CN112035550A - Fault positioning method and device - Google Patents

Fault positioning method and device Download PDF

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CN112035550A
CN112035550A CN202010903843.8A CN202010903843A CN112035550A CN 112035550 A CN112035550 A CN 112035550A CN 202010903843 A CN202010903843 A CN 202010903843A CN 112035550 A CN112035550 A CN 112035550A
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transaction
target
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application server
serial number
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徐凯路
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Bank of China Ltd
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Bank of China Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
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    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2465Query processing support for facilitating data mining operations in structured databases
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    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/02Banking, e.g. interest calculation or account maintenance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/04Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange

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Abstract

The embodiment of the application discloses a fault positioning method and a fault positioning device, wherein the method comprises the following steps: firstly, determining a target serial number corresponding to the problem transaction, then determining a target transaction link corresponding to the problem transaction according to the target serial number, and further acquiring marking data uploaded by each application server on the target transaction link, wherein the marking data is acquired based on a probe deployed in the application server; finally, according to the obtained marking data, a fault root factor corresponding to the problem transaction is located. According to the method, by means of probe deployment, through transverse series connection and longitudinal excavation, the fault root cause of problem transaction is analyzed intelligently in the whole process, technicians are assisted to quickly locate the fault root cause of problem transaction, and operation and maintenance efficiency is improved.

