Deploy Hugegraph server with docker

Note:
The docker image of hugegraph is a convenience release, not official distribution artifacts from ASF. You can find more details from ASF Release Distribution Policy.
Recommend to use release tag (like 1.3.0/1.5.0) for the stable version. Use latest tag to experience the newest functions in development.

1. Deploy

We can use docker to quickly start an inner HugeGraph server with RocksDB in the background.

Using docker run
Use docker run -itd --name=graph -p 8080:8080 hugegraph/hugegraph:1.3.0 to start hugegraph server.
Using docker compose
Certainly we can only deploy server without other instance. Additionally, if we want to manage other HugeGraph-related instances with server in a single file, we can deploy HugeGraph-related instances via docker-compose up -d. The docker-compose.yaml is as below:
```
version: '3'
services:
  graph:
    image: hugegraph/hugegraph:1.3.0
    ports:
      - 8080:8080
```

2. Create Sample Graph on Server Startup

If you want to preload some (test) data or graphs in container(by default), you can set the env PRELOAD=ture

If you want to customize the preloaded data, please mount the groovy scripts (not necessary).

Using docker run
Use docker run -itd --name=graph -p 8080:8080 -e PRELOAD=true -v /path/to/script:/hugegraph-server/scripts/example.groovy hugegraph/hugegraph:1.3.0 to start hugegraph server.

Using docker compose

We can also use docker-compose up -d to quickly start. The docker-compose.yaml is below. example.groovy is a pre-defined script. If needed, we can mount a new example.groovy to preload different data:

version: '3'
services:
  graph:
    image: hugegraph/hugegraph:1.3.0
    environment:
      - PRELOAD=true
    volumes:
      - /path/to/script:/hugegraph-server/scripts/example.groovy
    ports:
      - 8080:8080

Using start-hugegraph.sh
If you deploy HugeGraph server without docker, you can also pass arguments using -p, like this: bin/start-hugegraph.sh -p true.

3. Enable Authentication

Using docker run
Use docker run -itd --name=graph -p 8080:8080 -e AUTH=true -e PASSWORD=123456 hugegraph/hugegraph:1.3.0 to enable the authentication and set the password with -e AUTH=true -e PASSWORD=123456.

Using docker compose

Similarly, we can set the environment variables in the docker-compose.yaml:

version: '3'
services:
  server:
    image: hugegraph/hugegraph:1.3.0
    container_name: graph
    ports:
      - 8080:8080
    environment:
      - AUTH=true
      - PASSWORD=123456

4. Running Open-Telemetry-Collector

CAUTION:
The docker-compose-trace.yaml utilizes Grafana and Grafana-Tempo, both of them are licensed under AGPL-3.0, you should be aware of and use them with caution. Currently, we mainly provide this template for everyone to test

Start Open-Telemetry-Collector

cd hugegraph-server/hugegraph-dist/docker/example
docker-compose -f docker-compose-trace.yaml -p hugegraph-trace up -d

Active Open-Telemetry-Agent
```
./start-hugegraph.sh -y true
```

Stop Open-Telemetry-Collector

cd hugegraph-server/hugegraph-dist/docker/example
docker-compose -f docker-compose-trace.yaml -p hugegraph-trace stop

References
- What is OpenTelemetry
- Tempo in Grafana