• 官方文档ProxySQL 1.4.2 现在支持原生集群!!!


    官方文档地址:https://proxysql.com/blog/proxysql-cluster/

    前言

    ProxySQL 是一个去中心化的代理,建议靠近应用部署。这种方法甚至可以很好地扩展到数百个节点,因为它被设计为在运行时很容易重新配置。
    这允许使用 Ansible/Chef/Puppet/Salt 等软件(按字母顺序)或 Etcd/Consul/ZooKeeper 等服务发现工具简单地配置 ProxySQL 实例群。
    此外,ProxySQL 是高度可定制的,可以在任何使用这些技术的设置中采用,甚至可以在自制工具中采用。

    然而,该解决方案有其缺点:

    • 其配置需要外部软件(即配置管理软件)
    • 多个实例无法本地同步其配置
    • 收敛时间不可预测
    • 没有针对脑裂(网络分区)的保护

    为了解决上述问题,ProxySQL 1.4.2 中引入了新功能以支持原生集群。
    正如我们已经指出的那样,这些功能是实验性的,可能会发生变化,尤其是因为路线图中的所有功能尚未实现。

    设置 3 节点 ProxySQL 集群

    我们将首先建立一个只有 3 个节点的集群。
    我们将使用以下引导配置文件/etc/proxysql.cnf。
    管理变量将主要设置为默认值,我们在任何情况下都指定它们以枚举新的集群变量。需要注意的重要一点是cluster_username和变量应指定也在中列出的cluster_password凭据。实际上,可以包含多组凭据。admin_credentialsadmin_credentials

    datadir="/var/lib/proxysql"
    
    admin_variables =
    {
            admin_credentials="admin:admin;cluster1:secret1pass"
            mysql_ifaces="0.0.0.0:6032"
            cluster_username="cluster1"
            cluster_password="secret1pass"
            cluster_check_interval_ms=200
            cluster_check_status_frequency=100
            cluster_mysql_query_rules_save_to_disk=true
            cluster_mysql_servers_save_to_disk=true
            cluster_mysql_users_save_to_disk=true
            cluster_proxysql_servers_save_to_disk=true
            cluster_mysql_query_rules_diffs_before_sync=3
            cluster_mysql_servers_diffs_before_sync=3
            cluster_mysql_users_diffs_before_sync=3
            cluster_proxysql_servers_diffs_before_sync=3
    }
    
    proxysql_servers =
    (
        {
            hostname="172.16.3.130"
            port=6032
            comment="proxysql130"
        },
        {
            hostname="172.16.3.131"
            port=6032
            comment="proxysql131"
        },
        {
            hostname="172.16.3.132"
            port=6032
            comment="proxysql132"
        }
    )
    

    在这个阶段,我们可以在所有 3 个节点上启动 proxysql。正如文档中所指出的,当集群处于活动状态时,proxysql 会为每个活动模块的配置生成校验和。
    让我们连接到任何 proxysql 管理界面,并检查当前的配置校验和:

    Admin130> SELECT * FROM runtime_checksums_values ORDER BY name;
    +-------------------+---------+------------+--------------------+
    | name              | version | epoch      | checksum           |
    +-------------------+---------+------------+--------------------+
    | admin_variables   | 0       | 0          |                    |
    | mysql_query_rules | 1       | 1504615779 | 0x0000000000000000 |
    | mysql_servers     | 1       | 1504615779 | 0x0000000000000000 |
    | mysql_users       | 1       | 1504615779 | 0x0000000000000000 |
    | mysql_variables   | 0       | 0          |                    |
    | proxysql_servers  | 1       | 1504615779 | 0x474020F334F98128 |
    +-------------------+---------+------------+--------------------+
    6 rows in set (0.00 sec)
    

    请注意,目前只有 4 个模块处于活动状态:

    • mysql_query_rules
    • mysql_servers
    • mysql_users
    • proxysql_servers

    未激活的模块具有version=0.
    具有空配置的模块具有零值校验和。
    Epoch 是一个 unix 时间戳。

    Admin130> SELECT name,FROM_UNIXTIME(epoch), checksum FROM runtime_checksums_values WHERE version ORDER BY name;
    +-------------------+----------------------+--------------------+
    | name              | FROM_UNIXTIME(epoch) | checksum           |
    +-------------------+----------------------+--------------------+
    | mysql_query_rules | 2017-09-05 12:49:39  | 0x0000000000000000 |
    | mysql_servers     | 2017-09-05 12:49:39  | 0x0000000000000000 |
    | mysql_users       | 2017-09-05 12:49:39  | 0x0000000000000000 |
    | proxysql_servers  | 2017-09-05 12:49:39  | 0x474020F334F98128 |
    +-------------------+----------------------+--------------------+
    4 rows in set (0.00 sec)
    

    要查看整个集群的状态,我们需要检查表stats_proxysql_servers_checksums:

