CN110297840A - Data processing method, device, equipment and the storage medium of rule-based engine - Google Patents
Data processing method, device, equipment and the storage medium of rule-based engine Download PDFInfo
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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
- G06F16/24—Querying
- G06F16/242—Query formulation
- G06F16/2433—Query languages
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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 invention discloses data processing method, device, equipment and the storage mediums of a kind of rule-based engine.The described method includes: receiving the data acquisition instruction comprising processing target and target data source, business datum collection is obtained from target data source；After pre-processing according to all business datums that preset Sql processing rule concentrates business datum, business datum result set is obtained；It calls distributed computing engine to traverse business datum result set, and each group of business datum in business datum result set is converted into first object；The determining and matched business rule collection of processing target from preset rules database；The business rule that business rule is concentrated is determined according to the business datum in the first object；According to business rule selection rule engine, and the regulation engine by choosing calls business rule to handle the first object, and obtains the processing result of output.The data processing method of the rule-based engine provided through the invention can promote layman's operating efficiency.
Description
Technical field
The present invention relates to data processing field more particularly to a kind of data processing method of rule-based engine, device, set
Standby and storage medium.
Background technique
Regulation engine is a kind of component being embedded in the application, can reduce realization complicated business using regulation engine
The complexity of logic module improves the maintainability and scalability of application program.Conventionally, as regulation engine is simultaneously
It is not suitable for the scene that data volume is big and rule is complicated and changeable to need to have when if desired by regulation engine in conjunction with big data
The professional of abundant big data technology, programming professional knowledge and programming experience, therefore, if you need to by regulation engine and big data
It is combined, needs the very strong professional of professional technique, for layman, be very easy to malfunction and operate effect
Rate is low, therefore, finds the problem of a kind of technical solution that can solve problem above becomes those skilled in the art's urgent need to resolve.
Summary of the invention
Based on this, it is necessary in view of the above technical problems, provide data processing method, the dress of a kind of rule-based engine
It sets, equipment and storage medium, regulation engine and big data can be combined, and the present invention is suitable for layman, mentions
Operating efficiency and user experience are risen.
A kind of data processing method of rule-based engine, comprising:
The data acquisition instruction comprising processing target and target data source is received, obtains business number from the target data source
According to collection, it includes at least one set of business datum that the business datum, which is concentrated,；
All business datums that rule concentrates the business datum are handled according to preset Sql to pre-process
Afterwards, business datum result set is obtained；
Distributed computing engine is called to traverse the business datum result set, and will be every in the business datum result set
Business datum described in one group is converted into first object；
The determining and matched business rule collection of the processing target from preset rules database, the business rule are concentrated
Including at least one business rule；
Determine that the business rule is concentrated and the business datum according to the business datum in first object
The business rule matched；
According to the matched business rule selection rule engine of the business datum, and by choose the rule
Engine calling is handled first object with the matched business rule of the business datum, and obtains the place of output
Reason is as a result, the processing result is corresponding with the processing target.
A kind of data processing equipment of rule-based engine, comprising:
Receiving module, for receiving the data acquisition instruction comprising processing target and target data source, from the number of targets
Business datum collection is obtained according to source, it includes at least one set of business datum that the business datum, which is concentrated,；
Preprocessing module, for handling all business that rule concentrates the business datum according to preset Sql
After data are pre-processed, business datum result set is obtained；
Conversion module, for calling distributed computing engine to traverse the business datum result set, and by the business number
First object is converted into according to business datum described in each group in result set；
First determining module, for the determining and matched business rule of the processing target from preset rules database
Collection, it includes at least one business rule that the business rule, which is concentrated,；
Second determining module, for determining that the business rule is concentrated according to the business datum in first object
With the matched business rule of the business datum；
Module is obtained, for basis and the matched business rule selection rule engine of the business datum, and is passed through
The regulation engine calling chosen is handled first object with the matched business rule of the business datum,
And the processing result of output is obtained, the processing result is corresponding with the processing target.
A kind of computer equipment, including memory, processor and storage are in the memory and can be in the processing
The computer program run on device, the processor realize the data of above-mentioned rule-based engine when executing the computer program
Processing method.
A kind of computer readable storage medium, the computer-readable recording medium storage have computer program, the meter
Calculation machine program realizes the data processing method of above-mentioned rule-based engine when being executed by processor.
