WO2021057383A1 - Log query method, apparatus, device, and computer-readable storage medium - Google Patents

Abstract

relating to the technical field of fintech; disclosed is a log query method, said method comprising: receiving a log query request, and obtaining a first query dimension corresponding to the log query request (S10); invoking a preset data interface to query a preset log database, and obtaining by means of the preset data interface a log corresponding to the first query dimension (S20); according to the log fed back by the preset data interface, generating a log query page containing the log (S30); receiving an operation instruction triggered on the basis of the log query page, and executing the operating instruction to complete a log query operation (S40). Also disclosed are a log query apparatus, device, and computer-readable storage medium.

Description

Log query method, device, equipment and computer readable storage medium

This application claims the priority of a Chinese patent application filed with the Chinese Patent Office on September 23, 2019, the application number is 201910903316.4, and the application name is "log query method, device, equipment, and computer-readable storage medium". The entire content of the application is approved The reference is incorporated in this application.

Technical field

This application relates to the technical field of financial technology (Fintech), in particular to log query methods, devices, equipment, and computer-readable storage media.

Background technique

With the rapid development of Internet technology, especially Internet financial technology (Fintech), more and more technologies (big data, distributed, blockchain, artificial intelligence, etc.) are applied in the financial field, and financial business platforms are also increasing. more.

It is inevitable that there will be failures during the operation of the business platform. Therefore, the business platform records operating information in the form of logs, allowing operation and maintenance personnel to analyze the logs for troubleshooting. The current business platforms are related to each other, and when a business platform fails, it will often This has an impact on other business platforms associated with it. Operation and maintenance personnel need to log in to each business platform and query the logs generated by each business platform. Such a log query operation method is more complicated.

Technical solutions

The main purpose of this application is to propose a log query method, device, equipment, and computer-readable storage medium, which aims to solve the technical problem of complex operations in the current log query process.

In order to achieve the above objective, this application provides a log query method, which includes the following steps:

After receiving the log query request, obtain the first query dimension corresponding to the log query request;

Call a preset data interface to query a preset log database, and obtain a log corresponding to the first query dimension through the preset data interface;

Generating a log query page containing the log according to the log fed back by the preset data interface;

An operation instruction triggered based on the log query page is received, and the operation instruction is executed to complete the log query operation.

In an embodiment, the log query method further includes:

After receiving a log collection instruction, call a preset collection interface to collect logs generated by a business platform, and obtain attributes of the logs, where the attributes include collection time, business platform identification, log source IP address, and log identification;

The log is associated with the attribute and saved to a preset log database.

In an embodiment, before the step of generating a log query page containing the log according to the log fed back by the preset data interface, the log query method further includes:

After receiving the display configuration request, output the display configuration prompt to prompt the user to configure the display configuration information of the log query page;

Acquiring display configuration information input based on the display configuration prompt;

The step of generating a log query page containing the log according to the log fed back by the preset data interface includes:

Generating a display template according to the display format in the display configuration information, and adding the log fed back by the preset data interface to the display template to obtain a log list;

A functional component is added to the preset area of the log list to generate a log query page containing the log.

In an embodiment, the step of receiving an operation instruction triggered based on the log query page and executing the operation instruction to complete the log query operation includes:

Receiving an operation instruction triggered based on the log query page, and determining whether the operation instruction contains a keyword;

If it is determined that the operation instruction contains a keyword, query the log through the preset data interface to obtain a target log containing the keyword;

Update the log query page according to the target log fed back by the preset data interface.

In an embodiment, after the step of receiving an operation instruction triggered based on the log query page and determining whether the operation instruction contains a keyword, the log query method further includes:

If it is determined that the operation instruction does not contain a keyword, when the operation instruction is a page turning operation instruction, the page number corresponding to the page turning operation instruction is used as the second query dimension;

Obtain the target log corresponding to the second query dimension through the preset data interface, and update the log query page according to the target log fed back by the preset data interface.

In an embodiment, after the step of generating a log query page containing the log according to the log fed back by the preset data interface, the log query method further includes:

If it is determined that the operation instruction triggered based on the log query page is not received within the preset time period, acquiring the user ID of the currently logged-in user;

Acquire historical operation behavior data corresponding to the user identifier, determine an operation instruction according to the historical operation behavior data, and execute the operation instruction.