    Admin130> SELECT * FROM stats_proxysql_servers_checksums;
    +--------------+------+-------------------+---------+------------+--------------------+------------+------------+------------+
    | hostname     | port | name              | version | epoch      | checksum           | changed_at | updated_at | diff_check |
    +--------------+------+-------------------+---------+------------+--------------------+------------+------------+------------+
    | 172.16.3.132 | 6032 | admin_variables   | 0       | 0          |                    | 0          | 1504618520 | 0          |
    | 172.16.3.132 | 6032 | mysql_query_rules | 1       | 1504615782 | 0x0000000000000000 | 1504615782 | 1504618520 | 0          |
    | 172.16.3.132 | 6032 | mysql_servers     | 1       | 1504615782 | 0x0000000000000000 | 1504615782 | 1504618520 | 0          |
    | 172.16.3.132 | 6032 | mysql_users       | 1       | 1504615782 | 0x0000000000000000 | 1504615782 | 1504618520 | 0          |
    | 172.16.3.132 | 6032 | mysql_variables   | 0       | 0          |                    | 0          | 1504618520 | 0          |
    | 172.16.3.132 | 6032 | proxysql_servers  | 1       | 1504615782 | 0x474020F334F98128 | 1504615782 | 1504618520 | 0          |
    | 172.16.3.131 | 6032 | admin_variables   | 0       | 0          |                    | 0          | 1504618520 | 0          |
    | 172.16.3.131 | 6032 | mysql_query_rules | 1       | 1504615780 | 0x0000000000000000 | 1504615781 | 1504618520 | 0          |
    | 172.16.3.131 | 6032 | mysql_servers     | 1       | 1504615780 | 0x0000000000000000 | 1504615781 | 1504618520 | 0          |
    | 172.16.3.131 | 6032 | mysql_users       | 1       | 1504615780 | 0x0000000000000000 | 1504615781 | 1504618520 | 0          |
    | 172.16.3.131 | 6032 | mysql_variables   | 0       | 0          |                    | 0          | 1504618520 | 0          |
    | 172.16.3.131 | 6032 | proxysql_servers  | 1       | 1504615780 | 0x474020F334F98128 | 1504615781 | 1504618520 | 0          |
    | 172.16.3.130 | 6032 | admin_variables   | 0       | 0          |                    | 0          | 1504618520 | 0          |
    | 172.16.3.130 | 6032 | mysql_query_rules | 1       | 1504615779 | 0x0000000000000000 | 1504615780 | 1504618520 | 0          |
    | 172.16.3.130 | 6032 | mysql_servers     | 1       | 1504615779 | 0x0000000000000000 | 1504615780 | 1504618520 | 0          |
    | 172.16.3.130 | 6032 | mysql_users       | 1       | 1504615779 | 0x0000000000000000 | 1504615780 | 1504618520 | 0          |
    | 172.16.3.130 | 6032 | mysql_variables   | 0       | 0          |                    | 0          | 1504618520 | 0          |
    | 172.16.3.130 | 6032 | proxysql_servers  | 1       | 1504615779 | 0x474020F334F98128 | 1504615780 | 1504618520 | 0          |
    +--------------+------+-------------------+---------+------------+--------------------+------------+------------+------------+
    18 rows in set (0.00 sec)
    

    不活动的模块有version=0,空配置也有零值,时间戳是“unix时间戳”:

