CN106227666B - A kind of automated testing method and system based on big data - Google Patents
A kind of automated testing method and system based on big data Download PDFInfo
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- CN106227666B CN106227666B CN201610592300.2A CN201610592300A CN106227666B CN 106227666 B CN106227666 B CN 106227666B CN 201610592300 A CN201610592300 A CN 201610592300A CN 106227666 B CN106227666 B CN 106227666B
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Abstract
The embodiment of the present invention provides a kind of automated testing method and system based on big data, which comprises according to the service logic feature to be tested of big data, generates test data set；It is calculated according to the test data set, obtains expected result；The test data set is indicated using multiple test case classes, the multiple test case class universal succession is from a base class；The multiple test case class is calculated, output result is obtained；The expected result and the output result are compared, comparison result is obtained: if the expected result is identical with the output result, being successfully tested, otherwise test crash.Above-mentioned technical proposal has the following beneficial effects: the test problem for solving general big data processing system, can automatically complete, and testing efficiency can be improved, and saves cost；Portable, reusable can be applied in big data automatic test.
Description
Technical field
The present invention relates to big data processing technology field more particularly to a kind of automated testing method based on big data and
System.
Background technique
Big data (big data): refer to can not be captured in the time range that can be born with conventional software tool,
The data acquisition system of management and processing.
The miniature load testing of prior art big data, some specific components or application for big data platform carry out certainly
Dynamicization test.Such as GridMix is the test benchmark towards Hadoop cluster；Sequence of the TeraSort just for text data；
The performance of the YCSB comparison NoSQL database of Yahoo's exploitation, the purpose is to assess key assignments and cloud database；Facebook's
LinkBench stores the database of social graph and network service dedicated for test.The prior art only tests big data platform
Some specific components or application, have very high limitation.
Prior art big data platform can also be by manual test, but manual test low efficiency, and needs operator
Member fully understands that big data platform, technical difficulty are larger
In addition, the prior art also has a targetedly big data platform automatic test, but its be often directed to it is a certain specific
System, it is special to design big data platform automated test frame.It is no doubt high with targetedly test frame testing efficiency, agree with
Degree is high, but portable poor, it is impossible to be used in other big data platforms.
In realizing process of the present invention, at least there are the following problems in the prior art for inventor's discovery: how to solve general
Big data processing system test problem, this is those skilled in the art's technical problem urgently to be resolved.
Summary of the invention
The embodiment of the present invention provides a kind of automated testing method and system based on big data, can automatically complete,
Testing efficiency is improved, cost is saved.
On the one hand, the embodiment of the invention provides a kind of automated testing methods based on big data, which comprises
According to the service logic feature to be tested of big data, test data set is generated；
It is calculated according to the test data set, obtains expected result；
The test data set is indicated using multiple test case classes, the multiple test case class universal succession is from one
A base class；
The multiple test case class is calculated, output result is obtained；
The expected result and the output result are compared, obtain comparison result: if the expected result and institute
It is identical to state output result, then is successfully tested, otherwise test crash.
On the other hand, the embodiment of the invention provides a kind of automatization test system based on big data, the system packets
It includes:
Data Generator generates test data set for the service logic feature to be tested according to big data；According to described
Test data set is calculated, and expected result is obtained；
Actuator, for the test data set to be indicated using multiple test case classes, the multiple test case class
Universal succession is from a base class；The multiple test case class is calculated, output result is obtained；
As a result comparative device obtains comparison result: if institute for the expected result and the output result to be compared
It is identical with the output result to state expected result, then is successfully tested, otherwise test crash.
Above-mentioned technical proposal has the following beneficial effects: the test problem for solving general big data processing system, can
It automatically completes, testing efficiency can be improved, save cost；Portable, reusable can be applied in big data automatic test.
