产生测试表和数据的情况下,mysqlslap 的执行过程:   创建一个临时的库 mysqlslap ,并在测试结束是会将其删除。  
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[root@Betty libmysql] # mysqlslap -a --only-print                                             
DROP SCHEMA IF EXISTS `mysqlslap`;
CREATE SCHEMA `mysqlslap`;
use mysqlslap;
CREATE TABLE `t1` (intcol1 INT(32) ,charcol1 VARCHAR(128));
INSERT INTO t1 VALUES (1804289383, 'mxvtvmC9127qJNm06sGB8R92q2j7vTiiITRDGXM9ZLzkdekbWtmXKwZ2qG1llkRw5m9DHOFilEREk3q7oce8O3BEJC0woJsm6uzFAEynLH2xCsw1KQ1lT4zg9rdxBL' );
INSERT INTO t1 VALUES (822890675, '97RGHZ65mNzkSrYT3zWoSbg9cNePQr1bzSk81qDgE4Oanw3rnPfGsBHSbnu1evTdFDe83ro9w4jjteQg4yoo9xHck3WNqzs54W5zEm92ikdRF48B2oz3m8gMBAl11W' );
INSERT INTO t1 VALUES (1308044878, '50w46i58Giekxik0cYzfA8BZBLADEg3JhzGfZDoqvQQk0Akcic7lcJInYSsf9wqin6LDC1vzJLkJXKn5onqOy04MTw1WksCYqPl2Jg2eteqOqTLfGCvE4zTZwWvgMz' );
INSERT INTO t1 VALUES (964445884, 'DPh7kD1E6f4MMQk1ioopsoIIcoD83DD8Wu7689K6oHTAjD3Hts6lYGv8x9G0EL0k87q8G2ExJjz2o3KhnIJBbEJYFROTpO5pNvxgyBT9nSCbNO9AiKL9QYhi0x3hL9' );
INSERT INTO t1 VALUES (1586903190, 'lwRHuWm4HE8leYmg66uGYIp6AnAr0BDd7YmuvYqCfqp9EbhKZRSymA4wx6gpHlJHI53DetH9j7Ixar90Jey5outd1ZIAJdJTjMaD7rMiqYXHFhHaB7Xr1HKuqe51GG' );
INSERT INTO t1 VALUES (962033002, 'rfw4egILWisfxPwOc3nJx4frnAwgI539kr5EXFbupSZelM2MHqZEmD6ZNuEZzHib8fqYuHQbdrDND8lXqIdcNbAeWOBLZlpZOX5AoNlQFzpK7QjxcLP0wbWIriYGJL' );
INSERT INTO t1 VALUES (1910858270, 'ksnug3YyANnWWDEJiRkiFC4a3e6KyJ2i3hSjksiuFLHlRXw9yhjDtnfoQd0OouyrcIbCB9zQWG4pf0yTZhaIT67nj7BY21FWJqaWrZxEh13Kt2hRbGl4MsrxsuLmvd' );
INSERT INTO t1 VALUES (63299708, 'FJid3GaHpRC2L6jgirPm5AW3uGGgCloJ5Ww0eNHSiLWvS5bAxto23AxxR6TXr9qofeoAtxWcJsXnxzxmsdhvoekFc5mSES8tyxvsuPK5Hjs7ihtaJaLz5xEh2s1GCA' );
INSERT INTO t1 VALUES (737703662, '2zxutF6rOqjXYHHzSrKRwAhWCPXTdhNXYKQIRO9sEkFf1YeTGqw40Ta5u6QNfpvC1DWTTXDkFSFHtte9bbDSwgZjmryHglLhqjAKEF4MkJfT49eXcjzZNOG1F6BnsY' );
INSERT INTO t1 VALUES (1348361729, 'i8X2EnycNH7sDHMltxcILtQE0ZPoPq9zyg24J0hiAgQNpg8jedtrWK5WtXIALR9B03FJ4ou6TCTAtWtN7fETzBzkiAmvTv6LrEZn2RtNfMaOkJfjytCp54ZfEJbb7Z' );
INSERT INTO t1 VALUES (1804289383, 'mxvtvmC9127qJNm06sGB8R92q2j7vTiiITRDGXM9ZLzkdekbWtmXKwZ2qG1llkRw5m9DHOFilEREk3q7oce8O3BEJC0woJsm6uzFAEynLH2xCsw1KQ1lT4zg9rdxBL' );
INSERT INTO t1 VALUES (822890675, '97RGHZ65mNzkSrYT3zWoSbg9cNePQr1bzSk81qDgE4Oanw3rnPfGsBHSbnu1evTdFDe83ro9w4jjteQg4yoo9xHck3WNqzs54W5zEm92ikdRF48B2oz3m8gMBAl11W' );
INSERT INTO t1 VALUES (1308044878, '50w46i58Giekxik0cYzfA8BZBLADEg3JhzGfZDoqvQQk0Akcic7lcJInYSsf9wqin6LDC1vzJLkJXKn5onqOy04MTw1WksCYqPl2Jg2eteqOqTLfGCvE4zTZwWvgMz' );
INSERT INTO t1 VALUES (964445884, 'DPh7kD1E6f4MMQk1ioopsoIIcoD83DD8Wu7689K6oHTAjD3Hts6lYGv8x9G0EL0k87q8G2ExJjz2o3KhnIJBbEJYFROTpO5pNvxgyBT9nSCbNO9AiKL9QYhi0x3hL9' );
INSERT INTO t1 VALUES (1586903190, 'lwRHuWm4HE8leYmg66uGYIp6AnAr0BDd7YmuvYqCfqp9EbhKZRSymA4wx6gpHlJHI53DetH9j7Ixar90Jey5outd1ZIAJdJTjMaD7rMiqYXHFhHaB7Xr1HKuqe51GG' );
INSERT INTO t1 VALUES (962033002, 'rfw4egILWisfxPwOc3nJx4frnAwgI539kr5EXFbupSZelM2MHqZEmD6ZNuEZzHib8fqYuHQbdrDND8lXqIdcNbAeWOBLZlpZOX5AoNlQFzpK7QjxcLP0wbWIriYGJL' );
