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Docker task host for linux.
Each task is evaluated in an isolated docker container. Docker has a bunch of awesome utilities for making this work well... Since the images are COW running any number of task hosts is plausible and we can manage their overall usage.
We manipulate the docker hosts through the use of the docker remote api
See the doc site
for how to use the worker from an existing worker-type the docs here
are for hacking on the worker itself.
- Node 0.11x or greater
- Docker
- Packer (to build ami)
# from the root of this repo) also see --help
node --harmony bin/worker.js <config>
The defaults contains all configuration options for the docker worker in particular these are important:
-
taskclusterthe credentials needed to authenticate all pull jobs from taskcluster. -
pulsethe credentials for listening to pulse exchanges. -
registriesregistry credentials -
statsdcredentials for the statsd server.
- /bin - primary entrypoint for worker
- /deploy - code related to pakcer and deployment
- /config - configuration profiles for worker
- /lib - source of internal worker apis
- /lib/task_listener.js - primary entrypoint of worker
- /lib/task.js - handler for individual tasks
- /lib/features/ - individual features for worker
The ./test/test.sh script is used to run individual tests which are
suffixed with _test.js for example: ./test/test.sh test/integration/live_log_test.js.
# from the top level
./build.sh
npm testThis will build the docker image for the tasks and run the entire suite.
- Time synchronization : if you're running docker in a VM your VM may drift in time... This often results in stale warnings on the queue.
The below is a detailed guide to how deployment works if you know what you're doing and just need a check list see: deployment check list
- packer
- make
- node 0.11 or greater
- credentials for required services
The docker worker deploy script is essentially a wrapper around packer
with an interactive configuration script to ensure you're not missing
particular environment variables. There are two primary workflows that
are important.
-
Building the base AMI. Do this when:
-
You need to add new apt packages.
-
You need to update docker (see above).
-
You need to run some expensive one-off installation.
Note that you need to manually update the
sourceAMIfield in theapp.jsonfile after you create a new base AMI.Example:
./deploy/bin/build base
-
-
Building the app AMI. Do this when:
-
You want to deploy new code/features.
-
You need to update diamond/statsd/configs (not packages).
-
You need to update any baked in credentials (these usually can be overriden in the provisioner but sometimes this is desirable).
Note: That just because you deploy an AMI does not mean anyone is using it.. Usually you need to also update a provisioner workerType with the new AMI id.
Example:
./deploy/bin/build app
-
Everything related to the deployment of the worker is in the deploy folder which has a number of other important sub folders.
-
deploy/packer : The packer folder contains a list (app/base) of ami(s) which need to be created... Typically you only need to build the "app" ami which is built on a pre-existing base ami (see
sourceAMIin app.json). -
deploy/variables.js : contains the list of variables for the deployment and possible defaults
-
deploy/template : This folder is a mirror of what will be deployed on the server but with mustache like variables (see variables.js for the list of all possible variables) if you need to add a script/config/etc... Add it here in one of the sub folders.
-
deploy/deploy.json : A generated file (created by running deploy/bin/build ) or running
make -C deploythis file contains all the variables needed to deploy the application -
deploy/target : Contains the final files to be uploaded when creating the AMI all template values have been subsituted... It is useful to check this by running
make -C deployprior to building the full ami. -
deploy/bin/build : The script responsible for invoking packer with the correct arguments and creating the artifacts which need to be uploaded to the AMI)
The AMI built with packer will mount all available instances storage under
/mnt and use this for storing docker images and containers. In order for this
to work you must specify a block device mapping that maps ephemeral[0-9] to
/dev/sd[b-z].
It should be noted that they'll appear in the virtual machine as
/dev/xvd[b-z], as this is how Xen storage devices are named under newer
kernels. However, the format and mount script will mount them all as a single
partition on /mnt using LVM.
An example block device mapping looks as follows:
{
"BlockDeviceMappings": [
{
"DeviceName": "/dev/sdb",
"VirtualName": "ephemeral0"
},
{
"DeviceName": "/dev/sdc",
"VirtualName": "ephemeral1"
}
]
}Schema changes are not deployed automatically so if the schema has been changed, the run the upload-schema.js script to update.
Before running the upload schema script, ensure that AWS credentials are loaded into your environment. See Configuring AWS with Node
Run the upload-schema.js script to update the schema:
node --harmony bin/upload-schema.js