CN110580556B - Data processing method and system and processor - Google Patents
Data processing method and system and processor Download PDFInfo
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- CN110580556B CN110580556B CN201810587583.0A CN201810587583A CN110580556B CN 110580556 B CN110580556 B CN 110580556B CN 201810587583 A CN201810587583 A CN 201810587583A CN 110580556 B CN110580556 B CN 110580556B
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Abstract
The application discloses a data processing method and system and a processor. Wherein, this system includes: a data unit for storing data required for executing the rule; the rule processing device is connected with the data unit and is used for acquiring data from the data unit; executing the rule according to the data to obtain a rule decision result corresponding to the rule; the business foreground device is connected with the rule processing device and used for receiving a business processing request, and the business processing request is used for acquiring a result of executing the rule; and obtaining a rule decision result corresponding to the rule from the rule processing device. The method and the device solve the technical problem that rule data are not easy to multiplex.
Description
Technical Field
The present application relates to the field of information security, and in particular, to a data processing method, system, and processor.
Background
With the rapid development of the internet, various internet businesses such as e-commerce, finance, payment and the like need wind control support. At present, most of real-time wind control designs are passive wind control rules based on user behaviors, the wind control rules are generally deployed in wind control rule engines, and the rule engines corresponding to companies and businesses are different. In addition, the wind control rules need strong multiplexing requirements, wherein the multiplexing requirements of the wind control rules are embodied between different links of the same product, or between different products, or even between different companies. For example, the rule a needs to be determined when the client is opened, the rule a also needs to be determined in the post-payment or post-loan link of the client, and when the number of the wind control rules which need to be reused is large, the wind control system is difficult to maintain.
When the wind control rule is multiplexed, the wind control rule needs to be repeatedly developed, for example, as shown in fig. 1, in a client behavior layer, a client generates a query request for querying a decision result of the wind control rule by operating a client; the business foreground wind control layer includes a plurality of foreground rule engines, wherein each foreground rule engine corresponds to one wind control link (for example, foreground rule engine a in fig. 1 corresponds to wind control link 1, foreground rule engine B corresponds to wind control link 2, foreground rule engine C corresponds to wind control link 3), each foreground rule engine includes a plurality of wind control rules, for example, foreground rule engine a includes wind control rules 1, 2, 3, and 4, foreground rule engine B includes wind control rules 1, 2, 3, and 5, and foreground rule engine C includes wind control rules 1, 2, 6, and 7. As can be seen from fig. 1, the wind control rule 1 needs to be repeatedly deployed in 3 wind control links, and when the wind control rules that need to be reused are more and more, the reuse development amount of the wind control rules is also more and more.
In view of the above problem that the rule data is not easily reused, no effective solution has been proposed at present.
Disclosure of Invention
The embodiment of the application provides a data processing method, a system and a processor, which are used for at least solving the technical problem that rule data are not easy to multiplex.
According to an aspect of an embodiment of the present application, there is provided a data processing system including: a data unit for storing data required for executing the rule; the rule processing device is connected with the data unit and is used for acquiring data from the data unit; executing the rule according to the data to obtain a rule decision result corresponding to the rule; the business foreground device is connected with the rule processing device and used for receiving a business processing request, and the business processing request is used for acquiring a result of executing the rule; and obtaining a rule decision result corresponding to the rule from the rule processing device.
According to another aspect of the embodiments of the present application, there is also provided a processor, configured to execute a program, where the program executes to perform the following steps: acquiring data required by a rule; executing the rule according to the data to obtain a rule decision result corresponding to the rule; receiving a query request sent by a business foreground device, wherein the business foreground device generates the query request under the condition that a rule needs to be executed; and sending the rule decision result corresponding to the rule to a service foreground device.
According to another aspect of the embodiments of the present application, there is also provided a data processing method, including: a first program acquires target data of a first conditional judgment statement; executing a first condition judgment statement by a first program, processing the target data to obtain a first result corresponding to the first condition judgment statement, wherein the first result is used for indicating the relation between the target data and the condition defined by the first condition judgment statement; a first program receives a query request sent by a second program, wherein the second program generates the query request under the condition that a first condition judgment statement needs to be executed, and the query request is used for querying a first result corresponding to the first condition judgment statement; the first program sends the first result to the second program.
In the embodiment of the application, the rule is deployed in the rule preprocessing engine, the rule is preprocessed by the rule processing device to obtain the rule decision result, the business foreground device does not need to interact with a bottom data source, rules are not repeatedly configured in all links, and the rule decision result corresponding to the rule is obtained by inquiring from the rule processing device, so that the purpose of reusing the rule and reducing the development amount of rule reuse is achieved, the technical effect of reducing operation and maintenance cost is achieved, and the technical problem that rule data are not easily reused is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic illustration of a repetitive development of a rule according to the prior art;
FIG. 2 is a block diagram of a data processing system according to an embodiment of the present application;
FIG. 3 is a schematic diagram of an alternative data processing system according to an embodiment of the present application;
FIG. 4 is a flow chart of a method of data processing according to an embodiment of the present application;
FIG. 5 is a flow chart of a method of data processing according to an embodiment of the present application;
FIG. 6 is a block diagram of a data processing apparatus according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a service foreground apparatus according to an embodiment of the present application;
FIG. 8 is a block diagram of a hardware configuration of a computer terminal according to an embodiment of the present application; and
fig. 9 is a flowchart of a data processing method according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be implemented in sequences other than those illustrated or described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
First, some terms or terms appearing in the description of the embodiments of the present application are applicable to the following explanations:
wind control, short for risk control, refers to the risk manager eliminating or reducing the possibility of occurrence of a risk event, or the risk controller taking various measures and methods to reduce the loss caused by the occurrence of the risk event.