INSERT INTO t1 VALUES (1910858270, 'ksnug3YyANnWWDEJiRkiFC4a3e6KyJ2i3hSjksiuFLHlRXw9yhjDtnfoQd0OouyrcIbCB9zQWG4pf0yTZhaIT67nj7BY21FWJqaWrZxEh13Kt2hRbGl4MsrxsuLmvd' );
INSERT INTO t1 VALUES (63299708, 'FJid3GaHpRC2L6jgirPm5AW3uGGgCloJ5Ww0eNHSiLWvS5bAxto23AxxR6TXr9qofeoAtxWcJsXnxzxmsdhvoekFc5mSES8tyxvsuPK5Hjs7ihtaJaLz5xEh2s1GCA' );
INSERT INTO t1 VALUES (737703662, '2zxutF6rOqjXYHHzSrKRwAhWCPXTdhNXYKQIRO9sEkFf1YeTGqw40Ta5u6QNfpvC1DWTTXDkFSFHtte9bbDSwgZjmryHglLhqjAKEF4MkJfT49eXcjzZNOG1F6BnsY' );
INSERT INTO t1 VALUES (1348361729, 'i8X2EnycNH7sDHMltxcILtQE0ZPoPq9zyg24J0hiAgQNpg8jedtrWK5WtXIALR9B03FJ4ou6TCTAtWtN7fETzBzkiAmvTv6LrEZn2RtNfMaOkJfjytCp54ZfEJbb7Z' );
INSERT INTO t1 VALUES (1804289383, 'mxvtvmC9127qJNm06sGB8R92q2j7vTiiITRDGXM9ZLzkdekbWtmXKwZ2qG1llkRw5m9DHOFilEREk3q7oce8O3BEJC0woJsm6uzFAEynLH2xCsw1KQ1lT4zg9rdxBL' );
INSERT INTO t1 VALUES (822890675, '97RGHZ65mNzkSrYT3zWoSbg9cNePQr1bzSk81qDgE4Oanw3rnPfGsBHSbnu1evTdFDe83ro9w4jjteQg4yoo9xHck3WNqzs54W5zEm92ikdRF48B2oz3m8gMBAl11W' );
INSERT INTO t1 VALUES (1308044878, '50w46i58Giekxik0cYzfA8BZBLADEg3JhzGfZDoqvQQk0Akcic7lcJInYSsf9wqin6LDC1vzJLkJXKn5onqOy04MTw1WksCYqPl2Jg2eteqOqTLfGCvE4zTZwWvgMz' );
INSERT INTO t1 VALUES (964445884, 'DPh7kD1E6f4MMQk1ioopsoIIcoD83DD8Wu7689K6oHTAjD3Hts6lYGv8x9G0EL0k87q8G2ExJjz2o3KhnIJBbEJYFROTpO5pNvxgyBT9nSCbNO9AiKL9QYhi0x3hL9' );
INSERT INTO t1 VALUES (1586903190, 'lwRHuWm4HE8leYmg66uGYIp6AnAr0BDd7YmuvYqCfqp9EbhKZRSymA4wx6gpHlJHI53DetH9j7Ixar90Jey5outd1ZIAJdJTjMaD7rMiqYXHFhHaB7Xr1HKuqe51GG' );
INSERT INTO t1 VALUES (962033002, 'rfw4egILWisfxPwOc3nJx4frnAwgI539kr5EXFbupSZelM2MHqZEmD6ZNuEZzHib8fqYuHQbdrDND8lXqIdcNbAeWOBLZlpZOX5AoNlQFzpK7QjxcLP0wbWIriYGJL' );
INSERT INTO t1 VALUES (1910858270, 'ksnug3YyANnWWDEJiRkiFC4a3e6KyJ2i3hSjksiuFLHlRXw9yhjDtnfoQd0OouyrcIbCB9zQWG4pf0yTZhaIT67nj7BY21FWJqaWrZxEh13Kt2hRbGl4MsrxsuLmvd' );
INSERT INTO t1 VALUES (63299708, 'FJid3GaHpRC2L6jgirPm5AW3uGGgCloJ5Ww0eNHSiLWvS5bAxto23AxxR6TXr9qofeoAtxWcJsXnxzxmsdhvoekFc5mSES8tyxvsuPK5Hjs7ihtaJaLz5xEh2s1GCA' );
INSERT INTO t1 VALUES (737703662, '2zxutF6rOqjXYHHzSrKRwAhWCPXTdhNXYKQIRO9sEkFf1YeTGqw40Ta5u6QNfpvC1DWTTXDkFSFHtte9bbDSwgZjmryHglLhqjAKEF4MkJfT49eXcjzZNOG1F6BnsY' );
INSERT INTO t1 VALUES (1348361729, 'i8X2EnycNH7sDHMltxcILtQE0ZPoPq9zyg24J0hiAgQNpg8jedtrWK5WtXIALR9B03FJ4ou6TCTAtWtN7fETzBzkiAmvTv6LrEZn2RtNfMaOkJfjytCp54ZfEJbb7Z' );
INSERT INTO t1 VALUES (1804289383, 'mxvtvmC9127qJNm06sGB8R92q2j7vTiiITRDGXM9ZLzkdekbWtmXKwZ2qG1llkRw5m9DHOFilEREk3q7oce8O3BEJC0woJsm6uzFAEynLH2xCsw1KQ1lT4zg9rdxBL' );
INSERT INTO t1 VALUES (822890675, '97RGHZ65mNzkSrYT3zWoSbg9cNePQr1bzSk81qDgE4Oanw3rnPfGsBHSbnu1evTdFDe83ro9w4jjteQg4yoo9xHck3WNqzs54W5zEm92ikdRF48B2oz3m8gMBAl11W' );
INSERT INTO t1 VALUES (1308044878, '50w46i58Giekxik0cYzfA8BZBLADEg3JhzGfZDoqvQQk0Akcic7lcJInYSsf9wqin6LDC1vzJLkJXKn5onqOy04MTw1WksCYqPl2Jg2eteqOqTLfGCvE4zTZwWvgMz' );
INSERT INTO t1 VALUES (964445884, 'DPh7kD1E6f4MMQk1ioopsoIIcoD83DD8Wu7689K6oHTAjD3Hts6lYGv8x9G0EL0k87q8G2ExJjz2o3KhnIJBbEJYFROTpO5pNvxgyBT9nSCbNO9AiKL9QYhi0x3hL9' );