    Admin130> SELECT hostname, port, name, version, FROM_UNIXTIME(epoch) epoch, checksum, FROM_UNIXTIME(changed_at) changed_at, FROM_UNIXTIME(updated_at) updated_at, diff_check, DATETIME('NOW') FROM stats_proxysql_servers_checksums WHERE version > 0 ORDER BY hostname, name;
    +--------------+------+-------------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    | hostname     | port | name              | version | epoch               | checksum           | changed_at          | updated_at          | diff_check | DATETIME('NOW')     |
    +--------------+------+-------------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    | 172.16.3.130 | 6032 | mysql_query_rules | 1       | 2017-09-05 12:49:39 | 0x0000000000000000 | 2017-09-05 12:49:40 | 2017-09-05 13:44:48 | 0          | 2017-09-05 13:44:48 |
    | 172.16.3.130 | 6032 | mysql_servers     | 1       | 2017-09-05 12:49:39 | 0x0000000000000000 | 2017-09-05 12:49:40 | 2017-09-05 13:44:48 | 0          | 2017-09-05 13:44:48 |
    | 172.16.3.130 | 6032 | mysql_users       | 1       | 2017-09-05 12:49:39 | 0x0000000000000000 | 2017-09-05 12:49:40 | 2017-09-05 13:44:48 | 0          | 2017-09-05 13:44:48 |
    | 172.16.3.130 | 6032 | proxysql_servers  | 1       | 2017-09-05 12:49:39 | 0x474020F334F98128 | 2017-09-05 12:49:40 | 2017-09-05 13:44:48 | 0          | 2017-09-05 13:44:48 |
    | 172.16.3.131 | 6032 | mysql_query_rules | 1       | 2017-09-05 12:49:40 | 0x0000000000000000 | 2017-09-05 12:49:41 | 2017-09-05 13:44:48 | 0          | 2017-09-05 13:44:48 |
    | 172.16.3.131 | 6032 | mysql_servers     | 1       | 2017-09-05 12:49:40 | 0x0000000000000000 | 2017-09-05 12:49:41 | 2017-09-05 13:44:48 | 0          | 2017-09-05 13:44:48 |
    | 172.16.3.131 | 6032 | mysql_users       | 1       | 2017-09-05 12:49:40 | 0x0000000000000000 | 2017-09-05 12:49:41 | 2017-09-05 13:44:48 | 0          | 2017-09-05 13:44:48 |
    | 172.16.3.131 | 6032 | proxysql_servers  | 1       | 2017-09-05 12:49:40 | 0x474020F334F98128 | 2017-09-05 12:49:41 | 2017-09-05 13:44:48 | 0          | 2017-09-05 13:44:48 |
    | 172.16.3.132 | 6032 | mysql_query_rules | 1       | 2017-09-05 12:49:42 | 0x0000000000000000 | 2017-09-05 12:49:42 | 2017-09-05 13:44:48 | 0          | 2017-09-05 13:44:48 |
    | 172.16.3.132 | 6032 | mysql_servers     | 1       | 2017-09-05 12:49:42 | 0x0000000000000000 | 2017-09-05 12:49:42 | 2017-09-05 13:44:48 | 0          | 2017-09-05 13:44:48 |
    | 172.16.3.132 | 6032 | mysql_users       | 1       | 2017-09-05 12:49:42 | 0x0000000000000000 | 2017-09-05 12:49:42 | 2017-09-05 13:44:48 | 0          | 2017-09-05 13:44:48 |
    | 172.16.3.132 | 6032 | proxysql_servers  | 1       | 2017-09-05 12:49:42 | 0x474020F334F98128 | 2017-09-05 12:49:42 | 2017-09-05 13:44:48 | 0          | 2017-09-05 13:44:48 |
    +--------------+------+-------------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    12 rows in set (0.00 sec)
    

    澄清一些领域:

    epoch是远程代理执行时产生的时间戳LOAD ... TO RUNTIME
    changed_at是本地代理检测到远程代理发生变化时记录的时间戳
    updated_at是本地代理从远程代理检索校验和的最后一个时间戳

    添加新用户

    现在我们已经启动并运行了 ProxySQL 集群,让我们看看配置是如何从单个节点传播到所有其他节点的。
    让我们首先在其中一个节点上添加一个新用户。

    Admin130> SELECT * FROM mysql_users;
    Empty set (0.00 sec)
    
    Admin130> INSERT INTO mysql_users(username,password) VALUES ('sbtest','sbtest');
    Query OK, 1 row affected (0.00 sec)
    
    Admin130> SELECT * FROM mysql_users;
    +----------+----------+--------+---------+-------------------+----------------+---------------+------------------------+--------------+---------+----------+-----------------+
    | username | password | active | use_ssl | default_hostgroup | default_schema | schema_locked | transaction_persistent | fast_forward | backend | frontend | max_connections |
    +----------+----------+--------+---------+-------------------+----------------+---------------+------------------------+--------------+---------+----------+-----------------+
    | sbtest   | sbtest   | 1      | 0       | 0                 | NULL           | 0             | 1                      | 0            | 1       | 1        | 10000           |
    +----------+----------+--------+---------+-------------------+----------------+---------------+------------------------+--------------+---------+----------+-----------------+
    1 row in set (0.00 sec)
    
    Admin130> SELECT * FROM runtime_mysql_users;
    Empty set (0.00 sec)
    

    从上面的例子我们可以看到,运行时没有加载用户,我们只是在内存中创建了一个新用户。
    是时候将它加载到运行时,看看接下来会发生什么:

    Admin130> LOAD MYSQL USERS TO RUNTIME;
    Query OK, 0 rows affected (0.00 sec)
    
