CN114470747A

CN114470747A - Data processing method, data processing device, storage medium and computer equipment

Info

Publication number: CN114470747A
Application number: CN202210137774.3A
Authority: CN
Inventors: 柴铭; 李元实
Original assignee: Netease Hangzhou Network Co Ltd
Current assignee: Netease Hangzhou Network Co Ltd
Priority date: 2022-02-15
Filing date: 2022-02-15
Publication date: 2022-05-13

Abstract

The embodiment of the application discloses a data processing method, a data processing device, a storage medium and computer equipment. The method comprises the following steps: the computer equipment obtains game running data corresponding to each client, determines a first game running problem corresponding to each client according to the game running data corresponding to each client, sorts the first game running problems corresponding to each client, determines at least one second game running problem, determines the severity of the at least one second game running problem, and determines a target game running problem in the at least one second game running problem according to the severity. In the embodiment of the application, the game running problems appearing in the plurality of clients are screened and sorted, so that the representative target game running problems are determined, and the efficiency of detecting and processing the game running problems is improved.

Description

Data processing method, data processing device, storage medium and computer equipment

Technical Field

The present application relates to the field of computer technologies, and in particular, to a data processing method and apparatus, a storage medium, and a computer device.

Background

When a game is run on different electronic devices, some game running problems occur in the game running process due to hardware differences, system differences or game version differences of the electronic devices. And developers need to solve the game running problem.

In the prior art, the mode of solving the game running problems is to collect all the game running problems and analyze each game running problem, so as to find a corresponding solution, and the mode is time-consuming, labor-consuming and low in efficiency.

Disclosure of Invention

The embodiment of the application provides a data processing method, a data processing device, a storage medium and computer equipment. The data processing method can improve the efficiency of detecting and processing the game running problems.

In a first aspect, an embodiment of the present application provides a data processing method, including:

obtaining game running data corresponding to each client;

determining a first game running problem corresponding to each client according to the game running data corresponding to each client;

the method comprises the steps that a first game running problem corresponding to each client is sorted, and at least one second game running problem is determined;

determining the severity of the at least one second game play question, and determining a target game play question among the at least one second game play question according to the severity.

In a second aspect, an embodiment of the present application provides a data processing apparatus, including:

the acquisition module is used for acquiring game running data corresponding to each client;

the first determining module is used for determining a first game running problem corresponding to each client according to the game running data corresponding to each client;

the arrangement module is used for arranging the first game running problems corresponding to each client and determining at least one second game running problem;

and the second determining module is used for determining the severity of the at least one second game running problem and determining the target game running problem in the at least one second game running problem according to the severity.

In a third aspect, an embodiment of the present application provides a computer-readable storage medium, where a plurality of instructions are stored in the computer-readable storage medium, and the instructions are suitable for being loaded by a processor to perform steps in a data processing method provided in an embodiment of the present application.

In a fourth aspect, an embodiment of the present application provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the steps in the data processing method provided in the embodiment of the present application.

In the embodiment of the application, the computer device obtains game running data corresponding to each client, determines a first game running problem corresponding to each client according to the game running data corresponding to each client, sorts the first game running problems corresponding to each client, determines at least one second game running problem, determines the severity of the at least one second game running problem, and determines a target game running problem in the at least one second game running problem according to the severity. In the embodiment of the application, the game running problems appearing in the plurality of clients are screened and sorted, so that the representative target game running problems are determined, and the efficiency of detecting and processing the game running problems is improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a schematic diagram of a first scenario of data processing provided in an embodiment of the present application.

Fig. 2 is a first flowchart of a data processing method according to an embodiment of the present application.

Fig. 3 is a second flowchart of the data processing method according to the embodiment of the present application.

Fig. 4 is a third flow chart of the data processing method according to the embodiment of the present application.

Fig. 5 is a scene schematic diagram of game running problem merging provided in the embodiment of the present application.

Fig. 6 is a schematic diagram of a second scenario of data processing provided in the embodiment of the present application.

Fig. 7 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application.

Fig. 8 is a schematic structural diagram of a computer device provided in an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.

The embodiment of the application provides a data processing method, a data processing device, a storage medium and computer equipment. Specifically, the data processing method of the embodiment of the present application may be executed by a computer device, where the computer device may be a terminal or a server or other devices. The terminal may be a terminal device such as a smart phone, a tablet Computer, a notebook Computer, a touch screen, a game machine, a Personal Computer (PC), a Personal Digital Assistant (PDA), and the like, and may further include a client, which may be a game application client, a browser client carrying a game program, or an instant messaging client, and the like. The server may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing basic cloud computing services such as cloud service, a cloud database, cloud computing, a cloud function, cloud storage, network service, cloud communication, middleware service, domain name service, security service, CDN, and a big data and artificial intelligence platform.

