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Documentation
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@ -104,3 +104,54 @@ If your data directory is not `/opt/trains`, then in the five `docker run` comma
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* API server on port `8008`
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* Web server on port `8080`
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* File server on port `8081`
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## Manually Upgrading TRAINS-server Containers <a name="upgrade"></a>
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We are constantly updating, improving and adding to the **trains-server**.
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New releases will include new pre-built Docker images.
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When we release a new version and include a new pre-built Docker image for it, upgrade as follows:
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1. Shut down and remove each of your Docker instances using the following commands:
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```bash
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$ sudo docker stop <docker-name>
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$ sudo docker rm -v <docker-name>
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```
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The Docker names are (see [Launching Docker Containers](#launch-docker)):
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* `trains-elastic`
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* `trains-mongo`
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* `trains-redis`
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* `trains-fileserver`
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* `trains-apiserver`
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* `trains-webserver`
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2. We highly recommend backing up your data directory!. A simple way to do that is using `tar`:
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For example, if your data directory is `/opt/trains`, use the following command:
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```bash
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$ sudo tar czvf ~/trains_backup.tgz /opt/trains/data
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```
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This backups all data to an archive in your home directory.
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To restore this example backup, use the following command:
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```bash
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$ sudo rm -R /opt/trains/data
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$ sudo tar -xzf ~/trains_backup.tgz -C /opt/trains/data
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```
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3. Pull the new **trains-server** docker image using the following command:
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```bash
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$ sudo docker pull allegroai/trains:latest
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```
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If you wish to pull a different version, replace `latest` with the required version number, for example:
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```bash
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$ sudo docker pull allegroai/trains:0.11.0
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```
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4. Launch the newly released Docker image (see [Launching Docker Containers](#launch-docker)).
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