使用ProxySQL实现MySQL Group Replication的故障转移、读写分离（二）
在上一篇文章《使用ProxySQL实现MySQL Group Replication的故障转移、读写分离（一） 》 中，已经完成了MGR+ProxySQL集群的搭建，也测试了ProxySQL实现业务层面的故障转移，接下来继续测试读写分离。
王国维大师笔下的人生三境界：
第一重境界：昨夜西风凋碧树。独上高楼，望尽天涯路；
第二重境界：衣带渐宽终不悔，为伊消得人憔悴；
第三重境界：众里寻他千百度，蓦然回首，那人却在灯火阑珊处。作为一个一根筋的学渣程序员,我还没能想透彻。但是数据库读写分离的三境界却有了一定的了解，我们不妨来看一看MySQL数据库读写分离的三境界。
第一重境界：人工实现读写分离。通过IP、端口读写分离，业务层面人工识别读写语句，然后将其分配到不同的主机，实现读写分离；
第二重境界：正则实现读写分离。通过路由中间件识别SQL语句，通过正则表达式匹配SQL语句，然后根据匹配结果分发到不同的主机；
第三重境界：识别TOP SQL，将高负载SQL分发到不同的主机；（一）第一境界：人工实现读写分离
通过IP、端口读写分离，业务层面人工识别读写语句，然后使用不同的连接数据库配置信息，将其分配到不同的主机，实现读写分离。在ProxySQL里面，我们是通过端口来实现读写分离的。具体操作如下：
STEP1：配置ProxySQL在两个端口上侦听，并且重新启动ProxySQL
mysql -uadmin -padmin -h127.0.0.1 -P6032 mysql> SET mysql-interfaces='0.0.0.0:6401;0.0.0.0:6402'; -- save it on disk and restart proxysql mysql> SAVE MYSQL VARIABLES TO DISK; mysql> PROXYSQL RESTART;
STEP2：配置路由规则，通过端口将请求分发到不同的组
mysql> INSERT INTO mysql_query_rules (rule_id,active,proxy_port,destination_hostgroup,apply) VALUES (1,1,6401,10,1), (3,1,6402,20,1); mysql> LOAD MYSQL QUERY RULES TO RUNTIME; mysql> SAVE MYSQL QUERY RULES TO DISK;
这样，通过6401端口访问数据库的请求就会被转发到组1(写组)中，通过6402端口访问数据库的请求会被转发到组3(读组)中，从而实现读写分离，具体使用6401端口还是6402端口访问数据库，取决于开发人员人工识别SQL的读写特性。
（二）第二境界：使用正则表达式实现读写分离
通过路由中间件识别SQL语句，通过正则表达式匹配SQL语句，然后根据匹配结果分发到不同的主机。操作过程如下
STEP1:为避免干扰测试，删除之前定义的规则
DELETE FROM mysql_query_rules;
STEP2:定义新的读写分离规则
INSERT INTO mysql_query_rules (rule_id,active,match_digest,destination_hostgroup,apply) VALUES(1,1,'^SELECT.*FOR UPDATE$',1,1); INSERT INTO mysql_query_rules (rule_id,active,match_digest,destination_hostgroup,apply) VALUES(2,1,'^SELECT',3,1); LOAD MYSQL QUERY RULES TO RUNTIME; SAVE MYSQL QUERY RULES TO DISK;
现在，ProxySQL的路由规则为：
- SELECT FOR UPDATE操作将被路由到组1（写组）;
- 其它的SELECT语句将被路由到组3(读组);
- 其它的路由到默认组，即组1。
这里对使用正则表达式方式进行测试，整个过程如下：
（1）测试之前读写组信息修改
-- 根据组的规则：最多1个写节点，其余的写节点放入备用写组。目前我们可以看到节点192.168.10.13是写节点，其余2个节点是备用写节点，没有读节点 mysql> select * from mysql_group_replication_hostgroups; +------------------+-------------------------+------------------+-------------------+--------+-------------+-----------------------+-------------------------+---------+ | writer_hostgroup | backup_writer_hostgroup | reader_hostgroup | offline_hostgroup | active | max_writers | writer_is_also_reader | max_transactions_behind | comment | +------------------+-------------------------+------------------+-------------------+--------+-------------+-----------------------+-------------------------+---------+ | 1 | 2 | 3 | 4 | 1 | 1 | 0 | 100 | NULL | +------------------+-------------------------+------------------+-------------------+--------+-------------+-----------------------+-------------------------+---------+ 1 row in set (0.00 sec) mysql> mysql> select * from runtime_mysql_servers; +--------------+---------------+------+-----------+--------+--------+-------------+-----------------+---------------------+---------+----------------+---------+ | hostgroup_id | hostname | port | gtid_port | status | weight | compression | max_connections | max_replication_lag | use_ssl | max_latency_ms | comment | +--------------+---------------+------+-----------+--------+--------+-------------+-----------------+---------------------+---------+----------------+---------+ | 1 | 192.168.10.13 | 3306 | 0 | ONLINE | 1 | 0 | 1000 | 0 | 0 | 0 | | | 2 | 192.168.10.12 | 3306 | 0 | ONLINE | 1 | 0 | 1000 | 0 | 0 | 0 | | | 2 | 192.168.10.11 | 3306 | 0 | ONLINE | 1 | 0 | 1000 | 0 | 0 | 0 | | +--------------+---------------+------+-----------+--------+--------+-------------+-----------------+---------------------+---------+----------------+---------+ 3 rows in set (0.01 sec) -- 为了实现读写分离，需要有读节点，我们可以修改writer_is_also_reader参数，让backup_writer_hostgroup中的节点既做备用写节点，又做读节点 mysql> update mysql_group_replication_hostgroups set writer_is_also_reader = 2 ; Query OK, 1 row affected (0.00 sec) mysql> select * from mysql_group_replication_hostgroups; +------------------+-------------------------+------------------+-------------------+--------+-------------+-----------------------+-------------------------+---------+ | writer_hostgroup | backup_writer_hostgroup | reader_hostgroup | offline_hostgroup | active | max_writers | writer_is_also_reader | max_transactions_behind | comment | +------------------+-------------------------+------------------+-------------------+--------+-------------+-----------------------+-------------------------+---------+ | 1 | 2 | 3 | 4 | 1 | 1 | 2 | 100 | NULL | +------------------+-------------------------+------------------+-------------------+--------+-------------+-----------------------+-------------------------+---------+ 1 row in set (0.00 sec) mysql> mysql> select * from runtime_mysql_group_replication_hostgroups; +------------------+-------------------------+------------------+-------------------+--------+-------------+-----------------------+-------------------------+---------+ | writer_hostgroup | backup_writer_hostgroup | reader_hostgroup | offline_hostgroup | active | max_writers | writer_is_also_reader | max_transactions_behind | comment | +------------------+-------------------------+------------------+-------------------+--------+-------------+-----------------------+-------------------------+---------+ | 1 | 2 | 3 | 4 | 1 | 1 | 0 | 100 | NULL | +------------------+-------------------------+------------------+-------------------+--------+-------------+-----------------------+-------------------------+---------+ 1 row in set (0.00 sec) --需要生效、永久保存mysql server配置 mysql> load mysql servers to runtime; Query OK, 0 rows affected (0.01 sec) mysql> save mysql servers to disk; Query OK, 0 rows affected (0.03 sec) mysql> select * from runtime_mysql_group_replication_hostgroups; +------------------+-------------------------+------------------+-------------------+--------+-------------+-----------------------+-------------------------+---------+ | writer_hostgroup | backup_writer_hostgroup | reader_hostgroup | offline_hostgroup | active | max_writers | writer_is_also_reader | max_transactions_behind | comment | +------------------+-------------------------+------------------+-------------------+--------+-------------+-----------------------+-------------------------+---------+ | 1 | 2 | 3 | 4 | 1 | 1 | 2 | 100 | NULL | +------------------+-------------------------+------------------+-------------------+--------+-------------+-----------------------+-------------------------+---------+ 1 row in set (0.01 sec) -- 最终mysql server的组信息如下 mysql> select * from runtime_mysql_servers; +--------------+---------------+------+-----------+--------+--------+-------------+-----------------+---------------------+---------+----------------+---------+ | hostgroup_id | hostname | port | gtid_port | status | weight | compression | max_connections | max_replication_lag | use_ssl | max_latency_ms | comment | +--------------+---------------+------+-----------+--------+--------+-------------+-----------------+---------------------+---------+----------------+---------+ | 1 | 192.168.10.13 | 3306 | 0 | ONLINE | 1 | 0 | 1000 | 0 | 0 | 0 | | | 3 | 192.168.10.12 | 3306 | 0 | ONLINE | 1 | 0 | 1000 | 0 | 0 | 0 | | | 3 | 192.168.10.11 | 3306 | 0 | ONLINE | 1 | 0 | 1000 | 0 | 0 | 0 | | | 2 | 192.168.10.11 | 3306 | 0 | ONLINE | 1 | 0 | 1000 | 0 | 0 | 0 | | | 2 | 192.168.10.12 | 3306 | 0 | ONLINE | 1 | 0 | 1000 | 0 | 0 | 0 | | +--------------+---------------+------+-----------+--------+--------+-------------+-----------------+---------------------+---------+----------------+---------+ 5 rows in set (0.00 sec)
（2）导入规则
-- 为避免测试干扰，先删除之前的规则 DELETE FROM mysql_query_rules; -- 导入规则 INSERT INTO mysql_query_rules (rule_id,active,match_digest,destination_hostgroup,apply) VALUES(1,1,'^SELECT.*FOR UPDATE$',1,1); INSERT INTO mysql_query_rules (rule_id,active,match_digest,destination_hostgroup,apply) VALUES(2,1,'^SELECT',3,1); -- 生效、保存规则 LOAD MYSQL QUERY RULES TO RUNTIME; SAVE MYSQL QUERY RULES TO DISK;
（3）测试规则是否生效
测试SQL语句：
mysql -uusera -p123456 -h192.168.10.10 -P6033 -- 写测试 insert into testdb.test01 values(3,'c'); -- 读测试 SELECT * from testdb.test01; -- 正则大小写测试 select * from testdb.test01; -- select for update测试 SELECT * from testdb.test01 FOR UPDATE; select * from testdb.test01 FOR UPDATE; exit;
ProxySQL将SQL语句分发到哪一台主机上执行，可以查看统计视图：stats_mysql_query_digest和stats_mysql_query_digest_reset。两个表的内容和结构相同，但是查询stats_mysql_query_digest_reset表会自动将内部统计信息重置为零，即执行了stats_mysql_query_digest_reset的查询后，2个表的数据都会被完全清除。这里我们直接使用stats_mysql_query_digest_reset来查询上面的测试：