Description

Fault positioning method and device
Technical Field
The application relates to the technical field of internet, in particular to a fault positioning method and device.
Background
With the continuous and vigorous development of banking business, related user scenes are more and more, the transaction amount is larger and larger, a single complete transaction chain is usually very long, in addition, the bank application adopts distributed deployment more and more, and once a transaction series problem occurs, the problem is difficult to locate quickly and timely.
When a problem exists in production monitoring or a user complains about a certain transaction, related technicians need to judge which link of the transaction the problem possibly occurs in, and then judge which application service the problem specifically occurs in, and further lock which server under the application service causes the problem. Due to the fact that service scenes are more and more complex and the transaction amount is more and more large, technicians are usually difficult to quickly locate fault root causes in a short time at present, and hidden dangers exist in the follow-up service production.
Disclosure of Invention
The embodiment of the application provides a fault positioning method and device, which can quickly and accurately position a fault root cause corresponding to problem transaction.
In view of the above, a first aspect of the present application provides a fault location method, including:
acquiring a target serial number corresponding to the problem transaction;
determining a target transaction link corresponding to the problem transaction according to the target serial number;
acquiring the mark data uploaded by each application server on the target transaction link; the marking data is obtained based on a probe deployed in the application server;
and positioning the fault root cause corresponding to the problem transaction according to the acquired marking data.
Optionally, the determining a target transaction link corresponding to the problem transaction according to the target serial number includes:
and determining the target transaction link according to the target serial number and the application data of each application server in the intelligent serial transaction system.
Optionally, the acquiring the tagged data uploaded by the application server on the target transaction link includes:
determining a fault occurrence time period according to the target serial number;
and acquiring the mark data uploaded by each application server on the target transaction link in the failure occurrence time period.
Optionally, the method further includes:
deploying probes on each application server in the transaction system and setting a buried point condition;
and when the processing data of the application server meets the buried point condition, uploading the processing data serving as the marking data.
Optionally, after the fault root corresponding to the problem transaction is located according to the acquired tag data, the method further includes:
and displaying the fault root cause, and analyzing the generation cause of the fault root cause.
Optionally, the target serial number includes: a global pipeline number, a local platform pipeline number, or time series data.
A second aspect of the present application provides a fault location device, the device comprising:
the serial number acquisition module is used for acquiring a target serial number corresponding to the problem transaction;
the link determining module is used for determining a target transaction link corresponding to the problem transaction according to the target serial number;
the marking data acquisition module is used for acquiring marking data uploaded by each application server on the target transaction link; the marking data is obtained based on a probe deployed in the application server;
and the fault root cause positioning module is used for positioning the fault root cause corresponding to the problem transaction according to the acquired marking data.
Optionally, the link determining module is specifically configured to:
and determining the target transaction link according to the target serial number and the application data of each application server in the intelligent serial transaction system.
Optionally, the tag data acquiring module is specifically configured to:
determining a fault occurrence time period according to the target serial number;
and acquiring the mark data uploaded by each application server on the target transaction link in the failure occurrence time period.
Optionally, the apparatus further comprises:
the probe deployment module is used for deploying probes on application servers in the transaction system and setting a buried point condition;
and the data uploading module is used for uploading the processing data serving as the marking data when the processing data of the application server meets the embedded point condition.
Optionally, the apparatus further comprises:
and the display module is used for displaying the fault root cause and analyzing the generation cause of the fault root cause.
Optionally, the target serial number includes: a global pipeline number, a local platform pipeline number, or time series data.
According to the technical scheme, the embodiment of the application has the following advantages:
the embodiment of the application provides a fault positioning method, wherein in the method, a target serial number corresponding to a problem transaction is determined firstly, then a target transaction link corresponding to the problem transaction is determined according to the target serial number, and then marking data uploaded by each application server on the target transaction link are obtained, wherein the marking data are obtained based on a probe deployed in the application server; finally, according to the obtained marking data, a fault root factor corresponding to the problem transaction is located. According to the method, by means of probe deployment, through transverse series connection and longitudinal excavation, the fault root cause of problem transaction is analyzed intelligently in the whole process, technicians are assisted to quickly locate the fault root cause of problem transaction, and operation and maintenance efficiency is improved.
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FIG. 1 is a schematic diagram of a transaction path provided by an embodiment of the present application;
fig. 2 is a schematic flowchart of a fault location method according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a fault location device according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, 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 terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the prior art, when a user complaint causes a problem or a production monitoring alarm causes a problem, an operation and maintenance person generally positions the root cause of the problem or a technical responsible person corresponding to the alarm application handles the problem, but the problem of the user complaint at a channel end is specifically the technical responsible person who should find which application is a problem, and the technical responsible person is generally familiar with the system application in which the technical responsible person is responsible, and is unfamiliar with other system applications, so that the root cause of the problem cannot be quickly positioned, and the user experience is very poor. Under the condition of persistent problems, if the problems can not be solved quickly in a short time, the problems can not be stored on site, and hidden troubles still exist in subsequent production because the problems are not solved.
In order to solve the problems in the prior art, an embodiment of the present application provides a fault location method, in which a target serial number corresponding to a problem transaction is determined, then a target transaction link corresponding to the problem transaction is determined according to the target serial number, and then tag data uploaded by each application server on the target transaction link is obtained, where the tag data is obtained based on a probe deployed in the application server; finally, according to the obtained marking data, a fault root factor corresponding to the problem transaction is located. According to the method, by means of probe deployment, through transverse series connection and longitudinal excavation, the fault root cause of problem transaction is analyzed intelligently in the whole process, technicians are assisted to quickly locate the fault root cause of problem transaction, and operation and maintenance efficiency is improved.
It should be noted that, as shown in fig. 1, the initiating end and the ending return end of a transaction are usually determined, but the intermediate transaction links are not determined, and a transaction may have many possible transaction links, and it is difficult for a technician to determine the whole process.
According to the method provided by the embodiment of the Application, probes are innovatively deployed in each transaction Application link, namely the probes are deployed on each Application server in a transaction system, the process transaction action is monitored through the deployed probes, and when a related Application Programming Interface (API) is triggered, designated marking data such as a global serial number, a printing call stack, a service call chain, time sequence data, state data and the like are saved and pushed to a remote monitoring server for problem root cause analysis.
When a problem is detected, firstly, association and series connection are carried out according to serial numbers of an initiating end and an ending end, all possible transaction paths are listed, then which transaction link the problem is likely to occur in is analyzed according to the collected state characteristic data, and finally, which link on the path is in the problem is determined according to a calling link, and the whole process is automatically realized by a remote monitoring server.
After the application server with the fault is located, the method provided by the embodiment of the application server can collect the probe acquisition data of the application server at the corresponding time point, automatically draw the application components, the middleware, the database, the API calling relation and the time-consuming diagram based on the probe acquisition data, print code execution abstracts, stack details, related sql statements and the like, trace the resource conditions of a base layer, a middleware layer and an application layer from top to bottom, and enable related technical personnel to be clear about application architecture and performance problems.
The fault location method provided by the present application is described in detail below by way of embodiments.
