1 管理节点部署位置1.1. Dedicated Manager server and multiple MySQL (master,slaves) servers 使用专用的管理服务
1 管理节点部署位置
1.1. Dedicated Manager server and multiple MySQL (master,slaves) servers
使用专用的管理服务器管理多组MySQL主从服务器
Since MHA Manager uses very little CPU/Memory resources, you can manage lots of (master, slaves) pairs from single MHA Manager. It is even possible to manage 100+ pairs from single manager server.
1.2. Running MHA Manager on one of MySQL slaves
在一个从库上部署管理节点
If you have only one (master, slaves) pair, you may not like allocating dedicated hardware for MHA Manager because it adds relatively high costs. In such cases, running MHA Manager on one of slaves makes sense. Note that current version of MHA Manager connects to MySQL slave server via SSH even though the MySQL server is located on the same host as MHA Manager, so you need to enable SSH public key authentication from the same host.
2 不同主从配置下的主从切换场景
2.1 Single master, multiple slaves(单主多从)
M(RW) M(RW), promoted from S1 | | +------+------+ --(master crash)--> +-----+-----+ S1(R) S2(R) S3(R) S2(R) S3(R)This is the most common replication settings. MHA works very well here.
2.2 Single master, multiple slaves (one on remote datacenter) 单主多从,一个从位于远程数据中心
M(RW) M(RW), promoted from S1 | | +------+---------+ --(master crash)--> +-----+------+ S1(R) S2(R) Sr(R,no_master=1) S2(R) Sr(R,no_master=1)In many cases you want to deploy at least one slave server on a remote datacenter. When the master crashes, you may not want to promote the remote slave to the new master, but let one of other slaves running on the local datacenter become the new master. MHA supports such requirements. Setting no_master=1 in the configuration file makes the slave never becomes new master.
2.3 Single master, multiple slaves, one candidate master(单主多从,一个候选主)
M(RW)-----S0(R,candidate_master=1) M(RW), promoted from S0 | | +----+----+ --(master crash)--> +----+----+ S1(R) S2(R) S1(R) S2(R)In some cases you may want to promote a specific server to the new master if the current master crashes. In such cases, setting candidate_master=1 in the configuration file will help.
2.4 Multiple masters, multiple slaves(多主多从)
M(RW)M2(R,candidate_master=1) M(RW), promoted from M2 | | +----+----+ --(master crash)--> +----+----+ S(R) S2(R) S1(R) S2(R)In some cases you may want to use multi-master configurations, and you may want to make the read-only master the new master if the current master crashes. MHA Manager supports multi-master configurations as long as all non-primary masters (M2 in this figure) are read-only.
2.5 Three tier replication(三层复制架构)
M(RW) M(RW), promoted from S1 | | +------+---------+ --(master crash)--> +-----+------+ S1(R) S2(R) Sr(R) S2(R) Sr(R) | | + + Sr2 Sr2In some cases you may want to use three-tier replication like this. MHA can still be used for master failover. In the configuration file, manage the master and all second-tier slaves (in this figure, add M,S1,S2 and Sr in the MHA config file, but do not add Sr2). If the current master (M) fails, MHA automatically promotes one of the second-tier slaves(S1,S2,Sr, and you can also set priorities) to the new master, and recover the rest second-tier slaves. The third tier slave(Sr2) is not managed by MHA, but as long as Sr (Sr2's master) is alive, Sr2 can continue replication without changing anything.

ACID属性包括原子性、一致性、隔离性和持久性,是数据库设计的基石。1.原子性确保事务要么完全成功,要么完全失败。2.一致性保证数据库在事务前后保持一致状态。3.隔离性确保事务之间互不干扰。4.持久性确保事务提交后数据永久保存。

MySQL既是数据库管理系统(DBMS),也与编程语言紧密相关。1)作为DBMS,MySQL用于存储、组织和检索数据,优化索引可提高查询性能。2)通过SQL与编程语言结合,嵌入在如Python中,使用ORM工具如SQLAlchemy可简化操作。3)性能优化包括索引、查询、缓存、分库分表和事务管理。

MySQL使用SQL命令管理数据。1.基本命令包括SELECT、INSERT、UPDATE和DELETE。2.高级用法涉及JOIN、子查询和聚合函数。3.常见错误有语法、逻辑和性能问题。4.优化技巧包括使用索引、避免SELECT*和使用LIMIT。

MySQL是一种高效的关系型数据库管理系统,适用于存储和管理数据。其优势包括高性能查询、灵活的事务处理和丰富的数据类型。实际应用中,MySQL常用于电商平台、社交网络和内容管理系统,但需注意性能优化、数据安全和扩展性。

SQL和MySQL的关系是标准语言与具体实现的关系。1.SQL是用于管理和操作关系数据库的标准语言,允许进行数据的增、删、改、查。2.MySQL是一个具体的数据库管理系统,使用SQL作为其操作语言,并提供高效的数据存储和管理。

InnoDB使用redologs和undologs确保数据一致性和可靠性。1.redologs记录数据页修改,确保崩溃恢复和事务持久性。2.undologs记录数据原始值,支持事务回滚和MVCC。

EXPLAIN命令的关键指标包括type、key、rows和Extra。1)type反映查询的访问类型,值越高效率越高,如const优于ALL。2)key显示使用的索引,NULL表示无索引。3)rows预估扫描行数,影响查询性能。4)Extra提供额外信息,如Usingfilesort提示需要优化。

Usingtemporary在MySQL查询中表示需要创建临时表,常见于使用DISTINCT、GROUPBY或非索引列的ORDERBY。可以通过优化索引和重写查询避免其出现,提升查询性能。具体来说,Usingtemporary出现在EXPLAIN输出中时,意味着MySQL需要创建临时表来处理查询。这通常发生在以下情况:1)使用DISTINCT或GROUPBY时进行去重或分组;2)ORDERBY包含非索引列时进行排序;3)使用复杂的子查询或联接操作。优化方法包括:1)为ORDERBY和GROUPB


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