swh-environment/docker/ contains Dockerfiles to run a small Software Heritage
instance on development machines. The end goal is to smooth the
contributors/developers workflow. Focus on coding, not configuring!
Running a Software Heritage instance on your machine can consume quite a bit of resources: if you play a bit too hard (e.g., if you try to list all GitHub repositories with the corresponding lister), you may fill your hard drive, and consume a lot of CPU, memory and network bandwidth.
This uses Docker with Compose, so ensure you have a working Docker environment and that the docker compose plugin is installed.
We recommend using the latest version of docker, so please read https://docs.docker.com/install/linux/docker-ce/debian/ for more details on how to install Docker on your machine.
This runs the following services on their respectively standard ports, all of the following services are configured to communicate with each other:
softwareheritageinstance db that stores the Merkle DAG,
swh-objstorage: Content-addressable object storage,
swh-storage: Abstraction layer over the archive, allowing to access all stored source code artifacts as well as their metadata,
swh-web: the Software Heritage web user interface (with a default “admin” account with password “admin”),
swh-scheduler: the API service as well as 2 utilities, the runner and the listener,
swh-lister: celery workers dedicated to running lister tasks,
swh-loaders: celery workers dedicated to importing/updating source code content (VCS repos, source packages, etc.),
swh-journal: Persistent logger of changes to the archive, with publish-subscribe support.
That means you can start doing the ingestion using those services using the same setup described in the getting-started starting directly at https://docs.softwareheritage.org/devel/getting-started.html#step-4-ingest-repositories
Several services have their listening ports exposed on the host:
And for SWH services:
scheduler API: 5008
storage API: 5002
object storage API: 5003
indexer API: 5007
web app: 5004
deposit app: 5006
Beware that these ports are not the same as the ports used from within
the docker network. This means that the same command executed from the
host or from a docker container will not use the same urls to access
services. For example, to use the
celery utility from the host, you
~/swh-environment/docker$ celery --broker amqp://:5072// \ --app swh.scheduler.celery_backend.config.app status loader@61704103668c: OK [...]
To run the same command from within a container:
~/swh-environment/docker$ docker compose exec swh-scheduler celery status loader@61704103668c: OK [...]
kafka topics from the host, for example to run the swh
dataset graph export command, a configuration file could be:
~/swh-environment/docker$ cat dataset_config.yml journal: brokers: - 127.0.0.1:5092 ~/swh-environment/docker$ swh dataset -C dataset_config.yml graph export output Exporting release: - Partition offsets: 100%|███████████████████████████████| 16/16 [00:00<00:00, 1863.62it/s] - Export (release): 100%|████████████████| 3650/3650 [00:08<00:00, 437.89it/s, workers=1/1] [...]
One of the main components of the Software Heritage platform is the task system. These are used to manage everything related to background process, like discovering new git repositories to import, ingesting them, checking a known repository is up to date, etc.
The task system is based on Celery but uses a custom database-based scheduler.
So when we refer to the term ‘task’, it may designate either a Celery task or a SWH one (ie. the entity in the database). When we refer to simply a “task” in the documentation, it designates the SWH task.
When a SWH task is ready to be executed, a Celery task is created to handle the actual SWH task’s job. Note that not all Celery tasks are directly linked to a SWH task (some SWH tasks are implemented using a Celery task that spawns Celery subtasks).
A (SWH) task can be
oneshot tasks are
only executed once, whereas
recurring are regularly executed. The
scheduling configuration of these recurring tasks can be set via the
priority (can be ‘high’, ‘normal’ or
‘low’) of the task database entity.
Inserting a new lister task#
To list the content of a source code provider like github or a Debian distribution, you may add a new task for this.
This task will (generally) scrape a web page or use a public API to identify the list of published software artefacts (git repos, debian source packages, etc.)
Then, for each repository, a new task will be created to ingest this repository and keep it up to date.
