CN113051145A - Performance detection method of online verification system - Google Patents
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- CN113051145A CN113051145A CN202110379726.0A CN202110379726A CN113051145A CN 113051145 A CN113051145 A CN 113051145A CN 202110379726 A CN202110379726 A CN 202110379726A CN 113051145 A CN113051145 A CN 113051145A
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Abstract
The invention discloses a performance detection method of an online verification system, which specifically comprises the following steps: step one, system setting; step two, benchmark test; step three, reference testing; step four, load testing; and step five, performing stability test, and relating to the technical field of verification performance detection. According to the performance detection method of the online verification system, the double databases are adopted for service, and asynchronous reading is adopted for loading, so that verification flow can be efficiently completed, a smooth feeling is provided for a user, the error rate of a verification flow is 0%, performance indexes are directly limited, an interface is enabled to run in an index range, the system is roughly judged by using a benchmark test method, then behavior test is performed by increasing loads or simulating corresponding scenes, more comprehensive test is performed on the basis of effective running of the system, the precision of a test result is ensured, and the high efficiency, comfort and comprehensiveness of the system are ensured.
Description
Technical Field
The invention relates to the technical field of verification performance detection, in particular to a performance detection method of an online verification system.
Background
The method comprises the steps of firstly obtaining three parameters of a platform, taking the parameters of the platform, packaging and accessing, accessing the mobile phone number transmitted from the front end by a packaging method to obtain a verification code, and then returning the verification code to the foreground.
The online verification system has wide use range, when the online verification system is used, a general system is easy to crash under the condition that a privatized client faces a special network with uncertain large flow rate of the whole online network after being online, for example, when a large number of transaction requests appear in a time period, and a maintainer is required to perform subsequent maintenance, so that the detection on the processing performance and the processing stability of the system becomes very important, the performance detection means of the conventional online verification system is single, the test is slow, the maximum processing capacity of the current system cannot be measured, the prediction on the subsequent capacity and risk is not facilitated, and the test on the resource use condition and the processing capacity of the whole online verification system is lacked, so that the test result is not comprehensive, therefore, the performance detection method of the online verification system is particularly provided, and an efficient method for detecting the performance of the online verification system is provided for a user, A comfortable and comprehensive performance testing method is used for carrying out comprehensive fine-grained performance testing before the private system is put into production and used.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a performance detection method of an online verification system, and solves the problems of single performance detection means, slow test and incomplete test result of the conventional online verification system.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: a performance detection method of an online verification system specifically comprises the following steps:
step one, system setting: the MySQL database and the redis storage module in the service unit are used for data storage processing, and the interaction between a user and a background is enhanced through the asynchronous reading module in the service operation process;
step two, benchmark test: the TPS standard module, the RT standard module, the CPU operation interval setting module and the memory use interval setting module are used for limiting the standard conditions of system operation, then the single-interface test module is used for detecting verification transactions according to the standard conditions, if the indexes cannot be reached, the fourth step and the fifth step are not needed, the most basic delivery target is not met, the test is directly stopped, and if the test is passed, the third step is carried out;
step three, reference test: the method comprises the steps that a standard pressure testing module is utilized to conduct pressure testing on 1 concurrent verification transaction for 5 minutes, then Think Time (short pause between transactions in performance testing) is not added, a group of datum data is obtained and used as a reference, after the performance testing is conducted for three times repeatedly, the average value of each datum in the three datum data is obtained through a data integration module, and a user can obtain the final result of the datum testing through a datum testing data acquisition module;
step four, load testing: based on the final result of the third step, the concurrency increasing module is used for gradually increasing and concurrency for each interface, the time of each turn of continuation is set by a user through the test continuation module, meanwhile, the chart generating module is used for generating an intuitive test information display chart, and the maximum processing capacity under the current system can be determined after a performance inflection point appears;
step five, stability testing: and selecting a core scene through a scene selection module based on the final result of the step three, simulating the scene through a concurrent proportioning module, performing pressure measurement after the simulation is completed, and setting the duration through a test setting module to determine the resource use condition and the processing capacity of the whole verification system.
Preferably, the service unit is bidirectionally connected with the asynchronous reading module, the asynchronous reading module is bidirectionally connected with the benchmark test unit, the output end of the benchmark test unit is connected with the input end of the reference test unit, the output end of the reference test unit is respectively connected with the input ends of the load test unit and the stable test unit, and the output ends of the load test unit and the stable test unit are both connected with the input end of the benchmark test unit.
