CN104346365A - Device and method for determining specific service associated logs - Google Patents
Device and method for determining specific service associated logs Download PDFInfo
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- CN104346365A CN104346365A CN201310325577.5A CN201310325577A CN104346365A CN 104346365 A CN104346365 A CN 104346365A CN 201310325577 A CN201310325577 A CN 201310325577A CN 104346365 A CN104346365 A CN 104346365A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/1734—Details of monitoring file system events, e.g. by the use of hooks, filter drivers, logs
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/069—Management of faults, events, alarms or notifications using logs of notifications; Post-processing of notifications
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Abstract
The invention relates to a device and a method for determining specific service associated logs. The method includes the steps: generating one or more links associated with a specific service during execution of the specific service, wherein the specific service has one or more service determinant attributes; aiming at each link associated with the specific service, generating one or more log correspondingly in one or more called systems, wherein logs associated with the same link have same identifications, and in each link, at least one log comprises at least one service determinant attributes in the one or more service determinant attributes; on the basis of the identifications and the service determinant attributes contained in at least one log in each link, determining associated logs of all links associated with the specific service. By the device and the method for determining specific service associated logs, the associated logs can be determined from a great quantity of logs for subsequent processing on the basis of the service.
Description
Technical field
The application relates to data processing field, relates more specifically to a kind ofly determine the method and apparatus that associate daily record relevant to specific transactions.
Background technology
In internet, applications, all produce the data of magnanimity every day, comprising the massive logs produced, the daily record of single business is dispersed on each station server, and on every station server, the daily record of different business all mixes and is positioned in same journal file.When this journal file is had no idea daily record to be separated according to business, cannot fast and effeciently investigate business reason of makeing mistakes.And the comparison of historical record is carried out in the daily record also specific transactions cannot be correlated with.Such as, the guardian of system A, in integration testing process, finds that calling system B dishes out unknown abnormal, can only go the help of the guardian seeking system B.System B notes abnormalities and to be transmitted by system C subsequently, just needs again the guardian going for system C again; Finally note abnormalities is caused by system D.So all affected members are related on thread, communication cost is huge.Existing method to be made mistakes reason owing to adopting the artificial mode business of searching, and efficiency is very low, and implement difficulty very large, often general development and testing personnel do not possess this ability.Meanwhile, even if the personnel that investigate a matter be familiar with, arrange out the historical variations of business execution route, be also very difficult.
Therefore, need a kind of method of data processing, pass through the method, can determine relevant to specific transactions to associate daily record from massive logs data, in other words, from massive logs data, the associate daily record relevant to specific transactions is separated, thus can express delivery effectively business reason of makeing mistakes be investigated, and can historical record be contrasted, situation of change of checking service path etc.
Summary of the invention
Therefore, the object of the application is that providing a kind of determines the method and apparatus that associate daily record relevant to specific transactions, to overcome above-mentioned defect.According to the embodiment of the application aspect, provide a kind of and determine the method and apparatus that associate daily record relevant to specific transactions.
According to the embodiment of the application aspect, provide a kind of and determine the method that associate daily record relevant to specific transactions.The method can comprise the steps: to be performed the period generation one or more links relevant to this specific transactions at specific transactions, and wherein, described specific transactions has one or more business determinant attribute; For in each link relevant to specific transactions, one or more daily record is correspondingly generated in invoked one or more system, wherein, the daily record of being correlated with same link has identical mark, and in each link, at least one log packet is containing at least one the business determinant attribute in described one or more business determinant attribute; And the business determinant attribute to comprise based on described mark and based at least one daily record in each link, that determines all links relevant to described specific transactions by pre-defined algorithm associates daily record.
According to the embodiment of the application, described pre-defined algorithm can be greedy algorithm in the method.
According to the embodiment of the application, in the method, the step generating one or more daily record in invoked one or more system can comprise further: for each link, is initiating to generate described relevant to link described mark in the system called first.
According to the embodiment of the application, in the method, the step generating one or more daily record in invoked one or more system may further include: for each link, and the described mark generated in the system initiation at this link called first is to the invoked system transmission of the next one.
According to the embodiment of the application, in the method, produce the one or more links relevant to this specific transactions may further include: synchronously or asynchronously produce the one or more links relevant with this specific transactions.
According to the embodiment of the application, the method may further include: be further processed the daily record that associates of all links relevant to described specific transactions.
