System for realizing process query processing by combining service data in cloud process platform, and method thereof

Abstract

The invention relates to a system for realizing process query processing by combining service data in a cloud process platform. The system comprises a service data definition module for defining an independent service data table for each process; a service data storage change management module used for creating a service database table and automatically synchronizing the process context data to the service database table; and a service data query module used for performing service query according to the provided query grammar based on the XML structure. The invention also relates to a processquery processing method for realizing the combination of the service data in the cloud process platform. Through using the system and the method for realizing the process query processing by combiningthe service data in the cloud process platform, a mode of conveniently and efficiently combining a service data query process and a task is realized, the complexity of combining service query development is reduced, the difference of query SQL between different databases is shielded, and the consistency of process service applications is improved. In addition, the requirement for supporting massdata process query of large and medium-sized enterprises is met.

Description

technical field [0001] The present invention relates to the field of business process management, in particular to the field of business query process, and specifically refers to a system and method for realizing process query processing in combination with business data in a cloud process platform. Background technique [0002] With the development of informatization, more and more companies adopt the workflow method to realize the automation, intelligence and integration of the work process. Workflow refers to the "automation of part or the whole of a business process in a computer application environment". Pass documents, information, or tasks. [0003] The cloud process platform provides large-scale and massive process support capabilities by deploying the process platform in the cloud. In the cloud process platform, there are two deployment modes for the process platform and business applications: 1) Embedded deployment mode, which means that the process platform and ...

AI Technical Summary

Problems solved by technology

[0023] Deficiency 1: The business table needs to be associated with the process instance ID, resulting in a strong coupling between the business table and the process table, which reduces the portability of the system;

[0024] Disadvantage 2: The development is complex, and developers need to know a lot of business application information. When performing query combined with business applications, they need to select the business fields to be used from a large number of irrelevant business fields, and need to understand the SQL syntax of different databases;

[0025] Disadvantage 3: Business applications and process platforms are deployed in the same process, and both use the same data source, which is likely to cause database bottlenecks. It is suitable for application scenarios with small business visits, and cannot meet the massive business process query scenarios of large and medium-sized enterprises.

[0027] Deficiency 1: The business table needs to be associated with the process instance ID, resulting in a strong coupling between the business table and the process table, which reduces the portability of the system;

[0028] Disadvantage 2: The development is complex, and developers need to know a lot of business application information. When performing query combined with business applications, they need to select the business fields to be used from a large number of irrelevant business fields, and need to understand the SQL syntax of different databases;

[0029] Insufficiency 3: The business application and process platform use two data sources, requiring multiple queries, which reduces query efficiency;

[0030] Disadvantage 4: Due to the use of XA data source and strong consistency transaction scheme, the performance of data storage will be slow, which cannot meet the massive business scenarios of large enterprises

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