Preferably, the service unit includes a MySQL database and a redis storage module, and the MySQL database and the redis storage module are connected in a bidirectional manner, the MySQL database is used for storing persistent data, and the redis storage module is used for storing cached data.
Preferably, the benchmark test unit comprises a TPS standard module, an RT standard module, a CPU running interval setting module, a memory use interval setting module, and a single-interface test module, and the TPS standard module, the RT standard module, the CPU running interval setting module, and the memory use interval setting module are all in bidirectional connection with the single-interface test module.
Preferably, the TPS standard module sets the transaction number standard for processing in unit time between 1700-1900-.
Preferably, the reference test unit comprises a standard pressure test module, a data integration module and a benchmark test data acquisition module, wherein the output end of the standard pressure test module is connected with the input end of the data integration module, and the output end of the data integration module is connected with the input end of the benchmark test data acquisition module.
Preferably, the load testing unit includes a concurrency increase module, a test continuation module, and a graph generation module, an output end of the concurrency increase module is connected to an input end of the test continuation module, and an output end of the test continuation module is connected to an input end of the graph generation module.
Preferably, the stability test unit comprises a scene selection module, a concurrency ratio module and a test setting module, wherein an output end of the scene selection module is connected with an input end of the concurrency ratio module, and an output end of the concurrency ratio module is connected with an input end of the test setting module.
(III) advantageous effects
The invention provides a performance detection method of an online verification system. The method has the following beneficial effects:
(1) the performance detection method of the online verification system is characterized in that double databases are adopted for service, asynchronous reading is adopted for loading, verification flow can be efficiently completed, user experience is improved, when a user does not need to wait but needs to interact with a background, a smooth use feeling is provided for the user, the error rate of the verification flow is 0%, performance indexes are directly limited, an interface runs in an index range, the system is roughly judged by using a benchmark test method, behavior test is performed by increasing loads or simulating corresponding scenes, more comprehensive test is performed on the basis of effective running of the system, and the accuracy of test results is ensured, so that the high efficiency, comfort and comprehensiveness of the system are ensured.
(2) According to the performance detection method of the online verification system, the concurrent increasing module, the test continuing module and the chart generating module are arranged in a matched mode, a user can conveniently conduct step pressurization test on the online verification system, the test data chart is generated through the chart generating module, data can be displayed more visually, performance inflection points can be found conveniently, the maximum processing capacity under the current system can be measured according to the inflection points, and data support is provided for the estimation of follow-up capacity and risk.
(3) The performance detection method of the online verification system directly simulates the scene which can be expected by the online verification system through the matching arrangement of the scene selection module, the concurrence ratio module and the test setting module, so that the operation test is carried out on the verification transaction, whether the whole resource use condition and the processing capacity of the system are stable or not can be verified through the judgment of the test result, and data support is provided for the further judgment of the system.
Drawings
FIG. 1 is a schematic block diagram of the system of the present invention;
FIG. 2 is a system schematic block diagram of a service unit of the present invention;
FIG. 3 is a system schematic block diagram of a benchmark test unit according to the present invention;
FIG. 4 is a schematic block diagram of a system of reference test cells according to the present invention;
FIG. 5 is a schematic block diagram of a system for a load testing unit of the present invention;
FIG. 6 is a schematic block diagram of a system for stabilizing a test cell according to the present invention.
