CN111597245B - Data extraction method and device and related equipment - Google Patents
Data extraction method and device and related equipment Download PDFInfo
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- CN111597245B CN111597245B CN202010430470.7A CN202010430470A CN111597245B CN 111597245 B CN111597245 B CN 111597245B CN 202010430470 A CN202010430470 A CN 202010430470A CN 111597245 B CN111597245 B CN 111597245B
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
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Abstract
The application discloses a data extraction method, which comprises the steps of obtaining service data; loading data according to the service data to obtain source data; configuring an extraction executor according to the service data; performing data extraction on the source data by using the extraction executor to obtain target data; the data extraction method can be used for configuring extraction actuators of different types according to different service types so as to realize data extraction services of multiple types, effectively improve the universality of data extraction equipment, simplify the equipment development flow and reduce the equipment development difficulty. The application also discloses a data extraction device, equipment and a computer readable storage medium, which have the beneficial effects.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a data extraction method, and also to a data extraction device, apparatus, and computer readable storage medium.
Background
The data extraction is a process of extracting data from a data source, and the existing extraction equipment is developed based on own business requirements from loading of the data to outputting of results until the requirement of the whole business line is completed, namely different extraction equipment is required to be developed according to different types of businesses, the realization process is complicated, the requirements of universality, standardization and expandability of random extraction cannot be met, and great development difficulty is brought to technicians.
Therefore, how to effectively improve the versatility of the data extraction device and simplify the development process of the device are the problems to be solved by those skilled in the art.
Disclosure of Invention
The application aims to provide a data extraction method which can effectively improve the universality of data extraction equipment and simplify the development flow of the equipment; another object of the present application is to provide a data extraction device, apparatus and computer-readable storage medium, which also have the above-mentioned advantageous effects.
In order to solve the technical problems, the present application provides a data extraction method, which includes:
acquiring service data;
loading data according to the service data to obtain source data;
configuring an extraction executor according to the service data;
and carrying out data extraction on the source data by using the extraction executor to obtain target data.
Preferably, the extracting executor is configured according to the service data, including:
determining a business rule according to the business data;
and configuring an extraction algorithm according to the business rule, and extracting a factor interference device and a link filter.
Preferably, the extracting the data from the source data by using the extracting executor to obtain target data includes:
filtering the source data by using the link filter to obtain filtered source data;
probability calculation is carried out on the filtered source data according to the service data, and each initial extraction probability is obtained;
probability floating is carried out on each initial extraction probability by using the extraction factor disruptor, so that each extraction probability is obtained;
and carrying out data extraction on the filtered source data by using the extraction algorithm and each extraction probability to obtain the target data.
Preferably, the data extraction method further includes:
sending a confirmation request to a target object corresponding to the target data;
judging whether confirmation information fed back by the target object is received or not;
and if not, returning to the step of extracting the data of the source data by using the extraction executor until a new target object is obtained.
Preferably, the data extraction method further includes:
and sending the target data to display equipment for visual display.
In order to solve the above technical problem, the present application further provides a data extraction device, where the data extraction device includes:
the acquisition module is used for acquiring service data;
the loading module is used for loading data according to the service data to obtain source data;
the configuration module is used for configuring the extraction executor according to the service data;
and the extraction module is used for carrying out data extraction on the source data by utilizing the extraction executor to obtain target data.
Preferably, the data extraction device further includes:
the confirmation module is used for sending a confirmation request to a target object corresponding to the target data; judging whether confirmation information fed back by the target object is received or not; and if not, returning to the step of extracting the data of the source data by using the extraction executor until a new target object is obtained.
Preferably, the data extraction device further includes:
and the display module is used for sending the target data to display equipment for visual display.
In order to solve the above technical problem, the present application further provides a data extraction apparatus, including:
a memory for storing a computer program;
and the processor is used for realizing any one of the data extraction methods when executing the computer program.
To solve the above technical problem, the present application further provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of any one of the above data extraction methods.
The application provides a data extraction method, which comprises the steps of obtaining service data; loading data according to the service data to obtain source data; configuring an extraction executor according to the service data; and carrying out data extraction on the source data by using the extraction executor to obtain target data.
Therefore, after the data is loaded, the data extraction method provided by the application firstly utilizes the service data to adapt the corresponding extraction actuator for the current service, and then utilizes the extraction actuator to execute the current service, so that the data extraction is realized, that is, the realization method can configure the extraction actuators of different types according to the different service types, so as to realize the data extraction service of multiple types, effectively improve the universality of the data extraction equipment, simplify the equipment development flow and reduce the equipment development difficulty.