    Admin> SELECT hostname, port, name, version, FROM_UNIXTIME(epoch) epoch, checksum, FROM_UNIXTIME(changed_at) changed_at, FROM_UNIXTIME(updated_at) updated_at, diff_check, DATETIME('NOW') FROM stats_proxysql_servers_checksums WHERE version > 0 ORDER BY hostname, name;
    +--------------+------+-------------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    | hostname     | port | name              | version | epoch               | checksum           | changed_at          | updated_at          | diff_check | DATETIME('NOW')     |
    +--------------+------+-------------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    | 172.16.3.130 | 6032 | mysql_query_rules | 1       | 2017-09-05 12:49:39 | 0x0000000000000000 | 2017-09-05 12:49:40 | 2017-09-05 13:47:52 | 0          | 2017-09-05 13:47:53 |
    | 172.16.3.130 | 6032 | mysql_servers     | 1       | 2017-09-05 12:49:39 | 0x0000000000000000 | 2017-09-05 12:49:40 | 2017-09-05 13:47:52 | 0          | 2017-09-05 13:47:53 |
    | 172.16.3.130 | 6032 | mysql_users       | 2       | 2017-09-05 13:47:48 | 0x7917CD487C11478F | 2017-09-05 13:47:48 | 2017-09-05 13:47:52 | 0          | 2017-09-05 13:47:53 |
    | 172.16.3.130 | 6032 | proxysql_servers  | 1       | 2017-09-05 12:49:39 | 0x474020F334F98128 | 2017-09-05 12:49:40 | 2017-09-05 13:47:52 | 0          | 2017-09-05 13:47:53 |
    | 172.16.3.131 | 6032 | mysql_query_rules | 1       | 2017-09-05 12:49:40 | 0x0000000000000000 | 2017-09-05 12:49:41 | 2017-09-05 13:47:53 | 0          | 2017-09-05 13:47:53 |
    | 172.16.3.131 | 6032 | mysql_servers     | 1       | 2017-09-05 12:49:40 | 0x0000000000000000 | 2017-09-05 12:49:41 | 2017-09-05 13:47:53 | 0          | 2017-09-05 13:47:53 |
    | 172.16.3.131 | 6032 | mysql_users       | 2       | 2017-09-05 13:47:48 | 0x7917CD487C11478F | 2017-09-05 13:47:49 | 2017-09-05 13:47:53 | 0          | 2017-09-05 13:47:53 |
    | 172.16.3.131 | 6032 | proxysql_servers  | 1       | 2017-09-05 12:49:40 | 0x474020F334F98128 | 2017-09-05 12:49:41 | 2017-09-05 13:47:53 | 0          | 2017-09-05 13:47:53 |
    | 172.16.3.132 | 6032 | mysql_query_rules | 1       | 2017-09-05 12:49:42 | 0x0000000000000000 | 2017-09-05 12:49:42 | 2017-09-05 13:47:53 | 0          | 2017-09-05 13:47:53 |
    | 172.16.3.132 | 6032 | mysql_servers     | 1       | 2017-09-05 12:49:42 | 0x0000000000000000 | 2017-09-05 12:49:42 | 2017-09-05 13:47:53 | 0          | 2017-09-05 13:47:53 |
    | 172.16.3.132 | 6032 | mysql_users       | 2       | 2017-09-05 13:47:48 | 0x7917CD487C11478F | 2017-09-05 13:47:49 | 2017-09-05 13:47:53 | 0          | 2017-09-05 13:47:53 |
    | 172.16.3.132 | 6032 | proxysql_servers  | 1       | 2017-09-05 12:49:42 | 0x474020F334F98128 | 2017-09-05 12:49:42 | 2017-09-05 13:47:53 | 0          | 2017-09-05 13:47:53 |
    +--------------+------+-------------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    12 rows in set (0.00 sec)
    
    Admin130> SELECT hostname, port, name, version, FROM_UNIXTIME(epoch) epoch, checksum, FROM_UNIXTIME(changed_at) changed_at, FROM_UNIXTIME(updated_at) updated_at, diff_check, DATETIME('NOW') FROM stats_proxysql_servers_checksums WHERE name='mysql_users' ORDER BY hostname, name;
    +--------------+------+-------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    | hostname     | port | name        | version | epoch               | checksum           | changed_at          | updated_at          | diff_check | DATETIME('NOW')     |
    +--------------+------+-------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    | 172.16.3.130 | 6032 | mysql_users | 2       | 2017-09-05 13:47:48 | 0x7917CD487C11478F | 2017-09-05 13:47:48 | 2017-09-05 13:48:21 | 0          | 2017-09-05 13:48:21 |
    | 172.16.3.131 | 6032 | mysql_users | 2       | 2017-09-05 13:47:48 | 0x7917CD487C11478F | 2017-09-05 13:47:49 | 2017-09-05 13:48:21 | 0          | 2017-09-05 13:48:21 |
    | 172.16.3.132 | 6032 | mysql_users | 2       | 2017-09-05 13:47:48 | 0x7917CD487C11478F | 2017-09-05 13:47:49 | 2017-09-05 13:48:21 | 0          | 2017-09-05 13:48:21 |
    +--------------+------+-------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    3 rows in set (0.00 sec)
    

    我们在 172.16.3.130 上应用了更改,并且更改几乎立即传播到其他任何地方。
    检查 172.16.3.131 上的日志,我们可以看到同步期间生成的日志条目:

    2017-09-05 14:47:48 [INFO] Cluster: detected a new checksum for mysql_users from peer 172.16.3.130:6032, version 2, epoch 1504619268, checksum 0x7917CD487C11478F . Not syncing yet ...
    2017-09-05 14:47:48 [INFO] Cluster: detected a peer 172.16.3.130:6032 with mysql_users version 2, epoch 1504619268, diff_check 3\. Own version: 1, epoch: 1504615780\. Proceeding with remote sync
    2017-09-05 14:47:48 [INFO] Cluster: detected a peer 172.16.3.130:6032 with mysql_users version 2, epoch 1504619268, diff_check 4\. Own version: 1, epoch: 1504615780\. Proceeding with remote sync
    2017-09-05 14:47:48 [INFO] Cluster: detected peer 172.16.3.130:6032 with mysql_users version 2, epoch 1504619268
    2017-09-05 14:47:48 [INFO] Cluster: Fetching MySQL Users from peer 172.16.3.130:6032 started
    2017-09-05 14:47:48 [INFO] Cluster: Fetching MySQL Users from peer 172.16.3.130:6032 completed
    2017-09-05 14:47:48 [INFO] Cluster: Loading to runtime MySQL Users from peer 172.16.3.130:6032
    2017-09-05 14:47:48 [INFO] Cluster: Saving to disk MySQL Query Rules from peer 172.16.3.130:6032
    2017-09-05 14:47:48 [INFO] Cluster: detected a new checksum for mysql_users from peer 172.16.3.132:6032, version 2, epoch 1504619268, checksum 0x7917CD487C11478F . Not syncing yet ...
    2017-09-05 14:47:48 [INFO] Cluster: checksum for mysql_users from peer 172.16.3.132:6032 matches with local checksum 0x7917CD487C11478F , we won't sync.
    2017-09-05 14:47:49 [INFO] Cluster: detected a new checksum for mysql_users from peer 172.16.3.131:6032, version 2, epoch 1504619268, checksum 0x7917CD487C11478F . Not syncing yet ...
    2017-09-05 14:47:49 [INFO] Cluster: checksum for mysql_users from peer 172.16.3.131:6032 matches with local checksum 0x7917CD487C11478F , we won't sync.
    

    发生了什么?

    ProxySQL 检测到表的校验和发生变化mysql_users
    当diff_check达到阈值时,同步过程被初始化
    MySQL 用户从 172.16.3.130:6032 获取
    MySQL 用户加载到运行时
    MySQL 用户也被保存到磁盘,因为cluster_mysql_users_save_to_disk=true
    还从 172.16.3.132:6032 检测到新的校验和,但它与本地校验和匹配,因此无需同步
    还从 172.16.3.131:6032 (即同一个 proxysql 实例)检测到一个新的校验和,但它与本地校验和匹配,因此无需再次同步

    现在让我们直接在 172.16.3.131:6032(一个不同的节点)上添加一个新用户。
    我们首先验证存在哪些用户,然后添加一个新用户:

    Admin131> SELECT hostname, port, name, version, FROM_UNIXTIME(epoch) epoch, checksum, FROM_UNIXTIME(changed_at) changed_at, FROM_UNIXTIME(updated_at) updated_at, diff_check, DATETIME('NOW') FROM stats_proxysql_servers_checksums WHERE name='mysql_users' ORDER BY hostname, name;
    +--------------+------+-------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    | hostname     | port | name        | version | epoch               | checksum           | changed_at          | updated_at          | diff_check | DATETIME('NOW')     |
    +--------------+------+-------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    | 172.16.3.130 | 6032 | mysql_users | 2       | 2017-09-05 13:47:48 | 0x7917CD487C11478F | 2017-09-05 13:47:48 | 2017-09-05 14:52:32 | 0          | 2017-09-05 14:52:32 |
    | 172.16.3.131 | 6032 | mysql_users | 2       | 2017-09-05 13:47:48 | 0x7917CD487C11478F | 2017-09-05 13:47:49 | 2017-09-05 14:52:32 | 0          | 2017-09-05 14:52:32 |
    | 172.16.3.132 | 6032 | mysql_users | 2       | 2017-09-05 13:47:48 | 0x7917CD487C11478F | 2017-09-05 13:47:48 | 2017-09-05 14:52:32 | 0          | 2017-09-05 14:52:32 |
    +--------------+------+-------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    3 rows in set (0.00 sec)
    
    Admin131> SELECT * FROM mysql_users;
     +----------+-------------------------------------------+--------+---------+-------------------+----------------+---------------+------------------------+--------------+---------+----------+-----------------+
    | username | password                                  | active | use_ssl | default_hostgroup | default_schema | schema_locked | transaction_persistent | fast_forward | backend | frontend | max_connections |
    +----------+-------------------------------------------+--------+---------+-------------------+----------------+---------------+------------------------+--------------+---------+----------+-----------------+
    | sbtest   | *2AFD99E79E4AA23DE141540F4179F64FFB3AC521 | 1      | 0       | 0                 |                | 0             | 1                      | 0            | 0       | 1        | 10000           |
    | sbtest   | *2AFD99E79E4AA23DE141540F4179F64FFB3AC521 | 1      | 0       | 0                 |                | 0             | 1                      | 0            | 1       | 0        | 10000           |
    +----------+-------------------------------------------+--------+---------+-------------------+----------------+---------------+------------------------+--------------+---------+----------+-----------------+
    2 rows in set (0.00 sec)
    
