![DTC](http://storage.360buyimg.com/bq-install/release/dtc_logo.png) # DTC - Distributed Table Cache [![ubuntu&gcc-4.9](https://github.com/DTC8/DTC/actions/workflows/ubuntu-20.04&gcc-4.9.yml/badge.svg)](https://github.com/DTC8/DTC/actions/workflows/ubuntu-20.04&gcc-4.9.yml) ## Overview DTC is a high performance Distributed Table Cache system designed by JD.com that offering hotspot data cache for databases in order to reduce pressure of database and improve QPS. ![](http://storage.360buyimg.com/bq-install/release/architecture.png) The DTC system consists of the following components: * **Agent** - Provides key consistent hash routing in order to reduce connections and improve performance. * **Dtcd** - Provides hot data caching service. * **Connector** - Provides connection and communication between cache and persistent storage database such as MYSQL. ## Feature * Database Protection - protection for null node, prevent cache breakdown. - provide long-term data caching, and prevent cache penetration. - data source thread available, protect the database with a limited number of connections. - Estimated timeout policy to reduce invalid database requests. * Data consistency - write-through policy, ensure cache and database data consistent. - barrier policy to prevent update requests lost while concurrcy. * Performance - integrated memroy allocation policy to avoid frequent system calls. - I/O multiplexing to handle concurrcy requests. - multiple data structure models to improve memory performance. * Scalability - cache node expands horizontally to enhance cache capacity. - cache node expands vertically, supports slave reading, and solve the bottleneck of hot keys. - provide sharding, supports for persistent storage scalable. ## Performance * DTC can process 90,000 QPS of query requests at single-core cpu & single dtc instance. * DTC can provide above 3,000,000 QPS query capability with above 99.9% hit rate and less than 200 μs response time in actual distributed scenarios. * Layered Storage is able to provide about 1,000 QPS write capability with above 99.9% per single instance. ## How to Build DTC provides docker images for quick start: * Start server docker:
```shell docker pull dtc8/server:latest docker run -i -t --name dtc-server -p 127.0.0.1:20015:20015 dtc8/server:latest ``` Depending on 3rd-party sql parsing engine [hsql](https://github.com/DTC8/sql-parser) . For more compile information, click [Building](docs/building.md).
Trying a demo, visit [QuickStart](docs/quickstart.md). ## License JD.com © Copyright 2022 [JD.com](https://ir.jd.com/), Inc.
[Apache 2.0](http://www.apache.org/licenses/LICENSE-2.0). Visit [LICENSE](./LICENSE) for more details.