CN105786682A - Implementation system and method for avoiding software performance failure - Google Patents
Implementation system and method for avoiding software performance failure Download PDFInfo
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Abstract
The invention discloses an implementation system and method for avoiding software performance failure. The system comprises a new requirement performance testing module, an established application performance base line module, an application system health assessment module and a sub-health reason analyzing and orientating module, wherein the new requirement performance testing module is used for conducting performance testing on a new function and a modified function in a test environment, analyzing the performance problem and conducting performance optimization; the established application performance base line module is used for collecting service handling response time of the system in the production environment; the application system health assessment module is used for scoring the collected service handling response time of the system through a performance assessment method; the sub-health reason analyzing and orientating module is used for conducting performance testing and analysis in the test environment according to a high-time-consuming request and obtaining performance optimization suggestions. According to the implementation system and method for avoiding software performance failure, by continuously collecting system performance information of the production environment, reasons for potential performance problems of the system are analyzed, and service requests which cause integral performance of the system to be slow are analyzed.
Description
Technical field
The present invention relates to a kind of test system and method, particularly relate to a kind of enforcement system and method evading software performance fault.
Background technology
In the last few years, software testing technology presents the situation of high speed development, and performance testing tool emerges in an endless stream, and Performance Testing Technology achieves significant progress, and tradition performance test at present is mainly due to following several:
Version key business performance test: before version is reached the standard grade every time, the key business divided out is implemented performance test at test environment, the result of test compares with the result of performance baseline, test result is in certain region of baseline value (such as-5% to 5%) scope, allow to reach the standard grade, otherwise needing analyzing system performance problem, the reason of positioning performance problem also proposes Optimizing Suggestions；It is optimized according to Optimizing Suggestions, after having optimized, the business function after optimizing is carried out regression test, until test result just terminates in the scope of performance indications.
Performance fault promotes performance test after occurring: after performance fault occurs in system, maintenance department rapid tissue related personnel, including developer, architect etc., problem performance fault occur is analyzed and positions, problem according to location optimizes accordingly, is being deployed in production environment after having optimized.
New demand performance test: before version is reached the standard grade every time, new demand business function is implemented performance test at test environment, the result of test is within the scope of new demand performance indications, allow to reach the standard grade, otherwise need analyzing and positioning performance issue not up to standard, and performance issue is optimized, reach after optimization just to terminate within the scope of performance indications.
But operation system does not solve the performance issue of operation system after performance test, is primarily present problems with:
Performance issue cannot be evaded: be all implement on test environment in implementing performance test process, test environment is big with the differentiation of production environment, such as the integral deployment framework of system is different, hardware resource is widely different, data volume is different, database instance number is not equal, result in test environment test processes can only be for referencial use, can not the truth of Accurate Prediction production environment, the performance issue of an operation system part can only be found, the situation such as propelling and the increase of customer volume over time, operation system is all likely to occur performance issue at any time.
Cannot gauging system quality: the overall performance situation of system is meddlesome bad, it does not have unified standard, systematic function is good, arrives well what degree；Poor performance, difference, to what degree concrete, is measured all without unified standard, it is impossible to allow the very objective behavior pattern knowing grasp system such as O&M team, client.
It is passive that performance issue processes: operation system occurs in that in production environment business handling is problematic, hydraulic performance decline occurs in main frame, appearance cannot transacting business, cause the complaint suffering client, technical staff just promptly organizes the rescue work, and technical staff is in passive state.
To sum up all of technology, traditional performance test implementation cannot break through the restriction of self, it is impossible to ensures that operation system occurs without performance fault, it is impossible to allow operation system is lasting, stable, run efficiently.
Summary of the invention
The technical problem to be solved is to provide a kind of enforcement system and method evading software performance fault, system performance information by persistent collection production environment, the reason of the performance issue that analysis system is potential, analyzes which service request concrete and causes that systematic entirety can be slow.
The present invention solves that above-mentioned technical problem employed technical scheme comprise that a kind of enforcement system evading software performance fault of offer, described system includes:
New demand performance test module, it for carrying out performance test by the function of new function and amendment in test environment, analytical performance problem also carries out performance optimization so that the performance test results reaches pre-set level value, and the system being up to pre-set level value is rendered in production environment；
Setting up application performance base line module, it for collecting the response time of the transacting business of system in production environment, and is ranked up according to described response time, forms application performance baseline；
Application system health evaluating module, it, for the response time of the transacting business of the system of described collection being marked by performance estimating method, obtains the scoring of systematic function in described production environment and high time consuming requests；And analyzing and positioning subhealth state reason module, it for carrying out performance test analysis according to high time consuming requests in test environment, and obtains Performance Optimization Suggestion.
