Internet resource sharing method based on HBase

Abstract

The invention discloses an Internet resource sharing method based on the HBase. The method includes setting an HBase model of Internet resource sharing; performing table division on the model, namely dividing the model into four tables: a resource table, a resource sharing information table, a user transmission sharing table and a user receiving sharing table; implementing resource sharing through the Internet, namely, adding sharing records, deleting the sharing records, transmitting the shared records acquired by the user and receiving the shared records acquired by the user. Compared with the prior art, the method has the advantages that the mass Internet resource sharing problem is solved, the speed of a user acquiring the shared records is guaranteed, and the practicality is high.

Description

technical field [0001] The invention relates to the technical field of data sharing, in particular to a method for sharing Internet resources based on HBase with strong practicability. Background technique [0002] With the advent of web2.0, resources are increasing rapidly, and resource sharing can effectively improve the reusability of Internet resources. In real life, the amount of resources is massive and cannot be counted, especially Internet resources are more obvious. The same resource may be stored in hundreds of copies on the Internet, resulting in a considerable waste of space. Internet resource sharing fixed the issue. [0003] The sharing records of Internet resources are also massive. Assume that an enterprise has 30,000 employees, and each user temporarily has 10,000 Internet resources (as time goes by, the data will increase), assuming that there are If 5,000 records are shared, and each record is shared with 100 people, the total number of shared records fo...

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Problems solved by technology

[0003] The sharing records of Internet resources are also massive. Assume that an enterprise has 30,000 employees, and each user temporarily has 10,000 Internet resources (as time goes by, the data will increase), assuming that there are If 5,000 records are shared, and each record is shared with 100 people, then the total number of shared records for this enterprise is 30,000*5,000*100, which cannot be handled by using traditional relational databases.

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