KR20190112909A - Error detection apparatus for distinguishing between system error and service error and method thereof - Google Patents

Abstract

The present specification discloses an error detection apparatus and method capable of monitoring whether an error occurs in real time and the amount of error occurrence. An error detection apparatus according to the present specification may include: a log data collection part for collecting the log data of a user; an error data classification part for classifying the error data from the log data; and a graph generation part for generating graph information on the number of real-time errors based on the error data.

Description

Error detection apparatus for distinguishing between system error and service error and method thereof

The present invention relates to an error detecting apparatus and a method thereof, and more particularly, to an error detecting apparatus and a method for searching for a system error and a service error.

Web Application Server (WAS) is a software engine that runs applications on your computer or device over the Internet. The web application server performs dynamic server content and is distinguished from a general web server. The web application server is executed like a database server.

The basic function of the web application server is to i) provide program execution environment and database connection functions, ii) manage multiple transactions, and iii) perform business logic to handle tasks. In particular, in managing multiple transactions, it may monitor CPU and memory usage, analyze statistical data, or analyze performance and errors.

Patent Publication No. 10-1468601, (2014.11.27)

An object of the present specification is to provide an error detection apparatus and method capable of monitoring whether an error occurs in real time and an error occurrence amount.

The present specification is not limited to the above-mentioned task, and other tasks not mentioned will be clearly understood by those skilled in the art from the following description.

Error detection apparatus according to the present specification for solving the above problems, the log data collection unit for collecting the log data of the user; An error data classification unit that classifies the error data from the log data; And a graph generator for generating graph information on the number of real-time errors based on the error data.

According to one embodiment of the present specification, the error data classification unit may classify and classify a system error and a service error.

According to one embodiment of the present specification, the response time classifier further classifies response time data having a preset reference time or more from the load data; and the graph generator includes a real time response time based on the response time data. You can create graph information about.

According to the exemplary embodiment of the present specification, the graph generator may generate the graph information on the real time error number by overlapping the past graph generated at the same time.

According to one embodiment of the present specification, the graph generator may display only information regarding a specific error by an external input.

Error detection method according to the present specification for solving the above problems, (a) a log data collection unit collecting the log data of the user; (b) the error data classification unit classifying the error data in the log data; And (c) a graph generator generating graph information on the number of real-time errors based on the error data.

According to one embodiment of the present specification, step (b) may be a step of classifying the error data classifying unit and the system error by classifying the error.

According to an embodiment of the present disclosure, the step (b) further includes the response time classifier classifying the response time data having a preset reference time or more from the load data, and the step (c) may include the graph generating unit. The method may include generating graph information on a real time response time based on the response time data.

According to one embodiment of the present specification, step (c) may be a step of generating, by the graph generator, superimposed graph information on the number of real-time errors on a past graph generated at the same time.

According to one embodiment of the present specification, step (c) may be a step in which the graph generator displays only information regarding a specific error by an external input.

The error detection method according to the present specification may be implemented in the form of a computer program which is written to perform each step of the error detection method in a computer and recorded in a computer-readable recording medium.

Other specific details of the invention are included in the detailed description and drawings.

According to an aspect of the present disclosure, it is possible to monitor the error occurrence amount in real time. In particular, unlike the prior art, which analyzes only existing system errors, it is possible to cope with cases of non-technical errors by monitoring the system errors and service errors separately.

According to another aspect of the present specification, it is possible to monitor the amount of error compared to the amount of past error, the administrator can intuitively understand whether the amount of the current error is within the normal range.

Effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the following description.

1 is a block diagram schematically showing the configuration of an error detection apparatus according to the present specification.
2 is an exemplary diagram of error-related data generated by the graph generator according to the present specification.
3 is an exemplary view of checking an error of a specific period by dragging a mouse.
4 is an exemplary view of data compared to the previous day related to response time.
5 to 9 are exemplary views of a process of analyzing and processing an error by the error detecting apparatus according to the present specification.
10 is a flowchart schematically illustrating an error detection method according to the present specification.

Advantages and features of the invention disclosed herein, and methods of achieving them will be apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present disclosure is not limited to the embodiments disclosed below, but may be implemented in various forms, and the present embodiments are merely provided to make the disclosure of the present disclosure complete, and those of ordinary skill in the art to which the present disclosure belongs. It is provided to fully inform the skilled person (hereinafter, "the person in charge") the scope of the present specification, the scope of the present specification is defined only by the scope of the claims.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the scope of the present disclosure. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, "comprises" and / or "comprising" does not exclude the presence or addition of one or more other components in addition to the mentioned components. Like reference numerals refer to like elements throughout, and "and / or" includes each and all combinations of one or more of the mentioned components. Although "first", "second", etc. are used to describe various components, these components are of course not limited by these terms. These terms are only used to distinguish one component from another. Therefore, of course, the first component mentioned below may be a second component within the technical spirit of the present invention.