And the wind control rule refers to specific logic proposed for realizing risk control.
A rules engine, a component embedded in an application, can separate business decisions from application code and write business decisions using predefined semantic modules. In addition, the rules engine may also accept data input, interpret business rules, and make business decisions based on the business rules.
Example 1
According to the embodiment of the present application, an embodiment of a data processing system is provided, and it should be noted that, the data processing system provided by the present application deploys rules in a rule preprocessing engine (i.e., a rule processing device), and after a rule decision result is obtained through preprocessing by the rule processing device, the rule decision result is output to the outside to be provided to each service foreground device, so as to achieve the purposes of reducing the repeated development amount of the rules, testing and verifying costs and error rate of retransmission development, and improving the capability of rule output to the outside.
Specifically, fig. 2 shows a schematic structural diagram of a data processing system, and as can be seen from fig. 2, the data processing system provided in the present application includes: a data unit 205, a rule processing device 201 and a business foreground device 203. The data unit 205 is used for storing data required by executing the rule; rule processing means 201, connected to the data unit 205, for obtaining data from the data unit 205; executing the rule according to the data to obtain a rule decision result corresponding to the rule; the business foreground device 203 is connected with the rule processing device 201 and is used for receiving a business processing request, and the business processing request is used for acquiring a result of executing the rule; the rule decision result corresponding to the rule is obtained from the rule processing device 201.
It should be noted that the rule processing device is a server that preprocesses the rule, and the service foreground device may be a server that obtains a query request of a user for querying a rule decision result, where the rule processing device is connected to the service foreground device in a wired or wireless manner.
Optionally, the rule processing means is configured to perform the following steps to obtain data from the data unit: receiving data sent by a data unit; alternatively, data is listened to and collected from the data units.
Optionally, the rule processing device is configured to execute the following steps according to the data to obtain a rule decision result corresponding to the rule: deploying a full amount of rules; calling data, and running out a rule decision result of each rule; and storing the rule decision result.
It should be noted that, in the data processing system of this embodiment, a rule processing device is added, and the rule processing device preprocesses the rule, but not the source data, that is, if only the source data is preprocessed, only some classified data can be obtained, and the problem that the wind control system is difficult to maintain when the number of the wind control rules to be multiplexed is large cannot be solved. Therefore, the service foreground device does not need to interact with the bottom layer source data, does not need to care about the specific logic of the rule, does not need to repeatedly configure the rule, and only needs to directly inquire the decision result of the required rule from the rule processing device, so that the development amount of rule multiplexing is reduced.
In addition, it should be noted that the data unit in the data processing system, as a data source of the rule processing device, provides the rule processing device with data required by the rule. The data unit may be, but is not limited to, a database cluster, and each database in the database cluster corresponds to one data source in the data unit.
In an alternative arrangement, FIG. 3 depicts a pictorial representation of an alternative data processing system. Specifically, the client sends a query request to the service foreground device through the client, and the service foreground device sends the query request to the rule processing device after receiving the query request. A data receiving unit in the rule processing device obtains data required by the rule from a data source in the data unit according to the query request, the rule preprocessing engine transforms the data required by the rule to obtain the rule, then the rule preprocessing engine processes the rule to obtain a rule decision result, the rule decision result is stored, and interface query is provided. Therefore, the business foreground device can directly obtain the rule decision result from the rule processing device without interacting with a data source at the bottom layer and being influenced by the logic change of the rule, so that when the logic of the rule changes, all the rules do not need to be reused and developed, and the development amount of rule reuse is greatly reduced.
In addition, because the business foreground device is not influenced by the underlying data source and the logic of the rule, when the logic of the rule is modified, only the rule decision result needs to be updated by the rule processing device, the rule does not need to be re-developed, the later maintenance cost of the rule is saved, and the rule multiplexing safety is improved.
Further, after the rule decision result is obtained, the rule processing device may send the rule decision result to the service foreground device according to the query request sent by the service foreground device. Wherein, table 1 is an optional rule decision result. Three foreground rule engine interfaces (namely a foreground rule engine A, a foreground rule engine B and a foreground rule engine C) in the business foreground device obtain respective corresponding rule decision results.
TABLE 1
It should be noted that the rule in this embodiment includes at least one of the following: wind control rules (e.g., financial wind control rules, payment wind control rules), operational rules, product rules. Wherein, in case the rule comprises a wind control rule, the data required by the rule comprises at least one of: high risk list, credit record of client, overdue record of client; where the rule comprises an operation rule, the data required by the rule comprises at least one of: transaction data of the customer, authentication data of the customer; where the rule comprises a product rule, the data required by the rule comprises at least one of: basic qualification of the customer, transaction data of the customer, and website behavior data.