In an embodiment, before the step of receiving the log query request and obtaining the first query dimension corresponding to the log query request, the log query method further includes:

Receiving the abnormal prompt sent by the service platform, acquiring the platform identifier of the service platform as the first query dimension, and triggering a log query request based on the first query dimension.

In addition, in order to achieve the above objective, this application also provides a log query device, the log query device including:

The request receiving module is configured to obtain the first query dimension corresponding to the log query request after receiving the log query request;

The query and acquisition module is configured to call a preset data interface to query a preset log database, and obtain the log corresponding to the first query dimension through the preset data interface;

A receiving and generating module configured to generate a log query page containing the log according to the log fed back by the preset data interface;

The first execution module is configured to receive an operation instruction triggered based on the log query page, and execute the operation instruction to complete the log query operation

In addition, in order to achieve the above object, the present application also provides a log query device, the log query device includes: a memory, a processor, and a log query program stored on the memory and running on the processor, so When the log query program is executed by the processor, the steps of the log query method described above are implemented.

In addition, in order to achieve the above object, the present application also provides a computer-readable storage medium having a log query program stored on the computer-readable storage medium, and when the log query program is executed by a processor, the log query as described above is realized. Method steps.

This application provides a log query method, device, equipment, and computer-readable storage medium. In the embodiment of this application, the log query device queries the log database by calling the preset data interface. The preset data interface obtains the logs of each business platform and sends them to the log query device. The log query device receives the logs of each business platform and generates logs containing the logs. The query page allows operation and maintenance personnel to perform log query operations based on the log query page, which improves the operational convenience of log query and further improves log query efficiency.

Description of the drawings

FIG. 1 is a schematic diagram of a device structure of a hardware operating environment involved in a solution of an embodiment of the present application;

2 is a schematic flowchart of the first embodiment of the application log query method;

FIG. 3 is a schematic flowchart of a third embodiment of an application log query method;

4 is a schematic flowchart of a fourth embodiment of an application log query method;

Fig. 5 is a schematic diagram of functional modules of an embodiment of the log query device of the application.

The realization, functional characteristics, and advantages of the purpose of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings.

Embodiments of the present invention

It should be understood that the specific embodiments described here are only used to explain the application, and not used to limit the application.

As shown in FIG. 1, FIG. 1 is a schematic diagram of the device structure of the hardware operating environment involved in the solution of the embodiment of the present application.

The log query device in the embodiment of the present application may be a PC or a server.

As shown in FIG. 1, the log query device may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, and a communication bus 1002. Among them, the communication bus 1002 is configured to implement connection and communication between these components. The user interface 1003 may include a display screen (Display) and an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory, or a stable memory (non-volatile memory), such as a magnetic disk memory. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

Those skilled in the art can understand that the structure of the device shown in FIG. 1 does not constitute a limitation on the device, and may include more or fewer components than those shown in the figure, or a combination of certain components, or different component arrangements.

As shown in FIG. 1, a memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and a log query program.

In the device shown in Figure 1, the network interface 1004 is mainly configured to connect to the back-end server and communicate with the back-end server; the user interface 1003 is mainly configured to connect to the client (user side) and communicate with the client; and the processor 1001 can be configured to call the log query program stored in the memory 1005 and perform the operations in the following log query method. The method implemented when the log query program running on the processor is executed can refer to the log query method of this application. The various embodiments will not be repeated here.

The current application is deployed on multiple Linux servers, and the operation and maintenance personnel need to search the logs of a specific keyword of a certain application. The log search methods usually used include: 1. The operation and maintenance personnel log in to the Linux server one by one and jump to Corresponding log directory, and use Linux native commands such as less, vim and other commands to open the log file, and enter keywords to search for log keywords; 2. The operation and maintenance personnel write Shell or Python scripts, and log in to multiple applications through the designated bastion machine. Server, at the same time handwriting Linux query keyword log commands such as grep command, etc., return the matched keyword logs to the designated bastion machine, and display the log content obtained by grep to the page; 3. Operation and maintenance personnel use the open source ELK suite , Write the collected application logs to Elastic Search logs rely on the log search interface provided by Kibana for conditional searches.

The current log search methods all have shortcomings, namely, 1. The operation and maintenance personnel log in to multiple Linux servers and search the logs, obviously, the operation efficiency is very low, which is not conducive to quickly locating the problem; 2. The operation and maintenance personnel rely on Shell or Python scripts to automatically Logging in to multiple servers to search for scripts requires the operation and maintenance personnel to edit the search commands each time. The search threshold is high and error-prone, and it is necessary to log in to multiple application machines each time. If you encounter a scenario where multiple people search at the same time, the application The pressure on the server will also be greater; 3. Although the operation and maintenance personnel can see the search results with the help of ELK's Kibana log interface search, the search dimensions are limited, and they can only search for logs containing keywords, and cannot search further or cannot See logs outside of search results.