Data processing method, device, equipment and the storage medium of above-mentioned rule-based engine, the present invention are received comprising processing
The instruction of the data acquisition of target and target data source obtains business datum collection, the business datum collection from the target data source
In include at least one set of business datum；All business that rule concentrates the business datum are handled according to preset Sql
After data are pre-processed, business datum result set is obtained；Distributed computing engine is called to traverse the business datum result set,
And business datum described in each group in the business datum result set is converted into first object；From preset rules data
The determining and matched business rule collection of the processing target in library, it includes at least one business rule that the business rule, which is concentrated,；
It is matched described with the business datum to determine that the business rule is concentrated according to the business datum in first object
Business rule；According to the matched business rule selection rule engine of the business datum, and by choose the rule
Then engine calling is handled first object with the matched business rule of the business datum, and obtains output
Processing result, the processing result are corresponding with the processing target.The present invention passes through the above-mentioned business number in target data source
According to data handling procedure, it is automatic choose can with the matched regulation engine of business datum business rule, and then according to the rule
Engine is transferred business rule and is handled the first object made of business datum conversion, and above-mentioned treatment process can pass through service
Device combines closely regulation engine and business datum (big data), without abundant big data technology, programming professional knowledge and volume
Professional person's participation of journey experience is handled, and regulation engine and other expand tool (such as distributed computing engine, various expansions
Interface etc.) can cooperate reuse；It is suitable for the real-time processing etc. of the processed offline and big data of big data
Different data handles scene.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by institute in the description to the embodiment of the present invention
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without any creative labor, can also be according to these attached drawings
Obtain other attached drawings.
Fig. 1 is an application environment schematic diagram of the data processing method of rule-based engine in one embodiment of the invention；
Fig. 2 is a flow chart of the data processing method of rule-based engine in one embodiment of the invention；
Fig. 3 is the data processing method steps S20 of rule-based engine in one embodiment of the invention in an application environment
Under flow diagram；
Fig. 4 is the data processing method steps S50 of rule-based engine in one embodiment of the invention in an application environment
Under flow diagram；
If Fig. 5 is the data processing method steps of rule-based engine in one embodiment of the invention under an application environment
Business rule concentrates the flow diagram with the quantity of the matched business rule of business datum in the first object for zero；
Fig. 6 is the data processing method steps S505 of rule-based engine in one embodiment of the invention in an application environment
Under flow diagram；
Fig. 7 is the structural schematic diagram of the data processing equipment of rule-based engine in one embodiment of the invention；
Fig. 8 is a schematic diagram of computer equipment in one embodiment of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
The data processing method of rule-based engine provided by the invention, can be applicable in the application environment such as Fig. 1,
In, client is communicated by network with server.Wherein, client can be, but not limited to various personal computers, notes
This computer, smart phone, tablet computer and portable wearable device.Server can be either multiple with independent server
The server cluster of server composition is realized.
In one embodiment, it as shown in Fig. 2, providing a kind of data processing method of rule-based engine, answers in this way
It is illustrated, includes the following steps: for the server in Fig. 1
S10 receives the data acquisition instruction comprising processing target and target data source, obtains industry from the target data source
Business data set, it includes at least one set of business datum that the business datum, which is concentrated,.
It is understood that processing target refers to that carrying out data processing in the present invention to business datum (may include Sql
One such or a variety of data processing methods such as rule process, the processing of java plug-in interface or rules engines processes are handled,
Can specifically apply under the processed offline scene of big data) after, a desired processing result, for example, if industry
Business data are pre-tax salary (including basic wage or performance pay), can be by obtaining Individual Income Tax, five one gold medals of danger after data processing
Or the processing such as pay after tax is as a result, at this point it is possible to be set as processing target for Individual Income Tax, five danger one gold medals or pay after tax etc.；Target
Data source can include but is not limited to relational database (such as Oracle, Mysql), non-relational database (such as Hbase,
ElasticSearch, MongoDB etc.) and file (such as Excel, CSV) or message server (such as kafka or RocketMQ
Deng) etc.；Specifically, a processing target, and target data where business datum needed for the determining processing target are being received
When source, server is received to be instructed comprising the data acquisition of processing target and target data source, and from the business of target data source
Business datum is obtained in data set；Business datum concentration includes by multiple and different card i/fs (data of multiple card i/fs
Source can be used as target data source) business datum transferred, since the business datum transferred from multiple and different card i/fs may
There are different data types (for example being character, array, character string etc.), at this time can be in server among business datum collection
Before obtaining business datum, the business datum of different types of data is normalized first, while by same alike result
Business datum is integrated, and the business datum collection with integrality and compatibility is obtained.
S20 handles all business datums that rule concentrates the business datum according to preset Sql and is located in advance
After reason, business datum result set is obtained.
In this step, certain pretreatment behaviour may be implemented comprising at least one (may include multiple) in Sql processing rule
The Sql sentence of work, this Sql processing rule can be with pretreatment (Screening Treatment, filtration treatment and the packet aggregation of finishing service data
One of pretreatment operations such as processing are a variety of)；Business datum result set is to obtain and industry after business datum pre-processed
It is engaged in the corresponding data processed result of each business datum in data set.
In the present embodiment, the business datum centralized traffic data that S10 step is obtained from target data source are pre-processed,
Including being grouped polymerization to required business datum to presence and after useless business datum progress screening and filtering processing, from
And required business datum can be further determined from a large amount of business datum, required business datum can also be carried out
The arrangement of standardization, obtain a cleaner and tidier business datum result set (in business datum result set at this time business datum with
Processing target fits like a glove, and do not deposit how hash, while be grouped polymerization), and the work of regulation engine can be reduced
Amount.