Referring to fig. 1, fig. 1 is a schematic view of a scenario for providing data processing according to an embodiment of the present disclosure. Included within this scenario is a data processing system that may include at least one computer device 1000, at least one server 2000, at least one database 3000, and a network 4000. The computer device 1000 held by the user can be connected to servers of different games through the network 4000. The computer device 1000 is any device having computing hardware capable of supporting and executing software products corresponding to games. In addition, the computer device 1000 has one or more multi-touch sensitive screens for sensing and obtaining input by a user through a touch or slide operation performed at multiple points of one or more touch sensitive display screens. In addition, when the system includes a plurality of computer apparatuses 1000, a plurality of servers 2000, and a plurality of networks 4000, different computer apparatuses 1000 may be connected to each other through different networks 4000 and through different servers 2000. The network 4000 may be a wireless network or a wired network, such as a Wireless Local Area Network (WLAN), a Local Area Network (LAN), a cellular network, a 2G network, a 3G network, a 4G network, a 5G network, and so on. In addition, different computer devices 1000 may also be connected to other terminals or servers using their own bluetooth network or hotspot network. For example, multiple users may be online through different computer devices 1000 to connect and synchronize with each other over a suitable network to support multiplayer gaming. In addition, the system may include a plurality of databases 3000, the plurality of databases 3000 being coupled to different servers 2000, and information related to the game environment may be continuously stored in the databases 3000 when different users play the multiplayer game online.

The embodiment of the application provides a data processing method, which can be executed by a terminal or a server. The embodiment of the present application is described by taking an example in which a data processing method is executed by a server. In the scene of game development or game maintenance, a large amount of game running data is required to be collected to perform game development or game maintenance.

Since the game is often run on different terminals, for example, the game is run on different computers or different terminals, the performance of the device during the game is caused by different performances of different devices, different loaded systems, different performance schedules and different hardware designs. For example, when different devices run the same game, the frame rate, image quality, fluency, and the like of the game may be different.

In the application, because the corresponding game clients are installed on different devices, the game running data of the different devices can be determined by acquiring the game running data of the multiple clients. And then determining the game running problem corresponding to each client by the game data corresponding to each client. And subsequently, detecting and screening the game running problems, thereby determining the representative target game running problems. Therefore, the detection processing of all game running problems is avoided, and only some representative target game running problems are detected, so that the efficiency of detecting and processing the game running problems is improved.

Referring to fig. 2, fig. 2 is a first flowchart illustrating a data processing method according to an embodiment of the present disclosure. The data processing method may include the steps of:

110. and obtaining game running data corresponding to each client.

In some embodiments, when a game is executed on different devices, the game execution data on the different devices may differ due to different performances of the different devices, different systems installed, different performance schedules, different hardware designs, and the like.

The computer device can obtain corresponding game running data through the client on each device. For example, the game running data includes the frame rate, image quality, fluency, scene, running duration, and the like of the game running.

In some embodiments, when the game corresponding to the plurality of clients is running, the computer device may obtain the game running data of each client at intervals of a preset obtaining time, for example, obtain the game running data corresponding to each client at intervals of 5 minutes.

After the computer device obtains the game running data, the game running data may be aggregated, for example, the game running data in each half hour is aggregated, so as to generate aggregated game running data, where the aggregated game running data includes data such as a frame rate, an image quality, and a smoothness during game running in different time periods.

120. And determining a first game running problem corresponding to each client according to the game running data corresponding to each client.

In some embodiments, after the computer device obtains the game running data corresponding to each client, abnormal data in the game running data corresponding to each client may be determined, and then the first game running problem corresponding to each client is determined according to the abnormal data corresponding to each client.

For example, in game running data corresponding to one client, where the frame rate is 29 and the preset frame rate is 30, the frame rate is lower than the frame rate threshold, then the frame rate 29 in the game running data is abnormal data. And then determining that the first game running problem corresponding to the client is a frame rate problem.

For another example, in the game running data corresponding to one client, where the frame rate is 29 and the preset frame rate threshold is 30, and the frame rate is lower than the frame rate threshold, the frame rate 29 in the game running data is the abnormal data. The image quality is 2, the preset image quality threshold is 3, and if the image quality is lower than the preset image quality threshold, the image quality 2 in the game running data is abnormal data. The first game running problem corresponding to the client is a frame rate-picture quality problem.

It should be noted that, when the first game running problem corresponding to each client is actually determined, the first game running problem may be determined according to only one type of data in the game running data, or may be determined according to multiple types of data in the game running data.

130. And arranging the first game running problems corresponding to each client to determine at least one second game running problem.

In some embodiments, after determining the first game play question corresponding to each client, the computer device may delete some of the first game play questions and retain the remaining first game play questions. The reserved first game play question can be identified as a second game play question.

If the first game running problem lasts for a short time only for a few seconds during the game running process, for example, if a frame rate of a certain first game running problem is changed from 30 to 29 during the game running process and lasts for only 2 seconds, the first game running problem is not significant to the development of the game or the maintenance of the game, and the first game running problem can be deleted, so that the first game running problem can be simplified. The detection processing efficiency of the subsequent computer equipment on other first game running problems is improved.

