CN116701762A - Method, device, equipment and medium for processing degradation of search service of independent station - Google Patents
Method, device, equipment and medium for processing degradation of search service of independent station Download PDFInfo
- Publication number
- CN116701762A CN116701762A CN202310689309.5A CN202310689309A CN116701762A CN 116701762 A CN116701762 A CN 116701762A CN 202310689309 A CN202310689309 A CN 202310689309A CN 116701762 A CN116701762 A CN 116701762A
- Authority
- CN
- China
- Prior art keywords
- independent station
- hot spot
- search
- independent
- search service
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000015556 catabolic process Effects 0.000 title claims abstract description 57
- 238000006731 degradation reaction Methods 0.000 title claims abstract description 56
- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000012545 processing Methods 0.000 title claims abstract description 30
- 238000004458 analytical method Methods 0.000 claims abstract description 56
- 230000004044 response Effects 0.000 claims abstract description 43
- 238000012544 monitoring process Methods 0.000 claims abstract description 19
- 238000004590 computer program Methods 0.000 claims description 12
- 238000003672 processing method Methods 0.000 claims description 11
- 230000006870 function Effects 0.000 description 10
- 230000002159 abnormal effect Effects 0.000 description 8
- 230000008901 benefit Effects 0.000 description 8
- 238000004891 communication Methods 0.000 description 8
- 230000005856 abnormality Effects 0.000 description 6
- 239000000306 component Substances 0.000 description 6
- 230000008569 process Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 101100295776 Drosophila melanogaster onecut gene Proteins 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 2
- 238000009933 burial Methods 0.000 description 2
- 230000001413 cellular effect Effects 0.000 description 2
- 239000008358 core component Substances 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0203—Market surveys; Market polls
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The application relates to a method, a device, equipment and a medium for processing degradation of search service of an independent station, wherein the method comprises the following steps: transmitting a hot spot seller analysis instruction in response to the search service degradation request, uploading access flow data of each independent station store to a hot spot seller analysis module in real time, and detecting the access flow data of the independent station stores according to a standard score formula in the hot spot seller analysis module to determine one or more hot spot sellers; responding to the search request monitoring instruction to acquire a search request queue aiming at the independent station store, judging whether the size of the search request queue in unit time exceeds a preset threshold, and storing independent station store data corresponding to the hot spot seller into a cache middleware when the size exceeds a preset threshold; and responding to the search service request, acquiring independent station store data corresponding to the hot spot seller from the cache middleware, returning a search service result, and finishing search service degradation processing of the independent station store. The application can specifically carry out degradation treatment on the store traffic of the hot spot seller.
Description
Technical Field
The present application relates to the field of network security, and in particular, to a method for processing degradation of search service of an independent station, a corresponding apparatus, an electronic device, and a computer readable storage medium.
Background
The cross-border electronic commerce is an industry which rapidly develops in recent years, the independent site is a new form of the cross-border electronic commerce, and in the operation, the self-right is high, the cross-border electronic commerce is more flexible, and the restriction of a plurality of platform rules is avoided. In the SaaS background in the stand-alone e-commerce platform, the search service is a core component on which the stand-alone station is heavily dependent, and in order to pursue the maximum utilization rate of resources, tens of thousands of sellers data are shared with the search service, and often, serious threat is caused to the search service by burst traffic abnormality caused by crawlers or sales promotion activities to individual sellers.
In the prior art, for the search service degradation processing of the cross-border e-commerce independent station, the degradation thought of the traditional e-commerce platform is adopted, a certain proportion of traffic of all e-commerce shops is discarded, the search effect is lost to deal with the burst traffic, system protection is realized, in the application scene of the independent station, the burst traffic in the independent station is basically from an individual seller, the degradation strategy of the traditional technology of the cross-border e-commerce is used for carrying out traffic degradation on all independent station shops, so that other irrelevant sellers lose traffic, the economic benefit of the independent station shops is greatly influenced, and economic loss is brought to sellers.
In summary, the present inventors have made a corresponding search in consideration of solving the problem that traffic degradation is performed on all independent station stores in accordance with a "one-cut" degradation policy, so that traffic is lost by other independent vendors, and economic benefits of the independent station stores are greatly affected.
Disclosure of Invention
An object of the present application is to solve the above-mentioned problems and provide a stand-alone station search service degradation processing method, a corresponding apparatus, an electronic device, and a computer-readable storage medium.
In order to meet the purposes of the application, the application adopts the following technical scheme:
the application provides a method for processing degradation of search service of an independent station, which is suitable for one of the purposes of the application, and comprises the following steps:
transmitting a hot spot seller analysis instruction in response to a search service degradation request, uploading access flow data of each independent station store to a hot spot seller analysis module in real time, and detecting the access flow data of the independent station stores according to a standard score formula in the hot spot seller analysis module to determine one or more hot spot sellers;
responding to a search request monitoring instruction to acquire a search request queue aiming at the independent station store, judging whether the size of the search request queue in unit time exceeds a preset threshold, and storing independent station store data corresponding to the hot spot seller into a cache middleware when the size exceeds a preset threshold;
And responding to the search service request, acquiring independent station store data corresponding to the hot spot seller from the cache middleware, returning a search service result, and finishing the search service degradation processing of the independent station store.
Optionally, the step of detecting access traffic data of the independent station shops according to a standard score formula in the hot spot seller analysis module to determine one or more hot spot sellers includes the steps of:
acquiring the query rate per second of the current independent station store, the average value of the query rate per second of the current independent station store and the standard deviation;
and determining a difference value between the query rate per second of the current independent station store and the average value, and determining a hot spot seller in each independent station store according to a ratio between the difference value and the standard deviation.
Optionally, the step of detecting access traffic data of the independent station shops according to a standard score formula in the hot spot seller analysis module to determine one or more hot spot sellers includes the steps of:
acquiring access flow data of each independent station store in the hot spot seller analysis module;
dividing the access flow data of the independent station shops based on the sliding window, and determining the access frequency of the independent station shops according to the access flow data in the current window;
And determining a hot spot seller in the independent station store according to the access frequency.
Optionally, the step of dividing the access flow data of the independent station shops based on the sliding window and determining the access frequency of the independent station shops according to the access flow data in the current window comprises the following steps:
window sliding is carried out once at intervals of a certain preset time in the hot spot seller analysis module, and access flow data of independent station shops in the current window are determined;
and when the window is switched, calculating independent station stores with a preset number threshold value with higher access frequency from the access flow data in the current window, and pushing the independent station stores with the preset number threshold value to search services of the independent stations as hot spot sellers.
