Dual-machine big data application accessory management device and method under load operation state

Abstract

The invention discloses a dual-machine big data application accessory management device under a load operation state. The dual-machine big data application accessory management device performs data management and service switching on an on-duty host and an on-duty standby, and comprises a load balancing service system for realizing real-time monitoring of network, operating status, data transmission, and information access of a dual-machine big data applications in a cluster mode; and an accessory file big data application system for performing non-structural data extraction on a province-city-county power business system, and completing on-duty stand accessory synchronous change when on-duty host accessory data are changed. By setting up an unstructured data file big data application environment, and periodically acquiring accessory files of the service system, the normal operation of an accessory module of the dual-system big data application in the load running state is ensured.

Description

technical field [0001] The invention relates to the technical field of big data management, in particular to a device and method for managing attachments of two-machine big data applications in a load running state. Background technique [0002] On the basis of the planning of the integrated cloud platform of each enterprise, units at all levels carry out cloud integration and transformation of traditional business systems, establish system cloud platforms, distributed storage resource pools, etc., while improving resource utilization and business management efficiency. Full-scenario support for systems and new business systems. Due to the particularity of the power industry, security has always been the top priority in the process of informatization construction. In particular, the power file management business has high requirements for the uninterrupted operation of the system, and has almost zero tolerance for system downtime. The system's high-availability mechanism c...

AI Technical Summary

Problems solved by technology

This high complexity brings no small challenge to the successful deployment of the system

[0007] (2) Hidden dangers of system high availability mechanism defects

Due to the lack of an effective and automatic data synchronization bus for the attachment file module, the attachment files of the two on-duty application servers are often out of sync, requiring manual operations step by step based on experience, attachment physical paths, and file data operation manuals

Due to the difference in human capacity and operation delay, it is often impossible to guarantee the uninterrupted operation of the business carried by the dual-machine big data application service, causing certain hidden dangers to the business stability

[0009] (3) Low system deployment efficiency

[0010] According to the current manual deployment and business configuration methods, it often takes several days or even weeks to deploy the entire two-machine big data application service system, which is extremely inefficient

[0011] (4) Low degree of standardization

[0012] Due to the large number of components in the dual-machine big data application service system and the complex interdependence, traditional deployment basically relies on the experience of deployment engineers, with a low degree of standardization, and there is no complete standardized log record for the entire installation process, which hinders the normal operation and maintenance of the system after completion Hidden danger

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