CnosDB

An Open Source Distributed Time Series Database with high performance, high compression ratio and high usability.

Click to view roadmap

Features

Ultra-large data size
- Distributed support for more than 1 billion time series
- Support more than 100 billion data points storage
- Support distributed aggregation query under massive time series
Fast batch writing
- Define new memory and disk data structure
- Hardware resource abstraction and write optimization
- Dynamic adjustment of node load to optimize performance under data skew
- Multi-level storage strategy to optimize back-end IO
Ultra-high data compression ratio
- Column based storage
- Multi-level compression
- Type and distribution adaptive compression algorithms
- Comprehensive compression ratio over 60 times -Rich calculation functions
- More than 50 calculation functions
- Interface modular design
Excellent ecosystem
- Native support for k8s and docker
- Support for Java, Go, C/C++, Python development interfaces
- Support for third-party tools such as Telegraf, Grafana, Prometheus, etc.

Join the community

All developers/users who love time series databases are welcome to participate in the CnosDB User Group. Scan the QR code below and add CC to join the group.

Please check Instructions for joining the group beforehand.

Quick start

If you need a complete getting started guide, please check the Quickstart Guide

Construct

Clone

git clone https://github.com/cnosdb/cnosdb.git

Compile
```
go install ./...
```

Operation

Start
```
$GOPATH/bin/cnosdb
```
Use
```
$GOPATH/bin/cnosdb-cli
```

User's Guide

Create database

curl -i -XPOST http://localhost:8086/query --data-urlencode "q=CREATE DATABASE mydb"

Insert data

curl -i -XPOST 'http://localhost:8086/write?db=db' --data-binary 'cpu,host=server01,region=Beijing idle=0.72 1434055562000000000'

Query

curl -G 'http://localhost:8086/query?pretty=true' --data-urlencode "db=db" --data-urlencode "q=SELECT \"idle\" FROM \"cpu\" WHERE \"region\"='Beijing'"

pppy2012/cnosdb