阅读说明：本技术 数据解析方法、装置、电子设备及计算机可读存储介质 (Data analysis method and device, electronic equipment and computer readable storage medium ) 是由 付景润 付海艳 于 2020-11-30 设计创作，主要内容包括：本申请实施例提供了一种数据解析方法、装置、电子设备及计算机可读存储介质,涉及数据解析领域。该方法包括：接收数据请求,数据请求中包括业务线标识以及数据源标识；从数据源标识对应的数据源中查找并获取与业务线标识对应的数据；基于与业务线标识对应的解析方法,对获取到的数据进行解析。本申请实施例通过接收包含业务线标识以及数据源标识的数据请求,从数据源标识对应的数据源中查找并获取与业务线标识对应的数据；基于与业务线标识对应的解析方法,对获取到的数据进行解析,从而实现基于业务线标识,对业务线涉及的数据进行统一的解析,实现了多数据的解析,提升了多数据的解析效率以及管理程度。(The embodiment of the application provides a data analysis method and device, electronic equipment and a computer readable storage medium, and relates to the field of data analysis. The method comprises the following steps: receiving a data request, wherein the data request comprises a service line identifier and a data source identifier; searching and acquiring data corresponding to the service line identifier from a data source corresponding to the data source identifier; and analyzing the acquired data based on an analysis method corresponding to the service line identification. The method comprises the steps that a data request containing a service line identifier and a data source identifier is received, and data corresponding to the service line identifier are searched and obtained from a data source corresponding to the data source identifier; the acquired data are analyzed based on the analysis method corresponding to the service line identification, so that unified analysis of the data related to the service line is realized based on the service line identification, multi-data analysis is realized, and multi-data analysis efficiency and management degree are improved.)

1. A data parsing method, comprising:

receiving a data request, wherein the data request comprises a service line identifier and a data source identifier;

searching and acquiring data corresponding to the service line identifier from a data source corresponding to the data source identifier;

and analyzing the acquired data based on an analysis method corresponding to the service line identifier.

2. The parsing method of claim 1, wherein the service line identifier corresponds to at least one data indicator, and the searching and obtaining data corresponding to the service line identifier from a data source corresponding to the data source identifier comprises:

and searching and acquiring data respectively corresponding to each data index from the data source corresponding to the data source identifier.

3. The parsing method according to claim 2, wherein any data index matches a corresponding parsing method, and the parsing the acquired data based on the parsing method corresponding to the service line identifier includes:

and analyzing the acquired data containing the corresponding data indexes based on an analysis method corresponding to any data index.

4. The analysis method according to claim 1,

the searching and acquiring the data corresponding to the service line identifier from the data source corresponding to the data source identifier includes:

determining a preset analysis task code corresponding to the service line identifier, wherein the analysis task code corresponds to at least one data index;

and searching and acquiring data corresponding to the analysis task code from the data source corresponding to the data source identifier.

5. The parsing method according to claim 1, wherein parsing the acquired data based on the parsing method corresponding to the service line identifier includes:

and acquiring field data from a preset position of the acquired data, and calculating the field data.

6. The parsing method of claim 1, wherein the method further comprises:

and storing the analyzed data according to the classification of the data indexes for managing the analyzed data.

7. A data analysis device, comprising:

the receiving module is used for receiving a data request, wherein the data request comprises a service line identifier and a data source identifier;

the acquisition module is used for searching and acquiring data corresponding to the service line identifier from a data source corresponding to the data source identifier;

and the analysis module is used for analyzing the acquired data based on the analysis method corresponding to the service line identifier.

8. The parsing apparatus of claim 7, wherein the service line identifier corresponds to at least one data indicator,

and the acquisition module is specifically used for searching and acquiring data respectively corresponding to each data index from the data source corresponding to the data source identifier.

9. An electronic device, characterized in that the electronic device comprises:

one or more processors;

a memory;

one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: performing the data parsing method according to any one of claims 1 to 6.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the data parsing method according to any one of claims 1-6.

Technical Field

The present application relates to the field of data parsing technologies, and in particular, to a data parsing method and apparatus, an electronic device, and a computer-readable storage medium.

