CN116049258A

Movatterモバイル変換

Info

Publication number: CN116049258A
Application number: CN202310026333.0A
Authority: CN
Inventors: 乔凯华; 信春雷; 谢良
Original assignee: Sunshine Property & Casualty Insurance Co
Current assignee: Sunshine Property & Casualty Insurance Co
Priority date: 2023-01-09
Filing date: 2023-01-09
Publication date: 2023-05-02

Abstract

The application provides a data exploration method, a device, equipment and a storage medium, and relates to the technical field of data analysis. The method comprises the following steps: generating a probing task file according to the probing information, wherein the probing task file comprises at least one probing task, and the probing task comprises a probing type and a probing object; generating a probing statement corresponding to each probing task according to a pre-created probing template and a probing task file; and executing the probing statement corresponding to each probing task to obtain the probing result of each probing task. By applying the embodiment of the application, the data exploration efficiency can be improved.

Description

Data exploration method, device, equipment and storage medium

Technical Field

The present invention relates to the field of data analysis technologies, and in particular, to a data exploration method, apparatus, device, and storage medium.

Background

Data warehouse is widely used by big data industry as a data production and management tool with high integration, the data quality in the data warehouse is important, and data exploration has become a key link for ensuring the data quality.

Currently, it is necessary to explore the data quality by manually writing a detection script. However, this can make data probing inefficient.

Disclosure of Invention

The present application aims to provide a data exploration method, device, equipment and storage medium, which can improve the data exploration efficiency, and address the defects in the prior art.

In order to achieve the above purpose, the technical solution adopted in the embodiment of the present application is as follows:

in a first aspect, an embodiment of the present application provides a data exploration method, where the method includes:

generating a probing task file according to the probing information, wherein the probing task file comprises at least one probing task, and the probing task comprises a probing type and a probing object;

generating a probing statement corresponding to each probing task according to a pre-created probing template and the probing task file;

and executing the exploration sentences corresponding to the exploration tasks to obtain exploration results of the exploration tasks.

Optionally, the generating, according to a pre-created probing template and the probing task file, a probing sentence corresponding to each probing task includes:

determining the corresponding exploration statement templates of all exploration tasks according to the exploration statement templates corresponding to all exploration types in the exploration templates and the exploration types of all exploration tasks in the exploration task file;

and generating a probe statement corresponding to each probe task according to the probe statement template corresponding to each probe task and the probe object included in each probe task.

Optionally, the generating, according to the probe sentence templates corresponding to the probe tasks and the probe objects included in the probe tasks, probe sentences corresponding to the probe tasks includes:

identifying the exploration statement templates corresponding to the exploration tasks to obtain information of keyword marks in the exploration statement templates, wherein the information of the keyword marks comprises the keyword marks;

extracting keywords corresponding to the keyword identifications from the exploration objects included in each exploration task according to the information of the keyword identifications in each exploration statement template;

and replacing the keyword mark in the exploration statement template corresponding to each exploration task with the keyword corresponding to the keyword mark, and generating exploration statements corresponding to each exploration task.

Optionally, the generating a probing task file according to the probing information includes:

and generating the exploration task file according to the exploration information and the alarm address, wherein the exploration task file comprises at least one exploration task and the alarm address corresponding to the exploration task.

Optionally, after the executing the probe statement corresponding to each probe task to obtain the probe result of each probe task, the method further includes:

determining whether a probing result which does not meet a preset condition exists according to the probing result of each probing task;

if the detection result does not meet the preset condition, sending the detection result to the alarm address corresponding to the detection task.

Optionally, the method further comprises:

extracting a probing object in the probing results of each probing task and a probing result corresponding to the probing object;

and generating a probe table according to the probe objects in the probe results of each probe task and the probe results corresponding to the probe objects.

Optionally, the method further comprises:

acquiring search information, wherein the search information comprises information related to a probing object;

determining a target exploration object in the exploration list according to the retrieval information;

and acquiring a probing result corresponding to the target probing object according to the target probing object in the probing table.

