Multi-tenant expanding method based on Key-Value database

Abstract

An embodiment of the invention relates to a multi-tenant expanding method based on Key-Value database. The method includes acquiring initial business entity metadata; a customizing phase, an instance generating phase and an instance operating phase, wherein the customizing phase is expanding business attributes based on the initial business entity metadata, and defining business entities and displaying labels of the business attributes to generate specific business entity metadata meeting multi-tenant requirements; the instance generating phase is establishing a Key-Value database according to the specific business entity metadata; the instance operating phase is inserting tenant identifications as RowKey prefixes to the business entity data of Key-Value database, generating a query scope of RowKey to query business entity data through the tenant identifications, extracting the business entity data from the Key-Value database in the query scope and generating an interactive interface according to the specific business entity metadata, so as to display the business entity data.

Description

technical field [0001] The invention relates to the computer field, in particular to a multi-tenant extension method based on a key-value database. Background technique [0002] The rapid development of Internet technology has made traditional databases face huge challenges in dealing with massive data. Distributed key-value Key-Value databases have emerged as the times require. Key-Value databases include open source non-relational distributed database HBase, non-relational database Cassandra , Non-relational databases, SQL, etc. Compared with the traditional relational database, the distributed architecture of the Key-Value database can store a large amount of data, and a table can have hundreds of millions of rows; column-oriented storage, column (family)-oriented storage and permission control, column (family) independent retrieval; Sparse storage, for empty columns, no storage space is occupied, and the table can be designed very sparsely. [0003] Multi-tenant techno...

AI Technical Summary

Problems solved by technology

When using a traditional relational database, when a tenant needs to add a custom field, it needs to add a column in the database. For a tenant, the columns added by other tenants are useless columns for the tenant, but they still need to exist in the database, but When the number of tenants is large, a large number of columns need to be added to the database, which leads to a large number of null values ​​in the database, which is a waste of space

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