Background

In the existing business processing scenario, more data indexes are usually used for performing complex business logic processing, for example, when a credit investigation business system processes credit rating, multiple data indexes such as gender, age, occupation, etc. are used for performing business processing, and the used data indexes are obtained from different systems according to different business lines, so that the extraction logic of each index data can be scattered in different systems, when the problems that the extraction logic of some data indexes needs to be changed, etc. are faced, the processing cannot be performed through a uniform configuration means, therefore, the management and maintenance of the index data are difficult to implement, and further the business development and complexity are faced to be improved,

disclosure of Invention

The object of the present application is to solve at least one of the above-mentioned technical drawbacks, in particular the technical drawbacks of data parsing of different systems.

In a first aspect, a data parsing method is provided, where the method includes: receiving a data request, wherein the data request comprises a service line identifier and a data source identifier;

searching and acquiring data corresponding to the service line identifier from a data source corresponding to the data source identifier;

and analyzing the acquired data based on an analysis method corresponding to the service line identification.

In one possible implementation manner, the searching and acquiring data corresponding to the service line identifier from the data source corresponding to the data source identifier, where the service line identifier corresponds to at least one data indicator, includes:

and searching and acquiring data respectively corresponding to each data index from the data source corresponding to the data source identifier.

In another possible implementation manner, any data index matches with a corresponding analysis method, and the analyzing of the acquired data based on the analysis method corresponding to the service line identifier includes:

and analyzing the acquired data containing the corresponding data indexes based on an analysis method corresponding to any data index.

In another possible implementation manner, searching and acquiring data corresponding to the service line identifier from a data source corresponding to the data source identifier includes:

determining preset analysis task codes corresponding to the service line identifications, wherein the analysis task codes correspond to at least one data index;

and searching and acquiring data corresponding to the analysis task code from the data source corresponding to the data source identifier.

In another possible implementation manner, analyzing the acquired data based on an analysis method corresponding to the service line identifier includes:

and acquiring field data from a preset position of the acquired data, and calculating the field data.

In another possible implementation, the method further includes:

and storing the analyzed data according to the classification of the data indexes for managing the analyzed data.

In a second aspect, a data parsing apparatus is provided, the apparatus including:

the receiving module is used for receiving a data request, and the data request comprises a service line identifier and a data source identifier;

the acquisition module is used for searching and acquiring data corresponding to the service line identifier from the data source corresponding to the data source identifier;

and the analysis module is used for analyzing the acquired data based on the analysis method corresponding to the service line identifier.

In one possible implementation, the service line identification corresponds to at least one data indicator,

and the acquisition module is specifically used for searching and acquiring data respectively corresponding to each data index from the data source corresponding to the data source identifier.

In a third aspect, an electronic device is provided, which includes:

one or more processors;

a memory;

one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: performing the data parsing method according to any one of claims 1 to 6.

For example, in a third aspect of the present application, there is provided a computing device comprising: the processor, the memory and the communication interface complete mutual communication through the communication bus;

the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the data analysis method as shown in the first aspect of the application.

In a fourth aspect, there is provided a computer readable storage medium, which when executed by a processor implements the data parsing method of any one of claims 1-6.

For example, in a fourth aspect of the embodiments of the present application, a computer-readable storage medium is provided, on which a computer program is stored, and the computer program, when executed by a processor, implements the data parsing method shown in the first aspect of the present application.

The beneficial effect that technical scheme that this application provided brought is:

the method comprises the steps that a data request containing a service line identifier and a data source identifier is received, and data corresponding to the service line identifier are searched and obtained from a data source corresponding to the data source identifier; the acquired data are analyzed based on the analysis method corresponding to the service line identification, so that unified analysis of the data related to the service line is realized based on the service line identification, multi-data analysis is realized, and multi-data analysis efficiency and management degree are improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the description of the embodiments of the present application will be briefly described below.

Fig. 1 is a schematic flowchart of a data parsing method according to an embodiment of the present application;

fig. 2 is a schematic view of an application scenario of a data analysis method according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of a data analysis apparatus according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of an electronic device for data analysis according to an embodiment of the present application.

Detailed Description

Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present invention.

As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any element and all combinations of one or more of the associated listed items.

To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

The method comprises the steps that a data request containing a service line identifier and a data source identifier is received, and data corresponding to the service line identifier are searched and obtained from a data source corresponding to the data source identifier; the acquired data are analyzed based on the analysis method corresponding to the service line identification, so that unified analysis of the data related to the service line is realized based on the service line identification, multi-data analysis management is realized, and multi-data analysis efficiency and management degree are improved.

