CN109885417A - Exception analysis method and electronic equipment, readable storage medium storing program for executing - Google Patents
Exception analysis method and electronic equipment, readable storage medium storing program for executing Download PDFInfo
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- CN109885417A CN109885417A CN201811625627.0A CN201811625627A CN109885417A CN 109885417 A CN109885417 A CN 109885417A CN 201811625627 A CN201811625627 A CN 201811625627A CN 109885417 A CN109885417 A CN 109885417A
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Abstract
The invention discloses exception analysis methods to be arranged abnormal time section including selecting abnormal dimension from the dimension index of systemic presupposition；Starting analysis, the dimension achievement data of abnormal dimension is extracted from dimension index, normal time segment file and abnormal time segment file are obtained according to abnormal time section, whether the data volume of the data volume and abnormal time segment file that judge normal time segment file is in same magnitude；Abnormal dimension impact factor is calculated according to the dimension achievement data of the dimension achievement data of normal time segment file and abnormal time segment file, analyzes the abnormal cause of abnormal dimension.The present invention can reduce abnormal cause positioning time, simplify Analysis on Abnormal step, reduce anomaly analysis cost, reduce the economic loss as caused by abnormal cause.
Description
Technical field
The present invention relates to game technical field more particularly to exception analysis methods and electronic equipment, readable storage medium storing program for executing.
Background technique
Game industry often will appear the situation of critical data exception, as registration rate is abnormal, angle of wound rate is abnormal, retention ratio is different
Often etc..Wherein, registration rate refers to that game caused by as using the plug-in equal cheating program specifically for online game is registered extremely
There is quantity sharp increase within a certain period of time in rate or normal users register limited etc. situation；Angle of wound rate is using plug-in extremely
Occur that number-of-registration is excessive, trip at a certain time Deng a certain role of game caused by the cheating program specifically for online game
The situation that the occurrence rate of play role is higher than normal frequency or creates a new game role etc.；Retention ratio refers to game extremely
The situation that exception occurs in the retention in a certain game process of role or game role can not exit etc..Plug-in spread unchecked easily is led
The exception occurred in the game exception and game play of cause, it is easy to influence game process and can be brought to game operator
Economic loss, only finding out abnormal cause can specific aim solution.
Industry is to need programmer or data to analyze after noting abnormalities for the way for these data exceptions occur at present
It is an apprentice of in database and extracts data, then transfer to the Data Analyst analysis of profession, finally can just navigate to the original occurred extremely
Cause.Whole process at least needs time half a day, and needs multiple department's cooperations, and processing time length, process are complicated, and for not having
There is the exception analysis method threshold for the game operator of certain data analysis foundation higher.
Based on this, abnormal cause positioning time can be reduced, simplify Analysis on Abnormal step, reduce exception by providing one kind
Analysis cost, the exception analysis method for reducing the economic loss as caused by abnormal cause are that technology urgently to be resolved at present is asked
Topic.
Summary of the invention
For overcome the deficiencies in the prior art, one of the objects of the present invention is to provide exception analysis methods, can subtract
Few abnormal cause positioning time simplifies Analysis on Abnormal step, reduces anomaly analysis cost, reduces since abnormal cause causes
Economic loss.
In order to achieve the above object, the technical solution adopted in the present invention is as follows:
Exception analysis method includes the following steps,
Step S1, abnormal dimension is selected from the dimension index of systemic presupposition, and abnormal time section is set；
Step S2, starting analysis extracts the dimension achievement data of abnormal dimension, according to abnormal time section from dimension index
Normal time segment file and abnormal time segment file are obtained, judges the data volume and abnormal time segment file of normal time segment file
Data volume whether in same magnitude；
Step S3, according to the dimension achievement data of the dimension achievement data of normal time segment file and abnormal time segment file
Abnormal dimension impact factor is calculated, the abnormal cause of abnormal dimension is analyzed.