In some embodiments, the computer device may further merge the first game running questions corresponding to each client to determine at least one of the second game running questions.

For example, the computer device may determine a duration corresponding to each first game running question according to the game running data, combine the first game running questions according to the duration to obtain a target first game running question of the target duration, and finally combine the target first game running questions according to the game running data to determine at least one second game running question.

Specifically, the computer device may determine a plurality of adjacent duration lengths and a plurality of first game running problems corresponding to the adjacent duration lengths, and then merge the first game running problems corresponding to the adjacent duration lengths to obtain a target first game running problem of the target duration length.

For example, the "first game play question 1" corresponds to a duration of 10:00 to 10:05 for a total of 5 minutes. The duration time corresponding to the first game running question 2 is 10: 05-10: 12, and the total time is 7 minutes. The duration corresponding to the first game running question 3 is 10: 12-10: 15, and the total duration is 3 minutes. Then, the durations respectively corresponding to the "first game running question 1", the "first game running question 2", and the "first game running question 3" are all adjacent durations. At this time, "first game play question 1", "first game play question 2", and "first game play question 3" may be merged to obtain the target first game play question. The target first game play question corresponds to a duration of 15 minutes.

It should be noted that the first game running questions corresponding to the plurality of adjacent duration periods may be the same, for example, "first game running question 1", "first game running question 2", and "first game running question 3" are all frame rate questions. The resulting target first game play problem is also a frame rate problem.

In some embodiments, the first game play questions corresponding to the plurality of adjacent duration periods may be the same, for example, if the game play data corresponding to the "first game play question 1" is the frame rate 25 and the image quality 1, the game play data corresponding to the "first game play question 2" is the frame rate 26 and the image quality 2, and the game play data corresponding to the "first game play question 3" is the frame rate 27 and the image quality 3, the game play data corresponding to the target first game play question generated after merging the "first game play question 1", the "first game play question 2", and the "first game play question 3" is the frame rate 26 and the image quality 2. That is, when the first game running problems respectively corresponding to a plurality of adjacent duration times are combined, different types of game running data may be averaged, for example, frame rate 26 is the average of frame rate 25, frame rate 26, and frame rate 27. The frame rate in the game play data corresponding to the generated target first game play question is 26.

In some embodiments, after determining the duration corresponding to each first game play question, and after determining a plurality of adjacent durations, a last ranked duration may be determined according to a chronological order, a last adjacent duration may be determined, and if the last adjacent duration is less than a preset interval, a next duration after the last may be determined as the adjacent duration to the last.

For example, if the duration time corresponding to the "first game running question 1" is 10:00 to 10:05, a total of 5 minutes. The duration time corresponding to the first game running question 2 is 10: 05-10: 12, and the total time is 7 minutes. The duration corresponding to the first game running question 3 is 10: 15-10: 17, and the total duration is 2 minutes. The interruption time between the first game running question 2 and the first game running question 3 is 3 minutes, the preset simple time is 4 minutes, and the interruption time is less than the preset interruption time, so that the duration of the first game running question 3 is determined as the duration adjacent to the duration corresponding to the first game running question 2.

Then, the target first game running question is obtained by merging the "first game running question 1", the "first game running question 2", and the "first game running question 3". The target first game play question corresponds to a duration of 18 minutes. Namely, the duration corresponding to the target first game running question is the duration plus the interruption duration corresponding to each of the "first game running question 1", the "first game running question 2", and the "first game running question 3".

Through the mode, the plurality of first game running problems are merged in the first step, so that the target first game running problem is obtained, and the number of the game running problems needing to be processed by subsequent computer equipment is reduced.

After obtaining the target first game play questions, the computer device may determine, according to the game play data, a dimension corresponding to each target first game play question; and merging the target first game running problems according to the dimensionality to determine at least one second game running problem.

Specifically, the computer device may determine a data type included in the game running data corresponding to each target first game running problem, and then determine a dimension corresponding to each target first game running problem according to the data type.

For example, if the game execution data corresponding to the "target first game execution question 1" includes the frame rate 26, the platform iOS, and the image quality 2, and if the three data types of the frame rate, the platform, and the image quality are in higher levels, the dimension corresponding to the "target first game execution question 1" is determined to be a high latitude.

The game execution data corresponding to the "target first game execution question 2" includes the frame rate 26, the platform iOS, the image quality 2, and the scene 1, and the game execution data corresponding to the "target first game execution question 2" includes the data type "scene" of the lower level, so that the dimension corresponding to the "target first game execution question 2" is the low latitude.

The computer device merges the low-dimensional 'target first game running question 2' into the high-dimensional 'target first game running question 1', and then obtains a second game running question. The game play data corresponding to the second game play question is frame rate 26, platform iOS, and image quality 2. The duration time corresponding to the second game running question is the longest duration time of the "target first game running question 1" and the "target first game running question 2", for example, the duration time corresponding to the "target first game running question 1" is 100 minutes, the duration time corresponding to the "target first game running question 2" is 90 minutes, and then the duration time corresponding to the second game running question is 100 minutes.