In the figure, 1, service unit; 2. an asynchronous reading module; 3. a benchmark test unit; 4. a reference test unit; 5. a load test unit; 6. a stability test unit; 7. a MySQL database; 8. a redis storage module; 9. a TPS standard module; 10. an RT standard module; 11. a CPU operation interval setting module; 12. a memory use interval setting module; 13. a single interface test module; 14. a standard pressure measurement module; 15. a data integration module; 16. a benchmark test data acquisition module; 17. a concurrency increase module; 18. a test continuation module; 19. a chart generation module; 20. a scene selection module; 21. a concurrent proportioning module; 22. and a test setting module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-6, an embodiment of the present invention provides a technical solution: a performance detection method of an online verification system specifically comprises the following steps:
step one, system setting: the MySQL database 7 and the redis storage module 8 in the service unit 1 are used for data storage processing, and the interaction between a user and a background is enhanced through the asynchronous reading module 2 in the service operation process;
step two, benchmark test: the TPS standard module 9, the RT standard module 10, the CPU operation interval setting module 11 and the memory use interval setting module 12 are used for limiting the standard conditions of system operation, then the single-interface test module 13 is used for detecting verification transactions according to the standard conditions, if the indexes cannot be reached, the fourth step and the fifth step are not needed, the most basic delivery target cannot be met, the test is directly stopped, and if the indexes pass, the third step is carried out;
step three, reference test: the standard pressure measurement module 14 is used for carrying out pressure measurement on 1 concurrent verification transaction for 5 minutes to obtain a group of datum data which is used as a reference, after the pressure measurement is carried out for three times, the data integration module 15 is used for solving the average value of each datum in the three datum data, and a user can obtain the final result of the datum test through the datum test data acquisition module 16;
step four, load testing: based on the final result of the third step, the concurrency increasing module 17 is used for gradually increasing and concurrency for each interface, the duration time of each turn is set by a user through the test duration module 18, meanwhile, the chart generating module 19 is used for generating an intuitive test information display chart, and after a performance inflection point occurs, the maximum processing capacity under the current system can be determined;
step five, stability testing: based on the final result of the third step, the core scene is selected through the scene selection module 20, the scene is simulated through the concurrency matching module 21, pressure testing is performed after the simulation is completed, the duration setting is performed through the test setting module 22, the resource use condition and the processing capacity of the whole verification system are determined, further, the verification flow can be efficiently completed by using the double databases for service and loading through asynchronous reading, the user experience is improved, a smooth use feeling is provided for the user when the user does not need to wait but needs to interact with a background, the error rate of the verification flow is 0%, the performance index is directly limited, so that the interface runs in the index range, the system is roughly judged by using a benchmark test method, and then a behavior test is performed by increasing the load or simulating the corresponding scene, on the basis of guaranteeing the effective operation of system, carry out more comprehensive test, guarantee the precision of test result to guarantee high efficiency, comfortable and comprehensive of system.
As a preferred scheme, the service unit 1 is in bidirectional connection with the asynchronous reading module 2, the asynchronous reading module 2 is in bidirectional connection with the benchmark test unit 3, the output end of the benchmark test unit 3 is connected with the input end of the reference test unit 4, the output end of the reference test unit 4 is respectively connected with the input ends of the load test unit 5 and the stable test unit 6, and the output ends of the load test unit 5 and the stable test unit 6 are both connected with the input end of the benchmark test unit 3.
As a preferred scheme, the service unit 1 includes a MySQL database 7 and a redis storage module 8, and bidirectional connection is implemented between the MySQL database 7 and the redis storage module 8, the MySQL database 7 is used to store persistent data, and the redis storage module 8 is used to store cached data.
As a preferred scheme, the benchmark test unit 3 includes a TPS standard module 9, an RT standard module 10, a CPU running interval setting module 11, a memory use interval setting module 12, and a single-interface test module 13, where the TPS standard module 9, the RT standard module 10, the CPU running interval setting module 11, and the memory use interval setting module 12 are all in bidirectional connection with the single-interface test module 13, the TPS standard module 9 sets the transaction number standard of unit time processing between 1700 and 1900, the TPS standard module 9 has an optimal value of 1800, the RT standard module 10 sets the average response time standard between 1 and 200ms, the CPU running interval setting module 11 stabilizes the resource utilization rate between 90% and 100%, and the memory use interval setting module 12 stabilizes the memory use rate between 6% and 7%.
As a preferred scheme, the reference test unit 4 includes a standard pressure test module 14, a data integration module 15, and a benchmark test data acquisition module 16, an output end of the standard pressure test module 14 is connected to an input end of the data integration module 15, an output end of the data integration module 15 is connected to an input end of the benchmark test data acquisition module 16, and further, the data integration module 15 is configured to calculate an average value of each item of data in the benchmark data measured by the standard pressure test module 14 three times.
Preferably, the load testing unit 5 includes a concurrency increasing module 17, a test continuation module 18, and a graph generating module 19, an output end of the concurrency increasing module 17 is connected to an input end of the test continuation module 18, and an output end of the test continuation module 18 is connected to an input end of the graph generating module 19.
