CN104468747A - High-performance deployment method based on B/S - Google Patents
High-performance deployment method based on B/S Download PDFInfo
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- CN104468747A CN104468747A CN201410681609.XA CN201410681609A CN104468747A CN 104468747 A CN104468747 A CN 104468747A CN 201410681609 A CN201410681609 A CN 201410681609A CN 104468747 A CN104468747 A CN 104468747A
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- server
- cluster
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- data
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/1012—Server selection for load balancing based on compliance of requirements or conditions with available server resources
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
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- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Stored Programmes (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the field of computer software development and deployment technologies, in particular to a high-performance deployment method based on B/S. The method includes the steps that firstly, a database cluster is deployed, and corresponding data can be modified between clusters through triggers; each database corresponds to an application server and serves only one application server; multiple application servers form a cluster, and the application servers are debugged uniformly through the dispatch server at the foremost end; the dispatch server sends a request to the idle servers for response according to the states of the servers in the cluster, so that the effect of load balancing is achieved; mutual access between the data is achieved through the triggers high in efficiency so that the data uniformity of a whole platform can be guaranteed. The requirement for high concurrency of the platform is met, and the method can be applied to application deployment.
Description
Technical field
The present invention relates to develop computer software deployment techniques field, be specifically related to a kind of high-performance dispositions method based on B/S.
Background technology
At present in application deployment, a lot of situation is all that use application server adds a database server and completes; And in the deployment scheme that some are good, application service cluster can be built, but in database part management side face, in order to make data consistent with effective, by only disposing a database server.Being equivalent to a database server is the service of multiple stage application server.Therefore, when height is concurrent, just clearly, application server performance improves for the bottleneck of database, but the non-constant of overall performance, even there will be database server and to delay the situation of machine.
Summary of the invention
The technical problem that the present invention solves is to provide a kind of high-performance dispositions method based on B/S, to meet the high concurrent demand of platform.
The technical scheme that the present invention solves the problems of the technologies described above is:
First dispose a data-base cluster, between cluster, corresponding data can be revised mutually by trigger; The corresponding application server of each database, and be only an application server service; Multiple application server is set up one and is trooped, unified by dispatch server debugging foremost; Dispatch server, according to the state of server in cluster, sends the request to more idle server and responds, reach the effect of load balancing; The trigger that between data, service efficiency is higher is accessed mutually, ensures the data consistency of whole platform.
Described method comprises following concrete steps:
1st step, building database cluster, the database in cluster can be accessed mutually and Update Table by trigger;
2nd step, set up application cluster, separate between cluster; A corresponding database server of application server, avoids database to share phenomenon simultaneously;
3rd step, dispose dispatch server, can by Requests routing in any application server in trooping;
4th step, user are by browser access dispatch server;
5th step, dispatch server, according to the state of server each in cluster, send the request in certain server A and respond;
6th step, server, according to service logic, access corresponding database;
7th step, database determine whether inquiry business, if so, then direct from server D data query, and to return, and skip to the 9th step; Otherwise flow process skips to the 8th step;
8th step, database server A are by the data of other database server in trigger amendment cluster;
9th step, end.
The invention has the beneficial effects as follows: this method by disposing data-base cluster, and is revised mutually by trigger between cluster, and each database is only an application server access simultaneously, solving at height and giving database bottleneck problem.Simultaneously when change appears in data, by the data of other database in trigger amendment cluster between database, reach the effect of data consistency.In front end application server, by dispatch service by server more idle for request forward, therefore, the method under guarantee data validity, conforming prerequisite, can provide high concurrent application deployment method.
Accompanying drawing explanation
Below in conjunction with accompanying drawing, the present invention is further described:
Fig. 1 is flow chart of the present invention;
Fig. 2 is that the present invention specifically disposes case flow chart.
Embodiment
Present system, by building database cluster and data modification mechanism, reaching under data validity, conforming prerequisite, provides high performance concurrent services.
As shown in Figure 1, basic flow sheet of the present invention is:
1st step, building database cluster, the database in cluster can be accessed mutually and Update Table by trigger;
2nd step, set up application cluster, separate between cluster; A corresponding database server of application server, avoids database to share phenomenon simultaneously;
3rd step, dispose dispatch server, can by Requests routing in any application server in trooping;
4th step, user are by browser access dispatch server;
5th step, dispatch server, according to the state of server each in cluster, send the request in certain server A and respond;
6th step, server, according to service logic, access corresponding database;
Whether the 7th step, database table, revise according to data, by the data of other database server in trigger amendment cluster;
Response is accordingly returned to user by the 8th step, server A.