Unless otherwise defined, all terms used in the present specification (including technical and scientific terms) may be used in a sense that can be commonly understood by those skilled in the art to which this specification belongs. In addition, terms that are defined in a commonly used dictionary are not ideally or excessively interpreted unless they are specifically defined clearly.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram schematically showing the configuration of an error detection apparatus according to the present specification.

Referring to FIG. 1, the error detecting apparatus 100 according to the present specification may include a log data collecting unit 110, an error data classifying unit 120, and a graph generating unit 130.

The log data collection unit 110 may collect log data of the user. The criteria for collecting the log data may be hits, page views, sessions, visitors, and the like. 'Hit' refers to the number of files connected when a visitor visits a website, and refers to the number of all files, such as graphics and HTML, contained within a single page. '' Refers to the number of times the web browser downloaded HTML documents in HTML. '' Refers to the state until one visitor accesses a website and leaves another site. How you measure sessions depends on how you identify visitors and how you measure how long a visitor spends on your site. Visitors are usually identified using the access IP address, which is considered another session if they reconnect within a certain time. However, if the visitor does not use a fixed IP, there is a concern that the same visitor may be divided into different sessions, or other visitors may be mistaken for the same session. The user who accesses the website is called '', and it is called a `` unique visitor '' especially when it recognizes a person who is not a computer. Visitors are identified by using a web browser's cookie or accessing IP address. In the case of using cookies, measurement error may occur according to the user's web browser setting, and measurement by access IP address is difficult because accurate errors may be distinguished between sessions of the same user in the case of dynamic IP. Duration Time is a measure of how long a visitor has stayed on a particular website or page. A long visit may mean that you are interested in the content, but if there is a problem with a website or page, a similar phenomenon appears and needs to be carefully analyzed. The above contents are only examples of criteria for collecting log data, and are not limited in interpreting the error detecting apparatus 100 according to the present specification.

The error data classification unit 120 may classify the error data from the log data.

According to one embodiment of the present specification, the error data classification unit 120 may classify and classify a system error and a service error. The system error is a failure in responding to a user's request due to a problem in the system itself. On the other hand, the service error is a case in which the response provided by the user in response to the user's request is preset in the system, but the response does not provide the service.

For example, assume that there are 100 new member subscribers in the system. It is assumed that the 100 new members have data stored as members in the personnel system, but the portal system is missing information on the new members due to synchronization problems. At this time, when the new subscriber attempts to log in, the portal system recognizes as an unregistered user and sends a message indicating that the login is not allowed. In this case, the system error is normal and the system error does not apply. On the other hand, since a normally subscribed member is not provided with the service, it may correspond to a service error. The error data classification unit 120 according to the present specification may classify and classify the system error and the service error.

The graph generator 130 may generate graph information on the number of real-time errors based on the error data.

2 is an exemplary diagram of error-related data generated by the graph generator according to the present specification.

Referring to FIG. 2, four graphs can be seen. The graph at the bottom left is a graph of 'disorder caused by user'. In other words, it can be said that the graph about the service error. The graph at the bottom right is a graph of 'failure caused by the system'. In other words, it is a graph of system error.

The error detection apparatus 100 according to the present disclosure may further include a response time classifier (not shown) for classifying response time data having a preset reference time or more from the load data.

In this case, the graph generator 130 may generate graph information on a real time response time based on the response time data.

Referring to the upper right of FIG. 2, it is a graph of a response having a delay time of 3 seconds or more (an example of a reference time).

The upper left corner of Fig. 2 is a graph showing the three situations at the same time. Blue indicates a service error, red indicates a system error, and purple indicates a sum of service error and system error.

The graph generator 130 according to the present disclosure may generate graph information on the number of real-time errors by overlapping a past graph generated at the same time.

Referring back to FIG. 2, it can be seen that gray areas are displayed as a background of each graph. The gray area is a past graph generated at the same time, and may display past data according to various criteria such as an average of past data, a maximum value of past data, a data corresponding to a yesterday date, and an average value of data corresponding to a specific period. have.

Meanwhile, the graph generator 130 may display only information regarding a specific error by an external input.

3 is an exemplary view of checking an error of a specific period by dragging a mouse.

On the other hand, the error detection apparatus 100 according to the present specification may display data on the increase and decrease of the data compared to the previous day.

4 is an exemplary view of data compared to the previous day related to response time.

As illustrated in FIG. 4, by comparing the date data for the same time zone, it is possible to check the quality level of the processing service through the number and rate of increase and decrease of the service response speed.

In addition, the error detecting apparatus 100 according to the present specification may reflect various operational information such as N / W, system information, DB information, middleware, etc., and when a singular point occurs, detailed diagnosis and analysis of the cause may be performed.

5 to 9 are exemplary views of a process of analyzing and processing an error by the error detecting apparatus according to the present specification.

Referring to FIG. 5, data about the type of error and the number of occurrences may be checked. In this case, yellow indicates a new type error that did not exist previously. If one of the displayed data is selected, the detailed screen of the error can be displayed. In the example shown in FIG. 5, the error data displayed at the top is selected.

