前言: 之前碰到了一个界面上分页失效的问题,并为之困扰了数日,后台定位为排序失效的问题,问题就迎刃而解了... 问题描述: 在界面上的某个分页功能存在失效的问题,第一页、第二页和最后一页的分页效果正常,但是中间的分页数据不变。 QA提了一个关于此的
前言: 之前碰到了一个界面上分页失效的问题,并为之困扰了数日,后台定位为排序失效的问题,问题就迎刃而解了...
问题描述:
在界面上的某个分页功能存在失效的问题,第一页、第二页和最后一页的分页效果正常,但是中间的分页数据不变。 QA提了一个关于此的Bug.
问题分析:
1. 分析界面分页代码
界面分页的代码属于在项目使用较多的组件,关于失效分页部分的代码无特殊的定制和使用。
2. 前端和后台端交互的分析
基于HTTP的监控工具,发现分页请求的请求数据一切正常,分页的start/limit数据正确,过滤条件是正确的,排除前端问题。
3. 后台的代码分析
后台的代码是基于Hibernate实现的DAO查询分析,代码基于基类的常规查询,无特殊代码存在。而且这些基类的常规查询被项目中不同的模块所使用,其他模块功能正常。
故对这些查询的代码是否存在问题,持怀疑态度。
4. 怀疑生成的SQL是否存在问题
打印出在查询中使用的SQL语句,经过分析,SQL也不存在问题。其中使用了log4jdbc来监控sql执行。
5. 基于查询中使用的SQL在Oracle的plsql中直接运行SQL
结果发现,在50~75, 75-~100等区间,的确查询数据不变。 SQL语句:
select * from (select row_.*, rownum rownum_ from (select this_.id as id25_0_, this_.create_time as create2_25_0_, this_.creator as creator25_0_, this_.modify_time as modify4_25_0_, this_.updater as updater25_0_, this_.version as version25_0_, this_.bank_id as bank7_25_0_, this_.bank_name as bank8_25_0_, this_.chk_comment as chk9_25_0_, this_.chk_status as chk10_25_0_, this_.cup_bank_id as cup11_25_0_, this_.del_status as del12_25_0_, this_.smp_name as smp13_25_0_, this_.status as status25_0_ from ns_para_bank this_ where this_.chk_status = '02' and this_.chk_status = '02' and this_.del_status = '01' order by this_.modify_time desc ) row_ where rownum <= 100) where rownum_ > 756. 后怀疑是排序字段modifyTime问题
经过排查,发现大部分的modifiedTime字段的数据为空,故导致了排序失效;由于排序失效,引发了分页数据不变的问题
问题的解决
为排序条件新增了一个排序字段, 在modified_time失效的情况下,保证整体排序的有效性,即可解决分页失效问题。

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MySQL is not a programming language, but its query language SQL has the characteristics of a programming language: 1. SQL supports conditional judgment, loops and variable operations; 2. Through stored procedures, triggers and functions, users can perform complex logical operations in the database.

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MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.


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