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TigerBeetle can be run using Docker. However, it is not recommended.
TigerBeetle is distributed as a single, small, statically-linked binary. It should be easy to run directly on the target machine. Using Docker as an abstraction adds complexity while providing relatively little in this case.
The Docker image is available from the Github Container Registry:
https://github.com/tigerbeetle/tigerbeetle/pkgs/container/tigerbeetle
When using Docker, the data file must be mounted as a volume:
docker run --security-opt seccomp=unconfined \
-v $(pwd)/data:/data ghcr.io/tigerbeetle/tigerbeetle \
format --cluster=0 --replica=0 --replica-count=1 /data/0_0.tigerbeetle
info(io): creating "0_0.tigerbeetle"...
info(io): allocating 660.140625MiB...
docker run -it --security-opt seccomp=unconfined \
-p 3000:3000 -v $(pwd)/data:/data ghcr.io/tigerbeetle/tigerbeetle \
start --addresses=0.0.0.0:3000 /data/0_0.tigerbeetle
info(io): opening "0_0.tigerbeetle"...
info(main): 0: cluster=0: listening on 0.0.0.0:3000
Format the data file for each replica:
docker run --security-opt seccomp=unconfined -v $(pwd)/data:/data ghcr.io/tigerbeetle/tigerbeetle format --cluster=0 --replica=0 --replica-count=3 /data/0_0.tigerbeetle
docker run --security-opt seccomp=unconfined -v $(pwd)/data:/data ghcr.io/tigerbeetle/tigerbeetle format --cluster=0 --replica=1 --replica-count=3 /data/0_1.tigerbeetle
docker run --security-opt seccomp=unconfined -v $(pwd)/data:/data ghcr.io/tigerbeetle/tigerbeetle format --cluster=0 --replica=2 --replica-count=3 /data/0_2.tigerbeetle
Note that the data file stores which replica in the cluster the file belongs to.
Then, create a docker-compose.yml file:
version: "3.7"
##
# Note: this example might only work with linux + using `network_mode:host` because of 2 reasons:
#
# 1. When specifying an internal docker network, other containers are only available using dns based routing:
# e.g. from tigerbeetle_0, the other replicas are available at `tigerbeetle_1:3002` and
# `tigerbeetle_2:3003` respectively.
#
# 2. Tigerbeetle performs some validation of the ip address provided in the `--addresses` parameter
# and won't let us specify a custom domain name.
#
# The workaround for now is to use `network_mode:host` in the containers instead of specifying our
# own internal docker network
##
services:
tigerbeetle_0:
image: ghcr.io/tigerbeetle/tigerbeetle
command: "start --addresses=0.0.0.0:3001,0.0.0.0:3002,0.0.0.0:3003 /data/0_0.tigerbeetle"
network_mode: host
volumes:
- ./data:/data
security_opt:
- "seccomp=unconfined"
tigerbeetle_1:
image: ghcr.io/tigerbeetle/tigerbeetle
command: "start --addresses=0.0.0.0:3001,0.0.0.0:3002,0.0.0.0:3003 /data/0_1.tigerbeetle"
network_mode: host
volumes:
- ./data:/data
security_opt:
- "seccomp=unconfined"
tigerbeetle_2:
image: ghcr.io/tigerbeetle/tigerbeetle
command: "start --addresses=0.0.0.0:3001,0.0.0.0:3002,0.0.0.0:3003 /data/0_2.tigerbeetle"
network_mode: host
volumes:
- ./data:/data
security_opt:
- "seccomp=unconfined"
And run it:
docker-compose up
docker-compose up
Starting tigerbeetle_0 ... done
Starting tigerbeetle_2 ... done
Recreating tigerbeetle_1 ... done
Attaching to tigerbeetle_0, tigerbeetle_2, tigerbeetle_1
tigerbeetle_1 | info(io): opening "0_1.tigerbeetle"...
tigerbeetle_2 | info(io): opening "0_2.tigerbeetle"...
tigerbeetle_0 | info(io): opening "0_0.tigerbeetle"...
tigerbeetle_0 | info(main): 0: cluster=0: listening on 0.0.0.0:3001
tigerbeetle_2 | info(main): 2: cluster=0: listening on 0.0.0.0:3003
tigerbeetle_1 | info(main): 1: cluster=0: listening on 0.0.0.0:3002
tigerbeetle_0 | info(message_bus): connected to replica 1
tigerbeetle_0 | info(message_bus): connected to replica 2
tigerbeetle_1 | info(message_bus): connected to replica 2
tigerbeetle_1 | info(message_bus): connection from replica 0
tigerbeetle_2 | info(message_bus): connection from replica 0
tigerbeetle_2 | info(message_bus): connection from replica 1
tigerbeetle_0 | info(clock): 0: system time is 83ns ahead
tigerbeetle_2 | info(clock): 2: system time is 83ns ahead
tigerbeetle_1 | info(clock): 1: system time is 78ns ahead
... and so on ...
If you see this error at startup, it is likely because you are running Docker
25.0.0 or newer, which blocks io_uring by default. Set
--security-opt seccomp=unconfined
to fix it.
If you see this error without any logs from TigerBeetle, it is likely that the Linux OOMKiller is killing the process. If you are running Docker inside a virtual machine (such as is required on Docker or Podman for macOS), try increasing the virtual machine memory limit.
Alternatively, in a development environment, you can lower the size of the cache
so TigerBeetle uses less memory. For example, set --cache-grid=256MiB
when
running tigerbeetle start
.
If TigerBeetle panics and you can reproduce the panic, you can get a better
stack trace by switching to a debug image (by using the :debug
Docker image
tag).
docker run -p 3000:3000 -v $(pwd)/data:/data ghcr.io/tigerbeetle/tigerbeetle:debug \
start --addresses=0.0.0.0:3000 /data/0_0.tigerbeetle
If you get error: SystemResources
when running TigerBeetle in Docker on macOS,
you will need to do one of the following:
- Run
docker run
with--cap-add IPC_LOCK
- Run
docker run
with--ulimit memlock=-1:-1
- Or modify the defaults in
$HOME/.docker/daemon.json
and restart the Docker for Mac application:
{
... other settings ...
"default-ulimits": {
"memlock": {
"Hard": -1,
"Name": "memlock",
"Soft": -1
}
},
... other settings ...
}
If you are running TigerBeetle with Docker Compose, you will need to add the
IPC_LOCK
capability like this:
... rest of docker-compose.yml ...
services:
tigerbeetle_0:
image: ghcr.io/tigerbeetle/tigerbeetle
command: "start --addresses=0.0.0.0:3001,0.0.0.0:3002,0.0.0.0:3003 /data/0_0.tigerbeetle"
network_mode: host
cap_add: # HERE
- IPC_LOCK # HERE
volumes:
- ./data:/data
... rest of docker-compose.yml ...
See tigerbeetle#92 for discussion.