Further, as shown in figure 3, the step S20, comprising:
S201, confirmation carry out pretreated pretreatment type to the business datum collection, and the pretreatment type includes sieve
One of choosing processing, filtration treatment and packet aggregation processing are a variety of.
In this step, Screening Treatment, filtration treatment and the packet aggregation processing in type are pre-processed.
S202 transfers corresponding Sql rule template according to the pretreatment type.
Understandably, due to the corresponding Sql rule template of every kind of pretreatment type all having differences property, Sql rule template
It may be made of the corresponding Sql rule template of a variety of pretreatment types；Each Sql rule template can be in its predeterminated position
It inserts after corresponding data attribute, generates a Sql processing rule, Sql processing rule can execute at least one pre- place
Reason operation.
S203 obtains the data attribute corresponding with the pretreatment type of user's input.
Specifically, user can input the corresponding data attribute of pretreatment type for wanting to carry out in input interface, for example,
The data attribute of input is that Screening Treatment can generate corresponding operation in a subsequent step.
The data attribute is inserted into the predeterminated position in the Sql rule template, generated and the data attribute by S204
Associated Sql processing rule, the Sql processing rule is for carrying out pretreatment corresponding with the pretreatment type.
Understandably, there may be the Sql sentences of at least one for each Sql processing rule, and each Sql sentence can be complete
At its corresponding function.That is, S201 to step S204, i.e., a producible complete Sql handle rule through the above steps,
And in this process, user, which is not necessarily to be familiar with Sql programming language, can be completed the regular create-rule of Sql processing, therefore can be with
It is available for non-expert application extensively.
S205 tests the Sql by preset test interface and handles whether rule is correct sentence.
In this step, the Sql sentence in Sql processing rule (for example is obtained in step slo it is possible that individualized reasons
The business datum got is concentrated, when can not get attribute value corresponding with the data attribute in Sql processing rule, at this time
Sql processing rule is unable to run and is pre-processed) cause to cannot get last business datum result (i.e. operation result), because
This, it is only necessary to operation Sql processing rule is gone by preset test interface, that is, can verify that the Sql sentence in Sql processing rule is
No is correct sentence, in Sql processing rule correctly in situation, by preset test interface can be carried out with data attribute and
Pre-process the corresponding pretreatment of type.That is, in the present embodiment, test Sql processing rule whether be correct sentence process
Only need to call default test interface that can carry out automatically, reduce Sql processing rule error probability, meanwhile, the process without
The professional person that need to be familiar with Sql programming language participates in, and therefore, has expanded application range significantly, has also improved testing efficiency.
S206 executes the Sql processing rule and connects from the test if Sql processing rule is correct sentence
Mouthful corresponding with the pretreatment type and the data attribute business datum is returned to as a result, and by the business datum
As a result it is put into the business datum result set.
In this step, when Sql processing rule is correct sentence, rule directly is handled to business datum using this Sql
The all business datums concentrated are pre-processed, and business datum result corresponding with each group of business datum is put into business
Data result is concentrated.
S207 prompts the processing rule of Sql described in the user wrong if Sql processing rule is wrong sentence.
In this step, when Sql processing rule is wrong sentence, illustrate that handling rule using this Sql cannot must take office
It anticipates a business datum result.It needs to prompt Sql processing rule wrong at this time, while Sql processing rule can be prompted
Wrong place and modify in the wrong place (while can prompt user that can join according to the modification record of historical user before this
According to modification mode), or prompt user returns into step S201 and regenerates new Sql processing rule.
S30 calls distributed computing engine to traverse the business datum result set, and will be in the business datum result set
Each group described in business datum be converted into first object.
It is understood that distributed computing is a kind of calculation method, and it is opposite that centralization, which calculates,；With calculating skill
The development of art, some applications are needed very huge computing capability that could complete, if calculated using centralization, need to expend phase
When long time completes；Distributed computing (can be summarized as reading data, calculating and the process of storage) is by the application decomposition
It at many small parts, distributes to multiple stage computers and is handled, the overall calculation time can be saved in this way, greatly improve calculating
Efficiency, at this point, distributed computing engine (such as Mapreduce, Spark etc.) can be applied to distributed computing；Specifically, due to
Data volume in business datum result set is also possible to very greatly, at this point, distributed computing engine is called to traverse business datum result set,
After business datum in business datum result set being carried out distributed allocation, so that each of these group (or multiple groups)
Business datum (recording) is assigned to different computers and is handled, while every by what is handled in different computers
One group of business datum is converted into first object (i.e. Po, Persisent Object, persistent object), and business datum is converted
The Po object directly can be passed through into business rule (business rule and the Po object matching namely the industry at after Po object
Business rule can be used for handling the Po object) it is handled to obtain processing result, it can also be in case of need by the Po
After object is converted to other objects, pass through other business rules (other business rules and other object matchings, and can be to it
He is handled object) it handles and obtains processing result.
