CN107423132B - Large-scale concurrent optimization processing method for auction platform - Google Patents
Large-scale concurrent optimization processing method for auction platform Download PDFInfo
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- CN107423132B CN107423132B CN201710262224.3A CN201710262224A CN107423132B CN 107423132 B CN107423132 B CN 107423132B CN 201710262224 A CN201710262224 A CN 201710262224A CN 107423132 B CN107423132 B CN 107423132B
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- 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
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Abstract
A large-scale concurrent optimization processing method for an auction platform comprises the following steps: (1) the method comprises the steps that the corresponding speed of static content of an auction platform is improved through CDN content distribution, the static content of the auction platform comprises HTML content of the auction platform, and a background interface of an auction platform server is operated at a memory level; (2) the user opens an auction page of the auction platform through the client, and the client establishes a persistent link with the auction platform server. The invention adopts the steps, adopts various high-efficiency modes on data receiving and data processing, and can easily cope with tens of thousands of requests when the auction platform server faces the requests, thereby ensuring the stable operation of the system and the orderly auction activities.
Description
The technical field is as follows:
the invention relates to a large-scale concurrent optimization processing method for an auction platform.
Background art:
with the rapid development of the internet, various traditional industries have moved towards the internet, for example, the auction is no longer limited to the traditional off-line mode, and the traditional auction mode is generated by combining with the internet information technology network auction platform. The method is characterized in that an item owner can release an item in a network auction platform, a user with purchasing intention selects an interested auction to submit a guarantee fund to participate in auction according to own preference and needs, and finally the user with the highest bid after the auction is finished obtains the qualification of owning the auction and can further communicate with the auction publisher. The network auction is different from the traditional on-line auction in that a plurality of auctions can be simultaneously carried out on an auction platform, a large number of users can participate in the auction of a plurality of auction products at the same time point, and the web system is a huge test from the technical point of view.
The invention content is as follows:
the invention provides a large-scale concurrent optimization processing method for an auction platform, which is reasonable in design, adopts various high-efficiency modes in data receiving and data processing, can easily cope with tens of thousands of requests when an auction platform server faces the requests, ensures the stable operation of a system, ensures the ordered execution of auction activities, and solves the problems in the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a large-scale concurrent optimization processing method for an auction platform comprises the following steps:
(1) the method comprises the steps that the corresponding speed of static content of an auction platform is improved through CDN content distribution, the static content of the auction platform comprises HTML content of the auction platform, and a background interface of an auction platform server is operated at a memory level;
(2) a user opens an auction page of an auction platform through a client, and the client establishes a persistent link with an auction platform server;
(3) when a user agrees with the goods on the auction platform, the user sends bidding data to the auction platform server through the client, and when the bidding data sent by the client is written into a background interface of the auction platform server, the data is firstly stored into a memory database of the auction platform server and then is stored into a hard disk in an asynchronous writing mode;
(4) after the user writes the bid data into the hard disk, the auction platform server adds a version number to the bid data of the user, stores the version number together with the bid data, and adds 1 to the version number corresponding to the data when updating the data each time;
(5) when a user sends new bid data to an auction platform through a client, a version number value corresponding to the data to be updated is extracted from a database table, when the data to be updated is submitted to be updated, the version number value corresponding to the current data to be updated is compared with the version number value extracted for the first time, if the current version number is equal to the version number value extracted for the first time, the data to be updated is updated, otherwise, the data is considered as overdue data;
(6) in the process of bidding by a user, if the auction platform is in a full load state, the server of the auction platform sends a full load signal to an overload protection module arranged at a CGI entrance layer, when the user sends bidding data, the overload protection module returns the request of the user to the client, and the server of the auction platform does not accept the bidding data any more;
in the steps from (3) to (5), each time the data is updated, the auction platform server sends the data to the client which establishes the persistent link with the client to inform the data condition of the current auction platform.
The invention adopts the steps, adopts various high-efficiency modes on data receiving and data processing, and can easily cope with tens of thousands of requests when the auction platform server faces the requests, thereby ensuring the stable operation of the system and the orderly auction activities.
The specific implementation mode is as follows:
in order to clearly illustrate the technical features of the present invention, the present invention is explained in detail by the following embodiments.
A large-scale concurrent optimization processing method for an auction platform comprises the following steps:
(1) the method comprises the steps that the corresponding speed of static content of an auction platform is improved through CDN content distribution, the static content of the auction platform comprises HTML content of the auction platform, and a background interface of an auction platform server is operated at a memory level;
(2) a user opens an auction page of an auction platform through a client, and the client establishes a persistent link with an auction platform server;
(3) when a user agrees with the goods on the auction platform, the user sends bidding data to the auction platform server through the client, and when the bidding data sent by the client is written into a background interface of the auction platform server, the data is firstly stored into a memory database of the auction platform server and then is stored into a hard disk in an asynchronous writing mode;
several background ports of the auction platform server adopt memory level operation to ensure that the data is not directly stored in the bank disk but is firstly stored in the memory database, thereby greatly improving the storage speed of the data.