In a second aspect, embodiments of the present application further provide a data exploration apparatus, including:

the first generation module is used for generating a probing task file according to the probing information, wherein the probing task file comprises at least one probing task, and the probing task comprises a probing type and a probing object;

the second generation module is used for generating a probing statement corresponding to each probing task according to a pre-created probing template and the probing task file;

and the execution module is used for executing the probing statement corresponding to each probing task to obtain the probing result of each probing task.

Optionally, the second generating module is specifically configured to determine, according to a probe sentence template corresponding to each probe type in the probe template and a probe type of each probe task in the probe task file, a probe sentence template corresponding to each probe task; and generating a probe statement corresponding to each probe task according to the probe statement template corresponding to each probe task and the probe object included in each probe task.

Optionally, the second generating module is further specifically configured to identify a probe sentence template corresponding to each probe task, so as to obtain information of a keyword identifier in each probe sentence template, where the information of the keyword identifier includes the keyword identifier; extracting keywords corresponding to the keyword identifications from the exploration objects included in each exploration task according to the information of the keyword identifications in each exploration statement template; and replacing the keyword mark in the exploration statement template corresponding to each exploration task with the keyword corresponding to the keyword mark, and generating exploration statements corresponding to each exploration task.

Optionally, the first generating module is specifically configured to generate the probing task file according to the probing information and the alarm address, where the probing task file includes at least one probing task and the alarm address corresponding to the probing task.

Optionally, the apparatus further comprises: a transmitting module;

the sending module is used for determining whether a probing result which does not meet a preset condition exists according to the probing result of each probing task; if the detection result does not meet the preset condition, sending the detection result to the alarm address corresponding to the detection task.

Optionally, the apparatus further comprises: a third generation module;

the third generating module is used for extracting a probing object in the probing results of each probing task and a probing result corresponding to the probing object; and generating a probe table according to the probe objects in the probe results of each probe task and the probe results corresponding to the probe objects.

Optionally, the apparatus further comprises: a determining module;

the determining module is used for acquiring search information, wherein the search information comprises information related to a probing object; determining a target exploration object in the exploration list according to the retrieval information; and acquiring a probing result corresponding to the target probing object according to the target probing object in the probing table.

In a third aspect, an embodiment of the present application provides an electronic device, including: a processor, a storage medium, and a bus, the storage medium storing machine-readable instructions executable by the processor, the processor and the storage medium communicating over the bus when the electronic device is operating, the processor executing the machine-readable instructions to perform the steps of the data exploration method of the first aspect described above.

In a fourth aspect, embodiments of the present application provide a computer readable storage medium having a computer program stored thereon, which when executed by a processor performs the steps of the data exploration method of the first aspect described above.

The beneficial effects of this application are:

the embodiment of the application provides a data exploration method, a device, equipment and a storage medium, wherein the method comprises the following steps: generating a probing task file according to the probing information, wherein the probing task file comprises at least one probing task, and the probing task comprises a probing type and a probing object; generating a probing statement corresponding to each probing task according to a pre-created probing template and a probing task file; and executing the probing statement corresponding to each probing task to obtain the probing result of each probing task. By adopting the data exploration method provided by the embodiment of the application, the exploration tasks comprising the exploration type and the exploration object can be generated according to the exploration information, namely each exploration task corresponds to the exploration type. After the probing task is determined, the corresponding relation between the pre-created probing template and the probing task in the probing task file can be utilized to automatically generate a probing statement corresponding to each probing task. That is, based on the pre-created probe template, the probe script corresponding to each probe task may be automatically generated, and then the probe script corresponding to each probe task may be executed, so as to obtain the probe result of each probe task. As can be seen, the method and the device can avoid the phenomenon of manually generating the probe script, and can improve the data probing efficiency.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic view of a scenario of a data exploration system according to an embodiment of the present application;

fig. 2 is a flow chart of a data exploration method according to an embodiment of the present application;

FIG. 3 is a flowchart of another data probing method according to an embodiment of the present disclosure;

FIG. 4 is a flowchart of another data exploration method according to an embodiment of the present disclosure;

fig. 5 is a flowchart of still another data exploration method according to an embodiment of the present application;

FIG. 6 is a flowchart of another data probing method according to an embodiment of the present disclosure;

FIG. 7 is a schematic diagram of another data probing apparatus according to an embodiment of the present application;

fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of 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 apparent that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations.

Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.

It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.

Before explaining the embodiments of the present application in detail, an application scenario of the present application will be described first. The application scenario may specifically be a scenario of probing Data in a Data Warehouse (DW) in a big Data industry, where the big Data industry may specifically be a financial industry, a medical industry, etc., and the application is not limited thereto. Data exploration is a very important ring in the data governance process, and can provide guarantee for a plurality of quality and data decision analysis.

The existing data exploration mode utilizes an exploration script written by a technician to explore the original data quality of a database to be explored, and aims at different exploration types, different exploration scripts written by the technician are needed, so that a large amount of manpower and material resources are consumed, and the data exploration efficiency is low.

Aiming at the problems of the prior art, the application provides a data exploration method which utilizes the following example mode to automatically explore data, so that manpower and material resources can be saved, and the data exploration efficiency is improved. Fig. 1 is a schematic view of a scenario of a data exploration system according to an embodiment of the present application, where, as shown in fig. 1, the data exploration system may include: the system comprises aprobe tool 101 and adata warehouse 102, wherein theprobe tool 101 and thedata warehouse 102 can be pre-configured on an electronic device, theprobe tool 101 is used for automatically generating probe sentences corresponding to various probe types and sending the probe sentences corresponding to the various probe types to thedata warehouse 102, thedata warehouse 102 comprises underlying data and an execution engine, the execution engine executes the probe sentences to probe the underlying data, so as to generate a probe result, and the probe result is sent to theprobe tool 101.

In one implementation embodiment, the data exploration system may further include astorage device 103, where theexploration tool 101 processes the received exploration result and stores the processed exploration result in thestorage device 103, so as to generate a probe table.

It should be noted that fig. 1 is only an example, and the present application is not limited thereto.

The data exploration method mentioned in the present application is exemplified below with reference to the accompanying drawings. Fig. 2 is a flow chart of a data exploration method according to an embodiment of the present application. As shown in fig. 2, the method may include:

s201, generating a exploration task file according to exploration information.

The probing task file comprises at least one probing task, and the probing task comprises a probing type and a probing object. It should be noted that the number of probing tasks in the probing task file is not limited in this application.

It will be appreciated that the aforementioned data warehouse may include a plurality of databases, each of which may include a plurality of data tables, and each of which may include a plurality of fields. The content in the data warehouse is not limited in this application.

In an implementation embodiment, a technician may input probe information to the electronic device according to actual requirements, where the probe information includes a database name, a data table name, field information, etc. that need to be probed, and after receiving the probe information, the electronic device may integrate the probe information into a probing task, that is, a probing task file. For example, a probing tool in the electronic device may obtain a probing type from field information included in the probing information, and obtain a probing object from information such as a database name, a data table name, and the like. It may be understood that each probing task included in the probing task file corresponds to a probing type, where the probing type is used to indicate a field type to be probed, and the field type may be a time field, an enumeration field, a null field, etc., and it should be noted that the field type is not limited in this application.

S202, according to a pre-created exploration template and an exploration task file, generating exploration sentences corresponding to each exploration task.

The electronic equipment is provided with a probe template in advance, the probe template comprises probe statement templates corresponding to all probe types, and probe statements corresponding to all probe tasks are automatically generated according to the probe statement templates corresponding to all probe types and the probe types in the probe tasks included in the probe task file. Wherein the probe statement may be an SQL (Structure Query Language, structured query language) statement.

S203, executing the probing sentences corresponding to the probing tasks to obtain the probing results of the probing tasks.

After obtaining the probe sentences corresponding to the probe tasks in the probe task file, executing the probe sentences corresponding to the probe tasks respectively. As can be seen from the above description, the probe tool sends the generated probe sentences corresponding to the probe tasks to the data warehouse, and the execution engine in the data warehouse can execute the probe sentences corresponding to the probe tasks in turn, so as to obtain the probe results corresponding to the probe tasks.