    Admin131> INSERT INTO mysql_users (username,password) VALUES ('user1','password1');
    Query OK, 1 row affected (0.00 sec)
    
    Admin131> LOAD MYSQL USERS TO RUNTIME;
    Query OK, 0 rows affected (0.00 sec)
    
    Admin131> SELECT hostname, port, name, version, FROM_UNIXTIME(epoch) epoch, checksum, FROM_UNIXTIME(changed_at) changed_at, FROM_UNIXTIME(updated_at) updated_at, diff_check, DATETIME('NOW') FROM stats_proxysql_servers_checksums WHERE name='mysql_users' ORDER BY hostname, name;
    +--------------+------+-------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    | hostname     | port | name        | version | epoch               | checksum           | changed_at          | updated_at          | diff_check | DATETIME('NOW')     |
    +--------------+------+-------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    | 172.16.3.130 | 6032 | mysql_users | 3       | 2017-09-05 14:53:45 | 0x7C60129E5360AC28 | 2017-09-05 14:53:45 | 2017-09-05 14:53:48 | 0          | 2017-09-05 14:53:48 |
    | 172.16.3.131 | 6032 | mysql_users | 3       | 2017-09-05 14:53:44 | 0x7C60129E5360AC28 | 2017-09-05 14:53:45 | 2017-09-05 14:53:48 | 0          | 2017-09-05 14:53:48 |
    | 172.16.3.132 | 6032 | mysql_users | 3       | 2017-09-05 14:53:45 | 0x7C60129E5360AC28 | 2017-09-05 14:53:45 | 2017-09-05 14:53:47 | 0          | 2017-09-05 14:53:48 |
    +--------------+------+-------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    3 rows in set (0.00 sec)
    

    同样在这种情况下,配置会立即传播到所有节点。

    有趣的是,在LOAD TO RUNTIME不执行任何更改的情况下运行时会发生什么。

    Admin131> LOAD MYSQL USERS TO RUNTIME;
    Query OK, 0 rows affected (0.00 sec)
    
    Admin131> SELECT hostname, port, name, version, FROM_UNIXTIME(epoch) epoch, checksum, FROM_UNIXTIME(changed_at) changed_at, FROM_UNIXTIME(updated_at) updated_at, diff_check, DATETIME('NOW') FROM stats_proxysql_servers_checksums WHERE name='mysql_users' ORDER BY hostname, name;
    +--------------+------+-------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    
    | hostname     | port | name        | version | epoch               | checksum           | changed_at          | updated_at          | diff_check | DATETIME('NOW')     |
    
    +--------------+------+-------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    | 172.16.3.130 | 6032 | mysql_users | 3       | 2017-09-05 14:53:45 | 0x7C60129E5360AC28 | 2017-09-05 14:53:45 | 2017-09-05 14:55:45 | 0          | 2017-09-05 14:55:45 |
    | 172.16.3.131 | 6032 | mysql_users | 4       | 2017-09-05 14:55:44 | 0x7C60129E5360AC28 | 2017-09-05 14:53:45 | 2017-09-05 14:55:45 | 0          | 2017-09-05 14:55:45 |
    | 172.16.3.132 | 6032 | mysql_users | 3       | 2017-09-05 14:53:45 | 0x7C60129E5360AC28 | 2017-09-05 14:53:45 | 2017-09-05 14:55:45 | 0          | 2017-09-05 14:55:45 |
    +--------------+------+-------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    3 rows in set (0.00 sec)
    

    在 proxysql131 上,version增加 1,但校验和不会改变。这意味着不会触发同步,因为不需要它。
    同样,version其他节点上的 不会改变,因为它们不会重新执行LOAD ... TO RUNTIME。

    创建新的查询规则

    我们刚刚看到了如何在一个 ProxySQL 节点中创建新用户,并立即被其他节点检测到。
    现在是展示同步 MySQL 查询规则的时候了。

    让我们首先在没有任何特定行为的节点中创建新的查询规则。

    Admin130> SELECT * FROM mysql_query_rules;
    Empty set (0.00 sec)
    
    Admin130> INSERT INTO mysql_query_rules (schemaname, destination_hostgroup) VALUES ('shard001',1);
    Query OK, 1 row affected (0.00 sec)
    
    Admin130> INSERT INTO mysql_query_rules (schemaname, destination_hostgroup) VALUES ('shard002',1);
    Query OK, 1 row affected (0.00 sec)
    
    Admin130> INSERT INTO mysql_query_rules (schemaname, destination_hostgroup) VALUES ('shard003',1);
    Query OK, 1 row affected (0.00 sec)
    
    Admin130> INSERT INTO mysql_query_rules (schemaname, destination_hostgroup) VALUES ('shard004',1);
    Query OK, 1 row affected (0.00 sec)
    
    Admin130> INSERT INTO mysql_query_rules (schemaname, destination_hostgroup) VALUES ('shard005',2), ('shard006',2), ('shard007',2), ('shard008',2);
    Query OK, 4 rows affected (0.00 sec)
    