The data extraction device, the device and the computer readable storage medium provided by the application have the beneficial effects and are not described in detail herein.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present application, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a data extraction method according to the present application;
FIG. 2 is a schematic diagram of a data extraction system according to the present application;
FIG. 3 is a schematic diagram of a data extraction device according to the present application;
fig. 4 is a schematic structural diagram of a data extraction device according to the present application.
Detailed Description
The core of the application is to provide a data extraction method, which can effectively improve the universality of data extraction equipment and simplify the development flow of the equipment; another core of the present application is to provide a data extraction device, apparatus and computer-readable storage medium, which also have the above-mentioned advantageous effects.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, fig. 1 is a flow chart of a data extraction method provided by the present application, where the data extraction method may include:
s101: acquiring service data;
the step aims at realizing the acquisition of service data, wherein the service data is the related data information of the current service to be executed, namely the data information of the current data extraction task. It can be understood that the specific content of the service data does not affect the implementation of the technical scheme, and the data extraction can be completed, for example, the type information of the service to be executed currently, the type of the algorithm for performing the data extraction, the type information of the data extraction result, and the like can be included, which is not limited in the present application.
S102: carrying out data loading according to the service data to obtain source data;
the step aims at realizing the acquisition of source data, and the source data can be obtained by carrying out data loading according to service data. The source data is a set of data subjected to data extraction, that is, the target data required by the current service to be executed can be obtained by performing data extraction on the source data. Of course, different business data corresponds to different source data, for example, for expert extraction in the process of purchasing the project, the source data is a set of all relevant experts.
S103: configuring an extraction executor according to the service data;
the step aims at realizing the configuration of the extraction executor according to the related information configuration in the service data. The extraction executor is an execution main body for executing the data extraction task, and the extraction executor performs data extraction on the source data to obtain the required target data. Likewise, different service data corresponds to different types of extraction actuators, and different types of extraction actuators may also be configured differently, for example, when data extraction needs to be implemented by different data extraction algorithms, then the extraction actuators need to be configured with different data extraction algorithms.
As a preferred embodiment, the extracting actuator configured according to the service data may include: determining a business rule according to the business data; and configuring a decimation algorithm according to the business rule, and decimating the factor jammer and the link filter.
The preferred embodiment provides a more specific configuration method of the extraction actuator, firstly, a business rule is determined based on business data, then the configuration of the extraction actuator is realized according to the business rule, the main configuration content comprises but is not limited to an extraction algorithm, an extraction factor interference device and a link filter, different types of extraction algorithms, the extraction factor interference device and the link filter can be configured based on different business data, wherein the link filter is used for realizing data filtering, the extraction factor interference device is used for realizing probability disturbance, and the extraction algorithm is used for realizing data extraction. Of course, if a specific type is not specified in the traffic data, a device default type of decimation algorithm, decimation factor jammers, link filters, and the like may be employed. In addition, the data extraction device is also provided with an inlet capable of expanding other functions so as to realize the configuration of various extraction actuators, thereby improving the universality of the data extraction device.
S104: and carrying out data extraction on the source data by using an extraction executor to obtain target data.
The step aims at realizing data extraction and obtaining target data, wherein the target data is data information which is needed to be obtained through data extraction. Specifically, after the configuration of the extraction executor is completed, the extraction executor completely corresponds to the current data extraction task and is used for executing the current data extraction task, so that the extraction executor performs data extraction on the source data obtained by loading, and the target data can be obtained. It should be noted that the number of the target data is not unique, that is, in the process of data extraction, there may be more than one data to be extracted, but this is determined based on the current data extraction task requirement, and the implementation of the present technical solution is not affected, which is not limited by the present application.
As a preferred embodiment, the foregoing data extraction of the source data by the extraction executor to obtain the target data may include: filtering the source data by using a link filter to obtain filtered source data; probability calculation is carried out on the filtered source data according to the service data, and each initial extraction probability is obtained; probability floating is carried out on each initial extraction probability by using an extraction factor interference device, so that each extraction probability is obtained; and carrying out data extraction on the filtered source data by using an extraction algorithm and each extraction probability to obtain target data.
The preferred embodiment provides a more specific data extraction method, specifically, based on the configured extraction executor to perform data extraction, the functions of data filtering, probability floating, data extraction and the like can be sequentially realized, and then target data is obtained.
As a preferred embodiment, the data extraction method may further include: sending a confirmation request to a target object corresponding to the target data; judging whether confirmation information fed back by the target object is received or not; if not, returning to the step of extracting the data of the source data by using the extraction executor until a new target object is obtained.
