A method, device and related equipment for constructing a blood relationship map of metadata

Abstract

The present application discloses a method, apparatus and related equipment for constructing a metadata bloodline map, including: acquiring metadata in multiple systems and relationship information used to indicate the association relationship between metadata in multiple systems, the The relationship information includes the corresponding source system ID, source schema ID, source data table ID, target system ID, target schema ID, target data table ID and business ID corresponding to different metadata; The relationship between the multiple nodes, the multiple nodes include a system node, a schema node, and a data table node, the multiple nodes correspond to different metadata in multiple systems, and a metadata bloodline graph is generated based on this. In this way, a cross-system metadata blood relationship map can be generated, and the metadata blood relationship map can be used to trace the source of abnormal data and / or determine other data affected by abnormal data, etc., to meet the needs of practical applications.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular, to a method, apparatus and related equipment for constructing a metadata blood relationship map. Background technique [0002] The metadata blood relationship map refers to a map used to represent the blood relationship between metadata, wherein the blood relationship between the metadata can be, for example, an attribution relationship, a derivation relationship, and the like. Metadata refers to data used to describe data, such as field attributes in a database. [0003] At present, when building a metadata bloodline map, the metadata in a single system is mainly used to construct a metadata bloodline map according to the corresponding rules, so as to use the metadata bloodline map for information management, impact analysis and traceability. However, this kind of metadata bloodline map is difficult to meet the actual use requirements of some application sce...

AI Technical Summary

Problems solved by technology

However, this kind of metadata kinship map is difficult to meet the actual needs of some application scenarios

For example, in some application scenarios, there may be multiple business systems running within the company, and there are data and metadata transfers between the multiple business systems. At this time, after the data and metadata in the upstream business system change , it is difficult to determine the data in the affected downstream business system according to the corresponding metadata blood relationship map of each business system; or, it is difficult to trace the abnormal data in the upstream business system according to the abnormal data in the downstream business system, etc.

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