CN104932935A - Data stream processing method based on extended Drools 5 rule engine and data stream processing system based on extended Drools 5 rule engine - Google Patents
Data stream processing method based on extended Drools 5 rule engine and data stream processing system based on extended Drools 5 rule engine Download PDFInfo
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- CN104932935A CN104932935A CN201510284001.8A CN201510284001A CN104932935A CN 104932935 A CN104932935 A CN 104932935A CN 201510284001 A CN201510284001 A CN 201510284001A CN 104932935 A CN104932935 A CN 104932935A
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Abstract
The invention provides a data stream processing method based on an extended Drools 5 rule engine. The method comprises the following steps of: 1, receiving a calling request sent by an external API (Application Program Interface) user, wherein the calling request is used for requesting the creation of a new session; 2, performing refreshing by a called object through a self algorithm for refreshing a rule set in a global cache; 3, calling a builder to inquire whether the rule set in the global cache needs to be updated or not; and 4, when the rule set in the global cache does not need to be updated, returning rules in the global cache to an API sending the calling request, and calling the API to execute the action bound with the next rule; and when the rule set in the global cache needs to be updated, firstly clearing the rule set in the global cache, obtaining total data in a rule base, updating the total data to the global cache, performing intelligent re-matching, and returning the result to the rule executed by the API.
Description
Technical field
The technical field of data processing of enterprises information system of the present invention, particularly a kind of data flow processing method based on expansion Drools5 regulation engine and system.
Background technology
The exploitation of company manager to enterprise-level IT system has following requirement: for raising the efficiency, even if modern commerce rule complex, and the necessary robotization of management process; Market demands business rule often changes, and IT system must be carried out fast according to the change of business rule, the renewal of low cost; In order to renewal that is quick, low cost, business personnel should be able to rule directly in managing I T system, does not need application developer to participate in.
Project development personnel have then encountered following problem: (1) program=algorithm+data structure, and the business rules of some complexity is difficult to derive algorithm and take out data model; (2) soft project requires to design-> coding from demand->, but business rule usually may be also not clear and definite in demand stage, also in change after design and coding, business rule is often embedded in system code; (3) concerning programmer, system is safeguarded, upgrade difficulty, and the more impossible business personnel of allowing manages.
Regulation engine is attempted to solve the exploitation of application program service logic and problems intrinsic in safeguarding.Drools is the open source code regulation engine write with Java language, uses Rete algorithm to write regular evaluation.Drools allows to use statement mode to express service logic.The native language redaction rule of non-XML can be used, thus be convenient to study and understand.Further, Java code can also be directly embedded in rule file.
But the triggering of service logic Sum fanction is not separated by the existing enterprises information system based on Drools regulation engine, cannot the workflow of enterprises information system, examination & approval stream and Business Stream be classified and effectively be processed.
Summary of the invention
In view of this, the invention provides a kind of service logic that can realize to be separated with the triggering of rule, and can in the data flow processing method based on expansion Drools5 regulation engine and the system of carrying out classification process according to the different pairs of the rule type be loaded in context according to stream.
Based on a data flow processing method for expansion Drools5 regulation engine, it comprises the steps:
The call request that S1, reception external application interface API user send, described call request creates new session for asking;
S2, invoked object are refreshed by the algorithm of himself, refresh the rule set in global buffer;
S3, inquire rule set the need of upgrading in global buffer by calling constructor builder;
S4, when not needing to upgrade the rule set in global buffer, the rule in global buffer being returned to the API sending call request, calling the action that API performs next rule binding; When needing to upgrade the rule set in global buffer, first emptying the rule set in global buffer, obtaining full dose data in rule base and by full dose Data Update to global buffer, and carry out again Intelligent Matching and return to the rule that API performs.
Based on a data flow processing system for expansion Drools5 regulation engine, it comprises as lower unit:
Session creating unit, for receiving the call request that external application interface API user sends, described call request creates new session for asking;
Regular refresh unit, refreshes for the algorithm of invoked object by himself, refreshes the rule set in global buffer;
Judging unit, for inquiring the need of the rule set in renewal global buffer by calling constructor builder;
Rule performance element, for when not needing to upgrade the rule set in global buffer, returns to the API sending call request by the rule in global buffer, call the action that API performs next rule binding; When needing to upgrade the rule set in global buffer, emptying the rule set in global buffer, obtaining full dose data in rule base and by full dose Data Update to global buffer, and carry out again Intelligent Matching and return to the rule that API performs.
Advantageous Effects: the present invention inquires the need of the rule set in renewal global buffer by calling constructor builder, and when update rule collection and not update rule adopt the action of different scheme executing rule binding, service logic can be realized be separated with the triggering of rule, and classification process can be carried out at dissimilar workflow, examination & approval stream and the Business Stream carried out enterprises information system according to the rule be loaded in context.
Accompanying drawing explanation
Fig. 1 is the data flow processing method process flow diagram based on expansion Drools5 regulation engine that embodiment of the present invention provides;
Fig. 2 is the data flow processing system structured flowchart based on expansion Drools5 regulation engine that embodiment of the present invention provides.