Based on the above hardware structure, an embodiment of the log query method of this application is proposed.

The first embodiment of the log query method of this application includes:

After receiving the log query request, obtain the first query dimension corresponding to the log query request;

Call a preset data interface to query a preset log database, and obtain a log corresponding to the first query dimension through the preset data interface;

Generating a log query page containing the log according to the log fed back by the preset data interface;

An operation instruction triggered based on the log query page is received, and the operation instruction is executed to complete the log query operation.

The log query device in this embodiment can optionally install Elastic Search, Elastic Search is a distributed, high-scalable, high-real-time search and data analysis engine based on Lucene. Elastic Search is implemented based on a RESTful web interface (the implementation steps of Elastic Search include: submit data to Elastic Search database; then use the word segmentation controller to segment the corresponding sentence, and store its weight and segmentation results into the data; when the user searches for the data, the results are ranked and scored according to the weight, and then the results are returned to the user ).

In this embodiment of the application, the logs generated by the business platform are searched based on Elastic Search. Specifically, Elastic Search collects the log information of each business platform and stores the collected logs in the distributed cluster of Elastic Search. Then, Elastic Search Search analyzes and processes the collected logs, specifically including word segmentation processing on the logs, adding weights and other operations, and extracting feature information in the logs. When Elastic Search receives the search instructions sent by the operation and maintenance personnel, Elastic Search obtains the search instructions And compare the keywords with the characteristic information of each log, and output the log search results.

The application of Elastic Search to the log search process can effectively improve the efficiency of log query. However, in the existing search process, if the search results returned by Elastic Search are inaccurate, the user can only perform multiple searches by changing keywords. For Elastic Search to view logs other than the search results, the user needs to log in to other pages of this business platform or log in to other platforms to query, which is more complicated.

For example, business platform A, business platform B, and business platform C are interrelated business platforms. When business platform A alarms abnormally, if the user wants to enter "error" in the interface of Elastic Search, it can be used to correct business platform A and business platform B. Search the log corresponding to business platform C, and the log containing "error" is only the log generated by business platform A, and the data of business platform B and business platform C cannot be queried. If the user needs to query business platform B and business platform C Corresponding logs are used to determine whether business platform B and business platform C are affected. The user needs to log in to business platform B and business platform C and input corresponding query instructions to perform retrospective query. Such user operations are more complicated.

The embodiment of this application is an improvement made in response to the above situation. The log query method in this embodiment is applied to a log query device. The log query device is in communication connection with the Elastic Search cluster, and the Elastic Search cluster communicates with multiple service platforms through interfaces. Therefore, the log query device can query the logs of multiple business platforms (business subsystems). Before the log query operation, the log query device performs log collection operations in advance, specifically including:

After receiving the log collection instruction, call the preset collection interface to collect the logs generated by the business platform, obtain the attributes of the logs, and associate the logs with the attributes and save them to a preset log database.

That is, the log query device receives the log collection instruction, and the trigger method of the log collection instruction is not specifically limited. When the log query device receives the log collection instruction, the log query device calls the preset collection interface (the preset collection interface can be a preset Elastic Search log collection interface, which can also be an interface re-developed by operation and maintenance personnel) Collect logs generated by the business platform and obtain the attributes of each log. The attributes include the collection time and the business platform identifier (the business platform identifier is the identifier of the unique business platform) Information, such as business platform name or business platform number), log source IP address, and log identifier; the log query device associates the log with the attributes corresponding to the log and saves it to the preset log database. The preset log database refers to the preset log database. The database for storing log information, the preset log database can be set in a distributed cluster.

In this embodiment, the log query device collects the logs of each service platform by calling the preset collection interface, and associates the log with the attributes corresponding to the log and saves it to the preset log database. When the log query device receives the log query request, it queries The preset log database obtains logs of different business platforms, so that users do not need users to log in to multiple business platforms, specifically:

Referring to FIG. 2, FIG. 2 is a schematic flowchart of a first embodiment of a log query method of this application, and the log query method includes:

Step S10: A log query request is received, and a first query dimension corresponding to the log query request is obtained.

