CN111209307A - Data dynamic classification processing method and device, terminal equipment and storage medium - Google Patents
Data dynamic classification processing method and device, terminal equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a data dynamic classification processing method and device, terminal equipment and a storage medium, and belongs to the technical field of data processing. The invention also discloses a subject II and a subject III (all the remaining subjects are listed). The invention determines a plurality of corresponding target classification conditions according to the condition selection instruction, dynamically assembles the query statement based on the target classification conditions, searches corresponding target business data from a business database according to the query statement, and generates a corresponding classification processing result based on the target business data, thereby loosely coupling the business data with the data classification and reducing the difficulty of data classification processing.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method and an apparatus for dynamically classifying and processing data, a terminal device, and a storage medium.
Background
Financial data often has characteristics such as data volume variety is many, data meaning is abundant, demand uncertainty. In the long-term financial technology development process, asset business data collection is generally divided into dimensions such as transaction, position taking, asset and bargain in a data table mode, after the data collection is divided in a fixed table mode, the data can keep clear dimensions and simultaneously can meet business processing requirements in the transaction process, but when the requirements of inquiry and report forms of different scenes and different customers are met, due to the fact that the customer and the requirement coupling degree is very high, the requirements of the customers need to be subjected to the processes of requirement improvement, requirement analysis, coding realization, testing, version issuing and the like every time, and the difficulty of data classification processing is high.
Disclosure of Invention
The invention mainly aims to provide a data dynamic classification processing method, a data dynamic classification processing device, terminal equipment and a storage medium, and aims to solve the technical problem that in the prior art, the data classification processing difficulty is high due to the fact that the client and demand coupling degree is very high.
In order to achieve the above object, the present invention provides a data dynamic classification processing method, which comprises the following steps:
when a condition selection instruction input by a user is received, determining a plurality of corresponding target classification conditions according to the condition selection instruction;
dynamically assembling query statements based on the target classification conditions;
searching corresponding target business data from a business database according to the query statement;
and generating a corresponding classification processing result based on the target service data.
Optionally, the dynamically assembling the query statement based on the target classification condition includes:
and dynamically assembling SQL sentences based on the target classification conditions, and taking the SQL sentences as query sentences.
Optionally, the dynamically assembling the SQL statement based on the target classification condition includes:
and dynamically assembling the SQL sentences based on the target classification conditions and the target logical relationship.
Optionally, the dynamically assembling the SQL statement based on the target classification condition and the target logical relationship includes:
and dynamically assembling the SQL sentences through a parent-child structure mode based on the target classification conditions and the target logical relations.
Optionally, when a condition selection instruction input by a user is received, determining a plurality of corresponding target classification conditions according to the condition selection instruction includes:
when a condition selection instruction input by a user is received, determining a plurality of corresponding target classification conditions and a target logic relationship among the target classification conditions according to the condition selection instruction.
Optionally, when a condition selection instruction input by a user is received, determining, according to the condition selection instruction, a plurality of corresponding target classification conditions and a target logical relationship between the target classification conditions, includes:
when a condition selection instruction input by a user based on a condition selection interface is received, determining a plurality of corresponding target classification conditions and a target logic relationship among the target classification conditions according to the condition selection instruction.
Optionally, before the determining, according to the condition selection instruction, a plurality of corresponding target classification conditions and a target logical relationship between the target classification conditions when the condition selection instruction input by the user based on the condition selection interface is received, the data dynamic classification processing method further includes:
displaying a condition selection interface, wherein the condition selection interface comprises classification components corresponding to a plurality of classification conditions and logic components corresponding to a plurality of logic relationships;
when a condition selection instruction input by a user based on a condition selection interface is received, determining a plurality of corresponding target classification conditions and a target logic relationship among the target classification conditions according to the condition selection instruction, wherein the method comprises the following steps:
when a condition selection instruction input by a user based on a classification component and a logic component in a condition selection interface is received, determining a plurality of corresponding target classification conditions and a target logic relationship among the target classification conditions according to the condition selection instruction.