The following describes the technical solutions of the present application and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.

The embodiment of the application provides a data analysis method, and an execution subject of the method can be various terminal or server devices with data analysis capability, and can also be devices or chips integrated on the devices. Such as a computer device with data parsing capabilities. As shown in fig. 1, which is a schematic flow chart of a data parsing method provided in an embodiment of the present application, the method includes the following steps:

s101: a data request is received.

Specifically, the data request may include a service line identifier and a data source identifier, where the service line identifier may correspond to one or more data indicators to be obtained. The service line identifier may be a chinese or english name of a service line for processing a specific service, or may also be a code corresponding to the service line, for example, in a specific service scenario, the service line may be a credit investigation system service line, and the data index to be acquired associated with the service line may include "gender", "age", "academic calendar", and the like.

S102: and searching and acquiring data corresponding to the service line identifier from the data source corresponding to the data source identifier.

Specifically, the data source corresponding to the data source identifier in step S101 may be at least one preset database or at least one preset data, or may be at least one database or at least one preset data provided by a third-party system, and the data source corresponding to the data source identifier may be obtained through a preset data interface, specifically, the data corresponding to the service line identifier may be searched and obtained through a preset identifier in the data source, for example, an identifier the same as or a matching identifier with the service line identifier may be preset in the data source, so that the data corresponding to the service line identifier may be searched in the data source. In addition, data corresponding to the service line identifier can be searched according to the type of the data in the data source, for example, the service line corresponding to the service line identifier in the received data request is a credit investigation system service line, and the data index associated with the credit investigation system service line is related data in the personal information form, so that related form data with the form type of personal information can be searched in the data source.

S103: and analyzing the acquired data based on an analysis method corresponding to the service line identification.

Specifically, the service line identifier may correspond to one or more analysis methods, for example, the analysis method may be an analysis method corresponding to each data index corresponding to the service line identifier, for example, the credit investigation system service line identifier corresponds to each data index such as "sex", "age", and "academic calendar", and therefore, the service line identifier may correspond to an analysis method of a "sex" data index, an analysis method of an "age" data index, an analysis method of an "academic calendar" data index, and the like. In addition, the analysis method corresponding to the service line identifier can also be a unified analysis method.

The method comprises the steps that a data request containing a service line identifier and a data source identifier is received, and data corresponding to the service line identifier are searched and obtained from a data source corresponding to the data source identifier; the acquired data are analyzed based on the analysis method corresponding to the service line identification, so that unified analysis of the data related to the service line is realized based on the service line identification, multi-data analysis management is realized, and multi-data analysis efficiency and management degree are improved.

In an embodiment of the application, the step S102 may specifically include:

and searching and acquiring data respectively corresponding to each data index from the data source corresponding to the data source identifier.

Specifically, in the data request of step S101, the service line identifier may correspond to at least one data index, for example, the service line corresponding to the service line identifier is a credit investigation system service line, and the data index corresponding to the credit investigation system service line may include personal information, such as age, sex, height, and the like, and vehicle information, such as a vehicle brand, a license plate number, and the like. The data index related to the personal information may be included in a person data form in the data source, the data index related to the vehicle information may be included in a vehicle data form in the data source, and the person data form and the vehicle data form in the data source may be provided with a flag corresponding to the data index included in each data form, for example, the person data form in the data source may be provided with a pdata flag corresponding to the personal information, and the vehicle data form may be provided with an mdata flag corresponding to the vehicle information, so that the person data form marked with the pdata flag and the vehicle data form marked with the mdata flag may be searched and acquired in the data source. In addition, it should be noted that the person data form containing the personal information and the vehicle data form containing the vehicle information in the above example are only exemplary data corresponding to each data index, and in other embodiments, the data corresponding to each data index may be structured data containing a data index, for example, structured data containing the personal information or the vehicle information.

The step S103 may specifically include:

and analyzing the acquired data containing the corresponding data indexes based on an analysis method corresponding to any data index.