In the present embodiment, by the calling of distributed computing engine, to a large amount of business datum result set (namely big number
According to) distributed treatment is carried out, the processing time can be saved, promotes treatment effeciency, and then can be improved in business datum result set
Business datum be converted into the transfer efficiency of the first object.
S40, the determining and matched business rule collection of the processing target, the business rule from preset rules database
Concentrating includes at least one business rule.
It is understood that concentrating the business rule for including with the matched business rule of processing target, each meaning can be right
Business datum carries out data processing, and carries out obtained processing result and the matched business rule of processing target after data processing
Then, business rule collection and business rule therein can be named according to processing target etc..Rule in business rule
Content can be set according to demand, and all business rules (or business rule collection) are stored in from preset rules data
In library.
In another embodiment, it may not found from preset rules database and the matched business rule collection of processing target
(namely with the matched business rule collection of processing target be sky), then can notify user from preset rules database and be not present
Business rule collection corresponding with the processing target, can also notify user to increase new business rule, pass through at this point it is possible to receive
Business rule add interface input Added Business rule, and by Added Business rule store to from preset rules database with
(the business rule collection if it does not exist, then can be according to the corresponding processing of Added Business rule for its corresponding business rule concentration
As a result new business rule set).
S50 determines that the business rule is concentrated and the business number according to the business datum in first object
According to the matched business rule.
It is understood that since different places can be calculated in different business datums by different business rules
Reason by different business datums as a result, at this point, can also be determined and the matched different business rule of the business datum, such as industry
Business data are pre-tax salary data (including basic wage or performance pay), and processing target is Individual Income Tax, if business rule can root
According to pre-tax salary data (some or all pre-tax salary data therein) by obtaining after data processing Individual Income Tax at this
Reason is as a result, the business rule is matched with the pre-tax salary data (business datum)；For example business datum is an office manager's
The deposit business data of client, processing target are Individual Income Tax, if business rule can be according to the deposit business data (part therein
Or all deposit business data) calculating this processing result of the commission of the office manager, then the business rule is and the deposit
The matched business rule of business datum；Specifically, if business datum in the first object include in business rule need it is defeated
Enter business datum (business rule calculates all business datums required for corresponding processing result), can determine it as
With the matched business rule of business datum in the first object；If the business datum in the first object does not include in business rule
All business datums to be entered then illustrate that the business datum in first object is not and the matched business datum of business rule.
In the present embodiment, since Business Rule Engine handles a kind of business datum incessantly, and the business datum handled can also
To include a variety of corresponding business rules, therefore, the business rule collection established is processing mesh corresponding with business datum
Mark matching obtains, and obtains the determining matched business rule of business datum with first pair of object of business rule collection in matching,
So as to avoid business datum from directly matching with business rule, and then the match time of business rule can be reduced.
Further, as shown in figure 4, the step S50, comprising:
S501 judges that the business rule is concentrated and the matched business of the business datum in first object
Whether the quantity of rule is greater than one.
Understandably, business datum is concentrated may be with the quantity of the matched business rule of business datum in the first object
Zero, one or more (being greater than one).
S502 is advised if the business rule is concentrated with the matched business of the business datum in first object
The quantity then is greater than one, then all business rules of the service set is determined as the business rule and concentrated
The business rule of regulation engine to be matched.
In this step, when business rule, which is concentrated, is greater than one with the quantity of the matched business rule of business datum, this
When, business rule can be chosen, all business rules is concentrated to concentrate the business of regulation engine to be matched to advise as business rule
Then, that is, being selected for data processing and showing that the business rule of processing result may include multiple.
In the present embodiment, by judging that business rule is concentrated and the matched business rule of business datum in the first object
Whether quantity is greater than one, finally can make corresponding measure according to the quantity of matched business rule, so as to prevent
Influence of the variability of the quantity for the business rule matched to rules engines processes result.
In one embodiment, after the step S501, further includes:
If the business rule is concentrated and the matched business rule of the business datum in first object
The quantity is equal to one, then the business rule concentrated the business rule is determined as the business rule of regulation engine to be matched
Then.
In this step, when business rule, which is concentrated, is equal to one with the quantity of the matched business rule of business datum,
It then can directly choose it and enter step in S60, according to the business rule matching rule engine.
In one embodiment, as shown in figure 5, after the step S501, further includes:
S503 is advised if the business rule is concentrated with the matched business of the business datum in first object
The quantity then is zero, then obtains other business rules that the business rule is concentrated, and obtains other business rule
Business datum to be entered needed for then.
S504, according in first object the business datum with needed for other described business rules described in defeated
Enter the transformational relation between business datum and transfer preset custom function and blocker, and passes through the preset customized letter
The several and blocker is converted to first object comprising the business datum comprising the business datum to be entered
Second object.
Other described business rules are determined as the business rule of regulation engine to be matched by S505.