Further, described system also includes: performance optimization module, it is for carrying out performance optimization according to described Performance Optimization Suggestion, described performance optimization retests after terminating in test environment, make the performance test results obtain pre-set level value, and the system being up to pre-set level value is rendered in production environment again.
Further, described system also includes: quantify effect of optimization module, and it is for the scoring of systematic function in described production environment after being optimized and response time, and contrasts the scoring before and after optimization system and response time.
Further, described performance estimating method is to use Apdex index to assess, and the computing formula of described Apdex index is as follows:
Apdex index=(1 × it is satisfied with sample size+tolerable sample size/2)/all sample sizes；The wherein said evaluation criteria being satisfied with sample and described tolerable sample is predeterminable.
Further, the described evaluation criteria being satisfied with sample is that the response time of operation system is less than the first pre-set threshold value, the evaluation criteria of described tolerable sample be the response time of operation system between the first pre-set threshold value and the second pre-set threshold value, described first pre-set threshold value is less than the second pre-set threshold value.
The present invention solves that above-mentioned technical problem also provides for a kind of implementation evading software performance fault, said method comprising the steps of:
The function of new function and amendment carries out performance test in test environment, and analytical performance problem also carries out performance optimization so that the performance test results reaches pre-set level value, and the system being up to pre-set level value is rendered in production environment；
Production environment is collected the response time of the transacting business of system, and is ranked up according to described response time, form application performance baseline；
By performance estimating method, the response time of the transacting business of the system of described collection is marked, obtain the scoring of systematic function in described production environment and high time consuming requests；And in test environment, carry out performance test analysis according to high time consuming requests, and obtain Performance Optimization Suggestion.
Further, described method also includes: carry out performance optimization according to described Performance Optimization Suggestion, described performance optimization retests after terminating in test environment so that the performance test results obtains pre-set level value, and the system being up to pre-set level value is rendered in production environment again.
Further, described method also includes: the scoring of systematic function and response time in described production environment after being optimized, and contrasts the scoring before and after optimization system and response time.
Further, described performance estimating method is to use Apdex index to assess, and the computing formula of described Apdex index is as follows:
Apdex index=(1 × it is satisfied with sample size+tolerable sample size/2)/all sample sizes；
The wherein said evaluation criteria being satisfied with sample and described tolerable sample is predeterminable.
Further, the described evaluation criteria being satisfied with sample is that the response time of described operation system is less than the first pre-set threshold value, the evaluation criteria of described tolerable sample be the response time of operation system between the first pre-set threshold value and the second pre-set threshold value, described first pre-set threshold value is less than the second pre-set threshold value.
The present invention contrasts prior art following beneficial effect: the enforcement system and method evading software performance fault provided by the invention, by the system performance information in persistent collection production environment, the reason of the performance issue that analysis system is potential, it is thus possible to be actively discovered system performance problems, analyze which service request concrete and cause that systematic entirety can be slow, and in advance potential performance issue is optimized, prevent the appearance of system performance problems, the generation of avoidance system performance fault, the effect of optimization of systematic function is obvious.Additionally, the present invention is by the scoring before and after contrast optimization system and response time, it is possible to objective metric effect of optimization, accurate, clear gauging system performance optimization effect.
Accompanying drawing explanation
Fig. 1 is the module map of the enforcement system evading software performance fault of the present invention；
Fig. 2 is the flow chart of the implementation evading software performance fault of the present invention.
Detailed description of the invention
Below in conjunction with drawings and Examples, the invention will be further described.
The present invention provides a kind of enforcement system evading software performance fault, by the system performance information of persistent collection production environment, analyzes the reason of the potential performance issue of system, analyzes which service request concrete and causes that systematic entirety can be slow.
Module map referring now to the enforcement system evading software performance fault that Fig. 1, Fig. 1 are the present invention.Including of the system of the enforcement evading software performance fault of the present invention: new demand performance test module 11, it for carrying out performance test by the function of new function and amendment in test environment, analytical performance problem also carries out performance optimization, make the performance test results reach pre-set level value, and the system being up to pre-set level value is rendered in production environment；Setting up application performance base line module 12, it for collecting the response time of the transacting business of system in production environment, and is ranked up according to described response time, forms application performance baseline；Application system health evaluating module 13, it, for the response time of the transacting business of the system of described collection being marked by performance estimating method, obtains the scoring of systematic function in described production environment and high time consuming requests；And analyzing and positioning subhealth state reason module 14, it for carrying out performance test analysis according to high time consuming requests in test environment, and obtains Performance Optimization Suggestion.
