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

https://chubaofs.readthedocs.io/en/latest/

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

Yum Tools to Run a ChubaoFS Cluster for CentOS 7+

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.

1. [master], [datanode], [metanode], [monitor], [client] modules define IP addresses of each role.

2. #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.

3. [cfs:vars] module defines parameters for SSH connection. So make sure the port, username and password for SSH connection is unified before start.

4. #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 1.16+ and Helm 3 are required.

Initialize Helm:

$ helm init

Add repository to download Helm chart of ChubaoFS:

$ helm repo add chubaofs https://chubaofs.github.io/chubaofs-charts
$ helm repo update

Create the configuration file chubaofs.yaml and put it in a user-defined path.

$ cat ~/chubaofs.yaml 

path:
  data: /chubaofs/data
  log: /chubaofs/log

datanode:
  disks:
    - disk: "/data0:21474836480"
    - disk: "/data1:21474836480"
      
metanode:
  total_mem: "2147483648"

Note that chubaofs-helm/chubaofs/values.yaml includes all the parameters of ChubaoFS. Parameters path.data and path.log define paths to store the data and logs of ChubaoFS server, respectively.

Label the nodes in Kubernetes according to different roles(master/metanode/datanode):

$ kubectl label node <nodename> chuabaofs-master=enabled
$ kubectl label node <nodename> chuabaofs-metanode=enabled
$ kubectl label node <nodename> chuabaofs-datanode=enabled

Install ChubaoFS cluster with Helm:

$ helm install chubaofs chubaofs/chubaofs --version 1.5.0 -f ~/chubaofs.yaml

Delete ChubaoFS cluster:

$ helm delete chubaofs

Refer to chubaofs-helm for deployment with Helm 2 and deployment of monitoring system.

License

ChubaoFS is licensed under the Apache License, Version 2.0. For detail see LICENSE and NOTICE.

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

Community

• Twitter: @ChubaoFS
• Mailing list: [email protected]
• Slack: chubaofs.slack.com