Optionally, after the step of storing the independent station store data corresponding to the hot spot seller in the cache middleware, the method includes the following steps:
detecting that the size of the search request queue in unit time in the independent station search service is lower than a preset quantity threshold;
and responding to a cache closing instruction acting on the independent station store data corresponding to the hot spot seller, wherein the independent station store data corresponding to the hot spot seller is not stored in the cache middleware.
Optionally, after the step of acquiring the search request queue for the independent station store in response to the search request monitoring instruction, the method includes the steps of:
determining a search request aiming at the independent station store, and calculating a response time corresponding to the search request of the independent station store;
judging whether the response time length corresponding to the search request of the independent station store exceeds a preset time length threshold, and if so, determining the search request as a timeout search request;
and judging whether the number of the overtime search requests exceeds a preset number threshold, and if so, storing the independent station store data corresponding to the hot spot sellers into a cache middleware.
Optionally, the step of obtaining, in response to a search service request, independent station store data corresponding to the hot spot seller from the cache middleware to return a search service result includes the following steps:
acquiring a search text contained in a current search service request, and determining one or more commodity identifications according to the search text;
and when the commodity identification hits the hot-spot merchant, directly returning the independent station store data corresponding to the commodity identification from the cache middleware, and when the commodity identification hits the non-hot-spot merchant, accessing a memory database to determine the independent station store data corresponding to the commodity identification and returning to the client.
An independent station search service degradation processing apparatus provided in accordance with another object of the present application includes:
the system comprises a hot spot seller analysis module, a search service degradation module and a storage module, wherein the hot spot seller analysis module is used for responding to a search service degradation request and sending a hot spot seller analysis instruction, uploading access flow data of each independent station store to the hot spot seller analysis module in real time, and detecting the access flow data of the independent station stores according to a standard score formula in the hot spot seller analysis module so as to determine one or more hot spot sellers;
the search request monitoring module is used for responding to a search request monitoring instruction to acquire a search request queue aiming at the independent station store, judging whether the size of the search request queue in unit time exceeds a preset threshold, and storing independent station store data corresponding to the hot spot seller into a cache middleware when the size exceeds a preset threshold;
and the search request response module is used for responding to a search service request, acquiring independent station store data corresponding to the hot spot seller from the cache middleware and returning a search service result to finish the search service degradation processing of the independent station store.
An electronic device adapted for another object of the present application comprises a central processor and a memory, said central processor being adapted to invoke the steps of running a computer program stored in said memory to perform the stand alone search service degradation processing method of the present application.
A computer-readable storage medium adapted to another object of the present application stores, in the form of computer-readable instructions, a computer program implemented according to the independent station search service degradation processing method, which when invoked by a computer, executes steps included in the corresponding method.
Compared with the prior art, the method and the system have the advantages that the flow degradation is carried out on all independent station shops according to the degradation strategy of 'one-cut' in the prior art, so that other independent shops lose flow, economic benefits of the independent station shops are greatly affected, and the like.
Drawings
The foregoing and/or additional aspects and advantages of the application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is an exemplary network architecture employed by an independent station search service in an embodiment of the present application;
fig. 2 is a flow chart of a method for processing degradation of search service of an independent station according to an embodiment of the present application;
FIG. 3 is a flow chart of detecting access flow data of independent station shops according to a standard score formula to determine a hot spot vendor according to an embodiment of the application;
FIG. 4 is a flow chart of a method for determining hot spot sellers in independent station stores according to access frequency in an embodiment of the present application;
FIG. 5 is a schematic flow chart of calculating independent station shops with higher access frequency from access flow data in a current window in an embodiment of the application;
FIG. 6 is a flowchart of a caching middleware for closing a hot spot vendor according to an embodiment of the present application;
FIG. 7 is a flowchart of determining a timeout search request according to a response time of a search request of an independent station store according to an embodiment of the present application;
FIG. 8 is a flowchart of acquiring independent store data corresponding to a hot spot seller and a non-hot spot seller to return a search service result according to an embodiment of the present application;
FIG. 9 is a schematic block diagram of an apparatus for stand alone search service degradation processing in an embodiment of the present application;
fig. 10 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the application.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless expressly stated otherwise, as understood by those skilled in the art. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. The term "and/or" as used herein includes all or any element and all combination of one or more of the associated listed items.
It will be understood by those skilled in the art that all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs unless defined otherwise. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
As used herein, "client," "terminal device," and "terminal device" are understood by those skilled in the art to include both devices that include only wireless signal receivers without transmitting capabilities and devices that include receiving and transmitting hardware capable of two-way communication over a two-way communication link. Such a device may include: a cellular or other communication device such as a personal computer, tablet, or the like, having a single-line display or a multi-line display or a cellular or other communication device without a multi-line display; a PCS (Personal Communications Service, personal communication system) that may combine voice, data processing, facsimile and/or data communication capabilities; a PDA (Personal Digital Assistant ) that can include a radio frequency receiver, pager, internet/intranet access, web browser, notepad, calendar and/or GPS (Global Positioning System ) receiver; a conventional laptop and/or palmtop computer or other appliance that has and/or includes a radio frequency receiver. As used herein, "client," "terminal device" may be portable, transportable, installed in a vehicle (aeronautical, maritime, and/or land-based), or adapted and/or configured to operate locally and/or in a distributed fashion, at any other location(s) on earth and/or in space. As used herein, a "client," "terminal device," or "terminal device" may also be a communication terminal, an internet terminal, or a music/video playing terminal, for example, a PDA, a MID (Mobile Internet Device ), and/or a mobile phone with music/video playing function, or may also be a device such as a smart tv, a set top box, or the like.
The application refers to hardware such as a server, a client, a service node, and the like, which essentially is an electronic device with personal computer and other functions, and is a hardware device with necessary components disclosed by von neumann principles such as a central processing unit (including an arithmetic unit and a controller), a memory, an input device, an output device, and the like, wherein a computer program is stored in the memory, and the central processing unit calls the program stored in the memory to run, executes instructions in the program, and interacts with the input and output devices, thereby completing specific functions.
It should be noted that the concept of the present application, called "server", is equally applicable to the case of server clusters. The servers should be logically partitioned, physically separate from each other but interface-callable, or integrated into a physical computer or group of computers, according to network deployment principles understood by those skilled in the art. Those skilled in the art will appreciate this variation and should not be construed as limiting the implementation of the network deployment approach of the present application.