Described system also includes: performance optimization module 15, it is for carrying out performance optimization according to described Performance Optimization Suggestion, described performance optimization retests after terminating in test environment, make the performance test results obtain pre-set level value, and the system being up to pre-set level value is rendered in production environment again.
Described system also includes: quantify effect of optimization module 16, and it is for the scoring of systematic function in described production environment after being optimized and response time, and contrasts the scoring before and after optimization system and response time.
Hereinafter modules is specifically described:
New demand performance test module 11:
Before version requirement is reached the standard grade; function newly-increased, amendment is placed directly in production environment; it is likely to performance fault occurs at once; so newly-increased, the function of amendment and the business of relevant impact would generally be carried out performance test at test environment; after guaranteeing that redaction is up, occur without performance fault in a short time.
In test environment implementation process, first analyzing which demand this version realizes, which business is these demands relate to, and which business function is the content of amendment can affect, it is determined that the scope that performance test is implemented；Related service is recorded script deployment scenario, performs test, and draw the performance test results；Test result is analyzed, the value if analysis result touches the mark, tests by and edition code is deployed to production environment；Index is not up to standard, and analytical performance reason not up to standard also provides Optimizing Suggestions, allows developer be optimized, until optimum results reaches expectation index value.
The performance test results is following table such as:
Pass through above-mentioned steps, it is ensured that the new demand performance of version reaches the requirement of access production environment, it is ensured that the business function that the function increase newly, revised and amendment relate to being correlated with is deployed in production environment and occurs without performance issue in a short time.
Set up application performance base line module 12:
After the program version of new demand is deployed to production environment, it is necessary to the behavior pattern of collection system application production environment, the information such as the performance data of application includes: the business that request, the response time of request, request belong to, business Home System；Application performance data according to collecting are ranked up according to response time, form application system application performance baseline.The performance baseline such as following table of application system:
Can knowing the real situation of grasp system from the performance baseline of application system, grasp which request of system slow, which situation ratio is very fast.
Application system health evaluating module 13:
Utilizing the performance baseline of above application system, connected applications performance index (Apdex is user's quantized value to enterprise's application performance satisfaction) measures the performance of operation system.
The formula of application performance index is as follows:
Apdex index=(1 × it is satisfied with sample size+tolerable sample size/2)/all sample sizes.
Based on " response ", Apdex defines 3 user satisfaction intervals:
Satisfied: such response time allowed user feel very happy, for instance less than 2 seconds.
Tolerance: a little slow, it is also possible to accept, continues this application process, for instance 2～5 seconds.
Disappointed: too slow, can't stand, user determined to abandon this application, for instance more than 5 seconds.
Assuming that the performance baseline of application system has 100 requests, wherein 60 requests are within 2 seconds, and 30 requests are between 2 to 5 seconds, and remaining 10 requests were higher than 5 seconds.Result is calculated according to Apdex formula:
Apdex index=(1 × it is satisfied with sample size+tolerable sample size/2)/all sample sizes=(1 × 60+30/2)/100=0.752.
Performance Score=0.752 of system × 100=75.2 divides, the scoring of the performance that 75.2 points of representative systems are current.The time that the response time comparison user satisfaction that performance baseline according to application system is respectively asked is disappointed, show that the required list needing to optimize is as follows:
| Ranking | Request name | Response time | Business Name | Said system | The need of optimization |
| 1 | Request 001 | 6.5 | …… | …… | It is |
| 2 | Request 002 | 6 | …… | …… | It is |
| …… | …… | …… | …… | …… |
Analyzing and positioning subhealth state reason module 14:
According to the required list needing optimization above, this requested service is carried out performance test at test environment, in test process, collect host resource (as: whether the utilization rate of CPU, internal memory idleness, disk I/O there is frequent paging), middleware (such as WAS, CICS etc.), data base's (such as high sql consuming time, the sql etc. that resource consumption is high) etc., by the slow reason that middleware, data base, hardware resource and code layer analyzing and positioning are asked, provide Performance Optimization Suggestion and test result according to the reason of location.
Performance optimization module 15:
It is optimized according to test result and Performance Optimization Suggestion, generally optimize and may relate to middleware parameter configuration, the optimization in SQL layer face, code implementation optimization etc., after having optimized, need to retest at test environment, test result before test result comparison optimization, sees whether the response time of request reaches the effect that expection promotes, if the response time of request is not reaching to effect, continue to implement performance optimization, until the Optimization Work that produces a desired effect just formally terminates.
