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Oracle Functions Runtime Options
Configuration
When starting Oracle Functions, you can pass in the following configuration variables as environment variables. Use -e VAR_NAME=VALUE in
docker run. For example:
docker run -e VAR_NAME=VALUE ...
| Env Variables | Description | Default values |
|---|---|---|
| DB_URL | The database URL to use in URL format. See Databases for more information. | bolt:///app/data/bolt.db |
| MQ_URL | The message queue to use in URL format. See Message Queues for more information. | bolt:///app/data/worker_mq.db |
| API_URL | The primary Oracle Functions API URL to that this instance will talk to. In a production environment, this would be your load balancer URL. | N/A |
| PORT | Sets the port to run on | 8080 |
| LOG_LEVEL | Set to DEBUG to enable debugging | INFO |
| DOCKER_HOST | Docker remote API URL | /var/run/docker.sock:/var/run/docker.sock |
| DOCKER_API_VERSION | Docker remote API version | 1.24 |
| DOCKER_TLS_VERIFY | Set this option to enable/disable Docker remote API over TLS/SSL. | 0 |
| DOCKER_CERT_PATH | Set this option to specify where CA cert placeholder | ~/.docker/cert.pem |
Starting without Docker in Docker
The default way to run Oracle Functions, as it is in the Quickstart guide, is to use docker-in-docker (dind). There are a couple reasons why we did it this way:
- It's clean. Once the container exits, there is nothing left behind including all the function images.
- You can set resource restrictions for the entire Oracle Functions instance. For instance, you can set
--memoryon the docker run command to set the max memory for the Oracle Functions instance AND all of the functions it's running.
There are some reasons you may not want to use dind, such as using the image cache during testing or you're running Windows.
Mount the Host Docker
One way is to mount the host Docker. Everything is essentially the same except you add a -v flag:
docker run --rm --name functions -it -v /var/run/docker.sock:/var/run/docker.sock -v $PWD/data:/app/data -p 8080:8080 treeder/functions
Run outside Docker
You can of course just run the binary directly, you'll just have to change how you set the environment variables above.
See contributing doc for information on how to build and run.