The various embodiments of the present application to be disclosed herein, unless the plain text indicates a mutually exclusive relationship with each other, the technical features related to the various embodiments may be cross-combined to flexibly construct a new embodiment as long as such combination does not depart from the inventive spirit of the present application and can satisfy the needs in the art or solve the deficiencies in the prior art. This variant will be known to the person skilled in the art.
The method for processing the degradation of the independent station searching service can be programmed into a computer program product, deployed in a client or a server for operation, for example, in the application scene of the electronic commerce platform, the method is generally deployed in the server for implementation, and can be executed by accessing an interface opened after the computer program product is operated and performing man-machine interaction with the process of the computer program product through a graphical user interface.
Referring to fig. 1 and 2, in one embodiment, the method for processing degradation of search service of an independent station according to the present application includes the following steps:
step S10, a hot spot seller analysis instruction is sent in response to a search service degradation request, access flow data of each independent station store is uploaded to a hot spot seller analysis module in real time, and the access flow data of each independent station store is detected according to a standard score formula in the hot spot seller analysis module so as to determine one or more hot spot sellers;
The technical scheme of the application takes the operation environment of the e-commerce service platform as the application environment, wherein the e-commerce service platform can be an e-commerce service platform for open independent site service, and is typical, for example, a cross-border e-commerce service platform. Such platforms, because of the need to consider the network environment between regions worldwide and the independence between merchants, allow e-commerce service platforms to serve a large number of such independent sites by configuring each merchant's store as an individual independent site. The independent station shops are independent electric business stations in the electric business service platform, are different from the electric business shops in the traditional electric business platform, have independent electric business online service, can be regarded as a traditional electric business platform, are different from the user groups owned by the buyer users of the independent station shops in the traditional electric business platform, provide corresponding network electric business functions for the electric business independent stations under the platform, and are core components of the independent station severe dependence in the operation background of the independent station, and tens of thousands of independent station shops share the search service, so that the individual independent station shops often encounter serious threat to the search service caused by abnormal burst flow caused by crawlers or promotion activities.
The access flow data refers to the number of user accesses of each independent station shop, the server counts the access flow data of each independent station shop, the statistical time length range of the access flow data can be 3 minutes, 5 minutes or 10 minutes, etc., the skilled person can set the statistical time length range of the access flow data according to the actual situation as required, for example, the access flow data can be counted in seconds, the statistical time length range is set to 30 seconds, 45 seconds or 60 seconds, etc., the access flow data can also refer to the number of requests of the user to access the independent station search service, so as to perform the subsequent search service degradation processing on the access flow data.
The method comprises the steps that independent station search service responds to a search service degradation request to send a hotspot seller analysis instruction, access flow data corresponding to each independent station store in an electronic commerce platform are counted in real time in the search service of the independent station, the access flow data corresponding to each independent station store are uploaded to a hotspot seller analysis module in real time, the access flow data of each independent station store are detected according to a standard Score formula in the hotspot seller analysis module to determine one or more hotspot sellers, the standard Score formula can be a Z-Score formula and the like, the access flow data comprise the query rate per second and the like of each independent station store, the hotspot seller analysis module obtains the average value and standard deviation of the query rate per second in the access flow data corresponding to each independent station store pushed by the independent station search service, the difference value between the query rate per second of the current independent station store and the average value of the query rate per second of the current independent station store is determined, the ratio between the difference value and the query rate per second of the current independent station store can be selected as a plurality of hotspot sellers according to the standard, and the ratio of the independent stores can be ranked to the hotspot sellers.
Step S20, a search request queue for the independent station store is obtained in response to a search request monitoring instruction, whether the size of the search request queue in unit time exceeds a preset threshold is judged, and when the size exceeds the preset threshold, independent station store data corresponding to the hot spot seller are stored in a cache middleware;
the independent station search service refers to a commodity search service provided by an independent station electronic commerce platform for each independent station store under the platform, the search service is generally a common search service, namely, a search request in each independent station store is responded by the same search service and corresponding search results are determined to be pushed, specifically, a consumer user can search a commodity object on the independent station store through the search service, a consumer client can trigger to generate a search request containing the search text after inputting the corresponding search text through a search function of the independent station store where the consumer client is located, the search request is pushed to a server, the server obtains one or more commodity objects corresponding to the search text through the search service and pushes the one or more commodity objects as search results to the consumer client, and the consumer client outputs the commodity objects to a graphical user interface for display after receiving the commodity objects, so that the consumer user can conveniently browse and select the commodity objects.
After determining the hotspot seller in each independent station store, monitoring search request queues in an independent station search service, where the search request queues refer to the number of requests queued in a unit time in the independent station search service, and obtaining search request queues for the independent station store in response to a search request monitoring instruction, generally, the search request is processed in the independent station search service at a millisecond level and returns a search result, continuously monitoring the search request queue size in the independent station search service, determining whether the search request queue size in the unit time exceeds a preset threshold, where the unit time may be 1 or 2 seconds, and the like, in a time range in seconds, such as 30 or 50 milliseconds, and the preset threshold may be 10, 15, or 20, and the like, and a person skilled in the art may determine the unit time and the preset threshold according to actual conditions, without limitation, and store the corresponding data in the independent station store in the intermediate store when the search request queue in the independent station search service exceeds the preset threshold.
And step S30, acquiring independent station store data corresponding to the hot spot sellers from the cache middleware in response to the search service request, and returning a search service result to complete the search service degradation processing of the independent station store.
Specifically, the average number of queued requests per second in a search request queue in the independent station search service is smaller than 10, when the search request queue size in the independent station search service exceeds 10, the independent station search service responds to the search request and overtakes, and the independent station search service is in an unhealthy state, so that the load condition of the search service is judged according to the search request queue size, when the search request queue size exceeds 10, independent station store data corresponding to a hot spot seller are stored in a cache middleware, the independent station store data corresponding to the hot spot seller is acquired from the cache middleware in response to a search service request, and a search service result is returned, and the independent station search service directly returns independent station store data corresponding to the search request from the cache middleware to determine a search service result, when the size of the search request queue is lower than 10, the independent station store data corresponding to the search request is returned from a memory database to determine the search service result, the memory database comprises an elastic search engine and the like, a server pushes one or more commodity objects in the search service result to the consumer client through the independent station search service, and the consumer client outputs the commodity objects to a graphical user interface for display after receiving the commodity objects, so that a consumer user can conveniently browse and purchase the commodity objects.