    Admin130> UPDATE mysql_query_rules SET active=1, apply=1 WHERE destination_hostgroup IN (1,2);
    Query OK, 8 rows affected (0.00 sec)
    

    让我们检查一下当前的查询规则:

    Admin130> SELECT rule_id,schemaname,destination_hostgroup,apply FROM mysql_query_rules WHERE active=1;
    +---------+------------+-----------------------+-------+
    | rule_id | schemaname | destination_hostgroup | apply |
    +---------+------------+-----------------------+-------+
    | 1       | shard001   | 1                     | 1     |
    | 2       | shard002   | 1                     | 1     |
    | 3       | shard003   | 1                     | 1     |
    | 4       | shard004   | 1                     | 1     |
    | 5       | shard005   | 2                     | 1     |
    | 6       | shard006   | 2                     | 1     |
    | 7       | shard007   | 2                     | 1     |
    | 8       | shard008   | 2                     | 1     |
    +---------+------------+-----------------------+-------+
    8 rows in set (0.00 sec)
    

    在另一个节点上,比如 proxysql131,没有规则:

    Admin131> SELECT rule_id,schemaname,destination_hostgroup,apply FROM mysql_query_rules WHERE active=1;
    Empty set (0.00 sec)
    
    Admin131> SELECT rule_id,schemaname,destination_hostgroup,apply FROM runtime_mysql_query_rules WHERE active=1;
    Empty set (0.00 sec)
    

    现在是时候将规则加载到 proxysql130 上的运行时:

    Admin130> SELECT name,FROM_UNIXTIME(epoch), checksum FROM runtime_checksums_values WHERE name='mysql_query_rules';
    +-------------------+----------------------+--------------------+
    | name              | FROM_UNIXTIME(epoch) | checksum           |
    +-------------------+----------------------+--------------------+
    | mysql_query_rules | 2017-09-05 23:03:53  | 0x0000000000000000 |
    +-------------------+----------------------+--------------------+
    1 row in set (0.00 sec)
    
    Admin130> SELECT hostname, port, name, version, FROM_UNIXTIME(epoch) epoch, checksum, FROM_UNIXTIME(changed_at) changed_at, FROM_UNIXTIME(updated_at) updated_at, diff_check, DATETIME('NOW') FROM stats_proxysql_servers_checksums WHERE name='mysql_query_rules' ORDER BY hostname, name;
    +--------------+------+-------------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    | hostname     | port | name              | version | epoch               | checksum           | changed_at          | updated_at          | diff_check | DATETIME('NOW')     |
    +--------------+------+-------------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    | 172.16.3.130 | 6032 | mysql_query_rules | 1       | 2017-09-05 23:03:53 | 0x0000000000000000 | 2017-09-05 23:03:53 | 2017-09-05 23:04:47 | 0          | 2017-09-05 23:04:47 |
    | 172.16.3.131 | 6032 | mysql_query_rules | 1       | 2017-09-05 23:03:53 | 0x0000000000000000 | 2017-09-05 23:03:54 | 2017-09-05 23:04:47 | 0          | 2017-09-05 23:04:47 |
    | 172.16.3.132 | 6032 | mysql_query_rules | 1       | 2017-09-05 23:03:54 | 0x0000000000000000 | 2017-09-05 23:03:55 | 2017-09-05 23:04:47 | 0          | 2017-09-05 23:04:47 |
    +--------------+------+-------------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    3 rows in set (0.00 sec)
    
    Admin130> LOAD MYSQL QUERY RULES TO RUNTIME;
    Query OK, 0 rows affected (0.00 sec)
    
    Admin130> SELECT name,FROM_UNIXTIME(epoch), checksum FROM runtime_checksums_values WHERE name='mysql_query_rules';
    +-------------------+----------------------+--------------------+
    | name              | FROM_UNIXTIME(epoch) | checksum           |
    +-------------------+----------------------+--------------------+
    | mysql_query_rules | 2017-09-05 23:04:51  | 0xE2F5A21142C799C0 |
    +-------------------+----------------------+--------------------+
    1 row in set (0.00 sec)
    
    Admin130> SELECT hostname, port, name, version, FROM_UNIXTIME(epoch) epoch, checksum, FROM_UNIXTIME(changed_at) changed_at, FROM_UNIXTIME(updated_at) updated_at, diff_check, DATETIME('NOW') FROM stats_proxysql_servers_checksums WHERE name='mysql_query_rules' ORDER BY hostname, name;
    +--------------+------+-------------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    | hostname     | port | name              | version | epoch               | checksum           | changed_at          | updated_at          | diff_check | DATETIME('NOW')     |
    +--------------+------+-------------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    | 172.16.3.130 | 6032 | mysql_query_rules | 2       | 2017-09-05 23:04:51 | 0xE2F5A21142C799C0 | 2017-09-05 23:04:51 | 2017-09-05 23:06:22 | 0          | 2017-09-05 23:06:23 |
    | 172.16.3.131 | 6032 | mysql_query_rules | 2       | 2017-09-05 23:04:52 | 0xE2F5A21142C799C0 | 2017-09-05 23:04:52 | 2017-09-05 23:06:23 | 0          | 2017-09-05 23:06:23 |
    | 172.16.3.132 | 6032 | mysql_query_rules | 2       | 2017-09-05 23:04:52 | 0xE2F5A21142C799C0 | 2017-09-05 23:04:52 | 2017-09-05 23:06:23 | 0          | 2017-09-05 23:06:23 |
    +--------------+------+-------------------+---------+---------------------+--------------------+---------------------+---------------------+------------+---------------------+
    3 rows in set (0.00 sec)
    

