CN112181477A - Complex event processing method and device and terminal equipment - Google Patents
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Abstract
The application discloses a complex event processing method, a complex event processing device and terminal equipment, wherein the method comprises the following steps: acquiring a plurality of event data selected by a user terminal from a server according to a selected data source; the data source is selected according to a configuration instruction received by the user terminal; generating a plurality of complex events from the plurality of event data to create a plurality of CEP operators from the plurality of complex events; and when a decision request is received, acquiring a rule data packet configured by a user terminal, matching a plurality of rule data in the rule data packet with a plurality of CEP operators one by one to form a plurality of decision tasks based on the matching relation, and then executing the plurality of decision tasks according to the decision request to generate a decision result.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a complex event processing method and apparatus, and a terminal device.
Background
At present, in an IT business system, monitoring and decision control of business are better realized usually by a complex event processing mode. However, because the existing complex event needs to be described by directly writing the corresponding code, if the complex event needs to be modified in the application process, such as adding an event, deleting an event, or modifying the time sequence relationship of an event, the corresponding code often needs to be modified in a large amount to regenerate the complex event, which brings a large amount of labor cost and time cost and affects the processing efficiency of the complex event.
Disclosure of Invention
The technical problem to be solved by the embodiment of the application is how to improve the processing efficiency of the business complex event.
In order to solve the above problem, an embodiment of the present application provides a complex event processing method, which at least includes the following steps:
acquiring a plurality of event data pulled from a server by a user terminal according to a selected data source; the data source is selected according to a configuration instruction received by a user terminal;
generating a plurality of complex events from the plurality of event data to create a plurality of CEP operators from the plurality of complex events;
when a decision request is received, a rule data packet configured by the user terminal is obtained, a plurality of rule data in the rule data packet are matched with the plurality of CEP operators one by one, a plurality of decision tasks are formed based on a matching relation, and then the decision tasks are executed according to the decision request to generate a decision result.
Further, generating a plurality of complex events from the plurality of event data includes:
generating a plurality of complex events according to the plurality of event data and the configuration information of the plurality of event data received from the user terminal; wherein the configuration information includes a timing configuration between the event data.
Further, the performing the plurality of decision tasks includes:
the plurality of decision tasks are performed in parallel.
Further, the executing the plurality of decision tasks according to the decision request to generate a decision result includes:
executing the decision tasks according to the decision request, and acquiring a plurality of decision information corresponding to the decision tasks one by one;
according to the preset weight of each decision task, selecting the decision information corresponding to the decision task with the largest weight value in each preset weight to generate a decision result; or the like, or, alternatively,
and weighting the decision information according to the preset weight of each decision task to generate a decision result.
Further, the creating a plurality of CEP operators from the plurality of complex events comprises:
receiving a plurality of DSL segments generated by a DSL generator according to the plurality of complex events, and analyzing the DSL segments by a DSL resolver so as to create a plurality of CEP operators according to the DSL segments.
Further, the matching the plurality of rule data in the rule data packet with the plurality of CEP operators one by one to form a plurality of decision tasks based on matching relationships includes:
analyzing the plurality of rule data through an expression engine to obtain a plurality of rule expressions which correspond to the plurality of rule data one by one;
and matching the plurality of regular expressions with preset regular expressions of the plurality of CEP operators, determining the matching relation between the plurality of CEP operators and the plurality of regular data, and forming a plurality of decision tasks according to the matching relation.
Further, the performing the plurality of decision tasks includes:
and executing the decision tasks according to the cycle number set by each decision task in the decision tasks and the time windows set by the CEP operators in the decision tasks.
Further, a complex event processing device is also provided, which includes:
the data selection module is used for acquiring a plurality of event data pulled from the server by the user terminal according to the selected data source; the data source is selected according to a configuration instruction received by a user terminal;
an operator creation module for generating a plurality of complex events from the plurality of event data to create a plurality of CEP operators from the plurality of complex events;
and the event processing module is used for acquiring a rule data packet configured by the user terminal when a decision request is received, matching a plurality of rule data in the rule data packet with the plurality of CEP operators one by one to form a plurality of decision tasks based on a matching relation, and then executing the plurality of decision tasks according to the decision request to generate a decision result.