In this embodiment, when business rule concentrates the quantity with the matched business rule of business datum in the first object
When being equal to zero, at this time may be business datum in the first object and all business rules that business rule is concentrated not
Match, at this point it is possible to first business rule concentrate determine one still it can be concluded that with the matched processing result of processing target its
His business rule, and the business rule for needing to carry out data processing using other business rules as subsequent (namely draw by matching rule
The business rule held up)；Hereafter, preset custom function (UDF function) and blocker are transferred by java plug-in interface
(Interceptor) the first object is converted into the second object (comprising owning needed for other business rules in the second object
Business datum to be entered) after, matched second object of other business rules concentrated with business rule is obtained, and in subsequent step
In by other business rules to the second object carry out data processing after obtain and the matched processing result of processing target.It can manage
Xie Di (makes by oneself if business rule is concentrated also convert there is no other business rules or the first object without corresponding
Adopted function and blocker) be the business datum to be entered comprising other business rules the second object；At this point it is possible to prompt user
Switch the processing target chosen or prompt user's Added Business rule or newly-increased custom function and blocker.
In the present embodiment, the quantity with the matched business rule of business datum in the first object is concentrated in business rule
When for zero, the first object comprising business datum is converted to comprising to be entered by preset custom function and blocker
Second object of business datum, and using with the business rule of the second object matching as the business rule of regulation engine to be matched.
It thereby may be ensured that when not being matched to business rule, server can determine the business rule of one with the second object matching.
Further, as shown in fig. 6, the step S504, comprising:
S5041 calls the preset custom function by java plug-in interface, and by the institute in first object
It states and is run in the business datum input preset custom function, obtain an operation result, the operation result is by multiple
Object composition.
In the present embodiment, custom writing UDF function (preset custom function) can be gone in Hive, specifically
Ground need to write the code (i.e. according to the specification of UDF, Yao Jicheng UDF class) and the interim function of creation of UDF functional dependence in advance, will
Code is packaged into jar packet and uploads onto the server, and jar packet is added in hive from server, by interim function and jar packet
In write code dependent class (class) binding, finally just go call UDF function go to run the first object.
S5042 calls the pre-set blocker by the java plug-in interface, intercepts in the operation result
Other object records in the operation result in addition to the default object of action are described second by default object of action
Object.
Developer is set to be defined on a row it is understood that blocker (Interceptor) provides a kind of mechanism
To execute preceding prevention, its executes (behavior is above-mentioned object of action).Blocker is the programmed method of dispersion concern, it can be incited somebody to action
General requirment function is never separated among associated class；Meanwhile, it is capable to share a behavior, once behavior changes, no
It is required to change many classes, as long as modifying this behavior；Blocker comes out many functional independences, substantially reduces code number
Amount.
S60, according to the matched business rule selection rule engine of the business datum, and by choose it is described
Regulation engine calling is handled first object with the matched business rule of the business datum, and obtains output
Processing result, the processing result is corresponding with the processing target.
It is understood that in business rule include multiple parameter of regularity, due to every kind of business rule all have it is different
Parameter of regularity (parameter of regularity can be indicated with code), and different parameter of regularity needs different regulation engines to go to be located
Reason, only can handle the parameter of regularity (namely the parameter of regularity supports the regulation engine) of the business rule in the regulation engine
When, which can just call the business rule；It therefore, can be according to business rule (parameter of regularity in business rule)
It goes to determine that (regulation engine can be used for handling parameter of regularity in the business rule to selection rule engine namely the rule is drawn
The business rule can be called by holding up), and according to the regulation engine determined call corresponding business rule go to the first object into
Row data processing obtains a processing result, and the processing result is identical as processing target.
In the present embodiment, due to corresponding to different parameter of regularity in Different Rule engine, and business rule is rule-based
Parameter establish, therefore, by with the matched business rule selection rule engine of business datum, can quickly determine can really
It is successfully processed the regulation engine of business datum.
Further, after the step S60, further includes:
A, the business datum according to each group in the business datum result set and with business datum pair described in each group
The processing result answered generates mapping table, and the mapping table is stored to target data storage source.
In this step, each group business datum can be according to certain in the corresponding business datum result set of processing result
Mapping relations (such as table name, index name, file name) generate mapping table.Namely the present embodiment may insure processing knot
Fruit shows a kind of relationship mark for having various connections, and the personnel of being convenient to check.
It further, include business datum corresponding from different storing data attributes, the step in the mapping table
After rapid A, further includes:
By preset plug-in interface obtain in other data sources with the storing data attribute each in the mapping table
Corresponding target data, and the target data stored in the mapping table into the target data storage source.
In this step, the target data of other data sources is that the business datum that can be used in mapping table carries out
The business datum of integration, but target data should be the preset storing data attribute (number with business datum each in mapping table
It is identical according to attribute).Namely the present embodiment can integrate the target data in other data sources into mapping table, so as to
Mapping table is allowed to tend to be comprehensive.
Further, before the step S60, further includes:
It is pre-configured with the business rule, and the business rule is stored to described from preset rules database, it is described
Comprising the corresponding relationship between the business datum to be entered and the processing result in business rule, and it is described for supporting
The parameter of regularity of regulation engine.