According to the embodiment of another aspect of the application, provide a kind of and determine the device that associate daily record relevant to specific transactions.This device can comprise: one or more link generation module, and produce the one or more links relevant to this specific transactions for being performed period at specific transactions, wherein, described specific transactions has one or more business determinant attribute; One or more daily record generation module, for in each link relevant to specific transactions, one or more daily record is correspondingly generated in invoked one or more system, wherein, the daily record of being correlated with same link has identical mark, and in each link, at least one log packet is containing at least one the business determinant attribute in described one or more business determinant attribute; And association daily record determination module, for the business determinant attribute comprised based on described mark and based at least one daily record in each link, that determines all links relevant to described specific transactions by pre-defined algorithm associates daily record.
According to the embodiment of the application, this device may further include: identifier generation module, in generating daily record in the system called first at each link, generate described relevant to link described mark.
According to the embodiment of the application, this device may further include: execution module, for being further processed the daily record that associates of all links relevant to described specific transactions.
Compared with prior art, according to the technical scheme of the application, by the daily record on the link relevant to specific transactions with link identification and the business determinant attribute of specific transactions, thus determine relevant to specific transactions to associate daily record, and then optimize the data processing of massive logs and thus the management and use that associate daily record relevant to business can be realized.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide further understanding of the present application, and form a application's part, the schematic description and description of the application, for explaining the application, does not form the improper restriction to the application.In the accompanying drawings:
Fig. 1 shows the process flow diagram that associate the method for daily record relevant to specific transactions according to the determination of the embodiment of the present application; And
Fig. 2 shows the block diagram that associate the device of daily record relevant to specific transactions according to the determination of the embodiment of the present application.
Embodiment
The main thought of the application is, jointly safeguards a unique communication mark by the transmit leg system when calling and take over party's system, associates the link between the service of single call difference; By the separation by the local thread daily record on a link, associate the machine daily record of single call.By business determinant attribute, the daily record of repeatedly calling of this business is associated.Thus carried out formaing classification from operational angle to daily record, make investigation business personnel can in a place, see the daily record of this business in difference service, and see and call sequential chart between different service, thus contribute to quick position mistake occurrence cause.
For making the object of the application, technical scheme and advantage clearly, below in conjunction with the application's specific embodiment and corresponding accompanying drawing, technical scheme is clearly and completely described.Obviously, described embodiment is only some embodiments of the present application, instead of whole embodiments.Based on the embodiment in the application, those of ordinary skill in the art are not making the every other embodiment obtained under creative work prerequisite, all belong to the scope of the application's protection.
The process flow diagram that associate the method for daily record relevant to specific transactions according to the determination of the embodiment of the present application is shown with reference to figure 1, Fig. 1.
In step 101 place, be performed the period generation one or more links relevant to this specific transactions at specific transactions, wherein, described specific transactions has one or more business determinant attribute.
For example, be performed period to produce the one or more links relevant to this specific transactions can be such as user to pay at one at specific transactions and webpage is operated by execution one and the calling of a series of threads on this payment webpage backstage of causing.And this business can comprise multiple service attribute, this business and other traffic differentiation cannot come by some service attributes wherein, and such attribute is called the non-key attribute of business; And wherein this business and other traffic differentiation can come by other service attributes, such attribute is called business determinant attribute.What the application paid close attention to is this business determinant attribute.Continue to use example above, the business determinant attribute of this payment transaction can be such as Transaction Identification Number, browser session, order number etc.Again such as, a more general business example is register.User inputs username and password and the calling of a series of threads on the backstage of causing after clicking login button.And the browser session etc. of the business determinant attribute of this specific transactions when being such as user name, password, register.The one or more links relevant to this specific transactions are created during this specific transactions of login is performed.And each link comprise this link process server on related linear program.Such as, login system A may need to know that whether password is consistent with user name, and needs to know that whether the IP address performing register is consistent with former IP address.At this time such as may relate to two links: a link may call password checking system B, the thread on this password checking system B checks that whether password is consistent with user name; Another link may call IP address management system C, the thread on this IP address management system C by check this user login IP place whether with before consistent.
Should be appreciated that practical situation may be more complicated than above-mentioned example, such as physical link is more, the system related to and thread are also more, and more system relates to multiple link etc., but in order to not fuzzy the application, describes the application for the example of above-mentioned two links.
After the one or more link of generation, in step 102 place, for in each link relevant to specific transactions, one or more daily record is correspondingly generated in invoked one or more system, wherein, the daily record of being correlated with same link has identical mark, and in each link, at least one log packet is containing at least one the business determinant attribute in described one or more business determinant attribute.More specifically, invoked system can be distributed system, thus, when calling a distributed system, one or more servers that this distributed system is relevant may be related to, thus correspondingly on one or more servers that this is relevant, generate one or more daily record.