Compared with the prior art, the method and the system can automatically close the cache of the seller flow when the query queue is not blocked, so that the corresponding flow of the independent stores can be degraded and processed in a targeted manner according to the actual flow condition of each independent store, the non-hotspot buyers can normally update data in real time, the serious threat caused by abnormal burst flow of each independent store to the search service is avoided, the search service shared in the independent store electric platform is prevented from being seriously threatened, the search service shared in the independent store electric platform is prevented from being blocked due to the fact that the query queue is in real time, the search service shared in the independent store electric platform is prevented from being blocked when the query queue is blocked, the search service of each independent store is automatically closed when the query queue is monitored to be not blocked, the corresponding flow of each independent store can be degraded and processed in a targeted manner according to the actual flow condition of each independent store, the non-hotspot buyers can be prevented from being normally updated, the problem that the search service shared in the independent store is seriously caused by abnormal burst flow of each independent store is avoided, and the commodity consumption of the independent store is prevented from being blocked due to the fact that the search service is blocked in the independent store, and the commodity consumption of the system is prevented from being blocked, and the commodity consumption of the independent store is prevented from being lost, and the commodity consumption of the system is ensured.
Referring to fig. 3, in the hot spot seller analysis module, the step of detecting access traffic data of the independent station store according to a standard score formula to determine one or more hot spot sellers includes the steps of:
step S101, acquiring the query rate per second of the current independent station store, the average value of the query rate per second of the current independent station store and the standard deviation;
the independent station search service responds to the search service degradation request and sends a hotspot seller analysis instruction, the search service of the independent station counts the query rate per second in the access flow data corresponding to each independent station store in the electronic commerce platform in real time, and uploads the query rate per second in the access flow data corresponding to each independent station store to the hotspot seller analysis module in real time, and the hotspot seller analysis module obtains the query rate per second of the current independent station store, the average value of the query rate per second of the current independent station store and the standard deviation.
Step S103, determining the difference value between the query rate per second of the current independent station store and the average value, and determining the hot spot seller in each independent station store according to the ratio between the difference value and the standard deviation.
After acquiring the query rate per second of the current independent station store, the average value of the query rate per second of the current independent station store and the standard deviation, determining a difference value between the query rate per second of the current independent station store and the average value of the query rate per second of the current independent station store, determining one or more hot spot sellers in each independent station store according to the ratio value and the standard deviation of the query rate per second of the current independent station store.
Specifically, hot spot sellers in each individual station store may be identified by a Z-Score formula: z= (X- μ)/σ, where X represents the query rate per second (QPS) of the individual station stores, μ represents the average value of the query rate per second (QPS) of the individual station stores, σ represents the standard deviation of the query rate per second (QPS) of the individual station stores, the standard Score value of the query rate per second (QPS) of the individual station stores, i.e. Z-Score value, is calculated from the average value of the query rate per second (QPS) of the individual station stores, and the standard deviation of the query rate per second (QPS) of the individual station stores, and if some individual station stores deviate significantly from the average level, the individual station stores are regarded as sellers, a preset threshold value may be set to be 2, 2.5 or 3, etc., and the skilled person may determine the preset threshold value as needed according to the actual situation, which is not limited. If the Z-Score value exceeds a preset threshold, the query rate per second of the current independent station store is obviously deviated from the average level, the current independent station store is determined to be a hot spot seller, and if the Z-Score value is lower than the preset threshold, the query rate per second of the current independent station store is not obviously deviated from the average level, and the current independent station store is determined to be a non-hot spot seller.
According to the embodiment, under the condition of the independent station, the search service timeout is basically caused by the excessively high load of the search service due to the sudden increase of the flow of the individual shops, and the access flow data of each independent station shop is analyzed according to the Z-Score value, so that the hot spot sellers can be automatically, quickly and accurately analyzed from each independent station shop, the success rate of screening the hot spot sellers is remarkably improved, the success rate is up to more than 95%, the manpower and material resources are greatly saved, the efficiency is high, the problem of the stability of the search service caused by the abnormal flow of the hot spot sellers can be effectively solved, and the problem of service system breakdown caused by the fact that the search service shared in the independent station electric business platform processes the high-concurrency search request of the hot spot sellers with the abnormal flow is prevented.
Referring to fig. 4, in the hot spot seller analysis module, the step of detecting access traffic data of the independent station shops according to a standard score formula to determine one or more hot spot sellers includes the following steps:
step S105, access flow data of each independent station shop are obtained from the hot spot seller analysis module;
the hot spot seller analysis module can acquire access flow data corresponding to each independent station store uploaded by the independent station search service in real time through carrying out interface burial in the independent station search service so as to acquire the access flow data of each independent station store. Specifically, search access information of each independent station store is obtained at the interface buried point, and access flow data of each independent station store is written into the hot spot seller analysis module.
Step S107, dividing the access flow data of the independent station shops based on the sliding window, and determining the access frequency of the independent station shops according to the access flow data in the current window;
specifically, the division of the access flow data of the independent station stores is performed based on a sliding window, and window sliding can be performed in the hotspot seller analysis module every other preset time, each window is a queue, a person skilled in the art can determine the preset time according to actual conditions as required, the preset time is not limited herein, the queue can be a FIFO, LFU or LRU queue, and the like, the access frequency of the independent station stores is determined according to the access flow data in the current window in the queue, and of course, the query rate per second corresponding to each independent station store can also be determined according to the access flow data in the current window.
Step S109, determining a hot spot seller in the independent station store according to the access frequency.
After the access frequency of each independent station store is determined, the access frequency can be ranked from large to small, and a plurality of independent station stores with the front ranking are screened out according to the ratio to serve as hot spot sellers, so that the hot spot sellers in each independent station store are determined.
On the basis of any embodiment of the present application, referring to fig. 5, the steps of dividing the access flow data of the independent station store based on the sliding window, and determining the access frequency of the independent station store according to the access flow data in the current window include the following steps:
step S1071, window sliding is carried out once every a certain preset time period in the analysis module of the hot spot seller, and access flow data of independent station shops in the current window are determined;
because the search service requests of the independent station shops become changeable, the access flow data of the independent station shops can be divided based on sliding windows, the hot spot sellers can be refreshed in the tens of thousands of search requests, old hot spot sellers can be eliminated after the last window is settled, new hot spot sellers can be born, window sliding is carried out in the hot spot seller analysis module for a certain preset time period every 2 seconds, 3 seconds or 5 seconds so as to cope with the dynamic change of the access flow data, window sliding is carried out in the hot spot seller analysis module every 3 seconds, each window is a queue, the search access information of each independent station shop acquired at the current moment is stored in the current LFU queue, the search access information acquired based on the embedded point of an interface is updated in the current LFU queue within 3 seconds, and the acquired search access information is downwards slid to the next window after 3 seconds, namely the acquired search access information is updated in the next LFU queue, and the search access information of each independent station shop in the current LFU queue is the corresponding access flow information of each independent station shop.