As a preferred scheme, the stability test unit 6 includes a scene selection module 20, a concurrent matching module 21, and a test setting module 22, an output end of the scene selection module 20 is connected to an input end of the concurrent matching module 21, and an output end of the concurrent matching module 21 is connected to an input end of the test setting module 22, which further explains that the concurrent matching module 21 is mainly used to simulate a main scene encountered by the system.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation. The use of the phrase "comprising one of the elements does not exclude the presence of other like elements in the process, method, article, or apparatus that comprises the element.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A performance detection method of an online verification system is characterized in that: the method specifically comprises the following steps:
step one, system setting: the MySQL database (7) and the redis storage module (8) in the service unit (1) are used for data storage processing, and the interaction between a user and a background is enhanced through the asynchronous reading module (2) in the service operation process;
step two, benchmark test: the TPS standard module (9), the RT standard module (10), the CPU operation interval setting module (11) and the memory use interval setting module (12) are used for limiting the standard conditions of system operation, then the single-interface test module (13) is used for detecting verification transactions according to the standard conditions, if the indexes cannot be reached, the fourth step and the fifth step are not needed, the most basic delivery target is not met, the test is directly stopped, and if the test is passed, the third step is carried out;
step three, reference test: carrying out pressure measurement on 1 concurrent verification transaction for 5 minutes by using a standard pressure measurement module (14) to obtain a group of datum data, taking the datum data as a reference, repeatedly carrying out three times, then obtaining an average value of each datum in the three datum data through a data integration module (15), and obtaining a final datum test result through a datum test data acquisition module (16) by a user;
step four, load testing: based on the final result of the third step, each interface is gradually increased and concurrency is carried out by utilizing a concurrency increasing module (17), the time of each turn duration is set by a user through a test duration module (18), meanwhile, a visual test information display chart is generated by utilizing a chart generating module (19), and the maximum processing capacity under the current system can be determined after a performance inflection point appears;
step five, stability testing: and based on the final result of the third step, selecting a core scene through a scene selection module (20), simulating the scene through a concurrency matching module (21), performing pressure measurement after the simulation is finished, and setting the duration through a test setting module (22) to determine the resource use condition and the processing capacity of the whole verification system.
2. The method of claim 1, wherein the performance testing of the online verification system comprises: service unit (1) and asynchronous module (2) of reading realize the both way junction, asynchronous module (2) of reading realizes the both way junction with benchmark test unit (3), the output of benchmark test unit (3) is connected with the input of reference test unit (4), the output of reference test unit (4) is connected with the input of load test unit (5) and stability test unit (6) respectively, the output of load test unit (5) and stability test unit (6) all is connected with the input of benchmark test unit (3).
3. The method of claim 1, wherein the performance testing of the online verification system comprises: the service unit (1) comprises a MySQL database (7) and a redis storage module (8), bidirectional connection is realized between the MySQL database (7) and the redis storage module (8), the MySQL database (7) is used for storing permanent data, and the redis storage module (8) is used for storing cache data.
4. The method of claim 1, wherein the performance testing of the online verification system comprises: the benchmark test unit (3) comprises a TPS standard module (9), an RT standard module (10), a CPU operation interval setting module (11), a memory use interval setting module (12) and a single-interface test module (13), wherein the TPS standard module (9), the RT standard module (10), the CPU operation interval setting module (11) and the memory use interval setting module (12) are all in bidirectional connection with the single-interface test module (13).
5. The method of claim 1, wherein the performance testing of the online verification system comprises: the TPS standard module (9) sets the transaction number standard of unit time processing between 1700-1900, the RT standard module (10) sets the average response time standard between 1-200ms, the CPU operation interval setting module (11) stabilizes the resource utilization rate between 90% and 100%, and the memory usage interval setting module (12) stabilizes the memory usage rate between 6% and 7%.
6. The method of claim 1, wherein the performance testing of the online verification system comprises: the reference test unit (4) comprises a standard pressure test module (14), a data integration module (15) and a benchmark test data acquisition module (16), wherein the output end of the standard pressure test module (14) is connected with the input end of the data integration module (15), and the output end of the data integration module (15) is connected with the input end of the benchmark test data acquisition module (16).
7. The method of claim 1, wherein the performance testing of the online verification system comprises: the load testing unit (5) comprises a concurrency increasing module (17), a testing continuing module (18) and a chart generating module (19), wherein the output end of the concurrency increasing module (17) is connected with the input end of the testing continuing module (18), and the output end of the testing continuing module (18) is connected with the input end of the chart generating module (19).
8. The method of claim 1, wherein the performance testing of the online verification system comprises: the stability test unit (6) comprises a scene selection module (20), a concurrency ratio module (21) and a test setting module (22), wherein the output end of the scene selection module (20) is connected with the input end of the concurrency ratio module (21), and the output end of the concurrency ratio module (21) is connected with the input end of the test setting module (22).
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