The core of cross-regional disaster recovery is to ensure business continuity through data replication and automatic switching. 1. Data replication methods include asynchronous replication (the best performance but may lose data), semi-synchronous replication (balanced consistency and availability) and group replication (high availability but high complexity), and are selected according to data tolerance; 2. Network latency and bandwidth affect replication efficiency, and it is recommended to compress transmission, merge transactions, and monitor delays; 3. The switching strategy is divided into manual and automatic. Automatic switching requires health checks and drills to avoid missed switching; 4. The multi-active architecture is a hot backup, which can be switched at any time but has high cost. Cold backup is suitable for non-core systems and has a long recovery time.
MySQL cross-regional disaster recovery is actually deploying database instances in different geographical regions to deal with regional failures or disasters. The core idea is to quickly switch traffic to the backup area when the main area is unavailable through data replication and automatic switching mechanisms, thereby ensuring business continuity.

1. Select data copy method
The key to cross-regional disaster recovery is how data is synchronized between different regions. Commonly used solutions are:
- Asynchronous Replication : The lowest latency, the best performance, but may lose data.
- Semisynchronous Replication : Receive logs at least one slave node before committing a transaction, balancing availability and consistency.
- Group Replication : Supports multi-write mode, suitable for high-availability scenarios, but has complex configuration and high resource consumption.
If you have low tolerance for data loss, it is recommended to give priority to semi-synchronous replication or group replication; if you value performance more and you can accept a small amount of data loss, then asynchronous replication is enough.

2. Network latency and bandwidth impact
Crossing regions often means higher network latency and limited bandwidth. This has a great impact on replication efficiency, especially for semi-synchronous and group replication.
Some optimization suggestions:

- Reduce bandwidth usage using compressed transfers (such as enabling
binlog_compression
) - Avoid frequent small transaction submissions, appropriate merge operations to reduce the number of network interactions
- Monitor master-slave delay metrics (such as
Seconds_Behind_Master
) to detect exceptions in a timely manner
If your master-slave nodes are deployed in East China and North China respectively, the delay may reach tens of milliseconds. At this time, asynchronous replication will be easier to maintain stability than semi-synchronous.
3. Switching strategies and automation
When there is really a problem in the main area, how can I quickly switch to the alternate node? There are two directions here:
- Manual switching : suitable for systems with low RTO (recovery time target) requirements, safe and controllable.
- Automatic switching : It requires cooperation with health checks, split brain detection and other mechanisms, such as using Orchestrator or MHA tools.
Some points to pay attention to when switching automatically:
- Don't switch because of short network jitter
- After switching, make sure that the data of the new master node is up to date.
- The application layer must also be able to perceive changes and update the connection address
It is generally recommended to do a complete drill first, simulate the main node downtime to see if the switch is normal, and don’t wait until something really happens to test it for the first time.
4. Multi-living architecture or cold-preparation?
There is another key decision in the disaster recovery plan: Are you planning to build a "hot backup" that is available at any time, or just put a cold backup and remain unmoved?
- Hot Standby : Real-time data synchronization, can be switched at any time, with high cost but low RTO/RPO.
- Cold Standby : The regular backup and recovery process is low but the recovery time is long.
If it is a financial system, you must choose hot backup or even multi-active architecture; for non-core businesses such as internal management systems, cold backup and script recovery is enough.
Basically that's it. Cross-regional disaster recovery is not something that can be achieved overnight. The plan must be determined based on business level, budget, and technical capabilities. The details that are easy to ignore include network fluctuation processing, DNS switching delay, permission configuration differences, etc., which are worth taking time to verify.
The above is the detailed content of Implementing MySQL Cross-Region Disaster Recovery. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

TosecurelyconnecttoaremoteMySQLserver,useSSHtunneling,configureMySQLforremoteaccess,setfirewallrules,andconsiderSSLencryption.First,establishanSSHtunnelwithssh-L3307:localhost:3306user@remote-server-Nandconnectviamysql-h127.0.0.1-P3307.Second,editMyS

mysqldump is a common tool for performing logical backups of MySQL databases. It generates SQL files containing CREATE and INSERT statements to rebuild the database. 1. It does not back up the original file, but converts the database structure and content into portable SQL commands; 2. It is suitable for small databases or selective recovery, and is not suitable for fast recovery of TB-level data; 3. Common options include --single-transaction, --databases, --all-databases, --routines, etc.; 4. Use mysql command to import during recovery, and can turn off foreign key checks to improve speed; 5. It is recommended to test backup regularly, use compression, and automatic adjustment.

Turn on MySQL slow query logs and analyze locationable performance issues. 1. Edit the configuration file or dynamically set slow_query_log and long_query_time; 2. The log contains key fields such as Query_time, Lock_time, Rows_examined to assist in judging efficiency bottlenecks; 3. Use mysqldumpslow or pt-query-digest tools to efficiently analyze logs; 4. Optimization suggestions include adding indexes, avoiding SELECT*, splitting complex queries, etc. For example, adding an index to user_id can significantly reduce the number of scanned rows and improve query efficiency.

When handling NULL values ??in MySQL, please note: 1. When designing the table, the key fields are set to NOTNULL, and optional fields are allowed NULL; 2. ISNULL or ISNOTNULL must be used with = or !=; 3. IFNULL or COALESCE functions can be used to replace the display default values; 4. Be cautious when using NULL values ??directly when inserting or updating, and pay attention to the data source and ORM framework processing methods. NULL represents an unknown value and does not equal any value, including itself. Therefore, be careful when querying, counting, and connecting tables to avoid missing data or logical errors. Rational use of functions and constraints can effectively reduce interference caused by NULL.

To view the size of the MySQL database and table, you can query the information_schema directly or use the command line tool. 1. Check the entire database size: Execute the SQL statement SELECTtable_schemaAS'Database',SUM(data_length index_length)/1024/1024AS'Size(MB)'FROMinformation_schema.tablesGROUPBYtable_schema; you can get the total size of all databases, or add WHERE conditions to limit the specific database; 2. Check the single table size: use SELECTta

Character set and sorting rules issues are common when cross-platform migration or multi-person development, resulting in garbled code or inconsistent query. There are three core solutions: First, check and unify the character set of database, table, and fields to utf8mb4, view through SHOWCREATEDATABASE/TABLE, and modify it with ALTER statement; second, specify the utf8mb4 character set when the client connects, and set it in connection parameters or execute SETNAMES; third, select the sorting rules reasonably, and recommend using utf8mb4_unicode_ci to ensure the accuracy of comparison and sorting, and specify or modify it through ALTER when building the library and table.

GROUPBY is used to group data by field and perform aggregation operations, and HAVING is used to filter the results after grouping. For example, using GROUPBYcustomer_id can calculate the total consumption amount of each customer; using HAVING can filter out customers with a total consumption of more than 1,000. The non-aggregated fields after SELECT must appear in GROUPBY, and HAVING can be conditionally filtered using an alias or original expressions. Common techniques include counting the number of each group, grouping multiple fields, and filtering with multiple conditions.

MySQL supports transaction processing, and uses the InnoDB storage engine to ensure data consistency and integrity. 1. Transactions are a set of SQL operations, either all succeed or all fail to roll back; 2. ACID attributes include atomicity, consistency, isolation and persistence; 3. The statements that manually control transactions are STARTTRANSACTION, COMMIT and ROLLBACK; 4. The four isolation levels include read not committed, read submitted, repeatable read and serialization; 5. Use transactions correctly to avoid long-term operation, turn off automatic commits, and reasonably handle locks and exceptions. Through these mechanisms, MySQL can achieve high reliability and concurrent control.
