Currently runs w/ Docker v24.0, docker-compose-plugin v21.0 under Ubuntu 22.04 LTS.
To install Docker and Docker Compose from docker.com, and create a swarm, run:
./docker/docker-init.sh init
To install Docker and Docker Compose from docker.com, and join an existing swarm (Note: we do not currently deploy containers across more than one node):
./docker/docker-init.sh join TOKEN ADDR:PORT
Where TOKEN and ADDR:PORT come from:
docker swarm join-token manager
Or:
docker swarm join-token worker
With any branch OTHER than staging or prod checked out, run (as root)
./docker/deploy.sh
By default deploy.sh expects the branch to be clean (checked in)
and pushed to origin. It will tag the git repository and the
Docker image with a tag like: YYYY-MM-DD-HH-MM-SS-HOSTNAME-BRANCH
For easy development, a "dirty" deploy can be done with the -a
option, resulting in an image tag of <USERNAME>-dirty (and no git
tag). BUT you should make sure you can run a checked-in/clean
deploy before opening a PR.
Your stack will be named -indexer.
To check the health and logs of specific service within the Swarm
docker service logs <STACK>_process_name
Log files from all containers are collected by the syslog-sink container in (container) /app/data/logs/messages.log (log files rotated hourly and retained for 14 days).
The logs directory can be found outside docker as /var/lib/docker/volumes/_worker_data/_data/logs
To list running services and container replica counts:
docker service ls
or
docker service ls --filter name=<STACK>_
To check that containers are not failing and being restarted, after a
few minutes check docker ps output; docker ps -a will show
Exited for containers that have terminated.
A development deploy will fetch 5000 articles once (no restart at midnight GMT)
To scale or stop a single service:
docker service scale SERVICE=NUMBER
To remove your stack:
docker stack rm <STACK>
Stack volumes will be created in /var/lib/docker/volumes and will include: _elasticsearch_data_01 _rabbitmq_data _worker_data
To reset any volume:
docker volume rm <VOLUMENAME>
A composite log file (rotated hourly) can be found in: /var/lib/docker/volumes/_worker_data/_data/logs/messages.log and can be followed with "tail -F"
Before deploying to production, the candidate code should be tested in staging:
To merge main to staging:
git checkout staging; git merge main; git push upstream
Where upstream is [email protected]:mediacloud/story-indexer.git.
To avoid losing fixes, no changes should be checked in directly to the
staging branch: all changes should be merged to main first, and main
should be merged into staging.
And to deploy:
./docker/deploy.sh
The staging stack will be named staging-indexer.
A staging deploy will fetch 50000 articles once (no restart at midnight GMT).
The staging stack can be removed after the batch has been completed.
Statistics from the staging stack are available in grafana.
Deployment to production should only be done after code has run cleanly in staging.
As in staging, no changes should be made directly to the prod branch.
And the number of the counting shall be three.
Four shalt thou not count,
neither count thou two,
excepting that thou then proceed to three.
Five is right out.
To merge run:
git checkout prod; git merge staging; git push upstream
And to deploy run:
./docker/deploy.sh
You will be asked to confirm twice.
Since the fetcher starts new batches for yesterday after midnight GMT,
and runs for many hours, code should be deployed to the production
stack named indexer shortly after midnight GMT.
$ ./docker/deploy.sh -h
Usage: ./deploy.sh [options]
options:
-a allow-dirty; no dirty/push checks; no tags applied (for dev)
-b build image but do not deploy
-B BR dry run for specific branch BR (ie; staging or prod, for testing)
-d enable debug output (for template parameters)
-h output this help and exit
-H /HIST_FILE_PREFIX
prefix for historical pipeline files (must start with /)
-I INPUTS
queuer input files/options
-O OPTS override queuer sampling options
-T TYPE select pipeline type: batch-fetcher, historical, archive, queue-fetcher
-n dry-run: creates docker-compose.yml but does not invoke docker (implies -a -u)
-u allow running as non-root user
-Y HIST_YEAR
select year for historical pipeline
The -I and -O options apply to "queuer" programs (ie; not the
batch fetcher), both options can be passed multiple command line
arguments (by quoting the option argument).
-I overrides only the default input file(s), but leaves any sampling
options (for development and staging) in place.
-O overrides only the sampling options (-O ' ' can be used to turn off sampling).
docker-compose.yml is generated each time from the Jinja2 template docker-compose.yml.j2
Read the comments at the top of the template before opening a PR with changes.
In particular:
Keep complexity out of the template
(Yes, Jinja2 is probably Turing complete, but try to use it to just substitute values, and "ifdef" parts in and out.)
Keep policy decisions in deploy.sh, and supply values and feature-based booleans to the template
See mediacloud#115 for Phil's thoughts on how a deploy.py might be nice.
The following test should be run before opening a PR with changes to deploy.sh and docker-compose.yaml.j2 to ensure all template variables are supplied in all environments:
./docker/deploy.sh -B dev
./docker/deploy.sh -B staging
./docker/deploy.sh -B prod
PLB: (maybe make this part of the pre-commit checks? how??)
An independent stack for processing historical data can be launched
with deploy.sh -T historical, and the stack will be prefixed with
hist-.
An independent stack for processing historical data can be launched
with deploy.sh -T archive, and the stack will be prefixed with
arch-.