For example, to add a (one shot) task that will list git repos on the 0xacab.org gitlab instance, one can do (from this git repository):
~/swh-environment/docker$ docker compose exec swh-scheduler \ swh scheduler task add list-gitlab-full \ -p oneshot url=https://0xacab.org/api/v4 Created 1 tasks Task 12 Next run: just now (2018-12-19 14:58:49+00:00) Interval: 90 days, 0:00:00 Type: list-gitlab-full Policy: oneshot Args: Keyword args: url=https://0xacab.org/api/v4
This will insert a new task in the scheduler. To list existing tasks for a given task type:
~/swh-environment/docker$ docker compose exec swh-scheduler \ swh scheduler task list-pending list-gitlab-full Found 1 list-gitlab-full tasks Task 12 Next run: 2 minutes ago (2018-12-19 14:58:49+00:00) Interval: 90 days, 0:00:00 Type: list-gitlab-full Policy: oneshot Args: Keyword args: url=https://0xacab.org/api/v4
To list all existing task types:
~/swh-environment/docker$ docker compose exec swh-scheduler \ swh scheduler task-type list Known task types: load-svn-from-archive: Loading svn repositories from svn dump load-svn: Create dump of a remote svn repository, mount it and load it load-deposit: Loading deposit archive into swh through swh-loader-tar check-deposit: Pre-checking deposit step before loading into swh archive cook-vault-bundle: Cook a Vault bundle load-hg: Loading mercurial repository swh-loader-mercurial load-hg-from-archive: Loading archive mercurial repository swh-loader-mercurial load-git: Update an origin of type git list-github-incremental: Incrementally list GitHub list-github-full: Full update of GitHub repos list list-debian-distribution: List a Debian distribution list-gitlab-incremental: Incrementally list a Gitlab instance list-gitlab-full: Full update of a Gitlab instance's repos list list-pypi: Full pypi lister load-pypi: Load Pypi origin index-mimetype: Mimetype indexer task index-mimetype-for-range: Mimetype Range indexer task index-fossology-license: Fossology license indexer task index-fossology-license-for-range: Fossology license range indexer task index-origin-head: Origin Head indexer task index-revision-metadata: Revision Metadata indexer task index-origin-metadata: Origin Metadata indexer task
You can monitor the workers activity by connecting to the RabbitMQ
http://localhost:5080/rabbitmq or the grafana dashboard
If you cannot see any task being executed, check the logs of the
swh-scheduler-runner service (here is a failure example due to the
debian lister task not being properly registered on the
~/swh-environment/docker$ docker compose logs --tail=10 swh-scheduler-runner Attaching to docker_swh-scheduler-runner_1 swh-scheduler-runner_1 | "__main__", mod_spec) swh-scheduler-runner_1 | File "/usr/local/lib/python3.7/runpy.py", line 85, in _run_code swh-scheduler-runner_1 | exec(code, run_globals) swh-scheduler-runner_1 | File "/usr/local/lib/python3.7/site-packages/swh/scheduler/celery_backend/runner.py", line 107, in <module> swh-scheduler-runner_1 | run_ready_tasks(main_backend, main_app) swh-scheduler-runner_1 | File "/usr/local/lib/python3.7/site-packages/swh/scheduler/celery_backend/runner.py", line 81, in run_ready_tasks swh-scheduler-runner_1 | task_types[task['type']]['backend_name'] swh-scheduler-runner_1 | File "/usr/local/lib/python3.7/site-packages/celery/app/registry.py", line 21, in __missing__ swh-scheduler-runner_1 | raise self.NotRegistered(key) swh-scheduler-runner_1 | celery.exceptions.NotRegistered: 'swh.lister.debian.tasks.DebianListerTask'
Using docker setup development and integration testing#
If you hack the code of one or more archive components with a virtual env based setup as described in the developer setup guide, you may want to test your modifications in a working Software Heritage instance. The simplest way to achieve this is to use this docker-based environment.
If you haven’t followed the
developer setup guide, you must clone the the [swh-environment] repo in your
~/swh-environment$ git clone https://forge.softwareheritage.org/source/swh-environment.git .
