/incubator-kvrocks

Kvrocks is a distributed key value NoSQL database that uses RocksDB as storage engine and is compatible with Redis protocol.

Primary LanguageC++Apache License 2.0Apache-2.0

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Apache Kvrocks(Incubating) is a distributed key value NoSQL database that uses RocksDB as storage engine and is compatible with Redis protocol. Kvrocks intends to decrease the cost of memory and increase the capacity while compared to Redis. The design of replication and storage was inspired by rocksplicator and blackwidow.

Kvrocks has the following key features:

  • Redis Compatible: Users can access Apache Kvrocks via any Redis client.
  • Namespace: Similar to Redis SELECT but equipped with token per namespace.
  • Replication: Async replication using binlog like MySQL.
  • High Available: Support Redis sentinel to failover when master or slave was failed.
  • Cluster: Centralized management but accessible via any Redis cluster client.

Thanks to designers Lingyu Tian and Shili Fan for contributing the logo of Kvrocks.

Who uses Kvrocks

You can find Kvrocks users at the Users page.

Users are encouraged to add themselves to the Users page. Either leave a comment on the "Who is using Kvrocks" issue, or directly send a pull request to add company or organization information and logo.

Build and run Kvrocks

Prerequisite

# CentOS / RedHat
sudo yum install -y epel-release
sudo yum install -y git gcc gcc-c++ make cmake autoconf automake libtool libstdc++-static python3 which openssl-devel

# Ubuntu / Debian
sudo apt update
sudo apt install -y git gcc g++ make cmake autoconf automake libtool python3 libssl-dev

# macOS
brew install autoconf automake libtool cmake openssl

# Please force linking the openssl if still can't find after installing openssl
brew link --force openssl

Build

It is as simple as:

$ git clone https://github.com/apache/incubator-kvrocks.git
$ cd incubator-kvrocks
$ ./x.py build # `./x.py build -h` to check more options;
               # especially, `./x.py build --ghproxy` will fetch dependencies via ghproxy.com.

To build with TLS support, you'll need OpenSSL development libraries (e.g. libssl-dev on Debian/Ubuntu) and run:

$ ./x.py build -DENABLE_OPENSSL=ON

To build with lua instead of luaJIT, run:

$ ./x.py build -DUSE_LUAJIT=OFF

Running Kvrocks

$ ./build/kvrocks -c kvrocks.conf

Running Kvrocks using Docker

$ docker run -it -p 6666:6666 apache/kvrocks
# or get the nightly image:
$ docker run -it -p 6666:6666 apache/kvrocks:nightly

Connect Kvrocks service

$ redis-cli -p 6666

127.0.0.1:6666> get a
(nil)

Running test cases

$ ./x.py build --unittest
$ ./x.py test cpp # run C++ unit tests
$ ./x.py test go # run Golang (unit and integration) test cases

Supported platforms

  • Linux
  • macOS

Namespace

Namespace is used to isolate data between users. Unlike all the Redis databases can be visited by requirepass, we use one token per namespace. requirepass is regraded as admin token, and only admin token allows to access the namespace command, as well as some commands like config, slaveof, bgsave, etc. See the Namespace page for more details.

# add token
127.0.0.1:6666> namespace add ns1 my_token
OK

# update token
127.0.0.1:6666> namespace set ns1 new_token
OK

# list namespace
127.0.0.1:6666> namespace get *
1) "ns1"
2) "new_token"
3) "__namespace"
4) "foobared"

# delete namespace
127.0.0.1:6666> namespace del ns1
OK

Cluster

Kvrocks implements a proxyless centralized cluster solution but its accessing method is completely compatible with the Redis cluster client. You can use Redis cluster SDKs to access the kvrocks cluster. More details, please see: Kvrocks Cluster Introduction

Documents

Documents are hosted at the official website.

Tools

  • Export the Kvrocks monitor metrics, please use kvrocks_exporter
  • Migrate from redis to kvrocks, use redis-migrate-tool which was developed by vipshop
  • Migrate from kvrocks to redis, use kvrocks2redis in the build directory

Contributing

Kvrocks community welcomes all forms of contribution and you can find out how to get involved on the Community and How to Contribute pages.

Performance

Hardware

  • CPU: 48 cores Intel(R) Xeon(R) CPU E5-2650 v4 @ 2.20GHz
  • Memory: 32 GiB
  • NET: Intel Corporation I350 Gigabit Network Connection
  • DISK: 2TB NVMe Intel SSD DC P4600

Benchmark Client: multi-thread redis-benchmark(unstable branch)

1. Commands QPS

kvrocks: workers = 16, benchmark: 8 threads/ 512 conns / 128 payload

latency: 99.9% < 10ms

image

2. QPS on different payloads

kvrocks: workers = 16, benchmark: 8 threads/ 512 conns

latency: 99.9% < 10ms

image

3. QPS on different workers

kvrocks: workers = 16, benchmark: 8 threads/ 512 conns / 128 payload

latency: 99.9% < 10ms

image

License

Kvrocks is under the Apache License Version 2.0. See the LICENSE file for details.

Social Media

  • Medium
  • Zhihu (in Chinese)
  • WeChat Official Account (in Chinese, scan the QR code to follow)

WeChat official account