CN106503214A - A kind of complex rule matching process based on Redis memory databases - Google Patents
A kind of complex rule matching process based on Redis memory databases Download PDFInfo
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- CN106503214A CN106503214A CN201610959034.2A CN201610959034A CN106503214A CN 106503214 A CN106503214 A CN 106503214A CN 201610959034 A CN201610959034 A CN 201610959034A CN 106503214 A CN106503214 A CN 106503214A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
Abstract
The present invention provides a kind of complex rule matching process based on Redis memory databases, including rule parsing system, Redis memory databases, rule match system, the rule parsing system is parsed to the regular xml document that regular center issues, the Redis memory databases storage rule resolution system parses the corresponding incidence relation information of each rule, and the rule match system realizes that the data in real-time stream are mated with rule.The present invention ensures the real-time of data, it is ensured that rule is expansible, customizable and being capable of real-time update, it is ensured that the stable stalwartness of system.
Description
Technical field
The present invention relates to a kind of internet data auditing method, especially a kind of for real-time stream, be based on Redis
Memory database and support complex logic with or, non-rule matching method.
Background technology
With the development of Internet technology, it is particularly important that network data audit seems, nation needs are to interconnecting netting index
According to being audited, the special or specific behavior in searching data, and for carrying out corresponding Business Processing.
Traditional rule match is substantially：
Storage rule by the way of AB memory queues, carries out rule match in real time data.This kind of mode can meet
Ageing requirement, but when in the face of species is various, logical operationss are complicated, type is changeable and during large-scale business rule, opens
The personnel of sending out are difficult to make this and timely respond to, and business personnel also cannot individually carry out business arrangement.
In sum, the real-time rule match system of internet data audit needs：
1) real-time：Towards real-time stream；Rule comes into force in real time；
2) expansible：Management can be write by what business personnel individually entered line discipline；
3) customizable：Multiple operation systems can be supported；
4) reliability：Large-scale data and large-scale rule just determine system it is necessary to have enough stability and
Vigorousness.
The present invention is processed based on Redis memory databases, and the Redis is a use ANSI C language that increases income
Write, support network, can based on internal memory also can the log type of persistence, Key-Value data bases, and provide polyglot
API.
Content of the invention
The purpose of the present invention is that a kind of design for meeting above-mentioned real-time Internet data accountability system requirement of offer, protects
The real-time of card data, it is ensured that rule is expansible, customizable and being capable of real-time update, it is ensured that the stable stalwartness of system.Its skill
Art scheme is as described below：
A kind of complex rule matching process based on Redis memory databases, including rule parsing system, Redis internal memories
Data base, rule match system, comprise the following steps：
1) service center is according to the related concrete service generation business rule of user, and business rule is handed down in rule
The heart；
2) business rule that service center is issued is issued to rule parsing system by the regular center, and simultaneously by business
Rule storage is in rule database；
3) the rule parsing system receives the business rule that regular center issues, and business rule is parsed, shape
Into structuring rule, and corresponding information is respectively stored into the Rule Information example of Redis memory database master libraries, is indexed in fact
In example, rule ID map example；
4) by the master slave mode of Redis memory databases, master library fresh information is synchronized to strictly all rules matching system
In；
5) rule match system cluster carries out rule match to the Internet Audit data, and carries out phase according to the rule of coupling
Respective operations, while the corresponding business datum of output.
Further, step 3) in, the rule parsing system analysis rule is described with expansible xml language, the rule
Content then includes rule type, algorithm, rule ID, logic rules, rule-based filtering condition, rule action, the parsing
Method includes newly-increased rule, alteration ruler and deletion rule, the newly-increased rule be directly to rule parsing, by parsing after rule
Then related information is inserted respectively into the Rule Information example of Redis memory database master libraries, index example, rule ID map example
In；The alteration ruler is the rule ID obtained according to parsing, in Rule Information example, index example, rule ID map example
Middle search corresponding information and deleted, then by parsing after rule association information be inserted respectively into Redis memory database masters
In the Rule Information example in storehouse, index example, rule ID map example；The deletion rule is the rule obtained according to parsing
ID, in Rule Information example, index example, rule ID map example searches corresponding information and is deleted.