In summary, in the data exploration method provided in the present application, an exploration task including an exploration type and an exploration object may be generated according to exploration information, that is, each exploration task corresponds to an exploration type. After the probing task is determined, the corresponding relation between the pre-created probing template and the probing task in the probing task file can be utilized to automatically generate a probing statement corresponding to each probing task. That is, based on the pre-created probe template, the probe script corresponding to each probe task may be automatically generated, and then the probe script corresponding to each probe task may be executed, so as to obtain the probe result of each probe task. As can be seen, the method and the device can avoid the phenomenon of manually generating the probe script, and can improve the data probing efficiency.

Fig. 3 is a flowchart of another data probing method according to an embodiment of the present application. As shown in fig. 3, optionally, the generating, according to the pre-created probe template and the probe task file, a probe sentence corresponding to each probe task includes:

s301, determining the probe statement templates corresponding to all the probe tasks according to the probe statement templates corresponding to all the probe types in the probe templates and the probe types of all the probe tasks in the probe task file.

S302, generating a probe statement corresponding to each probe task according to the probe statement template corresponding to each probe task and the probe object included in each probe task.

The pre-created probing templates comprise probing statement templates corresponding to all probing types, and it can be understood that the probing statement templates need to be combined with actual probing tasks to probe data in the data warehouse. Based on the above, the probe sentence templates corresponding to the probe types and the probe types of the probe tasks can be matched to obtain the probe tasks and the probe sentence templates belonging to the same probe type, and the probe sentence templates corresponding to the probe tasks can be determined.

After the probe sentence templates corresponding to the probe tasks are determined, the probe sentence templates corresponding to the probe tasks can be modified according to the probe objects included in the probe tasks, so that the probe sentences corresponding to the probe tasks can be obtained. It will be appreciated that the probe statements corresponding to each probe task may characterize the type of probe and the probe object in each probe task.

It can be seen that no matter how many probing tasks are included in the probing task file, the probing sentences corresponding to the probing tasks can be automatically generated uniformly, so that the data in the whole data table can be automatically probed at one time.

Fig. 4 is a flowchart of another data exploration method according to an embodiment of the present application. As shown in fig. 4, optionally, the generating a probe sentence corresponding to each probe task according to the probe sentence template corresponding to each probe task and the probe object included in each probe task includes:

s401, identifying the exploration statement templates corresponding to each exploration task, and obtaining information of keyword identification in each exploration statement template.

From the above description, it is known that the probe statement template needs to be combined with the actual probe task to probe the data in the data warehouse. The probe statement template comprises a keyword mark, the keyword mark is replaced by a corresponding keyword field, namely, the probe statement template is converted into a probe statement, and then the probe statement is executed to probe the data in the data warehouse, so that a probe result is obtained.

In one implementation, after determining the probe sentence templates corresponding to each probe task, the keyword identifiers in the probe sentence templates corresponding to each probe task may be respectively identified. Here, a probe sentence template corresponding to a probe task is used for description, and information of keyword identification in the probe sentence template can be identified, where the information of keyword identification includes keyword identification and position of keyword identification.

S402, extracting keywords corresponding to the keyword identifiers from the exploration objects included in each exploration task according to the information of the keyword identifiers in each exploration statement template.

After the position of the keyword identifier in the probe sentence template is identified, the keyword corresponding to the keyword identifier can be extracted from the probe object included in the probe task corresponding to the probe sentence template according to the corresponding relation between the keyword identifier and the probe object. It should be noted that, the probe sentence template may include one keyword identifier, or may include a plurality of keyword identifiers, which is not limited in this application.

S403, replacing the keyword marks in the probe sentence templates corresponding to the probe tasks with keywords corresponding to the keyword marks, and generating probe sentences corresponding to the probe tasks.