In this embodiment, the log query device receives the log query request, and the trigger method of the log query request is not specifically limited, that is, the log query request can be triggered by the user actively, for example, the user enters the query xxx service platform on the display interface corresponding to the log query device In addition, the log query request can also be automatically triggered by the log query device. For example, the log query condition is preset in the log query device: the log query is automatically performed in the early morning of every day, and the log query device arrives in the early morning. The log query request is triggered automatically.

When the log query device receives the log query request, the log query device obtains the first query dimension corresponding to the log query request. The first query dimension may be the time dimension of log collection, the spatial dimension of log storage, the spatial dimension of log generation, and so on.

Step S20: Invoke a preset data interface to query a preset log database, and obtain a log corresponding to the first query dimension through the preset data interface.

The log query device calls the preset data interface (the preset data interface refers to the preset data interface for users to query the logs of each business platform, for example, the preset data interface can be understood as the data interface corresponding to the Elastic Search cluster) to query the preset The log database, specifically, the preset data interface is associated with a data analysis script, and the preset data interface obtains the log corresponding to the first query dimension in the preset log database by running the data analysis script.

For example, the first query dimension is the log generated by the xxx business platform, and the business query device calls the preset data interface to query the preset log database to obtain the logs generated by the xxx business platform in the log database; for another example, the first query dimension is 2019 On September 10, the business query device called the preset data interface to query the preset log database, and obtained the logs collected on September 10, 2019 in the log database.

The preset data interface feeds back the log corresponding to the first query dimension to the log query device, so that the log query device processes the log, specifically:

Step S30: Generate a log query page containing the log according to the log fed back by the preset data interface.

The log query device receives the log fed back by the preset data interface, and the log query device types out the log to generate a log query page containing the log.

In this embodiment, a specific implementation method for the log query device to typeset the log and generate the log query page is given, specifically including:

Step a1, receiving a display configuration request, and outputting a display configuration prompt to prompt the user to configure the display configuration information of the log query page;

Step a2: Obtain display configuration information input based on the display configuration prompt.

In this embodiment, the log query device is preset to display configuration information. The display configuration information can be understood as the format information of the log query page. That is, the log query device receives the display configuration request, and the trigger mode of the display configuration request is not specifically limited. The log query device When receiving a display configuration request, the log query device outputs a display configuration prompt to prompt the user to configure the display configuration information of the log query page. For example, the user can set the display configuration prompt based on the display configuration prompt: the formatting format is 10 logs per page, and the log query device obtains Display configuration information entered based on the display configuration prompt.

The log query device generates a log query page based on the set display configuration information, specifically, including:

Step b1, generating a display template according to the display format in the display configuration information, and adding the log fed back by the preset data interface to the display template to obtain a log list;

Step b2: Add a functional component to the preset area of the log list to generate a log query page containing the log.

The log query device receives the log feedback from the Elastic Search data interface. The log query device obtains the display format in the display configuration information, and generates a display template according to the display format; for example, if the display format is n rows and 2 columns, the log query device generates one n rows Two-column display template. The log query device will collect 300 logs corresponding to the first query dimension, and the log query device will input 300 logs into the first column of the display template in turn, and enter the attributes of the logs into the display template. The log list is obtained in the second column, and functional components are added to the edge area of the log list (function components include but not limited to page turning component, scrolling component, jump component, search component, etc.) to generate a log query page containing logs.

Further, in order to improve the flexibility of generating the log query page, the log query device based on the set display configuration information, generating the log query page may also include:

Generate a display template according to the display format in the display configuration information, and divide the logs fed back by the preset data interface according to the display dimensions in the display template to form a log subset;

Filling each of the log sub-sets into the display template in order to obtain a log list;

A functional component is added to the preset area of the log list to generate a log query page containing the log.

Among them, the log display dimensions include but are not limited to: the system type corresponding to the log, the log source IP, etc., and then combine the display dimensions and the display template to display the log, which improves the flexibility of log display and the flexibility and accuracy of subsequent log queries. Sex and query efficiency.

Step S40: Receive an operation instruction triggered based on the log query page, and execute the operation instruction to complete the log query operation.