Referring to fig. 2, fig. 2 is a method for locating a fault according to an embodiment of the present application, where the method may be executed by a server, and as shown in fig. 2, the method for locating a fault includes the following steps:
step 201: and acquiring a target serial number corresponding to the problem transaction.
In the method provided by the embodiment of the application, the server may first obtain the serial number corresponding to the problem transaction as the target serial number. The problem transaction can be a problem transaction reported by a user or a problem transaction detected by a transaction system, and the problem transaction is not limited in any way in the application. The serial numbers herein include, but are not limited to: the global serial number, the local platform serial number, or the time series data, that is, in practical application, different types of time series data can be obtained according to practical situations to serve as the target serial number in the present application.
Step 202: and determining a target transaction link corresponding to the problem transaction according to the target serial number.
After the server acquires the target serial number, the target serial number can be input into the intelligent transaction serial system; the intelligent transaction series system can be used for serially connecting all possible transaction paths based on application data generated by all application servers collected before and stored in a database by adopting an intelligent transaction series algorithm and taking serial numbers and time sequence data as basic characteristics, and determining a transaction link corresponding to a problem transaction from the serially connected alternating current paths to serve as a target transaction link.
Specifically, the intelligent transaction serial system may employ an artificial intelligence technology, and analyze and process application data generated by each application server stored in the database based on the input target serial number, so as to serially connect possible transaction links of problem transactions corresponding to the target serial number; furthermore, the intelligent transaction system can further analyze and determine a target transaction link corresponding to the problem transaction based on the application data uploaded by each application server on each transaction link from all the transaction links connected in series.
Step 203: acquiring the mark data uploaded by each application server on the target transaction link; the marking data is acquired based on probes deployed in the application server.
After the server determines the target transaction link, the server may further obtain the tag data uploaded by each application server on the target transaction link, where the obtained tag data is substantially obtained based on the probe deployed in the application server.
It should be noted that before executing the method provided by the embodiment of the present application, probes need to be deployed on respective application servers of respective transaction links in the transaction system, and a buried-point condition, that is, a threshold trigger condition, is set for the marking data collected by the probes. When the processing data of the application server meets the set threshold triggering condition, the application server can upload the processing data serving as the marking data to a server for fault positioning.
It should be noted that, in consideration that a large amount of tag data uploaded by an application server is generally available, a large amount of tag data is obtained to perform fault location, and a large amount of processing resources are consumed for the server, therefore, in order to reduce consumption of processing resources, the method provided in the embodiment of the present application may determine a fault occurrence time period according to a target serial number, then obtain the tag data uploaded by each application server on a target transaction link in the fault occurrence time period, and perform fault location based on the tag data uploaded by each application server on the target transaction link in the fault occurrence time period, so that consumption of processing resources of the server can be reduced under the condition that accuracy of fault location is ensured.
In particular, the server may print the mark data uploaded by each application server on the target transaction link at the time of the problem transaction, including but not limited to the code execution summary, the stack details, the sql execution statement, the url calling procedure, the JVM capability, the session status, and the like. Therefore, the various application state data stored in the database at the occurrence time of the problems are longitudinally mined and printed to be summarized and pushed to the server for positioning the faults.
Step 204: and positioning the fault root cause corresponding to the problem transaction according to the acquired marking data.
After the server acquires the marking data uploaded by the application server on the target transaction link, the fault root of the problem transaction can be positioned according to the acquired marking data. Specifically, the server can display the occupation conditions of various resources and the time consumption conditions of various actions at the time of occurrence of the problem error so as to intelligently analyze the fault root or the performance bottleneck.
In addition, the method provided by the embodiment of the application can also display the fault root cause and analyze the generation cause of the fault root cause. Specifically, the method provided by the embodiment of the application can perform front-end display on the results of resource consumption, time consumption, problem root cause tracking and summarization and the like, such as displaying an application topological graph, sentence execution time consumption, problem overview analysis, detail analysis and the like.
The embodiment of the application provides a fault positioning method, wherein in the method, a target serial number corresponding to a problem transaction is determined firstly, then a target transaction link corresponding to the problem transaction is determined according to the target serial number, and then marking data uploaded by each application server on the target transaction link are obtained, wherein the marking data are obtained based on a probe deployed in the application server; finally, according to the obtained marking data, a fault root factor corresponding to the problem transaction is located. According to the method, by means of probe deployment, through transverse series connection and longitudinal excavation, the fault root cause of problem transaction is analyzed intelligently in the whole process, technicians are assisted to quickly locate the fault root cause of problem transaction, and operation and maintenance efficiency is improved.
The embodiment of the application also provides a fault positioning device. Referring to fig. 3, fig. 3 is a schematic structural diagram of a fault location device provided in an embodiment of the present application, and as shown in fig. 3, the fault location device includes:
the serial number acquisition module 301 is used for acquiring a target serial number corresponding to the problem transaction;
a link determining module 302, configured to determine, according to the target serial number, a target transaction link corresponding to the problem transaction;
a tag data obtaining module 303, configured to obtain tag data uploaded by each application server on the target transaction link; the marking data is obtained based on a probe deployed in the application server;
and a fault root cause locating module 304, configured to locate a fault root cause corresponding to the problem transaction according to the obtained tag data.
Optionally, the link determining module is specifically configured to:
and determining the target transaction link according to the target serial number and the application data of each application server in the intelligent serial transaction system.
Optionally, the tag data acquiring module is specifically configured to:
determining a fault occurrence time period according to the target serial number;
and acquiring the mark data uploaded by each application server on the target transaction link in the failure occurrence time period.
Optionally, the apparatus further comprises:
the probe deployment module is used for deploying probes on application servers in the transaction system and setting a buried point condition;
and the data uploading module is used for uploading the processing data serving as the marking data when the processing data of the application server meets the embedded point condition.
Optionally, the apparatus further comprises:
and the display module is used for displaying the fault root cause and analyzing the generation cause of the fault root cause.
Optionally, the target serial number includes: a global pipeline number, a local platform pipeline number, or time series data.
The embodiment of the application provides a fault positioning device, wherein in the device, a target serial number corresponding to a problem transaction is determined firstly, then a target transaction link corresponding to the problem transaction is determined according to the target serial number, and then marking data uploaded by each application server on the target transaction link are obtained, wherein the marking data are obtained based on a probe deployed in the application server; finally, according to the obtained marking data, a fault root factor corresponding to the problem transaction is located. The device is through the mode of deploying the probe, through transversely establishing ties and vertically excavating, and the trouble root reason place of full flow intelligent analysis problem transaction assists technical staff to fix a position the trouble root reason of problem transaction fast, promotes fortune dimension efficiency.
The embodiment of the present application further provides a computer-readable storage medium for storing a program code, where the program code is configured to execute any one implementation of the fault location method described in the foregoing embodiments.
The present application further provides a computer program product including instructions, which when run on a computer, cause the computer to perform any one of the embodiments of a fault location method described in the foregoing embodiments.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing computer programs.
It should be understood that in the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" for describing an association relationship of associated objects, indicating that there may be three relationships, e.g., "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims (10)