140. Determining the severity of the at least one second game play question, and determining a target game play question among the at least one second game play question according to the severity.

In some embodiments, after the at least one second game running problem is determined, the coverage duration, the number of covered persons and the historical occurrence frequency corresponding to the at least one second game running problem are determined, then the severity of the corresponding second game running problem is determined according to the coverage duration, the number of covered persons and the historical occurrence frequency, and finally the target game running problem is determined in the at least one second game running problem according to the severity.

For example, the computer device determines a plurality of second game running problems, and determines the coverage duration, the number of covered people and the historical occurrence frequency corresponding to one second game running problem, and determines a first weight corresponding to the coverage duration, a second weight corresponding to the number of covered people and a third weight corresponding to the historical occurrence frequency corresponding to the second game running problem when determining the severity corresponding to the second game running problem.

And then determining the total coverage time, the total number of covered people and the total historical occurrence frequency corresponding to all the second game running problems. And then, dividing the total coverage time by the coverage time to obtain a first ratio, dividing the total coverage number by the number of covered people to obtain a second ratio, and dividing the total historical occurrence frequency by the historical occurrence frequency to obtain a third ratio.

And finally, adding the first result, the second result and the third result to obtain a final degree value, and determining the severity corresponding to the second game running problem by the computer equipment according to the degree value, wherein the higher the degree value is, the higher the severity is.

In some embodiments, after obtaining the severity corresponding to each second game play question, the computer device may rank the second game play questions according to the severity, and determine the second game play questions ranked within the top N numbers as the target game play questions.

The target game running problem is the game running problem which needs to be paid attention and processed by the computer equipment finally, so that the number of the game running problems which need to be processed by the computer equipment is reduced, and the efficiency of detecting and processing the game running problems is improved.

For a more detailed understanding of the data processing method provided in the embodiment of the present application, please refer to fig. 3, wherein fig. 3 is a second flowchart of the data processing method provided in the embodiment of the present application. The data processing method can comprise the following steps:

201. and obtaining game running data corresponding to each client.

202. And determining abnormal data in the game running data corresponding to each client.

For example, in game running data corresponding to one client, where the frame rate is 29 and the preset frame rate is 30, the frame rate is lower than the frame rate threshold, then the frame rate 29 in the game running data is abnormal data.

In the game running data corresponding to one client, the image quality is 2, the preset image quality threshold is 3, and if the image quality is lower than the preset image quality threshold, the image quality 2 in the game running data is abnormal data.

203. And determining a first game running problem corresponding to each client according to the abnormal data corresponding to each client.

204. And determining the duration corresponding to each first game running problem according to the game running data.

In some embodiments, the game running data includes time data corresponding to the running of the client game, and the duration corresponding to each first game running problem can be determined through the time data.

For example, the "first game play question 1" corresponds to a duration of 10:00 to 10:05 for a total of 5 minutes. The duration time corresponding to the first game running question 2 is 10: 05-10: 12, and the total time is 7 minutes. The duration corresponding to the first game running question 3 is 10: 12-10: 15, and the total duration is 3 minutes.

205. And merging the first game running problems according to the duration to obtain the target first game running problem of the target duration.

The computer device may determine a plurality of adjacent durations and a plurality of first game running problems corresponding to the adjacent durations, and then merge the first game running problems corresponding to the adjacent durations to obtain a target first game running problem of a target duration.

It should be noted that the first game running questions corresponding to a plurality of adjacent duration times may be the same, for example, "first game running question 1", "first game running question 2", and "first game running question 3" are all frame rate questions. The resulting target first game play problem is also a frame rate problem.

In some embodiments, the first game play questions corresponding to the adjacent continuous periods may be the same, for example, if the game play data corresponding to the "first game play question 1" is the frame rate 25 and the image quality 1, the game play data corresponding to the "first game play question 2" is the frame rate 26 and the image quality 2, and the game play data corresponding to the "first game play question 3" is the frame rate 27 and the image quality 3, the game play data corresponding to the target first game play question generated after merging the "first game play question 1", the "first game play question 2", and the "first game play question 3" is the frame rate 26 and the image quality 2. That is, when the first game running questions corresponding to a plurality of adjacent duration times are combined, different types of game running data may be averaged, for example, frame rate 25, frame rate 26, and frame rate 27 are averaged to form frame rate 26. The frame rate in the game play data corresponding to the generated target first game play question is 26.

For example, if the duration time corresponding to the "first game running question 1" is 10:00 to 10:05, a total of 5 minutes. The duration time corresponding to the first game running question 2 is 10: 05-10: 12, and the total time is 7 minutes. The duration time corresponding to the first game running question 3 is 10: 15-10: 17, and the total time is 2 minutes. The interruption time between the first game running question 2 and the first game running question 3 is 3 minutes, the preset simple time is 4 minutes, and the interruption time is less than the preset interruption time, so that the duration of the first game running question 3 is determined as the duration adjacent to the duration corresponding to the first game running question 2.