Preferably, further comprising the steps of between step S2 and step S3:
If the data volume of abnormal time segment file and the data volume of normal time segment file execute step in same magnitude
S3；
If the data volume of abnormal time segment file and the data volume of normal time segment file not in same magnitude, to it is normal when
Between the dimension achievement data of segment file and the dimension achievement data of abnormal time segment file be normalized.
Preferably, step S3 specifically includes following steps,
Step S31, the dimension achievement data of normal time segment file and the dimension index number of abnormal time segment file are obtained
According to the dimension achievement data of normal time segment file includes number accounting R of the dimension index under normal time section i dimensioniWith
Index value ri, the dimension achievement data of abnormal time segment file include dimension index when abnormal between number under section i dimension account for
Than R 'iWith index value r 'i；
Step S32, according to the dimension index number of the dimension achievement data of normal time segment file and abnormal time segment file
The cross influence factor is segmented according to calculating dimension impact factor, dimension；
Step S33, the abnormal cause of cross influence factorial analysis exception dimension is segmented according to dimension impact factor, dimension,
Generate report.
Preferably, dimension impact factor isDimension segments the cross influence factor
ForWherein, i=1,2,3 ... n；J is the subdivision of i dimension, j=1,2,3 ... m；
Rij、rijRespectively normal time section subdivision intersect number accounting and
Index value, R 'ij、r′ijRespectively when abnormal between the subdivision of section intersect number accounting and index value.
Preferably, dimension index includes registration rate, angle of wound rate, retention ratio.
Preferably, dimension index is default including game version number, system version number, player area, player's mobile phone model, object for appreciation
The dimension achievement data of family's mobile phone brand, player's sources.
The second object of the present invention is to provide a kind of electronic equipment, can reduce abnormal cause positioning time, simplification
Analysis on Abnormal step reduces anomaly analysis cost, reduces the economic loss as caused by abnormal cause.
In order to achieve the above object, the technical solution adopted in the present invention is as follows:
Including memory, processor and the computer program that can be run on a memory and on a processor is stored, place
It manages when device executes program and realizes the exception analysis method such as one of the object of the invention.
The third object of the present invention is to provide a kind of readable storage medium storing program for executing, can reduce abnormal cause positioning time,
Simplify Analysis on Abnormal step, reduces anomaly analysis cost, reduces the economic loss as caused by abnormal cause.
In order to achieve the above object, the technical solution adopted in the present invention is as follows:
It is stored thereon with computer program, the different of one of such as the object of the invention is realized when computer program is executed by processor
Normal analysis method.
Compared with prior art, the beneficial effects of the present invention are:
By judge normal time segment file data volume and abnormal time segment file data volume whether in same magnitude,
And abnormal dimension is calculated according to the dimension achievement data of the dimension achievement data of normal time segment file and abnormal time segment file
It is fixed to simplify Analysis on Abnormal step, reduction abnormal cause to further analyze the abnormal cause of abnormal dimension for impact factor
The position time reduces anomaly analysis cost, reduces the economic loss as caused by abnormal cause.
Detailed description of the invention
Fig. 1 is the flow diagram of the exception analysis method of present pre-ferred embodiments；
Fig. 2 is the step schematic diagram of the exception analysis method of present pre-ferred embodiments.
Specific embodiment
In the following, being described further in conjunction with attached drawing and specific embodiment to the present invention:
As shown in Figs. 1-2, exception analysis method successively includes the following steps,
Step S1, abnormal dimension is selected from the dimension index of systemic presupposition, and abnormal time section is set.
Preferably, dimension index includes the game Common Abnormity situation such as registration rate, angle of wound rate, retention ratio.Dimension index is pre-
If including but not limited to game version number, system version number, player area, player's mobile phone model, player's mobile phone brand, player come
The dimension achievement data of the dimensions such as source channel.
Step S2, starting analysis, system extract game version number, system version from the dimension index of database automatically
Number, player area, player's mobile phone model, player's mobile phone brand, the exception dimension such as player's sources dimension achievement data,
Normal time segment file is obtained according to the abnormal time section of setting and abnormal time segment file, system compare normal time automatically
The data volume of segment file and the data volume of abnormal time segment file, and judge the data volume of the two whether in same magnitude.
