web-前程无忧(51job招聘)-账户、简历-数据库设计
use _51job -- ylb:1,个人服务--个人信息 -- (ResumeID (( 20 ), -- 姓名 Gender YearOfBirthday char ( 4 ), -- 出生日期-年 MonthOfBirthday char ( 2 ), -- 出生日期-月 -- 6, DayOfBirthday char ( 2 ), -- 出生日期-日 WorkYear int , -- 工作年限 Card
use _51job -- ylb:1,个人服务-->个人信息 -- ( ResumeID ((20), --姓名 Gender YearOfBirthday char(4), --出生日期-年 MonthOfBirthday char(2),--出生日期-月 --6, DayOfBirthday char(2), --出生日期-日 WorkYear int, --工作年限 CardType int, --证件类型 IDNumber varchar(25), --证件号 Location varchar(150), --居住地【Type】 --11, Email varchar(80), --Email Salary int, --目前年薪 CurrType Current_Situation int, --求职状态 --16, Mobile varchar(20), --手机号码 FPNation char(5), --公司电话 FPCity char(5), --公司电话-区号 FPNumber char(20), --公司电话-总机号码 FPExtension char(10), --公司电话-分机 --21, HPNation char(5), --家庭电话 HpCity char(5), --家庭电话-区号 HPNumber char(20), --家庭电话-电话号码 HuKou varchar(150), --户口【Type】 ResumeKey char(12), --关键字 --26, ---查看更多个人信息 Nationality varchar(150),--国家或地区 Stature int, --身高 Marrige int, --婚姻状况:0:未婚;1:已婚;2:保密 QQID varchar(20), --QQ号 ZipCode char(6), --邮编 --31, AliTalk varchar(100), --旺旺ID HomePage (150), --地址 StudentGroup int, --工作经验:0:有;1:无 UserID (UserID) --个人服务(FK) ) -- ylb:2,个人服务-->教育经历 -- Edu ( EduID (1,1), --编号 FromYear char(4), --时间-从年 FromMonth char(2), --时间-从月 ToYear char(4), --时间-到年 ToMonth char(2), --时间-到月 --6, SchoolName varchar(100),--学校【Type】 SubMajor varchar(100), --专业 MoreMajor varchar(100), --更多专业 Degree int, --学历 EduDetail ntext, --专业描述 --11, IsOverSeas UserID (UserID) --个人服务(FK) ) -- ylb:3,个人服务-->工作经验 -- ( --WorkID,FromYear, FromMonth, ToYear, ToMonth WorkID (1,1),--编号 FromYear char(4), --时间-从年 FromMonth char(2), --时间-从月 ToYear char(4), --时间-到年 -当前年份 ToMonth char(2), --时间-到月 -当前月份 --6, Company varchar(100), --公司名称 Industry varchar(150), --行业 CompanySize int, --公司规模 CompanyType int, --公司性质 Division varchar(50), --部门 --11, SubFunction varchar(50),--职位 Position varchar(50), --其他职位 Responsiblity ReportLine varchar(50), --汇报对象 Subordinate char(5), --下属人数 --16, Reference varchar(50), --证明人 LeaveReson varchar(200),--离职原因 Achievement varchar(500),--主要业绩 IsOverSeas UserID (UserID) --个人服务(FK) ) -- ylb:4,个人服务-->求职意向 -- OtherSelf ( JobTerm int, --工作类型 0:全职;1:兼职;2:实习;3:全/兼职 JobArea varchar(50), --工作地点 IndustryType varchar(50), --行业 FunType varchar(50), --职能 Salary int, --期望薪水 --6, EntryTime int, --到岗时间 Introduction varchar(500), --自我评价 UserID (UserID) --个人服务(FK) ) -- ylb:5,个人服务-->语言能力_1 -- Lan ( LanID (1,1), --编号 Language1 int, --语言类别 Master int, --掌握程度 RWAbility int, --读写能力 LSAbility int, --听说能力 --6, UserID (UserID) --个人服务(FK) ) -- ylb:6,个人服务-->语言能力 -- ( EnLevel int, --英语等级 Toefl char(3), --TOEFL gre char(3), --GRE jpLevel int, --日语等级 Gmat char(3), --GMAT --6, Ielts char(4), --IELTS UserID (UserID) --个人服务(FK) )
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Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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