The preferred embodiment aims at realizing the determination of target data through man-machine interaction, namely determining whether the target data can be output as final extraction data or not through a target object corresponding to the target data. Specifically, after determining the target data, a confirmation request can be sent to a target object corresponding to the target data to request the target object to confirm, if confirmation information fed back by the target object is received, the target data is indicated to be feasible data, and then the target data is output; if the confirmation information fed back by the target object is not received, the target data is not feasible, and the data extraction needs to be carried out again until feasible new target data is obtained. For example, for the extraction of the expert in the process of purchasing the project, after the target expert is extracted and obtained, a confirmation request needs to be sent to the target expert to obtain the confirmation of the target expert, and the relevant information of the target expert can be output.
As a preferred embodiment, the data extraction method may further include: and sending the target data to display equipment for visual display.
The preferred embodiment aims to realize visual display of target data, namely after the data extraction is completed to obtain the target data, the target data can be sent to corresponding display equipment for visual display, so that a user can more conveniently and intuitively know the execution result of the current data extraction task.
After the data is loaded, the data extraction method provided by the application firstly utilizes the service data to adapt the corresponding extraction actuator for the current service, and then utilizes the extraction actuator to execute the current service, so that the data extraction is realized, that is, the realization method can configure the extraction actuators of different types according to the different service types, so as to realize the data extraction service of multiple types, effectively improve the universality of the data extraction equipment, simplify the equipment development flow and reduce the equipment development difficulty.
Based on the above embodiments, the embodiment of the present application takes expert extraction as an example, and provides a more specific data extraction method, which specifically includes the following implementation procedures:
referring to fig. 2, fig. 2 is a schematic structural diagram of a data extraction system provided by the present application, where the data extraction system includes a service processing module, a rule extraction module, and an extraction execution module.
(1) Service processing module
Is responsible for inputting business data and carrying and displaying result data; the execution steps comprise:
s10: inputting business data; the business data mainly comprises project data and scheme data;
s11: carrying and displaying result data; the result data are mainly expert details.
(2) Rule extraction module
Is responsible for establishing a business model and executing extraction actions to complete the function of carrying on the top and bottom; the execution steps comprise:
s20: according to the service data, establishing a corresponding service model according to the requirements of the extraction execution module;
s21: an adaptation extraction executor:
s210: determining whether an extended extraction algorithm is required;
s211: determining whether an extended decimation factor jammer is required;
s212: determining whether an extended link filter is required;
s22: according to the adaptation condition of the extraction actuator, finishing initialization;
s23: and finishing data output according to the actuator object (target data) returned by the extraction execution module, and delivering the data to the communication module to finish man-machine interaction state confirmation.
(3) Extraction execution module
Responsible for executing the service and completing expert extraction; the execution steps comprise:
s30: completing data filtering according to the extended link filter and the filtering rule of the extended link filter;
s31: the probability floating of the service data is completed according to the expanded factor jammer and the probability interference strategy of the factor jammer;
s32: constructing extraction containers of all business models;
s33: completing data extraction according to the expanded extraction algorithm or the random algorithm of the data extraction algorithm to obtain an actuator object;
s34: and returning the executor object to the rule extraction module.
Therefore, the data extraction method provided by the embodiment of the application provides generalized extraction service, can achieve the purposes of simplifying coding, simplifying configuration and simplifying monitoring, and meets the requirements of universality, standardization and expandability.
In order to solve the above-mentioned problems, please refer to fig. 3, fig. 3 is a schematic structural diagram of a data extraction device provided by the present application, the data extraction device may include:
an acquisition module 10, configured to acquire service data;
the loading module 20 is used for loading data according to the service data to obtain source data;
a configuration module 30, configured to configure the extraction actuator according to the service data;
the extraction module 40 is configured to perform data extraction on the source data by using an extraction executor, so as to obtain target data.
Therefore, after the data is loaded, the data extraction device provided by the application firstly utilizes the service data to adapt the corresponding extraction actuator for the current service, and then utilizes the extraction actuator to execute the current service, so that the data extraction is realized, that is, the realization method can configure the extraction actuators of different types according to the different service types, so as to realize the data extraction service of multiple types, effectively improve the universality of the data extraction equipment, simplify the equipment development flow and reduce the equipment development difficulty.
As a preferred embodiment, the configuration module 30 may include:
the determining unit is used for determining a business rule according to the business data;
and the configuration unit is used for configuring the extraction algorithm, the extraction factor interference device and the link filter according to the business rule.
As a preferred embodiment, the extraction module 40 may include:
the filtering unit is used for filtering the source data by utilizing the link filter to obtain filtered source data;
the computing unit is used for carrying out probability computation on the filtered source data according to the service data to obtain each initial extraction probability;
the floating unit is used for probability floating of each initial extraction probability by using the extraction factor interference device to obtain each extraction probability;
and the extraction unit is used for carrying out data extraction on the filtered source data by using an extraction algorithm and each extraction probability to obtain target data.