The log query device receives operation instructions triggered based on the log query page, that is, the log query page also provides shortcut key functions, including page down, page up, jump to the front of the log, jump to the end of the log, and search for the next keyword Operation and maintenance personnel can trigger operation requests based on the functional components in the log query page, and the log query device receives operation instructions triggered based on the log query page, and executes the operation instructions to complete the log query operation. The operation instruction triggered by the log query page may be triggered in the log page to realize the log switch query of the page. In addition, it can also be triggered after one of the logs is selected. In this case, when the switching operation is performed, the selected patent is inquired up and down, so as to realize the traceability of the specific situation of the log.

In other words, the log query device implements log traceability based on operation instructions, that is, the log query device implements switching from one log to the previous log of the log, the next log, or other services of the same business level according to the operation instruction. In the log of the platform, for example, the log query device communicates with business platform A and business platform B. Business platform A is the upstream business system of business platform B. The user enters the keyword: "error" in the log query page, and the log query page Highlight the error log containing "error". The error log may be generated by business platform A or business platform B. The user jumps from the first log of business platform A to the second log of business platform B through the shortcut key.

It needs to be added that, in addition to providing functional components on the log query page, the embodiment of the application can also provide shortcut keys that meet the routine search of operation and maintenance personnel. Specifically, it can be detected that the mouse cursor is hovering to the functional component on the log query page. When any functional component is not clicked, a prompt message prompting the corresponding function of each shortcut key is output. For example, output prompt information: Shift+F means to page to the new log; Shift+B means to page to the old log (the log can be scrolled back and forth through the above two functions); Shift+G means to jump to the log Foremost; Shift+H means to jump to the end of the log (through the above two shortcut keys and the cooperation with forward and backward pages, you can quickly browse the new and old logs); Shift+N cooperates with the keyword function component The search function can realize the keyword search for matching jumps one by one (the operation and maintenance personnel can search for each matching keyword log and log context content).

In addition, in order to improve the accuracy and efficiency of log query, other operations are supported on the log query page. For example, after the user selects a log, a small floating window will pop up on the log query page, prompting the user to slide left and right You can turn the page up and down to turn to the previous log that caused the log (to trace the reason of the previous log), click to jump to the top (to trace the cause of the log's initial log), and double-click to skip To the end (to achieve a preview of the log termination reason for the log), etc.; for another example, after the user selects a specified area of the log query page, the log query page will be partially zoomed according to the user's operation instructions (such as scrolling by sliding the mouse) .

In this embodiment, the log query device queries the log database by calling the preset data interface. The preset data interface obtains the logs of each business platform and sends them to the log query device. The log query device receives the logs of each business platform and generates a log query containing the logs. The page allows operation and maintenance personnel to perform log query operations based on the log query page, which improves the operational convenience of log query and further improves log query efficiency.

The technical solution in this embodiment is applied to the financial field, for example, in the deposit/loan product of a banking institution or the log query page of the system. Based on the full-text search capability of Elastic Search, it provides a log search habit of operation and maintenance personnel With full-text search function, operation and maintenance personnel do not need to manually log in to multiple business platforms, and do not need to enter various search commands. Through a centralized log query page, they can search for multiple corresponding business platform logs in seconds, and view the context of the logs. Realize the functions of page down, page up, jump to the front of the log, jump to the end of the log, search for the next keyword, etc., making user operations more convenient.

Further, based on the first embodiment of the log query method of the present application, a second embodiment of the log query method of the present application is proposed.

This embodiment is a step before step S10 in the first embodiment. In this embodiment, a specific implementation method for triggering a log query request is given, including:

Receiving the abnormal prompt sent by the service platform, acquiring the platform identifier of the service platform as the first query dimension, and triggering a log query request based on the first query dimension.

In this embodiment, the log query device monitors each service platform in real time. When the service platform is abnormal, the service platform sends an exception notification to the log query device, the log query device detects the business platform abnormality, and the log query device detects the business platform abnormality , The log query device obtains the platform identifier of the business platform as the first query dimension, and the log query device triggers the log query request based on the first query dimension.

In this embodiment, the log query device automatically triggers the log query request by detecting the status of each service platform, which makes the log query operation more convenient.

Further, referring to FIG. 3, based on the first embodiment of the log query method of the present application, a third embodiment of the log query method of the present application is proposed.

This embodiment is a refinement of step S40 in the first embodiment. The difference between this embodiment and the first embodiment lies in:

Step S41: Receive an operation instruction triggered based on the log query page, and determine whether the operation instruction contains a keyword.