Specifically, any data index corresponding to the service line identifier matches with a corresponding analysis method. Therefore, for the data corresponding to each data index acquired in step S102, the acquired data including the corresponding data index may be analyzed based on the analysis method corresponding to each data index. For example, in the above embodiment, the acquired person data form marked with pdata identifier and the acquired vehicle data form marked with mdata identifier may be analyzed by using an analysis method corresponding to each data index such as age, sex, and height. For example, the method for analyzing the data index may include obtaining data corresponding to the corresponding data index according to field information in the personal data form, for example, obtaining data corresponding to a "gender" field in the personal data form, or may further obtain data corresponding to the data index according to a preset position of the data index, for example, data corresponding to a "age" data index is located in a second byte of the structured data corresponding to the personal information, and thus, data corresponding to the "age" data index may be obtained at a corresponding position in the structured data corresponding to the personal information. In addition, the method for analyzing the data index may further include performing calculation processing on the data index obtained through the field information or according to the preset position, for example, when the data index corresponding to the service line identifier is an "average score", the data index obtained through the field information or according to the preset position, for example, the score of each lesson, may be subjected to average calculation. It should be noted that, in the analysis method according to the embodiment of the present application, the calculation process performed on the data obtained by the field information or the data obtained from the preset position is not limited to the average calculation in the above example, and it is understood that the calculation process may include various logic calculation processes performed on the data.

According to the data analysis method and the data analysis device, the acquired data containing the corresponding data indexes are analyzed through the analysis method corresponding to any data index, so that analysis management of multiple data is achieved, and analysis efficiency and management degree of the multiple data are improved.

In an embodiment of the application, the step S102 may specifically include:

s1021: and determining a preset analysis task code corresponding to the service line identifier.

Specifically, the service line identifier may correspond to a preset parsing task code, the parsing task code may correspond to at least one data index, and in an actual service processing process, according to a data index condition required by the service line, a data index corresponding to the parsing task code corresponding to the service line identifier may be correspondingly increased or decreased. For example, if data indexes such as "height" and "weight" need to be added to data that needs to be acquired by the credit investigation system service line in the above embodiment, the data indexes such as "height" and "weight" may be added to data indexes corresponding to the analysis task code corresponding to the service line identifier.

S1022: and searching and acquiring data corresponding to the analysis task code from the data source corresponding to the data source identifier.

Specifically, the data corresponding to the analysis task code may be searched and obtained through a preset identifier in the data source.

According to the embodiment of the application, the data corresponding to the analysis codes are obtained through the analysis task codes corresponding to the service line identifiers, so that the data indexes corresponding to the analysis codes can be analyzed.

In an embodiment of the application, the step S103 may specifically include:

and acquiring field data from a preset position of the acquired data, and calculating the field data.

Specifically, the service line identifier may correspond to one or more analysis methods, for example, the analysis method may be an analysis method corresponding to each data index corresponding to the service line identifier, for example, each data index such as a sex, an age, and a school calendar corresponding to the service line identifier of the credit investigation system may correspond to a sex analysis method, an age analysis method, a school calendar analysis method, and the like. In addition, the analysis method corresponding to the service line identifier can also be a unified analysis method. The method for analyzing the data index may include acquiring data corresponding to a corresponding data index according to field information in the staff data form, or may also acquire data corresponding to the data index according to a preset position of the data index, and in addition, the method for analyzing the data index may further include performing calculation processing on the data index acquired through the field information or according to the preset position, for example, when the data index corresponding to the service line identifier is an "average score", an average value may be calculated on the data index acquired through the field information or according to the preset position, for example, a score of each door course. It should be noted that, in the analysis method according to the embodiment of the present application, the calculation process performed on the data obtained by the field information or the data obtained from the preset position is not limited to the average calculation in the above example, and it is understood that the calculation process may include various logic calculation processes performed on the data.

In an embodiment of the present application, the data parsing method may further include step S104:

s104: and storing the analyzed data according to the classification of the data indexes for managing the analyzed data.

Specifically, the parsed data may be stored according to a preset classification, for example, the data corresponding to each data index may be stored according to a tree structure, so that the parsed data is conveniently managed.

The method comprises the steps that a data request containing a service line identifier and a data source identifier is received, and data corresponding to the service line identifier are searched and obtained from a data source corresponding to the data source identifier; the acquired data are analyzed based on the analysis method corresponding to the service line identification, so that unified analysis of the data related to the service line is realized based on the service line identification, multi-data analysis is realized, and multi-data analysis efficiency and management degree are improved.