According to the embodiment of the application, the step generating one or more daily record in invoked one or more system may further include: for each link, is initiating to generate described relevant to link described mark in the system called first.
And, the step generating one or more daily record in invoked one or more system may further include: for each link, and the described mark generated in the system initiation at this link called first is to the invoked system transmission of the next one.
Thus one or more daily records of being correlated with same link are all with identical mark.
Such as, the first system specifically, on first link relevant to specific transactions produce when calling second system the first link first mark and to second system transmission; If this second system also will call the 3rd system, then can not produce mark again, the substitute is only by this first mark to the 3rd system transmission.Further, in this first link, in invoked one or more system (first, second and the 3rd system), correspondingly generate one or more daily record, and the daily record that system involved on the first link produces is all with this first mark.Should be appreciated that, system involved on each link can be one or more system.
In like manner, on second link relevant to specific transactions Quaternary system system produce when calling the 5th system the second link second mark and to the 5th system transmission; If the 5th system also will call the 6th system, then can not produce mark again, the substitute is only by this second mark to the 6th system transmission.Further, in this second link, in invoked one or more system (the 4th, the 5th and the 6th system), correspondingly generate one or more daily record, and the daily record that system involved on the second link produces is all with this second mark.
In other words, daily record on the same link has identical mark, and in each link, at least one log packet is containing at least one the business determinant attribute in described one or more business determinant attribute.
Should be appreciated that, specific transactions can relate to one or more link, and system involved on each link can be one or more system.
It should be pointed out that on the link relevant to this business when certain specific transactions performs, different link may relate to identical system (the first link in such as above-mentioned registering service example and the secondary scene all relate to login system), also may relate to different systems.
For example, still for registering service, login system A produces the first mark of the first link when calling password checking system B, thus the daily record that system involved on the first link produces is all with this first mark.Login system A produces the second mark of the second link when calling IP address verification system C, thus the daily record that system involved on the second link produces is all with this second mark.And at least one log packet in the daily record on each link is containing at least one the business determinant attribute in described one or more business determinant attribute.Such as, at least one daily record on the first link may comprise " password " attribute; At least one daily record on second link may comprise " user name " attribute.Like this.
After producing the daily record with mark, in step 103 place, the business determinant attribute comprised based on link identification and based at least one daily record in each link, that determines all links relevant to described business by pre-defined algorithm associates daily record.Preferably, described pre-defined algorithm is greedy algorithm.
Specifically, based on link identification, can determine which daily record belongs to same link.Such as, the daily record that the daily record with the first mark is the daily record of the first link, the daily record with the second expression is the second link, the daily record with the 3rd mark are the daily record of the 3rd link.Wherein the first link, the second link are relevant to specific transactions, and the 3rd link and specific transactions have nothing to do.Correlativity between link judges like this: need to determine the link relevant to specific transactions (namely leaning on the business that business determinant attribute is distinguished), business determinant attribute 1 and its value of this specific transactions are so just got, based on this " first " business determinant attribute 1, remove other links of comparison, determine the first link have this business determinant attribute 1 and also value equal with the value of the business determinant attribute 1 of this specific transactions, therefore determine that the first link is relevant to this specific transactions.Then other business determinant attributes of the first link and value thereof are also acquired out (such as business determinant attribute 2) (in order to avoid the technical scheme of fuzzy or complicated the application, this example being simplified).Suppose that the second link has business determinant attribute 2 and the value of the determinant attribute 2 of value also with the first link is equal, so determine that the second link is also relevant with this specific transactions, then other business determinant attributes (such as business determinant attribute 3) of the second attribute are obtained out, with attribute 2, attribute 1 is put together.Suppose the 3rd link, but have business determinant attribute 1 difference of value and business determinant attribute 1 above, so it is just considered to not be the link associated with this specific transactions.Then, based on the business determinant attribute comprised in same link daily record, that determines the first and second links relevant to specific transactions by pre-defined algorithm associates daily record.Such as, that can determine first and second links relevant to specific transactions from the daily record of system full dose associates daily record.
Such as, first link relevant to the first business relates to the first mark ID1, and involved the first system comprises two daily records; Second system comprises two daily records; 3rd system comprises three daily records; And second log packet wherein in second system is containing business determinant attribute " password ", first log packet wherein in the 3rd system is containing business determinant attribute " user name ".Such as, second link relevant to the first business relates to the second mark ID2, and involved Quaternary system turnkey is containing three daily records; 5th system comprises two daily records; 6th system comprises a daily record; And first log packet wherein in Quaternary system system is containing business determinant attribute " user name " and " IP address ".Such as, three link relevant to the second business relates to the 3rd and identifies ID3, and the 7th involved system comprises a daily record; 8th system comprises two daily records; And first log packet wherein in the 8th system is containing business determinant attribute " order number ".