The log query device receives the operation instruction triggered based on the log query page, and the log query device determines whether the operation instruction contains keywords. For example, a keyword input box is set on the log query page. If the user enters the keyword in the keyword input box, And click the search component of the log query page, the operation instruction contains keywords; the user does not enter the keyword in the keyword input box, but directly clicks the jump component of the log query page, the operation instruction does not contain the keyword.

Step S42: If it is determined that the operation instruction contains a keyword, query the log through the preset data interface to obtain a target log containing the keyword.

If the operation instruction contains a keyword, the log query device queries the log corresponding to the first query dimension through the preset data interface to obtain the target log containing the keyword. In this embodiment, the log query device queries the first query via the preset data interface The log corresponding to the dimension, get the target log containing the keyword,

It is understandable that the actual log query operation is not performed on the log query device. The log query device displays the query operation process of the preset data interface to facilitate the user to view. At the same time, the log query device can send the user's operation instructions To the preset data interface, the preset data interface is executed according to the user's operating instructions.

Step S43: Update the log query page according to the target log fed back by the preset data interface.

The log query device receives the target log fed back by the preset data interface, and the log query device updates the log on the log query page to the target log. In this embodiment, the log query device updates the log query page according to the user's operation instruction for the user to view .

In order to facilitate understanding, take the Baidu search engine as an example. The user enters keywords in the data search bar of the terminal Baidu. The Baidu search engine searches according to the keywords and sends the search results to the terminal. In this process, the user cannot View the data source of Baidu search engine, users can only see the search results. This embodiment is an improvement based on this. The log query device calls the preset data interface to query the log database. The preset data interface obtains the logs of each business platform and sends them to the log query device. The log query device obtains the logs of each business platform. The query device uses the logs of each business platform as the data source to simulate the preset query operation, that is, the preset data interface sends the target log to the log query device, and the log query device receives the target log fed back by the preset data interface, and The log on the log query page is updated to the target log.

Further, referring to FIG. 4, based on the foregoing embodiment of the log query method of the present application, a fourth embodiment of the log query method of the present application is proposed.

This embodiment is a refinement of step S40 in the first embodiment. This embodiment is a step after step S41 in the third embodiment. The difference between this embodiment and the above-mentioned embodiment lies in:

Step S44: If it is determined that the operation instruction does not contain a keyword, when the operation instruction is a page turning operation instruction, the page number corresponding to the page turning operation instruction is used as the second query dimension.

If the operation instruction does not contain a keyword, the log query device determines whether the operation instruction is a page turning operation instruction. When the operation instruction is not a page turning operation instruction, the log query device determines the operation instruction type, and determines the second query dimension according to the operation instruction type, for example , The user can click the xxxIP address on the log query page, and the log query device will use the xxxIP address as the second query dimension.

When the operation instruction is a page turning operation instruction, the log query device obtains the page number corresponding to the page turning operation instruction, and uses the page as the second query dimension. For example, the user can click on the log query page to jump to the next page, and the log query device Use the log range on the next page as the second query dimension. The triggering method of the page turning operation instruction is not specifically limited, that is, the page turning operation instruction may be triggered when the user presses a shortcut key, a combination key, or inputs a preset operation in a floating window on the page.

Step S45: Obtain the target log corresponding to the second query dimension through the preset data interface, and update the log query page according to the target log fed back by the preset data interface.

The log query device queries the logs through the preset data interface to determine the target log corresponding to the second query dimension. The preset data interface sends the target log to the log query device, the log query device receives the target log, and the log query device will The log is updated as the target log, that is, for example, the log in the current log query page is item 1 to item 10, and the user clicks on the log query page: "Skip to the end of the log", the preset data interface query log determines the last Target log, the preset data interface sends the final target log to the log query device, and the log query device receives the target log fed back by the preset data interface, and updates the log in the log query page to the target log.

In this embodiment, multiple ways of triggering operation instructions are supported, which makes user operations more convenient. In addition, the log query device determines the second query dimension through the operation instructions to limit the search range, thereby achieving faster and more accurate log search.

Further, based on the foregoing embodiments of the log query method of the present application, a fifth embodiment of the log query method of the present application is proposed.

This embodiment is a step after step S30 in the first embodiment. The difference between this embodiment and the first embodiment lies in:

If it is determined that the operation instruction triggered based on the log query page is not received within the preset time period, the user identification of the currently logged-in user is acquired.

Acquire historical operation behavior data corresponding to the user identifier, determine an operation instruction according to the historical operation behavior data, and execute the operation instruction.

