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163 lines
5.8 KiB
Plaintext
163 lines
5.8 KiB
Plaintext
---
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title: Deploying LobeHub Database with Docker
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description: >-
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Learn how to deploy the LobeHub server database version using Docker on Linux
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and local machines.
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tags:
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- LobeHub
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- Docker
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- Database Deployment
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- Postgres
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---
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# Deploying Server Database Version Using Docker
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<div style={{display:"flex", gap: 4}}>
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[![][docker-release-shield]][docker-release-link]
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[![][docker-size-shield]][docker-size-link]
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[![][docker-pulls-shield]][docker-pulls-link]
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</div>
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<Callout type="info">
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This article assumes that you are familiar with the basic principles and processes of deploying
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the LobeHub server database version, so it only includes content related to core environment
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variable configuration. If you are not familiar with the deployment principles of the LobeHub
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server database version, please refer to [Deploying Server
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Database](/docs/self-hosting/server-database) first.
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</Callout>
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## Deploying on a Linux Server
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Here is the process for deploying the LobeHub server database version on a Linux server:
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<Steps>
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### Create a Postgres Database Instance
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Please create a Postgres database instance according to your needs, for example:
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```sh
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docker network create pg
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docker run --name my-postgres --network pg -e POSTGRES_PASSWORD=mysecretpassword -p 5432:5432 -d paradedb/paradedb:latest-pg17
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```
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The above command will create a PG instance named `my-postgres` on the network `pg`, where `paradedb/paradedb:latest-pg17` is a Postgres 17 image with pgvector and pg\_search plugins installed by default.
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<Callout type="info">
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The ParadeDB image includes pgvector (vector search) and pg\_search (full-text search) plugins, which are important
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components for LobeHub to implement RAG and knowledge base search.
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</Callout>
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<Callout type="warning">
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The above command does not specify a persistent storage location for the pg instance, so it is
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only for testing/demonstration purposes. Please configure persistent storage for production
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environments.
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</Callout>
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### Create a file named `lobe-chat.env` to store environment variables:
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Click the buttons below to generate required secrets:
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<GenerateSecret envName="KEY_VAULTS_SECRET" />
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<GenerateSecret envName="AUTH_SECRET" />
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Click the button below to generate `JWKS_KEY` (for signing and verifying JWTs):
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<GenerateJWKSKey />
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```shell
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# Website domain
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APP_URL=https://your-prod-domain.com
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# DB required environment variables
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KEY_VAULTS_SECRET=jgwsK28dspyVQoIf8/M3IIHl1h6LYYceSYNXeLpy6uk=
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# Postgres database connection string
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# Format: postgres://username:password@host:port/dbname; if your pg instance is a Docker container, use the container name
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DATABASE_URL=postgres://postgres:mysecretpassword@my-postgres:5432/postgres
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# Authentication (Better Auth)
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# Session encryption key (generate with: openssl rand -base64 32)
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AUTH_SECRET=jgwsK28dspyVQoIf8/M3IIHl1h6LYYceSYNXeLpy6uk=
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# JWKS key for signing and verifying JWTs
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JWKS_KEY='{"keys":[...]}'
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# S3 related
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S3_ACCESS_KEY_ID=xxxxxxxxxx
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S3_SECRET_ACCESS_KEY=xxxxxxxxxx
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S3_ENDPOINT=https://xxxxxxxxxx.r2.cloudflarestorage.com
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S3_BUCKET=LobeHub
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```
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### Start the lobehub Docker image
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```sh
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docker run -it -d -p 3210:3210 --network pg --env-file lobe-chat.env --name lobehub lobehub/lobehub
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```
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You can use the following command to check the logs:
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```sh
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docker logs -f lobehub
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```
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If you see the following logs in the container, it means it has started successfully:
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```log
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[Database] Start to migration...
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✅ database migration pass.
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-------------------------------------
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▲ Next.js 14.x.x
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- Local: http://localhost:3210
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- Network: http://0.0.0.0:3210
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✓ Starting...
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✓ Ready in 95ms
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```
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</Steps>
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<Callout type="tip">
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In our official Docker image, the database schema migration is automatically executed before
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starting the image. We ensure stability from an empty database to all tables being formally
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available. Therefore, we recommend using an empty table instance for your database to avoid the
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cost of manually maintaining table structure migration.
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</Callout>
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## Using Locally (Mac / Windows)
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The data version of LobeHub also supports direct use on a local Mac/Windows machine.
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Here, we assume that you have a pg instance available on port 5432 locally on your Mac/Windows, with the account `postgres` and password `mysecretpassword`, accessible at `localhost:5432`.
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The script command you need to execute is:
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```shell
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$ docker run -it -d --name lobehub -p 3210:3210 \
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-e DATABASE_URL=postgres://postgres:mysecretpassword@host.docker.internal:5432/postgres \
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-e KEY_VAULTS_SECRET=jgwsK28dspyVQoIf8/M3IIHl1h6LYYceSYNXeLpy6uk= \
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-e AUTH_SECRET=jgwsK28dspyVQoIf8/M3IIHl1h6LYYceSYNXeLpy6uk= \
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-e JWKS_KEY='{"keys":[...]}' \
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-e APP_URL=http://localhost:3210 \
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-e S3_ACCESS_KEY_ID=xxxxxxxxxx \
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-e S3_SECRET_ACCESS_KEY=xxxxxxxxxx \
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-e S3_ENDPOINT=https://xxxxxxxxxx.r2.cloudflarestorage.com \
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-e S3_BUCKET=LobeHub \
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lobehub/lobehub
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```
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<Callout type="tip">
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`Docker` uses a virtual machine solution on `Windows` and `macOS`. If you use `localhost` /
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`127.0.0.1`, it will refer to the container's `localhost`. In this case, try using
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`host.docker.internal` instead of `localhost`.
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</Callout>
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[docker-pulls-link]: https://hub.docker.com/r/lobehub/lobehub
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[docker-pulls-shield]: https://img.shields.io/docker/pulls/lobehub/lobehub?color=45cc11&labelColor=black&style=flat-square
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[docker-release-link]: https://hub.docker.com/r/lobehub/lobehub
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[docker-release-shield]: https://img.shields.io/docker/v/lobehub/lobehub?color=369eff&label=docker&labelColor=black&logo=docker&logoColor=white&style=flat-square&sort=semver
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[docker-size-link]: https://hub.docker.com/r/lobehub/lobehub
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[docker-size-shield]: https://img.shields.io/docker/image-size/lobehub/lobehub?color=369eff&labelColor=black&style=flat-square&sort=semver
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