Data query method and data query system

Abstract

The invention provides a data query method and a data query system. The data query system comprises a Client module and multiple Agent modules, wherein each Agent module in the Agent modules corresponds to a data storage cluster. The method comprises the steps that the Client module obtains a serialized query instruction set, wherein the serialized query instruction set comprises at least two query instructions; the first Agent module queries data in a database of the first data storage cluster according to the serialized query instruction set to obtain a first query result; and the first Agent module returns the first query result to the Client module. According to the data query method, the transmission of invalid data in a system can be reduced; the bandwidth utilization rate among thedata storage clusters is increased; the frequency of interaction between the Client module and the data storage clusters can be reduced; and the query response speed can be increased.

Description

technical field [0001] The present application relates to the computing field, and more specifically, relates to a data query method and a data query system. Background technique [0002] Large enterprises or large organizations usually deploy multiple data centers (DataCenter, DC) in different geographical locations. For example, Hbase is a common distributed data storage cluster in big data scenarios, and different clusters will be deployed in multiple geographically dispersed data centers. Different clusters of Hbase usually store different data, and the data is stored in a key-value (key-value) manner. [0003] When users use Hbase, it usually involves querying data in databases in multiple data centers. Currently, when users communicate with Hbase, they mainly rely on HbaseClient. One HbaseClient can only connect to one Hbase cluster at a time. If users need to access the data of multiple clusters, they can only use HbaseClient to communicate with one or more specif...

AI Technical Summary

Problems solved by technology

[0005] In this process, when Hbase cross-datacenters performs association queries between multiple tables for users, it will cause a large amount of invalid data transmission, which increases the load on the devices in the cluster, and HbaseClient needs to interact with different clusters of Hbase multiple times In order to get the final query results, resulting in slow query response

Images