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Converged storage method of service source data

A technology of service origin and data, which is applied in the field of cloud service storage, can solve problems such as inability to support fast and efficient service query operations, inability to support tracking queries, inability to support service tracking, etc., to facilitate analysis and query operations, and improve user experience , the effect of maintaining transparency

Inactive Publication Date: 2015-04-29
WUHAN UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0002] Service origin is different from ordinary system logs. It describes the detailed behavior characteristics of services, including real-time dependencies of services, service execution time, input and output, etc. For details, see patent 201410323340.8. Commonly used storage methods, for example, use relational Database storage, a large amount of detailed service behavior data is stored in a single table, which cannot support fast and efficient service query operations, nor service tracking
The non-relational database represented by Mongodb has the characteristics of free mode, and stores data in the form of key-value, which is convenient for data aggregation operation, but cannot support tracking query
The graph database represented by Neo4j can store service dependencies in the database in the form of graphs, which is convenient for querying service dependencies, but a large amount of service behavior details are stored in relational attributes, which is not conducive to fast aggregation operations

Method used

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  • Converged storage method of service source data

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Embodiment Construction

[0033] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0034] The service origin data is a 9-tuple,

[0035] Namely BasicProv(token, InvokingService, ServiceInvoked, location, elapsed time, timestamp, input, output, status)). File-based storage is a typical NO-SQL data architecture. The service origin data store is in a collection, which contains multiple documents, and each document stores a service dependency pair, such as (S1, S2), and this document stores all records about S1 calling S2. Such as figure 1 As shown, in each file, there are four key-value pairs, which describe the call, has been called, the location where the call occurred (actually stored as an IP address)...

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Abstract

The invention discloses a converged storage method of service source data. The method comprises the following steps of acquiring the service source data; defining a storage mode of the document storage database-based service source data; defining a storage mode of the graphics database-based service source data; reading a service source log, and according to the service source log, creating and updating a document storage database; reading documents in the document storage database according to periods, inserting the documents into a graphics database, and creating a source graph spectrum; according to the document storage database, updating the graphics database. According to the converged storage method of the service source data provided by the invention, balance between a multi-type search requirement and search efficiency is realized; the transparency is kept, the using experience of a user is improved, and uniform analysis and search operation are facilitated through a uniform search analyzer.

Description

technical field [0001] The present invention relates to the technical field of cloud service storage, in particular to a service origin fusion storage method. Background technique [0002] Service origin is different from ordinary system logs. It describes the detailed behavioral characteristics of services, including real-time dependencies of services, service execution time, input and output, etc. For details, see patent 201410323340.8. Commonly used storage methods, for example, use relational Database storage, a large amount of detailed service behavior data is stored in a single table, which cannot support fast and efficient service query operations, nor can it support service tracking. The non-relational database represented by Mongodb has the characteristics of free mode, and stores data in the form of key-value, which is convenient for data aggregation operation, but cannot support tracking query. The graph database represented by Neo4j can store service dependenc...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/25
Inventor 李涛
Owner WUHAN UNIV OF SCI & TECH
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