Referring to FIG. 6, as a detailed description of an error, it is possible to confirm which section, which user actually requested the service, and real-time processing of which item was answered by an input value of which content in the field. Do. For this purpose, the top error among the data shown in FIG. 6 was selected.

Referring to FIG. 7, it can be seen that a detailed analysis screen of the selected error is displayed. Referring to FIG. 8, an error may be immediately confirmed, and referring to FIG. 9, an input text may also be immediately checked.

Hereinafter, a method of searching for an error using the above-described error detecting apparatus 100 will be described. However, in describing the error search method according to the present specification, repeated description of each configuration of the error search apparatus 100 described above will be omitted.

10 is a flowchart schematically illustrating an error detection method according to the present specification.

Referring to FIG. 10, in step S10, the log data collecting unit 110 may collect log data of a user. Next, in step S20, the error data classification unit 120 may classify the error data from the log data. Next, in step S30, the graph generating unit 130 may generate graph information on the real-time error number based on the error data. The process then returns to step S10 to search for errors in real time while the system is operating.

According to one embodiment of the present specification, in operation S20, the error data classification unit may classify and classify a system error and a service error.

According to one embodiment of the present specification, in step S20, the response time classifying unit may further classify the response time data having the reference time or more preset in the load data. In this case, in step S30, the graph generator may generate graph information on the real time response time based on the response time data.

According to an exemplary embodiment of the present specification, step S30 may generate the graph generation unit by superimposing graph information on the number of real-time errors on the past graph generated at the same time.

According to an embodiment of the present disclosure, in step S30, the graph generator may display only information regarding a specific error by an external input.

On the other hand, the error detection method according to the present specification may be implemented in the form of a computer program that is written to perform each step in the computer and recorded in a computer-readable recording medium.

The computer program described above includes C, C ++, JAVA, and machine language that the computer's processor (CPU) can read through the computer's device interface in order for the computer to read the program and execute the methods implemented as the program. It may include a code (Code) coded in a computer language such as. Such code may include functional code associated with a function or the like that defines the necessary functions for executing the methods, and includes control procedures related to execution procedures necessary for the computer's processor to execute the functions according to a predetermined procedure. can do. In addition, the code may further include memory reference code for additional information or media required for the computer's processor to execute the functions at which location (address address) of the computer's internal or external memory should be referenced. have. Also, if the processor of the computer needs to communicate with any other computer or server remotely in order to execute the functions, the code may be used to communicate with any other computer or server remotely using the communication module of the computer. It may further include a communication related code for whether to communicate, what information or media should be transmitted and received during communication.

The stored medium is not a medium for storing data for a short time such as a register, a cache, a memory, but semi-permanently, and means a medium that can be read by the device. Specifically, examples of the storage medium include, but are not limited to, a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like. That is, the program may be stored in various recording media on various servers to which the computer can access or various recording media on the computer of the user. The media may also be distributed over network coupled computer systems so that the computer readable code is stored in a distributed fashion.

While the embodiments of the present disclosure have been described with reference to the accompanying drawings, a person skilled in the art to which the present disclosure belongs may practice the present disclosure in other specific forms without changing the technical spirit or essential features. I can understand that. Therefore, it should be understood that the embodiments described above are exemplary in all respects and not restrictive.

100: error search device
110: log data collection unit
120: error data classification unit
130: graph generator

Claims (11)

Log data collection unit for collecting the log data of the user;
An error data classification unit that classifies the error data from the log data; And
And a graph generator for generating graph information on the number of errors in real time based on the error data. The method according to claim 1,
The error data classification unit classifies and classifies a system error and a service error. The method according to claim 1,
And a response time classifying unit classifying response time data having a preset reference time or more from the load data.
And the graph generator generates graph information on a real-time response time based on the response time data. The method according to claim 1,
The graph generation unit, the error detection apparatus for generating a graph information on the real-time error number is superimposed on the past graph generated at the same time. The method according to claim 1,
The graph generator, the error detection device, characterized in that for displaying only information about a specific error by an external input. (a) a log data collecting unit collecting log data of a user;
(b) the error data classification unit classifying the error data in the log data; And
(c) a graph generator generating graph information on the number of real-time errors based on the error data. The method according to claim 6,
In the step (b), the error data classification unit classifies the system error from the service error and classifies the error. The method according to claim 6,
The step (b) further includes the response time classifier classifying the response time data having a preset reference time or more from the load data,
In the step (c), the graph generator generates graph information on a real-time response time based on the response time data. The method according to claim 6,
Wherein (c), the graph generating unit is a step of generating a graph information about the number of real-time error superimposed on the past graph generated at the same time generating error detection method. The method according to claim 6,
In the step (c), the graph generation unit displays only information on a specific error by an external input. A computer program recorded on a computer-readable recording medium which is written to perform the steps of the error detection method according to any one of claims 6 to 10 in a computer.

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