If the operation instruction triggered based on the log query page is not received within the preset time period, the log query device obtains the user ID of the currently logged-in user (user ID refers to the identification information that uniquely identifies the logged-in user, such as user account information).

The log query device obtains the historical operation behavior data corresponding to the user identification. The historical operation behavior data includes user browsing time, browsing frequency, etc.; the log query device determines the operation instruction according to the historical operation behavior data, and executes the operation instruction.

The log query device determines the operation instruction based on the historical operation behavior data can be implemented in different ways: Method 1: The log query device uses the most frequent historical operation instruction in the historical operation behavior data as the operation instruction; Method 2: The log query device uses the historical operation behavior Determine the trigger time of each historical operation instruction in the data, and determine the operation instruction. For example, the current time is 15:00, and the historical operation behavior data is from 14:00 to 16:00. Users usually query the log of business platform A, and the log query device triggers the log query of business platform A. Operation instructions.

In this embodiment, the log query device automatically triggers operation instructions according to the user's historical operation behavior data, which can effectively reduce user operations and improve log query efficiency.

Referring to FIG. 5, an embodiment of the present application further provides a log query device, and the log query device includes:

The request receiving module 10 is configured to obtain the first query dimension corresponding to the log query request after receiving the log query request;

The query obtaining module 20 is configured to call a preset data interface to query a preset log database, and obtain the log corresponding to the first query dimension through the preset data interface;

Receiving and generating module 30, configured to generate a log query page containing the log according to the log fed back by the preset data interface;

The first execution module 40 is configured to receive an operation instruction triggered based on the log query page, and execute the operation instruction to complete the log query operation.

In an embodiment, the log query device includes:

The log collection module is configured to, after receiving the log collection instruction, call the preset collection interface to collect logs generated by the service platform, and obtain attributes of the logs, where the attributes include collection time, service platform identification, and log source IP address And log identification;

The associated storage module is configured to associate and save the log and the attribute to a preset log database.

In an embodiment, the log query device includes:

The receiving output module is configured to output a display configuration prompt after receiving a display configuration request to prompt the user to configure the display configuration information of the log query page;

A configuration obtaining module, configured to obtain display configuration information input based on the display configuration prompt;

The receiving and generating module 30 includes:

The first generating unit is configured to generate a display template according to the display format in the display configuration information, and the second generating unit is configured to add the log fed back by the preset data interface to the display template to obtain a log list , Adding a functional component to the preset area of the log list to generate a log query page containing the log.

In an embodiment, the first execution module 40 includes:

A receiving judgment unit configured to receive an operation instruction triggered based on the log query page, and determine whether the operation instruction contains a keyword;

A query determining unit configured to, after determining that the operation instruction contains a keyword, query the log through the preset data interface to obtain a target log containing the keyword;

According to the target log fed back by the preset data interface, the log on the log query page is updated to the target log.

In an embodiment, the first execution module 40 includes:

A dimension obtaining unit, configured to, after determining that the operation instruction does not contain a keyword, when the operation instruction is a page turning operation instruction, use the page number corresponding to the page turning operation instruction as the second query dimension;

The log update unit is configured to obtain the target log corresponding to the second query dimension through the preset data interface, and update the log query page according to the target log fed back by the preset data interface.

In an embodiment, the log query device includes:

An identification acquisition module, configured to acquire the user identification of the currently logged-in user after determining that the operation instruction triggered based on the log query page is not received within a preset time period;

The second execution module is configured to obtain historical operation behavior data corresponding to the user identifier, determine an operation instruction according to the historical operation behavior data, and execute the operation instruction.

In an embodiment, the log query device includes:

The request triggering module is configured to obtain the platform identifier of the service platform as the first query dimension after receiving the abnormal prompt sent by the service platform, and trigger the log query request based on the first query dimension.

For the method executed by the above-mentioned program modules, please refer to the various embodiments of the log query method of this application, which will not be repeated here.

It should be noted that in this article, the terms "include", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements not only includes those elements, It also includes other elements that are not explicitly listed, or elements inherent to the process, method, article, or system. Without more restrictions, the element defined by the sentence "including a..." does not exclude the existence of other identical elements in the process, method, article, or system that includes the element.

The serial numbers of the foregoing embodiments of the present application are only for description, and do not represent the advantages and disadvantages of the embodiments.

