数据分批查询数据 前段时间由于线上项目的活动问题,发现向第三方系统请求数据的时候,请求的数据量竟然达到了3w多,请求的数据的方式采用Http请求的形式,事先没有想到会有这么多的数据量,所以只能分批去其他系统请求数据,每次请求200条,具体情况为:在
数据分批查询数据
前段时间由于线上项目的活动问题,发现向第三方系统请求数据的时候,请求的数据量竟然达到了3w多,请求的数据的方式采用Http请求的形式,事先没有想到会有这么多的数据量,所以只能分批去其他系统请求数据,每次请求200条,具体情况为: 在数据库中存在一张表,主要字段有user_id(用户名),count(物品数量),系统要求能够实时更行用户的物品数量,但是保存物品数量的接口不在自己的系统中,所以需要想起他的系统请求数据,主要是每次如何获得用户user_id,又不重复。主要学习的是用数据库Sql 语句的学习:select top 200 user_id from( SELECT (Row_number() OVER( ORDER BY user_id)) as ix, user_id FROM [xxx].[dbo].t_world_cup_exchange_user_flag_list GROUP BY user_id ) tt where tt.ix > #{index,jdbcType=VARCHAR}主要使用数据库函数,Row_number为返回的结果集生成特定的序列号,利用这个函数就能实现每次用200个不同的用户去请求数据,如从0~200,201~401,401~601... ...这样的序列开始选择自己需要的用户Id,当然在自己的程序需要保存这个index游标的值,并且保持能够循环。 --- --- 路漫漫其修远兮,吾将上下而求索

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.

MySQLBLOBshavelimits:TINYBLOB(255bytes),BLOB(65,535bytes),MEDIUMBLOB(16,777,215bytes),andLONGBLOB(4,294,967,295bytes).TouseBLOBseffectively:1)ConsiderperformanceimpactsandstorelargeBLOBsexternally;2)Managebackupsandreplicationcarefully;3)Usepathsinst

The best tools and technologies for automating the creation of users in MySQL include: 1. MySQLWorkbench, suitable for small to medium-sized environments, easy to use but high resource consumption; 2. Ansible, suitable for multi-server environments, simple but steep learning curve; 3. Custom Python scripts, flexible but need to ensure script security; 4. Puppet and Chef, suitable for large-scale environments, complex but scalable. Scale, learning curve and integration needs should be considered when choosing.

Yes,youcansearchinsideaBLOBinMySQLusingspecifictechniques.1)ConverttheBLOBtoaUTF-8stringwithCONVERTfunctionandsearchusingLIKE.2)ForcompressedBLOBs,useUNCOMPRESSbeforeconversion.3)Considerperformanceimpactsanddataencoding.4)Forcomplexdata,externalproc


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