As a preferred embodiment, the data extraction device may further include:
the confirmation module is used for sending a confirmation request to a target object corresponding to the target data; judging whether confirmation information fed back by the target object is received or not; if not, returning to the step of extracting the data of the source data by using the extraction executor until a new target object is obtained.
As a preferred embodiment, the data extraction device may further include:
and the display module is used for sending the target data to the display equipment for visual display.
For the description of the device provided by the present application, please refer to the above method embodiment, and the description of the present application is omitted herein.
In order to solve the above-mentioned problems, please refer to fig. 4, fig. 4 is a schematic structural diagram of a data extraction device according to the present application, wherein the data extraction device may comprise:
a memory 11 for storing a computer program;
a processor 12 for implementing the steps of any of the data extraction methods described above when executing a computer program.
For the description of the apparatus provided by the present application, please refer to the above method embodiment, and the description of the present application is omitted herein.
In order to solve the above-mentioned problems, the present application also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, can implement the steps of any of the data extraction methods described above.
The computer readable storage medium may include: a U-disk, a removable hard disk, a Read-only memory (ROM), a random access memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
For the description of the computer-readable storage medium provided by the present application, refer to the above method embodiments, and the disclosure is not repeated here.
In the description, each embodiment is described in a progressive manner, and each embodiment is mainly described by the differences from other embodiments, so that the same similar parts among the embodiments are mutually referred. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The data extraction method, apparatus, device and computer readable storage medium provided by the present application are described in detail above. The principles and embodiments of the present application have been described herein with reference to specific examples, the description of which is intended only to facilitate an understanding of the method of the present application and its core ideas. It should be noted that it will be apparent to those skilled in the art that various changes and modifications can be made herein without departing from the principles of the application, which also falls within the spirit and scope of the application as defined by the appended claims.
Claims (8)
1. A method of data extraction, comprising:
acquiring service data;
loading data according to the service data to obtain source data;
configuring an extraction executor according to the service data;
performing data extraction on the source data by using the extraction executor to obtain target data;
wherein the extracting executor is configured according to the service data, and the extracting executor comprises:
determining a business rule according to the business data;
configuring an extraction algorithm according to the business rule, and extracting a factor interference device and a link filter;
the extracting the data from the source data by using the extracting executor to obtain target data includes:
filtering the source data by using the link filter to obtain filtered source data;
probability calculation is carried out on the filtered source data according to the service data, and each initial extraction probability is obtained;
probability floating is carried out on each initial extraction probability by using the extraction factor disruptor, so that each extraction probability is obtained;
and carrying out data extraction on the filtered source data by using the extraction algorithm and each extraction probability to obtain the target data.
2. The data extraction method of claim 1, further comprising:
sending a confirmation request to a target object corresponding to the target data;
judging whether confirmation information fed back by the target object is received or not;
and if not, returning to the step of extracting the data of the source data by using the extraction executor until a new target object is obtained.
3. The data extraction method of claim 2, further comprising:
and sending the target data to display equipment for visual display.
4. A data extraction apparatus, comprising:
the acquisition module is used for acquiring service data;
the loading module is used for loading data according to the service data to obtain source data;
the configuration module is used for configuring the extraction executor according to the service data;
the extraction module is used for carrying out data extraction on the source data by utilizing the extraction executor to obtain target data;
the configuration module is specifically configured to determine a service rule according to the service data; configuring an extraction algorithm according to the business rule, and extracting a factor interference device and a link filter;
the extraction module is specifically configured to filter the source data by using the link filter, so as to obtain filtered source data; probability calculation is carried out on the filtered source data according to the service data, and each initial extraction probability is obtained; probability floating is carried out on each initial extraction probability by using the extraction factor disruptor, so that each extraction probability is obtained; and carrying out data extraction on the filtered source data by using the extraction algorithm and each extraction probability to obtain the target data.
5. The data extraction device of claim 4, further comprising:
the confirmation module is used for sending a confirmation request to a target object corresponding to the target data; judging whether confirmation information fed back by the target object is received or not; and if not, returning to the step of extracting the data of the source data by using the extraction executor until a new target object is obtained.
6. The data extraction device of claim 5, further comprising:
and the display module is used for sending the target data to display equipment for visual display.
7. A data extraction apparatus, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the data extraction method according to any one of claims 1 to 3 when executing said computer program.
8. A computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, implements the steps of the data extraction method according to any one of claims 1 to 3.
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