Offline data task verification method and device
A verification method and technology of a verification device are applied in the field of verification methods and devices for offline data tasks, and can solve the problems of inability to control offline data dimensions, inability to meet offline data dimensions, and low coverage of offline data dimensions, and to improve test coverage. rate, improve completeness and accuracy, and improve test quality
Inactive Publication Date: 2016-12-07
ALIBABA (CHINA) CO LTD
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At present, Internet data analysis is mainly based on the big data platform. For offline data, the big data platform can output offline data according to preset rules for use by Internet companies, but the dimensions of the offline data it provides may not meet the needs of Internet companies. Moreover, the offline data dimension output by the big data platform cannot be controlled, so that the coverage of the offline data dimension output by the big data platform is not high
At present, the offline data provided by the big data platform is mainly processed manually to meet the needs of Internet companies. Due to the amount of Internet data and its growth rate, manual processing of offline data can no longer meet the speed of Internet business development, so it is necessary Offline data processing is completed through offline data tasks, but before offline data tasks are officially launched, they need to be tested to determine whether they meet the requirements of offline data task design
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[0035] Certain terms are used, for example, in the description and claims to refer to particular components. Those skilled in the art should understand that hardware manufacturers may use different terms to refer to the same component. The specification and claims do not use the difference in name as a way to distinguish components, but use the difference in function of components as a criterion for distinguishing. As mentioned throughout the specification and claims, "comprising" is an open term, so it should be interpreted as "including but not limited to". "Approximately" means that within an acceptable error range, those skilled in the art can solve the technical problem within a certain error range and basically achieve the technical effect. The following descriptions in the specification are preferred implementation modes for implementing the present invention, but the descriptions are for the purpose of illustrating the general principles of the present invention, and ...
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The invention discloses an offline data task verification method and device. The method comprises the steps of generating testing data; recording a predicted result set of the testing data, wherein each predicted result in the predicted result set has the corresponding dimension; processing the testing data through an offline data task, and outputting a testing result set, wherein each testing result in the testing result set has the corresponding dimension; comparing the predicted results with the same dimension in the predicted result set with the testing results in the testing result set so as to verify the offline processing task. According to the method and device, the testing coverage rate and the testing quality of the offline data processing task can be sufficiently improved, meanwhile, the integrity and accuracy of result data are improved, a testing report can be generated so that a designer of the offline data processing task can read the report conveniently, and on the necessary condition, the offline data processing task is improved so as to improve the processing capability of the offline data task.
Description
technical field [0001] The invention relates to the field of software testing, in particular to a verification method and device for offline data tasks. Background technique [0002] With the development of Internet technology, in order to analyze user behavior and meet the increasing needs of users, Internet data analysis is one of the tasks that Internet companies must carry out. At present, Internet data analysis is mainly based on the big data platform. For offline data, the big data platform can output offline data for use by Internet companies according to preset rules, but the dimensions of the offline data it provides may not meet the needs of Internet companies. Moreover, the offline data dimension output by the big data platform cannot be controlled, so that the coverage of the offline data dimension output by the big data platform is not high. At present, the offline data provided by the big data platform is mainly processed manually to meet the needs of Internet...
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IPC IPC(8): G06F11/36
CPCG06F11/3692
Inventor 李凌云李红年柳亚政周盛董亚卫潘柏宇王冀
Owner ALIBABA (CHINA) CO LTD