. at the end of this command: we want the git repository to
be cloned directly in the
~/swh-environment directory, not in a sub
directory. Also note that if you haven’t done it yet and you want to
hack the source code of one or more Software Heritage packages, you
really should read the
developer setup guide.
From there, we will checkout or update all the swh packages:
Install a swh package from sources in a container#
It is possible to run a docker container with some swh packages
installed from sources instead of using the latest published packages
from pypi. To do this you must write a
Docker Compose override file
docker-compose.override.yml). An example is given in the
version: '2' services: swh-objstorage: volumes: - "$HOME/swh-environment/swh-objstorage:/src/swh-objstorage"
The file named
docker-compose.override.yml will automatically be
loaded by Docker Compose.
This example shows the simplest case of the
you just have to mount it in the container in
/src and the
entrypoint will ensure every swh-* package found in
pip install -e so you can easily hack your code).
If the application you play with has autoreload support, there is no
need to restart the impacted container.)
Using locally installed swh tools with docker#
In all examples above, we have executed swh commands from within a running container. Now we also have these swh commands locally available in our virtual env, we can use them to interact with swh services running in docker containers.
For this, we just need to configure a few environment variables. First, ensure your Software Heritage virtualenv is activated (here, using virtualenvwrapper):
~$ workon swh (swh) ~/swh-environment$ export SWH_SCHEDULER_URL=http://127.0.0.1:5008/ (swh) ~/swh-environment$ export BROKER_URL=amqp://127.0.0.1:5072/ (swh) ~/swh-environment$ export APP=swh.scheduler.celery_backend.config.app
Now we can use the
celery command directly to control the celery
system running in the docker environment:
(swh) ~/swh-environment$ celery status vault@c9fef1bbfdc1: OK listers@ba66f18e7d02: OK indexer@cb14c33cbbfb: OK loader@61704103668c: OK 4 nodes online. (swh) ~/swh-environment$ celery control -d loader@61704103668c pool_grow 3
And we can use the
swh-scheduler command all the same:
(swh) ~/swh-environment$ swh scheduler task-type list Known task types: index-fossology-license: Fossology license indexer task index-mimetype: Mimetype indexer task [...]
Make your life a bit easier#
When you use virtualenvwrapper, you can add postactivation commands:
(swh) ~/swh-environment$ cat >>$VIRTUAL_ENV/bin/postactivate <<'EOF' # unfortunately, the interface cmd for the click autocompletion # depends on the shell # https://click.palletsprojects.com/en/7.x/bashcomplete/#activation shell=$(basename $SHELL) case "$shell" in "zsh") autocomplete_cmd=source_zsh ;; *) autocomplete_cmd=source ;; esac eval "$(_SWH_COMPLETE=$autocomplete_cmd swh)" export SWH_SCHEDULER_URL=http://127.0.0.1:5008/ export BROKER_URL=amqp://127.0.0.1:5072/ export APP=swh.scheduler.celery_backend.config.app export COMPOSE_FILE=~/swh-environment/docker/docker-compose.yml:~/swh-environment/docker/docker-compose.override.yml alias doco="docker compose" EOF
This postactivate script does:
install a shell completion handler for the swh-scheduler command,
preset a bunch of environment variables
SWH_SCHEDULER_URLso that you can just run
swh scheduleragainst the scheduler API instance running in docker, without having to specify the endpoint URL,
APPso you can execute the
celerytool (without cli options) against the rabbitmq server running in the docker environment (see the documentation of the celery command),
COMPOSE_FILEso you can run
docker composefrom everywhere,
create an alias
docker composebecause this is way too long to type,
So now you can easily:
Start the SWH platform:
(swh) ~/swh-environment$ doco up -d [...]
(swh) ~/swh-environment$ celery status listers@50ac2185c6c9: OK loader@b164f9055637: OK indexer@33bc6067a5b8: OK
(swh) ~/swh-environment$ swh scheduler task-type list [...]
