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Method and system for automatically testing API based on Hadoop big data cluster

An automated test and big data technology, applied in the direction of electrical digital data processing, software testing/debugging, error detection/correction, etc., can solve problems such as instability, long execution time, and difficult maintenance, and achieve easy development and maintenance, and execution speed Fast, short-term effect

Pending Publication Date: 2019-09-20
INSPUR QILU SOFTWARE IND
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AI Technical Summary

Problems solved by technology

[0002] In daily work, when the scale of big data products is larger, the relative stability will decrease. To test the stability of big data products, it is natural to think of functional testing, but this kind of stability functional testing will occupy a lot of time. The workload requires a lot of manpower and material resources; in response to this problem, big data web page automation can reduce manpower input, but this test method takes too long to execute, is not easy to maintain, and is also unstable

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  • Method and system for automatically testing API based on Hadoop big data cluster
  • Method and system for automatically testing API based on Hadoop big data cluster
  • Method and system for automatically testing API based on Hadoop big data cluster

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Embodiment Construction

[0032] The present invention will be further described below in conjunction with specific examples.

[0033] A method for API automation testing based on Hadoop big data clusters, which is the realization of API automation testing for Hadoop big data clusters. After a Hadoop big data cluster is installed and the timing is set, the Jenkins integration tool will automatically call the jar package encapsulated by the API test, perform API tests on each service component in the big data cluster, and output the test results to the report. By viewing the report, you can know whether each service component in the big data cluster is normal. In this way, the API testing of related components in big data clusters can be quickly and efficiently completed, with high accuracy, and the workload of API testing of related components of artificial big data clusters can be reduced.

[0034] Specifically, the method includes big data service API calling and API packaging integration automation...

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Abstract

The invention discloses a method and a system for automatically testing an API based on a Hadoop big data cluster, and belongs to the field of computer software API automatic testing. The method comprises the following steps: firstly, installing a Hadoop big data cluster and setting timing; and automatically calling the service API in the big data cluster through an integration tool, carrying out API testing on each service component in the big data cluster, outputting a testing result to a report, and knowing whether each service component in the big data cluster is normal or not by checking the report. A system for automatically testing an API based on a Hadoop big data cluster comprises a big data service API calling module and an API packaging integration automation module. The method is easy to develop and maintain, relatively stable and reliable, high in execution speed and short in time consumption, and the cost can be effectively reduced.

Description

technical field [0001] The invention relates to the field of computer software API automation testing, in particular to a method and system for API automation testing based on Hadoop big data clusters. Background technique [0002] In daily work, when the scale of big data products is larger, the relative stability will decrease. To test the stability of big data products, it is natural to think of functional testing, but this kind of stability functional testing will occupy a lot of time. The workload requires a lot of manpower and material resources; in response to this problem, big data web page automation can reduce manpower input, but this test method takes too long to execute, is not easy to maintain, and is also unstable. Contents of the invention [0003] The technical task of the present invention is to provide a method and system for automated testing of APIs based on Hadoop big data clusters, which are easy to develop and maintain, relatively stable and reliable...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/36
CPCG06F11/3688G06F11/3664
Inventor 王存英
Owner INSPUR QILU SOFTWARE IND
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