It is understood that business datum to be entered is required industry when carrying out data processing by business rule
Business data, are if desired handled the business datum in the first object by business rule, then the business number of first object
All business datums to be entered in the business rule should be included in；The business in the first object is being handled by business rule
After data, generate a processing result, i.e., the corresponding processing result of business datum to be entered (namely above-mentioned processing mesh
Mark).Understandably, since every kind of business rule all has different parameter of regularity (parameter of regularity can be indicated with code),
And different parameter of regularity needs different regulation engines to go to be handled, and only can handle business rule in the regulation engine
When parameter of regularity (namely the parameter of regularity supports the regulation engine) then, which can just call the business rule；
Understandably, the parameter of regularity in business rule may include the mixing of code Yu data attribute value.
Further, before the step S60, further includes:
The business rule modification information for receiving business rule modification interface input, according to the business rule modification information pair
The business rule from preset rules database is modified；Or
Receive business rule addition interface input Added Business rule, by the Added Business rule store to it is described from
Preset rules database.
It is understood that user modifies business rule according to the variation of business when a certain business changes, generate
Business rule modification information, and interface incoming traffic rules modification information is modified by business rule, it is modified using business rule
The business rule that information concentrates business rule corresponding from presetting database is modified.
Similarly, when there is newly-increased business, user writes Added Business rule according to newly-increased business, passes through business rule
Interface input Added Business rule is added, Added Business rule is stored to corresponding with Added Business rule from presetting database
Added Business rule set.
In conclusion above provide a kind of data processing method of rule-based engine, receive comprising processing target and
The data acquisition of target data source instructs, and obtains business datum collection from the target data source, the business datum concentration includes
At least one set of business datum；According to preset Sql handle rule to the business datum concentrate all business datums into
After row pretreatment, business datum result set is obtained；Distributed computing engine is called to traverse the business datum result set, and by institute
Business datum described in stating each group in business datum result set is converted into first object；Really from preset rules database
The fixed and matched business rule collection of the processing target, it includes at least one business rule that the business rule, which is concentrated,；According to institute
It states the business datum in the first object and determines that the business rule is concentrated and the matched business rule of the business datum
Then；According to the matched business rule selection rule engine of the business datum, and by choose the regulation engine
Calling is handled first object with the matched business rule of the business datum, and obtains the processing knot of output
Fruit, the processing result are corresponding with the processing target.The present invention passes through the above-mentioned number to the business datum in target data source
According to treatment process, it is automatic choose can with the matched regulation engine of business datum business rule, and then according to the regulation engine tune
Business rule is taken to handle the first object made of business datum conversion, above-mentioned treatment process can will be advised by server
Then engine is combined closely with business datum (big data), without abundant big data technology, programming professional knowledge and programming experience
Professional person's participation processing, and regulation engine and other expand tool (such as distributed computing engine, various expansion interfaces
Deng) can cooperate reuse；It is suitable for real-time processing of processed offline and big data of big data etc. is different
Data processing scene.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
In one embodiment, a kind of data processing equipment of rule-based engine, the data of the rule-based engine are provided
The data processing method of rule-based engine corresponds in processing unit and above-described embodiment.As shown in fig. 7, this is rule-based
The data processing equipment of engine includes receiving module 11, preprocessing module 12, conversion module 13, the first determining module 14, second
Determining module 15 and acquisition module 16.Detailed description are as follows for each functional module:
Receiving module 11, for receiving the data acquisition instruction comprising processing target and target data source, from the target
Data source obtains business datum collection, and it includes at least one set of business datum that the business datum, which is concentrated,；
Preprocessing module 12, for handling all industry that rule concentrates the business datum according to preset Sql
After business data are pre-processed, business datum result set is obtained；
Conversion module 13, for calling distributed computing engine to traverse the business datum result set, and by the business
Business datum described in each group of data result concentration is converted into first object；
First determining module 14, for the determining and matched business rule of the processing target from preset rules database
Collection, it includes at least one business rule that the business rule, which is concentrated,；
Second determining module 15, for determining the business rule collection according to the business datum in first object
In with the matched business rule of the business datum；
Module 16 is obtained, for basis and the matched business rule selection rule engine of the business datum, and is led to
Cross choose the regulation engine call with the matched business rule of the business datum to first object at
Reason, and the processing result of output is obtained, the processing result is corresponding with the processing target.
Further, the preprocessing module includes:
Confirm submodule, pretreated pretreatment type, the pretreatment are carried out to the business datum collection for confirming
Type includes one of Screening Treatment, filtration treatment and packet aggregation processing or a variety of；
Submodule is transferred, for transferring corresponding Sql rule template according to the pretreatment type；
First acquisition submodule, for obtaining the data attribute corresponding with the pretreatment type of user's input；
Generate submodule, the predeterminated position for being inserted into the data attribute in the Sql rule template, generation and institute
The associated Sql processing rule of data attribute is stated, the Sql processing rule is for carrying out pre- place corresponding with the pretreatment type
Reason；
Submodule is tested, handles whether rule is correct sentence for testing the Sql by preset test interface；
Implementation sub-module, if being correct sentence for Sql processing rule, execute Sql processing rule and from
The test interface returns to the business datum corresponding with the pretreatment type and the data attribute as a result, and by institute
Business datum result is stated to be put into the business datum result set；
Prompting submodule prompts Sql described in the user to handle if being wrong sentence for Sql processing rule
Rule is wrong.