INSERT INTO t1 VALUES (1586903190, 'lwRHuWm4HE8leYmg66uGYIp6AnAr0BDd7YmuvYqCfqp9EbhKZRSymA4wx6gpHlJHI53DetH9j7Ixar90Jey5outd1ZIAJdJTjMaD7rMiqYXHFhHaB7Xr1HKuqe51GG' );
INSERT INTO t1 VALUES (962033002, 'rfw4egILWisfxPwOc3nJx4frnAwgI539kr5EXFbupSZelM2MHqZEmD6ZNuEZzHib8fqYuHQbdrDND8lXqIdcNbAeWOBLZlpZOX5AoNlQFzpK7QjxcLP0wbWIriYGJL' );
INSERT INTO t1 VALUES (1910858270, 'ksnug3YyANnWWDEJiRkiFC4a3e6KyJ2i3hSjksiuFLHlRXw9yhjDtnfoQd0OouyrcIbCB9zQWG4pf0yTZhaIT67nj7BY21FWJqaWrZxEh13Kt2hRbGl4MsrxsuLmvd' );
INSERT INTO t1 VALUES (63299708, 'FJid3GaHpRC2L6jgirPm5AW3uGGgCloJ5Ww0eNHSiLWvS5bAxto23AxxR6TXr9qofeoAtxWcJsXnxzxmsdhvoekFc5mSES8tyxvsuPK5Hjs7ihtaJaLz5xEh2s1GCA' );
INSERT INTO t1 VALUES (737703662, '2zxutF6rOqjXYHHzSrKRwAhWCPXTdhNXYKQIRO9sEkFf1YeTGqw40Ta5u6QNfpvC1DWTTXDkFSFHtte9bbDSwgZjmryHglLhqjAKEF4MkJfT49eXcjzZNOG1F6BnsY' );
INSERT INTO t1 VALUES (1348361729, 'i8X2EnycNH7sDHMltxcILtQE0ZPoPq9zyg24J0hiAgQNpg8jedtrWK5WtXIALR9B03FJ4ou6TCTAtWtN7fETzBzkiAmvTv6LrEZn2RtNfMaOkJfjytCp54ZfEJbb7Z' );
INSERT INTO t1 VALUES (1804289383, 'mxvtvmC9127qJNm06sGB8R92q2j7vTiiITRDGXM9ZLzkdekbWtmXKwZ2qG1llkRw5m9DHOFilEREk3q7oce8O3BEJC0woJsm6uzFAEynLH2xCsw1KQ1lT4zg9rdxBL' );
INSERT INTO t1 VALUES (822890675, '97RGHZ65mNzkSrYT3zWoSbg9cNePQr1bzSk81qDgE4Oanw3rnPfGsBHSbnu1evTdFDe83ro9w4jjteQg4yoo9xHck3WNqzs54W5zEm92ikdRF48B2oz3m8gMBAl11W' );
INSERT INTO t1 VALUES (1308044878, '50w46i58Giekxik0cYzfA8BZBLADEg3JhzGfZDoqvQQk0Akcic7lcJInYSsf9wqin6LDC1vzJLkJXKn5onqOy04MTw1WksCYqPl2Jg2eteqOqTLfGCvE4zTZwWvgMz' );
INSERT INTO t1 VALUES (964445884, 'DPh7kD1E6f4MMQk1ioopsoIIcoD83DD8Wu7689K6oHTAjD3Hts6lYGv8x9G0EL0k87q8G2ExJjz2o3KhnIJBbEJYFROTpO5pNvxgyBT9nSCbNO9AiKL9QYhi0x3hL9' );
INSERT INTO t1 VALUES (1586903190, 'lwRHuWm4HE8leYmg66uGYIp6AnAr0BDd7YmuvYqCfqp9EbhKZRSymA4wx6gpHlJHI53DetH9j7Ixar90Jey5outd1ZIAJdJTjMaD7rMiqYXHFhHaB7Xr1HKuqe51GG' );
INSERT INTO t1 VALUES (962033002, 'rfw4egILWisfxPwOc3nJx4frnAwgI539kr5EXFbupSZelM2MHqZEmD6ZNuEZzHib8fqYuHQbdrDND8lXqIdcNbAeWOBLZlpZOX5AoNlQFzpK7QjxcLP0wbWIriYGJL' );
INSERT INTO t1 VALUES (1910858270, 'ksnug3YyANnWWDEJiRkiFC4a3e6KyJ2i3hSjksiuFLHlRXw9yhjDtnfoQd0OouyrcIbCB9zQWG4pf0yTZhaIT67nj7BY21FWJqaWrZxEh13Kt2hRbGl4MsrxsuLmvd' );
INSERT INTO t1 VALUES (63299708, 'FJid3GaHpRC2L6jgirPm5AW3uGGgCloJ5Ww0eNHSiLWvS5bAxto23AxxR6TXr9qofeoAtxWcJsXnxzxmsdhvoekFc5mSES8tyxvsuPK5Hjs7ihtaJaLz5xEh2s1GCA' );
INSERT INTO t1 VALUES (737703662, '2zxutF6rOqjXYHHzSrKRwAhWCPXTdhNXYKQIRO9sEkFf1YeTGqw40Ta5u6QNfpvC1DWTTXDkFSFHtte9bbDSwgZjmryHglLhqjAKEF4MkJfT49eXcjzZNOG1F6BnsY' );
INSERT INTO t1 VALUES (1348361729, 'i8X2EnycNH7sDHMltxcILtQE0ZPoPq9zyg24J0hiAgQNpg8jedtrWK5WtXIALR9B03FJ4ou6TCTAtWtN7fETzBzkiAmvTv6LrEZn2RtNfMaOkJfjytCp54ZfEJbb7Z' );
INSERT INTO t1 VALUES (1804289383, 'mxvtvmC9127qJNm06sGB8R92q2j7vTiiITRDGXM9ZLzkdekbWtmXKwZ2qG1llkRw5m9DHOFilEREk3q7oce8O3BEJC0woJsm6uzFAEynLH2xCsw1KQ1lT4zg9rdxBL' );
INSERT INTO t1 VALUES (822890675, '97RGHZ65mNzkSrYT3zWoSbg9cNePQr1bzSk81qDgE4Oanw3rnPfGsBHSbnu1evTdFDe83ro9w4jjteQg4yoo9xHck3WNqzs54W5zEm92ikdRF48B2oz3m8gMBAl11W' );