Further, the Redis memory databases include Rule Information example, index example, rule ID map example,
Step 4) in, the Redis memory databases master library receives the structuring rule after rule parsing system analysis, by rule letter
Breath is stored in the Rule Information example of Redis memory database master libraries, index example, rule ID map example respectively；Pass through
Information instances, index example, rule ID map example delta data are synchronized to rule match by the master slave mode of Redis automatically
In system cluster, all Redis are from storehouse.
Further, the Rule Information example is that Rule Information member variable is index, rule with rule numbers as table name
Then message member's variate-value is content；The index example is with the single condition in simple conjunction as table name, simply to close
Modus ponens numbering is the content in table；The rule ID map example is the simple conjunction to split out and needs hit-count
Table name is combined as, rule encoding is content in table.
Further, step 5) in rule match method and step as described below：
(1) the rule match system is extracted needs the field that is mated to be spliced into table name to index example in data flow
Middle inquiry, obtains corresponding simple conjunction numbering, and merger simple conjunction is numbered and records hit-count；
(2) splicing simple conjunction is numbered and needs hit-count rule searching numbering map example, obtains rule numbers；
(3) corresponding Rule Information is obtained using with rule numbers table name in Rule Information example；
(4) rule-based filtering condition is obtained from Rule Information member, the rule of data hit is filtered, after filtration
Rule is the final rule of data hit；
(5) rule action is taken out from Rule Information member, data are operated accordingly；
(6) corresponding operation system is arrived by operation system numbering output；
(7) operation system carries out Real-time Alarm business operation according to the data that the output of rule match system comes.
Wherein, the Redis memory databases are set to master slave mode, and master library is responsible for read-write operation, are only responsible for reading from storehouse
Operation；The master library is deployed on the server of rule parsing system, from the server that storehouse is deployed to rule match system, with
In addition to the master-slave synchronisation of Redis memory databases, the Redis memory banks operation of individual node is all in-local for this guarantee,
Reduce the network delay of Redis memory database operations.
Also, in Rule content, the rule type is to define regular execution action, including rule increase, delete, more
New operation；The operation system numbering is that the multiple operation systems of the system support are same in order to indicate the operation system for issuing rule
Shi Jinhang rule match；The rule numbers are regular unique marks；The logic rules are business logic rule to be processed
Expression formula, support by with or, the complex logic expression formula that constitutes of bracket；The protocol type numbering is regular hiting data
Protocol filtering condition；The rule action is description rule hiting data institute operation to be performed.
Further, step 3) in, after the rule parsing system receives the business rule that service center is issued, to business
Rule is parsed, the form that business rule is splitted into disjunctive normal form, and simple to each splitted out in disjunctive normal form
One new numbering of conjunction expression, while record the condition number of each simple conjunction.
The present invention can accomplish 1) real-time：Towards real-time stream, rule comes into force in real time；2) expansible：Can be by industry
What business personnel individually entered line discipline writes management；3) customizable：Multiple operation systems can be supported；4) reliability.Disclosure satisfy that needs
Ask.
Description of the drawings
Fig. 1 is the schematic diagram of the Rule Information example；
Fig. 2 is the schematic diagram of the index example；
Fig. 3 is the schematic diagram of the rule ID map example；
Fig. 4 is the schematic diagram of the Redis memory databases pattern；
Fig. 5 is the schematic diagram of the rule match system design；
Fig. 6 is the system global structure schematic flow sheet of the present invention；
Fig. 7 is the schematic flow sheet of the rule parsing；
Fig. 8 is the operating diagram of the Redis memory databases；
Fig. 9 is the flow chart of the rule match.
Specific embodiment
Mainly include rule parsing system, Redis memory databases, rule match system in the present invention.