Further, second determining module includes:
Judging submodule is matched for judging that the business rule is concentrated with the business datum in first object
The quantity of the business rule whether be greater than one；
First determines submodule, if concentrating and the business datum in first object for the business rule
The quantity for the business rule matched is greater than one, then all business rules of the service set is determined as institute
State the business rule that business rule concentrates regulation engine to be matched.
Further, the judging submodule further include:
Second acquisition submodule, if being concentrated and the business datum in first object for the business rule
The quantity for the business rule matched is zero, then obtains other business rules that the business rule is concentrated, and obtain
Business datum to be entered needed for other described business rules；
Transform subblock, for according in first object the business datum and other described business rules needed for
The business datum to be entered between transformational relation transfer preset custom function and blocker, and by described default
Custom function and the blocker first object comprising the business datum is converted to comprising described to be entered
Second object of business datum；
Second determines submodule, for other described business rules to be determined as to the business rule of regulation engine to be matched.
Further, the transform subblock includes:
Call unit, for calling the preset custom function by java plug-in interface, and by described first pair
The business datum as in, which inputs in the preset custom function, to be run, and an operation result, the operation knot are obtained
Fruit is made of multiple objects；
Recording unit intercepts the fortune for calling the pre-set blocker by the java plug-in interface
Object of action is preset in row result, is by other object records in the operation result in addition to the default object of action
Second object.
Further, the data processing equipment of the rule-based engine further include:
Generation module, for the business datum according to each group in the business datum result set and with described in each group
The corresponding processing result of business datum generates mapping table, and the mapping table is stored to target data and is deposited
The source of bank savings.
Further, the data processing equipment of the rule-based engine further include:
Configuration module is stored for being pre-configured with the business rule, and by the business rule to described from default rule
Then database, comprising the corresponding relationship between the business datum to be entered and the processing result in the business rule, with
And the parameter of regularity for supporting the regulation engine.
The specific restriction of data processing equipment about rule-based engine may refer to draw above for rule-based
The restriction for the data processing method held up, details are not described herein.Each mould in the data processing equipment of above-mentioned rule-based engine
Block can be realized fully or partially through software, hardware and combinations thereof.Above-mentioned each module can be embedded in the form of hardware or independence
In processor in computer equipment, it can also be stored in a software form in the memory in computer equipment, in order to
Processor, which calls, executes the corresponding operation of the above modules.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 8.The computer equipment include by system bus connect processor, memory, network interface and
Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment
Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data
Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
The database of machine equipment is used to store the data being related in the data processing method of rule-based engine.The computer equipment
Network interface is used to communicate with external terminal by network connection.To realize one kind when the computer program is executed by processor
The data processing method of rule-based engine.
In one embodiment, a kind of computer equipment is provided, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, processor are realized rule-based in above-described embodiment when executing computer program
The step of data processing method of engine, such as step S10 shown in Fig. 2 to step S60.Alternatively, processor executes computer
The function of each module/unit of the data processing equipment of rule-based engine in above-described embodiment, such as Fig. 7 institute are realized when program
Show the function of module 11 to module 16.To avoid repeating, which is not described herein again.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program realizes the step of data processing method of rule-based engine in above-described embodiment, such as Fig. 2 when being executed by processor
Shown step S10 to step S60.Alternatively, being realized when computer program is executed by processor rule-based in above-described embodiment
The function of each module/unit of the data processing equipment of engine, such as module 11 shown in Fig. 7 is to the function of module 16.To avoid
It repeats, which is not described herein again.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided by the present invention,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram
(DDRSDRAM), enhanced SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory
Bus (Rambus) directly RAM (RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic
RAM (RDRAM) etc..
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing
The all or part of function of description.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of data processing method of rule-based engine characterized by comprising
The data acquisition instruction comprising processing target and target data source is received, obtains business datum from the target data source
Collection, it includes at least one set of business datum that the business datum, which is concentrated,；
After being pre-processed according to all business datums that preset Sql processing rule concentrates the business datum, obtain
To business datum result set；
Distributed computing engine is called to traverse the business datum result set, and by each group in the business datum result set
The business datum is converted into first object；
The determining and matched business rule collection of the processing target from preset rules database, the business rule concentration include
At least one business rule；
It is matched with the business datum to determine that the business rule is concentrated according to the business datum in first object
The business rule；
According to the matched business rule selection rule engine of the business datum, and by choose the regulation engine
Calling is handled first object with the matched business rule of the business datum, and obtains the processing knot of output
Fruit, the processing result are corresponding with the processing target.
