Found 10 packages
TPL Dataflow promotes actor/agent-oriented designs through primitives for in-process message passing, dataflow, and pipelining. TDF builds upon the APIs and scheduling infrastructure provided by the Task Parallel Library (TPL), and integrates with the language support for asynchrony provided by C#, Visual Basic, and F#. Supported Platforms: - .NET Framework 4.5 - Windows 8 - Windows Phone 8.1 - Windows Phone Silverlight 8 - Portable Class Libraries
TPL Dataflow promotes actor/agent-oriented designs through primitives for in-process message passing, dataflow, and pipelining. TDF builds upon the APIs and scheduling infrastructure provided by the Task Parallel Library (TPL), and integrates with the language support for asynchrony provided by C#, Visual Basic, and F#. Commonly Used Types: System.Threading.Tasks.Dataflow.ActionBlock<TInput> System.Threading.Tasks.Dataflow.BatchBlock<T> System.Threading.Tasks.Dataflow.BatchedJoinBlock<T1, T2> System.Threading.Tasks.Dataflow.BatchedJoinBlock<T1, T2, T3> System.Threading.Tasks.Dataflow.BroadcastBlock<T> System.Threading.Tasks.Dataflow.BufferBlock<T> System.Threading.Tasks.Dataflow.DataflowBlock System.Threading.Tasks.Dataflow.JoinBlock<T1, T2> System.Threading.Tasks.Dataflow.JoinBlock<T1, T2, T3> System.Threading.Tasks.Dataflow.TransformBlock<TInput, TOutput> System.Threading.Tasks.Dataflow.TransformManyBlock<TInput, TOutput> System.Threading.Tasks.Dataflow.WriteOnceBlock<T>
封装.NET数据缓存框架,System.Runtime.Caching、System.Web.Caching,System.Runtime.Caching,这是在.NET 4.0中新增的缓存框架,存在于程序集System.Runtime.Caching.dll。它是一个可扩展的数据缓存框架,内置提供了内存缓存的实现MemoryCache。
Tdf.Dapper是一个开源库,他在Dapper的基础上封装了基本的CRUD操作,分页查询,使得一些简单的数据库操作可以不用自己写sql语句。使用起来更方便。
Tdf.RedisCache,用到了PooledRedisClientManager连接池来获取RedisClient,同时用到了读写分离的概念,可以直接拿来使用。
C#图像处理类库
Tdf.RabbitMQ
基于MongoDB官方发布的C#驱动,封装对MongoDB数据库的增删改查访问方法;
基于Memcached.ClientLibrary封装使用Memchached信息,读取缓存存放在服务器
C# TDF API