Test case is realized due to using class, so that system facilitates the relation of interdependence of test case inside processing business logic,
Thus it is improved the beneficial effect of automation coverage；Since conventional automated test being combined with big data test, so that
Also jejune big data test has more specific test method, thus has carried out very to the automated testing method of big data
Good supplement and perfect.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is a kind of automated testing method flow chart based on big data of the embodiment of the present invention；
Fig. 2 is a kind of automatization test system composed structure schematic diagram based on big data of the embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
As shown in Figure 1, being a kind of automated testing method flow chart based on big data of the embodiment of the present invention, the method
Include:
101, according to the service logic feature to be tested of big data, test data set is generated；
102, it is calculated according to the test data set, obtains expected result；
103, the test data set is indicated using multiple test case classes, the multiple test case class universal succession
From a base class；
104, the multiple test case class is calculated, obtains output result；
105, the expected result and the output result are compared, obtain comparison result: if the expected result
It is identical with the output result, then it is successfully tested, otherwise test crash.
Preferably, the base class includes several class variables and several class functions, and the class variable includes: use-case title
NAME, the input data MOCKED_SOURCE_DATA of simulation, expected result parameter EXPECTED_RESULT.
Preferably, after obtaining expected result, the expected result is ranked up, is converted into tuples list form；
After obtaining output result, the output result is ranked up, tuples list form is converted into.
Preferably, described to indicate the test data set using multiple test case classes, the multiple test case class
Universal succession is from a base class, comprising: when two test cases class TCl and TC2 have identical input data set, with class TC2
Derived class TC1, class variable input do not make an amendment.
Preferably, described to indicate the test data set using multiple test case classes, the multiple test case class
Universal succession is from a base class, comprising: when the output of a test case class TC3 be another test case class TC4 input
When, with class TC4 derived class TC3, class TC3 output attribute value is assigned to class TC4 attribute value.
Corresponding to above method embodiment, as shown in Fig. 2, being surveyed for a kind of automation based on big data of the embodiment of the present invention
Test system composed structure schematic diagram, the system comprises:
Data Generator 21 generates test data set for the service logic feature to be tested according to big data；According to institute
It states test data set to be calculated, obtains expected result；
Actuator 22, for the test data set to be indicated using multiple test case classes, the multiple test case
Class universal succession is from a base class；The multiple test case class is calculated, output result is obtained；
As a result comparative device 23, for the expected result and the output result to be compared, acquisition comparison result: if
The expected result is identical with the output result, then is successfully tested, otherwise test crash.
Preferably, the base class includes several class variables and several class functions, and the class variable includes: use-case title
NAME, the input data MOCKED_SOURCE_DATA of simulation, expected result parameter EXPECTED_RESULT.
Preferably, the result comparative device 23 arranges the expected result after obtaining expected result
Sequence is converted into tuples list form；After obtaining output result, the output result is ranked up, tuples list shape is converted into
Formula.
Preferably, the actuator 22, specifically for the test data set is indicated using multiple test case classes, when
When two test cases class TC1 and TC2 have identical input data set, with class TC2 derived class TCl, class variable input is not repaired
Change.
Preferably, the actuator 22, specifically for the test data set is indicated using multiple test case classes, when
When the output of one test case class TC3 is the input of another test case class TC4, with class TC4 derived class TC3, by class TC3
Output attribute value is assigned to class TC4 attribute value.
Above-mentioned technical proposal of the embodiment of the present invention, which has the following beneficial effects:, solves general big data processing system
Test problem can automatically complete, and testing efficiency can be improved, and save cost；Portable, reusable can be applied to big data certainly
In dynamicization test.Test case is realized due to using class, so that system facilitates the phase of test case inside processing business logic
Mutual dependence, thus it is improved the beneficial effect of automation coverage；Since conventional automated test being tested with big data
It combines, so that also jejune big data test has more specific test method, thus to the automatic test of big data
Method carried out it is good supplement and it is perfect.
Above-mentioned technical proposal of the embodiment of the present invention is described in detail below by way of application example:
Due to the characteristic of big data itself, big data test cannot directly be same as other tests very mature at present.
The system platform of processing big data is the group system built by multiple servers, including multiple distributed processing modules, and
Data itself have extremely strong complexity again, therefore traditional test methods are not directly applicable big data test, automatic test
Even more seem extremely difficult.
A kind of automatization test system chief component based on big data of application example of the present invention: Data Generator,
Actuator, result comparative device:
Wherein, Data Generator is divided into two parts, and a part generates test according to the service logic feature to be tested of big data
Data set；Another part is calculated according to the test data set, obtains expected result.
