high performance lightweight solution for efcore sharding table and sharding database support read-write-separation .一款ef-core下高性能、轻量级针对分表分库读写分离的解决方案，具有零依赖、零学习成本、零业务代码入侵
Home Page: https://xuejmnet.github.io/sharding-core-doc/
License: Apache License 2.0
实现iresetstateservice支持dbcontextpool
需要过多的代码和精力去维护efcore2为了让代码更加健壮并且efcore2和efcore3都支持standard2所以将移除efcore2的支持
如何针对分表下的智能分表,提高分表性能，提高跳到最后一页或者跳过很多页的情况下出现过多的全表扫描
比如本次查询设计24张表,可以限制比如单次查询12个线程剩下的必须等待之前的,用于非enumerator查询
比如目前有3个地方要配置一个是shardingdbcontext一个是shardingquery一个是shardingtransaction减少到两个
用的AbstractSimpleShardingWeekKeyLongVirtualTableRoute路由：
也自动创建了表：
写入数据，保存时出现异常：
我这个实体与其他表实体不存在数据关系引用
请教一下是我哪弄的不正确吗？
去掉事务的配置,直接同datasourcename使用相同的dbcontextoptions来创建dbcontext
我看示例中也没有postgresql的示例,希望补充一下, 最好完整的示例
另外使用方面, 照着官方文档处理, 有几处错误, 是不是类库已经更新, 文档没有更新
support batch operator支持批量操作
支持efcore生态下的所有批量操作
你好！想请教个问题，
当前我有个表，数据过多。我希望有个冷热数据的策略。
通过我自定义的代码，判断表中一些数据访问比较少或者过期旧数据，当做旧表分出去；
经常访问和最新的数据保留在当前表中。
请问这个如何配置呢？
我看roadmap有计划支持其他orm的路线图，请问有计划支持其他orm，比如dapper，这个微型orm性能及扩展都很棒
通过提供自定义排序来实现
而不是通过ishardingdbcontext
support read write configuration支持读写分离配置
比如路由里面可以配置实体是否需要分表配置分表字段等
优化代码将不需要暴露的对象采用internal限制
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