As can be seen from the above, the rule processing device obtains data required by the rule, and preprocesses the rule according to the data to obtain a rule decision result, and the service foreground device connected to the rule processing device obtains the rule decision result corresponding to the rule from the rule processing device.
According to the content, the data processing system provided by the application can achieve the purpose of rule multiplexing, so that the technical effect of reducing the development amount of rule multiplexing is achieved, and the technical problem that rule data are not easy to multiplex is solved.
It should be noted that the rule processing device may obtain the data required by the rule by receiving the data sent by the data unit, or by listening and collecting the data from the data unit.
In an alternative scheme, the data unit sends a data sending request to the rule processing device at preset time intervals, the rule processing device sends acknowledgement information to the data unit after receiving the data sending request, and the data unit sends data required by the rule to the rule processing device after receiving the acknowledgement information.
In another alternative scheme, after receiving the query request sent by the service foreground device, the rule processing device sends a data request for acquiring data to the data unit. The data unit sends data required by the rule to the rule processing device after receiving the data request.
There is also an alternative scheme that the rule processing means detects in real time whether the data in the data unit has changed, and if the data in the data unit has changed, acquires all the data in the data unit, or acquires only the data in the data unit that has changed.
It should be noted that after the data required by the rule is obtained, the rule is processed to obtain a rule decision result, and the rule decision result is stored. After that, the business foreground device obtains the rule decision result corresponding to the rule from the rule processing device. Specifically, the service foreground device sends the query request to the rule processing device and receives a rule decision result corresponding to the rule returned by the rule processing device, where the query request is used to instruct to obtain the rule decision result corresponding to the rule.
In an optional scheme, after receiving the query request sent by the service foreground device, the rule processing device obtains data required by the rule from the data unit, and after processing the data by the rule processing device to obtain a rule decision result, the rule processing device sends the rule decision result to the service foreground device.
In another alternative scheme, before the rule processing device receives the query request sent by the service foreground device, the rule processing device receives the data sent by the data unit in real time, processes the received data, obtains a rule decision result, and stores the rule decision result. After the rule processing device receives the query request sent by the business foreground device, the rule processing device queries the rule decision result corresponding to the query request from the stored rule decision results and sends the rule decision result to the business foreground device.
It should be noted that the rule processing apparatus is further configured to receive a rule modification instruction, and update the rule decision result according to the rule modification instruction, where the rule modification instruction is used to indicate a modification rule.
In an alternative scheme, as the business develops, the logic "a >0" corresponding to the rule 1 in fig. 3 needs to be modified to "a >2", at this time, after receiving the rule modification instruction, the rule processing device modifies the logic "a >0" in the rule 1 to "a >2", generates a new rule decision result, and updates the rule decision result already stored in the rule processing device.
In an alternative, the rule processing means determines the rule to be modified after receiving the rule modification instruction. After obtaining a new rule decision result according to the modified rule, the rule processing device updates the rule decision result corresponding to the modified rule, while the rule decision result corresponding to the unmodified rule is not updated. For example, if the logic "a >0" corresponding to rule 1 needs to be modified to "a >2", after the rule 1 is modified, only the rule decision result including rule 1 is updated, and the rule decision result not including rule 1 is not updated.
In another optional scheme, after receiving the rule modification instruction, the rule processing apparatus modifies the corresponding rule, and then updates all the rule decision results according to the modified rule. For example, if it is necessary to modify the logic "a >0" corresponding to rule 1 to "a >2", the rule processing apparatus updates all the rule decision results after modifying rule 1, and also updates the rule decision results that do not include rule 1.
In this embodiment, the multiplexing benefit of the rule can be calculated by the following formula:
in the above formula, R a For the number of rules after deduplication, R i The number of the rules in the ith link is n, and the number of the links needing rule multiplexing is n. For example, in fig. 3, there are 3 links with a rule of multiplexing, i.e., n =3, and the number of rules per link is 100, i.e., R i =100, number of rules after deduplication 125, i.e. R a =125, the multiplexing yield S =58%, that is, the data processing system provided by the present application can reduce 58% of the rule development amount, so that the multiplexing yield of the rule of the data processing system provided by the present application is considerable.
In addition, the data processing system provided by the application can also realize cross-platform rule multiplexing, deploy the rules in the rule processing device, and output the rule decision results to the outside for being inquired by each business foreground device, thereby reducing the repeated development amount of the rules, the corresponding test verification cost and the risk of development errors, and simultaneously improving the output of the external capability of the rules.
Example 2
There is also provided, in accordance with an embodiment of the present application, a data processing method embodiment, it should be noted that the steps illustrated in the flowcharts of the figures may be executed in a computer system, such as a set of computer executable instructions, and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be executed in an order different than that shown herein.
Specifically, the present application provides a data processing method as shown in fig. 4, where fig. 4 shows a flowchart of the data processing method. As can be seen from fig. 4, the data processing method includes the following steps:
in step S402, data required by the rule is acquired.
