PHP method to achieve database load balancing and shrinkage

With the development of the Internet and the continuous expansion of application scenarios, the database is one of the most important components of the application, and its criticality and availability have increasingly become an important issue in application operation and maintenance. In order to ensure the high availability of the database in response to peak user access, many enterprises and organizations adopt database load balancing for deployment, operation and maintenance. However, when the number and load conditions of database load balancing servers change, how to ensure the high availability of the database and how to achieve load balancing shrinkage have become one of the issues that operation and maintenance personnel need to think about and solve.

This article will introduce how to use PHP to achieve database load balancing shrinkage to ensure high availability of the database.

1. The shrinkage principle of load balancing

In the scenario of load balancing, the essence of shrinkage is to delete some nodes from a cluster to reduce the load of the cluster. load pressure to ensure the stability and availability of other nodes. Therefore, during the load balancing reduction process, two aspects need to be considered:

1.1 How to select the nodes that need to be deleted

When deleting nodes, the node load needs to be fully considered The size and contribution value of the node. Usually, the nodes with smaller load and the smallest contribution to the entire cluster are deleted first to ensure the normal operation of the remaining nodes.

1.2 How to replace the node

After deleting the node, in order to ensure the normal operation of the load balancing cluster, the deleted node needs to be replaced. One possible way is to evenly distribute the load of the deleted node with all remaining nodes to achieve load balancing.

2. Achieving Load Balanced Scale Down

In the process of using PHP to achieve Load Balanced Scale Down, you can use the following process:

2.1 Traverse the cluster The load status of all nodes in the cluster

By accessing the node status information saved in the database, the load status of all nodes in the cluster is obtained, and sorted according to the node load size to determine the nodes that need to be deleted.

2.2 Select the node to be deleted

Select the node to be deleted based on the node load size and contribution value. Once determined, delete it from the node list in the database. After deleting a node, update the node list and load information of all actively connected nodes in the cluster.

2.3 Calculate the replacement load of nodes

Based on the number of remaining nodes and their load status, calculate the average load value of the nodes that need to be deleted, and update the load balancing information in the database.

2.4 Replace nodes

Compare the average load value with the remaining node load, and update the load of all remaining nodes one by one to the allocated load value. Once completed, automatically redirect to the load balancer for new request processing.

3. Conclusion

By using PHP code to implement the load balancing shrinking function, we can achieve high efficiency in database load balancing in the actual operation and maintenance scenarios of enterprises and organizations. Availability and stability guaranteed. At the same time, through continuous optimization and improvement, more intelligent and efficient scaling strategies can be achieved to meet the needs of a wider range of application scenarios.

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