In order to better understand the method provided by the embodiment of the present application, the following further describes the technical solution of the embodiment of the present application with reference to fig. 2.

As shown in fig. 2, which is an application scenario diagram of the data analysis method provided in the embodiment of the present application, in a service scenario in which the credit investigation business system processes credit rating, the credit investigation business system as a requester needs to obtain more data indexes related to the credit investigation rating business from a data source, for example, personal information such as gender, age, and occupation of a user, and vehicle information such as license plate number and vehicle brand of a vehicle under a user name, so that, by the data analysis method in the embodiment of the present application, the credit investigation business system can send a data request including the credit investigation rating business line identifier and a data source identifier, and can determine an analysis task code that is set in advance and corresponds to the credit investigation rating business line identifier and analyzes the data indexes related to the credit investigation rating business when analyzing the index data related to the credit investigation rating business, for example, the analysis task code a is used, and therefore, it can be understood that the analysis task code is used for associating data indexes required to be acquired by the credit investigation rating service, such as the personal information of the gender, age, occupation and the like of the user, and the vehicle information of the license plate number, the vehicle brand and the like of the vehicle under the user name. That is, the parsing task code corresponds to a list of data indicators that need to be acquired by the corresponding service line.

Then, according to the data source identifier, data corresponding to each data index corresponding to the parsing task code may be searched and obtained from the data source corresponding to the data source identifier. For example, the analysis task code of the credit investigation rating service corresponds to personal information such as gender, age, occupation, etc. of the user, and vehicle information such as license plate number, vehicle brand, etc. of the vehicle under the user name. Therefore, the corresponding personnel data form containing the personal information data index and the vehicle data form containing the vehicle information data index can be searched from the data source, for example, the identifier corresponding to the contained data index can be preset in each data form in the data source according to the contained data index, for example, the pdata identifier corresponding to the personal information data index can be preset in the personnel data form, the mdata identifier corresponding to the vehicle information data index can be preset in the vehicle data form, and further, the data form with the corresponding identifier can be obtained through the identifier corresponding to the data index. It should be noted that the above data table is only an exemplary description, and the data corresponding to each data index in the data source may also be structured data or a set of structured data including the data index. In addition, the data source may be an externally accessed data source, and may also be preset data.

Further, each data index associated in the parsing task code matches a corresponding parsing method, and the obtained data may be parsed by the parsing method of each data index, for example, data corresponding to the corresponding data index may be obtained according to field information in a data form, or data corresponding to the data index may also be obtained according to a preset position of the data index. The analysis methods for matching the data indexes may be different analysis methods or the same analysis method.

Further, the analyzed data may be stored according to the classification of the data index, for example, the analyzed data may be stored according to the tree structure of the data index for managing the analyzed data.

The method comprises the steps that a data request containing a service line identifier and a data source identifier is received, and data corresponding to the service line identifier are searched and obtained from a data source corresponding to the data source identifier; the acquired data are analyzed based on the analysis method corresponding to the service line identification, so that unified analysis of the data related to the service line is realized based on the service line identification, multi-data analysis is realized, and multi-data analysis efficiency and management degree are improved.

An embodiment of the present application provides a data analysis apparatus, as shown in fig. 3, which is a schematic structural diagram of the data analysis apparatus provided in the embodiment of the present application, and the data analysis apparatus 30 may include: a receiving module 301, an obtaining module 302, a parsing module 303, wherein,

the receiving module 301 is configured to receive a data request, where the data request includes a service line identifier and a data source identifier.

Specifically, the data request may include a service line identifier and a data source identifier, where the service line identifier may correspond to one or more data indicators to be obtained.

The obtaining module 302 is configured to search and obtain data corresponding to the service line identifier from a data source corresponding to the data source identifier.

The data source corresponding to the data source identifier may be at least one preset database or at least one preset data, or may be at least one database or at least one data provided by a third-party system, and the data source corresponding to the data source identifier may be acquired through a preset data interface, specifically, the data corresponding to the service line identifier may be searched and acquired through a preset identifier in the data source, for example, the same identifier as the service line or a matched identifier may be preset in the data source, so that the data corresponding to the service line may be searched in the data source. In addition, the data corresponding to the service line can be searched according to the type of the data in the data source.

And the analysis module 303 is configured to analyze the acquired data based on an analysis method corresponding to the service line identifier.