In the above step S402, the rule may include at least one of the following: wind control rules, operation rules, product rules. And the data required to obtain the rules may include: data sent by the data unit is received, or data is listened to and collected from the data unit to obtain data required by the rule. Specifically, in the case where the rules include a wind control rule, the data includes at least one of: high risk list, credit record of client, overdue record of client; where the rule comprises an operational rule, the data comprises at least one of: transaction data of the customer, authentication data of the customer; where the rule comprises a product rule, the data comprises at least one of: basic qualification of the customer, transaction data of the customer, and website behavior data.
In an alternative, the rule processing means obtains the data required by the rule by receiving the data sent by the data unit. Specifically, after receiving the query request sent by the service foreground device, the rule processing device sends a data request for acquiring data to the data unit. The data unit sends data required by the rule to the rule processing device after receiving the data request, and the rule processing device receives the data sent by the data processing unit.
In another alternative, the rule processing means obtains the data required by the rule by receiving the data sent by the data unit. Specifically, the data unit detects whether data in the data source changes in real time, and if it is detected that data changes, the data unit sends the data in the data source to the rule processing device, or sends the changed data to the rule processing device.
There is also an alternative where the rule processing means collects data from the data units by listening. Specifically, the rule processing device detects whether the data in the data unit changes in real time, and if the data in the data unit changes, all the data in the data unit is acquired, or only the data in the data unit which changes is acquired.
There is also an alternative where the rule processing means collects data from the data units by listening. Specifically, the data unit detects whether data in the data source changes in real time, and if it is detected that data changes, the data unit sends a message of data change to the rule processing device. And after the rule processing device receives the data change message and determines that the data in the data unit is changed, the rule processing device acquires all the data in the data unit or only acquires the changed data in the data unit.
In this embodiment, the main body of the data processing method may be a rule processing device, and the processing device may receive a change depending on data (or periodically pull the full amount of data), where the data is stored in a data unit.
The rule processing device is a server that processes data required by the rule. The data unit can be used as a data source of the rule processing device and provides data required by the rule for the rule processing device. The data unit may be, but is not limited to, a database cluster, and each database in the database cluster corresponds to one data source in the data unit.
In an optional scheme, the rule processing device receives an inquiry request sent by the service foreground device, and acquires data required by the rule from a data source of the data unit according to the inquiry request. The service foreground device can be a server for obtaining a query request of a user query rule decision result, and the rule processing device is in wired or wireless connection with the service foreground device. Therefore, the business foreground device can directly obtain the rule decision result from the rule processing device without interacting with a data source at the bottom layer and being influenced by the logic change of the rule, so that when the logic of the rule changes, all the rules do not need to be reused and developed, and the development amount of rule reuse is greatly reduced.
It is easy to note that, because the business foreground device is not affected by the underlying data source and the logic of the rule, when the logic of the rule is modified, only the rule decision result needs to be updated by the rule processing device, and the rule does not need to be redeveloped, so that the later maintenance cost of the rule is saved, and the safety of rule reuse is improved.
Step S404, preprocessing the rule according to the data to obtain a rule decision result.
Optionally, executing the rule according to the data, and obtaining a rule decision result corresponding to the rule includes: deploying a full amount of rules; calling data, and running out a rule decision result of each rule; and storing the rule decision result.
In an optional scheme, after obtaining data required by the rule, the rule processing device transforms the data required by the rule to obtain the rule, then processes the rule to obtain a rule decision result, stores the rule decision result, and provides an interface so that the business foreground device can query the rule decision result.
Step S406, outputting a rule decision result under the condition that the query request is received.
In an optional scheme, the rule processing device receives the sent data in real time before receiving the query request sent by the service foreground device, processes the received data to obtain a rule decision result, and stores the rule decision result. After the rule processing device receives the query request sent by the business foreground device, the rule processing device queries the rule decision result corresponding to the query request from the stored rule decision results and sends the rule decision result to the business foreground device.
In another optional scheme, after the rule processing device receives the query request sent by the service foreground device, the rule processing device obtains the data required by the rule from the data unit, and after the rule processing device processes the data to obtain the rule decision result, the rule processing device sends the rule decision result to the service foreground device.
Based on the solutions defined in the foregoing steps S402 to S406, it can be known that, by acquiring data required by the rule, and then preprocessing the rule according to the data, a rule decision result is obtained, and in a case where the query request is received, the rule decision result is output.
According to the data processing method, the purpose of rule multiplexing can be achieved, the technical effect of reducing the development amount of rule multiplexing is achieved, and the technical problem that rule data are not easy to multiplex is solved.
It should be noted that the rule processing apparatus may receive a rule modification instruction, and update the rule decision result according to the rule modification instruction, where the rule modification instruction is used to indicate a modification rule.
In an alternative scheme, a client may initiate a rule modification instruction through a client, and after receiving the rule modification instruction, the rule processing device determines a rule to be modified according to the rule modification instruction, modifies the rule, and obtains a new decision result according to the modified rule. After obtaining the new rule decision result, the rule processing device updates the rule decision result corresponding to the modified rule, while the rule decision result corresponding to the unmodified rule is not updated. For example, if it is required to modify logic "a >0" corresponding to rule 1 to "a >2", after rule 1 is modified, only the rule decision result including rule 1 is updated, and the rule decision result not including rule 1 is not updated, for example, links 1, 2, and 3 include rule 1, and link 4 does not include rule 1, only the rule decision result in links 1, 2, and 3 is updated, and the rule decision result in link 4 is not updated.