Preferably, if the data volume of abnormal time segment file and the data volume of normal time segment file in same magnitude, directly
It connects and executes step S3；If the data volume of abnormal time segment file and the data volume of normal time segment file are not in same magnitude
The dimension achievement data of normal time segment file and the dimension achievement data of abnormal time segment file is normalized in system,
The method of processing is Optimum allocation random stratified sampling survey.
Step S3, according to the dimension achievement data of the dimension achievement data of normal time segment file and abnormal time segment file
Abnormal dimension impact factor is calculated, the abnormal cause of abnormal dimension is analyzed.
Step S3 specifically includes following steps, successively are as follows:
Step S31, the dimension achievement data of normal time segment file and the dimension of abnormal time segment file are obtained from database
Achievement data is spent, the dimension achievement data of normal time segment file includes number of the dimension index under normal time section i dimension
Accounting RiWith index value ri, the dimension achievement data of abnormal time segment file include dimension index when abnormal between under section i dimension
Number accounting R 'iWith index value r 'i, wherein i=1,2,3 ... n；
Step S32, according to the dimension index number of the dimension achievement data of normal time segment file and abnormal time segment file
The cross influence factor is segmented according to calculating dimension impact factor, dimension,
Specifically, its calculating process is as follows:
According to the dimension achievement data of the dimension achievement data of the normal time segment file of acquisition and abnormal time segment file
It is found that the influence of each exception dimension are as follows: Ei=Ri(1-ri)-Ri'(1-ri')；
The total influence of dimension index are as follows:
The total impact factor of each exception dimension are as follows:
Correspondingly, when being extended to dimension, then the influence of each abnormal dimension are as follows:
Eij=Rij(1-rij)-Rij'(1-rij')；
The total subdivision cross influence of dimension index is
The total dimension of each exception dimension segments the cross influence factor and is
Wherein j is the subdivision of i dimension, j=1,2,3 ... m；Rij、rijRespectively intersect number in the subdivision of normal time section
Accounting and subdivision intersect index value, R 'ij、r′ijRespectively when abnormal between section subdivision intersect number accounting and segment it is interdigital
Scale value.
Step S33, system generates different according to dimension impact factor, dimension subdivision cross influence factorial analysis exception dimension
Normal reason generates anomaly analysis report.
The present invention selects the angle of wound rate Indexes Abnormality dimension of A game as an example, its specific implementation process is as follows:
Some period finds that the angle of wound rate of A game is abnormal, and far below normal time section, it is extremely former to need to analyze angle of wound rate
Cause.
" angle of wound rate " index is inputted, due to having existed the index in system, directly selecting be may cause under " angle of wound rate "
The dimension of drop selects game version number, system version number, player area, player's mobile phone model, player's mobile phone brand, player to come
The dimensions such as source channel, while abnormal time section is set.
After clicking analysis, system is extracted from database automatically and contains game version number, system version number, player
The angle of wound rate data of the A game of dimensions such as area, player's mobile phone model, player's mobile phone brand, player's sources, according to it is abnormal when
Between section by game file be divided into abnormal time section file and normal time section file.The number of two parts of files of system automatic comparison
According to amount whether in same magnitude, for the angle of wound rate Indexes Abnormality of A game shown in the present invention, due to the abnormal just hair of angle of wound rate
Raw, data volume is smaller, therefore system has screened a batch and the abnormal data number of section not on the same day at the same time from normal time section automatically
According to, system calculates the impact factor of each dimension according to above-mentioned formula according to two parts of data and dimension segments the cross influence factor,
And generate anomaly analysis report.
The exception analysis method greatly reduces the time positioned extremely, and exception analysis method exemplified by the present invention can
The abnormal positioning time of anomaly analysis is shortened into a few minutes from half a day；It is easy to operate, reduce anomaly analysis staff's
Learning cost；And because of the determination of abnormal cause, abnormal conditions bring economic loss is greatly reduced.