One exemplary method is that, based on the correspondence between the keyword identifiers and the keywords and the positions of the keyword identifiers in the probe sentence templates, each keyword identifier in the probe sentence templates can be replaced by a keyword corresponding to the keyword identifier, that is, the probe sentence templates are converted into probe sentences, so as to obtain probe sentences corresponding to the probe task. And finally, performing exploration on the data in the data warehouse according to the content in the exploration task by executing an exploration statement corresponding to the exploration task.

Optionally, the generating a probing task file according to the probing information includes: and generating a probing task file according to the probing information and the alarm address, wherein the probing task file comprises at least one probing task and the alarm address corresponding to the probing task.

Wherein, corresponding alarm addresses can be configured for each probing task in the process of generating the probing task file. In one possible embodiment, the plurality of probing tasks each correspond to the same alarm address. In another achievable embodiment, the plurality of probing tasks corresponds to a plurality of alarm addresses. And when the probing result corresponding to the probing task does not meet the preset condition, sending the probing result corresponding to the probing task to the alarm address corresponding to the probing task. The alarm address may be a mailbox account number, a WeChat account number, etc.

Optionally, after the executing the probe statement corresponding to each probe task to obtain the probe result of each probe task, the method further includes: determining whether a probing result which does not meet a preset condition exists according to the probing result of each probing task; if the detection result does not meet the preset condition, sending the detection result to the alarm address corresponding to the detection task.

Here, a probing result of a probing task is described as an example, and it is assumed that the probing task is to determine whether a field in the data table a of the database 1 in the data warehouse includes a null value. An exemplary preset condition is that a field including a null value does not exist, and if a probing result of the probing task includes a field including a null value, the probing result is proved to not meet the preset condition, and then the probing result corresponding to the probing task can be sent to an alarm address (such as a mailbox account number) corresponding to the probing task.

It can be seen that the user can check the exploration results which do not meet the preset conditions in time.

Fig. 5 is a flowchart of another data exploration method according to an embodiment of the present application. As shown in fig. 5, optionally, the method may further include:

s501, extracting a probing object in the probing results of each probing task and a probing result corresponding to the probing object.

S502, generating a probe table according to the probing objects in the probing results of the probing tasks and the probing results corresponding to the probing objects.

For example, after obtaining the probing result of each probing task, the probing object, the probing type and the probing result corresponding to each probing task included in each probing task may be obtained. And taking the probing task as a dimension, and correlating the probing objects, the probing types and the probing results which belong to the same probing task. The probe object, the probe type, and the probe result may be considered as columns in a probe table, and then the rows in the probe table represent the probe tasks.

It can be seen that the probe table may fully reveal the overall probe results of the data warehouse, rather than discretely reveal the probe results for each field, which may facilitate comparison between field probe results.

Fig. 6 is a flowchart of another data probing method according to an embodiment of the present application. As shown in fig. 6, optionally, the method may further include:

s601, acquiring search information.

Wherein the search information includes information associated with the probe object. In one implementation, the user may input search information according to actual requirements, where the search information may include a database name, a data table name, and other probe objects, and may also include a probe type. The search information is not limited in this application.

S602, determining a target exploration object in the exploration list according to the retrieval information.

S603, according to the target exploration object in the exploration list, acquiring an exploration result corresponding to the target exploration object.

For example, assuming that the search information includes a data table name, the probe object including the data table name may be searched for from the probe table, and the target probe object may be obtained. It should be noted that the number of the target probing objects may be one or more, and the present application is not limited thereto. After the target probe object is determined, the probe result corresponding to the target probe object can be output as a result.

It can be seen that after the acquisition of the questionnaire, the user can quickly retrieve the required information from the questionnaire, and the data quality in the data warehouse can be efficiently analyzed.

Fig. 7 is a schematic structural diagram of another data probing apparatus according to an embodiment of the present application. As shown in fig. 7, the apparatus includes:

thefirst generating module 701 is configured to generate a probe task file according to the probe information, where the probe task file includes at least one probe task, and the probe task includes a probe type and a probe object;

asecond generating module 702, configured to generate probe sentences corresponding to each probe task according to a pre-created probe template and a probe task file;

and theexecution module 703 is configured to execute a probe statement corresponding to each probe task, so as to obtain a probe result of each probe task.