In another optional scheme, after receiving the rule modification instruction, the rule processing apparatus modifies the corresponding rule according to the rule modification instruction, and then updates all the rule decision results according to the modified rule. For example, if the logic "a >0" corresponding to rule 1 needs to be modified to "a >2", after rule 1 is modified, the rule processing device updates all rule decision results, where the rule decision results that do not include rule 1 are also updated, for example, if links 1, 2, and 3 include rule 1, and link 4 does not include rule 1, the rule decision results in links 1, 2, 3, and 4 are updated.
As can be seen from the above, when a rule needs to be modified, only the rule needs to be modified, and the rule decision result needs to be updated, without modifying the rule in each link. Therefore, the data processing method provided by the application can reduce the development amount of rule multiplexing, reduce the error rate of a rule development link and improve the accuracy of data in the rule multiplexing process.
It should be noted that for simplicity of description, the above-mentioned embodiments of the method are described as a series of acts, but those skilled in the art should understand that the present application is not limited by the described order of acts, as some steps may be performed in other orders or simultaneously according to the present application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
Through the above description of the embodiments, those skilled in the art can clearly understand that the data processing method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present application.
Example 3
According to an embodiment of the present application, an embodiment of a data processing method is also provided, where fig. 5 shows a flowchart of the data processing method. As can be seen from fig. 5, the data processing method includes the following steps:
step S502, receiving a service processing request.
In step S502, the main body of the data processing method may be a service foreground device, where the service foreground device may receive a service processing request sent by a client through a client, and may obtain a rule decision result corresponding to the service processing request from a rule processing device.
It should be noted that the service processing request may be, but is not limited to, a query request for a rule decision result of a service, the service foreground device may be a server that obtains a query request for a rule decision result queried by a user, the rule processing device is a server that processes data required by a rule, and the rule processing device is connected to the service foreground device in a wired or wireless manner.
Step S504, a rule decision result corresponding to the rule indicated by the service processing request is obtained from the rule processing apparatus.
In an alternative scheme, after receiving the service processing request, the service foreground device sends the service processing request to the rule processing device. After receiving the service processing request, the rule processing device generates a rule decision result corresponding to the service processing request, and sends the rule decision result to the service foreground device through the query interface. Before outputting the rule decision result, the rule processing device receives data sent by the data unit, or monitors and collects data from the data unit, then preprocesses the rule according to the data to obtain the rule decision result, and stores the rule decision result.
Therefore, the business foreground device can directly obtain the rule decision result from the rule processing device without interacting with a data source at the bottom layer and being influenced by the logic change of the rule, so that when the logic of the rule changes, all the rules do not need to be reused and developed, and the development amount of rule reuse is greatly reduced.
It is easy to note that, because the business foreground device is not affected by the underlying data source and the logic of the rule, when the logic of the rule is modified, only the rule decision result needs to be updated by the rule processing device, and the rule does not need to be redeveloped, so that the later maintenance cost of the rule is saved, and the safety of rule reuse is improved.
Based on the schemes defined in steps S502 to S504, it can be known that, by receiving the service processing request, the rule decision result corresponding to the rule indicated by the service processing request is obtained from the rule processing device.
From the above, the data processing method provided by the application can achieve the purpose of rule multiplexing, thereby achieving the technical effect of reducing the development amount of rule multiplexing, and further solving the technical problem that rule data is not easy to multiplex.
It should be noted that, after the data required by the rule is obtained, the processing rule processes the data to obtain a rule decision result, and stores the rule decision result. After that, the business foreground device obtains the rule decision result corresponding to the rule from the rule processing device. Specifically, the service foreground device sends the query request to the rule processing device and receives a rule decision result corresponding to the rule returned by the rule processing device, where the query request is used to instruct to obtain the rule decision result corresponding to the rule.
It should be noted that the rule processing apparatus may further receive a rule modification instruction, and update the rule decision result according to the rule modification instruction, where the rule modification instruction is used to indicate a modification rule. Specifically, the rule processing device determines the rule to be modified and modifies the rule after receiving the rule modification instruction. And then, obtaining a new rule decision result according to the modified rule, and updating the stored rule decision result by using the new rule decision result. The rule processing apparatus updates the rule decision result according to the rule modification instruction, which may include but is not limited to updating all the decision results and updating only the changed decision results.
Example 4
According to an embodiment of the present application, there is also provided a data processing apparatus for implementing the above embodiment 2, as shown in fig. 6, the apparatus including: a data receiving module 601, a rule preprocessing engine 603, and a data storage module 605.
The data receiving module 601 is configured to obtain data required by the rule; a rule preprocessing engine 603, configured to preprocess a rule according to data to obtain a rule decision result; and a data storage module 605, configured to output a rule decision result when the query request is received.
It should be noted that the rule includes at least one of the following: wind control rules, operation rules, product rules. Wherein, in the event that the rules include a wind control rule, the data includes at least one of: high risk list, credit record of client, overdue record of client; where the rule comprises an operational rule, the data comprises at least one of: transaction data of the client, authentication data of the client; where the rule comprises a product rule, the data comprises at least one of: basic qualifications of the customer, transaction data of the customer, and website behavior data.
