Open source address:
- github: https://github.com/sagframe/sagacity-sqltoy
- gitee: https://gitee.com/sagacity/sagacity-sqltoy
- idea plugin (can be retrieved and installed directly in idea): https://github.com/threefish/sqltoy-idea-plugins
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- 1. Support multiple fields in, for example: (id,type) in ((:ids,:types)) or (id,type) in (:ids,:types)
List<StaffInfoVO> staffs = sqlToyLazyDao.findEntity(StaffInfoVO.class, EntityQuery.create().values(new StaffInfoVO())); String sql = "select * from sqltoy_staff_info where (staff_id,STAFF_CODE) " + "in ((:staffIdVOs.staffId,:staffIdVOs.staffCode))"; List<StaffInfoVO> staffVOs = sqlToyLazyDao.findBySql(sql, MapKit.keys("staffIdVOs").values(staffs), StaffInfoVO.class);
Key advantages of sqltoy:
//------------------了解 sqltoy的关键优势: -------------------------------------------------------------------------------------------*/
//1、最简最直观的sql编写方式(不仅仅是查询语句),采用条件参数前置处理规整法,让sql语句部分跟客户端保持高度一致
//2、sql中支持注释(规避了对hint特性的影响,知道hint吗?搜oracle hint),和动态更新加载,便于开发和后期维护整个过程的管理
//3、支持缓存翻译和反向缓存条件检索(通过缓存将名称匹配成精确的key),实现sql简化和性能大幅提升
//4、支持快速分页和分页优化功能,实现分页最高级别的优化,同时还考虑到了cte多个with as情况下的优化支持
//5、支持并行查询
//6、根本杜绝sql注入问题
//7、支持行列转换、分组汇总求平均、同比环比计算,在于用算法解决复杂sql,同时也解决了sql跨数据库问题
//8、支持保留字自动适配
//9、支持跨数据库函数自适配,从而非常有利于一套代码适应多种数据库便于产品化,比如oracle的nvl,当sql在mysql环境执行时自动替换为ifnull
//10、支持分库分表
//11、提供了取top、取random记录、树形表结构构造和递归查询支持、updateFetch单次交互完成修改和查询等实用的功能
//12、sqltoy的update、save、saveAll、load 等crud操作规避了jpa的缺陷,参见update(entity,String...forceUpdateProps)和updateFetch
//13、提供了极为人性化的条件处理:排它性条件、日期条件加减和提取月末月初处理等
//14、提供了查询结果日期、数字格式化、安全脱敏处理,让复杂的事情变得简单,大幅简化sql或结果的二次处理工作
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sqltoy features introduction:
- The core construction idea of sqltoy
- The core points of sqltoy comparison mybatis (plus): query statement writing, readability, maintainability
- Object crud is the foundation, but sqltoy has targeted improvements: update, updateSaveFetch, updateFetch, etc.
- sqltoy's cache translation greatly reduces table associations and simplifies sql, making your query performance geometrically improved
- The ultimate paging also helps you achieve a significant increase in query performance
- Fast paging: @fast () realizes first fetching a single page of data and then correlates the query, which greatly improves the speed
- Paging optimizer: page-optimize makes paging query from two times to 1.3~1.5 times (the total number of records that use the cache to achieve the same query condition does not need to repeat the query within a certain period
- The process of sqltoy's paging and fetching total records is not a simple select count (1) from (original sql); it is an intelligent judgment whether it becomes: select count (1) from 'from after statement', and automatically removes the outermost order by
- sqltoy supports parallel query: parallel="true", query the total number of records and single page data at the same time, greatly improving performance
- Convenient Cross-Database Statistical Calculations: Data Rotation
- Convenient cross-database statistical calculation: infinite grouping statistics (including summary averaging)
- Convenient cross-database statistical calculation: year-on-year