In addition, in order to achieve the above object, the present invention further provides a data dynamic classification processing apparatus, including:
the condition determining module is used for determining a plurality of corresponding target classification conditions according to a condition selecting instruction input by a user when the condition selecting instruction is received;
the statement assembling module is used for dynamically assembling query statements based on the target classification conditions;
the data searching module is used for searching corresponding target business data from a business database according to the query statement;
and the result generation module is used for generating a corresponding classification processing result based on the target service data.
In addition, to achieve the above object, the present invention also provides a terminal device, including: the data dynamic classification processing program is configured to realize the steps of the data dynamic classification processing method.
In addition, to achieve the above object, the present invention further provides a computer readable storage medium, on which a data dynamic classification processing program is stored, and when the data dynamic classification processing program is executed by a processor, the data dynamic classification processing program implements the steps of the data dynamic classification processing method as described above.
The invention determines a plurality of corresponding target classification conditions according to the condition selection instruction, dynamically assembles the query statement based on the target classification conditions, searches corresponding target business data from a business database according to the query statement, and generates a corresponding classification processing result based on the target business data, thereby loosely coupling the business data with the data classification and reducing the difficulty of data classification processing.
Drawings
FIG. 1 is a schematic flow chart illustrating a dynamic data classification method according to a first embodiment of the present invention;
FIG. 2 is a flowchart illustrating a second embodiment of a data dynamic classification processing method according to the present invention;
FIG. 3 is a block diagram of an embodiment of a data dynamic classification processing apparatus according to the invention;
fig. 4 is a schematic structural diagram of a terminal device in a hardware operating environment according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a flowchart illustrating a data dynamic classification processing method according to a first embodiment of the present invention.
In a first embodiment, the data dynamic classification processing method includes the following steps:
s10: when a condition selection instruction input by a user is received, determining a plurality of corresponding target classification conditions according to the condition selection instruction.
In a specific implementation, the condition selection instruction may be input through a user interface such as a keyboard, a mouse, or a touch screen, and may also be input through other manners, which is not limited in this embodiment.
It should be noted that, as for the classification condition, it is selected by the user according to the needs, for example: and some users need to preset a profit curve of the fund in the last half year, at the moment, the condition selection instruction corresponds to three classification conditions, the first classification condition is the date of the last half year, the second classification condition is the preset fund, the third classification condition is the profit curve, and at the moment, the three classification conditions can be used as corresponding target classification conditions.
S20: and dynamically assembling the query statement based on the target classification condition.
In a specific implementation, in order to ensure that corresponding target service data is directly searched from a service database, in this embodiment, a query statement needs to be generated based on a plurality of target classification conditions.
S30: and searching corresponding target business data from a business database according to the query statement.
It can be understood that after the query statement is assembled, the service database can be searched according to the query statement, and the corresponding target service data can be searched from the service database.
S40: and generating a corresponding classification processing result based on the target service data.
It should be understood that, for the target service data, the processing similar to the standardized format may be performed on the target service data, so as to generate the classification processing result conforming to the preset format, that is, when generating the corresponding classification processing result, how the target service data is obtained and how much target service data is, only whether the target service data meets the result generation condition needs to be concerned, and when the target service data meets the result generation condition, the corresponding classification processing result may be generated based on the target service data.
In this embodiment, a plurality of corresponding target classification conditions are determined according to the condition selection instruction, query statements are dynamically assembled based on the target classification conditions, corresponding target service data are searched from a service database according to the query statements, and corresponding classification processing results are generated based on the target service data, so that the service data and the data are classified and loosely coupled, and the difficulty of data classification processing is reduced.
As shown in fig. 2, a second embodiment of the data dynamic classification processing method according to the present invention is proposed based on the first embodiment, in this embodiment, step S20 includes:
s21: and dynamically assembling SQL sentences based on the target classification conditions, and taking the SQL sentences as query sentences.
