mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-23 13:00:29 +03:00
Henry Heng
a2a475ba7a
* add bullmq redis for message queue processing * Update pnpm-lock.yaml * update queue manager * remove singleton patterns, add redis to cache pool * add bull board ui * update rate limit handler * update redis configuration * Merge add rate limit redis prefix * update rate limit queue events * update preview loader to queue * refractor namings to constants * update env variable for queue * update worker shutdown gracefully
25 lines
1.1 KiB
Markdown
25 lines
1.1 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. Copy paste the same `.env` file used to setup main server. Change the `PORT` to other available port numbers. Ex: 5566
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2. `docker compose up -d`
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3. Open [http://localhost:5566](http://localhost:5566)
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4. You can bring the worker container down by `docker compose stop`
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