Further, the complex event processing module is specifically configured to:
analyzing the plurality of rule data through an expression engine to obtain a plurality of rule expressions which correspond to the plurality of rule data one by one;
and matching the plurality of regular expressions with preset regular expressions of the plurality of CEP operators, determining the matching relation between the plurality of CEP operators and the plurality of regular data, and forming a plurality of decision tasks according to the matching relation.
Further, a terminal device is provided, which includes a memory and a processor, the memory stores a computer program, and the computer program, when executed by the processor, causes the processor to execute the steps of the complex event processing method according to the above embodiment.
Compared with the prior art, the method has the advantages that the data source of the event is set, the event data corresponding to the data source is directly pulled from the server to form the complex event when a plurality of complex events are formed, the decision task is formed in a mode of being matched with the rule data to respond to the decision request when the complex events are processed, hard coding is not needed to be carried out on the complex event processing, programming work in the complex event processing process can be reduced, dynamic updating of the complex events is achieved under the condition that relevant codes are not modified as much as possible, on-line service is not needed to be interrupted, coding and modifying cost existing in the complex event processing process is reduced, and complex event processing efficiency is effectively improved.
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FIG. 1 is a schematic diagram of an exemplary system architecture for a complex event processing method according to an embodiment;
FIG. 2 is a flowchart illustrating a complex event processing method according to an embodiment;
FIG. 3 is a flow chart illustrating a matching method according to an embodiment;
FIG. 4 is a schematic structural diagram of a complex event processing apparatus according to an embodiment;
fig. 5 is a schematic structural diagram of a terminal device according to an embodiment.
Detailed Description
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 a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The existing complex event processing mode is that after the relevant codes of the business rules are compiled, the codes are compiled into a new decision engine Jar packet, then the new decision engine Jar packet is uploaded to Flink to replace the old decision engine Jar packet, the decision engine is restarted, and the decision engine executes decision judgment according to the corresponding business rules. However, in the existing business rules, the rules are described by directly writing corresponding codes, so that in the application process, if a change request based on a user decision is generated, the codes of the business rules are often required to be modified in a large amount to regenerate the rules, which brings a large amount of labor cost and time cost and affects the publishing efficiency, and the related codes of the business rules published to the decision engine are required to be modified, so that the online business needs to be interrupted, which results in low decision efficiency of the whole business system.
To solve the above problem, as shown in fig. 1, it is a schematic diagram of an exemplary system architecture of a complex event processing method according to an embodiment. The system architecture may include a first terminal 110, a second terminal 120, a decision engine 130, and a server 140. The decision engine 130 is communicatively connected to the first terminal 110, the second terminal 120 and the server 140, so that the decision engine 120 can send information to the first terminal 110, the second terminal 120 and the server 140 or receive information sent by the first terminal 110, the second terminal 120 and the server 140, and the first terminal 110 is communicatively connected to the server 140, so that the first terminal 110 can send information to the server 140 or receive information sent by the server 140. The communication connections may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few. The first terminal 110 and/or the second terminal 120 may be a desktop terminal or a mobile terminal, and the mobile terminal may be at least one of a mobile phone, a tablet computer, a notebook computer, and the like. The server 140 may be a stand-alone server or a server cluster composed of a plurality of servers. After the first terminal 110 selects a data source on the user interface through a configuration instruction of a user, corresponding event data are selected from the server 140 according to the data source, the server 140 calls a flink submission task interface by using the event data as a request parameter, and the decision engine 130 is started, so that a plurality of complex events are generated on the decision engine 130 according to the event data to create a plurality of CEP operators, and when a decision request sent by the second terminal 120 is received, a plurality of decision tasks are formed by matching a rule data packet obtained from the first terminal 110 with the complex events, so as to execute the decision tasks according to the decision request sent by the second terminal 120.