It can be understood that after the target classification condition is determined, query statements can be dynamically assembled based on the target classification condition, and certainly, since a business database generally adopts an SQL database, in this embodiment, SQL statements can be dynamically assembled based on the target classification condition and used as query statements.
It should be noted that, for many target classification conditions, which have different logical relationships, in this embodiment, the SQL statements may be dynamically assembled based on the target classification conditions and the target logical relationships.
It is understood that the logical relationship can be generally classified as logical relationships such as "and", "or", "not", and if there are three target classification conditions, the classification conditions are classified as a classification condition a, a classification condition B and a classification condition C, the classification condition a and the classification condition B are in an "or" relationship, and the classification condition a, the classification condition B and the classification condition C are in an "and" relationship.
In this embodiment, when a condition selection instruction input by a user is received, a plurality of corresponding target classification conditions and a target logical relationship between the target classification conditions are determined according to the condition selection instruction, that is, when the user inputs the condition selection instruction, the target logical relationship can be set at the same time.
In order to facilitate the user to select the target classification condition and the target logical relationship, in this embodiment, a condition selection interface may be first displayed, where the condition selection interface includes classification components corresponding to a plurality of classification conditions and logical components corresponding to a plurality of logical relationships.
When a condition selection instruction is input by a user, when the condition selection instruction input by the user based on the classification component and the logic component in the condition selection interface is received, the corresponding target classification conditions and the target logic relationship among the target classification conditions are determined according to the condition selection instruction, that is, the user can select the corresponding target classification conditions based on the classification component in the condition selection interface and select the corresponding logic relationship based on the logic component in the condition selection interface.
In addition, an embodiment of the present invention further provides a data dynamic classification processing apparatus, and referring to fig. 3, the data dynamic classification processing apparatus includes:
the condition determining module 10 is configured to determine, when a condition selection instruction input by a user is received, a plurality of corresponding target classification conditions according to the condition selection instruction;
a sentence assembling module 20, configured to dynamically assemble query sentences based on the target classification conditions;
the data searching module 30 is configured to search corresponding target service data from a service database according to the query statement;
and the result generation module 40 is used for generating a corresponding classification processing result based on the target business data.
According to the scheme, the corresponding target classification conditions are determined according to the condition selection instruction, the query statement is dynamically assembled based on the target classification conditions, the corresponding target business data is searched from the business database according to the query statement, and the corresponding classification processing result is generated based on the target business data, so that the business data and the data are classified and loosely coupled, and the difficulty of data classification processing is reduced.
It should be noted that each module in the apparatus may be configured to implement each step in the method, and achieve the corresponding technical effect, which is not described herein again.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a terminal device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 4, the terminal device may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
In a specific implementation, the terminal device is an electronic device such as a PC, a notebook computer, or a tablet computer, which is not limited in this embodiment.
Those skilled in the art will appreciate that the configuration shown in fig. 4 does not constitute a limitation of the terminal device and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 4, the memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a data dynamic classification processing program.
In the terminal device shown in fig. 4, the network interface 1004 is mainly used for data communication with an external network; the user interface 1003 is mainly used for receiving input instructions of a user; the terminal device calls the data dynamic classification processing program stored in the memory 1005 through the processor 1001, and executes the following operations:
when a condition selection instruction input by a user is received, determining a plurality of corresponding target classification conditions according to the condition selection instruction;
dynamically assembling query statements based on the target classification conditions;
searching corresponding target business data from a business database according to the query statement;
and generating a corresponding classification processing result based on the target service data.
Further, the processor 1001 may call the data dynamic classification processing program stored in the memory 1005, and also execute other steps in the data dynamic classification processing method, and achieve corresponding technical effects, which is not described herein again in this embodiment.