Get more info on a task type:
(swh) ~/swh-environment$ swh scheduler task-type list -v -t load-hg Known task types: load-hg: swh.loader.mercurial.tasks.LoadMercurial Loading mercurial repository swh-loader-mercurial interval: 1 day, 0:00:00 [1 day, 0:00:00, 1 day, 0:00:00] backoff_factor: 1.0 max_queue_length: 1000 num_retries: None retry_delay: None
Add a new task:
(swh) ~/swh-environment$ swh scheduler task add load-hg \ url=https://www.mercurial-scm.org/repo/hello Created 1 tasks Task 1 Next run: just now (2019-02-06 12:36:58+00:00) Interval: 1 day, 0:00:00 Type: load-hg Policy: recurring Args: Keyword args: url: https://www.mercurial-scm.org/repo/hello
Respawn a task:
(swh) ~/swh-environment$ swh scheduler task respawn 1
Data persistence for a development setting#
docker-compose.yml configuration is not geared towards
data persistence, but application testing.
Volumes defined in associated images are anonymous and may get either
unused or removed on the next
docker compose up.
One way to make sure these volumes persist is to use named volumes. The
volumes may be defined as follows in a
Note that volume definitions are merged with other compose files based
on destination path.
services: swh-storage-db: volumes: - "swh_storage_data:/var/lib/postgresql/data" swh-objstorage: volumes: - "swh_objstorage_data:/srv/softwareheritage/objects" volumes: swh_storage_data: swh_objstorage_data:
docker compose down without the
-v flag will not
remove those volumes and data will persist.
We provide some extra modularity in what components to run through
They are disabled by default, because they add layers of complexity and increase resource usage, while not being necessary to operate a small Software Heritage instance.
Starting a kafka-powered mirror of the storage#
This repo comes with an optional
docker compose file that can be used to test the kafka-powered mirror
mechanism for the main storage.
This can be used like:
~/swh-environment/docker$ docker compose \ -f docker-compose.yml \ -f docker-compose.storage-mirror.yml \ up -d [...]
Compared to the original compose file, this will:
overrides the swh-storage service to activate the kafka direct writer on swh.journal.objects prefixed topics using the swh.storage.master ID,
overrides the swh-web service to make it use the mirror instead of the master storage,
starts a db for the mirror,
starts a storage service based on this db,
starts a replayer service that runs the process that listen to kafka to keeps the mirror in sync.
When using it, you will have a setup in which the master storage is used by workers and most other services, whereas the storage mirror will be used to by the web application and should be kept in sync with the master storage by kafka.
Note that the object storage is not replicated here, only the graph storage.
Starting the backfiller#
Reading from the storage the objects from within range [start-object, end-object] to the kafka topics.
~/swh-environment/docker$ docker compose \ -f docker-compose.yml \ -f docker-compose.storage-mirror.yml \ -f docker-compose.storage-mirror.override.yml \ run \ swh-journal-backfiller \ snapshot \ --start-object 000000 \ --end-object 000001 \ --dry-run
We are working on an alternative backend for swh-storage, based on Cassandra instead of PostgreSQL.
This can be used like:
~/swh-environment/docker$ docker compose \ -f docker-compose.yml \ -f docker-compose.cassandra.yml \ up -d [...]
This launches two Cassandra servers, and reconfigures swh-storage to use them.
Efficient origin search#
By default, swh-web uses swh-storage and swh-indexer-storage to provide its search bar. They are both based on PostgreSQL and rather inefficient (or Cassandra, which is even slower).
Instead, you can enable swh-search, which is based on ElasticSearch and much more efficient, like this:
~/swh-environment/docker$ docker compose \ -f docker-compose.yml \ -f docker-compose.search.yml \ up -d [...]
The web interface shows counters of the number of objects in your archive, by counting objects in the PostgreSQL or Cassandra database.
While this should not be an issue at the scale of your local Docker instance, counting objects can actually be a bottleneck at Software Heritage’s scale. So swh-storage uses heuristics, that can be either not very efficient or inaccurate.
