Management method, system and device for nodes in cluster

Abstract

The invention discloses a management method, system and device for nodes in a cluster. The method comprises the steps that the grouping condition of each node in a cluster is determined according to apreset cluster grouping deployment strategy when a deployment instruction representing a cluster grouping mode is received; a configuration file corresponding to each node in the cluster is configured according to the grouping condition of each node in the cluster; after the configuration files corresponding to all the nodes in the cluster are configured, all the nodes in the cluster are restarted, so that the cluster grouping mode takes effect; and in the cluster grouping mode, a target node is used for monitoring the node states of the rest nodes through message transmission with the rest nodes in the same group. Visibly, under a large-scale cluster, the nodes in the cluster can be deployed in a cluster grouping mode, and only the nodes in the same group need to be monitored by one another in the cluster, so that stable monitoring of states among the nodes is facilitated, and misjudgment is not easily caused; and moreover, the adoption of the cluster grouping mode is helpful for identifying a fault node in the cluster so as to avoid the influence of the fault node on the service.

Description

technical field [0001] The present invention relates to the field of cluster node management, in particular to a method, system and device for managing nodes in a cluster. Background technique [0002] Currently, a method for monitoring the status of nodes in the cluster is: each node in the cluster establishes a TCP (Transmission Control Protocol, Transmission Control Protocol) connection with all other nodes. For any node, it is judged whether the state of all other nodes is normal through message transmission with all other nodes. When the cluster scale is small, the message traffic between nodes is not large, but when the cluster scale is large, such as the number of nodes in the cluster reaches hundreds or even thousands, the message traffic between nodes will be very large, which is not conducive to the communication between nodes. Stable monitoring of the state is prone to misjudgment; moreover, in a large-scale cluster, it is difficult to identify faulty nodes in th...

AI Technical Summary

Problems solved by technology

When the cluster size is small, the message flow between nodes is not large, but when the cluster size is large, if the number of nodes in the cluster reaches hundreds or even thousands, the message flow between each node will be very large, which is not conducive to the communication between nodes. The stable monitoring of the state is easy to cause misjudgment; moreover, in a large-scale cluster, it is difficult to identify faulty nodes in the cluster. If it affects the business, the consequences will be serious

Images