mysql> select hostgroup,schemaname,username,digest_text,count_star from stats_mysql_query_digest_reset; +-----------+--------------------+----------+----------------------------------------+------------+ | hostgroup | schemaname | username | digest_text | count_star | +-----------+--------------------+----------+----------------------------------------+------------+ | 1 | information_schema | usera | SELECT * from testdb.test01 FOR UPDATE | 1 | | 3 | information_schema | usera | select * from testdb.test01 | 1 | | 3 | information_schema | usera | SELECT * from testdb.test01 | 1 | | 1 | information_schema | usera | select * from testdb.test01 FOR UPDATE | 1 | | 1 | information_schema | usera | insert into testdb.test01 values(?,?) | 1 | | 1 | information_schema | usera | select @@version_comment limit ? | 1 | +-----------+--------------------+----------+----------------------------------------+------------+ 6 rows in set (0.00 sec)
可以看到，正则表达式规则不区分大小写，并且根据匹配规则，已经将SQL发到了对应的主机上执行。
个人觉得基于正则表达式路由SQL语句到不同主机执行已经十分智能了，然而ProxySQL官方并不建议这么干，因为我们无法准确知道各类型的SQL语句的开销，从而可能会导致流量分布不均。
接下来我们来看看ProxySQL推荐的方法，基于正则表达式和摘要进行读写拆分。
（三）第三境界：使用正则表达式和digest实现读写分离
以下是ProxySQL推荐的有效设置读写分离的配置过程：
(1)配置ProxySQL以将所有流量仅发送到一个MySQL主节点，写和读都发送到一个节点；
(2)检查stats_mysql_query_digest哪些是最昂贵的SELECT语句；
(3)确定哪些昂贵的语句应移至读节点；
(4)配置mysql_query_rules（创建规则）以仅将昂贵的SELECT语句发送给读者
总之，想法非常简单：仅发送那些你想发送的SQL给读节点，而不是发送所有SELECT语句。
我们来整理一下整个过程：
STEP1:去除规则，让所有SQL语句都在默认组上执行
mysql> delete from mysql_query_rules; Query OK, 2 rows affected (0.00 sec) mysql> LOAD MYSQL QUERY RULES TO RUNTIME; Query OK, 0 rows affected (0.00 sec) mysql> SAVE MYSQL QUERY RULES TO DISK; Query OK, 0 rows affected (0.01 sec)
STEP2:查找最昂贵的SQL
假设目前所有读写操作都在同一台机器上执行，且执行了很久，读写比例都具有代表性，我们可以使用stats_mysql_query_digest查找最昂贵的SQL，可以多维度进行查找。
（1）查找查询总耗时最多的5个SQL
mysql> SELECT digest,SUBSTR(digest_text,0,25),count_star,sum_time FROM stats_mysql_query_digest WHERE digest_text LIKE 'SELECT%' ORDER BY sum_time DESC LIMIT 5; +--------------------+--------------------------+------------+----------+ | digest | SUBSTR(digest_text,0,25) | count_star | sum_time | +--------------------+--------------------------+------------+----------+ | 0xBF001A0C13781C1D | SELECT c FROM sbtest1 WH | 9594 | 9837782 | | 0xC4771449056AB3AC | SELECT c FROM sbtest14 W | 9984 | 9756595 | | 0xD84E4E04982951C1 | SELECT c FROM sbtest9 WH | 9504 | 9596185 | | 0x9B090963F41AD781 | SELECT c FROM sbtest10 W | 9664 | 9530433 | | 0x9AF59B998A3688ED | SELECT c FROM sbtest2 WH | 9744 | 9513180 | +--------------------+--------------------------+------------+----------+ 5 rows in set (0.00 sec)
（2）查看执行次数最多的5个SQL语句
mysql> SELECT digest,SUBSTR(digest_text,0,25),count_star,sum_time FROM stats_mysql_query_digest WHERE digest_text LIKE 'SELECT%' ORDER BY count_star DESC LIMIT 5; +--------------------+--------------------------+------------+----------+ | digest | SUBSTR(digest_text,0,25) | count_star | sum_time | +--------------------+--------------------------+------------+----------+ | 0xC4771449056AB3AC | SELECT c FROM sbtest14 W | 9984 | 9756595 | | 0x9AF59B998A3688ED | SELECT c FROM sbtest2 WH | 9744 | 9513180 | | 0x9B090963F41AD781 | SELECT c FROM sbtest10 W | 9664 | 9530433 | | 0x03744DC190BC72C7 | SELECT c FROM sbtest5 WH | 9604 | 9343514 | | 0x1E7B7AC5611F30C2 | SELECT c FROM sbtest6 WH | 9594 | 9245838 | +--------------------+--------------------------+------------+----------+
