CN107423132A - A kind of large-scale concurrent optimized treatment method for auction platform - Google Patents
A kind of large-scale concurrent optimized treatment method for auction platform Download PDFInfo
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- CN107423132A CN107423132A CN201710262224.3A CN201710262224A CN107423132A CN 107423132 A CN107423132 A CN 107423132A CN 201710262224 A CN201710262224 A CN 201710262224A CN 107423132 A CN107423132 A CN 107423132A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5083—Techniques for rebalancing the load in a distributed system
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
- G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
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- 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
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/08—Auctions
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Abstract
A kind of large-scale concurrent optimized treatment method for auction platform, step include：(1) its corresponding speed is improved by CDN content distribution to the static content of auction platform, the static content of the auction platform includes the HTML content of auction platform, and the back office interface of auction platform server is operated using memory hierarchy；(2) user opens the auction page of auction platform by client, and client establishes a long haul links with auction platform server.The present invention uses above-mentioned steps, and a variety of efficient modes are used in data receiver, data processing, when auction platform server can be tackled calmly when in face of ten hundreds of requests, ensure that the stable operation of system, ensure that the orderly progress of auction activity.
Description
Technical field：
The present invention relates to a kind of large-scale concurrent optimized treatment method for auction platform.
Background technology：
With the fast development of internet, various traditional industries draw close by warp-wise internet direction, for example, auctioning not
Pattern under traditional line is confined to again, and traditional auction pattern combination internet information science and technology network auction platform arises at the historic moment.
Article owner can issue article in network auction platform, have the user of purchase intention according to the hobby of oneself, need to select
Selecting goods to auction interested submits guarantee fund to begin participating in auction, and acquisition is possessed this by final End of Auction back up bid highest user
The qualification of goods to auction, and can further be linked up with goods to auction publisher.Network auction it is different from being auctioned under traditional wire be a little
More auctions are had on auction platform while are carried out, same time point has substantial amounts of user to participate in auction to multiple goods to auction, from
For the angle of technology, this is a huge test for web system, when auction platform received in one second it is ten hundreds of
Even more multi-request when, unstable situation occurs in system, the normal operation of auction platform is influenceed, to the normal of auction trade
Impacted.
The content of the invention：
The invention provides a kind of large-scale concurrent optimized treatment method for auction platform, its is reasonable in design, in number
According to receiving, using a variety of efficient modes in data processing, when auction platform server can when in face of ten hundreds of requests
Calm reply, ensure that the stable operation of system, ensure that the orderly progress of auction activity, solve present in prior art
Problem.
The present invention is that technical scheme is used by solving above-mentioned technical problem：
A kind of large-scale concurrent optimized treatment method for auction platform, step include：
(1) static content of auction platform is distributed by CDN content and improves its corresponding speed, the auction platform it is quiet
State content includes the HTML content of auction platform, and the back office interface of auction platform server is operated using memory hierarchy；
(2) user opens the auction page of auction platform by client, and client establishes one with auction platform server
Individual long haul links；
(3) when user is favorite to the commodity on auction platform, user is sent by client to auction platform server
Bid data, in the back office interface for the bid data write-in auction platform server for sending client, first data are protected
It is stored in auction platform server memory database, then takes the mode of asynchronous write to be saved in hard disk again；
(4) after user writes bid data in hard disk, bid data increase of the auction platform server to the user
One version number, is saved together with bid data, when the renewal of every data of progress, version number corresponding with the data
Value plus 1；
(5) when there is user to send new bid data to auction platform by client, first extracted from database table
Go out the version number value corresponding to data to be updated, when submitting renewal, by the version number value corresponding to current data to be updated
It is compared with the version number value taken out for the first time, if current version number is equal with the version number value that first time takes out,
Then updated, otherwise it is assumed that being stale data；
(6) during user is bidded, if auction platform is in full load state, auction platform server will
Full load signal is sent to the overload protection module for being arranged on CGI entry levels, when have again user send out valence mumber according to when, overload protect
Protect module and the request of user is returned into client, auction platform server no longer receives bid data；
Arrived in step (3) in step (5), whenever data are updated, auction platform server is established persistently to it
The client of link sends data to inform the data cases of current auction platform.
The present invention uses above-mentioned steps, and a variety of efficient modes are used in data receiver, data processing, work as auction platform
Server can be tackled calmly when in face of ten hundreds of requests, be ensure that the stable operation of system, be ensure that auction activity
Carry out in order.
Embodiment：
For the technical characterstic for illustrating this programme can be understood, below by embodiment, the present invention is explained in detail
State.
A kind of large-scale concurrent optimized treatment method for auction platform, step include：
(1) static content of auction platform is distributed by CDN content and improves its corresponding speed, the auction platform it is quiet
State content includes the HTML content of auction platform, and the back office interface of auction platform server is operated using memory hierarchy；
(2) user opens the auction page of auction platform by client, and client establishes one with auction platform server
Individual long haul links；
(3) when user is favorite to the commodity on auction platform, user is sent by client to auction platform server
Bid data, in the back office interface for the bid data write-in auction platform server for sending client, first data are protected
It is stored in auction platform server memory database, then takes the mode of asynchronous write to be saved in hard disk again；
Several mouthfuls of the backstage of auction platform server operated using memory hierarchy cause data be not saved directly in silver plate and
It is first to be saved in memory database, greatly improves the storage speed of data.
