Distributed database cluster access method and intermediate service layer

Abstract

The embodiment of the invention provides a distributed database cluster access method and an intermediate service layer. The method comprises the following steps: locally searching according to the cluster identifier of each target distributed database cluster to obtain a connecting thread corresponding to each target distributed database cluster, wherein each connecting thread is created based oneach configuration file for kerberos security authentication, each configuration file is acquired based on a local combined authentication file, and the combined authentication file is used for storing a one-to-one correspondence relationship between each cluster identifier and authentication configuration information; and realizing access of the target user to each target distributed database cluster based on the connection thread. According to the application, a user can access a plurality of distributed database clusters at the same time, so the cross-cluster access effectiveness and reliability of the user for the plurality of distributed database clusters at the same time can be improved while the cross-cluster access safety and timeliness of the user for the distributed database clusters are effectively improved.

Description

technical field [0001] The application relates to the technical field of data processing, in particular to a distributed database cluster access method and an intermediate service layer. Background technique [0002] With the rapid development of information technology, structured and semi-structured data, including text, images, and videos, has achieved exponential growth. Traditional databases are difficult to store and analyze the content of these data, so the industry generally uses big data technologies such as the Hadoop ecosystem for business processing. Distributed databases such as HBase, as an important part of ecosystems such as Hadoop, are mainly characterized by supporting real-time storage and query of massive data, and have the characteristics of high reliability, high performance, column-oriented and scalability, etc. It is widely used in industries such as commerce and the Internet of Things. [0003] As more and more enterprises or users use distributed d...

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Problems solved by technology

[0003] As more and more enterprises or users use distributed databases, there is an obvious problem within each enterprise: each sub-department or application has its own application server, and these application servers are relatively independent. In the cluster scenario, different cluster user data cannot be shared, and there is a defect that data cannot be shared between independent systems

However, as the amount of business data further increases, more and more data will be copied. This method significantly increases operating costs and causes data redundancy; at the same time, when the cluster cannot communicate, it also needs to be considered The problem of cluster mutual trust also makes cross-cluster data copying have certain limitations, which greatly increases the difficulty and timeliness of data sharing

Another is to perform security verification on cluster users. However, during the authentication process, the authentication files of multiple clusters need to be loaded sequentially, which will cause clusters to overwrite each other's configuration files. The connection to the cluster will be invalid, so it cannot meet the needs of cluster users to access multiple clusters at the same time, reducing the effectiveness of distributed database clusters

That is to say, no matter which access method of the above-mentioned prior art, it is impossible to simultaneously satisfy the security, timeliness and effectiveness of users' cross-cluster access to distributed database clusters

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