一般获取执行计划有四种途径:1、执行explain plan,查询结果输出表。2、查询动态性能视图,它显示缓存在库缓存中的执行计划(有时查不出结果是因为执行计划已经不在库缓存中)。3、查询AWR或Statspack表。4、启动提供执行计划的跟踪功能(set autotrace tra
一般获取执行计划有四种途径:1、执行explain plan,查询结果输出表。2、查询动态性能视图,它显示缓存在库缓存中的执行计划(有时查不出结果是因为执行计划已经不在库缓存中)。3、查询AWR或Statspack表。4、启动提供执行计划的跟踪功能(set autotrace trace explain)。使用得比较多的是第四种,简单又好用~本篇讲第一种方法。
首先,explainplan原理就是把一条SQL语句分析一下,将该语句的执行计划和相关信息存储到计划表(plan table)中。可以查看一下联机文档关于explain plan的语法,
这里的string是用于区分计划表中多个执行计划的,into后面的table就是“计划表”。一般的使用方法是explain plan for “sql text”;之后select * fromtable(dbms_xplan.display);有时出现这种情况,explain plan for insert into test select * from test; 此时任何事务并无变化,因为explainplan是DML语句,不会对当前事务隐式提交,仅仅是插入几条记录到计划表。
我们会把执行计划与相关信息存入计划表,默认计划表是sys下的一张表,但有一个plan_table公共同义词,当你想使用一个私有的计划表时,可以运行utlxplan.sql脚本。
当分析的sql语句有绑定变量时,一般使用绑定变量进行explain for,而不是使用几个常量代入绑定变量进行分析。在explain for使用绑定变量也有两个问题。第一,默认情况下绑定变量是varchar2类型,所以在执行计划access中会有一个显式类型转换;第二,不能使用bind peeking。

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.


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