Step S1073, when the window is switched, calculating independent station stores with a preset number threshold with higher access frequency from the access flow data in the current window, and pushing the independent station stores with the preset number threshold to a search service of the independent station as a hotspot seller.
The access flow data in the current window is obtained within 3 seconds, when the current window is switched to the next window, the access times of all independent station stores obtained in the current window are obtained, the independent station stores with higher access frequency and a preset number threshold are calculated through a priority queue, the preset number threshold can be determined according to actual conditions by the technology according to requirements, the method is not limited in this case, and the independent station stores with the preset number threshold are used as hot spot sellers and pushed to search services of the independent stations.
According to the embodiment, as the search service requests of the independent station shops become changeable, the access flow data of the independent station shops are segmented based on the sliding window, the hot spot sellers can be refreshed in the tens of thousands of search requests, old hot spot sellers can be eliminated after the last window is settled, new hot spot sellers can be born, the access flow data of the independent station shops in the current window are determined by sliding the window once every certain preset time, the access flow data of the independent station shops in the current window can be rapidly and accurately detected in the sliding window with the preset time, the hot spot sellers in the independent station shops can be automatically and efficiently detected, store data corresponding to the hot spot sellers are cached, the pressure brought by the abnormal burst flow to the independent station search service database can be effectively weakened, the burst flow of the hot spot sellers is purposefully weakened, serious threat is caused to the independent station search service, and the system crash caused by the concurrent search service requests of the high search service flow shared in the independent station electric business platform is prevented.
On the basis of any embodiment of the present application, referring to fig. 6, after the step of storing the independent station store data corresponding to the hot spot seller in the cache middleware, the method includes the following steps:
step S201, detecting that the size of the search request queue in unit time in the independent station search service is lower than a preset quantity threshold;
after storing the independent station store data corresponding to the hot spot seller into the cache middleware, the independent station search service directly returns the independent station store data corresponding to the search request from the cache middleware to determine a search service result, in order to save unnecessary disk space and memory space expense and avoid losing the seller data of the independent station store, the search request queue size in the independent station search service is continuously detected, whether the search request queue size in unit time exceeds a preset threshold value is judged, and when the search request queue size in the independent station search service is detected to be lower than the preset threshold value in unit time, the independent station store data corresponding to the hot spot seller is not required to be stored in the cache middleware.
And step 203, responding to a buffer closing instruction acting on the independent station store data corresponding to the hot spot seller, wherein the independent station store data corresponding to the hot spot seller is not stored in the buffer middleware.
After detecting that the size of the search request queue in unit time in the independent station search service is lower than a preset quantity threshold, responding to a cache closing instruction acting on independent station store data corresponding to the hot spot seller, wherein the independent station store data corresponding to the hot spot seller is not stored in a cache middleware any more, that is, the independent station search service directly returns all independent station store data corresponding to the search request from a memory database to determine a search service result, and the independent station store data does not need to return the search service result from the cache middleware.
According to the embodiment, the search request queue size in the independent station search service is continuously detected, and after the search request queue size in the unit time in the independent station search service is detected to be lower than the preset number threshold, the cache of the hot spot seller is closed, so that unnecessary disk space and memory space expenditure can be saved, the loss of seller data of independent station shops is avoided, and the economic benefit of each independent station shop is ensured.
Referring to fig. 7, after the step of obtaining a search request queue for the independent station store in response to a search request monitoring instruction, the method comprises the following steps:
Step S2001, determining a search request for the independent station store, and calculating a response time corresponding to the search request for the independent station store;
the search requests corresponding to the independent station shops can be obtained in real time by carrying out interface burial points in the independent station search service so as to determine the search requests aiming at the independent station shops, and the response time in unit time corresponding to the search requests of the independent station shops is calculated. Specifically, the search request of each independent station shop is obtained at the interface buried point, and the response time length in the unit time corresponding to each independent station shop is written into the independent station search service, where the response time length refers to the time length consumed by the independent station search service to match the corresponding search service result according to the search text included in the search request, and the unit time may be in a time range of 1 or 2 seconds and the like in units of seconds, and of course, may also be set in a time range of 30 or 50 milliseconds and the like in units of milliseconds, and is not limited herein.
Step 2003, judging whether the response time length corresponding to the search request of the independent station shop exceeds a preset time length threshold, and if so, determining the search request as a timeout search request;
The independent station search service response timing detection event judges whether the response time length of the search request corresponding to each independent station store exceeds a preset time length threshold, and when the response time length of the search request corresponding to each independent station store exceeds the corresponding preset time length threshold, the independent station store to which the search request belongs is characterized by having a flow abnormality problem, and the request response speed of the independent station search service is affected, so that the search request needs to be determined to be a timeout search request for recording.
And step S2005, judging whether the number of the overtime search requests exceeds a preset number threshold, and if so, storing the independent station store data corresponding to the hot spot sellers into a cache middleware.
Continuously judging whether a plurality of search requests of the independent station shops with the flow abnormality problem are overtime search requests or not, determining the number of the overtime search requests of the independent station shops with the flow abnormality problem, determining the independent station shops with the flow abnormality problem as hot spot sellers when the number of the overtime search requests exceeds a preset number threshold, storing independent station shop data corresponding to the hot spot sellers into a cache middleware, and directly returning the independent station shop data corresponding to the search requests from the cache middleware by the independent station search service to determine a search service result.
According to the embodiment, the number of overtime search requests with overtime response time of each independent station store is determined, whether each independent station store has a response overtime problem or not is detected, so that the independent station store with the response overtime problem is determined as a hot spot seller, search service degradation processing is further carried out on the hot spot seller, the stability of the independent station search service is ensured, serious threat to the search service caused by abnormal burst flow of each independent station store is avoided, and the influence of the high-concurrency search request of the hot spot seller on the system stability of the search service is avoided.
On the basis of any embodiment of the present application, referring to fig. 8, the step of obtaining, in response to a search service request, independent station store data corresponding to the hot spot vendor from the cache middleware and returning a search service result includes the following steps:
step 301, acquiring a search text contained in a current search service request, and determining one or more commodity identifications according to the search text;
the search text refers to a text edited and input by a page of an independent station at a consumer client side, so that commodity objects corresponding to the search text in the independent station are searched for online shopping, the search text contained in a current search service request is obtained, and one or more commodity identifications are determined according to the search text.