According to the scheme, the corresponding target classification conditions are determined according to the condition selection instruction, the query statement is dynamically assembled based on the target classification conditions, the corresponding target business data is searched from the business database according to the query statement, and the corresponding classification processing result is generated based on the target business data, so that the business data and the data are classified and loosely coupled, and the difficulty of data classification processing is reduced.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system 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 system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A data dynamic classification processing method is characterized by comprising the following steps:
when a condition selection instruction input by a user is received, determining a plurality of corresponding target classification conditions according to the condition selection instruction;
dynamically assembling query statements based on the target classification conditions;
searching corresponding target business data from a business database according to the query statement;
and generating a corresponding classification processing result based on the target service data.
2. The dynamic data classification processing method according to claim 1, wherein the dynamically assembling query statements based on the target classification conditions comprises:
and dynamically assembling SQL sentences based on the target classification conditions, and taking the SQL sentences as query sentences.
3. The dynamic data classification processing method according to claim 2, wherein the dynamically assembling SQL statements based on the target classification conditions comprises:
and dynamically assembling the SQL sentences based on the target classification conditions and the target logical relationship.
4. The dynamic data classification processing method according to claim 3, wherein the dynamically assembling SQL statements based on the target classification conditions and the target logical relationships comprises:
and dynamically assembling the SQL sentences through a parent-child structure mode based on the target classification conditions and the target logical relations.
5. The method for dynamically classifying and processing data according to claim 3, wherein when a condition selection instruction input by a user is received, determining a plurality of corresponding target classification conditions according to the condition selection instruction comprises:
when a condition selection instruction input by a user is received, determining a plurality of corresponding target classification conditions and a target logic relationship among the target classification conditions according to the condition selection instruction.
6. The method for dynamically classifying and processing data according to claim 5, wherein the determining, when a condition selection instruction input by a user is received, a plurality of target classification conditions and target logical relationships between the target classification conditions according to the condition selection instruction comprises:
when a condition selection instruction input by a user based on a condition selection interface is received, determining a plurality of corresponding target classification conditions and a target logic relationship among the target classification conditions according to the condition selection instruction.
7. The method according to claim 6, wherein before determining the corresponding target classification conditions and the target logical relationship between the target classification conditions according to the condition selection instruction when receiving the condition selection instruction input by the user based on the condition selection interface, the method further comprises:
displaying a condition selection interface, wherein the condition selection interface comprises classification components corresponding to a plurality of classification conditions and logic components corresponding to a plurality of logic relationships;
when a condition selection instruction input by a user based on a condition selection interface is received, determining a plurality of corresponding target classification conditions and a target logic relationship among the target classification conditions according to the condition selection instruction, wherein the method comprises the following steps:
when a condition selection instruction input by a user based on a classification component and a logic component in a condition selection interface is received, determining a plurality of corresponding target classification conditions and a target logic relationship among the target classification conditions according to the condition selection instruction.
8. A dynamic data classification processing device, characterized in that the dynamic data classification processing device comprises:
the condition determining module is used for determining a plurality of corresponding target classification conditions according to a condition selecting instruction input by a user when the condition selecting instruction is received;
the statement assembling module is used for dynamically assembling query statements based on the target classification conditions;
the data searching module is used for searching corresponding target business data from a business database according to the query statement;
and the result generation module is used for generating a corresponding classification processing result based on the target service data.
9. A terminal device, characterized in that the terminal device comprises: a memory, a processor and a dynamic data classification processing program stored on the memory and executable on the processor, the dynamic data classification processing program being configured to implement the steps of the dynamic data classification processing method according to any one of claims 1 to 7.
10. A computer-readable storage medium, wherein the computer-readable storage medium has a data dynamic classification processing program stored thereon, and when the data dynamic classification processing program is executed by a processor, the steps of the data dynamic classification processing method according to any one of claims 1 to 7 are implemented.
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| US20060106766A1 (en) * | 2004-11-12 | 2006-05-18 | International Business Machines Corporation | Method, system and program product for rewriting structured query language (SQL) statements |
| WO2018095351A1 (en) * | 2016-11-28 | 2018-05-31 | 中兴通讯股份有限公司 | Method and device for search processing |
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