Actuator is realized with class, convenient for transplanting extension.Using big data platform localized pattern, by the test data
Collection indicates that the multiple test case class universal succession is from a base class using multiple test case classes；To the multiple test
Use-case class is calculated, and output result is obtained.
As a result the expected result and the output result are compared comparative device, obtain comparison result.
Result is output to test environment local with document form by actuator, and test frame reads this document and turns content
Tuple list is turned to, compares after sequence with expected result tuple list predetermined, if identical, is successfully tested；
If it is inconsistent, test crash, returns to test crash code.
For the universal succession of test case class from a base class, which defines several class variables and several class functions, class
Variable such as includes: use-case title (NAME), the input data (MOCKED_SOURCE_DATA) of simulation, expected result parameter
(EXPECTED_RESULT) etc..Each test case subclass rewrites these class variables.If being based on there are two test case class
Same simulation input data or expected result, then can allow one of use-case Similar integral from another, to reach simulation number
According to the purpose of multiplexing.
Meanwhile if simulation input data and expected result are relatively complicated, it may not be necessary to data are enumerated, but the two is right
The class variable answered is rewritten as property class function, is generated by code.
The base class basic structure of test case is as follows, class variable required for specific implementation also needs to continue to fill up and class
Function:
When there is connection between test case, the succession between class can be carried out according to service logic.Such as following several feelings
Condition:
1, two test case class TestCaseClass1 (TC1) and TestCaseClass2 (TC2) have identical input
When data set, class TC2 derived class TC1 can be used, class variable input does not make an amendment, it is only necessary to modify other attributes；
2, when the input that the output of a test case class TC3 is just class TC4, then using class TC4 derived class at this time
Class TC3 output attribute value is assigned to class TC4 attribute value by TC3.
It is actuator sector of breakdown code below:
Table 1
Def run (self, * args, * * kwargs):
The each actuator subclass of # needs to realize respective run method
raise NotImplementedError()
Application example above-mentioned technical proposal of the present invention, which has the following beneficial effects:, solves general big data processing system
Test problem, can automatically complete, can be improved testing efficiency, save cost；Portable, reusable can be applied to big data
In automatic test.Test case is realized due to using class, so that system facilitates test case inside processing business logic
Relation of interdependence, thus it is improved the beneficial effect of automation coverage；Since conventional automated test being surveyed with big data
Examination combines, so that also jejune big data test has more specific test method, thus surveys to the automation of big data
Method for testing carried out it is good supplement and it is perfect.
It should be understood that the particular order or level of the step of during disclosed are the examples of illustrative methods.Based on setting
Count preference, it should be appreciated that in the process the step of particular order or level can be in the feelings for the protection scope for not departing from the disclosure
It is rearranged under condition.Appended claim to a method is not illustratively sequentially to give the element of various steps, and not
It is to be limited to the particular order or level.
In above-mentioned detailed description, various features are combined together in single embodiment, to simplify the disclosure.No
This published method should be construed to reflect such intention, that is, the embodiment of theme claimed needs to compare
The more features of the feature clearly stated in each claim.On the contrary, as appended claims is reflected
Like that, the present invention is in the state fewer than whole features of disclosed single embodiment.Therefore, appended claims
It is hereby expressly incorporated into detailed description, wherein each claim is used as alone the individual preferred embodiment of the present invention.
For can be realized any technical staff in the art or using the present invention, above to disclosed embodiment into
Description is gone.To those skilled in the art；The various modifications mode of these embodiments will be apparent from, and this
The General Principle of text definition can also be suitable for other embodiments on the basis of not departing from the spirit and scope of the disclosure.
Therefore, the disclosure is not limited to embodiments set forth herein, but most wide with principle disclosed in the present application and novel features
Range is consistent.
Description above includes the citing of one or more embodiments.Certainly, in order to describe above-described embodiment and description portion
The all possible combination of part or method is impossible, but it will be appreciated by one of ordinary skill in the art that each implementation
Example can do further combinations and permutations.Therefore, embodiment described herein is intended to cover fall into the appended claims
Protection scope in all such changes, modifications and variations.In addition, with regard to term used in specification or claims
The mode that covers of "comprising", the word is similar to term " includes ", just as " including " solved in the claims as transitional word
As releasing.In addition, the use of any one of specification in claims term "or" being to indicate " non-exclusionism
Or ".