Compared with the prior art, the method has the advantages that the data source of the event is set, the event data corresponding to the data source is directly pulled from the server to form the complex event when a plurality of complex events are formed, the decision task is formed in a mode of being matched with the rule data to respond to the decision request when the complex events are processed, hard coding is not needed to be carried out on the complex event processing, programming work in the complex event processing process can be reduced, dynamic updating of the complex events is achieved under the condition that related codes are not modified as much as possible, only a work task submitting interface of flink is needed to be called when the complex events are generated, the decision engine is rapidly updated, online service is not needed when the service concurrency is small, coding and modifying cost existing in the complex event processing process is reduced, and the complex event processing efficiency is effectively improved.
The following detailed description of exemplary embodiments of the disclosure refers to the accompanying drawings.
In one embodiment, as shown in FIG. 2, a complex event processing method is provided. The embodiment is mainly illustrated by applying the method to a computer device, where the computer device may specifically be the decision engine 130 in fig. 1, and specifically includes the following steps:
in step S11, a plurality of event data selected by the user terminal from the server according to the selected data source is acquired.
In an embodiment, the data in the data source includes an interface manner, such as synchronous or asynchronous, between the decision engine and the terminal sending the decision request, i.e. the second terminal, and a customized message field of the second terminal. Wherein the event data is stored on a server. The data source can be selected by responding to a property editing instruction of the user terminal to display a property editing box, the property editing box comprises a data source input field, the data source is added, modified and deleted through the data source input field, and the selected data sources can be one or more. The data source may be displayed in the data source input field in the form of sliding, scrolling, paging, and the like, but is not limited thereto.
In an embodiment, in addition to responding to the attribute editing instruction of the user terminal, the configuration such as the number of single events required in each complex event, the timing relationship between each single event, the time processing window of each single event, and the rule of each single event can be configured by responding to the configuration editing instruction of the user.
Step S12, generating a plurality of complex events from the plurality of event data to create a plurality of CEP operators from the plurality of complex events.
In one embodiment, one data source may correspond to a plurality of different event data. After the user terminal pulls a plurality of different event data according to a selected data source, a work submission task interface of the flink is called by the server by taking the plurality of event data as request parameters, and a decision engine is started to receive the plurality of event data and generate a plurality of complex events, so that a plurality of CEP operators are generated according to the plurality of complex events in a one-to-one correspondence manner.
In an embodiment, each complex event is generated specifically according to the event data and the configuration information of the event data received from the user terminal. The configuration information comprises time sequence configuration among sub event data in the event data, and the sub event data is used for forming a single event in the complex event. The time sequence of each sub-event data is configured to enable the plurality of sub-event data to be sequenced according to the selected time sequence relationship through the time sequence relationship among the plurality of sub-event data set in the visual window by the user terminal, namely the first terminal. By means of creating the complex event according to the sequencing information of the data of the multiple sub-events, the problem of data disorder in the complex event processing process can be avoided. In addition, the configuration information may also be rule configuration information, i.e., rule data specified for each complex event selection. In addition, the configuration information may also be the number of loop matches of the complex event and the time window of the complex event, where the time window may be the time interval that occurs between two complex events. After the configuration information is formed, a plurality of CEP operators can be created according to a plurality of complex events and corresponding configuration information thereof, wherein one complex event and configuration information thereof correspond to one CEP operator. By means of the mode of transmitting the configuration information, the configuration information does not need to be hard coded into a CEP operator, and therefore configuration modification of complex events is facilitated.
In order to realize rapid creation of CEP operators, in an embodiment, the server assembles each complex event and/or configuration information corresponding to the complex event into a DSL segment through the DSL generator, and then issues the DSL segment to the DSL parser in the decision engine, so that the plurality of DSL segments are parsed through the DSL parser, respectively, so as to create a plurality of CEP operators according to the plurality of DSL segments.
Step S13, when receiving the decision request, obtaining a rule data packet configured by the user terminal, matching the multiple rule data in the rule data packet with the multiple CEP operators one by one, forming multiple decision tasks based on the matching relationship, and then executing the multiple decision tasks according to the decision request to generate a decision result.
