Kvrocks

Build and run Kvrocks

Prerequisite

# Ubuntu / Debian
sudo apt update
sudo apt install -y git build-essential cmake libtool python3 libssl-dev

# CentOS / RedHat
sudo yum install -y centos-release-scl-rh
sudo yum install -y git devtoolset-11 autoconf automake libtool libstdc++-static python3 openssl-devel
# enable gcc and make in devtoolset-11
source /opt/rh/devtoolset-11/enable

# openSUSE / SUSE Linux Enterprise
sudo zypper install -y gcc11 gcc11-c++ make wget git autoconf automake python3 curl cmake

# Arch Linux
sudo pacman -Sy --noconfirm autoconf automake python3 git wget which cmake make gcc

# macOS
brew install git cmake autoconf automake libtool openssl
# please link openssl by force if it still cannot be found after installing
brew link --force openssl

Running Kvrocks

$ ./build/kvrocks -c kvrocks.conf

Running Kvrocks using Docker

$ docker run -it -p 6666:6666 apache/kvrocks --bind 0.0.0.0
# or get the nightly image:
$ docker run -it -p 6666:6666 apache/kvrocks:nightly

Please visit Apache Kvrocks on DockerHub for additional details about images.

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

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

Tools

To manage Kvrocks clusters for failover, scaling up/down and more, use kvrocks-controller
To export the Kvrocks monitor metrics, use kvrocks_exporter
To migrate from Redis to Kvrocks, use RedisShake
To migrate from Kvrocks to Redis, use kvrocks2redis built via ./x.py build

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