1. A method of fault location, the method comprising:
acquiring a target serial number corresponding to the problem transaction;
determining a target transaction link corresponding to the problem transaction according to the target serial number;
acquiring the mark data uploaded by each application server on the target transaction link; the marking data is obtained based on a probe deployed in the application server;
and positioning the fault root cause corresponding to the problem transaction according to the acquired marking data.
2. The method according to claim 1, wherein the determining a target transaction link corresponding to the problem transaction according to the target serial number comprises:
and determining the target transaction link according to the target serial number and the application data of each application server in the intelligent serial transaction system.
3. The method of claim 1, wherein obtaining the tagged data uploaded by the application server over the target transaction link comprises:
determining a fault occurrence time period according to the target serial number;
and acquiring the mark data uploaded by each application server on the target transaction link in the failure occurrence time period.
4. The method of claim 1, further comprising:
deploying probes on each application server in the transaction system and setting a buried point condition;
and when the processing data of the application server meets the buried point condition, uploading the processing data serving as the marking data.
5. The method of claim 1, wherein after said locating a fault root corresponding to the problem transaction based on the obtained tagged data, the method further comprises:
and displaying the fault root cause, and analyzing the generation cause of the fault root cause.
6. The method of claim 1, wherein the target serial number comprises: a global pipeline number, a local platform pipeline number, or time series data.
7. A fault locating device, characterized in that the device comprises:
the serial number acquisition module is used for acquiring a target serial number corresponding to the problem transaction;
the link determining module is used for determining a target transaction link corresponding to the problem transaction according to the target serial number;
the marking data acquisition module is used for acquiring marking data uploaded by each application server on the target transaction link; the marking data is obtained based on a probe deployed in the application server;
and the fault root cause positioning module is used for positioning the fault root cause corresponding to the problem transaction according to the acquired marking data.
8. The apparatus of claim 7, wherein the link determining module is specifically configured to:
and determining the target transaction link according to the target serial number and the application data of each application server in the intelligent serial transaction system.
9. The apparatus of claim 7, wherein the tag data acquisition module is specifically configured to:
determining a fault occurrence time period according to the target serial number;
and acquiring the mark data uploaded by each application server on the target transaction link in the failure occurrence time period.
10. The apparatus of claim 7, further comprising:
the probe deployment module is used for deploying probes on application servers in the transaction system and setting a buried point condition;
and the data uploading module is used for uploading the processing data serving as the marking data when the processing data of the application server meets the embedded point condition.
CN202010903843.8A 2020-09-01 2020-09-01 Fault positioning method and device Pending CN112035550A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113282465A (en) * 2021-06-17 2021-08-20 中国建设银行股份有限公司 Fault positioning method and device, electronic equipment and computer storage medium
CN115348158A (en) * 2022-07-05 2022-11-15 南京银行股份有限公司 Transaction full link analysis method and system based on banking non-standardized transaction message
CN117033053A (en) * 2023-08-14 2023-11-10 广州诺芯软件科技有限公司 Data analysis method and system applied to automobile marketing management system software

