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 attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.

MySQL is an efficient relational database management system suitable for storing and managing data. Its advantages include high-performance queries, flexible transaction processing and rich data types. In practical applications, MySQL is often used in e-commerce platforms, social networks and content management systems, but attention should be paid to performance optimization, data security and scalability.

The relationship between SQL and MySQL is the relationship between standard languages and specific implementations. 1.SQL is a standard language used to manage and operate relational databases, allowing data addition, deletion, modification and query. 2.MySQL is a specific database management system that uses SQL as its operating language and provides efficient data storage and management.

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB


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