(4) After the user writes the bid data into the hard disk, the auction platform server adds a version number to the bid data of the user, stores the version number together with the bid data, and adds 1 to the version number corresponding to the data when updating the data each time;
(5) when a user sends new bid data to an auction platform through a client, a version number value corresponding to the data to be updated is extracted from a database table, when the data to be updated is submitted to be updated, the version number value corresponding to the current data to be updated is compared with the version number value extracted for the first time, if the current version number is equal to the version number value extracted for the first time, the data to be updated is updated, otherwise, the data is considered as overdue data;
when A user and B user are interested in bidding and auction a certain shooting, after A user and B user both bid, first extracting version number value corresponding to current price of the shooting from database table, if A user bids 100 first, when updating data, inquiring current version number value, because data before A is not updated, so the version number corresponding to current data to be updated is equal to the first extracted version number value, updating, and when updating data, adding 1 to version number.
When the user B bids 100 again, the user B falls behind the user A, at the time of updating data, the current version number value is inquired, and since the data is updated before the user B, the current version number value is not equal to the version number value which is taken out for the first time, and the expired data is considered not to be updated.
(6) In the process of bidding by a user, if the auction platform is in a full load state, the server of the auction platform sends a full load signal to an overload protection module arranged at a CGI entrance layer, when the user sends bidding data, the overload protection module returns the request of the user to the client, and the server of the auction platform does not accept the bidding data any more; the rejection of the request is also a protection measure, and the situation that the system is continuously in a full load state and normal operation of the auction platform is influenced due to continuous data receiving under the condition that the auction platform is overloaded is avoided.
In the steps from (3) to (5), each time the data is updated, the auction platform server sends the data to the client which establishes the persistent link with the client to inform the data condition of the current auction platform.
The conventional information exchange mode between the client and the server sends a request to the server at the client, so that the current information condition of the server is known. In the auction platform, after the client establishes the link with the auction platform server, the link is a persistent link, and when the price of the auction platform server changes, the information is actively pushed to the client, so that the client can browse conveniently.
By adopting the large-scale concurrent optimization processing method for the auction platform, a plurality of efficient modes are adopted in data receiving and data processing, and the auction platform server can easily cope with tens of thousands of requests, so that the stable operation of the system is ensured, and the orderly auction activities are ensured.
The above-described embodiments should not be construed as limiting the scope of the invention, and any alternative modifications or alterations to the embodiments of the present invention will be apparent to those skilled in the art.
The present invention is not described in detail, but is known to those skilled in the art.
Claims (1)
1. A large-scale concurrent optimization processing method for an auction platform is characterized by comprising the following steps: the method comprises the following steps:
(1) the method comprises the steps that the corresponding speed of static content of an auction platform is improved through CDN content distribution, the static content of the auction platform comprises HTML content of the auction platform, and a background interface of an auction platform server is operated at a memory level;
(2) a user opens an auction page of an auction platform through a client, and the client establishes a persistent link with an auction platform server;
(3) when a user agrees with the goods on the auction platform, the user sends bidding data to the auction platform server through the client, and when the bidding data sent by the client is written into a background interface of the auction platform server, the data is firstly stored into a memory database of the auction platform server and then is stored into a hard disk in an asynchronous writing mode;
(4) after the user writes the bid data into the hard disk, the auction platform server adds a version number to the bid data of the user, stores the version number together with the bid data, and adds 1 to the version number corresponding to the data when updating the data each time;
(5) when a user sends new bid data to an auction platform through a client, a version number value corresponding to the data to be updated is extracted from a database table, when the data to be updated is submitted to be updated, the version number value corresponding to the current data to be updated is compared with the version number value extracted for the first time, if the current version number is equal to the version number value extracted for the first time, the data to be updated is updated, otherwise, the data is considered as overdue data;
(6) in the process of bidding by a user, if the auction platform is in a full load state, the server of the auction platform sends a full load signal to an overload protection module arranged at a CGI entrance layer, when the user sends bidding data, the overload protection module returns the request of the user to the client, and the server of the auction platform does not accept the bidding data any more;
in the steps from (3) to (5), each time the data is updated, the auction platform server sends the data to the client which establishes the persistent link with the client to inform the data condition of the current auction platform.
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| 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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| CN101355587B (en) * | 2008-09-17 | 2012-05-23 | 杭州华三通信技术有限公司 | Method and apparatus for obtaining URL information as well as method and system for implementing searching engine |
| CN103854214B (en) * | 2012-11-28 | 2020-03-27 | 阿里巴巴集团控股有限公司 | Method and system for processing auction data |
| CN104636969A (en) * | 2013-11-15 | 2015-05-20 | 易拍全球(北京)科贸有限公司 | Artwork time-limited auction system |
| CN103745399A (en) * | 2014-01-22 | 2014-04-23 | 长沙钢为网络科技有限公司 | Auction processing system and method |
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