And step S303, when the commodity identification hits the hot spot merchant, the independent station store data corresponding to the commodity identification is directly returned from the cache middleware, and when the commodity identification hits the non-hot spot merchant, the independent station store data corresponding to the commodity identification is accessed to a memory database to determine and returned to the client.
Store sellers in the independent station e-commerce platform have large price reduction commodities or newly exploded commodities, so that consumers buy the commodities from the front, the flow of individual independent station stores is increased suddenly, the search service system is possibly crashed, the hot spot sellers in the independent station stores are determined according to the Z-Score value in a hot spot seller analysis module, if the Z-Score value exceeds a preset threshold value, the query rate per second of the current independent station store is obviously deviated from the average level, the current independent station store is determined to be the hot spot seller, if the Z-Score value is lower than the preset threshold value, the query rate per second of the current independent station store is not obviously deviated from the average level, and the current independent station store is determined to be the non-hot spot seller. And after determining the commodity identification according to the search text contained in the search service request, directly returning independent station store data corresponding to the commodity identification from the cache middleware to determine a commodity object when the commodity identification hits the hot spot merchant, and accessing a memory database to determine independent station store data corresponding to the commodity identification to determine the commodity object when the commodity identification hits the non-hot spot merchant, wherein a server acquires one or more commodity objects corresponding to the search text through the independent station search service and pushes the commodity object to the consumer client as a search result, and the consumer client outputs the commodity object to a graphical user interface for display after receiving the commodity object so as to facilitate the consumer user to browse and purchase the commodity object.
According to the embodiment, the commodity searching efficiency of each independent station shop can be ensured, the stability of the independent station searching service is ensured, and the problem that the independent station searching service in the platform cannot provide a commodity searching function for a consumer user due to collapse of the searching service is avoided, so that shopping experience of the consumer in the independent station E-commerce platform is influenced, and economic benefits of each independent station shop are ensured.
Referring to fig. 9, an apparatus for processing degradation of stand-alone search service according to one of the objects of the present application includes a hot spot vendor analysis module 1100, a search request monitoring module 1200, and a search request response module 1300. The hotspot seller analysis module 1100 is configured to send a hotspot seller analysis instruction in response to the search service degradation request, upload access flow data of each independent station store to the hotspot seller analysis module in real time, and detect the access flow data of the independent station stores according to a standard score formula in the hotspot seller analysis module to determine one or more hotspot sellers; the search request monitoring module 1200 is configured to obtain a search request queue for the independent station store in response to a search request monitoring instruction, determine whether the size of the search request queue in unit time exceeds a preset threshold, and store the independent station store data corresponding to the hot spot seller in a cache middleware when the size exceeds the preset threshold; the search request response module 1300 is configured to obtain, in response to a search service request, independent station store data corresponding to the hot spot vendor from the cache middleware, and return a search service result, thereby completing search service degradation processing of the independent station store.
On the basis of any embodiment of the present application, the hotspot seller analysis module 1100 includes:
an acquisition unit configured to acquire an inquiry rate per second of the current independent station store, an average value of the inquiry rates per second of the current independent station store, and a standard deviation;
and the hot spot seller determining unit is used for determining the difference value between the query rate per second of the current independent station store and the average value, and determining the hot spot seller in each independent station store according to the ratio between the difference value and the standard deviation.
On the basis of any embodiment of the present application, the hotspot seller analysis module 1100 includes:
the access flow obtaining unit is used for obtaining access flow data of each independent station shop in the hot spot seller analysis module;
an access frequency determining unit configured to divide access flow data of the independent station stores based on the sliding window, and determine an access frequency of the independent station stores according to the access flow data in the current window;
and the hot spot seller determining unit is used for determining hot spot sellers in the independent station shops according to the access frequency.
On the basis of any embodiment of the present application, the access frequency determining unit includes:
The window sliding subunit is arranged for performing window sliding once at intervals of a certain preset time in the hot spot seller analysis module, and determining access flow data of independent station shops in the current window;
and the hot spot seller pushing subunit is configured to calculate independent station shops with a preset number threshold value with higher access frequency from the access flow data in the current window when the window is switched, and push the independent station shops with the preset number threshold value to search services of the independent stations as the hot spot seller.
On the basis of any embodiment of the present application, the search request monitoring module 1200 includes:
the detection unit is used for detecting that the size of the search request queue in unit time in the independent station search service is lower than a preset quantity threshold value;
and the cache closing unit is used for responding to a cache closing instruction acting on the independent station store data corresponding to the hot spot seller, and the independent station store data corresponding to the hot spot seller is not stored in the cache middleware.
On the basis of any embodiment of the present application, the search request monitoring module 1200 includes:
a response time length calculation unit configured to determine a search request for the independent station store, and calculate a response time length corresponding to the search request for the independent station store;
The timeout request determining unit is configured to determine whether a response time length corresponding to a search request of the independent station store exceeds a preset time length threshold, and if the response time length exceeds the preset time length threshold, the search request is determined to be a timeout search request;
the data storage unit is used for judging whether the number of the overtime search requests exceeds a preset number threshold, and if so, storing the independent station store data corresponding to the hot spot sellers into the cache middleware.
On the basis of any embodiment of the present application, the search request response module 1300 includes:
the commodity identification determining module is used for acquiring a search text contained in the current search service request and determining one or more commodity identifications according to the search text;
and the store data acquisition module is used for directly returning the independent station store data corresponding to the commodity identifier from the cache middleware when the commodity identifier hits the hot spot merchant, and accessing the memory database to determine the independent station store data corresponding to the commodity identifier and returning the independent station store data to the client when the commodity identifier hits the non-hot spot merchant.