The rule data packet is composed of a plurality of rule data pulled from the server by the user terminal, namely the first terminal through the appointed data source.
In one embodiment, the decision task is executed in parallel, so as to respond to the decision request quickly.
In order to avoid the final decision inaccuracy caused by the concurrence of a plurality of complex events, in one embodiment, a plurality of decision tasks are executed according to a decision request, a plurality of decision information corresponding to the decision tasks in a one-to-one manner is obtained, and then the decision information corresponding to the decision task with the largest weight value in the preset weights is selected according to the preset weights of the decision tasks to generate a decision result; or weighting each decision information according to the preset weight of each decision task to generate a decision result. The preset weight is a weight value corresponding to a preset CEP operator, and represents the importance degree of each CEP operator, and the preset weight of the decision task is the preset weight of the corresponding CEP operator.
To enable dynamic compilation and dynamic execution of complex events, in one embodiment, as shown in FIG. 3, a matching method is provided, comprising:
in step S21, the expression engine parses the plurality of rule data to obtain a plurality of rule expressions corresponding to the plurality of rule data one to one.
And step S22, matching the multiple regular expressions with preset regular expressions of multiple CEP operators, and determining the matching relationship between the multiple CEP operators and the multiple regular data, so as to form multiple decision tasks according to the matching relationship.
In one embodiment, a complex event processing apparatus is provided. As shown in fig. 4, includes:
a data selection module 101, configured to acquire a plurality of event data pulled from a server by a user terminal according to a selected data source; and the data source is selected according to a configuration instruction received by the user terminal.
An operator creating module 102, configured to generate a plurality of complex events according to the plurality of event data, so as to create a plurality of CEP operators according to the plurality of complex events.
The event processing module 103 is configured to, when a decision request is received, obtain a rule data packet configured by the user terminal, match a plurality of rule data in the rule data packet with the plurality of CEP operators one by one, form a plurality of decision tasks based on a matching relationship, and then execute the plurality of decision tasks according to the decision request to generate a decision result.
In an embodiment, the operator creating module 102 is specifically configured to generate a complex event according to the event data and configuration information of the event data received from the user terminal; the configuration information comprises time sequence configuration among sub event data in the event data, and the sub event data is used for forming a single event in the complex event.
In an embodiment, the operator creating module 102 is specifically configured to receive a plurality of DSL segments generated by a DSL generator according to a plurality of complex events, and parse the plurality of DSL segments by a DSL parser to create a plurality of CEP operators according to the plurality of DSL segments.
In one embodiment, the complex event processing module 103 is further configured to perform multiple decision tasks in parallel.
In an embodiment, the complex event processing module 103 is further configured to parse, by an expression engine, the plurality of rule data to obtain a plurality of rule expressions corresponding to the plurality of rule data one to one; and matching the plurality of regular expressions with preset regular expressions of the plurality of CEP operators, determining the matching relation between the plurality of CEP operators and the plurality of regular data, and forming a plurality of decision tasks according to the matching relation.
In one embodiment, the complex event processing module 103 is further configured to execute the plurality of decision tasks according to the number of cycles set by each of the plurality of decision tasks and the time windows set by the plurality of CEP operators in the plurality of decision tasks.
In an embodiment, the complex event processing module 103 is further configured to execute the multiple decision tasks according to the decision request, and obtain multiple decision information corresponding to the multiple decision tasks one to one; according to the preset weight of each decision task, selecting the decision information corresponding to the decision task with the largest weight value in each preset weight to generate a decision result; or weighting the decision information according to the preset weight of each decision task to generate a decision result.
In one embodiment, a schematic structural diagram of a terminal device is provided. As shown in fig. 5, the terminal device includes a processor, a memory, an input/output interface, and a cache connected by a system bus. Wherein the processor of the terminal device is configured to provide computing and control capabilities. The memory of the terminal equipment comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a cache. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the terminal equipment is used for being connected with an external cache so as to receive the component data in the cache. The terminal device, when executed by the processor, implements the complex event processing method described in the above embodiments. Those skilled in the art will appreciate that the structure shown in fig. 5 is a block diagram of only a portion of the structure relevant to the present application, and does not constitute a limitation on the terminal device to which the present application is applied, and a particular terminal device may include more or less components than those shown in the drawings, or combine certain components, or have a different arrangement of components.