Lower mask body, to educate the files passe of cloud system, for two database servers and two application servers, illustrates major deployments of the present invention.
As shown in Figure 2, be concrete deployment case flow process of the present invention; Comprise the steps:
1st step, deployment database server DA and database server DB;
Data, when T1 increases data newly, are increased newly in the T1 of DB by trigger by the file table T1 of the 2nd step, configuration DA; Configure the table T1 of DB simultaneously;
3rd step, application deployment server WA and WB, WA and DA association simultaneously, WB and DB associates;
4th step, deployment dispatch service R;
5th step, user pass through R, upload file.
User asks by the 6th step, R, will send in application server WA more idle at that time;
7th step, WA determine whether inquiry business, if so, then return from DA inquiry and terminate, otherwise flow process jumps to the 8th step
Data increase newly in the table T1 of DA by the 8th step, WA.
Data, by trigger, write in the table T1 of DB by the T1 of the 9th step, DA;
10th step, end.
Claims (2)
1. based on a high-performance dispositions method of B/S, it is characterized in that: first dispose a data-base cluster, between cluster, corresponding data can be revised mutually by trigger; The corresponding application server of each database, and be only an application server service; Multiple application server is set up one and is trooped, unified by dispatch server debugging foremost; Dispatch server, according to the state of server in cluster, sends the request to more idle server and responds, reach the effect of load balancing; The trigger that between data, service efficiency is higher is accessed mutually, ensures the data consistency of whole platform.
2. the high-performance dispositions method based on B/S according to claim 1, is characterized in that: described method comprises following concrete steps:
1st step, building database cluster, the database in cluster can be accessed mutually and Update Table by trigger;
2nd step, set up application cluster, separate between cluster; A corresponding database server of application server, avoids database to share phenomenon simultaneously;
3rd step, dispose dispatch server, can by Requests routing in any application server in trooping;
4th step, user are by browser access dispatch server;
5th step, dispatch server, according to the state of server each in cluster, send the request in certain server A and respond;
6th step, server, according to service logic, access corresponding database;
7th step, database determine whether inquiry business, if so, then direct from server D data query, and to return, and skip to the 9th step; Otherwise flow process skips to the 8th step;
8th step, database server A are by the data of other database server in trigger amendment cluster;
9th step, end.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410681609.XA CN104468747A (en) | 2014-11-23 | 2014-11-23 | High-performance deployment method based on B/S |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410681609.XA CN104468747A (en) | 2014-11-23 | 2014-11-23 | High-performance deployment method based on B/S |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104468747A true CN104468747A (en) | 2015-03-25 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201410681609.XA Pending CN104468747A (en) | 2014-11-23 | 2014-11-23 | High-performance deployment method based on B/S |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107750450A (en) * | 2015-06-19 | 2018-03-02 | 诺基亚通信公司 | Optimization business |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100057829A1 (en) * | 2008-08-28 | 2010-03-04 | Avg Technologies Cz, S.R.O. | Cross site, cross domain session sharing without database replication |
| CN102142024A (en) * | 2010-02-01 | 2011-08-03 | 微软公司 | Logical data backup and rollback using incremental capture in a distributed database |
| CN102207937A (en) * | 2010-03-29 | 2011-10-05 | 华为技术有限公司 | Database access method and system |
-
2014
- 2014-11-23 CN CN201410681609.XA patent/CN104468747A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100057829A1 (en) * | 2008-08-28 | 2010-03-04 | Avg Technologies Cz, S.R.O. | Cross site, cross domain session sharing without database replication |
| CN102142024A (en) * | 2010-02-01 | 2011-08-03 | 微软公司 | Logical data backup and rollback using incremental capture in a distributed database |
| CN102207937A (en) * | 2010-03-29 | 2011-10-05 | 华为技术有限公司 | Database access method and system |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107750450A (en) * | 2015-06-19 | 2018-03-02 | 诺基亚通信公司 | Optimization business |
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Application publication date: 20150325 |
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