By greedy algorithm, business determinant attribute " password " can be expanded to " password " " user name ", " IP address ".Thus the daily record of business determinant attribute after having expansion is defined as relevant to this specific transactions associate daily record.In other words, will the first system, second system and the 3rd system be defined as relevant to this specific transactions associating daily record with the daily record with the second mark ID2 in the first mark daily record of ID1 and Quaternary system system, the 5th system and the 6th system.And simultaneously the 7th be not confirmed as relevant to this specific transactions associating daily record with the daily record of mark ID3 with in the 8th system.By the method for the application, can determine relevant to specific transactions to associate daily record, thus associate in daily record massive logs from diversity system in each system relevant to specific transactions is separated, for further process.
Business determinant attribute is carried out the algorithm expanded or mode is not limited to greedy algorithm.Business determinant attribute also can be undertaken expanding by other algorithms thus make the business determinant attribute set after expanding relevant to this specific transactions by the application.
According to the embodiment of the application, generate the one or more links relevant to this specific transactions and can comprise further: synchronously or asynchronously generate the one or more links relevant with this specific transactions.
Such as, first link relevant to the first business relates to the first mark ID1, and involved the first system comprises two daily records; Second system comprises two daily records; 3rd system comprises three daily records; And second log packet wherein in second system is containing business determinant attribute " password ", first log packet wherein in the 3rd system is containing business determinant attribute " user name ".Thread now involved by the first link terminates.The business determinant attribute of the first link is " password " and " user name ".After spending the some time, initiate the second link relate to the second mark ID2 by second system, involved second system comprises three daily records; Quaternary system turnkey is containing a daily record; 5th system comprises two daily records; And first log packet wherein in the 3rd system is containing business determinant attribute " Transaction Identification Number ", first log packet wherein in the 5th system is containing business determinant attribute " user name ".Now the business determinant attribute of the second link is " user name " and " Transaction Identification Number ".If now " user name " of the first link and " user name " of the second link is consistent, then the daily record of these two links can be defined as relevant to this specific transactions associating daily record.
So far, the method associating daily record that the determination of the embodiment of the present application is relevant to specific transactions has been described.
According to the embodiment of the application, also provide a kind of and determine the device 200 that associate daily record relevant to specific transactions, as shown in Figure 2, Fig. 2 is the block diagram that associates the device of daily record relevant to specific transactions according to the determination of the embodiment of the present application.This equipment can comprise: link generation module 210, daily record generation module 220 and association daily record determination module 230.
According to the device of the embodiment of the present application, one or more link generation module 210 may be used for being performed the period generation one or more links relevant to this specific transactions at specific transactions, and wherein, described specific transactions has one or more business determinant attribute.
And, according to the device of the embodiment of the present application, one or more daily record generation module 220 may be used for in each link relevant to specific transactions, one or more daily record is correspondingly generated in invoked one or more system, wherein, the daily record of being correlated with same link has identical mark, and in each link, at least one log packet is containing at least one the business determinant attribute in described one or more business determinant attribute.
Association daily record determination module 230 may be used for based on described mark and the business determinant attribute comprised based at least one daily record in each link, and that determines all links relevant to described specific transactions by pre-defined algorithm associates daily record.Wherein, described pre-defined algorithm is greedy algorithm.
According to the device of the embodiment of the present application, may further include: identifier generation module, in this module may be used for generating daily record in the system called first at each link, generate described relevant to link described mark.
According to the device of the embodiment of the present application, may further include: execution module, for being further processed the daily record that associates of all links relevant to described specific transactions
The function realized due to the device of the present embodiment is substantially corresponding to the embodiment of the method shown in earlier figures 1, therefore not detailed part in the description of the present embodiment, see the related description in previous embodiment, can not repeat at this.
In one typically configuration, computing equipment comprises one or more processor (CPU), input/output interface, network interface and internal memory.
Internal memory may comprise the volatile memory in computer-readable medium, and the forms such as random access memory (RAM) and/or Nonvolatile memory, as ROM (read-only memory) (ROM) or flash memory (flashRAM).Internal memory is the example of computer-readable medium.