206. And determining the corresponding dimensionality of each target first game running problem according to the game running data.

Referring to fig. 4, fig. 4 is a third flow chart of the data processing method according to the embodiment of the present application. The dimension corresponding to each target first game running problem determined according to the game running data can be performed in the following mode:

301. and determining the data type contained in the game running data corresponding to each target first game running question.

For example, if the game play data corresponding to the "target first game play question 1" includes the frame rate 26, the platform iOS, and the image quality 2, the game play data corresponding to the "target first game play question 1" includes three types of data, i.e., the frame rate, the platform, and the image quality.

In this way, it is possible to pass the data type included in the game play data corresponding to each target first game play question.

302. A rating corresponding to each data type in each target first game play question is determined.

In some embodiments, if it is required to detect which game execution data is in game development or game maintenance, a higher level may be set for the game execution data of that data type.

For example, if the main game running problem to be detected is the frame rate and the platform, in the "target first game running problem 1", the frame rate and the platform have a higher level, and the image quality has a lower level.

In other target first game running problems, the corresponding grade of each data type can be determined in the mode.

303. And determining the target grade corresponding to each target first game running problem according to the grade.

In some embodiments, the computer device may add the levels for each data type and then average the target level for the target first game play question.

For example, the data type level corresponding to the "target first game execution question 2" has a level of 4, 1, respectively, and the target level corresponding to the "target first game execution question 2" is 3.

If the data type levels corresponding to the "target first game execution question 1" have levels of 4, and 4, respectively, the target level corresponding to the "target first game execution question 1" is 4.

304. And determining the dimensionality corresponding to each target first game running problem according to the target level, wherein the target level is positively correlated with the dimensionality.

In some embodiments, the target first game play question corresponds to a higher dimension if the target level is higher.

For example, if the target level corresponding to "target first game play question 2" is 3 and the target level corresponding to "target first game play question 1" is 4, the dimension corresponding to "target first game play question 1" is higher than the dimension corresponding to "target first game play question 2".

Referring to fig. 3, 207, the target first game play questions are merged according to the dimensions to determine at least one second game play question.

The determination of the second game play question may be made in the following manner, see fig. 4 for details.

305. At least one highest dimensional target first game play question is determined.

Then, of the "target first game running question 1" and the "target first game running question 2", the "target first game running question 1" is the highest-dimensional target first game running question.

306. And combining at least one target first game running problem with the highest dimensionality and a target first game running problem with the low dimensionality corresponding to the highest dimensionality to determine at least one second game running problem.

For example, the game play data corresponding to the "target first game play question 1" includes the frame rate 26, the platform iOS, and the image quality 2, and the game play data corresponding to the "target first game play question 2" includes the frame rate 26, the platform iOS, the image quality 2, and the scene 1.

In some embodiments, the computer device may determine a plurality of second game running problems, specifically as shown in fig. 5, which is a scene schematic diagram of the merging of the game running problems provided in the embodiments of the present application.

Here, the "second game execution question 1" is obtained by merging the "first game execution question 1" and the "first game execution question 2" up to the "first game execution question 6".

The "second game execution question 2" is obtained by merging the "first game execution question 7", the "first game execution question 8", and the "first game execution question N".

208. And determining the coverage duration, the number of covered people and the historical occurrence frequency corresponding to at least one second game running problem.

In some embodiments, the computer device may determine, according to the game running data corresponding to the second game running problem, the coverage duration, the number of covered people, and the historical occurrence frequency corresponding to the second game running problem.

209. And determining the severity of the corresponding second game running problem according to the coverage duration, the number of covered people and the historical occurrence frequency.

210. A target game play question is determined among the at least one second game play question according to the severity.

In some embodiments, after obtaining the severity corresponding to each second game play question, the computer device may rank the second game play questions according to the severity to obtain a ranking result, then screen out a target number of second game play questions according to the ranking result, and determine the target number of second game play questions as the target game play questions. For example, the second game running question ranked within the top N is determined as the target game running question according to the ranking result.

In some embodiments, after determining the target game execution problem from among the at least one second game execution problem according to the severity, the computer device may further determine game execution data corresponding to the target game execution problem, and then analyze and process the game execution data to solve the target game execution problem.

The computer equipment can also continue to monitor the game running data of the plurality of clients aiming at the target game running problem, so that the target game running problem is solved after enough game running data is collected.

Referring to fig. 6, fig. 6 is a schematic diagram of a second scenario of data processing according to an embodiment of the present disclosure.

After the computer device determines the target game running problem, a plurality of target clients, such as the client 1, the client 2 and the client 3, can be determined according to the game running data corresponding to the target game running problem until the client N, and then the computer device continues to monitor the game running data of the target clients, so that enough game running data is adopted to solve the target game running problem.

In some embodiments, the model of the target device corresponding to each target client may be determined, and if the model of the target device exists in a laboratory, the target client may be removed, and the game running data of other target clients may be continuously monitored.