The rule parsing system：The regular xml document that regular center issues is parsed；
Redis memory databases：Storage rule resolution system parses the corresponding incidence relation information of each rule；
Rule match system：Data in real-time stream are mated with rule
Wherein, rule expansible xml language description, content by rule type, algorithm, rule ID, logic rules,
The part such as rule-based filtering condition, rule action constitutes：
1) rule type (rule_type)：The regular execution action of definition, increases including rule, deletes, updates operation；
2) operation system numbering (rule_systemid)：Mainly for indicating the operation system for issuing rule, the system
Multiple operation systems are held while carrying out rule match；
3) rule numbers (ruleid)：Regular unique mark；
4) logic rules (rule)：Business logic rule expression to be processed, support by with or, answering of constituting of bracket
Miscellaneous logical expression；
5) protocol type numbering (protocol_id)：The protocol filtering condition of regular hiting data；
6) rule action (rule_action)：Description rule hiting data institute operation to be performed.
7), after rule parsing system receives the rule that operation system is issued, rule is parsed.Rule is splitted into and is extracted
The form of normal form, and to the new numbering of each simple conjunction (subrule) splitted out in disjunctive normal form
(subrule_id), while recording the condition number (hitnum) of each simple conjunction.
For example：
Operation system 100, needs, on the IP of 10.11.12.13, to search for account for " example@163.com ", or
Instant messaging agreement of the phone number for " 18012345678 ", then individually warehouse-in alarm.The regular texture of formation should be：
rule_type：add
rule_systemid:100
ruleid:10000123 (rule ID that this id is generated by operation system, and ensure uniqueness)
rule：(IP=10.11.12.13) ＆ ((username=aa@163.com) | (mobile=18012345678))
protocol_id：Protocol type=instant messaging
rule_action：Alarm identifier=true
Disjunctive normal form form：
(IP=10.11.12.13) ＆ ((username=aa@163.com) | (mobile=18012345678))
subrule：
subruleA:(IP=10.11.12.13) ＆ (username=aa@163.com)
subrule_idA:11
hitnumA:2
subruleB:(IP=10.11.12.13) ＆ (mobile=18012345678)
subrule_idB:12
hitnumB:2
Simple conjunction (sub_subrule):
sub_subrule1:(IP=10.11.12.13)
sub_subrule2:(username=aa@163.com)
sub_subrule3:(mobile=18012345678)
Redis memory database example design is as described below：
The Redis single node memory databases of the design include that Rule Information example, index example, rule ID mapping are real
Example.
Rule Information example is as shown in Figure 1：
With rule numbers (ruleid) as table name, Rule Information (ruleinfo) member variable be key, Rule Information
(ruleinfo) member variable value is content.
Index example is as shown in Figure 2：
With the single condition in simple conjunction (sub-subrule) as table name, (subrule_ is numbered with simple conjunction
Id it is) content in table.
Rule ID map example is as shown in Figure 3：
With the simple conjunction (sub-subrule) that splits out and need hit-count (hitnum) be combined as table name,
Rule encoding (ruleid) is content in table.
Redis memory database Model Designs are the master slave modes using Redis, as shown in figure 4, master library is responsible for read-write behaviour
Make, be only responsible for read operation from storehouse.Principal and subordinate's module of Redis ensure that the renewal of master library fast and accurately can be synchronized to from storehouse
On, and its incremental update mechanism also ensure that the not congestion of Internet resources.
Master library is deployed on the server of rule parsing system, from the server that storehouse is deployed to rule match system, with
This guarantee in addition to the master-slave synchronisation of Redis memory banks, the operation of the Redis memory banks of individual node (the renewal operation of master library, from
The inquiry operation in storehouse) all it is in-local, substantially reduce the network delay of Redis storehouses operation.
Rule match system design is as shown in Figure 5：
Rule match system access the Internet Audit data, forms after parsing reduction, lattice turn, standardization etc. are processed
Structural data stream.
Rule match system is extracted needs the field that is mated to be spliced into table name inquiry in index example in data flow,
Corresponding simple conjunction numbering (subrule_id) is obtained, merger simple conjunction numbering (subrule_id) simultaneously records hit
Number of times.
Splicing simple conjunction is numbered (subrule_id) and needs the numbering mapping of hit-count (hitnum) rule searching
Example, obtains rule numbers (ruleid).
