Metadata query method and system

Abstract

The invention provides a metadata query method and system, and belongs to the technical field of cloud computing. The method comprises the following steps: when a cluster name in a metadata query request is matched with a local autonomous metadata cluster, obtaining a query result from the local autonomous metadata cluster according to metadata query information in the metadata query request; otherwise, determining a target metadata agent end in a pre-constructed metadata query network according to the cluster name; sending the metadata query request to a target metadata agent end, so that the target metadata agent end obtains a query result from a corresponding non-local autonomous metadata cluster according to the metadata query information; and receiving a query result returned by the target metadata agent side. According to the method and system, the multi-copy problem of the metadata is avoided on the basis of keeping the efficiency of autonomy of the metadata in the information system and fault isolation, and the technical difficulty and the management cost of strategic decision support of cross-information systems of large enterprises are simplified.

Description

technical field [0001] The present invention relates to the technical field of cloud computing, in particular to a metadata query method and system. Background technique [0002] In the engineering research of information systems, it is found that data such as software configuration information and software service access information (such as IP address, port, etc.) have the following commonality and are classified into one category by system designers, which is called metadata ( metadata). [0003] 1) Universality, regardless of the scale of the information system, this type of information exists everywhere, and the difference is often only in the scale; [0004] 2) Persistence, this type of information cannot be lost for the operation of the information system during the running of the program; [0005] 3) Read more and write less, this type of information rarely changes, so there is no need to write new values ​​frequently, nor to add or delete frequently. [0006] Met...

AI Technical Summary

Problems solved by technology

The practice of each information system maintaining its own metadata will increase the operational complexity of strategic analysis such as drawing business processes across information systems, which is not conducive to strategic decision support. In addition, when building a new information system, it will also increase communication planning and other aspects The design workload; and the centralized storage of all metadata will cause the system / infrastructure of the centralized storage to overheat, which poses a great challenge to the design of performance and capacity, and will lead to the detection of all information systems when it fails. live, which violates the design principle of fault isolation between information systems

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