（3）查看平均执行时间最长的5个SQL语句
mysql> SELECT digest,SUBSTR(digest_text,0,25),count_star,sum_time, sum_time/count_star as avg_time FROM stats_mysql_query_digest WHERE digest_text LIKE 'SELECT%' ORDER BY avg_time DESC LIMIT 5; +--------------------+--------------------------+------------+----------+----------+ | digest | SUBSTR(digest_text,0,25) | count_star | sum_time | avg_time | +--------------------+--------------------------+------------+----------+----------+ | 0x0DCAF47B4A363A7A | SELECT * from testdb.tes | 1 | 11400 | 11400 | | 0x2050E81DB9C7038E | select * from testdb.tes | 1 | 10817 | 10817 | | 0xF340A73F6EDA5B20 | SELECT c FROM sbtest11 W | 964 | 1726994 | 1791 | | 0xC867A28C90150A81 | SELECT DISTINCT c FROM s | 929 | 1282699 | 1380 | | 0x283AA9863F85EFC8 | SELECT DISTINCT c FROM s | 963 | 1318362 | 1369 | +--------------------+--------------------------+------------+----------+----------+
（4）查看平均执行时间最长的5个SQL语句，且满足平均执行时间大于1s，并显示该SQL执行时间占所有SQL执行时间的百分比
SELECT digest,SUBSTR(digest_text,0,25),count_star,sum_time,sum_time/count_star as avg_time,round(sum_time/1000000*100/(SELECT sum(sum_time/1000000) FROM stats_mysql_query_digest ),3) as pct FROM stats_mysql_query_digest WHERE digest_text LIKE 'SELECT%' AND sum_time/count_star > 1000000 ORDER BY avg_time DESC LIMIT 5;
说明：在测试该语句时，是使用sysbench压测出来的数据，发现存在一个sum_time非常大的SQL，导致在求sum(sum_time)时返回NULL值，故先做了预处理，把sum_time/1000000变为进行计算。
STEP3:结合digest和正则表达式实现路由
我们先观察一下，未使用路由规则时候的流量分布，可以看到，所有流量都到了hostgroup1
mysql> select hostgroup,schemaname,username,digest_text,count_star from stats_mysql_query_digest_reset; +-----------+--------------------+----------+---------------------------------------------------------------------+------------+ | hostgroup | schemaname | username | digest_text | count_star | +-----------+--------------------+----------+---------------------------------------------------------------------+------------+ | 1 | information_schema | usera | SET PROFILING = ? | 1 | | 1 | information_schema | usera | SHOW DATABASES | 3 | | 1 | information_schema | usera | SHOW VARIABLES LIKE ?; | 2 | | 1 | information_schema | usera | SET NAMES utf8mb4 | 3 | | 1 | tssysbench | usera | INSERT INTO sbtest15 (id, k, c, pad) VALUES (?, ?, ?, ?) | 1285 | | 1 | tssysbench | usera | INSERT INTO sbtest14 (id, k, c, pad) VALUES (?, ?, ?, ?) | 1309 | | 1 | tssysbench | usera | INSERT INTO sbtest13 (id, k, c, pad) VALUES (?, ?, ?, ?) | 1303 | | 1 | tssysbench | usera | INSERT INTO sbtest12 (id, k, c, pad) VALUES (?, ?, ?, ?) | 1240 | | 1 | tssysbench | usera | UPDATE sbtest3 SET k=k+? WHERE id=? | 1280 | | 1 | tssysbench | usera | UPDATE sbtest2 SET k=k+? WHERE id=? | 1280 | | 1 | tssysbench | usera | UPDATE sbtest1 SET k=k+? WHERE id=? | 1219 | | 1 | tssysbench | usera | SELECT DISTINCT c FROM sbtest15 WHERE id BETWEEN ? AND ? ORDER BY c | 1207 | | 1 | tssysbench | usera | SELECT DISTINCT c FROM sbtest14 WHERE id BETWEEN ? AND ? ORDER BY c | 1262 | | 1 | tssysbench | usera | SELECT DISTINCT c FROM sbtest11 WHERE id BETWEEN ? AND ? ORDER BY c | 1227 |