So we have an alternative based on Redis’ HyperLogLog feature, which you can test with:
~/swh-environment/docker$ docker compose \ -f docker-compose.yml \ -f docker-compose.counters.yml \ up -d [...]
Efficient graph traversals#
swh-graph is a work-in-progress alternative to swh-storage to perform large graph traversals/queries on the merkle DAG.
For example, it can be used by the vault, as it needs to query all objects in the sub-DAG of a given node.
You can use it with:
~/swh-environment/docker$ docker compose \ -f docker-compose.yml \ -f docker-compose.graph.yml up -d
On the first start, it will run some precomputation based on all objects already in your local SWH instance; so it may take a long time if you loaded many repositories. (Expect 5 to 10s per repository.)
It does not update automatically when you load new repositories. You need to restart it every time you want to update it.
You can mount a docker volume on
/srv/softwareheritage/graph to avoid recomputing this graph
on every start.
Then, you need to explicitly request recomputing the graph before restarts
if you want to update it:
~/swh-environment/docker$ docker compose \ -f docker-compose.yml \ -f docker-compose.graph.yml \ run swh-graph update ~/swh-environment/docker$ docker compose \ -f docker-compose.yml \ -f docker-compose.graph.yml \ stop swh-graph ~/swh-environment/docker$ docker compose \ -f docker-compose.yml \ -f docker-compose.graph.yml \ up -d swh-graph
If you really want to hack on swh-web’s authentication features, you will need to enable Keycloak as well, instead of the default Django-based authentication:
~/swh-environment/docker$ docker compose -f docker-compose.yml -f docker-compose.keycloak.yml up -d [...]
User registration in Keycloak database is available by following the Register link in the page located at http://localhost:5080/oidc/login/.
Please note that email verification is required to properly register an account. As we are in a testing environment, we use a MailHog instance as a fake SMTP server. All emails sent by Keycloak can be easily read from the MailHog Web UI located at http://localhost:8025/.
Consuming topics from the host#
As mentioned above, it is possible to consume topics from the kafka server available in the Docker Compose environment from the host using 127.0.0.1:5092 as broker URL.
It is also possible to reset a consumer group offset using the following command:
~swh-environment/docker$ docker compose \ run kafka kafka-consumer-groups.sh \ --bootstrap-server kafka:9092 \ --group <group> \ --all-topics \ --reset-offsets --to-earliest --execute [...]
You can use –topic <topic> instead of –all-topics to specify a topic.
Getting information on consumers#
You can get information on consumer groups:
~swh-environment/docker$ docker compose \ run kafka kafka-consumer-groups.sh \ --bootstrap-server kafka:9092 \ --describe --members --all-groups [...]
Or the stored offsets for all (or a given) groups:
~swh-environment/docker$ docker compose \ run kafka kafka-consumer-groups.sh \ --bootstrap-server kafka:9092 \ --describe --offsets --all-groups [...]
All entrypoints to SWH code (CLI, gunicorn, celery, …) are, or should be, instrumented using Sentry. By default this is disabled, but if you run your own Sentry instance, you can use it.
To do so, you must get a DSN from your Sentry instance, and set it as
the value of
SWH_SENTRY_DSN in the file
You may also set it per-service in the
environment section of each
Running a lister task can lead to a lot of loading tasks, which can fill your hard drive pretty fast. Make sure to monitor your available storage space regularly when playing with this stack.
Also, a few containers (
swh-xxx-db) use a volume
for storing the blobs or the database files. With the default
configuration provided in the
docker-compose.yml file, these volumes
are not persistent. So removing the containers will delete the volumes!
Also note that for the
swh-objstorage, since the volume can be
pretty big, the remove operation can be quite long (several minutes is
not uncommon), which may mess a bit with the
docker compose command.
If you have an error message like:
Error response from daemon: removal of container 928de3110381 is already in progress
it means that you need to wait for this process to finish before being able to (re)start your docker stack again.