How to ensure the uniqueness of outbound script tasks under high concurrency and monitor their operating status in real time?

How to ensure the uniqueness of outbound script tasks and monitor their operating status in real time in a high concurrency environment? This article proposes a solution to ensure that the task only runs one instance and monitors its status in real time when multiple users and servers run the same out-of-repository script task at the same time in a cluster environment.

Background: The outbound task is triggered by the user and runs continuously; the system consists of two back-end servers, and state management is used by Redis. The original solution uses Redis key-value pairs to control the task status. After a thread interruption, the parameters need to be reset manually before restarting, and there is a lack of real-time monitoring.

Improvement solution: Use Redisson distributed locking mechanism to ensure task uniqueness. Redisson distributed locks can effectively prevent multiple nodes in a cluster environment from performing the same task at the same time. Its automatic renewal mechanism ensures that the lock will not be released immediately after the service crashes, and avoids repeated tasks. A lock exists to indicate the task is running, and a lock does not exist to indicate the task is stopped.

Implementation: Try to acquire Redisson distributed lock when each backend service starts. Only the service that has obtained the lock can start the outbound script. The acquisition and release of locks ensure that at most one instance in the cluster runs the script at the same time.

Status monitoring: Users can directly query whether the Redisson distributed lock exists in Redis to determine the running status of the script. If the lock exists, the task is running, and if the lock does not exist, the task is stopped. There is a short delay in lock release after a service crash, which can be shortened by adjusting the expiration time of the lock.

Advantages: This solution ensures the uniqueness of script tasks in a cluster environment and provides convenient operating status monitoring. Automatically try to acquire the lock when the service starts, which realizes automatic startup of script tasks, effectively solving the shortcomings of the original solution. The entire process is simple, reliable, efficient and stable.

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