Quantify effect of optimization module 16:
Code portions after optimizing is deployed in production environment, the behavior pattern information of collection system application in production environment, the information such as the performance data of application includes: the business that request, the response time of request, request belong to, the system of business ownership.
Extracting the response time of optimization request from the application performance information collected, compared by the response time before and after optimizing, after metric request optimizes, response time promotes amplitude, as shown in the table:
| Sequence number | Request name | Response time before optimizing | Response time after optimization | Lifting amplitude |
| 1 | Request 001 | 6.5 | 4.5 | 31% 5--> |
| 2 | Request 002 | 6 | 4 | 34% |
| …… | …… | …… | …… | …… |
The behavior pattern of system application recalculates the score of system in conjunction with apdex index, sees the comparison of the system score optimizing front and back, the score value that after drawing performance optimization, overall system performance improves, as shown in the table:
| Sequence number | System score before optimizing | System score after optimization | Improve score value (dividing) |
| 1 | 75.2 point | 80.2 point | 5 points |
In one embodiment of this invention, by the enforcement of closed loop, system is carried out version marking and the potential performance issue of the system that is actively discovered, evades performance fault and occur.
First, the new demand of version is implemented performance test, ensure that function newly-increased, amendment does not have performance fault after reaching the standard grade.
Then, production environment, collect system applicable cases data, and be ranked up according to response time, set up application performance baseline.
Then, carry out system is given a mark according to application performance baseline, draw systematic function score, and analyze the required list needing to optimize.
Wherein satisfied request was less than 1 second, and the request of tolerance 1 to 3 seconds, disappointed request was more than 3 seconds.Total request is 200, and being satisfied with number of request is 115, and the number of request of tolerance is 70, and disappointed number of request is 15；
Apdex index=(1 × it is satisfied with sample size+tolerable sample size/2)/all sample sizes=(1 × 115+70/2)/200=0.751.
Systematic function score=0.751 × 100=75.1 divides.Need the required list optimized as follows:
Finally, the request of length consuming time is analyzed subhealth state reason on test environment, and performance issue is optimized, optimize end rear portion and be deployed in production environment；Production environment is collected the system performance information after optimizing the effect of optimization of gauging system.The following is metric request and optimize the comparison of front and back:
Collecting total request after system optimization is 200, and being satisfied with number of request is 132, and the number of request of tolerance is 60, and disappointed number of request is 8；Score after system optimization=(1 × 132+60/2)/200 × 100=81 divides；The following is the score comparison of system before and after optimizing:
| Sequence number | System score before optimizing | System score after optimization | Improve score value (dividing) |
| 1 | 75.1 point | 81 points | 5.9 points |
In sum, the system of the enforcement evading software performance fault provided by the invention, concrete advantage is as follows: by the system performance information in persistent collection production environment, the reason of the performance issue that analysis system is potential, it is thus possible to be actively discovered system performance problems, analyze which service request concrete and cause that systematic entirety can be slow, and in advance potential performance issue is optimized, prevent the appearance of system performance problems, the generation of avoidance system performance fault, the effect of optimization of systematic function is obvious.
Further, by the scoring before and after contrast optimization system and response time, it is possible to objective metric effect of optimization, accurate, clear gauging system performance optimization effect.
Flow chart referring now to the implementation evading software performance fault that Fig. 2, Fig. 2 are the present invention.The implementation evading software performance fault provided by the invention, comprise the following steps, step S21: the function of new function and amendment is carried out in test environment performance test, analytical performance problem also carries out performance optimization, make the performance test results reach pre-set level value, and the system being up to pre-set level value is rendered in production environment；Step S22: collect the response time of the transacting business of system in production environment, and be ranked up according to described response time, forms application performance baseline；Step S23: the response time of the transacting business of the system of described collection is marked by performance estimating method, obtains the scoring of systematic function in described production environment and high time consuming requests；And step S24: in test environment, carry out performance test analysis according to high time consuming requests, and obtain Performance Optimization Suggestion.
Also include step S25: carry out performance optimization according to described Performance Optimization Suggestion, described performance optimization retests after terminating in test environment, make the performance test results obtain pre-set level value, and the system being up to pre-set level value is rendered in production environment again.
Also include step S26: the scoring of systematic function and response time in described production environment after being optimized, and contrast the scoring before and after optimization system and response time.
Described performance estimating method is to use Apdex index to assess, and the computing formula of described Apdex index is as follows:
Apdex index=(1 × it is satisfied with sample size+tolerable sample size/2)/all sample sizes；
The wherein said evaluation criteria being satisfied with sample and described tolerable sample is predeterminable.