In the embodiment of the application, the computer device determines abnormal data in the game running data corresponding to each client by acquiring the game running data corresponding to each client, determines a first game running problem corresponding to each client according to the abnormal data corresponding to each client, and determines the duration corresponding to each first game running problem according to the game running data.

And then merging the first game running problems according to the duration to obtain target first game running problems of the target duration, determining the dimensionality corresponding to each target first game running problem according to the game running data, merging the target first game running problems according to the dimensionality, and determining at least one second game running problem.

And finally, determining the coverage time, the number of covered people and the historical occurrence frequency corresponding to the at least one second game running problem, determining the severity of the corresponding second game running problem according to the coverage time, the number of covered people and the historical occurrence frequency, and determining the target game running problem in the at least one second game running problem according to the severity. In the embodiment of the application, the game running problems appearing in the plurality of clients are screened and sorted, so that the representative target game running problems are determined, and the efficiency of detecting and processing the game running problems is improved.

Referring to fig. 7, fig. 7 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present disclosure. The data processing apparatus 400 comprises:

the obtaining module 410 is configured to obtain game running data corresponding to each client.

The first determining module 420 is configured to determine a first game running problem corresponding to each client according to the game running data corresponding to each client.

The first determining module 420 is further configured to determine abnormal data in the game running data corresponding to each client; and determining a first game running problem corresponding to each client according to the abnormal data corresponding to each client.

The sorting module 430 is configured to sort the first game running problem corresponding to each client, and determine at least one second game running problem.

The sorting module 430 is further configured to merge the first game running problem corresponding to each client, and determine at least one second game running problem.

The sorting module 430 is further configured to determine a duration corresponding to each first game running question according to the game running data; merging the first game running problems according to the duration to obtain a target first game running problem of the target duration; and merging the target first game running problems according to the game running data to determine at least one second game running problem.

The sorting module 430 is further configured to determine a plurality of adjacent duration lengths, and a plurality of first game running problems respectively corresponding to the adjacent duration lengths; and merging the first game running problems respectively corresponding to the adjacent duration to obtain the target first game running problem of the target duration.

The sorting module 430 is further configured to determine a dimension corresponding to each target first game running problem according to the game running data; and merging the target first game running problems according to the dimensionality to determine at least one second game running problem.

The sorting module 430 is further configured to determine a data type included in the game running data corresponding to each target first game running question; and determining the dimensionality corresponding to each target first game running problem according to the data type.

The sorting module 430 is further configured to determine a level corresponding to each data type in each target first game running question; determining a target grade corresponding to each target first game running problem according to the grade; and determining the dimensionality corresponding to each target first game running problem according to the target level, wherein the target level is positively correlated with the dimensionality.

The sorting module 430 is further configured to determine at least one highest dimensional target first game play question; and combining at least one target first game running problem with the highest dimensionality and a target first game running problem with the low dimensionality corresponding to the highest dimensionality to determine at least one second game running problem.

The second determining module 440 is configured to determine a severity of the at least one second game running problem, and determine a target game running problem from the at least one second game running problem according to the severity.

The second determining module 440 is further configured to determine a coverage duration, a number of covered people, and a history occurrence frequency corresponding to at least one second game running problem; determining the severity of the corresponding second game running problem according to the coverage duration, the number of covered people and the historical occurrence frequency; a target game play question is determined among the at least one second game play question according to the severity.

The second determining module 440 is further configured to determine a total duration, a total number of covered people, and a total historical occurrence frequency corresponding to all the second game running problems; determining a first ratio of the covering time length to the total duration time, a second ratio of the number of covering people to the total number of covering people, and a third ratio of the historical occurrence frequency to the total historical occurrence frequency; and determining the severity of the second game running problem according to the first ratio, the second ratio and the third ratio.

The second determining module 440 is further configured to rank the at least one second game running problem according to the severity degree to obtain a ranking result; and screening the second game running problems of the target number according to the sorting result, and determining the second game running problems of the target number as the target game running problems.

The second determining module 440 is further configured to determine game running data corresponding to the target game running question; and analyzing and processing the game running data to solve the target game running problem.

Correspondingly, the embodiment of the present application further provides a Computer device, where the Computer device may be a terminal or a server, and the terminal may be a terminal device such as a smart phone, a tablet Computer, a notebook Computer, a touch screen, a game machine, a Personal Computer (PC), a Personal Digital Assistant (PDA), and the like. As shown in fig. 8, fig. 8 is a schematic structural diagram of a computer device according to an embodiment of the present application. The computer apparatus 1000 includes a processor 501 having one or more processing cores, a memory 502 having one or more computer-readable storage media, and a computer program stored on the memory 502 and executable on the processor. The processor 501 is electrically connected to the memory 502. Those skilled in the art will appreciate that the computer device configurations illustrated in the figures are not meant to be limiting of computer devices and may include more or fewer components than those illustrated, or some components may be combined, or a different arrangement of components.

