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The ChubaoFS Project holds bi-weekly community online meeting. To join or watch previous meeting notes and recordings, please see meeting schedule and meeting minutes. |
Note: The master
branch may be in an unstable or even broken state during development.
Please use releases instead of the master
branch in order to get a stable set of binaries.
- Overview
- Documents
- Benchmark
- Build ChubaoFS
- Yum Tools to Run a ChubaoFS Cluster for CentOS 7+
- Run a ChubaoFS Cluster within Docker
- Helm chart to Run a ChubaoFS Cluster in Kubernetes
- Reference
- Contributing
- Reporting a security vulnerability
- Community
- Partners and Users
- License
ChubaoFS (储宝文件系统 in Chinese) is a cloud-native storage platform that provides both POSIX-compliant and S3-compatible interfaces. It is hosted by the Cloud Native Computing Foundation (CNCF) as a sandbox project.
ChubaoFS has been commonly used as the underlying storage infrastructure for online applications, database or data processing services and machine learning jobs orchestrated by Kubernetes. An advantage of doing so is to separate storage from compute - one can scale up or down based on the workload and independent of the other, providing total flexibility in matching resources to the actual storage and compute capacity required at any given time.
Some key features of ChubaoFS include:
-
Scale-out metadata management
-
Strong replication consistency
-
Specific performance optimizations for large/small files and sequential/random writes
-
Multi-tenancy
-
POSIX-compatible and mountable
-
S3-compatible object storage interface
We are committed to making ChubaoFS better and more mature. Please stay tuned.
English version: https://chubaofs.readthedocs.io/en/latest/
Chinese version: https://chubaofs.readthedocs.io/zh_CN/latest/
Small file operation performance and scalability benchmark test by mdtest.
File Size (KB) | 1 | 2 | 4 | 8 | 16 | 32 | 64 | 128 |
---|---|---|---|---|---|---|---|---|
Creation (TPS) | 70383 | 70383 | 73738 | 74617 | 69479 | 67435 | 47540 | 27147 |
Read (TPS) | 108600 | 118193 | 118346 | 122975 | 116374 | 110795 | 90462 | 62082 |
Removal (TPS) | 87648 | 84651 | 83532 | 79279 | 85498 | 86523 | 80946 | 84441 |
Stat (TPS) | 231961 | 263270 | 264207 | 252309 | 240244 | 244906 | 273576 | 242930 |
Refer to chubaofs.readthedocs.io for performance and scalability of IO
and Metadata
.
$ git clone https://github.com/chubaofs/chubaofs.git
$ cd chubaofs
$ make
For example,the current chubaofs directory is /root/arm64/chubaofs,build.sh will auto download follow source codes to vendor/dep directory :
bzip2-1.0.6 lz4-1.9.2 zlib-1.2.11 zstd-1.4.5
gcc version as v4 or v5:
cd /root/arm64/chubaofs export CPUTYPE=arm64_gcc4 && bash ./build.sh
gcc version as v9 :
export CPUTYPE=arm64_gcc9 && bash ./build.sh
gcc version as v4, support Ububtu 14.04 and up version,CentOS7.6 and up version. Check libstdc++.so.6 version must more than `GLIBCXX_3.4.19',if fail please update libstdc++.
cd /root/arm64/chubaofs
docker build --rm --tag arm64_gcc4_golang1_13_ubuntu_14_04_chubaofs ./build/compile/arm64/gcc4
make dist-clean
docker run -v /root/arm64/chubaofs:/root/chubaofs arm64_gcc4_golang1_13_ubuntu_14_04_chubaofs /root/buildcfs.sh
Remove image:
docker image remove -f arm64_gcc4_golang1_13_ubuntu_14_04_chubaofs
The list of RPM packages dependencies can be installed with:
$ yum install https://storage.jd.com/chubaofsrpm/latest/cfs-install-latest-el7.x86_64.rpm
$ cd /cfs/install
$ tree -L 2
.
├── install_cfs.yml
├── install.sh
├── iplist
├── src
└── template
├── client.json.j2
├── create_vol.sh.j2
├── datanode.json.j2
├── grafana
├── master.json.j2
└── metanode.json.j2
Set parameters of the ChubaoFS cluster in iplist
.
