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Big data platform data operation and maintenance method and system

A big data platform and data technology, applied in the computer field, can solve problems such as complex operations, batch jobs cannot well support intelligent repair, and data job maintenance cannot be solved.

Pending Publication Date: 2019-07-16
杭州数澜科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the maintenance is performed directly in the server background, the operation and maintenance personnel need to have the operating authority and experience of the server and special personnel are required to do this
In addition, this kind of operation and maintenance is complex, inefficient, and difficult to respond quickly
If maintenance is performed through conventional click operations, its operational flexibility is not high enough, it is not suitable for various job repair scenarios, and it cannot well support its intelligent repair for batch jobs
An example of the data operation and maintenance method in the prior art is the bank data processing operation scheduling system and its method taught by the Chinese patent application publication number CN106156956A; The problem of data job maintenance

Method used

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  • Big data platform data operation and maintenance method and system
  • Big data platform data operation and maintenance method and system

Examples

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Embodiment Construction

[0030] The content of the present invention will now be discussed with reference to several exemplary embodiments. It should be understood that these embodiments are discussed only to enable those of ordinary skill in the art to better understand and thus realize the content of the present invention, and not to imply any limitation on the scope of the present invention.

[0031] As used herein, the term "including" and its variants are to be interpreted as open-ended terms that mean "including but not limited to." The term "based on" is to be read as "based at least in part on." The terms "one embodiment" and "one embodiment" are to be read as "at least one embodiment." The term "another embodiment" is to be read as "at least one other embodiment."

[0032] The different embodiments of the present invention can freely select the time period to repair the data of the job; can perform automatic dependent execution or independent parallel execution according to the time dimension; c...

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Abstract

The invention discloses a big data platform data operation and maintenance method and system. The system includes an execution agent for executing an instance of a task for processing data; a scheduler for allocating instances of the task to the execution agent; a database which is used for storing the information of the instances and the task scheduling information related to the instances; and adata source that stores the data to be processed while the instance is running.

Description

Technical field [0001] The present invention relates to computer technology, in particular to a method and system for data operation and maintenance of a big data platform capable of efficient operation and maintenance. Background technique [0002] With the continuous growth of the amount of enterprise data and the increasing importance of enterprise data, there is a demand for continuous and effective mining of enterprise data. At this time, the demand for business data processing is increasing, and the demand for developing corresponding data operations is also increasing. In addition, there are complex dependencies between jobs. When the cluster fails, batch jobs need to be repaired. However, since there are many jobs, work efficiency will be low when performing manual repairs for each job. When a job fails or its code has been modified, the job needs to be repaired. [0003] In addition, in a big data platform, there will inevitably be a large number of data operations tha...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/21
CPCG06F16/21
Inventor 张翔
Owner 杭州数澜科技有限公司
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