(4) after user writes bid data in hard disk, bid data increase of the auction platform server to the user
One version number, is saved together with bid data, when the renewal of every data of progress, version number corresponding with the data
Value plus 1；
(5) when there is user to send new bid data to auction platform by client, first extracted from database table
Go out the version number value corresponding to data to be updated, when submitting renewal, by the version number value corresponding to current data to be updated
It is compared with the version number value taken out for the first time, if current version number is equal with the version number value that first time takes out,
Then updated, otherwise it is assumed that being stale data；
When thering is party A-subscriber and party B-subscriber to be taken up to a certain part goods to auction when carrying out bid auction simultaneously, in party A-subscriber and party B-subscriber
After all being bid, the version number value corresponding to the present price of the goods to auction is extracted from database table first, if party A-subscriber
First bid 100, when carrying out data renewal, inquire about current version number value, because data are updated before A,
Therefore the version number corresponding to current data to be updated is equal with the version number value that first time takes out, and is updated, updated
While data, version number also adds 1.
When party B-subscriber bid again 100 when, just fall behind party A-subscriber, now when carrying out data renewal, inquiry is current
Version number value, because A is updated to data before B, therefore current version number value and the version that takes out for the first time
Number value is unequal, it is believed that is that stale data is not updated.
(6) during user is bidded, if auction platform is in full load state, auction platform server will
Full load signal is sent to the overload protection module for being arranged on CGI entry levels, when have again user send out valence mumber according to when, overload protect
Protect module and the request of user is returned into client, auction platform server no longer receives bid data；Refusal request and one kind
Safeguard measure, avoid also persistently receiving data in the case where auction platform overloads, cause systems stay to be in full load state,
Influence the normal operation of auction platform.
Arrived in step (3) in step (5), whenever data are updated, auction platform server is established persistently to it
The client of link sends data to inform the data cases of current auction platform.
Conventional client and the information interchange pattern of server send request for client phase server, so as to learn clothes
The current information state of business device, it is necessary to which client ceaselessly thinks that server sends request just by the way of this acquisition of information
Can be upgraded in time information data, less efficient.In this auction platform, when client and auction platform server establish the link
Afterwards, this is linked as a long haul links, is whenever the goods to auction price of auction platform server changes, will be actively by information
Client is pushed to, facilitates client to be browsed.
Using the large-scale concurrent optimized treatment method for auction platform of the present invention, in data receiver, data processing
It is upper to use a variety of efficient modes, when auction platform server be tackled calmly when in face of ten hundreds of requests, ensure that
The stable operation of system, it ensure that the orderly progress of auction activity.
Above-mentioned embodiment cannot function as limiting the scope of the invention, for the technology people of the art
For member, any alternate modification or conversion made to embodiment of the present invention are all fallen within protection scope of the present invention.
Part is not described in detail by the present invention, is the known technology of those skilled in the art of the present technique.
Claims (2)
- A kind of 1. large-scale concurrent optimized treatment method for auction platform, it is characterised in that：Step includes：(1) static content of auction platform is distributed by CDN content and improves its corresponding speed, in the static state of the auction platform Holding includes the HTML content of auction platform, and the back office interface of auction platform server is operated using memory hierarchy；(2) user opens the auction page of auction platform by client, and client is established one with auction platform server and held Link long；(3) when user is favorite to the commodity on auction platform, user sends bid by client to auction platform server Data, in the back office interface for the bid data write-in auction platform server for sending client, first store data into In auction platform server memory database, then the mode of asynchronous write is taken to be saved in hard disk again；(4) after user writes bid data in hard disk, auction platform server increases by one to the bid data of the user Version number, it is saved together with bid data, when the renewal of every data of progress, version number value corresponding with the data adds 1；(5) when there is user to send new bid data to auction platform by client, first extract and treat from database table Update the data corresponding version number value, when submit update when, by the version number value corresponding to current data to be updated and the The version number value once taken out is compared, if current version number is equal with the version number value that first time takes out, gives With renewal, otherwise it is assumed that being stale data；(6) during user is bidded, if auction platform is in full load state, auction platform server will completely be born Information carrying number is sent to the overload protection module for being arranged on CGI entry levels, when have again user send out valence mumber according to when, overload protection mould The request of user is returned to client by block, and auction platform server no longer receives bid data.
- A kind of 2. large-scale concurrent optimized treatment method for auction platform according to claim 1, it is characterised in that： Arrived in step (3) in step (5), whenever data are updated, auction platform server establishes the visitor of long haul links to it Family end sends data to inform the data cases of current auction platform.
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| CN201710262224.3A CN107423132B (en) | 2017-04-20 | 2017-04-20 | Large-scale concurrent optimization processing method for auction platform |
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| CN201710262224.3A CN107423132B (en) | 2017-04-20 | 2017-04-20 | Large-scale concurrent optimization processing method for auction platform |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109872227A (en) * | 2017-12-04 | 2019-06-11 | 山东化仙子电子商务有限公司 | A kind of multiwindow intelligence auction system |
| CN112365329A (en) * | 2020-10-28 | 2021-02-12 | 山东开创云计算有限公司 | Auction platform high-concurrency optimization processing system for small program end |
| CN113362127A (en) * | 2021-05-25 | 2021-09-07 | 上海信宝博通电子商务有限公司 | Second-hand car bidding system with high availability |
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