Here, it should be further noted that the data receiving module 601, the rule preprocessing engine 603, and the data storage module 605 correspond to steps S402 to S406 in embodiment 2, and the three modules are the same as the corresponding steps in the implementation example and application scenario, but are not limited to the disclosure in embodiment 2.
Optionally, the data receiving module includes: the device comprises a first receiving module and a data collecting module. The first receiving module is used for receiving data sent by the data unit; or, the data collection module is used for monitoring and collecting data from the data unit.
Optionally, the data processing apparatus further includes: a second receiving module and an updating module. The second receiving module is used for receiving a rule modification instruction, and the rule modification instruction is used for indicating a modification rule; and the updating module is used for updating the rule decision result according to the rule modification instruction.
Example 5
According to an embodiment of the present application, there is further provided a service foreground apparatus for implementing the foregoing embodiment 3, as shown in fig. 7, the apparatus includes: a receiving module 701 and an obtaining module 703.
The receiving module 701 is configured to receive a service processing request; the obtaining module 703 is configured to obtain, from the rule processing apparatus, a rule decision result corresponding to the rule indicated by the service processing request.
It should be noted that the rule includes at least one of the following: rules, operation rules, product rules. Wherein, in case the rule comprises a rule, the data required by the rule comprises at least one of: high risk list, credit record of client, overdue record of client; in the case where the rule comprises an operational rule, the data required by the rule comprises at least one of: transaction data of the client, authentication data of the client; where the rule comprises a product rule, the data required by the rule comprises at least one of: basic qualifications of the customer, transaction data of the customer, and website behavior data.
Here, it should be noted that the receiving module 701 and the obtaining module 703 correspond to steps S502 to S504 in embodiment 3, and the two modules are the same as the corresponding steps in the implementation example and application scenario, but are not limited to the disclosure in embodiment 3.
Optionally, the obtaining module includes: the device comprises a query module and a processing module. The query module is used for sending a query request to the rule processing device, wherein the query request is used for indicating to obtain a rule decision result corresponding to the rule; and the processing module is used for receiving the rule decision result returned by the rule processing device.
Example 6
The embodiment of the application can provide a computer terminal, and the computer terminal can be any one computer terminal device in a computer terminal group. Optionally, in this embodiment, the computer terminal may also be replaced with a terminal device such as a mobile terminal.
Optionally, in this embodiment, the computer terminal may be located in at least one network device of a plurality of network devices of a computer network.
Fig. 8 shows a block diagram of a hardware configuration of a computer terminal. As shown in fig. 8, computer terminal a may include one or more (shown here as 802a, 802b, \ 8230; \8230;, 802 n) processors 802 (processor 802 may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA, etc.), a memory 804 for storing data, and a transmission device 806 for communication functions. Besides, the method can also comprise the following steps: a display, an input/output interface (I/O interface), a Universal Serial Bus (USB) port (which may be included as one of the ports of the I/O interface), a network interface, a power source, and/or a camera. It will be understood by those skilled in the art that the structure shown in fig. 8 is only an illustration and is not intended to limit the structure of the electronic device. For example, computer terminal A may also include more or fewer components than shown in FIG. 8, or have a different configuration than shown in FIG. 8.
It should be noted that the one or more processors 802 and/or other data processing circuitry described above may be referred to generally herein as "data processing circuitry". The data processing circuitry may be embodied in whole or in part in software, hardware, firmware, or any combination thereof. Furthermore, the data processing circuit may be a single stand-alone processing module, or incorporated in whole or in part into any of the other elements in the computer terminal a. As referred to in the embodiments of the application, the data processing circuit acts as a processor control (e.g. selection of variable resistance termination paths connected to the interface).
The processor 802 may invoke the memory-stored information and applications via the transmission device to perform the following steps: acquiring data required by a rule; preprocessing the rule according to the data to obtain a rule decision result; and outputting a rule decision result under the condition of receiving the query request.
The memory 804 can be used for storing software programs and modules of application software, such as program instructions/data units corresponding to the data processing method in the embodiment of the present application, and the processor 802 executes various functional applications and data processing by running the software programs and modules stored in the memory 804, that is, implementing the data processing method described above. The memory 804 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 804 can further include memory located remotely from the processor 802, which can be connected to the computer terminal a via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission means 806 is used for receiving or sending data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the computer terminal a. In one example, the transmission device 806 includes a Network Interface Controller (NIC) that can be connected to other Network devices through a base station to communicate with the internet. In one example, the transmission device 806 can be a Radio Frequency (RF) module, which is used to communicate with the internet via wireless.
The display may be, for example, a touch screen type Liquid Crystal Display (LCD) that may enable a user to interact with the user interface of the computer terminal a.
It should be noted that in some alternative embodiments, the computer terminal a shown in fig. 8 may include hardware elements (including circuitry), software elements (including computer code stored on a computer-readable medium), or a combination of both hardware and software elements. It should be noted that fig. 8 is only one example of a specific example and is intended to illustrate the types of components that may be present in the computer terminal a described above.