Computer-readable medium comprises permanent and impermanency, removable and non-removable media can be stored to realize information by any method or technology.Information can be computer-readable instruction, data structure, the module of program or other data.The example of the storage medium of computing machine comprises, but be not limited to phase transition internal memory (PRAM), static RAM (SRAM), dynamic RAM (DRAM), the random access memory (RAM) of other types, ROM (read-only memory) (ROM), Electrically Erasable Read Only Memory (EEPROM), fast flash memory bank or other memory techniques, read-only optical disc ROM (read-only memory) (CD-ROM), digital versatile disc (DVD) or other optical memory, magnetic magnetic tape cassette, tape magnetic rigid disk stores or other magnetic storage apparatus or any other non-transmitting medium, can be used for storing the information can accessed by computing equipment.According to defining herein, computer-readable medium does not comprise temporary computer readable media (transitory media), as data-signal and the carrier wave of modulation.
Also it should be noted that, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, commodity or equipment and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, commodity or equipment.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, commodity or the equipment comprising described key element and also there is other identical element.
It will be understood by those skilled in the art that the embodiment of the application can be provided as method, system or computer program.Therefore, the application can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the application can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disk memory, CD-ROM, optical memory etc.) of computer usable program code.
The foregoing is only the embodiment of the application, be not limited to the application.To those skilled in the art, the application can have various modifications and variations.Any amendment done within all spirit in the application and principle, equivalent replacement, improvement etc., within the right that all should be included in the application.
Claims (10)
1. determine the method that associate daily record relevant to specific transactions, it is characterized in that, comprising:
Be performed the period generation one or more links relevant to this specific transactions at specific transactions, wherein, described specific transactions has one or more business determinant attribute;
For in each link relevant to specific transactions, one or more daily record is correspondingly generated in invoked one or more system, wherein, the daily record of being correlated with same link has identical mark, and in each link, at least one log packet is containing at least one the business determinant attribute in described one or more business determinant attribute; And
The business determinant attribute comprised based on described mark and based at least one daily record in each link, that determines all links relevant to described specific transactions by pre-defined algorithm associates daily record.
2. method according to claim 1, is characterized in that, described pre-defined algorithm is greedy algorithm.
3. method according to claim 1, it is characterized in that, the step generating one or more daily record in invoked one or more system comprises further: for each link, is initiating to generate described relevant to link described mark in the system called first.
4. method according to claim 3, it is characterized in that, the step generating one or more daily record in invoked one or more system comprises further: for each link, and the described mark generated in the system initiation at this link called first is to the invoked system transmission of the next one.
5. method according to claim 1, is characterized in that, produces the one or more links relevant to this specific transactions and comprises further: synchronously or asynchronously produce the one or more links relevant with this specific transactions.
6. the method according to any one of claim 1-4, comprises further: be further processed the daily record that associates of all links relevant to described specific transactions.
7. determine the device that associate daily record relevant to specific transactions, it is characterized in that, comprising:
One or more link generation module, produce the one or more links relevant to this specific transactions for being performed period at specific transactions, wherein, described specific transactions has one or more business determinant attribute;
One or more daily record generation module, for in each link relevant to specific transactions, one or more daily record is correspondingly generated in invoked one or more system, wherein, the daily record of being correlated with same link has identical mark, and in each link, at least one log packet is containing at least one the business determinant attribute in described one or more business determinant attribute; And
Association daily record determination module, for the business determinant attribute comprised based on described mark and based at least one daily record in each link, that determines all links relevant to described specific transactions by pre-defined algorithm associates daily record.
8. device according to claim 7, is characterized in that, described pre-defined algorithm is greedy algorithm.
9. device according to claim 7, is characterized in that, comprises further: identifier generation module, in generating daily record in the system called first at each link, generate described relevant to link described mark.
10. the device according to any one of claim 7-9, comprises further: execution module, for being further processed the daily record that associates of all links relevant to described specific transactions.
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| CN201310325577.5A CN104346365B (en) | 2013-07-30 | 2013-07-30 | It is determined that the method and apparatus of the association daily record related to specific transactions |
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| CN201310325577.5A CN104346365B (en) | 2013-07-30 | 2013-07-30 | It is determined that the method and apparatus of the association daily record related to specific transactions |
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| CN111352902A (en) * | 2020-02-28 | 2020-06-30 | 中国平安人寿保险股份有限公司 | Log processing method and device, terminal equipment and storage medium |
| CN112463751A (en) * | 2020-11-02 | 2021-03-09 | 中国建设银行股份有限公司 | Log processing method, system, device, equipment and storage medium |
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