Troubleshooting Common MySQL Replication Errors
MySQL master-slave replication problems are common in connection exceptions, data inconsistencies, GTID or binlog errors, and replication delays. 1. Check whether the master-slave connection is normal, ensure that the network connection, permission pairs, and account passwords are correct; 2. Troubleshoot replication failures caused by inconsistencies in data, check error logs, skip errors if necessary and use tools to verify consistency; 3. Handle GTID or binlog issues, ensure that the master library has not cleaned the required transaction logs, and correctly configure the GTID mode; 4. Optimize replication delay, improve slave library performance, enable parallel replication, and reduce slave library load. When encountering problems, you should prioritize the SHOW SLAVE STATUS output and analyze the root cause of log location.
MySQL master-slave replication problems are actually quite common. Sometimes the data is out of sync, the delay is high, or the error is directly reported and interrupted, which makes it a headache to troubleshoot. But in most cases, these problems have fixed routines to solve. As long as you master a few key points, many errors can be quickly located and fixed.

The following situations basically cover the most important places you should check when encountering a copy exception.
1. Check whether the connection between the master and slave server is normal
If the slave library cannot connect to the main library, copying will naturally not be possible. This type of problem usually manifests as Last_IO_Error
error message, such as:

- Can't connect to MySQL server on 'master_host'
- Access denied for user 'repl_user'@'slave_ip'
Handling suggestions:
- Make sure the master library allows slave library IP access (check firewall or security group settings)
- Confirm that the copy account permission is correct (at least REPLICATION SLAVE permission)
- Check whether the username, password, and port used from the library are configured correctly
- Try testing network connectivity with
telnet master_ip 3306
in the library
If you find that it is a permission issue, you can reauthorize and refresh on the main library:

GRANT REPLICATION SLAVE ON *.* TO 'repl_user'@'slave_ip' IDENTIFIED BY 'password'; FLUSH PRIVILEGES;
2. Data inconsistency leads to replication failure
This is a relatively hidden but common situation. For example, if you execute a delete statement in the main library, but the corresponding record does not exist in the slave library, it will cause a copy interruption and an error is reported similar:
Could not execute Delete_rows event on table...
Solution:
View
Last_SQL_Error
inSHOW SLAVE STATUS\G
If you confirm that it is a problem caused by a statement, you can skip this error:
SET GLOBAL SQL_SLAVE_SKIP_COUNTER = 1; START SLAVE;
A safer approach is to use tools to compare master-slave data consistency, such as pt-table-checksum and pt-table-sync
- You can try to do a full backup and restore from the library again
- If mysqldump is used, remember to add
--master-data=2 --single-transaction --dump-slave=1
parameter - Check the
expire_logs_days
settings of the main library to avoid binlog being cleaned too early - The main library has a lot of pressure to write, and the performance of the slave library cannot keep up
- There is a slow query in serial execution from the library
- Row-based copy was used, the update volume was too large
- Upgrade the library hardware configuration, especially IO performance
- Turn on parallel replication (multi-threaded replication), adjust
slave_parallel_workers
andslave_parallel_type
- For read and write separation scenarios, appropriately reduce the query pressure borne by the library
However, it should be noted that skipping errors is only a temporary solution. It is essential to figure out why data inconsistencies occur, such as whether there is manual write to the slave library, or whether the previous copy has been interrupted and not processed in time.
3. GTID or binlog related errors
In GTID mode, if the master library cannot find the transaction number requested by the slave library, the following error will appear:
The slave is connecting using CHANGE MASTER TO with a replication stream that is not present on the master...
This is usually because the GTID requested from the library has been cleaned up in the main library (binlog expires or is purged).
Solution:
In addition, it is also possible that you did not specify the GTID mode correctly when building the copy. At this time, you must confirm gtid_mode=ON
and enforce_gtid_consistency = ON
.
4. The replication delay is too high
Although it is not an error, if the replication delay is severe, it will affect the real-time data. It can be judged by Seconds_Behind_Master
in SHOW SLAVE STATUS\G
.
Possible reasons:
Optimization suggestions:
If some tables are particularly hot, you can also consider dividing the database and detaching the table or introducing a cache layer to alleviate it.
Basically that's it. MySQL replication problems are caused by connections, permissions, data inconsistencies, or configurations. When you encounter problems, first look at the output of SHOW SLAVE STATUS
, and then combine it with log analysis to find the direction.
The above is the detailed content of Troubleshooting Common MySQL Replication Errors. 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)

