ChubaoFS
Overview
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.
Document
English version: https://chubaofs.readthedocs.io/en/latest/
Chinese version: https://chubaofs.readthedocs.io/zh_CN/latest/
Benchmark
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
.
Build ChubaoFS
$ git clone http://github.com/chubaofs/chubaofs.git
$ cd chubaofs
$ make
The list of RPM packages dependencies can be installed with:
$ yum install http://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
defines path
and reserved space
separated by ":". The path
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 or metanode or master or monitor or client or all ] [-v --version 1.5.1 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
Check mount point at /cfs/mountpoint
on client
node defined in iplist
.
Open http://10.196.0.1:8500 through a browser for monitoring system(the IP of monitoring system is defined in iplist
).
Run a ChubaoFS Cluster within Docker
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 http://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
Helm chart to Run a ChubaoFS Cluster in Kubernetes
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
Download chubaofs-helm
$ git clone https://github.com/chubaofs/chubaofs-helm
$ cd chubaofs-helm
Copy kubeconfig file
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 configuration yaml file
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 parameters path.data
and path.log
are used to store server data and logs, respectively.
Add labels to Kubernetes node
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
Deploy ChubaoFS cluster
$ helm install chubaofs ./chubaofs -f ~/chubaofs.yaml
Reference
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
Partners and Users
For a list of users and success stories see ADOPTERS.md.
License
ChubaoFS is licensed under the Apache License, Version 2.0.
For detail see LICENSE and NOTICE.