INSERT INTO t1 VALUES (1308044878, '50w46i58Giekxik0cYzfA8BZBLADEg3JhzGfZDoqvQQk0Akcic7lcJInYSsf9wqin6LDC1vzJLkJXKn5onqOy04MTw1WksCYqPl2Jg2eteqOqTLfGCvE4zTZwWvgMz' );
INSERT INTO t1 VALUES (964445884, 'DPh7kD1E6f4MMQk1ioopsoIIcoD83DD8Wu7689K6oHTAjD3Hts6lYGv8x9G0EL0k87q8G2ExJjz2o3KhnIJBbEJYFROTpO5pNvxgyBT9nSCbNO9AiKL9QYhi0x3hL9' );
INSERT INTO t1 VALUES (1586903190, 'lwRHuWm4HE8leYmg66uGYIp6AnAr0BDd7YmuvYqCfqp9EbhKZRSymA4wx6gpHlJHI53DetH9j7Ixar90Jey5outd1ZIAJdJTjMaD7rMiqYXHFhHaB7Xr1HKuqe51GG' );
INSERT INTO t1 VALUES (962033002, 'rfw4egILWisfxPwOc3nJx4frnAwgI539kr5EXFbupSZelM2MHqZEmD6ZNuEZzHib8fqYuHQbdrDND8lXqIdcNbAeWOBLZlpZOX5AoNlQFzpK7QjxcLP0wbWIriYGJL' );
INSERT INTO t1 VALUES (1910858270, 'ksnug3YyANnWWDEJiRkiFC4a3e6KyJ2i3hSjksiuFLHlRXw9yhjDtnfoQd0OouyrcIbCB9zQWG4pf0yTZhaIT67nj7BY21FWJqaWrZxEh13Kt2hRbGl4MsrxsuLmvd' );
INSERT INTO t1 VALUES (63299708, 'FJid3GaHpRC2L6jgirPm5AW3uGGgCloJ5Ww0eNHSiLWvS5bAxto23AxxR6TXr9qofeoAtxWcJsXnxzxmsdhvoekFc5mSES8tyxvsuPK5Hjs7ihtaJaLz5xEh2s1GCA' );
INSERT INTO t1 VALUES (737703662, '2zxutF6rOqjXYHHzSrKRwAhWCPXTdhNXYKQIRO9sEkFf1YeTGqw40Ta5u6QNfpvC1DWTTXDkFSFHtte9bbDSwgZjmryHglLhqjAKEF4MkJfT49eXcjzZNOG1F6BnsY' );
INSERT INTO t1 VALUES (1348361729, 'i8X2EnycNH7sDHMltxcILtQE0ZPoPq9zyg24J0hiAgQNpg8jedtrWK5WtXIALR9B03FJ4ou6TCTAtWtN7fETzBzkiAmvTv6LrEZn2RtNfMaOkJfjytCp54ZfEJbb7Z' );
INSERT INTO t1 VALUES (1804289383, 'mxvtvmC9127qJNm06sGB8R92q2j7vTiiITRDGXM9ZLzkdekbWtmXKwZ2qG1llkRw5m9DHOFilEREk3q7oce8O3BEJC0woJsm6uzFAEynLH2xCsw1KQ1lT4zg9rdxBL' );
INSERT INTO t1 VALUES (822890675, '97RGHZ65mNzkSrYT3zWoSbg9cNePQr1bzSk81qDgE4Oanw3rnPfGsBHSbnu1evTdFDe83ro9w4jjteQg4yoo9xHck3WNqzs54W5zEm92ikdRF48B2oz3m8gMBAl11W' );
INSERT INTO t1 VALUES (1308044878, '50w46i58Giekxik0cYzfA8BZBLADEg3JhzGfZDoqvQQk0Akcic7lcJInYSsf9wqin6LDC1vzJLkJXKn5onqOy04MTw1WksCYqPl2Jg2eteqOqTLfGCvE4zTZwWvgMz' );
INSERT INTO t1 VALUES (964445884, 'DPh7kD1E6f4MMQk1ioopsoIIcoD83DD8Wu7689K6oHTAjD3Hts6lYGv8x9G0EL0k87q8G2ExJjz2o3KhnIJBbEJYFROTpO5pNvxgyBT9nSCbNO9AiKL9QYhi0x3hL9' );
INSERT INTO t1 VALUES (1586903190, 'lwRHuWm4HE8leYmg66uGYIp6AnAr0BDd7YmuvYqCfqp9EbhKZRSymA4wx6gpHlJHI53DetH9j7Ixar90Jey5outd1ZIAJdJTjMaD7rMiqYXHFhHaB7Xr1HKuqe51GG' );
INSERT INTO t1 VALUES (962033002, 'rfw4egILWisfxPwOc3nJx4frnAwgI539kr5EXFbupSZelM2MHqZEmD6ZNuEZzHib8fqYuHQbdrDND8lXqIdcNbAeWOBLZlpZOX5AoNlQFzpK7QjxcLP0wbWIriYGJL' );
INSERT INTO t1 VALUES (1910858270, 'ksnug3YyANnWWDEJiRkiFC4a3e6KyJ2i3hSjksiuFLHlRXw9yhjDtnfoQd0OouyrcIbCB9zQWG4pf0yTZhaIT67nj7BY21FWJqaWrZxEh13Kt2hRbGl4MsrxsuLmvd' );
INSERT INTO t1 VALUES (63299708, 'FJid3GaHpRC2L6jgirPm5AW3uGGgCloJ5Ww0eNHSiLWvS5bAxto23AxxR6TXr9qofeoAtxWcJsXnxzxmsdhvoekFc5mSES8tyxvsuPK5Hjs7ihtaJaLz5xEh2s1GCA' );
INSERT INTO t1 VALUES (737703662, '2zxutF6rOqjXYHHzSrKRwAhWCPXTdhNXYKQIRO9sEkFf1YeTGqw40Ta5u6QNfpvC1DWTTXDkFSFHtte9bbDSwgZjmryHglLhqjAKEF4MkJfT49eXcjzZNOG1F6BnsY' );
INSERT INTO t1 VALUES (1348361729, 'i8X2EnycNH7sDHMltxcILtQE0ZPoPq9zyg24J0hiAgQNpg8jedtrWK5WtXIALR9B03FJ4ou6TCTAtWtN7fETzBzkiAmvTv6LrEZn2RtNfMaOkJfjytCp54ZfEJbb7Z' );