Through the description of the above implementation manners, those skilled in the art can clearly understand that the above-mentioned embodiment method can be implemented by means of software plus the necessary general hardware platform, of course, it can also be implemented by hardware, but in many cases the former is better.的实施方式。 Based on this understanding, the technical solution of this application essentially or the part that contributes to the existing technology can be embodied in the form of a software product, and the computer software product is stored in a storage medium (such as ROM/RAM) as described above. , Magnetic disk, optical disk), including several instructions to make a server device (can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the method described in each embodiment of the present application.

The above are only the preferred embodiments of the application, and do not limit the scope of the patent for this application. Any equivalent structure or equivalent process transformation made using the content of the description and drawings of the application, or directly or indirectly applied to other related technical fields , The same reason is included in the scope of patent protection of this application.

Claims (10)

1. A log query method, wherein the log query method includes the following steps:

   After receiving the log query request, obtain the first query dimension corresponding to the log query request;

   Call a preset data interface to query a preset log database, and obtain a log corresponding to the first query dimension through the preset data interface;

   Generating a log query page containing the log according to the log fed back by the preset data interface;

   An operation instruction triggered based on the log query page is received, and the operation instruction is executed to complete the log query operation.
2. 5. The log query method according to claim 1, wherein the log query method further comprises:

   After receiving a log collection instruction, call a preset collection interface to collect logs generated by a business platform, and obtain attributes of the logs, where the attributes include collection time, business platform identification, log source IP address, and log identification;

   The log is associated with the attribute and saved to a preset log database.
3. The log query method of claim 1, wherein before the step of generating a log query page containing the log according to the log fed back by the preset data interface, the log query method comprises:

   After receiving the display configuration request, output the display configuration prompt to prompt the user to configure the display configuration information of the log query page;

   Acquiring display configuration information input based on the display configuration prompt;

   The step of generating a log query page containing the log according to the log fed back by the preset data interface includes:

   Generating a display template according to the display format in the display configuration information, and adding the log fed back by the preset data interface to the display template to obtain a log list;

   A functional component is added to the preset area of the log list to generate a log query page containing the log.
4. The log query method of claim 1, wherein the step of receiving an operation instruction triggered based on the log query page and executing the operation instruction to complete a log query operation includes:

   Receiving an operation instruction triggered based on the log query page, and determining whether the operation instruction contains a keyword;

   If it is determined that the operation instruction contains a keyword, query the log through the preset data interface to obtain a target log containing the keyword;

   Update the log query page according to the target log fed back by the preset data interface.
5. The log query method according to claim 4, wherein after the step of receiving an operation instruction triggered based on the log query page and determining whether the operation instruction contains a keyword, the log query method further comprises:

   If it is determined that the operation instruction does not contain a keyword, when the operation instruction is a page turning operation instruction, the page number corresponding to the page turning operation instruction is used as the second query dimension;

   Obtain the target log corresponding to the second query dimension through the preset data interface, and update the log query page according to the target log fed back by the preset data interface.
6. 5. The log query method according to claim 1, wherein after the step of generating a log query page containing the log according to the log fed back by the preset data interface, the log query method further comprises:

   If it is determined that the operation instruction triggered based on the log query page is not received within the preset time period, acquiring the user ID of the currently logged-in user;

   Acquire historical operation behavior data corresponding to the user identifier, determine an operation instruction according to the historical operation behavior data, and execute the operation instruction.
7. The log query method according to any one of claims 1 to 6, wherein before the step of receiving the log query request and obtaining the first query dimension corresponding to the log query request, the log query method further comprises:

   Receiving the abnormal prompt sent by the service platform, acquiring the platform identifier of the service platform as the first query dimension, and triggering a log query request based on the first query dimension.
8. A log query device, wherein the log query device includes:

   The request receiving module is configured to obtain the first query dimension corresponding to the log query request after receiving the log query request;

   The query and acquisition module is configured to call a preset data interface to query a preset log database, and obtain the log corresponding to the first query dimension through the preset data interface;

   A receiving and generating module configured to generate a log query page containing the log according to the log fed back by the preset data interface;

   The first execution module is configured to receive an operation instruction triggered based on the log query page, and execute the operation instruction to complete the log query operation.
9. A log query device, wherein the log query device includes a memory, a processor, and a log query program stored on the memory and capable of being run on the processor, and the log query program is executed by the processor The steps of the log query method according to any one of claims 1 to 7 are realized during execution.
10. A computer-readable storage medium, wherein a log query program is stored on the computer-readable storage medium, and when the log query program is executed by a processor, the log query according to any one of claims 1 to 7 is realized Method steps.