Data access component and data access method

Abstract

The invention discloses a data access component. The data access component comprises a data access interface, a model mapping component, model adapters and a query and command arrangement component, the model mapping component is used for connecting the data access interface and each model adapter; the model adapters are used for directly operating the databases connected with the model adapters, and the model adapters are in one-to-one correspondence with the various databases; and the query and command arrangement component is used for analyzing the query statements and automatically routing the query statements to the database with the highest efficiency for query operation. According to the data access component, multi-element storage and multi-element access of data can be guaranteed, and certain access performance can be guaranteed through automatic routing.

Description

Technical field[0001]The present invention belongs to the DAO data access technology, and in particular to a data access component, further involves a data access method of a data access component.Background technique[0002]In the software system, there may be a variety of data query requirements, such as the pursuit of high-performance queries, structural data queries, non-structured data queries, fuzzy queries, etc., and ensure certain query performance. But the current industry has data access components, there is the following questions:[0003]1) In the traditional data system, the same data is often stored in the same medium, and the IO operation is for the same storage medium, which is easy to cause IO performance bottlenecks and deadlocks; some other systems use data copy distribution storage means, actual operation There are often means of maintaining data consistency or unreliable data replication;[0004]2) Traditional data access components require different data access metho...

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Problems solved by technology

[0003] 1) In a traditional data system, the same data is often stored in the same medium, and the IO operations are aimed at the same storage medium, which may easily cause IO performance bottlenecks and deadlocks; in addition, some systems use the method of data replication and distributed storage. However, there is often a lack of means to maintain data consistency or unreliable data replication procedures;

[0004] 2) Traditional data access components need to use different data access methods for different storage media. Even some data frameworks that use ORM technology are difficult to use a unified model to access data in different storage media. Especially for the "relationship" in the logical model, there has been no unified description;

[0005] 3) On the issue of improving query performance, a layer of memory database is usually added as a cache between the application and the database, which is relatively cumbersome; when developing, it is necessary to take into account the addition, deletion, modification, and data consistency of the cache library and database data. relatively heavy workload

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