The processor 501 is a control center of the computer apparatus 1000, connects various parts of the entire computer apparatus 1000 using various interfaces and lines, performs various functions of the computer apparatus 1000 and processes data by running or loading software programs and/or modules stored in the memory 502, and calling data stored in the memory 502, thereby performing overall monitoring of the computer apparatus 1000.

In this embodiment of the application, the processor 501 in the computer device 1000 loads instructions corresponding to processes of one or more applications into the memory 502, and the processor 501 runs the applications stored in the memory 502, so as to implement various functions as follows:

obtaining game running data corresponding to each client;

The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.

Optionally, as shown in fig. 8, the computer device 1000 further includes: touch-sensitive display screen 503, radio frequency circuit 504, audio circuit 505, input unit 506 and power 507. The processor 501 is electrically connected to the touch display screen 503, the radio frequency circuit 504, the audio circuit 505, the input unit 506, and the power supply 507, respectively. Those skilled in the art will appreciate that the computer device configuration illustrated in FIG. 8 does not constitute a limitation of the computer device, and may include more or fewer components than illustrated, or some components may be combined, or a different arrangement of components.

The touch display screen 503 can be used for displaying a graphical user interface and receiving an operation instruction generated by a user acting on the graphical user interface. The touch display screen 503 may include a display panel and a touch panel. The display panel may be used, among other things, to display information entered by or provided to a user and various graphical user interfaces of the computer device, which may be made up of graphics, text, icons, video, and any combination thereof. Alternatively, the Display panel may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like. The touch panel may be used to collect touch operations of a user on or near the touch panel (for example, operations of the user on or near the touch panel using any suitable object or accessory such as a finger, a stylus pen, and the like), and generate corresponding operation instructions, and the operation instructions execute corresponding programs. Alternatively, the touch panel may include two parts, a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 501, and can receive and execute commands sent by the processor 501. The touch panel may overlay the display panel, and when the touch panel detects a touch operation thereon or nearby, the touch panel transmits the touch operation to the processor 501 to determine the type of the touch event, and then the processor 501 provides a corresponding visual output on the display panel according to the type of the touch event. In the embodiment of the present application, the touch panel and the display panel may be integrated into the touch display screen 503 to implement input and output functions. However, in some embodiments, the touch panel and the touch panel can be implemented as two separate components to perform the input and output functions. That is, the touch display 503 can also be used as a part of the input unit 506 to implement an input function.

In the embodiment of the present application, a game application is executed by the processor 501 to generate a graphical user interface on the touch display screen 503, where a virtual scene on the graphical user interface includes at least one skill control area, and the skill control area includes at least one skill control. The touch display screen 503 is used for presenting a graphical user interface and receiving an operation instruction generated by a user acting on the graphical user interface.

The rf circuit 504 may be used for transceiving rf signals to establish wireless communication with a network device or other computer device via wireless communication, and for transceiving signals with the network device or other computer device.

Audio circuitry 505 may be used to provide an audio interface between a user and a computer device through speakers, microphones. The audio circuit 505 may transmit the electrical signal converted from the received audio data to a speaker, and convert the electrical signal into a sound signal for output; on the other hand, the microphone converts the collected sound signal into an electrical signal, which is received by the audio circuit 505 and converted into audio data, which is then processed by the audio data output processor 501, and then transmitted to, for example, another computer device via the rf circuit 504, or output to the memory 502 for further processing. Audio circuitry 505 may also include an earbud jack to provide communication of peripheral headphones with the computer device.

The input unit 506 may be used to receive input numbers, character information, or user characteristic information (e.g., fingerprint, iris, facial information, etc.), and generate keyboard, mouse, joystick, optical, or trackball signal inputs related to user settings and function control.

The power supply 507 is used to power the various components of the computer device 1000. Optionally, the power supply 507 may be logically connected to the processor 501 through a power management system, so as to implement functions of managing charging, discharging, power consumption management, and the like through the power management system. The power supply 507 may also include any component including one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.

Although not shown in fig. 8, the computer device 1000 may further include a camera, a sensor, a wireless fidelity module, a bluetooth module, etc., which are not described in detail herein.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

As can be seen from the above, in the computer device provided in this embodiment, the computer device determines the at least one second game running problem by obtaining the game running data corresponding to each client, then determining the first game running problem corresponding to each client according to the game running data corresponding to each client, then sorting the first game running problems corresponding to each client, and finally determining the severity of the at least one second game running problem, and determining the target game running problem in the at least one second game running problem according to the severity. In the embodiment of the application, the game running problems appearing in the plurality of clients are screened and sorted, so that the representative target game running problems are determined, and the efficiency of detecting and processing the game running problems is improved.

It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions or by associated hardware controlled by the instructions, which may be stored in a computer readable storage medium and loaded and executed by a processor.

To this end, the present application provides a computer-readable storage medium, in which a plurality of computer programs are stored, and the computer programs can be loaded by a processor to execute the steps in any data processing method provided by the present application. For example, the computer program may perform the steps of:

obtaining game running data corresponding to each client;

Wherein the storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.