In this embodiment, the computer terminal a may execute program codes of the following steps in the data processing method of the application program: acquiring data required by a rule; preprocessing the rule according to the data to obtain a rule decision result; under the condition that a query request is received, a rule decision result is output, wherein the rule comprises at least one of the following: wind control rules (e.g., financial wind control rules, payment wind control rules), operational rules, product rules. Wherein, in case the rule comprises a wind control rule, the data required by the rule comprises at least one of: high risk list, credit record of client, overdue record of client; where the rule comprises an operation rule, the data required by the rule comprises at least one of: transaction data of the customer, authentication data of the customer; where the rule comprises a product rule, the data required by the rule comprises at least one of: basic qualification of the customer, transaction data of the customer, and website behavior data.
The processor can call the information and application program stored in the memory through the transmission device to execute the following steps: acquiring data required by the rule; executing the rule according to the data to obtain a rule decision result corresponding to the rule; receiving a query request sent by a business foreground device, wherein the business foreground device generates the query request under the condition that a rule needs to be executed; and sending the rule decision result corresponding to the rule to a service foreground device.
Optionally, the processor may further execute the program code of the following steps: receiving data sent by a data unit; alternatively, data is listened to and collected from the data units.
Optionally, the processor may further execute the program code of the following steps: receiving a rule modification instruction, wherein the rule modification instruction is used for indicating a modification rule; and updating the rule decision result according to the rule modification instruction.
Optionally, the processor may further execute the program code of the following steps: receiving a service processing request; and obtaining a rule decision result corresponding to the rule indicated by the service processing request from the rule processing device.
Optionally, the processor may further execute the program code of the following steps: sending a query request to a rule processing device, wherein the query request is used for indicating to obtain a rule decision result corresponding to a rule; and receiving a rule decision result returned by the rule processing device.
It can be understood by those skilled in the art that the structure shown in fig. 8 is only an illustration, and the computer terminal may also be a terminal device such as a smart phone (e.g., an Android phone, an iOS phone, etc.), a tablet computer, a palmtop computer, a Mobile Internet Device (MID), a PAD, and the like. Fig. 8 is a diagram illustrating the structure of the electronic device. For example, computer terminal A may also include more or fewer components (e.g., network interfaces, display devices, etc.) than shown in FIG. 8, or have a different configuration than shown in FIG. 8.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disks, read-Only memories (ROMs), random Access Memories (RAMs), magnetic or optical disks, and the like.
Example 7
Embodiments of the present application also provide a storage medium. Alternatively, in this embodiment, the storage medium may be configured to store program codes executed by the data processing methods provided in embodiments 2 and 3.
Optionally, in this embodiment, the storage medium may be located in any one of computer terminals in a computer terminal group in a computer network, or in any one of mobile terminals in a mobile terminal group.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: acquiring data required by a rule; executing the rule according to the data to obtain a rule decision result corresponding to the rule; receiving a query request sent by a business foreground device, wherein the business foreground device generates the query request under the condition that a rule needs to be executed; and sending a rule decision result corresponding to the rule to a service foreground device. Wherein the rules include at least one of: wind control rules (e.g., financial wind control rules, payment wind control rules), operational rules, product rules. Wherein, in case the rule comprises a wind control rule, the data required by the rule comprises at least one of: high risk list, credit record of client, overdue record of client; in the case where the rule comprises an operational rule, the data required by the rule comprises at least one of: transaction data of the customer, authentication data of the customer; where the rule comprises a product rule, the data required by the rule comprises at least one of: basic qualification of the customer, transaction data of the customer, and website behavior data.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: receiving data sent by a data unit; alternatively, data is listened to and collected from the data units.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: receiving a rule modification instruction, wherein the rule modification instruction is used for indicating a modification rule; and updating the rule decision result according to the rule modification instruction.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: receiving a service processing request; and obtaining a rule decision result corresponding to the rule indicated by the service processing request from the rule processing device.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: sending a query request to a rule processing device, wherein the query request is used for indicating to obtain a rule decision result corresponding to a rule; and receiving a rule decision result returned by the rule processing device.
Example 8
The embodiment of the application also provides a data processing system. Wherein, this system includes: a processor and a memory.
Specifically, the memory is connected to the processor and is configured to provide the processor with instructions for processing the following processing steps: acquiring data required by a rule; executing the rule according to the data to obtain a rule decision result corresponding to the rule; receiving a query request sent by a business foreground device, wherein the business foreground device generates the query request under the condition that a rule needs to be executed; and sending the rule decision result corresponding to the rule to a service foreground device. Wherein the rules include at least one of: wind control rules, operation rules, product rules. Wherein, in the case that the rules include a wind control rule, the data includes at least one of: high risk list, credit record of client, overdue record of client; where the rule comprises an operational rule, the data comprises at least one of: transaction data of the customer, authentication data of the customer; where the rule comprises a product rule, the data comprises at least one of: basic qualification of the customer, transaction data of the customer, and website behavior data.
Optionally, the processor is further configured to receive data sent by the data unit; alternatively, data is listened to and collected from the data units.
Optionally, the processor is further configured to receive a rule modification instruction, the rule modification instruction being configured to instruct to modify the rule; and updating the rule decision result according to the rule modification instruction.