2. the data processing method of rule-based engine according to claim 1, which is characterized in that described according to preset
After all business datums that Sql processing rule concentrates the business datum pre-process, business datum result is obtained
Collection, comprising:
Confirmation carries out pretreated pretreatment type to the business datum collection, and the pretreatment type includes Screening Treatment, mistake
One of filter processing and packet aggregation processing are a variety of；
Corresponding Sql rule template is transferred according to the pretreatment type；
Obtain the data attribute corresponding with the pretreatment type of user's input；
The data attribute is inserted into the predeterminated position in the Sql rule template, is generated and the associated Sql of the data attribute
Processing rule, the Sql processing rule is for carrying out pretreatment corresponding with the pretreatment type；
The Sql, which is tested, by preset test interface handles whether rule is correct sentence；
If Sql processing rule is correct sentence, executes the Sql processing rule and returned from the test interface and institute
Pretreatment type and the corresponding business datum of the data attribute are stated as a result, and the business datum result is put into institute
It states in business datum result set；
If the Sql processing rule is wrong sentence, prompt the processing rule of Sql described in the user wrong.
3. the data processing method of rule-based engine according to claim 1, which is characterized in that described according to described
The business datum in an object determines that the business rule is concentrated and the matched business rule of the business datum, packet
It includes:
Judge that the business rule concentrates the number with the matched business rule of the business datum in first object
Whether amount is greater than one；
If the business rule is concentrated described with the matched business rule of the business datum in first object
Quantity is greater than one, then all business rules of the service set is determined as the business rule and concentrates rule to be matched
The then business rule of engine.
4. the data processing method of rule-based engine according to claim 3, which is characterized in that the judgement industry
Whether it is greater than one with the quantity of the matched business rule of the business datum in first object in business rule set
Later, further includes:
If the business rule is concentrated described with the matched business rule of the business datum in first object
Quantity is zero, then obtains other business rules that the business rule is concentrated, and is obtained needed for other described business rules
Business datum to be entered；
According in first object the business datum and other described business rules needed for the business number to be entered
Transformational relation between transfers preset custom function and blocker, and passes through the preset custom function and described
First object comprising the business datum is converted to the second object comprising the business datum to be entered by blocker；
Other described business rules are determined as to the business rule of regulation engine to be matched.
5. the data processing method of rule-based engine according to claim 4, which is characterized in that described according to described
Conversion between the business datum to be entered needed for the business datum and other described business rules in an object is closed
System transfers preset custom function and blocker, and will include institute by the preset custom function and the blocker
First object for stating business datum is converted to the second object comprising the business datum to be entered, comprising:
The preset custom function is called by java plug-in interface, and by the business datum in first object
It inputs in the preset custom function and runs, obtain an operation result, the operation result is made of multiple objects；
The pre-set blocker is called by the java plug-in interface, intercepts and presets behavior pair in the operation result
As being second object by other object records in the operation result in addition to the default object of action.
6. the data processing method of rule-based engine according to claim 1, which is characterized in that the basis with it is described
The matched business rule selection rule engine of business datum, and the regulation engine by choosing calls and the business
The business rule of Data Matching handles first object, and after obtaining the processing result of output, further includes:
According to business datum described in each group in the business datum result set and institute corresponding with business datum described in each group
Processing result is stated, generates mapping table, and the mapping table is stored to target data storage source.
7. the data processing method of rule-based engine according to claim 1, which is characterized in that the basis with it is described
The matched business rule selection rule engine of business datum, and the regulation engine by choosing calls and the business
The business rule of Data Matching handles first object, and before obtaining the processing result of output, further includes:
It is pre-configured with the business rule, and the business rule is stored to described from preset rules database, the business
Comprising the corresponding relationship between the business datum to be entered and the processing result in rule, and for supporting the rule
The parameter of regularity of engine.
8. a kind of data processing equipment of rule-based engine characterized by comprising
Receiving module, for receiving the data acquisition instruction comprising processing target and target data source, from the target data source
Business datum collection is obtained, it includes at least one set of business datum that the business datum, which is concentrated,；
Preprocessing module, for handling all business datums that rule concentrates the business datum according to preset Sql
After being pre-processed, business datum result set is obtained；
Conversion module, for calling distributed computing engine to traverse the business datum result set, and by the business datum knot
Business datum described in each group of fruit concentration is converted into first object；
First determining module, for the determining and matched business rule collection of the processing target, institute from preset rules database
Stating business rule and concentrating includes at least one business rule；
Second determining module, for determining the business rule concentration and institute according to the business datum in first object
State the matched business rule of business datum；
Module is obtained, for basis and the matched business rule selection rule engine of the business datum, and passes through selection
Regulation engine calling first object is handled with the matched business rule of the business datum, and obtain
The processing result of output is taken, the processing result is corresponding with the processing target.
9. a kind of computer equipment, including memory, processor and storage are in the memory and can be in the processor
The computer program of upper operation, which is characterized in that the processor realized when executing the computer program as claim 1 to
The data processing method of rule-based engine described in any one of 7.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In the number of realization rule-based engine as described in any one of claims 1 to 7 when the computer program is executed by processor
According to processing method.
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