Prevent concurrent workflow runs using Redis
What does this template do?
This workflow sets a small "lock" value in Redis so that only one copy of a long job can run at the same time. If another trigger fires while the job is still busy, the workflow sees the lock, stops early, and throws a clear error. This protects your data and keeps you from hitting rate limits.
Because the workflow also stores simple progress flags ("working", "loading", "finishing"), you can poll the current status and show live progress for very long jobs.
Use Case
Great when the same workflow can be called many times in parallel (for example by webhooks, cron jobs, or nested Execute Workflow calls) and you need an "only run once at a time" guarantee without building a full queue system.
What the Workflow Does
- ⚡ Starts through Execute Workflow Trigger called by another workflow
- 🔄 A Switch sends the run to Get, Set, or Unset actions
- 💾 Redis reads or writes a key named
process_status_<key>with a time‑to‑live (default 600 s) - 🚦 If nodes check the key and decide to continue or stop
- ⏱️ Wait nodes stand in for the slow part of your job (replace these with your real work)
- 📈 Updates the key with human‑readable progress values that another workflow can fetch with
action = get - 🏁 When done, the lock is removed so the next run can start
Apps & Services Used
- Redis
- Core n8n nodes (Switch, If, Set, Wait, Stop and Error)
Pre‑requisites
- A Redis server that n8n can reach
- Redis credentials stored in n8n
- A second workflow that calls this one and sends:
actionset toget,set, orunsetkeyset to a unique name for the job- Optional
timeoutin seconds
Customization Tips
- Increase or decrease the TTL in the Set Timeout node to match how long your job usually runs
- Add or rename status values ("working", "loading", "finishing", and so on) to show finer progress
- Replace Stop and Error with a Slack or email alert, or even push the extra trigger into a queue if you prefer waiting instead of failing
- Use different Redis keys if you need separate locks for different tasks
- Build a small "status endpoint" workflow that calls this one with
action = getto display real‑time progress to users
Additional Use Cases
🛑 Telegram callback spam filter
If a Telegram bot sends many identical callbacks in a burst, call this workflow first to place a lock. Only the first callback will proceed; the rest will exit cleanly until the lock clears. This keeps your bot from flooding downstream APIs.
🧩 External API rate‑limit protection
Run heavy API syncs one after the other so parallel calls do not break vendor rate limits.
🔔 Maintenance window lock
Block scheduled maintenance tasks from overlapping, making sure each window finishes before the next starts.
Prevent Concurrent Workflow Runs Using Redis
This n8n workflow demonstrates a robust method to prevent multiple instances of a workflow from running simultaneously, utilizing Redis as a locking mechanism. This is crucial for workflows that perform operations which should not be duplicated or interleaved, such as data synchronization, report generation, or resource provisioning.
What it does
This workflow acts as a wrapper or a sub-workflow that ensures only one execution of a critical process (represented by a "Child Workflow" in this example) can proceed at a time. It leverages Redis to manage a lock, preventing race conditions and ensuring data integrity.
- Trigger: The workflow can be initiated either manually or by another workflow.
- Set Workflow ID: It first prepares a unique workflow ID to be used as the lock key in Redis.
- Acquire Lock: It attempts to acquire a lock in Redis using the prepared ID.
- If the lock is successfully acquired, it proceeds to execute the "Child Workflow".
- If the lock is already held by another instance, it stops the current execution with an error, preventing concurrency.
- Execute Child Workflow: If the lock is obtained, it calls a "Child Workflow" (placeholder in this example) that contains the actual critical logic.
- Release Lock (On Success): After the "Child Workflow" completes successfully, the lock in Redis is released, allowing future executions to proceed.
- Release Lock (On Error): If any error occurs during the execution of the "Child Workflow", the lock is also released to prevent a permanent deadlock, and the workflow stops with an error.
- Wait for Lock Release (Optional): An optional "Wait" node is included to demonstrate a scenario where the workflow might wait for a short period before retrying to acquire the lock, though in this specific setup, it immediately errors out if the lock is not available.
Prerequisites/Requirements
- n8n Instance: A running n8n instance.
- Redis Server: Access to a Redis server.
- Redis Credential: A configured Redis credential in your n8n instance.
- Child Workflow: A separate n8n workflow that contains the critical logic you want to protect from concurrent runs. This workflow should be configured to be executable by another workflow.
Setup/Usage
- Import the Workflow: Import the provided JSON into your n8n instance.
- Configure Redis Credential:
- Ensure you have a Redis credential set up in n8n. The "Redis" node in the workflow will require this.
- Configure Workflow ID:
- The "Edit Fields" node (named "Set Workflow ID") sets the
workflowIdwhich is used as the Redis key for the lock. Customize this value to be unique for the critical workflow you are protecting.
- The "Edit Fields" node (named "Set Workflow ID") sets the
- Link Child Workflow:
- The "Execute Workflow" node (named "Execute Child Workflow") is a placeholder. You need to configure this node to call your actual critical workflow. Select the workflow you want to protect from concurrent runs.
- Activate the Workflow: Once configured, activate the workflow.
When this workflow is triggered, it will ensure that only one instance of your "Child Workflow" runs at any given time. If a second instance attempts to run while the first is active, it will be stopped with an error.
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