


In MySQL, how to remove a specific prefix from an entire column's values and update them?
This can be accomplished by applying the TRIM() function on the column along with the MySQL UPDATE statement. The following example will illustrate this point more clearly.
Example
Suppose we have a table "Employee" with prefix "Dept." which contains all the values of column "Department" as follows -
mysql> Select * from Employee; +------+----------------+------------+----------------------+ | Id | Name | Address | Department | +------+----------------+------------+----------------------+ | 100 | Raman | Delhi | IT Dept. | | 101 | Mohan | Haryana | History Dept. | | 102 | Shyam | Chandigarh | ENGLISH Dept. | | 103 | Sukhjeet Singh | Patiala | Computer Engg. Dept. | | 104 | Bimal Roy | Calcutta | Computer Engg. Dept. | +------+----------------+------------+----------------------+ 5 rows in set (0.01 sec)
Now, The following query will remove the prefix "Dept." from the "Department" column and update the table.
mysql> Update Employee set Department = TRIM(Trailing 'Dept.' FROM Department); Query OK, 5 rows affected (0.10 sec) Rows matched: 5 Changed: 5 Warnings: 0 mysql> Select * from Employee; +------+----------------+------------+-----------------+ | Id | Name | Address | Department | +------+----------------+------------+-----------------+ | 100 | Raman | Delhi | IT | | 101 | Mohan | Haryana | History | | 102 | Shyam | Chandigarh | ENGLISH | | 103 | Sukhjeet Singh | Patiala | Computer Engg. | | 104 | Bimal Roy | Calcutta | Computer Engg. | +------+----------------+------------+-----------------+ 5 rows in set (0.00 sec)
The above result set shows that there is no prefix "Dept." in the column value.
The above is the detailed content of In MySQL, how to remove a specific prefix from an entire column's values and update them?. For more information, please follow other related articles on the PHP Chinese website!

MySQL'sBLOBissuitableforstoringbinarydatawithinarelationaldatabase,whileNoSQLoptionslikeMongoDB,Redis,andCassandraofferflexible,scalablesolutionsforunstructureddata.BLOBissimplerbutcanslowdownperformancewithlargedata;NoSQLprovidesbetterscalabilityand

ToaddauserinMySQL,use:CREATEUSER'username'@'host'IDENTIFIEDBY'password';Here'showtodoitsecurely:1)Choosethehostcarefullytocontrolaccess.2)SetresourcelimitswithoptionslikeMAX_QUERIES_PER_HOUR.3)Usestrong,uniquepasswords.4)EnforceSSL/TLSconnectionswith

ToavoidcommonmistakeswithstringdatatypesinMySQL,understandstringtypenuances,choosetherighttype,andmanageencodingandcollationsettingseffectively.1)UseCHARforfixed-lengthstrings,VARCHARforvariable-length,andTEXT/BLOBforlargerdata.2)Setcorrectcharacters

MySQloffersechar, Varchar, text, Anddenumforstringdata.usecharforfixed-Lengthstrings, VarcharerForvariable-Length, text forlarger text, AndenumforenforcingdataAntegritywithaetofvalues.

Optimizing MySQLBLOB requests can be done through the following strategies: 1. Reduce the frequency of BLOB query, use independent requests or delay loading; 2. Select the appropriate BLOB type (such as TINYBLOB); 3. Separate the BLOB data into separate tables; 4. Compress the BLOB data at the application layer; 5. Index the BLOB metadata. These methods can effectively improve performance by combining monitoring, caching and data sharding in actual applications.

Mastering the method of adding MySQL users is crucial for database administrators and developers because it ensures the security and access control of the database. 1) Create a new user using the CREATEUSER command, 2) Assign permissions through the GRANT command, 3) Use FLUSHPRIVILEGES to ensure permissions take effect, 4) Regularly audit and clean user accounts to maintain performance and security.

ChooseCHARforfixed-lengthdata,VARCHARforvariable-lengthdata,andTEXTforlargetextfields.1)CHARisefficientforconsistent-lengthdatalikecodes.2)VARCHARsuitsvariable-lengthdatalikenames,balancingflexibilityandperformance.3)TEXTisidealforlargetextslikeartic

Best practices for handling string data types and indexes in MySQL include: 1) Selecting the appropriate string type, such as CHAR for fixed length, VARCHAR for variable length, and TEXT for large text; 2) Be cautious in indexing, avoid over-indexing, and create indexes for common queries; 3) Use prefix indexes and full-text indexes to optimize long string searches; 4) Regularly monitor and optimize indexes to keep indexes small and efficient. Through these methods, we can balance read and write performance and improve database efficiency.


Hot AI Tools

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

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

Undress AI Tool
Undress images for free

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

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

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

WebStorm Mac version
Useful JavaScript development tools

SublimeText3 Chinese version
Chinese version, very easy to use

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.