INSERT INTO t1 VALUES (1804289383, 'mxvtvmC9127qJNm06sGB8R92q2j7vTiiITRDGXM9ZLzkdekbWtmXKwZ2qG1llkRw5m9DHOFilEREk3q7oce8O3BEJC0woJsm6uzFAEynLH2xCsw1KQ1lT4zg9rdxBL' );
INSERT INTO t1 VALUES (822890675, '97RGHZ65mNzkSrYT3zWoSbg9cNePQr1bzSk81qDgE4Oanw3rnPfGsBHSbnu1evTdFDe83ro9w4jjteQg4yoo9xHck3WNqzs54W5zEm92ikdRF48B2oz3m8gMBAl11W' );
INSERT INTO t1 VALUES (1308044878, '50w46i58Giekxik0cYzfA8BZBLADEg3JhzGfZDoqvQQk0Akcic7lcJInYSsf9wqin6LDC1vzJLkJXKn5onqOy04MTw1WksCYqPl2Jg2eteqOqTLfGCvE4zTZwWvgMz' );
INSERT INTO t1 VALUES (964445884, 'DPh7kD1E6f4MMQk1ioopsoIIcoD83DD8Wu7689K6oHTAjD3Hts6lYGv8x9G0EL0k87q8G2ExJjz2o3KhnIJBbEJYFROTpO5pNvxgyBT9nSCbNO9AiKL9QYhi0x3hL9' );
INSERT INTO t1 VALUES (1586903190, 'lwRHuWm4HE8leYmg66uGYIp6AnAr0BDd7YmuvYqCfqp9EbhKZRSymA4wx6gpHlJHI53DetH9j7Ixar90Jey5outd1ZIAJdJTjMaD7rMiqYXHFhHaB7Xr1HKuqe51GG' );
INSERT INTO t1 VALUES (962033002, 'rfw4egILWisfxPwOc3nJx4frnAwgI539kr5EXFbupSZelM2MHqZEmD6ZNuEZzHib8fqYuHQbdrDND8lXqIdcNbAeWOBLZlpZOX5AoNlQFzpK7QjxcLP0wbWIriYGJL' );
INSERT INTO t1 VALUES (1910858270, 'ksnug3YyANnWWDEJiRkiFC4a3e6KyJ2i3hSjksiuFLHlRXw9yhjDtnfoQd0OouyrcIbCB9zQWG4pf0yTZhaIT67nj7BY21FWJqaWrZxEh13Kt2hRbGl4MsrxsuLmvd' );
INSERT INTO t1 VALUES (63299708, 'FJid3GaHpRC2L6jgirPm5AW3uGGgCloJ5Ww0eNHSiLWvS5bAxto23AxxR6TXr9qofeoAtxWcJsXnxzxmsdhvoekFc5mSES8tyxvsuPK5Hjs7ihtaJaLz5xEh2s1GCA' );
INSERT INTO t1 VALUES (737703662, '2zxutF6rOqjXYHHzSrKRwAhWCPXTdhNXYKQIRO9sEkFf1YeTGqw40Ta5u6QNfpvC1DWTTXDkFSFHtte9bbDSwgZjmryHglLhqjAKEF4MkJfT49eXcjzZNOG1F6BnsY' );
INSERT INTO t1 VALUES (1348361729, 'i8X2EnycNH7sDHMltxcILtQE0ZPoPq9zyg24J0hiAgQNpg8jedtrWK5WtXIALR9B03FJ4ou6TCTAtWtN7fETzBzkiAmvTv6LrEZn2RtNfMaOkJfjytCp54ZfEJbb7Z' );
INSERT INTO t1 VALUES (1804289383, 'mxvtvmC9127qJNm06sGB8R92q2j7vTiiITRDGXM9ZLzkdekbWtmXKwZ2qG1llkRw5m9DHOFilEREk3q7oce8O3BEJC0woJsm6uzFAEynLH2xCsw1KQ1lT4zg9rdxBL' );
INSERT INTO t1 VALUES (822890675, '97RGHZ65mNzkSrYT3zWoSbg9cNePQr1bzSk81qDgE4Oanw3rnPfGsBHSbnu1evTdFDe83ro9w4jjteQg4yoo9xHck3WNqzs54W5zEm92ikdRF48B2oz3m8gMBAl11W' );
INSERT INTO t1 VALUES (1308044878, '50w46i58Giekxik0cYzfA8BZBLADEg3JhzGfZDoqvQQk0Akcic7lcJInYSsf9wqin6LDC1vzJLkJXKn5onqOy04MTw1WksCYqPl2Jg2eteqOqTLfGCvE4zTZwWvgMz' );
INSERT INTO t1 VALUES (964445884, 'DPh7kD1E6f4MMQk1ioopsoIIcoD83DD8Wu7689K6oHTAjD3Hts6lYGv8x9G0EL0k87q8G2ExJjz2o3KhnIJBbEJYFROTpO5pNvxgyBT9nSCbNO9AiKL9QYhi0x3hL9' );
INSERT INTO t1 VALUES (1586903190, 'lwRHuWm4HE8leYmg66uGYIp6AnAr0BDd7YmuvYqCfqp9EbhKZRSymA4wx6gpHlJHI53DetH9j7Ixar90Jey5outd1ZIAJdJTjMaD7rMiqYXHFhHaB7Xr1HKuqe51GG' );
INSERT INTO t1 VALUES (962033002, 'rfw4egILWisfxPwOc3nJx4frnAwgI539kr5EXFbupSZelM2MHqZEmD6ZNuEZzHib8fqYuHQbdrDND8lXqIdcNbAeWOBLZlpZOX5AoNlQFzpK7QjxcLP0wbWIriYGJL' );
INSERT INTO t1 VALUES (1910858270, 'ksnug3YyANnWWDEJiRkiFC4a3e6KyJ2i3hSjksiuFLHlRXw9yhjDtnfoQd0OouyrcIbCB9zQWG4pf0yTZhaIT67nj7BY21FWJqaWrZxEh13Kt2hRbGl4MsrxsuLmvd' );
INSERT INTO t1 VALUES (63299708, 'FJid3GaHpRC2L6jgirPm5AW3uGGgCloJ5Ww0eNHSiLWvS5bAxto23AxxR6TXr9qofeoAtxWcJsXnxzxmsdhvoekFc5mSES8tyxvsuPK5Hjs7ihtaJaLz5xEh2s1GCA' );
