Redis Distributed Lock Control Workflow
This workflow implements a Redis distributed locking mechanism to ensure that only one instance is executed at any given time, effectively preventing data conflicts caused by duplicate and concurrent operations. It supports automatic identification of duplicate requests and skips execution, ensuring the uniqueness and order of tasks. This is suitable for automated scenarios in multi-user or multi-system environments, such as order processing and data synchronization. Additionally, the workflow promptly releases the lock upon completion, ensuring effective resource management.
Tags
Workflow Name
Redis Distributed Lock Control Workflow
Key Features and Highlights
This workflow implements a distributed locking mechanism using Redis to ensure that only one instance of the workflow is executed at any given time, preventing data conflicts and resource wastage caused by duplicate or concurrent executions. It supports automatic detection of duplicate requests and skips redundant executions. Additionally, the lock is promptly released upon workflow completion to ensure effective lock resource management.
Core Problems Addressed
- Preventing duplicate workflow executions caused by concurrent requests
- Avoiding data races and inconsistent states
- Implementing a distributed lock mechanism to guarantee orderly execution in distributed environments
Application Scenarios
- Avoiding duplicate operations when multiple users or systems trigger the same automation process simultaneously
- Business scenarios requiring guaranteed task execution order and uniqueness, such as order processing, data synchronization, and approval workflows
- Coordinating resource access in distributed systems to prevent resource contention and conflicts
Main Workflow Steps
- Receive external Webhook requests and parse the request data
- Generate a unique lock identifier from the request data
- Query Redis to check if the lock is already held
- If the lock is free, attempt to set the Redis lock with an expiration time
- Branch execution to different workflows (Workflow 1, 2, 3) based on the lock status
- If a duplicate request is detected, skip subsequent execution
- Upon workflow completion, delete the Redis lock to release the lock resource
Involved Systems or Services
- Redis: Used for distributed lock storage and management
- Webhook: Used to receive external trigger requests and data
- n8n Workflow Nodes: Including code nodes, conditional nodes, wait nodes, switch nodes, etc., to build the process control logic
Target Users and Value
- Automation engineers and developers who need to ensure mutual exclusion in automated workflows
- Teams in enterprise applications requiring distributed locks to maintain data consistency and process order
- Business users aiming to implement complex locking logic through low-code tools
- Scenarios with high demands for preventing duplicate requests and ensuring workflow security
This workflow provides a concise and efficient locking mechanism that guarantees the stability and data security of automated processes, offering a reliable solution for automation in multi-trigger source environments.
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