插入路由规则：
-- 根据digest插入规则，匹配特定的SQL语句 INSERT INTO mysql_query_rules (rule_id,active,digest,destination_hostgroup,apply) VALUES(1,1,'0x0DCAF47B4A363A7A',3,1); INSERT INTO mysql_query_rules (rule_id,active,digest,destination_hostgroup,apply) VALUES(2,1,'0x63F9BD89D906209B',3,1); INSERT INTO mysql_query_rules (rule_id,active,digest,destination_hostgroup,apply) VALUES(3,1,'0x10D8D9CC551E199B',3,1); INSERT INTO mysql_query_rules (rule_id,active,digest,destination_hostgroup,apply) VALUES(4,1,'0xC867A28C90150A81',3,1); INSERT INTO mysql_query_rules (rule_id,active,digest,destination_hostgroup,apply) VALUES(5,1,'0x283AA9863F85EFC8',3,1); INSERT INTO mysql_query_rules (rule_id,active,digest,destination_hostgroup,apply) VALUES(6,1,'0x16BD798E66615299',3,1); -- 根据正则表达式插入规则，匹配所有SELECT 开头的语句 INSERT INTO mysql_query_rules (rule_id,active,match_digest,destination_hostgroup,apply) VALUES(7,1,'^SELECT COUNT\(\*\)',3,1); -- 使规则生效、保存 LOAD MYSQL QUERY RULES TO RUNTIME; SAVE MYSQL QUERY RULES TO DISK;
STEP4:使用sysbench查询，再次查看流量分布，可以看到，符合路由条件的SQL语句已经转移到了hostgroup3执行。
mysql> select hostgroup,schemaname,username,digest_text,count_star from stats_mysql_query_digest_reset; +-----------+------------+----------+---------------------------------------------------------------------+------------+ | hostgroup | schemaname | username | digest_text | count_star | +-----------+------------+----------+---------------------------------------------------------------------+------------+ | 1 | tssysbench | usera | UPDATE sbtest3 SET k=k+? WHERE id=? | 863 | | 1 | tssysbench | usera | SELECT DISTINCT c FROM sbtest14 WHERE id BETWEEN ? AND ? ORDER BY c | 841 | | 3 | tssysbench | usera | SELECT DISTINCT c FROM sbtest13 WHERE id BETWEEN ? AND ? ORDER BY c | 765 | | 1 | tssysbench | usera | SELECT DISTINCT c FROM sbtest12 WHERE id BETWEEN ? AND ? ORDER BY c | 837 | | 3 | tssysbench | usera | SELECT DISTINCT c FROM sbtest11 WHERE id BETWEEN ? AND ? ORDER BY c | 813 | | 1 | tssysbench | usera | SELECT DISTINCT c FROM sbtest10 WHERE id BETWEEN ? AND ? ORDER BY c | 861 | | 1 | tssysbench | usera | SELECT DISTINCT c FROM sbtest9 WHERE id BETWEEN ? AND ? ORDER BY c | 835 | | 3 | tssysbench | usera | SELECT DISTINCT c FROM sbtest8 WHERE id BETWEEN ? AND ? ORDER BY c | 823 | | 1 | tssysbench | usera | SELECT DISTINCT c FROM sbtest6 WHERE id BETWEEN ? AND ? ORDER BY c | 834 | | 1 | tssysbench | usera | UPDATE sbtest5 SET c=? WHERE id=? | 870 | | 3 | tssysbench | usera | SELECT DISTINCT c FROM sbtest4 WHERE id BETWEEN ? AND ? ORDER BY c | 802 | | 1 | tssysbench | usera | UPDATE sbtest1 SET c=? WHERE id=? | 835 | | 1 | tssysbench | usera | SELECT DISTINCT c FROM sbtest3 WHERE id BETWEEN ? AND ? ORDER BY c | 838 | | 1 | tssysbench | usera | SELECT DISTINCT c FROM sbtest2 WHERE id BETWEEN ? AND ? ORDER BY c | 885
至此，以实现根据负载进行流量分发。