Since the computer program stored in the storage medium can execute the steps in any data processing method provided in the embodiments of the present application, beneficial effects that can be achieved by any data processing method provided in the embodiments of the present application can be achieved, and detailed descriptions are omitted here for the foregoing embodiments.

The foregoing detailed description has provided a data processing method, an apparatus, a storage medium, and a computer device according to embodiments of the present application, and specific examples have been applied in the present application to explain the principles and implementations of the present application, and the descriptions of the foregoing embodiments are only used to help understand the method and the core ideas of the present application; meanwhile, for those skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. A data processing method, comprising:

obtaining game running data corresponding to each client;

the first game running problems corresponding to each client are sorted, and at least one second game running problem is determined;

and determining the severity of the at least one second game running problem, and determining a target game running problem from the at least one second game running problem according to the severity.

2. The data processing method according to claim 1, wherein the sorting the first game running problem corresponding to each client to determine at least one second game running problem comprises:

and combining the first game running problems corresponding to each client to determine at least one second game running problem.

3. The data processing method of claim 2, wherein the merging the first game running problem corresponding to each client to determine at least one second game running problem comprises:

determining the duration corresponding to each first game running problem according to the game running data;

merging the first game running problems according to the duration to obtain a target first game running problem with a target duration;

and merging the target first game running problems according to the game running data to determine at least one second game running problem.

4. The data processing method of claim 3, wherein the merging the first game play question according to the duration to obtain a plurality of target first game play questions of a target duration comprises:

determining a plurality of adjacent duration lengths and the first game running problem corresponding to the adjacent duration lengths respectively;

and merging the first game running problems respectively corresponding to the adjacent continuous durations to obtain a target first game running problem of a target continuous duration.

5. The data processing method of claim 3, wherein said merging the target first game play question according to the game play data to determine at least one second game play question comprises:

determining the dimensionality corresponding to each target first game running problem according to the game running data;

and merging the target first game running problems according to the dimensionality to determine at least one second game running problem.

6. The data processing method of claim 5, wherein the determining the dimension corresponding to each of the target first game play questions according to the game play data comprises:

determining the data type contained in the game running data corresponding to each target first game running problem;

and determining the dimensionality corresponding to each target first game running problem according to the data type.

7. The data processing method of claim 6, wherein the determining a dimension corresponding to each of the target first game play questions according to the data type comprises:

determining a grade corresponding to each data type in each target first game running problem;

determining a target grade corresponding to each target first game running problem according to the grade;

and determining the dimensionality corresponding to each target first game running problem according to the target grade, wherein the target grade is positively correlated with the dimensionality.

8. The data processing method of claim 5, wherein said merging the target first game play questions according to the dimensions to determine at least one second game play question comprises:

determining at least one highest dimensional of the target first game play question;

and combining the target first game running problem with at least one highest dimension and the target first game running problem with a low dimension corresponding to the highest dimension to determine at least one second game running problem.

9. The data processing method of any one of claims 1 to 8, wherein determining a severity of the at least one second game play question and determining a target game play question among the at least one second game play question according to the severity comprises:

determining the coverage duration, the number of covered people and the historical occurrence frequency corresponding to the at least one second game running problem;

determining the severity of the corresponding second game running problem according to the coverage duration, the number of covered people and the historical occurrence frequency;

and determining a target game running problem from the at least one second game running problem according to the severity.

10. The data processing method of claim 9, wherein determining the severity of the second game play problem according to the coverage duration, the number of covered people, and the historical occurrence frequency comprises:

determining the total duration, the total number of covered people and the total historical occurrence frequency corresponding to all the second game running problems;

determining a first ratio of the coverage duration to the total duration, a second ratio of the number of covered people to the total number of covered people, and a third ratio of the historical frequency of occurrence to the total historical frequency of occurrence;

and determining the severity of the second game running problem according to the first ratio, the second ratio and the third ratio.

11. The data processing method of claim 9, wherein determining a target game play question among the at least one second game play question based on the severity comprises:

ranking the at least one second game running problem according to the severity to obtain a ranking result;

and screening out the second game running problems of the target quantity according to the sorting result, and determining the second game running problems of the target quantity as the target game running problems.

12. The data processing method of any of claims 1-8, wherein after determining a severity of the at least one second game play question and determining a target game play question among the at least one second game play question based on the severity, the method further comprises:

determining game running data corresponding to the target game running problem;

and analyzing and processing the game running data to solve the target game running problem.

13. The data processing method according to any one of claims 1 to 8, wherein the determining a first game running question corresponding to each client according to the game running data corresponding to each client includes:

determining abnormal data in game running data corresponding to each client;

and determining a first game running problem corresponding to each client according to the abnormal data corresponding to each client.

14. A data processing apparatus, comprising:

the arranging module is used for arranging the first game running problems corresponding to each client and determining at least one second game running problem;

15. A computer-readable storage medium storing a plurality of instructions adapted to be loaded by a processor to perform the steps of the data processing method according to any one of claims 1 to 13.

16. A computer arrangement comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the data processing method according to any of claims 1-13 when executing the program.