The foregoing is a preferred embodiment of the present application, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present application, and these modifications and decorations are also regarded as the protection scope of the present application.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Claims (10)
1. A method for processing complex events, comprising:
acquiring a plurality of event data selected by a user terminal from a server according to a selected data source; the data source is selected according to a configuration instruction received by a user terminal;
generating a plurality of complex events from the plurality of event data to create a plurality of CEP operators from the plurality of complex events;
when a decision request is received, a rule data packet configured by the user terminal is obtained, a plurality of rule data in the rule data packet are matched with the plurality of CEP operators one by one, a plurality of decision tasks are formed based on a matching relation, and then the decision tasks are executed according to the decision request to generate a decision result.
2. The complex event processing method of claim 1, wherein generating a plurality of complex events from the plurality of event data comprises:
generating a complex event according to the event data and the configuration information of the event data received from the user terminal; the configuration information includes a time sequence configuration between sub-event data in the event data, and the sub-event data is used for forming a single event in the complex event.
3. The complex event processing method as claimed in claim 1, wherein said performing the plurality of decision tasks comprises:
the plurality of decision tasks are performed in parallel.
4. The method for processing complex events according to claim 1 or 3, wherein the executing the plurality of decision tasks according to the decision request to generate a decision result comprises:
executing the decision tasks according to the decision request, and acquiring a plurality of decision information corresponding to the decision tasks one by one;
according to the preset weight of each decision task, selecting the decision information corresponding to the decision task with the largest weight value in each preset weight to generate a decision result; or the like, or, alternatively,
and weighting the decision information according to the preset weight of each decision task to generate a decision result.
5. The method of complex event processing according to claim 1, wherein said creating a plurality of CEP operators from the plurality of complex events comprises:
receiving a plurality of DSL segments generated by a DSL generator according to the plurality of complex events, and analyzing the DSL segments by a DSL resolver so as to create a plurality of CEP operators according to the DSL segments.
6. The complex event processing method as claimed in claim 1, wherein the matching the plurality of rule data in the rule data package with the plurality of CEP operators one by one to form a plurality of decision tasks based on matching relationships comprises:
analyzing the plurality of rule data through an expression engine to obtain a plurality of rule expressions which correspond to the plurality of rule data one by one;
and matching the plurality of regular expressions with preset regular expressions of the plurality of CEP operators, determining the matching relation between the plurality of CEP operators and the plurality of regular data, and forming a plurality of decision tasks according to the matching relation.
7. The complex event processing method as claimed in claim 1, wherein said performing the plurality of decision tasks comprises:
and executing the decision tasks according to the cycle number set by each decision task in the decision tasks and the time windows set by the CEP operators in the decision tasks.
8. A complex event processing apparatus, comprising:
the data selection module is used for acquiring a plurality of event data pulled from the server by the user terminal according to the selected data source; the data source is selected according to a configuration instruction received by a user terminal;
an operator creation module for generating a plurality of complex events from the plurality of event data to create a plurality of CEP operators from the plurality of complex events;
and the event processing module is used for acquiring a rule data packet configured by the user terminal when a decision request is received, matching a plurality of rule data in the rule data packet with the plurality of CEP operators one by one to form a plurality of decision tasks based on a matching relation, and then executing the plurality of decision tasks according to the decision request to generate a decision result.
9. The complex event processing apparatus according to claim 8, wherein the complex event processing module is specifically configured to:
analyzing the plurality of rule data through an expression engine to obtain a plurality of rule expressions which correspond to the plurality of rule data one by one;
and matching the plurality of regular expressions with preset regular expressions of the plurality of CEP operators, determining the matching relation between the plurality of CEP operators and the plurality of regular data, and forming a plurality of decision tasks according to the matching relation.
10. A terminal device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of the complex event processing method as claimed in any one of claims 1 to 7.
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