Metadata-based data storage architecture, method and device

A data storage device and data storage technology, applied in database indexing, structured data retrieval, electronic digital data processing, etc., can solve the problems of non-interoperability of data sets, occupying storage space, and high system energy consumption, and achieve breakthroughs in data association operations. , single attribute, convenient information search effect

Pending Publication Date: 2021-05-11
苏州伽顿全盛信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The use of pointing vectors as links leads to incommunication between data sets with different aggregation attributes, resulting in data redundancy, high energy consumption of the system, and occupying storage space

Method used

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  • Metadata-based data storage architecture, method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] A data storage architecture suitable for production and operation systems, including an order master table for recording order information; the order master table includes order number, customer name, product name, product quantity information and other demand information provided by customers;

[0035] According to the content of the order information, establish a feature table that is linked to the order master table through the order number. The feature table is used to record the feature metadata corresponding to the feature vector; specifically, attribute factors with attribute directivity are used as feature vectors, and the attributes include Thing attribute, time attribute;

[0036] Feature metadata specifically refers to data generated by various production links in the production operation process, such as supply chain collaboration data, inventory coordination data, and logistics delivery data.

[0037] Regarding data storage:

[0038] The customer places an...

Embodiment 2

[0048] A data storage device based on metadata, including an order receiving unit: used to receive an order to form an order unique identification number, and record order information;

[0049] Expansion unit: used to create a corresponding feature table according to the order content, and the feature table is used to record the feature metadata corresponding to the feature vector;

[0050] Storage unit: store the characteristic metadata generated by the client execution associated with the characteristic vector in the characteristic table.

[0051] The matching unit matches the relevant feature metadata corresponding to the feature vector based on the order number.

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Abstract

The invention discloses a metadata-based data storage architecture. The architecture is suitable for a production operation system, and comprises: an order main table used for recording order information; and a characteristic table linked with the order main table through the order number, wherein the characteristic table is used for recording characteristic metadata corresponding to the characteristic vector. According to the method, the characteristic table is established according to order content, and the characteristic table is linked with the order main table through order numbers; the characteristic table is used for recording characteristic metadata corresponding to the characteristic vector; according to the directivity content as an index, combined characteristic metadata is extracted, and therefore needed data information is obtained; and a traditional aggregation attribute set pointed by a feature vector is abandoned, so that the data of the architecture is free from redundancy.

Description

technical field [0001] The invention relates to the field of data storage structures, in particular to a metadata-based data storage structure and a device thereof. Background technique [0002] The traditional data storage structure is generally limited to the classification and combination of metadata (that is, the data describing the target data and its environment) through feature vectors to form a specific data set. Since the feature vector itself has different directivity, it points to different data sets. Feature data needs to be stored in different datasets, resulting in a large amount of data redundancy between different datasets. [0003] At the same time, due to the different business requirements, it is necessary to match each feature vector, and then extract the corresponding feature data from the data set corresponding to each feature vector, resulting in a performance bottleneck in data association; data association in traditional databases cannot be done. Sy...

Claims

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): G06F16/16G06F16/22G06F16/2457
CPCG06F16/164G06F16/2291G06F16/24573
Inventor许陈圣刘晨光
Owner苏州伽顿全盛信息科技有限公司