MySQL's CAST() and CONVERT() functions can be used to obtain a value of one type and produce a value of another type. The specific syntax of the two is as follows:
CAST(value as type); CONVERT(value, type);
is CAST (xxx AS type), CONVERT (xxx, type).
The types that can be converted are limited. This type can be one of the following values:
Binary, with the effect of binary prefix: BINARY
Character type, can take parameters: CHAR()
Date: DATE
Time: TIME
Date time type: DATETIME
Floating point: DECIMAL
Integer: SIGNED
Unsigned integer: UNSIGNED Here are a few examples:
Example 1
mysql> SELECT CONVERT('23',SIGNED); +----------------------+ | CONVERT('23',SIGNED) | +----------------------+ | 23 | +----------------------+ 1 row in set
Example 2
mysql> SELECT CAST('125e342.83' AS signed); +------------------------------+ | CAST('125e342.83' AS signed) | +------------------------------+ | 125 | +------------------------------+ 1 row in set
Example 3
mysql> SELECT CAST('3.35' AS signed); +------------------------+ | CAST('3.35' AS signed) | +------------------------+ | 3 | +------------------------+ 1 row in set
Like the above example, change To convert varchar to int, use cast(a as signed), where a is a string of type varchar.
Example 4
In SQL Server, the following code demonstrates the hexadecimal storage result of date storage when the datetime variable contains only a simple date and a simple time.
DECLARE @dt datetime --单纯的日期 SET @dt='1900-1-2' SELECT CAST(@dt as binary(8)) --结果: 0x0000000100000000 --单纯的时间 SET @dt='00:00:01' SELECT CAST(@dt as binary(8)) --结果: 0x000000000000012C
MySQL's type conversion is the same as that of SQL Server, but the type parameters are a little different: CAST(xxx AS type), CONVERT(xxx, type).

MySQLdiffersfromotherSQLdialectsinsyntaxforLIMIT,auto-increment,stringcomparison,subqueries,andperformanceanalysis.1)MySQLusesLIMIT,whileSQLServerusesTOPandOracleusesROWNUM.2)MySQL'sAUTO_INCREMENTcontrastswithPostgreSQL'sSERIALandOracle'ssequenceandt

MySQL partitioning improves performance and simplifies maintenance. 1) Divide large tables into small pieces by specific criteria (such as date ranges), 2) physically divide data into independent files, 3) MySQL can focus on related partitions when querying, 4) Query optimizer can skip unrelated partitions, 5) Choosing the right partition strategy and maintaining it regularly is key.

How to grant and revoke permissions in MySQL? 1. Use the GRANT statement to grant permissions, such as GRANTALLPRIVILEGESONdatabase_name.TO'username'@'host'; 2. Use the REVOKE statement to revoke permissions, such as REVOKEALLPRIVILEGESONdatabase_name.FROM'username'@'host' to ensure timely communication of permission changes.

InnoDB is suitable for applications that require transaction support and high concurrency, while MyISAM is suitable for applications that require more reads and less writes. 1.InnoDB supports transaction and bank-level locks, suitable for e-commerce and banking systems. 2.MyISAM provides fast read and indexing, suitable for blogging and content management systems.

There are four main JOIN types in MySQL: INNERJOIN, LEFTJOIN, RIGHTJOIN and FULLOUTERJOIN. 1.INNERJOIN returns all rows in the two tables that meet the JOIN conditions. 2.LEFTJOIN returns all rows in the left table, even if there are no matching rows in the right table. 3. RIGHTJOIN is contrary to LEFTJOIN and returns all rows in the right table. 4.FULLOUTERJOIN returns all rows in the two tables that meet or do not meet JOIN conditions.

MySQLoffersvariousstorageengines,eachsuitedfordifferentusecases:1)InnoDBisidealforapplicationsneedingACIDcomplianceandhighconcurrency,supportingtransactionsandforeignkeys.2)MyISAMisbestforread-heavyworkloads,lackingtransactionsupport.3)Memoryengineis

Common security vulnerabilities in MySQL include SQL injection, weak passwords, improper permission configuration, and unupdated software. 1. SQL injection can be prevented by using preprocessing statements. 2. Weak passwords can be avoided by forcibly using strong password strategies. 3. Improper permission configuration can be resolved through regular review and adjustment of user permissions. 4. Unupdated software can be patched by regularly checking and updating the MySQL version.

Identifying slow queries in MySQL can be achieved by enabling slow query logs and setting thresholds. 1. Enable slow query logs and set thresholds. 2. View and analyze slow query log files, and use tools such as mysqldumpslow or pt-query-digest for in-depth analysis. 3. Optimizing slow queries can be achieved through index optimization, query rewriting and avoiding the use of SELECT*.


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