UseMySQLEnterpriseAuditPluginifonEnterpriseEditionbyenablingitinconfigurationwithserver-audit=FORCE_PLUS_PERMANENTandcustomizeeventsviaserver_audit_events;2.Forfreealternatives,usePerconaServerorMariaDBwiththeiropen-sourceauditpluginslikeaudit_log;3.

TosecureMySQLeffectively,useobject-levelprivilegestolimituseraccessbasedontheirspecificneeds.Beginbyunderstandingthatobject-levelprivilegesapplytodatabases,tables,orcolumns,offeringfinercontrolthanglobalprivileges.Next,applytheprincipleofleastprivile

MySQL needs to be optimized for financial systems: 1. Financial data must be used to ensure accuracy using DECIMAL type, and DATETIME is used in time fields to avoid time zone problems; 2. Index design should be reasonable, avoid frequent updates of fields to build indexes, combine indexes in query order and clean useless indexes regularly; 3. Use transactions to ensure consistency, control transaction granularity, avoid long transactions and non-core operations embedded in it, and select appropriate isolation levels based on business; 4. Partition historical data by time, archive cold data and use compressed tables to improve query efficiency and optimize storage.

TooptimizeMySQLforreal-timedatafeeds,firstchoosetheInnoDBstorageenginefortransactionsandrow-levellocking,useMEMORYorROCKSDBfortemporarydata,andpartitiontime-seriesdatabytime.Second,indexstrategicallybyonlyapplyingindexestoWHERE,JOIN,orORDERBYcolumns,

Whether MySQL is worth moving to the cloud depends on the specific usage scenario. If your business needs to be launched quickly, expand elastically and simplify operations and maintenance, and can accept a pay-as-you-go model, then moving to the cloud is worth it; but if your database is stable for a long time, latency sensitive or compliance restrictions, it may not be cost-effective. The keys to controlling costs include selecting the right vendor and package, configuring resources reasonably, utilizing reserved instances, managing backup logs and optimizing query performance.

MySQL supports CHECK constraints to force domain integrity, effective from version 8.0.16; 1. Add constraints when creating a table: Use CREATETABLE to define CHECK conditions, such as age ≥18, salary > 0, department limit values; 2. Modify the table to add constraints: Use ALTERTABLEADDCONSTRAINT to limit field values, such as name non-empty; 3. Use complex conditions: support multi-column logic and expressions, such as end date ≥start date and completion status must have an end date; 4. Delete constraints: use ALTERTABLEDROPCONSTRAINT to specify the name to delete; 5. Notes: MySQL8.0.16, InnoDB or MyISAM needs to be quoted

When dealing with large tables, MySQL performance and maintainability face challenges, and it is necessary to start from structural design, index optimization, table sub-table strategy, etc. 1. Reasonably design primary keys and indexes: It is recommended to use self-increment integers as primary keys to reduce page splits; use overlay indexes to improve query efficiency; regularly analyze slow query logs and delete invalid indexes. 2. Rational use of partition tables: partition according to time range and other strategies to improve query and maintenance efficiency, but attention should be paid to partitioning and cutting issues. 3. Consider reading and writing separation and library separation: Read and writing separation alleviates the pressure on the main library. The library separation and table separation are suitable for scenarios with a large amount of data. It is recommended to use middleware and evaluate transaction and cross-store query problems. Early planning and continuous optimization are the key.

Useamany-to-manyrelationshipwithajunctiontabletolinkitemsandtagsviathreetables:items,tags,anditem_tags.2.Whenaddingtags,checkforexistingtagsinthetagstable,insertifnecessary,thencreatemappingsinitem_tagsusingtransactionsforconsistency.3.Queryitemsbyta