INSERT INTO t1 VALUES (737703662, '2zxutF6rOqjXYHHzSrKRwAhWCPXTdhNXYKQIRO9sEkFf1YeTGqw40Ta5u6QNfpvC1DWTTXDkFSFHtte9bbDSwgZjmryHglLhqjAKEF4MkJfT49eXcjzZNOG1F6BnsY' );
INSERT INTO t1 VALUES (1348361729, 'i8X2EnycNH7sDHMltxcILtQE0ZPoPq9zyg24J0hiAgQNpg8jedtrWK5WtXIALR9B03FJ4ou6TCTAtWtN7fETzBzkiAmvTv6LrEZn2RtNfMaOkJfjytCp54ZfEJbb7Z' );
INSERT INTO t1 VALUES (1804289383, 'mxvtvmC9127qJNm06sGB8R92q2j7vTiiITRDGXM9ZLzkdekbWtmXKwZ2qG1llkRw5m9DHOFilEREk3q7oce8O3BEJC0woJsm6uzFAEynLH2xCsw1KQ1lT4zg9rdxBL' );
INSERT INTO t1 VALUES (822890675, '97RGHZ65mNzkSrYT3zWoSbg9cNePQr1bzSk81qDgE4Oanw3rnPfGsBHSbnu1evTdFDe83ro9w4jjteQg4yoo9xHck3WNqzs54W5zEm92ikdRF48B2oz3m8gMBAl11W' );
INSERT INTO t1 VALUES (1308044878, '50w46i58Giekxik0cYzfA8BZBLADEg3JhzGfZDoqvQQk0Akcic7lcJInYSsf9wqin6LDC1vzJLkJXKn5onqOy04MTw1WksCYqPl2Jg2eteqOqTLfGCvE4zTZwWvgMz' );
INSERT INTO t1 VALUES (964445884, 'DPh7kD1E6f4MMQk1ioopsoIIcoD83DD8Wu7689K6oHTAjD3Hts6lYGv8x9G0EL0k87q8G2ExJjz2o3KhnIJBbEJYFROTpO5pNvxgyBT9nSCbNO9AiKL9QYhi0x3hL9' );
INSERT INTO t1 VALUES (1586903190, 'lwRHuWm4HE8leYmg66uGYIp6AnAr0BDd7YmuvYqCfqp9EbhKZRSymA4wx6gpHlJHI53DetH9j7Ixar90Jey5outd1ZIAJdJTjMaD7rMiqYXHFhHaB7Xr1HKuqe51GG' );
INSERT INTO t1 VALUES (962033002, 'rfw4egILWisfxPwOc3nJx4frnAwgI539kr5EXFbupSZelM2MHqZEmD6ZNuEZzHib8fqYuHQbdrDND8lXqIdcNbAeWOBLZlpZOX5AoNlQFzpK7QjxcLP0wbWIriYGJL' );
INSERT INTO t1 VALUES (1910858270, 'ksnug3YyANnWWDEJiRkiFC4a3e6KyJ2i3hSjksiuFLHlRXw9yhjDtnfoQd0OouyrcIbCB9zQWG4pf0yTZhaIT67nj7BY21FWJqaWrZxEh13Kt2hRbGl4MsrxsuLmvd' );
INSERT INTO t1 VALUES (63299708, 'FJid3GaHpRC2L6jgirPm5AW3uGGgCloJ5Ww0eNHSiLWvS5bAxto23AxxR6TXr9qofeoAtxWcJsXnxzxmsdhvoekFc5mSES8tyxvsuPK5Hjs7ihtaJaLz5xEh2s1GCA' );
INSERT INTO t1 VALUES (737703662, '2zxutF6rOqjXYHHzSrKRwAhWCPXTdhNXYKQIRO9sEkFf1YeTGqw40Ta5u6QNfpvC1DWTTXDkFSFHtte9bbDSwgZjmryHglLhqjAKEF4MkJfT49eXcjzZNOG1F6BnsY' );
INSERT INTO t1 VALUES (100669, 'qnMdipW5KkXdTjGCh2PNzLoeR0527frpQDQ8uw67Ydk1K06uuNHtkxYBxT5w8plb2BbpzhwYBgPNYX9RmICWGkZD6fAESvhMzH3yqzMtXoH4BQNylbK1CmEIPGYlC6' );
SELECT intcol1,charcol1 FROM t1;
INSERT INTO t1 VALUES (73673339, 'BN3152Gza4GW7atxJKACYwJqDbFynLxqc0kh30YTwgz3FktQ43XTrqJ4PQ25frn7kXhfXD8RuzN1j8Rf3y8ugKy6es3IbqPJM6ylCyD6xS7YcQCfHKZxYNvB7yTahm' );
SELECT intcol1,charcol1 FROM t1;
INSERT INTO t1 VALUES (1759592334, '3lkoxjtvgLu5xKHSTTtJuGE5F5QqmCcppCTmvFZScRZQgim93gSxwb24gKmIPEzEQStMjQiCu7WapGbkw4ilXch3xRLMhKSzgLDOovSi2qGj6rKvnuYAWDDJgaZDu2' );
SELECT intcol1,charcol1 FROM t1;
INSERT INTO t1 VALUES (95275444, 'bNIrBDBl81tjzdvuOpQRCXgX37xGtzLKEXBIcE3k7xK7aFtqxC99jqYnpTviK83bf6lGDgsKd4R3KLmHPnI8TqnIKj1gjw7N2sXFZNS2Svyg8cpZN7atxL39w4igsp' );
SELECT intcol1,charcol1 FROM t1;
INSERT INTO t1 VALUES (866596855, 'naQuzhMt1IrZIJMkbLAKBNNKKK2sCknzI5uHeGAgQuDd5SLgpN0smODyc7qorTo1QaI5qLl97qmCIzl0Mds81x7TxpIoJyqlY0iEDRNKA1PS0AKEn5NhuMAr3KgEIM' );
SELECT intcol1,charcol1 FROM t1;
INSERT INTO t1 VALUES (364531492, 'qMa5SuKo4M5OM7ldvisSc6WK9rsG9E8sSixocHdgfa5uiiNTGFxkDJ4EAwWC2e4NL1BpAgWiFRcp1zIH6F1BayPdmwphatwnmzdwgzWnQ6SRxmcvtd6JRYwEKdvuWr' );
DROP SCHEMA IF EXISTS `mysqlslap`;
[root@Betty libmysql] #

