How to deal with MySQL connection error 1046?

Why do I need SSL/TLS encryption MySQL connection? Because unencrypted connections may cause sensitive data to be intercepted, enabling SSL/TLS can prevent man-in-the-middle attacks and meet compliance requirements; 2. How to configure SSL/TLS for MySQL? You need to generate a certificate and a private key, modify the configuration file to specify the ssl-ca, ssl-cert and ssl-key paths and restart the service; 3. How to force SSL when the client connects? Implemented by specifying REQUIRESSL or REQUIREX509 when creating a user; 4. Details that are easily overlooked in SSL configuration include certificate path permissions, certificate expiration issues, and client configuration requirements.

To achieve MySQL deployment automation, the key is to use Terraform to define resources, Ansible management configuration, Git for version control, and strengthen security and permission management. 1. Use Terraform to define MySQL instances, such as the version, type, access control and other resource attributes of AWSRDS; 2. Use AnsiblePlaybook to realize detailed configurations such as database user creation, permission settings, etc.; 3. All configuration files are included in Git management, support change tracking and collaborative development; 4. Avoid hard-coded sensitive information, use Vault or AnsibleVault to manage passwords, and set access control and minimum permission principles.

Methods that implement Excel pivot table functions similar to MySQL mainly include using CASE or IF statements to combine aggregate functions for row conversion. 1. Use CASEWHEN to realize static row-to-column conversion, which is suitable for situations where column values are known to be converted. New columns are generated for different values and data are summarized through SUM (CASEWHEN...). 2. Generate columns dynamically, suitable for situations where specific values are uncertain. You need to obtain a unique value before constructing a CASE expression. Usually, it is combined with stored procedures or application layer logic to splice and execute SQL strings; 3. Use IF functions to simplify syntax to achieve the same effect as CASE but the writing method is more compact. In actual applications, if the dimension is fixed, the column can be hard-coded directly. If the dimension changes frequently, it is recommended to use scripts or store them.

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

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 viewing the SHOWSLAVESTATUS output and analyze the root cause of log location.

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-timefrauddetection,configuresmartindexing,chooseInnoDBasthestorageengine,andtunesystemsettingsforhighthroughput.1)Usecompositeandcoveringindexestospeedupfrequentquerieswithoutover-indexing.2)SelectInnoDBforrow-levellocking,ACID

The key to MySQL crash recovery is to understand the logging mechanism and take precautions. 1. After the crash, first check errorlog and InnoDBredolog to determine the cause; 2. In most cases, MySQL will automatically restore data consistency through the redo and undo stages after restarting; 3. If there is log corruption, insufficient space or configuration errors, you need to manually intervene. Innodb_force_recovery can be used to force startup and export data; 4. You should regularly backup, monitor resource usage, avoid large transactions, and deploy high-availability architectures to reduce the difficulty of recovery.