The described evaluation criteria being satisfied with sample is the value that user defines that operation system response time is fast, namely less than the first pre-set threshold value, the evaluation criteria of described tolerable sample is that user defines operation system response time in the scope that can tolerate, as, between the first pre-set threshold value and the second pre-set threshold value, described first pre-set threshold value is less than the second pre-set threshold value.Such as preferably described be satisfied with sample evaluation criteria be described response time less than 2 seconds, the evaluation criteria of described tolerable sample is that described response time is more than or equal to 2 seconds and less than 5 seconds.
Although the present invention discloses as above with preferred embodiment; so it is not limited to the present invention, any those skilled in the art, without departing from the spirit and scope of the present invention; when doing a little amendment and perfect, therefore protection scope of the present invention is when with being as the criterion that claims define.
Claims (10)
1. the enforcement system evading software performance fault, it is characterised in that described system includes:
New demand performance test module, it for carrying out performance test by the function of new function and amendment in test environment, analytical performance problem also carries out performance optimization so that the performance test results reaches pre-set level value, and the system being up to pre-set level value is rendered in production environment；
Setting up application performance base line module, it for collecting the response time of the transacting business of system in production environment, and is ranked up according to described response time, forms application performance baseline；
Application system health evaluating module, it, for the response time of the transacting business of the system of described collection being marked by performance estimating method, obtains the scoring of systematic function in described production environment and high time consuming requests；And
Analyzing and positioning subhealth state reason module, it for carrying out performance test analysis according to high time consuming requests in test environment, and obtains Performance Optimization Suggestion.
2. the enforcement system evading software performance fault according to claim 1, it is characterised in that described system also includes:
Performance optimization module, it is for carrying out performance optimization according to described Performance Optimization Suggestion, described performance optimization retests after terminating in test environment so that the performance test results obtains pre-set level value, and the system being up to pre-set level value is rendered in production environment again.
3. the enforcement system evading software performance fault according to claim 2, it is characterised in that described system also includes:
Quantifying effect of optimization module, it is for the scoring of systematic function in described production environment after being optimized and response time, and contrasts the scoring before and after optimization system and response time.
4. the enforcement system evading software performance fault according to claim 1, it is characterised in that described performance estimating method is to use Apdex index to assess, and the computing formula of described Apdex index is as follows:
Apdex index=(1 × it is satisfied with sample size+tolerable sample size/2)/all sample sizes；
The wherein said evaluation criteria being satisfied with sample and described tolerable sample is predeterminable.
5. the enforcement system evading software performance fault according to claim 4, it is characterized in that, the described evaluation criteria being satisfied with sample is that the response time of operation system is less than the first pre-set threshold value, the evaluation criteria of described tolerable sample be the response time of operation system between the first pre-set threshold value and the second pre-set threshold value, described first pre-set threshold value is less than the second pre-set threshold value.
6. the implementation evading software performance fault, it is characterised in that said method comprising the steps of:
The function of new function and amendment carries out performance test in test environment, and analytical performance problem also carries out performance optimization so that the performance test results reaches pre-set level value, and the system being up to pre-set level value is rendered in production environment；
Production environment is collected the response time of the transacting business of system, and is ranked up according to described response time, form application performance baseline；
By performance estimating method, the response time of the transacting business of the system of described collection is marked, obtain the scoring of systematic function in described production environment and high time consuming requests；And
In test environment, carry out performance test analysis according to high time consuming requests, and obtain Performance Optimization Suggestion.
7. the implementation evading software performance fault according to claim 6, it is characterised in that described method also includes:
Carrying out performance optimization according to described Performance Optimization Suggestion, described performance optimization retests after terminating in test environment so that the performance test results obtains pre-set level value, and the system being up to pre-set level value is rendered in production environment again.
8. the implementation evading software performance fault according to claim 7, it is characterised in that described method also includes:
The scoring of systematic function and response time in described production environment after being optimized, and contrast the scoring before and after optimization system and response time.
9. the implementation evading software performance fault according to claim 6, it is characterised in that described performance estimating method is to use Apdex index to assess, and the computing formula of described Apdex index is as follows:
Apdex index=(1 × it is satisfied with sample size+tolerable sample size/2)/all sample sizes
The wherein said evaluation criteria being satisfied with sample and described tolerable sample is predeterminable.
10. the implementation evading software performance fault according to claim 9, it is characterized in that, the described evaluation criteria being satisfied with sample is that the response time of operation system is less than the first pre-set threshold value, the evaluation criteria of described tolerable sample be operation system response time between the first pre-set threshold value and the second pre-set threshold value, described first pre-set threshold value is less than the second pre-set threshold value.
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