7. 实际测试中的复杂情况。  
使用 --defaults-file 选项,指定从配置文件中读取选项配置。  
使用 --number-int-cols 选项,指定表中会包含 4 个 int 型的列。  
使用 --number-char-cols 选项,指定表中会包含 35 个 char 型的列。  
使用 --engine 选项,指定针对何种存储引擎进行测试。  
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[root@Betty ~] # mysqlslap --defaults-file=/etc/my.cnf --concurrency=50,100,200 --iterations=1 --number-int-cols=4 --number-char-cols=35 --auto-generate-sql --auto-generate-sql-add-autoincrement --auto-generate-sql-load-type=mixed --engine=myisam,innodb --number-of-queries=200 --debug-info -S /tmp/mysql.sock
Benchmark
         Running for engine myisam
         Average number of seconds to run all queries: 0.015 seconds
         Minimum number of seconds to run all queries: 0.015 seconds
         Maximum number of seconds to run all queries: 0.015 seconds
         Number of clients running queries: 50
         Average number of queries per client: 4
 
Benchmark
         Running for engine myisam
         Average number of seconds to run all queries: 0.024 seconds
         Minimum number of seconds to run all queries: 0.024 seconds
         Maximum number of seconds to run all queries: 0.024 seconds
         Number of clients running queries: 100
         Average number of queries per client: 2
 
