Method for greatly improving performance of workflow engine

Abstract

The invention relates to a method for greatly improving the performance of a workflow engine, which pertains to the filed of middleware technical framework, in particular to the field of the technical framework of the workflow engine. The method improves the performance of the workflow engine from the technical framework of the workflow engine and comprises the steps of server-side caching, client-side caching and the like; the method adopts aching technologies, object pool technologies and an asynchronous call way to reduce system expense, greatly improve the performance of the workflow engine, reduce the fund input of the whole business flow system, support the business flow system with the same data volume and highly concurrent access, achieve the same performance effect and reduce cluster nodes of certain number or lower the hardware configuration of cluster nodes when clustering is executed.

Description

technical field [0001] The invention relates to a method for greatly improving the performance of a workflow engine, which belongs to the field of middleware technical architecture, in particular to the technical architecture field of workflow engine. Background technique [0002] In recent years, with the continuous development of informatization construction, the application of workflow has become more and more popular, and the management of various business process systems has become more clear and flexible; at the same time, the requirements of business process systems for workflow have become higher and higher. The application level can no longer meet the needs of the business process system, and the business process system has increasingly strong demands on advanced application levels such as real-time monitoring and analysis of business activities and statistical analysis of process data. [0003] Real-time monitoring and analysis of business activities requires real-...

AI Technical Summary

Problems solved by technology

[0010] Current workflow products, whether they are functions at the basic application level, such as: to-do task query, handed task query, recoverable task query, specified condition query, etc., or advanced application level functions, such as: real-time monitoring of business activities Analysis, statistical analysis of process data, etc. all require frequent access to the workflow engine, and at the same time, the engine needs to frequently execute a large number of data queries. These functions at various levels will inevitably bring huge pressure to the workflow engine; especially when it comes to manual Participating processes and processing tasks must first query the business that needs to be processed, and then perform corresponding business processing. In this way, the business process system calls the workflow engine and the internal calls of the workflow engine very frequently, which directly leads to the entire workflow engine. The support capability of the business process system is very limited; if the workflow engine handles some real-time monitoring and statistical analysis of large amounts of data, it will further affect the support capability of the workflow engine to the business process system

If you still only linger on establishing a suitable database index, upgrading hardware, optimizing logic and cluster technology, it will inevitably greatly increase the capital investment of the entire business process system

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