Method of implementing asynchronous data storage based on files in cloud computing environment
A cloud computing environment and asynchronous data technology, applied in the direction of computing, file system, file access structure, etc., can solve the problems of large memory consumption, integrity cannot be guaranteed, system instability, etc., and the process of data storage is intuitive, The effect of simple and efficient storage work and high system operation efficiency
Inactive Publication Date: 2016-04-27
PRIMETON INFORMATION TECH
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Database sub-database sub-table is to store the data originally stored in one database in multiple databases, and store the data originally stored in one table in multiple tables. This method not only improves performance but also It brings difficulty in database maintenance and application development. At the same time, after the implementation of sub-database and sub-table, because the data is stored in different databases, database transaction management will also be more difficult.
If you rely on the distributed transaction management function of the database itself to execute the transaction, you will pay a high performance price; if the application is assisted in the control to form a logical transaction in the program, it will cause a programming burden
The data storage queue cache mode puts the data in the memory-based cache first, and then writes the data into the database through asynchronous writing. This mode can relieve the pressure on the database, but in the case of large data volume, it will The accumulation of cached data will cause relatively large memory consumption and bring instability to the system, and if the system needs to be restarted or the system is down due to some special reasons, the data in the cache will be lost, which will bring instability to the system. recoverable loss
[0004] Based on the current commonly used data storage schemes, in the case of a large amount of data based on the cloud computing environment, it brings relatively large challenges to database management and data integrity, and at the same time adds a lot to database operation and maintenance personnel and system developers. The workload caused a great waste of cost; if the integrity of the data is not guaranteed, the subsequent data analysis results may be far from the actual, which will affect the final decision-making
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[0082] In order to be able to describe the technical content of the present invention more clearly, further description will be given below in conjunction with specific embodiments.
[0083] The storage file format definition includes data storage file, data index file, data processing pointer file format definition and file naming method definition; the data to be stored is saved in the file according to certain requirements and formats, including automatic data file generation And automatically switch files after the set file size is exceeded; the asynchronous thread transfers the data in the data file to the relational database, processes the data by starting the asynchronous thread, and records the processed data at the same time.
[0084] Wherein, the operation of the storage file format definition includes the following steps:
[0085] (1) Define the parameter data of the data storage file, including file storage path, file size, number of files, and naming format;
[0086] (2) Def
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The present invention relates to a method for implementing asynchronous data storage based on files in a cloud computing environment, comprising the steps of defining file formats of storage data; saving the storage data into the files according to preset requirements and formats; and storing the data in the files into a relational database through an asynchronous thread. By adoption of the method for implementing asynchronous data storage based on files in the cloud computing environment, the data storage process is more visual, storage efficiency is improved, the method is quick and convenient, system operation efficiency is relatively high, performance is stable and reliable, and costs of development and maintenance are reduced; system portability and extendibility are enhanced, so that users can concentrate on business logical processing; and further, the method can also be quickly adapted to changes of business requirements and technical changes, and can be used for supporting and establishing a software system that is highly modular and highly integrated, the application range is wider, and solid foundation is provided for rapid and stable storage of data for enterprise application.
Description
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