Benchmark
         Running for engine myisam
         Average number of seconds to run all queries: 0.028 seconds
         Minimum number of seconds to run all queries: 0.028 seconds
         Maximum number of seconds to run all queries: 0.028 seconds
         Number of clients running queries: 200
         Average number of queries per client: 1
 
Benchmark
         Running for engine innodb
         Average number of seconds to run all queries: 0.112 seconds
         Minimum number of seconds to run all queries: 0.112 seconds
         Maximum number of seconds to run all queries: 0.112 seconds
         Number of clients running queries: 50
         Average number of queries per client: 4
 
Benchmark
         Running for engine innodb
         Average number of seconds to run all queries: 0.042 seconds
         Minimum number of seconds to run all queries: 0.042 seconds
         Maximum number of seconds to run all queries: 0.042 seconds
         Number of clients running queries: 100
         Average number of queries per client: 2
 
Benchmark
         Running for engine innodb
         Average number of seconds to run all queries: 0.105 seconds
         Minimum number of seconds to run all queries: 0.105 seconds
         Maximum number of seconds to run all queries: 0.105 seconds
         Number of clients running queries: 200
         Average number of queries per client: 1
 
 
User time 0.05, System time 0.06
Maximum resident set size 8332, Integral resident set size 0
Non-physical pagefaults 5388, Physical pagefaults 0, Swaps 0
Blocks in 0 out 0, Messages in 0 out 0, Signals 0
Voluntary context switches 7484, Involuntary context switches 2839
[root@Betty ~] #

8. 使用存储过程进行测试。  
 


========== 我是分割线   =============  

mysqlslap 运行分三个阶段:  
  1. 创建 schema,table 和任何用来测试的已经存储了的程序和数据。这个阶段使用单客户端连接;
  2. 进行负载测试。这个阶段使用多客户端连接;
  3. 清除(断开连接,删除指定表)。这个阶段使用单客户端连接。
      
例子:  

a. 提供你自己的创建 SQL 语句和查询 SQL 语句,有 50 个客户端查询,每个查询 200 次(在单行上输入命令):  
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[root@Betty ~] # mysqlslap --delimiter=";" --create="CREATE TABLE a (b int);INSERT INTO a VALUES (23)" --query="SELECT * FROM a" --concurrency=50 --iterations=200
Benchmark
         Average number of seconds to run all queries: 0.005 seconds
         Minimum number of seconds to run all queries: 0.003 seconds
         Maximum number of seconds to run all queries: 0.007 seconds
         Number of clients running queries: 50
         Average number of queries per client: 1
 
[root@Betty ~] #

b. 让 mysqlslap 创建查询的 SQL 语句,使用的表有 2 个 INT 行和 3 个 VARCHAR 行。使用 5 个客户端,每一个查询 20 次!不要创建表或插入数据。(换言之,用之前测试的模式和数据):  
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[root@Betty ~] # mysqlslap --concurrency=5 --iterations=20 --number-int-cols=2 --number-char-cols=3 --auto-generate-sql
 
Benchmark
         Average number of seconds to run all queries: 0.025 seconds
         Minimum number of seconds to run all queries: 0.012 seconds
         Maximum number of seconds to run all queries: 0.084 seconds
         Number of clients running queries: 5
         Average number of queries per client: 0
 
[root@Betty ~] #

c. 告诉程序从指定的 create.sql 文件去加载 create,insert 和查询等 SQL 语句。该文件有多个表的 create 和insert 语句, 它们都是通过“;”分隔开的。query.sql 文件则有   多个查询语句, 分隔符也是“;”。执行所有的加载语句,然后通过查询文件执行所有的查询语句,分别在 5 个客户端上每个执行 5 次:  
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[root@Betty ~] # mysqlslap --concurrency=5 --iterations=5 --query=query.sql --create=create.sql --delimiter=";"

========== 我是分割线    =============  

      mysqlslap 对于模拟多个用户同时对 MySQL 发起“进攻”提供了方便。同时详细的提供了“高负荷攻击 MySQL”的详细数据报告。  



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