Example 9
According to an embodiment of the present application, there is also provided an embodiment of a data processing method, where fig. 9 shows a flowchart of the data processing method. As can be seen from fig. 9, the data processing method includes the following steps:
in step S902, the first program acquires target data of the first conditional judgment statement.
Step S904, the first program executes the first condition judgment statement, and processes the target data to obtain a first result corresponding to the first condition judgment statement.
Wherein the first result is used for indicating the relation between the target data and the condition defined by the first condition judgment statement.
In an alternative, the first conditional statement includes: if (A Condition) conforms to A Condition execution statement; else execute the statement without conforming to the A condition; or if (A Condition) conforms to A Condition execution statement; else if (B-Condition) conforms to the B-Condition execution statement.
In step S906, the first program receives the query request sent by the second program.
The second program generates a query request under the condition that the first conditional judgment statement needs to be executed, wherein the query request is used for querying a first result corresponding to the first conditional judgment statement
In step S908, the first program sends the first result to the second program.
Based on the schemes defined in steps S902 to S908, it can be known that the first program executes the first conditional judgment statement by acquiring target data of the first conditional judgment statement, processes the target data to obtain a first result corresponding to the first conditional judgment statement, and sends the first result to the second program when receiving a query request sent by the second program. Therefore, under the condition that the first condition judgment statement needs to be executed, the second program only needs to generate the query request and obtain the result from the first program, and the purpose of rule multiplexing is achieved, so that the technical effect of reducing the multiplexing development amount of the wind control rule is achieved, and the technical problem that rule data are not easy to multiplex is solved.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed coupling or direct coupling or communication connection between each other may be an indirect coupling or communication connection through some interfaces, units or modules, and may be electrical or in other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present application and it should be noted that, as will be apparent to those skilled in the art, numerous modifications and adaptations can be made without departing from the principles of the present application and such modifications and adaptations are intended to be considered within the scope of the present application.
Claims (10)
1. A data processing system, comprising:
a data unit for storing data required for executing the rule;
the rule processing device is connected with the data unit and is used for acquiring the data from the data unit; executing the rule according to the data to obtain a rule decision result corresponding to the rule, wherein the rule decision result comprises: a result meeting the rules or a result not meeting the rules;
the business foreground device is connected with the rule processing device and used for receiving a business processing request, and the business processing request is used for acquiring a result of executing the rule; and obtaining the rule decision result corresponding to the rule from the rule processing device.
2. The system of claim 1, wherein the rule processing means is configured to obtain the data from the data unit by performing the following steps:
receiving the data sent by the data unit; alternatively, the first and second electrodes may be,
listening and collecting said data from said data units.
3. The system of claim 1, wherein the rule processing device is configured to execute the rule according to the data to obtain a rule decision result corresponding to the rule:
deploying a full amount of the rules;
calling the data and running out a rule decision result of each rule;
and storing the rule decision result.
4. The system according to claim 1, wherein the service foreground apparatus is configured to perform the following steps to obtain a rule decision result corresponding to the rule from the rule processing apparatus:
sending a query request to the rule processing device, wherein the query request is used for indicating to obtain the rule decision result corresponding to the rule;
and receiving the rule decision result corresponding to the rule returned by the rule processing device.
5. The system of claim 1, wherein the rule processing apparatus is further configured to receive a rule modification instruction, the rule modification instruction being configured to instruct to modify the rule; and updating the rule decision result according to the rule modification instruction.
6. The system of claim 1, wherein the rules comprise at least one of: wind control rules, operation rules, product rules.
7. The system of claim 6,
in the case where the rule comprises the wind control rule, the data comprises at least one of: high risk list, credit record of client, overdue record of client;
in the case where the rule comprises the operational rule, the data comprises at least one of: transaction data of the customer, authentication data of the customer;
in the case where the rule comprises the product rule, the data comprises at least one of: basic qualification of the customer, transaction data of the customer, and website behavior data.
8. A processor, wherein the processor is configured to run a program, wherein the program when executed performs the steps of: acquiring data required by a rule; executing the rule according to the data to obtain a rule decision result corresponding to the rule, wherein the rule decision result comprises: a result meeting the rules or a result not meeting the rules; receiving a query request sent by a service foreground device, wherein the query request is generated by the service foreground device under the condition that the rule needs to be executed; and sending the rule decision result corresponding to the rule to the service foreground device.
9. A data processing method, comprising:
a first program acquires target data of a first condition judgment statement, wherein the first condition judgment statement is a rule;
the first program executes the first condition judgment statement, processes the target data, and obtains a first result corresponding to the first condition judgment statement, wherein the first result is a rule decision result corresponding to the rule obtained by executing the first condition judgment statement, and the rule decision result includes: a result that meets the rules or a result that does not meet the rules;
the first program receives a query request sent by a second program, wherein the second program generates the query request under the condition that the first condition judgment statement needs to be executed, and the query request is used for querying a first result corresponding to the first condition judgment statement;
the first program sends the first result to the second program.
10. The method of claim 9, wherein the first conditional statement comprises:
if (A Condition) conforms to A Condition execution statement; else execute the statement without conforming to the A condition; or
if (A Condition) conforms to A Condition execution statement; the elseif (B-conditional) conforms to the B-conditional execute statement.
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