The present invention also provides a kind of electronic equipment, including memory, processor and storage on a memory and can located
The computer program run on reason device, processor realize that present invention exception analysis method above-mentioned, the electronics are set when executing program
It is standby to include and be not limited to that the anomaly analysis tool of the exception analysis method can be achieved.
The present invention also provides a kind of readable storage medium storing program for executing, are stored thereon with computer program, computer program is by processor
This hair exception analysis method above-mentioned is realized when execution.
It will be apparent to those skilled in the art that can make various other according to the above description of the technical scheme and ideas
Corresponding change and deformation, and all these changes and deformation all should belong to the protection scope of the claims in the present invention
Within.
Claims (8)
1. exception analysis method, which is characterized in that include the following steps,
Step S1, abnormal dimension is selected from the dimension index of systemic presupposition, and abnormal time section is set；
Step S2, starting analysis extracts the dimension achievement data of the abnormal dimension, according to described different from the dimension index
The normal period obtains normal time segment file and abnormal time segment file, judges data volume and the institute of the normal time segment file
The data volume of abnormal time segment file is stated whether in same magnitude；
Step S3, according to the dimension index of the dimension achievement data of the normal time segment file and the abnormal time segment file
Data calculate abnormal dimension impact factor, analyze the abnormal cause of the abnormal dimension.
2. exception analysis method according to claim 1, which is characterized in that between the step S2 and the step S3 also
The following steps are included:
If the data volume of the abnormal time segment file and the data volume of the normal time segment file execute step in same magnitude
Rapid S3；
If the data volume of the abnormal time segment file and the data volume of the normal time segment file be not in same magnitude, to institute
Place is normalized in the dimension achievement data of the dimension achievement data and the abnormal time segment file of stating normal time segment file
Reason.
3. exception analysis method according to claim 1, which is characterized in that the step S3 specifically includes following steps,
Step S31, the dimension for the dimension achievement data and the abnormal time segment file for obtaining the normal time segment file refers to
Data are marked, the dimension achievement data of the normal time segment file includes the dimension index under normal time section i dimension
Number accounting RiWith index value ri, the dimension achievement data of the abnormal time segment file include the dimension index when abnormal
Between number accounting R ' under section i dimensioniWith index value r 'i；
Step S32, referred to according to the dimension of the dimension achievement data of the normal time segment file and the abnormal time segment file
It marks data and calculates dimension impact factor, the dimension subdivision cross influence factor；
Step S33, the exception of the exception dimension according to the dimension impact factor, dimension subdivision cross influence factorial analysis is former
Cause generates report.
4. exception analysis method according to claim 3, which is characterized in that the dimension impact factor isThe dimension segments the cross influence factor
Wherein, i=1,2,3 ... n；J is the subdivision of i dimension, j=1,2,3 ... m；Rij、rijRespectively in the subdivision of normal time section
Intersection number accounting and subdivision intersect index value, R 'ij、r′ijRespectively when abnormal between the subdivision of section intersect number accounting and thin
Divide and intersects index value.
5. exception analysis method described in any one of -4 according to claim 1, which is characterized in that the dimension index includes
Registration rate, angle of wound rate, retention ratio.
6. exception analysis method described in any one of -4 according to claim 1, which is characterized in that the dimension index is default
Including game version number, system version number, player area, player's mobile phone model, player's mobile phone brand, the dimension of player's sources
Spend achievement data.
7. a kind of electronic equipment including memory, processor and stores the meter that can be run on a memory and on a processor
Calculation machine program, it is characterised in that: the processor is realized as described in any one of claim 1-6 when executing described program
Exception analysis method.
8. a kind of readable storage medium storing program for executing, is stored thereon with computer program, it is characterised in that: the computer program is by processor
The exception analysis method as described in any one of claim 1-6 is realized when execution.
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