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160300224A1 (en) * 2014-01-07 2016-10-13 Tencent Technology (Shenzhen) Company Limited Method, Server, And Storage Medium For Verifying Transactions Using A Smart Card
CN107992415A (en) * 2017-11-28 2018-05-04 中国银联股份有限公司 The fault location and analysis method and associated server of a kind of transaction system
CN109274513A (en) * 2017-07-17 2019-01-25 中国移动通信有限公司研究院 A kind of data processing method, device and computer readable storage medium
CN111078657A (en) * 2019-12-26 2020-04-28 北京思特奇信息技术股份有限公司 Service log query method, system, medium and equipment of distributed system
CN111324480A (en) * 2020-02-24 2020-06-23 中国工商银行股份有限公司 Large host transaction fault positioning system and method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160300224A1 (en) * 2014-01-07 2016-10-13 Tencent Technology (Shenzhen) Company Limited Method, Server, And Storage Medium For Verifying Transactions Using A Smart Card
CN109274513A (en) * 2017-07-17 2019-01-25 中国移动通信有限公司研究院 A kind of data processing method, device and computer readable storage medium
CN107992415A (en) * 2017-11-28 2018-05-04 中国银联股份有限公司 The fault location and analysis method and associated server of a kind of transaction system
CN111078657A (en) * 2019-12-26 2020-04-28 北京思特奇信息技术股份有限公司 Service log query method, system, medium and equipment of distributed system
CN111324480A (en) * 2020-02-24 2020-06-23 中国工商银行股份有限公司 Large host transaction fault positioning system and method

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113282465A (en) * 2021-06-17 2021-08-20 中国建设银行股份有限公司 Fault positioning method and device, electronic equipment and computer storage medium
CN115348158A (en) * 2022-07-05 2022-11-15 南京银行股份有限公司 Transaction full link analysis method and system based on banking non-standardized transaction message
CN117033053A (en) * 2023-08-14 2023-11-10 广州诺芯软件科技有限公司 Data analysis method and system applied to automobile marketing management system software

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