Optionally, thesecond generating module 702 is specifically configured to determine a probe sentence template corresponding to each probe task according to a probe sentence template corresponding to each probe type in the probe template and a probe type of each probe task in the probe task file; and generating a probe statement corresponding to each probe task according to the probe statement template corresponding to each probe task and the probe object included in each probe task.

Optionally, thesecond generating module 702 is further specifically configured to identify a probe sentence template corresponding to each probe task, so as to obtain information of a keyword identifier in each probe sentence template, where the information of the keyword identifier includes the keyword identifier; extracting keywords corresponding to the keyword identifications from the exploration objects included in each exploration task according to the information of the keyword identifications in each exploration statement template; and replacing the keyword identification in the exploration statement template corresponding to each exploration task with the keyword corresponding to the keyword identification, and generating exploration statements corresponding to each exploration task.

Optionally, thefirst generating module 701 is specifically configured to generate a probing task file according to the probing information and the alarm address, where the probing task file includes at least one probing task and the alarm address corresponding to the probing task.

Optionally, the apparatus further comprises: a transmitting module;

Optionally, the apparatus further comprises: a third generation module;

the third generating module is used for extracting the probing objects in the probing results of the probing tasks and the probing results corresponding to the probing objects; and generating a probe table according to the probe objects in the probe results of each probe task and the probe results corresponding to the probe objects.

Optionally, the apparatus further comprises: a determining module;

The foregoing apparatus is used for executing the method provided in the foregoing embodiment, and its implementation principle and technical effects are similar, and are not described herein again.

The above modules may be one or more integrated circuits configured to implement the above methods, for example: one or more application specific integrated circuits (Application Specific Integrated Circuit, abbreviated as ASIC), or one or more microprocessors (Digital Signal Processor, abbreviated as DSP), or one or more field programmable gate arrays (Field Programmable Gate Array, abbreviated as FPGA), or the like. For another example, when a module above is implemented in the form of a processing element scheduler code, the processing element may be a general-purpose processor, such as a central processing unit (Central Processing Unit, CPU) or other processor that may invoke the program code. For another example, the modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).

Fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application, as shown in fig. 8, the electronic device may include: aprocessor 801, astorage medium 802, and abus 803, thestorage medium 802 storing machine-readable instructions executable by theprocessor 801, theprocessor 801 executing machine-readable instructions to perform the steps of the method embodiments described above when the electronic device is operating, by communicating between theprocessor 801 and thestorage medium 802 via thebus 803. The specific implementation manner and the technical effect are similar, and are not repeated here.

Optionally, the present application further provides a computer readable storage medium, on which a computer program is stored, which when being executed by a processor performs the steps of the above-described method embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.

The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (english: processor) to perform part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: u disk, mobile hard disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk, etc.

It should be noted that in this document, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the same, but rather, various modifications and variations may be made by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application. It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the same, but rather, various modifications and variations may be made by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. A method of data exploration, the method comprising:

2. The method of claim 1, wherein generating probe sentences corresponding to each probe task from a pre-created probe template and the probe task file comprises:

3. The method according to claim 2, wherein the generating a probe sentence corresponding to each probe task according to the probe sentence template corresponding to each probe task and the probe object included in each probe task includes:

4. The method of claim 1, wherein generating a probe task file from the probe information comprises:

5. The method of claim 4, wherein after executing the probe statement corresponding to each of the probe tasks to obtain the probe result of each of the probe tasks, the method further comprises:

6. The method according to any one of claims 1-5, further comprising:

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

8. A data exploration apparatus, said apparatus comprising:

9. An electronic device, comprising: a processor, a storage medium and a bus, the storage medium storing machine-readable instructions executable by the processor, the processor and the storage medium communicating over the bus when the electronic device is operating, the processor executing the machine-readable instructions to perform the steps of the data exploration method of any of claims 1 to 7.

10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when executed by a processor, performs the steps of the data exploration method according to any of the claims 1-7.