Complete syntax of SQL CASE expression
SQL CASE expressions are designed to handle complex queries, allowing you to evaluate multiple conditions and return specific values based on which conditions are met. Its syntax varies among different database engines.
SQL Server
The general syntax of SQL Server’s CASE expression is as follows:
CASE case-expression WHEN when-expression-1 THEN value-1 [ WHEN when-expression-n THEN value-n ... ] [ ELSE else-value ] END
Oracle
Oracle's CASE expression syntax takes a slightly different approach:
CASE WHEN boolean-when-expression-1 THEN value-1 [ WHEN boolean-when-expression-n THEN value-n ... ] [ ELSE else-value ] END
Components of CASE expression
- case-expression: The value to evaluate against when-expressions.
- when-expression: An expression to compare with case-expression.
- value: The result of a CASE statement if the corresponding when-expression matches the case-expression.
- boolean-when-expression: A Boolean expression that determines whether to return the corresponding value.
- else-value: The value returned if no when-expression matches case-expression.
Execution semantics
CASE expression evaluates each when-expression sequentially. When a match is found, the corresponding value is returned. If no match is found, returns the else-value if there is one. Note that the order of when-expressions is important because the first matching expression takes precedence.
Example
Consider the following query:
SELECT CASE student_age WHEN 18 THEN 'Teenager' WHEN 21 THEN 'Adult' ELSE 'Minor' END AS age_category FROM students;
This query assigns an age category to the student based on their age, "Teenager" if they are 18, "Adult" if they are 21, or "Minor" if they are under 18 or no match is found.
The above is the detailed content of How Does the SQL CASE Expression Work Across Different Database Systems?. For more information, please follow other related articles on the PHP Chinese website!

MySQLstringtypesimpactstorageandperformanceasfollows:1)CHARisfixed-length,alwaysusingthesamestoragespace,whichcanbefasterbutlessspace-efficient.2)VARCHARisvariable-length,morespace-efficientbutpotentiallyslower.3)TEXTisforlargetext,storedoutsiderows,

MySQLstringtypesincludeVARCHAR,TEXT,CHAR,ENUM,andSET.1)VARCHARisversatileforvariable-lengthstringsuptoaspecifiedlimit.2)TEXTisidealforlargetextstoragewithoutadefinedlength.3)CHARisfixed-length,suitableforconsistentdatalikecodes.4)ENUMenforcesdatainte

MySQLoffersvariousstringdatatypes:1)CHARforfixed-lengthstrings,2)VARCHARforvariable-lengthtext,3)BINARYandVARBINARYforbinarydata,4)BLOBandTEXTforlargedata,and5)ENUMandSETforcontrolledinput.Eachtypehasspecificusesandperformancecharacteristics,sochoose

TograntpermissionstonewMySQLusers,followthesesteps:1)AccessMySQLasauserwithsufficientprivileges,2)CreateanewuserwiththeCREATEUSERcommand,3)UsetheGRANTcommandtospecifypermissionslikeSELECT,INSERT,UPDATE,orALLPRIVILEGESonspecificdatabasesortables,and4)

ToaddusersinMySQLeffectivelyandsecurely,followthesesteps:1)UsetheCREATEUSERstatementtoaddanewuser,specifyingthehostandastrongpassword.2)GrantnecessaryprivilegesusingtheGRANTstatement,adheringtotheprincipleofleastprivilege.3)Implementsecuritymeasuresl

ToaddanewuserwithcomplexpermissionsinMySQL,followthesesteps:1)CreatetheuserwithCREATEUSER'newuser'@'localhost'IDENTIFIEDBY'password';.2)Grantreadaccesstoalltablesin'mydatabase'withGRANTSELECTONmydatabase.TO'newuser'@'localhost';.3)Grantwriteaccessto'

The string data types in MySQL include CHAR, VARCHAR, BINARY, VARBINARY, BLOB, and TEXT. The collations determine the comparison and sorting of strings. 1.CHAR is suitable for fixed-length strings, VARCHAR is suitable for variable-length strings. 2.BINARY and VARBINARY are used for binary data, and BLOB and TEXT are used for large object data. 3. Sorting rules such as utf8mb4_unicode_ci ignores upper and lower case and is suitable for user names; utf8mb4_bin is case sensitive and is suitable for fields that require precise comparison.

The best MySQLVARCHAR column length selection should be based on data analysis, consider future growth, evaluate performance impacts, and character set requirements. 1) Analyze the data to determine typical lengths; 2) Reserve future expansion space; 3) Pay attention to the impact of large lengths on performance; 4) Consider the impact of character sets on storage. Through these steps, the efficiency and scalability of the database can be optimized.


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

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

WebStorm Mac version
Useful JavaScript development tools