Specifically, the service line identifier may correspond to one or more analysis methods, and in addition, the analysis method corresponding to the service line identifier may also be a unified analysis method.

In another embodiment of the present application, the service line identifier corresponds to at least one data indicator, and the obtaining module 302 is specifically configured to search and obtain data corresponding to each data indicator from a data source corresponding to the data source identifier.

Any data index matches with a corresponding analysis method, and the analysis module 303 is specifically configured to analyze the acquired data including the corresponding data index based on the analysis method corresponding to any data index.

In another embodiment of the present application, the obtaining module 302 is specifically configured to determine a preset parsing task code corresponding to a service line identifier, where the parsing task code corresponds to at least one data indicator;

and searching and acquiring data corresponding to the analysis task code from the data source corresponding to the data source identifier.

In another embodiment of the present application, the parsing module 303 is specifically configured to obtain field data from a preset position of the obtained data, and perform calculation processing on the field data.

In another embodiment of the present application, the data analysis apparatus may further include a storage module, configured to store the analyzed data according to a classification of the data index, so as to manage the analyzed data.

Specifically, the parsed data may be stored according to a preset classification, for example, the data corresponding to each data index may be stored according to a tree structure, so that the parsed data is conveniently managed.

The data analysis apparatus of this embodiment can perform the data analysis method shown in the foregoing embodiments of the present application, and the implementation principles thereof are similar, and are not described herein again.

The method comprises the steps that a data request containing a service line identifier and a data source identifier is received, and data corresponding to the service line identifier are searched and obtained from a data source corresponding to the data source identifier; the acquired data are analyzed based on the analysis method corresponding to the service line identification, so that unified analysis of the data related to the service line is realized based on the service line identification, multi-data analysis is realized, and multi-data analysis efficiency and management degree are improved.

An embodiment of the present application provides an electronic device, including: a memory and a processor; at least one program stored in the memory for execution by the processor, which when executed by the processor, implements: the method comprises the steps that a data request containing a service line identifier and a data source identifier is received, and data corresponding to the service line identifier are searched and obtained from a data source corresponding to the data source identifier; the acquired data are analyzed based on the analysis method corresponding to the service line identification, so that unified analysis of the data related to the service line is realized based on the service line identification, multi-data analysis is realized, and multi-data analysis efficiency and management degree are improved.

In an alternative embodiment, an electronic device is provided, as shown in fig. 4, the electronic device 4000 shown in fig. 4 comprising: a processor 4001 and a memory 4003. Processor 4001 is coupled to memory 4003, such as via bus 4002. Optionally, the electronic device 4000 may further include a transceiver 4004, and the transceiver 4004 may be used for data interaction between the electronic device and other electronic devices, such as transmission of data and/or reception of data. In addition, the transceiver 4004 is not limited to one in practical applications, and the structure of the electronic device 4000 is not limited to the embodiment of the present application.

The Processor 4001 may be a CPU (Central Processing Unit), a general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 4001 may also be a combination that performs a computational function, including, for example, a combination of one or more microprocessors, a combination of a DSP and a microprocessor, or the like.

Bus 4002 may include a path that carries information between the aforementioned components. The bus 4002 may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus 4002 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 4, but this does not indicate only one bus or one type of bus.

The Memory 4003 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic Disc storage medium or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these.

The memory 4003 is used for storing application codes for executing the scheme of the present application, and the execution is controlled by the processor 4001. Processor 4001 is configured to execute application code stored in memory 4003 to implement what is shown in the foregoing method embodiments.

Among them, electronic devices include but are not limited to: mobile phones, notebook computers, multimedia players, desktop computers, and the like.

The present application provides a computer-readable storage medium, on which a computer program is stored, which, when running on a computer, enables the computer to execute the corresponding content in the foregoing method embodiments. Compared with the prior art, the embodiment of the application searches and acquires the data corresponding to the service line identifier from the data source corresponding to the data source identifier by receiving the data request comprising the service line identifier and the data source identifier; the acquired data are analyzed based on the analysis method corresponding to the service line identification, so that unified analysis of the data related to the service line is realized based on the service line identification, multi-data analysis is realized, and multi-data analysis efficiency and management degree are improved.

It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

The foregoing is only a partial embodiment of the present invention, 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 invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.