-
[master]
,[datanode]
,[metanode]
,[monitor]
,[client]
modules define IP addresses of each role. -
#datanode config
module defines parameters of DataNodes.datanode_disks
definespath
andreserved space
separated by ":". Thepath
is where the data store in, so make sure it exists and has at least 30GB of space;reserved space
is the minimum free space(Bytes) reserved for the path. -
[cfs:vars]
module defines parameters for SSH connection. So make sure the port, username and password for SSH connection is unified before start. -
#metanode config
module defines parameters of MetaNodes.metanode_totalMem
defines the maximum memory(Bytes) can be use by MetaNode process.
[master]
10.196.0.1
10.196.0.2
10.196.0.3
[datanode]
...
[cfs:vars]
ansible_ssh_port=22
ansible_ssh_user=root
ansible_ssh_pass="password"
...
#datanode config
...
datanode_disks = '"/data0:10737418240","/data1:10737418240"'
...
#metanode config
...
metanode_totalMem = "28589934592"
...
For more configurations please refer to documentation.
Start the resources of ChubaoFS cluster with script install.sh
. (make sure the Master is started first)
$ bash install.sh -h
Usage: install.sh -r | --role [datanode | metanode | master | objectnode | console | monitor | client | all | createvol ] [2.1.0 or latest]
$ bash install.sh -r master
$ bash install.sh -r metanode
$ bash install.sh -r datanode
$ bash install.sh -r monitor
$ bash install.sh -r client
$ bash install.sh -r console
Check mount point at /cfs/mountpoint
on client
node defined in iplist
.
Open https://[the IP of console system] through a browser for web console system(the IP of console system is defined in iplist
). In console default user is root
, password is ChubaoFSRoot
. In monitor default user is admin
,password is 123456
.
A helper tool called run_docker.sh
(under the docker
directory) has been provided to run ChubaoFS with docker-compose.
$ docker/run_docker.sh -r -d /data/disk
Note that /data/disk can be any directory but please make sure it has at least 10G available space.
To check the mount status, use the mount
command in the client docker shell:
$ mount | grep chubaofs
To view grafana monitor metrics, open https://127.0.0.1:3000 in browser and login with admin/123456
.
To run server and client separately, use the following commands:
$ docker/run_docker.sh -b
$ docker/run_docker.sh -s -d /data/disk
$ docker/run_docker.sh -c
$ docker/run_docker.sh -m
For more usage:
$ docker/run_docker.sh -h
The chubaofs-helm repository can help you deploy ChubaoFS cluster quickly in containers orchestrated by kubernetes. Kubernetes 1.12+ and Helm 3 are required. chubaofs-helm has already integrated ChubaoFS CSI plugin
$ git clone https://github.com/chubaofs/chubaofs-helm
$ cd chubaofs-helm
ChubaoFS CSI driver will use client-go to connect the Kubernetes API Server. First you need to copy the kubeconfig file to chubaofs-helm/chubaofs/config/
directory, and rename to kubeconfig
$ cp ~/.kube/config chubaofs/config/kubeconfig
Create a chubaofs.yaml
file, and put it in a user-defined path. Suppose this is where we put it.
$ cat ~/chubaofs.yaml
path:
data: /chubaofs/data
log: /chubaofs/log
datanode:
disks:
- /data0:21474836480
- /data1:21474836480
metanode:
total_mem: "26843545600"
provisioner:
kubelet_path: /var/lib/kubelet
Note that
chubaofs-helm/chubaofs/values.yaml
shows all the config parameters of ChubaoFS. The parameterspath.data
andpath.log
are used to store server data and logs, respectively.
You should tag each Kubernetes node with the appropriate labels accorindly for server node and CSI node of ChubaoFS.
kubectl label node <nodename> chuabaofs-master=enabled
kubectl label node <nodename> chuabaofs-metanode=enabled
kubectl label node <nodename> chuabaofs-datanode=enabled
kubectl label node <nodename> chubaofs-csi-node=enabled
$ helm install chubaofs ./chubaofs -f ~/chubaofs.yaml
Haifeng Liu, et al., CFS: A Distributed File System for Large Scale Container Platforms. SIGMOD‘19, June 30-July 5, 2019, Amsterdam, Netherlands.
For more information, please refer to https://dl.acm.org/citation.cfm?doid=3299869.3314046 and https://arxiv.org/abs/1911.03001
Recommend the standard GitHub flow based on forking and pull requests.
See CONTRIBUTING.md for detail.
See security disclosure process for detail.
- Twitter: @ChubaoFS
- Mailing list: [email protected]
- Slack: chubaofs.slack.com
- WeChat: detail see here.
For a list of users and success stories see ADOPTERS.md.
ChubaoFS is licensed under the Apache License, Version 2.0. For detail see LICENSE and NOTICE.