On the basis of any embodiment of the present application, referring to fig. 10, another embodiment of the present application further provides an electronic device, where the electronic device may be implemented by a computer device, and as shown in fig. 10, an internal structure of the computer device is schematically shown. The computer device includes a processor, a computer readable storage medium, a memory, and a network interface connected by a system bus. The computer readable storage medium of the computer device stores an operating system, a database and computer readable instructions, the database can store a control information sequence, and when the computer readable instructions are executed by a processor, the processor can realize an independent station search service degradation processing method. The processor of the computer device is used to provide computing and control capabilities, supporting the operation of the entire computer device. The memory of the computer device may have stored therein computer readable instructions that, when executed by the processor, cause the processor to perform the stand alone search service degradation processing method of the present application. The network interface of the computer device is for communicating with a terminal connection. It will be appreciated by those skilled in the art that the structure shown in FIG. 10 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
The processor in this embodiment is configured to execute specific functions of each module and its sub-modules in fig. 9, and the memory stores program codes and various types of data required for executing the above modules or sub-modules. The network interface is used for data transmission between the user terminal or the server. The memory in this embodiment stores program codes and data required for executing all modules/sub-modules in the stand-alone station search service degradation processing apparatus of the present application, and the server can call the program codes and data of the server to execute the functions of all sub-modules.
The present application also provides a storage medium storing computer readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of the stand alone station search service degradation processing method according to any of the embodiments of the present application.
The present application also provides a computer program product comprising computer programs/instructions which when executed by one or more processors implement the steps of the method for stand alone search service degradation processing according to any of the embodiments of the present application.
Those skilled in the art will appreciate that all or part of the processes implementing the methods of the above embodiments of the present application may be implemented by a computer program for instructing relevant hardware, where the computer program may be stored on a computer readable storage medium, where the program, when executed, may include processes implementing the embodiments of the methods described above. The storage medium may be a computer readable storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a random access Memory (Random Access Memory, RAM).
The foregoing is only a partial embodiment of the present application, and it should be noted that it will be apparent to those skilled in the art that modifications and adaptations can be made without departing from the principles of the present application, and such modifications and adaptations are intended to be comprehended within the scope of the present application.
In summary, the application can avoid serious threat to search service caused by sudden flow abnormality of individual independent station shops, prevent the shared search service in the independent station E-commerce platform from collapsing a service system due to processing search requests of hot spot sellers with abnormal flow concurrency, simultaneously avoid flow loss of other non-hot spot sellers with normal flow in the independent station E-commerce platform, ensure commodity search efficiency of each independent station shop, ensure stability of the independent station search service, and avoid that the independent station search service in the platform cannot provide commodity search function for consumer users due to collapse of the search service, thereby influencing shopping experience of consumers in the independent station E-commerce platform and ensuring economic benefit of each independent station shop.
Claims (10)
1. A method for processing degradation of search service of an independent station, comprising the steps of:
Transmitting a hot spot seller analysis instruction in response to a search service degradation request, uploading access flow data of each independent station store to a hot spot seller analysis module in real time, and detecting the access flow data of the independent station stores according to a standard score formula in the hot spot seller analysis module to determine one or more hot spot sellers;
responding to a search request monitoring instruction to acquire a search request queue aiming at the independent station store, judging whether the size of the search request queue in unit time exceeds a preset threshold, and storing independent station store data corresponding to the hot spot seller into a cache middleware when the size exceeds a preset threshold;
and responding to the search service request, acquiring independent station store data corresponding to the hot spot seller from the cache middleware, returning a search service result, and finishing the search service degradation processing of the independent station store.
2. The stand-alone search service degradation processing method of claim 1, wherein the step of detecting access traffic data of the stand-alone store in the hot spot seller analysis module according to a standard score formula to determine one or more hot spot sellers comprises the steps of:
Acquiring the query rate per second of the current independent station store, the average value of the query rate per second of the current independent station store and the standard deviation;
and determining a difference value between the query rate per second of the current independent station store and the average value, and determining a hot spot seller in each independent station store according to a ratio between the difference value and the standard deviation.
3. The stand-alone search service degradation processing method of claim 1, wherein the step of detecting access traffic data of the stand-alone store in the hot spot seller analysis module according to a standard score formula to determine one or more hot spot sellers comprises the steps of:
acquiring access flow data of each independent station store in the hot spot seller analysis module;
dividing the access flow data of the independent station shops based on the sliding window, and determining the access frequency of the independent station shops according to the access flow data in the current window;
and determining a hot spot seller in the independent station store according to the access frequency.
4. The individual station search service degradation processing method according to claim 3, wherein the step of dividing the access traffic data of the individual station store based on a sliding window and determining the access frequency of the individual station store from the access traffic data in the current window comprises the steps of:
Window sliding is carried out once at intervals of a certain preset time in the hot spot seller analysis module, and access flow data of independent station shops in the current window are determined;
and when the window is switched, calculating independent station stores with a preset number threshold value with higher access frequency from the access flow data in the current window, and pushing the independent station stores with the preset number threshold value to search services of the independent stations as hot spot sellers.
5. The method for processing the degradation of the stand-alone search service according to claim 1, wherein after the step of storing stand-alone store data corresponding to the hot spot seller in the cache middleware, comprising the steps of:
detecting that the size of the search request queue in unit time in the independent station search service is lower than a preset quantity threshold;
and responding to a cache closing instruction acting on the independent station store data corresponding to the hot spot seller, wherein the independent station store data corresponding to the hot spot seller is not stored in the cache middleware.
6. The stand-alone station search service degradation processing method according to claim 1, wherein after the step of acquiring a search request queue for the stand-alone station store in response to a search request monitoring instruction, comprising the steps of:
Determining a search request aiming at the independent station store, and calculating a response time corresponding to the search request of the independent station store;
judging whether the response time length corresponding to the search request of the independent station store exceeds a preset time length threshold, and if so, determining the search request as a timeout search request;
and judging whether the number of the overtime search requests exceeds a preset number threshold, and if so, storing the independent station store data corresponding to the hot spot sellers into a cache middleware.
7. The individual station search service degradation processing method according to claims 1 to 6, wherein the step of acquiring individual station store data corresponding to the hot spot seller from the cache middleware in response to a search service request returns a search service result, comprises the steps of:
acquiring a search text contained in a current search service request, and determining one or more commodity identifications according to the search text;
and when the commodity identification hits the hot-spot merchant, directly returning the independent station store data corresponding to the commodity identification from the cache middleware, and when the commodity identification hits the non-hot-spot merchant, accessing a memory database to determine the independent station store data corresponding to the commodity identification and returning to the client.
8. An independent station search service degradation processing apparatus, comprising:
the system comprises a hot spot seller analysis module, a search service degradation module and a storage module, wherein the hot spot seller analysis module is used for responding to a search service degradation request and sending a hot spot seller analysis instruction, uploading access flow data of each independent station store to the hot spot seller analysis module in real time, and detecting the access flow data of the independent station stores according to a standard score formula in the hot spot seller analysis module so as to determine one or more hot spot sellers;
the search request monitoring module is used for responding to a search request monitoring instruction to acquire a search request queue aiming at the independent station store, judging whether the size of the search request queue in unit time exceeds a preset threshold, and storing independent station store data corresponding to the hot spot seller into a cache middleware when the size exceeds a preset threshold;
and the search request response module is used for responding to a search service request, acquiring independent station store data corresponding to the hot spot seller from the cache middleware and returning a search service result to finish the search service degradation processing of the independent station store.