Those skilled in the art will also be appreciated that the various illustrative components, blocks that the embodiment of the present invention is listed
(illustrativelogical block), unit and step can by electronic hardware, computer software, or both combination
It is realized.For the replaceability (interchangeability) for clearly showing that hardware and software, above-mentioned is various illustrative
Component (illustrativecomponents), unit and step universally describe their function.Such function
It is that the design requirement for depending on specific application and whole system is realized by hardware or software.Those skilled in the art can
Various methods can be used and realize the function for every kind of specific application, but this realization is understood not to surpass
The range of protection of the embodiment of the present invention out.
Various illustrative logical blocks or unit described in the embodiment of the present invention can by general processor,
Digital signal processor, specific integrated circuit (ASIC), field programmable gate array or other programmable logic devices, discrete gate
Or transistor logic, discrete hardware components or above-mentioned any combination of design carry out implementation or operation described function.General place
Managing device can be microprocessor, and optionally, which may be any traditional processor, controller, microcontroller
Device or state machine.Processor can also be realized by the combination of computing device, such as digital signal processor and microprocessor,
Multi-microprocessor, one or more microprocessors combine a digital signal processor core or any other like configuration
To realize.
The step of method described in the embodiment of the present invention or algorithm can be directly embedded into hardware, processor execute it is soft
The combination of part module or the two.Software module can store in RAM memory, flash memory, ROM memory, EPROM storage
Other any form of storaging mediums in device, eeprom memory, register, hard disk, moveable magnetic disc, CD-ROM or this field
In.Illustratively, storaging medium can be connect with processor, so that processor can read information from storaging medium, and
It can be to storaging medium stored and written information.Optionally, storaging medium can also be integrated into the processor.Processor and storaging medium can
To be set in asic, ASIC be can be set in user terminal.Optionally, processor and storaging medium also can be set in
In different components in the terminal of family.
In one or more exemplary designs, above-mentioned function described in the embodiment of the present invention can be in hardware, soft
Part, firmware or any combination of this three are realized.If realized in software, these functions be can store and computer-readable
On medium, or it is transferred on a computer readable medium in the form of one or more instructions or code forms.Computer readable medium includes electricity
Brain storaging medium and convenient for so that computer program is allowed to be transferred to from a place telecommunication media in other places.Storaging medium can be with
It is that any general or special computer can be with the useable medium of access.For example, such computer readable media may include but
It is not limited to RAM, ROM, EEPROM, CD-ROM or other optical disc storages, disk storage or other magnetic storage devices or other
What can be used for carry or store with instruct or data structure and it is other can be by general or special computer or general or specially treated
The medium of the program code of device reading form.In addition, any connection can be properly termed computer readable medium, example
Such as, if software is to pass through a coaxial cable, fiber optic cables, double from a web-site, server or other remote resources
Twisted wire, Digital Subscriber Line (DSL) are defined with being also contained in for the wireless way for transmitting such as example infrared, wireless and microwave
In computer readable medium.The disk (disk) and disk (disc) includes compress disk, radium-shine disk, CD, DVD, floppy disk
And Blu-ray Disc, disk is usually with magnetic replicate data, and disk usually carries out optically replicated data with laser.Combinations of the above
Also it may be embodied in computer readable medium.
Above-described specific embodiment has carried out further the purpose of the present invention, technical scheme and beneficial effects
It is described in detail, it should be understood that being not intended to limit the present invention the foregoing is merely a specific embodiment of the invention
Protection scope, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should all include
Within protection scope of the present invention.
Claims (10)
1. a kind of automated testing method based on big data, which is characterized in that the described method includes:
According to the service logic feature to be tested of big data, test data set is generated；
It is calculated according to the test data set, obtains expected result；
The test data set is indicated using multiple test case classes, the multiple test case class universal succession is from a base
Class；If there are two test case class be based on same expected result, one of test case Similar integral from another；
The multiple test case class is calculated, output result is obtained；
The expected result and the output result are compared, comparison result is obtained: if the expected result and described defeated
Result is identical out, then is successfully tested, otherwise test crash.
2. as described in claim 1 based on the automated testing method of big data, which is characterized in that if the base class includes Ganlei
Variable and several class functions, the class variable include: use-case title NAME, the input data MOCKED_SOURCE_ of simulation
DATA, expected result parameter EXPECTED_RESULT.
3. as described in claim 1 based on the automated testing method of big data, which is characterized in that
After obtaining expected result, the expected result is ranked up, is converted into tuples list form；
After obtaining output result, the output result is ranked up, tuples list form is converted into.
4. as described in claim 1 based on the automated testing method of big data, which is characterized in that described by the test data
Collection indicates that the multiple test case class universal succession is from a base class using multiple test case classes, comprising:
When two test cases class TC1 and TC2 have identical input data set, with class TC2 derived class TC1, class variable input
It does not make an amendment.
5. as described in claim 1 based on the automated testing method of big data, which is characterized in that described by the test data
Collection indicates that the multiple test case class universal succession is from a base class using multiple test case classes, comprising:
When the output of a test case class TC3 is the input of another test case class TC4, with class TC4 derived class TC3,
Class TC3 output attribute value is assigned to class TC4 attribute value.
6. a kind of automatization test system based on big data, which is characterized in that the system comprises:
Data Generator generates test data set for the service logic feature to be tested according to big data；According to the test
Data set is calculated, and expected result is obtained；
Actuator, for indicating the test data set using multiple test case classes, the multiple test case class is whole
It is inherited from a base class；If there are two test case classes to be based on same expected result, one of test case Similar integral
From another；The multiple test case class is calculated, output result is obtained；
As a result comparative device obtains comparison result: if the phase for the expected result and the output result to be compared
It hopes result identical with the output result, is then successfully tested, otherwise test crash.
7. as claimed in claim 6 based on the automatization test system of big data, which is characterized in that if the base class includes Ganlei
Variable and several class functions, the class variable include: use-case title NAME, the input data MOCKED_SOURCE_ of simulation
DATA, expected result parameter EXPECTED_RESULT.
8. as claimed in claim 6 based on the automatization test system of big data, which is characterized in that
The expected result is ranked up by the result comparative device after obtaining expected result, is converted into tuple column
Sheet form；After obtaining output result, the output result is ranked up, tuples list form is converted into.
9. as claimed in claim 6 based on the automatization test system of big data, which is characterized in that
The actuator is specifically used for indicating the test data set using multiple test case classes, when two test cases
When class TC1 and TC2 have identical input data set, with class TC2 derived class TC1, class variable input does not make an amendment.
10. as claimed in claim 6 based on the automatization test system of big data, which is characterized in that
The actuator is specifically used for indicating the test data set using multiple test case classes, when a test case
When the output of class TC3 is the input of another test case class TC4, with class TC4 derived class TC3, class TC3 output attribute value is assigned
Give class TC4 attribute value.
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| CN106713330A (en) * | 2016-12-30 | 2017-05-24 | 广东浪潮大数据研究有限公司 | Spring-based password encryption method for property file |
| CN109933514B (en) * | 2017-12-18 | 2022-07-05 | 北京京东尚科信息技术有限公司 | Data testing method and device |
| CN110046084A (en) * | 2018-01-17 | 2019-07-23 | 北京京东尚科信息技术有限公司 | The method and apparatus of test data product |
| CN110688295A (en) * | 2018-07-06 | 2020-01-14 | 北京京东尚科信息技术有限公司 | Data testing method and device |
| CN109254909B (en) * | 2018-08-06 | 2021-11-23 | 四川蜀天梦图数据科技有限公司 | Method and system for generating large graph for test |
| CN109522226A (en) * | 2018-11-09 | 2019-03-26 | 贵州医渡云技术有限公司 | Big data platform test method, device, electronic equipment and computer-readable medium |
| CN112418930B (en) * | 2020-11-23 | 2024-02-27 | 恩亿科(北京)数据科技有限公司 | Test method, system and computer equipment |
| CN112506803B (en) * | 2021-01-09 | 2021-08-20 | 杭银消费金融股份有限公司 | Big data testing method and system |
| CN117149820B (en) * | 2023-09-25 | 2024-05-14 | 湖南长银五八消费金融股份有限公司 | Borrowing operation detection method, device, equipment and storage medium |
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