Corresponding Rule Information is obtained using with rule numbers (ruleid) table name in Rule Information example
(ruleinfo).
Rule-based filtering condition is obtained from Rule Information (ruleinfo) member, the rule of data hit is filtered,
Rule after filtration is the final rule of data hit.
Rule action is taken out from Rule Information (ruleinfo) member, data are operated accordingly.
Corresponding operation system is arrived by operation system numbering (rule_systemid) output.
Operation system carries out other business operations such as Real-time Alarm according to the data that come of rule match system output.
The flow process of the present invention is as shown in Figure 6：
1) by service center, according to the related concrete business of user, create-rule, and regular center is handed down to；
2) regular center, the business rule that service center is issued, are issued to rule parsing system, and advise business simultaneously
Then store in rule database；
3) rule parsing system receives the rule for issuing in rule, and rule is parsed, and forms structuring rule,
And corresponding information is respectively stored into the Rule Information example of Redis master libraries, is indexed in example, rule ID map example；
4) by the master slave mode of Redis memory databases, master library fresh information is synchronized to strictly all rules matching system
In；
5) rule match system cluster, carries out rule match, and is carried out according to the rule of coupling to the Internet Audit data
Corresponding operation, while the corresponding business datum of output.
Wherein, rule parsing is as shown in Figure 7：
1) rule (add) is increased newly：
Directly to rule parsing, by parsing after rule association information be inserted respectively into the Rule Information reality of Redis master libraries
In example, index example, rule ID map example.
2) alteration ruler (mod)：
According to the rule ID that parsing is obtained, search in Rule Information example, index example, rule ID map example corresponding
Information deleted；
Again by parsing after rule association information be inserted respectively into Redis master libraries Rule Information example, index example,
In rule ID map example.
3) deletion rule (del)：
According to the rule ID that parsing is obtained, search in Rule Information example, index example, rule ID map example corresponding
Information deleted.
As shown in figure 8, the Redis memory databases include master library and from storehouse：
Redis master libraries receive the structuring rule after rule parsing system analysis, and Rule Information is stored in Redis respectively
In the Rule Information example of master library, index example, rule ID map example；
By the master slave mode of Redis, automatically will be same to information instances, index example, rule ID map example delta data
All Redis are walked in rule match system cluster from storehouse.
Rule match is as shown in Figure 9：
1) structured field is extracted, code field and field contents is spliced, spliced content is
Table name, in index Query By Example, obtains subrule_id；
2) merger subrule_id, and record each subrule_id need hit-count；
3) with subrule_id#hitnum as table name, inquire about in rule ID map example, obtain ruleid；
4) with ruleid as table name, inquire about in Rule Information example, obtain ruleinfo information；
5) according to ruleinfo information, data are carried out with corresponding process operation.
In the present invention, for related is related to parameter, it is described as follows：
The present invention can accomplish 1) real-time：Towards real-time stream, rule comes into force in real time；2) expansible：Can be by industry
What business personnel individually entered line discipline writes management；3) customizable：Multiple operation systems can be supported；4) reliability.Disclosure satisfy that needs
Ask.
Claims (8)
1. a kind of complex rule matching process based on Redis memory databases, including poke in rule parsing system, Redis
According to storehouse, rule match system, comprise the following steps：
1) service center is according to the related concrete service generation business rule of user, and business rule is handed down to regular center；
2) business rule that service center is issued is issued to rule parsing system by the regular center, and simultaneously by business rule
Store in rule database；
3) the rule parsing system receives the business rule that regular center issues, and business rule is parsed, and forms knot
Structureization rule, and by corresponding information be respectively stored into Redis memory database master libraries Rule Information example, index example,
In rule ID map example；
4) by the master slave mode of Redis memory databases, master library fresh information is synchronized in strictly all rules matching system；
5) rule match system cluster carries out rule match to the Internet Audit data, and is carried out according to the rule of coupling corresponding
Operation, while the corresponding business datum of output.