Embodiment
As shown in Figure 1, a kind of data flow processing method based on expansion Drools5 regulation engine, it comprises the steps:
The call request that S1, reception external application interface API user send, described call request creates new session for asking.
S2, invoked object are refreshed by the algorithm of himself, refresh the rule set in global buffer.
S3, inquire rule set the need of upgrading in global buffer by calling constructor builder.
Alternatively, described step S3 comprises:
Call constructor builder to inquire the need of the rule set in renewal global buffer.
Whether consistent with the version of rule set in rule base by the version of rule set in contrast global buffer.
If version is consistent, then do not need to upgrade the rule set in global buffer; If version is inconsistent, then need to upgrade the rule set in global buffer.
S4, when not needing to upgrade the rule set in global buffer, the rule in global buffer being returned to the API sending call request, calling the action that API performs next rule binding; When needing to upgrade the rule set in global buffer, first emptying the rule set in global buffer, obtaining full dose data in rule base and by full dose Data Update to global buffer, and carry out again Intelligent Matching and return to the rule that API performs.
Alternatively, in described step S4 when needing to upgrade the rule set in global buffer, first emptying the rule set in global buffer, obtaining full dose data in rule base and by full dose Data Update to global buffer, and carry out again Intelligent Matching binding rule and comprise:
When needing to upgrade the rule set in global buffer, calling and emptying function clear and empty rule set in global buffer.
Call the full dose data with version number's rule set obtained in function get acquisition rule base.
Call renewal function update by obtain be updated to global buffer with version number's rule set.
Call link function reffleshLink again and carry out again the rule that Intelligent Matching returns to API execution.
As shown in Figure 2, the embodiment of the present invention also provides a kind of data flow processing system based on expansion Drools5 regulation engine, and it comprises as lower unit:
Session creating unit 10, for receiving the call request that external application interface API user sends, described call request creates new session for asking.
Regular refresh unit 20, refreshes for the algorithm of invoked object by himself, refreshes the rule set in global buffer.
Judging unit 30, for inquiring the need of the rule set in renewal global buffer by calling constructor builder.
Alternatively, described judging unit 30 comprises:
Call constructor builder to inquire the need of the rule set in renewal global buffer.
Whether consistent with the version of rule set in rule base by the version of rule set in contrast global buffer.
When version is consistent, determine not need to upgrade the rule set in global buffer; When version is inconsistent, determine to need to upgrade the rule set in global buffer.
Rule performance element 40, for when not needing to upgrade the rule set in global buffer, returns to the API sending call request by the rule in global buffer, call the action that API performs next rule binding; When needing to upgrade the rule set in global buffer, emptying the rule set in global buffer, obtaining full dose data in rule base and by full dose Data Update to global buffer, and carry out again Intelligent Matching and return to the rule that API performs.
Alternatively, in described regular performance element 40 when needing to upgrade the rule set in global buffer, empty the rule set in global buffer, obtain full dose data in rule base and by full dose Data Update to global buffer, and carry out again Intelligent Matching binding rule and comprise:
When needing to upgrade the rule set in global buffer, calling and emptying function clear and empty rule set in global buffer.
Call the full dose data with version number's rule set obtained in function get acquisition rule base.
Call renewal function update by obtain be updated to global buffer with version number's rule set.
Call link function reffleshLink again and carry out again the rule that Intelligent Matching returns to API execution.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar portion mutually see.
Professional can also recognize further, in conjunction with unit and the algorithm steps of each example of embodiment disclosed herein description, can realize with electronic hardware, computer software or the combination of the two, in order to the interchangeability of hardware and software is clearly described, in the above description according to the functional composition and the step that generally describe each example.These functions perform with hardware or software mode actually, depend on application-specific and the design constraint of technical scheme.Professional and technical personnel can use distinct methods to realize described function to each specifically should being used for, but this realization should not exceed scope of the present invention.
The software module that the method described in conjunction with embodiment disclosed herein or the step of algorithm can directly use hardware, processor to perform, or the combination of the two is implemented.Software module can be placed in any other forms of storage medium known in random access memory, internal memory, ROM (read-only memory), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field.
Be understandable that, for the person of ordinary skill of the art, other various corresponding change and distortion can be made by technical conceive according to the present invention, and all these change the protection domain that all should belong to the claims in the present invention with distortion.
Claims (6)
1., based on a data flow processing method for expansion Drools5 regulation engine, it is characterized in that, it comprises the steps:
The call request that S1, reception external application interface API user send, described call request creates new session for asking;
S2, invoked object are refreshed by the algorithm of himself, refresh the rule set in global buffer;
S3, inquire rule set the need of upgrading in global buffer by calling constructor builder;
S4, when not needing to upgrade the rule set in global buffer, the rule in global buffer being returned to the API sending call request, calling the action that API performs next rule binding; When needing to upgrade the rule set in global buffer, first emptying the rule set in global buffer, obtaining full dose data in rule base and by full dose Data Update to global buffer, and carry out again Intelligent Matching and return to the rule that API performs.