    从上面我们可以看出,其他节点立即检测到信息,并立即与具有最新更改的节点同步。

    让我们检查一下proxysql131上的日志:

    2017-09-06 00:04:51 ProxySQL_Cluster.cpp:325:set_checksums(): [INFO] Cluster: detected a new checksum for mysql_query_rules from peer 172.16.3.130:6032, version 2, epoch 1504652691, checksum 0xE2F5A21142C799C0 . Not syncing yet ...
    2017-09-06 00:04:52 ProxySQL_Cluster.cpp:473:set_checksums(): [INFO] Cluster: detected a peer 172.16.3.130:6032 with mysql_query_rules version 2, epoch 1504652691, diff_check 3\. Own version: 1, epoch: 1504652633\. Proceeding with remote sync
    2017-09-06 00:04:52 ProxySQL_Cluster.cpp:473:set_checksums(): [INFO] Cluster: detected a peer 172.16.3.130:6032 with mysql_query_rules version 2, epoch 1504652691, diff_check 4\. Own version: 1, epoch: 1504652633\. Proceeding with remote sync
    2017-09-06 00:04:52 ProxySQL_Cluster.cpp:1106:get_peer_to_sync_mysql_query_rules(): [INFO] Cluster: detected peer 172.16.3.130:6032 with mysql_query_rules version 2, epoch 1504652691
    2017-09-06 00:04:52 ProxySQL_Cluster.cpp:572:pull_mysql_query_rules_from_peer(): [INFO] Cluster: Fetching MySQL Query Rules from peer 172.16.3.130:6032 started
    2017-09-06 00:04:52 ProxySQL_Cluster.cpp:622:pull_mysql_query_rules_from_peer(): [INFO] Cluster: Fetching MySQL Query Rules from peer 172.16.3.130:6032 completed
    2017-09-06 00:04:52 ProxySQL_Cluster.cpp:623:pull_mysql_query_rules_from_peer(): [INFO] Cluster: Loading to runtime MySQL Servers from peer 172.16.3.130:6032
    2017-09-06 00:04:52 ProxySQL_Cluster.cpp:626:pull_mysql_query_rules_from_peer(): [INFO] Cluster: Saving to disk MySQL Query Rules from peer 172.16.3.130:6032
    2017-09-06 00:04:52 ProxySQL_Cluster.cpp:325:set_checksums(): [INFO] Cluster: detected a new checksum for mysql_query_rules from peer 172.16.3.132:6032, version 2, epoch 1504652692, checksum 0xE2F5A21142C799C0 . Not syncing yet ...
    2017-09-06 00:04:52 ProxySQL_Cluster.cpp:327:set_checksums(): [INFO] Cluster: checksum for mysql_query_rules from peer 172.16.3.132:6032 matches with local checksum 0xE2F5A21142C799C0 , we won't sync.
    2017-09-06 00:04:52 ProxySQL_Cluster.cpp:325:set_checksums(): [INFO] Cluster: detected a new checksum for mysql_query_rules from peer 172.16.3.131:6032, version 2, epoch 1504652692, checksum 0xE2F5A21142C799C0 . Not syncing yet ...
    2017-09-06 00:04:52 ProxySQL_Cluster.cpp:327:set_checksums(): [INFO] Cluster: checksum for mysql_query_rules from peer 172.16.3.131:6032 matches with local checksum 0xE2F5A21142C799C0 , we won't sync.
    
    

    同样在这种情况下,我们可以看到检测到更改,并且在短时间内所有节点都同步。

    结论

    在第一篇关于 ProxySQL Cluster 的博客文章中,我们展示了多个 ProxySQL 实例如何相互了解,以及我们如何为任何 proxysql 实例创建新用户和新查询规则,以及如何将这些信息立即传播到所有其他节点。

  • 相关阅读:
    Spark Streaming
    RDD转换DataFrame
    Spark学习笔记之-Spark远程调试
    Spark集群模式&Spark程序提交
    spark-submit的参数名称解析
    Scala java maven开发环境搭建
    git报错之index.lock
    mongodb导出数据表命令之mongoexport
    用casperjs模拟登录,支持多个账户登录
    关于casperjs的wait方法的执行顺序
  • 原文地址:https://www.cnblogs.com/sanduzxcvbnm/p/16306516.html
Copyright © 2020-2023  润新知