2. the complex rule matching process based on Redis memory databases according to claim 1, it is characterised in that：Step
Rapid 3) in, rule parsing system analysis rule is described with expansible xml language, and the regular content includes Regularia
Type, algorithm, rule ID, logic rules, rule-based filtering condition, rule action, the analytic method include newly-increased rule, repair
Change rule and deletion rule, the newly-increased rule be directly to rule parsing, by parsing after rule association information insert respectively
In Rule Information example, index example, rule ID map example to Redis memory database master libraries；The alteration ruler is
According to the rule ID that parsing is obtained, corresponding information is searched in Rule Information example, index example, rule ID map example and entered
Row delete, then by parsing after rule association information be inserted respectively into the Rule Information example of Redis memory database master libraries, rope
Draw in example, rule ID map example；The deletion rule is the rule ID obtained according to parsing, in Rule Information example, rope
Draw corresponding information is searched in example, rule ID map example and deleted.
3. the complex rule matching process based on Redis memory databases according to claim 1, it is characterised in that：Institute
Stating Redis memory databases includes Rule Information example, index example, rule ID map example, step 4) in, the Redis
Memory database master library receives the structuring rule after rule parsing system analysis, and Rule Information is stored in Redis respectively
In the Rule Information example of deposit data storehouse master library, index example, rule ID map example；By the master slave mode of Redis, automatically
By information instances, index example, rule ID map example delta data be synchronized in rule match system cluster all Redis from
In storehouse.
4. the complex rule matching process based on Redis memory databases according to claim 3, it is characterised in that：Institute
It is that Rule Information member variable is that index, Rule Information member variable value are with rule numbers as table name to state Rule Information example
Content；Described index example be with the single condition in simple conjunction as table name, with simple conjunction numbering as table in
Hold；The rule ID map example is that rule is compiled with the simple conjunction for splitting out and the table name that is combined as needing hit-count
Code is content in table.
5. the complex rule matching process based on Redis memory databases according to claim 1, it is characterised in that：Step
Rapid 5) in rule match method and step as described below：
(1) need the field that is mated to be spliced into table name to look into in index example in the rule match system extraction data flow
Ask, obtain corresponding simple conjunction numbering, merger simple conjunction is numbered and records hit-count；
(2) splicing simple conjunction is numbered and needs hit-count rule searching numbering map example, obtains rule numbers；
(3) corresponding Rule Information is obtained using with rule numbers table name in Rule Information example；
(4) rule-based filtering condition is obtained from Rule Information member, the rule of data hit is filtered, the rule after filtration
The final rule of as data hit；
(5) rule action is taken out from Rule Information member, data are operated accordingly；
(6) corresponding operation system is arrived by operation system numbering output；
(7) operation system carries out Real-time Alarm business operation according to the data that the output of rule match system comes.
6. the complex rule matching process based on Redis memory databases according to claim 1, it is characterised in that：Institute
State Redis memory databases and be set to master slave mode, master library is responsible for read-write operation, be only responsible for read operation from storehouse；The master library portion
Administration from the server that storehouse is deployed to rule match system, is ensured except Redis with this on the server of rule parsing system
Outside the master-slave synchronisation of memory database, the Redis memory banks operation of individual node is all in-local, reduces poke in Redis
According to the network delay that storehouse operates.
7. the complex rule matching process based on Redis memory databases according to claim 2, it is characterised in that：?
In Rule content, the rule type is to define regular execution action, increases including rule, deletes, updates operation；The business
System Number is that the multiple operation systems of the system support are while carry out rule match in order to indicate the operation system for issuing rule；
The rule numbers are regular unique marks；The logic rules are business logic rule expressions to be processed, support by with,
Or, bracket composition complex logic expression formula；The protocol type numbering is the protocol filtering condition of regular hiting data；Described
Rule action is description rule hiting data institute operation to be performed.
8. the complex rule matching process based on Redis memory databases according to claim 1, it is characterised in that：Step
Rapid 3) in, after the rule parsing system receives the business rule that service center is issued, business rule is parsed, by business
Rule splits into the form of disjunctive normal form, and to the one new numbering of each simple conjunction splitted out in disjunctive normal form,
The condition number of each simple conjunction is recorded simultaneously.