2., as claimed in claim 1 based on the data flow processing method of expansion Drools5 regulation engine, it is characterized in that, described step S3 comprises:
Calling constructor builder inquires the need of the rule set in renewal global buffer;
Whether consistent with the version of rule set in rule base by the version of rule set in contrast global buffer;
If version is consistent, then do not need to upgrade the rule set in global buffer; If version is inconsistent, then need to upgrade the rule set in global buffer.
3. as claimed in claim 1 based on the data flow processing method of expansion Drools5 regulation engine, it is characterized in that, in described step S4 when needing to upgrade the rule set in global buffer, first the rule set in global buffer is emptied, obtain full dose data in rule base and by full dose Data Update to global buffer, and carry out again Intelligent Matching binding rule and comprise:
When needing to upgrade the rule set in global buffer, calling and emptying function clear and empty rule set in global buffer;
Call the full dose data with version number's rule set obtained in function get acquisition rule base;
Call renewal function update by obtain be updated to global buffer with version number's rule set;
Call link function reffleshLink again and carry out again the rule that Intelligent Matching returns to API execution.
4., based on a data flow processing system for expansion Drools5 regulation engine, it is characterized in that, it comprises as lower unit:
Session creating unit, for receiving the call request that external application interface API user sends, described call request creates new session for asking;
Regular refresh unit, refreshes for the algorithm of invoked object by himself, refreshes the rule set in global buffer;
Judging unit, for inquiring the need of the rule set in renewal global buffer by calling constructor builder;
Rule performance element, for when not needing to upgrade the rule set in global buffer, returns to the API sending call request by the rule in global buffer, call the action that API performs next rule binding; When needing to upgrade the rule set in global buffer, emptying the rule set in global buffer, obtaining full dose data in rule base and by full dose Data Update to global buffer, and carry out again Intelligent Matching and return to the rule that API performs.
5., as claimed in claim 4 based on the data flow processing system of expansion Drools5 regulation engine, it is characterized in that, described judging unit comprises:
Calling constructor builder inquires the need of the rule set in renewal global buffer;
Whether consistent with the version of rule set in rule base by the version of rule set in contrast global buffer;
When version is consistent, determine not need to upgrade the rule set in global buffer; When version is inconsistent, determine to need to upgrade the rule set in global buffer.
6. as claimed in claim 4 based on the data flow processing system of expansion Drools5 regulation engine, it is characterized in that, in described regular performance element when needing to upgrade the rule set in global buffer, empty the rule set in global buffer, obtain full dose data in rule base and by full dose Data Update to global buffer, and carry out again Intelligent Matching binding rule and comprise:
When needing to upgrade the rule set in global buffer, calling and emptying function clear and empty rule set in global buffer;
Call the full dose data with version number's rule set obtained in function get acquisition rule base;
Call renewal function update by obtain be updated to global buffer with version number's rule set;
Call link function reffleshLink again and carry out again the rule that Intelligent Matching returns to API execution.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108287708A (en) * | 2017-12-22 | 2018-07-17 | 深圳市云智融科技有限公司 | A kind of data processing method, device, server and computer readable storage medium |
| CN111951010A (en) * | 2020-07-26 | 2020-11-17 | 中国建设银行股份有限公司 | Business decision method and device based on rule engine, electronic equipment and readable storage medium |
| CN112667413A (en) * | 2020-12-19 | 2021-04-16 | 前海飞算科技(深圳)有限公司 | Access control method and system of business rule engine and readable storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1533545A (en) * | 2001-04-16 | 2004-09-29 | Bea系统公司 | System and method for web-based marketing and campajn management |
| CN102520965A (en) * | 2011-12-28 | 2012-06-27 | 山东中创软件工程股份有限公司 | Method and system for message processing |
| CN103186579A (en) * | 2011-12-29 | 2013-07-03 | 北京亿阳信通科技有限公司 | Database function-based rule implementation and application method and device |
-
2015
- 2015-05-27 CN CN201510284001.8A patent/CN104932935A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1533545A (en) * | 2001-04-16 | 2004-09-29 | Bea系统公司 | System and method for web-based marketing and campajn management |
| CN102520965A (en) * | 2011-12-28 | 2012-06-27 | 山东中创软件工程股份有限公司 | Method and system for message processing |
| CN103186579A (en) * | 2011-12-29 | 2013-07-03 | 北京亿阳信通科技有限公司 | Database function-based rule implementation and application method and device |
Non-Patent Citations (2)
| Title |
|---|
| 且看且珍惜: "在智能交通系统中基于 Drools BRMS 实现业务规则动态管理", 《互联网资源》 * |
| 王文平: "基于规则引擎的EPC费控平台的研究与设计", 《中国优秀硕士学位论文全文数据库》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108287708A (en) * | 2017-12-22 | 2018-07-17 | 深圳市云智融科技有限公司 | A kind of data processing method, device, server and computer readable storage medium |
| CN111951010A (en) * | 2020-07-26 | 2020-11-17 | 中国建设银行股份有限公司 | Business decision method and device based on rule engine, electronic equipment and readable storage medium |
| CN112667413A (en) * | 2020-12-19 | 2021-04-16 | 前海飞算科技(深圳)有限公司 | Access control method and system of business rule engine and readable storage medium |
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