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update worker docker
29 lines
1.5 KiB
Markdown
29 lines
1.5 KiB
Markdown
# Flowise Worker
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By utilizing worker instances when operating in queue mode, Flowise can be scaled horizontally by adding more workers to handle increased workloads or scaled down by removing workers when demand decreases.
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Here’s an overview of the process:
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1. The primary Flowise instance sends an execution ID to a message broker, Redis, which maintains a queue of pending executions, allowing the next available worker to process them.
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2. A worker from the pool retrieves a message from Redis.
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The worker starts execute the actual job.
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3. Once the execution is completed, the worker alerts the main instance that the execution is finished.
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# How to use
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## Setting up Main Server:
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1. Follow [setup guide](https://github.com/FlowiseAI/Flowise/blob/main/docker/README.md)
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2. In the `.env.example`, setup all the necessary env variables for `QUEUE CONFIGURATION`
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## Setting up Worker:
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1. Navigate to `docker/worker` folder
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2. In the `.env.example`, setup all the necessary env variables for `QUEUE CONFIGURATION`. Env variables for worker must match the one for main server. Change the `WORKER_PORT` to other available port numbers to listen for healthcheck. Ex: 5566
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3. `docker compose up -d`
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4. You can bring the worker container down by `docker compose stop`
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## Entrypoint:
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Different from main server image which is using `flowise start`, entrypoint for worker is `pnpm run start-worker`. This is because the worker's [Dockerfile](./Dockerfile) build the image from source files via `pnpm build` instead of npm registry via `RUN npm install -g flowise`.
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