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| CN107679203A (en) * | 2017-10-12 | 2018-02-09 | 广州华多网络科技有限公司 | A kind of Redis internal databases call method and system |
| CN109033206A (en) * | 2018-06-29 | 2018-12-18 | 北京奇虎科技有限公司 | A kind of rule matching method, Cloud Server and rule match system |
| CN109491988A (en) * | 2018-11-05 | 2019-03-19 | 北京中安智达科技有限公司 | A kind of data real time correlation method for supporting full dose to update |
| CN110120146A (en) * | 2019-04-25 | 2019-08-13 | 新浪网技术(中国)有限公司 | It is a kind of based on platform system in the alarm method of platform system in alarm and alarm |
| CN110502327A (en) * | 2019-08-28 | 2019-11-26 | 四川长虹电器股份有限公司 | Method based on the processing of Redis high concurrent delayed tasks |
| CN110955683A (en) * | 2019-11-28 | 2020-04-03 | 苏州雄立科技有限公司 | Regular expression-based data stream searching method, device and system |
| CN111209266A (en) * | 2019-12-20 | 2020-05-29 | 深圳昂楷科技有限公司 | Auditing method and device based on Redis database and electronic equipment |
| CN111639101A (en) * | 2020-04-27 | 2020-09-08 | 浙江时空道宇科技有限公司 | Method, device and system for correlating rule engine system of internet of things and storage medium |
| CN111930383A (en) * | 2020-06-30 | 2020-11-13 | 广西东信易联科技有限公司 | Business processing engine based on lightweight rule and processing method of business system |
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| CN107679203A (en) * | 2017-10-12 | 2018-02-09 | 广州华多网络科技有限公司 | A kind of Redis internal databases call method and system |
| CN107679203B (en) * | 2017-10-12 | 2020-11-13 | 广州华多网络科技有限公司 | Redis internal database calling method and system |
| CN109033206B (en) * | 2018-06-29 | 2021-06-01 | 北京奇虎科技有限公司 | Rule matching method, cloud server and rule matching system |
| CN109033206A (en) * | 2018-06-29 | 2018-12-18 | 北京奇虎科技有限公司 | A kind of rule matching method, Cloud Server and rule match system |
| CN109491988A (en) * | 2018-11-05 | 2019-03-19 | 北京中安智达科技有限公司 | A kind of data real time correlation method for supporting full dose to update |
| CN109491988B (en) * | 2018-11-05 | 2021-12-14 | 北京中安智达科技有限公司 | Data real-time association method supporting full-scale updating |
| CN110120146A (en) * | 2019-04-25 | 2019-08-13 | 新浪网技术(中国)有限公司 | It is a kind of based on platform system in the alarm method of platform system in alarm and alarm |
| CN110502327A (en) * | 2019-08-28 | 2019-11-26 | 四川长虹电器股份有限公司 | Method based on the processing of Redis high concurrent delayed tasks |
| CN110955683A (en) * | 2019-11-28 | 2020-04-03 | 苏州雄立科技有限公司 | Regular expression-based data stream searching method, device and system |
| CN110955683B (en) * | 2019-11-28 | 2024-01-09 | 苏州雄立科技有限公司 | Regular expression-based data stream searching method, device and system |
| CN111209266A (en) * | 2019-12-20 | 2020-05-29 | 深圳昂楷科技有限公司 | Auditing method and device based on Redis database and electronic equipment |
| CN111639101B (en) * | 2020-04-27 | 2022-12-06 | 浙江时空道宇科技有限公司 | Method, device and system for correlating rule engine system of internet of things and storage medium |
| CN111639101A (en) * | 2020-04-27 | 2020-09-08 | 浙江时空道宇科技有限公司 | Method, device and system for correlating rule engine system of internet of things and storage medium |
| CN111930383A (en) * | 2020-06-30 | 2020-11-13 | 广西东信易联科技有限公司 | Business processing engine based on lightweight rule and processing method of business system |
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Application publication date: 20170315 |