9. An electronic device comprising a central processor and a memory, characterized in that the central processor is arranged to invoke a computer program stored in the memory for performing the steps of the method according to any of claims 1 to 7.
10. A computer-readable storage medium, characterized in that it stores in the form of computer-readable instructions a computer program implemented according to the method of any one of claims 1 to 7, which, when invoked by a computer, performs the steps comprised by the corresponding method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310689309.5A CN116701762A (en) | 2023-06-09 | 2023-06-09 | Method, device, equipment and medium for processing degradation of search service of independent station |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310689309.5A CN116701762A (en) | 2023-06-09 | 2023-06-09 | Method, device, equipment and medium for processing degradation of search service of independent station |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116701762A true CN116701762A (en) | 2023-09-05 |
Family
ID=87835300
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310689309.5A Pending CN116701762A (en) | 2023-06-09 | 2023-06-09 | Method, device, equipment and medium for processing degradation of search service of independent station |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116701762A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117520686A (en) * | 2023-11-20 | 2024-02-06 | 广州方舟信息科技有限公司 | Search preloading method, device, electronic equipment and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009265864A (en) * | 2008-04-24 | 2009-11-12 | Nec Corp | Shop search server, shop search system having the same, and shop information provision method |
| US20130304723A1 (en) * | 2012-05-11 | 2013-11-14 | International Business Machines Corporation | Changing the compression level of query plans |
| CN105354193A (en) * | 2014-08-19 | 2016-02-24 | 阿里巴巴集团控股有限公司 | Caching method, query method, caching apparatus and query apparatus for database data |
| CN111897838A (en) * | 2020-06-28 | 2020-11-06 | 中国建设银行股份有限公司 | Transaction query method and device, electronic equipment and readable storage medium thereof |
| CN115186164A (en) * | 2022-07-07 | 2022-10-14 | 广州华多网络科技有限公司 | Search request control method and device, equipment, medium and product thereof |
| CN115664818A (en) * | 2022-10-26 | 2023-01-31 | 广州欢聚时代信息科技有限公司 | Independent station access flow control method and device, equipment, medium and product thereof |
| CN115712677A (en) * | 2022-09-08 | 2023-02-24 | 广州欢聚时代信息科技有限公司 | Search data synchronization method and device, equipment, medium and product thereof |
-
2023
- 2023-06-09 CN CN202310689309.5A patent/CN116701762A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009265864A (en) * | 2008-04-24 | 2009-11-12 | Nec Corp | Shop search server, shop search system having the same, and shop information provision method |
| US20130304723A1 (en) * | 2012-05-11 | 2013-11-14 | International Business Machines Corporation | Changing the compression level of query plans |
| CN105354193A (en) * | 2014-08-19 | 2016-02-24 | 阿里巴巴集团控股有限公司 | Caching method, query method, caching apparatus and query apparatus for database data |
| CN111897838A (en) * | 2020-06-28 | 2020-11-06 | 中国建设银行股份有限公司 | Transaction query method and device, electronic equipment and readable storage medium thereof |
| CN115186164A (en) * | 2022-07-07 | 2022-10-14 | 广州华多网络科技有限公司 | Search request control method and device, equipment, medium and product thereof |
| CN115712677A (en) * | 2022-09-08 | 2023-02-24 | 广州欢聚时代信息科技有限公司 | Search data synchronization method and device, equipment, medium and product thereof |
| CN115664818A (en) * | 2022-10-26 | 2023-01-31 | 广州欢聚时代信息科技有限公司 | Independent station access flow control method and device, equipment, medium and product thereof |
Non-Patent Citations (2)
| Title |
|---|
| 伯克.约翰逊等: "教育研究定量、定性和混合方法", 30 September 2015, 重庆大学出版社, pages: 436 - 439 * |
| 米歇尔.刘易斯.伯克: "社会科学研究方法百科全书", 31 August 2017, 重庆大学出版社, pages: 1460 - 1461 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117520686A (en) * | 2023-11-20 | 2024-02-06 | 广州方舟信息科技有限公司 | Search preloading method, device, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106202394B (en) | Text information recommendation method and system | |
| US10650071B2 (en) | Search and retrieval of keyed data maintained using a keyed database | |
| AU2017221945B2 (en) | Method and device of identifying network access behavior, server and storage medium | |
| US20100114954A1 (en) | Realtime popularity prediction for events and queries | |
| US8417683B2 (en) | System and method for presenting geolocated relevance-based content | |
| US20160267520A1 (en) | Method and system for online user engagement measurement | |
| US9414199B2 (en) | Predictive delivery of information based on device history | |
| CN111538907B (en) | Object recommendation method, system and device | |
| US10986464B1 (en) | Quantifying mobility of mobile devices via a privacy preserving mobility metric | |
| CN116701762A (en) | Method, device, equipment and medium for processing degradation of search service of independent station | |
| CN108153783A (en) | A kind of method and apparatus of data buffer storage | |
| US9301126B2 (en) | Determining multiple users of a network enabled device | |
| EP3506592B1 (en) | Method and system for detecting fradulent user-content provider pairs | |
| US20130290130A1 (en) | Temperature-based determination of business objects | |
| CN105989152A (en) | Search engine service quality monitoring methods, apparatus and system | |
| CN114637927B (en) | Content recommendation method and device, electronic equipment and storage medium | |
| CN116485503A (en) | Commodity combination recommendation method, device, equipment and medium thereof | |
| CN115186164A (en) | Search request control method and device, equipment, medium and product thereof | |
| US20160352835A1 (en) | Mobile content sharing | |
| CN112488803A (en) | Favorite storage access method and device, equipment and medium thereof | |
| CN116861114A (en) | Search service cache optimization method, device, equipment and medium | |
| Gui et al. | Artificial intelligence approach of context-awareness architecture for mobile computing | |
| CN117349505A (en) | Multi-target recommendation method and device | |
| CN115659197A (en) | Data security monitoring model training method, application method, device and storage medium | |
| CN115860570A (en) | Graph-based scoring method for potential attrition customers of mobile operator |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |