多个like查询会出现大量重复数据 无 ===============================问题描述===================================两个表表usersid username1 andy2 jack3 leo4 kimi表carid title userid chnname1 bmw750 1 宝马2 bmw530 1 宝马3 bmw 2 宝马4 benzc2 1 奔驰
多个like查询会出现大量重复数据===============================问题描述=================================== 两个表 表users id username 1 andy 2 jack 3 leo 4 kimi 表car id title userid chnname 1 bmw750 1 宝马 2 bmw530 1 宝马 3 bmw 2 宝马 4 benzc2 1 奔驰 5 benzE3 2 奔驰 SQL:select * from a.*,b.* from car a inner join username b on a.userid = b.id 现在需要增加like查询条件 查询title类似于bmw的 select * from a.*,b.* from car a inner join username b on a.userid = b.id and a.title like '%bmw%' 这个语句会得到三条结果。正确的。但如果我再加上一个like条件就不行 查询title类似于bmw chnname类似于宝马 select * from a.*,b.* from car a inner join username b on a.userid = b.id and a.title like '%bmw%' or a.chnname like '%宝马%' 这样的话会得到一大堆的重复数据 ==============================分析================================= 之所以会得到那么多重复数据是因为上面的SQL相当于 select a.*,b.* from car a inner join username b on a.userid = b.id AND a.title like '%bmw%' UNION ALL select a.*,b.* from car a inner join username b on a.chnname like '%宝马%' ===============================解决================================= 在like条件中加()或者使用where 1.select * from a.*,b.* from car a inner join username b on a.userid = b.id and (a.title like '%bmw%' or a.chnname like '%宝马%') 2.select a.*,b.* from car a inner join username b on a.userid = b.id where a.title like '%bmw%' or a.chnname like '%宝马%'

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.

ToaddauserremotelytoMySQL,followthesesteps:1)ConnecttoMySQLasroot,2)Createanewuserwithremoteaccess,3)Grantnecessaryprivileges,and4)Flushprivileges.BecautiousofsecurityrisksbylimitingprivilegesandaccesstospecificIPs,ensuringstrongpasswords,andmonitori

TostorestringsefficientlyinMySQL,choosetherightdatatypebasedonyourneeds:1)UseCHARforfixed-lengthstringslikecountrycodes.2)UseVARCHARforvariable-lengthstringslikenames.3)UseTEXTforlong-formtextcontent.4)UseBLOBforbinarydatalikeimages.Considerstorageov

When selecting MySQL's BLOB and TEXT data types, BLOB is suitable for storing binary data, and TEXT is suitable for storing text data. 1) BLOB is suitable for binary data such as pictures and audio, 2) TEXT is suitable for text data such as articles and comments. When choosing, data properties and performance optimization must be considered.

No,youshouldnotusetherootuserinMySQLforyourproduct.Instead,createspecificuserswithlimitedprivilegestoenhancesecurityandperformance:1)Createanewuserwithastrongpassword,2)Grantonlynecessarypermissionstothisuser,3)Regularlyreviewandupdateuserpermissions

MySQLstringdatatypesshouldbechosenbasedondatacharacteristicsandusecases:1)UseCHARforfixed-lengthstringslikecountrycodes.2)UseVARCHARforvariable-lengthstringslikenames.3)UseBINARYorVARBINARYforbinarydatalikecryptographickeys.4)UseBLOBorTEXTforlargeuns


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