johny-mnemonic / docker_lizardfs

Docker image for running a LizardFS cluster

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Docker LizardFS

A Docker image that can be used to build a fully functional LizardFS cluster.

Usage

The same Docker image is used to run each different kind of LizardFS service: master, metalogger, chunkserver, cgiserver, and client. You tell the container which service to run by setting the Docker command, or by passing in the service name after the image name on the commandline.

docker-compose.yml

version: '3'
services:
  mfsmaster:
    image: kadimasolutions/lizardfs
    command: master
  metalogger:
    image: kadimasolutions/lizardfs
    command: metalogger
...

Or on the commandline:

$ docker run -d --name mfsmaster kadimasolutions/lizardfs master

Services

Master, Metalogger, and Chunkserver

The master, metalogger, and chunkserver services are configured using environment variables ( see configuration ).

CGI Server

The cgiserver service does not require configuration. It starts a webserver inside the container running on port 80. If the master service is running with a different name than mfsmaster you will have to put the host in the url when you access the CGI server: http://192.168.99.100/mfs.cgi?materhost=192.168.99.100.

Client

You can run the container with the client command and it will look for and connect to the mfsmaster and mount the filesystem into the container at /mnt/mfs. You can change which path the filesystem is mounted to by passing it in after client. The container will also need to be run as privileged and linked to the master container. For example:

$ docker run -d --name mymaster kadimasolutions/lizardfs master
$ docker run -d --name myclient --link mymaster:mfsmaster --privileged kadimasolutions/lizardfs client /mnt/my-alternate-moutpoint

All arguments passed in after client and the moutpoint will be passed directly to the mfsmount command. You can see all available options with --help.

$ docker run --privileged kadimasolutions/lizardfs client --help

After the client has connected, you can access the LizardFS filesystem by execing into the container.

$ docker exec -it myclient bash
root@contianerid:/$ cd /mnt/mfs
root@containerid:/mnt/mfs$ echo "LizardFS file" > lizardfsfile.txt
root@containerid:/mnt/mfs$ cat lizardfsfile.txt
LizardFS file

Deployment

The LizardFS Docker image is deployed easiest through Docker Compose or Docker Swarm. We have provided a docker-compose.yml file that can be used to test a LizardFS cluster on a local Docker installation such as Docker Machine.

Docker Compose

Docker Compose is the easiest way to deploy a test LizardFS cluster on a single machine. This is a great way to test the features of LizardFS. Because it only runs on a single machine this setup not useful in production. For running in production use Docker Swarm.

This repository comes with a Docker Compose file that can be used to run a test cluster. To get started just clone this repository and run docker-compose up in the repository root directory.

$ cd docker_lizardfs
$ docker-compose up -d --scale mfsmaster-shadow=2 --scale chunkserver=3 --scale metalogger=4

You can then hit the web interface on 8080 at the IP address of the server running Docker. On the "Servers" tab of the web interface you should be able to see that you have a cluster consisting of 1 master, 2 shadow masters, 3 chunkservers, and 4 metaloggers. Congratulations you are running a full LizardFS cluster!

You can experiment with the cluster by creating some files. Exec into one of the client containers and copy /etc inside the container to the LizardFS mountpoint at /mnt/mfs.

$ docker-compose exec client1 bash
root@containerid:/$ cd /mnt/mfs
root@containerid:/mnt/mfs$ cp -R /etc .

The web UI will show that you now have 218 chunks in your cluster.

web-ui-screenshot

execing into the other client container will prove that you successfully mounted your LizardFS filesystem on two clients at the same time.

$ docker-compose exec client2 bash
root@containerid:/$ cd /mnt/mfs
root@containerid:/mnt/mfs$ ls
etc

Docker Swarm

TODO

Configuration

All of the LizardFS services can be completely configured through envronment variables. The container will generate the required config files based on the passed in environment variables.

Skipping Configuration Generation

If you would instead prefer to mount in configuration files, you can disable config file generation by setting the SKIP_CONFIGURE environment variable to "true".

Note: Part of the configuration step is changing the owner of the storage directories to mfs:mfs so that LizardFS can access them. If you set SKIP_CONFIGURE=true this step will be skipped as well. You will have to make sure that the owner of the data directories is uid 9421 and gid 9421. For example: chown -R 9421:9421 /data/dir.

Master Configuration

mfsmaster.cfg

The mfsmaster.cfg file is the primary config file for the LizardFS master. It is made up of a list of key-value pairs that are explained in the documentation. You can add any key-value pair to the mfsmaster.cfg file by adding an environment variable in the format of MFSMASTER_KEY_NAME=value. For example, if you wanted to run a LizardFS shadow master you could do the following:

$ docker run -d --name shadow -e MFSMASTER_PERSONALITY=shadow kadimasolutions/lizardfs

This you can do for any key-value pairs you want to add to the mfsmaster.cfg file.

mfsexports.cfg

The mfsexports.cfg file configures access to the LizardFS filesystem. Each line in the file allows access to a portion of the filesystem according to the given rules. You set the lines in the file by adding environment variables in the format of MFSEXPORTS_LINE_NUMBER='line contents'. The first two lines, MFSEXPORTS_1 and MFSEXPORTS_2, are preset to the LizardFS defaults:

*                       /       rw,alldirs,maproot=0
*                       .       rw

This exports the root filesystem and the metadata path to any ip address and gives read-write access. These lines can be overwritten by setting the values of MFSEXPORTS_1 and MFSEXPORTS_2. Additional lines can also be added by setting MFSEXPORTS_3, MFSEXPORTS_4, and so on for however many rules are desired.

mfsgoals.cfg

The mfsgoals.cfg file configures replication goals for LizardFS. More information about configuring replication goals can be found in the LizardFS documentation.

The lines of this file can be configured using environment variables ( see mfsexports.cfg ). The first five lines are preset to the LizardFS defaults:

1 1 : _
2 2 : _ _
3 3 : _ _ _
4 4 : _ _ _ _
5 5 : _ _ _ _ _

Warning: When setting goals that require the use of the $ sign, such as erasure coding rules. Be sure to escape the $ sign if setting the value in a Docker Compose file. To put a literal $ in an environment variable in a compose file you use $$. For example:

...
environment:
  MFSGOALS_5: "5 erasure_coding_rule : $$ec(3,1)"
...

mfstopology.cfg

The mfstopology.cfg file allows you to optionally assign different IP addresses to different network locations.

The lines of this file can be configured using environment variables ( see mfexports.cfg ). This file has no entries by default.

Metalogger Configuration

mfsmetalogger.cfg

The mfsmetalogger.cfg file is made up of a list of key-value pairs used to configure the Metalogger service.

This file can be configured using environment variables ( see mfsmaster.cfg ).

Chunkserver Configuration

mfschunkserver.cfg

The mfschunkserver.cfg is made up of a list of key-value pairs used to configure the Chunkserver service.

This file can be configured using environment variables ( see mfsmaster.cfg ).

mfshdd.cfg

The mfshdd.cfg file is a list of mountpoints or directories that LizardFS will use for storage. In general these should be dedicated drives formatted as either XFS or ZFS. Each line should be a path that will be used for storage. A path prefixed with a * will be evacuated and all data will be replicated to different drives.

The lines of this file can be configured using environment variables ( see mfexports.cfg ). This file has no entries by default.

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Docker image for running a LizardFS cluster


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