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附1：读写分离路由规则表解析
读写分离路由解析信息存放在mysql_query_rules表中，表的语法如下：
CREATE TABLE mysql_query_rules ( rule_id INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL, active INT CHECK (active IN (0,1)) NOT NULL DEFAULT 0, username VARCHAR, schemaname VARCHAR, flagIN INT CHECK (flagIN >= 0) NOT NULL DEFAULT 0, client_addr VARCHAR, proxy_addr VARCHAR, proxy_port INT, digest VARCHAR, match_digest VARCHAR, match_pattern VARCHAR, negate_match_pattern INT CHECK (negate_match_pattern IN (0,1)) NOT NULL DEFAULT 0, re_modifiers VARCHAR DEFAULT 'CASELESS', flagOUT INT CHECK (flagOUT >= 0), replace_pattern VARCHAR CHECK(CASE WHEN replace_pattern IS NULL THEN 1 WHEN replace_pattern IS NOT NULL AND match_pattern IS NOT NULL THEN 1 ELSE 0 END), destination_hostgroup INT DEFAULT NULL, cache_ttl INT CHECK(cache_ttl > 0), cache_empty_result INT CHECK (cache_empty_result IN (0,1)) DEFAULT NULL, reconnect INT CHECK (reconnect IN (0,1)) DEFAULT NULL, timeout INT UNSIGNED, retries INT CHECK (retries>=0 AND retries <=1000), delay INT UNSIGNED, next_query_flagIN INT UNSIGNED, mirror_flagOUT INT UNSIGNED, mirror_hostgroup INT UNSIGNED, error_msg VARCHAR, OK_msg VARCHAR, sticky_conn INT CHECK (sticky_conn IN (0,1)), multiplex INT CHECK (multiplex IN (0,1,2)), gtid_from_hostgroup INT UNSIGNED, log INT CHECK (log IN (0,1)), apply INT CHECK(apply IN (0,1)) NOT NULL DEFAULT 0, comment VARCHAR)
重要列的含义如下：
- rule_id ：规则的id，是主键，具有唯一非空特性，规则匹配时，按照rule_id从小到大匹配；
- active ：规则是否启用，1代表启用；
- username: : 匹配来自特定用户的流量；
- client_addr ：匹配来自特定客户端的流量；
- proxy_addr : 匹配特定本地IP上的传入流量；
- proxy_port : 匹配特定本地端口上的传入流量，具体见上面使用端口进行读写分离的方案；
- digest : 将查询与特定摘要匹配，每个相同的SQL文本都会生成一个唯一的diagst码(类似Oracle的sql_id)，按照码进行匹配；
- match_digest ：将查询摘要与正则表达式匹配；
- match_pattern：将查询文本与正则表达式匹配；
- destination_hostgroup：将匹配的查询路由到该主机组，除非存在已启动的事务并且已登录的用户将transaction_persistent标志设置为1（请
参见表mysql_users），否则将发生这种情况。 - cache_ttl ：查询结果缓存保留的时间(单位：s)；
- timeout ：执行匹配或重写的查询的最大超时（以毫秒为单位）。如果查询的运行时间超过特定阈值，则会自动终止该查询。如果未指定超时，则
mysql-default_query_timeout应用全局变量 - retries : 在执行查询检测到失败的情况下，重新执行查询的次数
- apply : 如果这只为1，则不再匹配后面的查询规则。
附2：本次实验用到的sysbench脚本
-- 准备阶段
sysbench /usr/share/sysbench/oltp_read_write.lua --mysql-host=192.168.10.10 --mysql-port=6033 --mysql-user=usera --mysql-password='123456' --mysql-db=tssysbench --db-driver=mysql --tables=15 --table-size=50000 --report-interval=10 --threads=4 --time=120 prepare
-- 测试阶段 sysbench /usr/share/sysbench/oltp_read_write.lua --mysql-host=192.168.10.10 --mysql-port=6033 --mysql-user=usera --mysql-password='123456' --mysql-db=tssysbench --db-driver=mysql --tables=15 --table-size=500000 --report-interval=10 --threads=4 --time=120 run
-- 清除阶段 sysbench /usr/share/sysbench/oltp_read_write.lua --mysql-host=192.168.10.10 --mysql-port=6033 --mysql-user=usera --mysql-password='123456' --mysql-db=tssysbench --db-driver=mysql --tables=15 --table-size=500000 --report-interval=10 --threads=4 --time=120 cleanup
【完】
