CN116775633A - Data deleting method and device, storage medium and electronic equipment - Google Patents
Data deleting method and device, storage medium and electronic equipment Download PDFInfo
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Abstract
The application provides a data deleting method, a device, a storage medium and electronic equipment, which can be applied to the field of big data or the field of finance, wherein a data table to be detected is determined in response to repeated data detection instructions; detecting whether a plurality of same field data corresponding to a repeated detection field exists in the data table, wherein the repeated detection field is determined based on the service type of the data table; under the condition that a plurality of same field data corresponding to the repeated detection field exist in the data table, selecting target business process data from business process data to which each field data belongs; and deleting the business process data except the target business process data in the data table. By applying the method provided by the embodiment of the application, the uniqueness of the service data can be ensured.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a data deleting method, a data deleting device, a storage medium, and an electronic device.
Background
At present, the table primary key in the database is usually a field without business meaning, so that when business operation is performed on table data in the database, a situation that one business process data is written into a plurality of pieces often occurs, the data is not unique, and the next business processing link cannot be performed on the business process data.
Disclosure of Invention
The application aims to provide a data deleting method which can ensure the uniqueness of service data.
The application also provides a data deleting device which is used for ensuring the realization and the application of the method in practice.
A data deletion method comprising:
determining a data table to be detected in response to the repeated data detection instruction;
detecting whether a plurality of same field data corresponding to a repeated detection field exists in the data table, wherein the repeated detection field is determined based on the service type of the data table;
under the condition that a plurality of same field data corresponding to the repeated detection field exist in the data table, selecting target business process data from business process data to which each field data belongs;
and deleting the business process data except the target business process data in the data table.
The method, optionally, selecting the target business process data from the business process data to which each field data belongs, includes:
determining the data identifier of the business process data to which each field data belongs, wherein the data identifier of each business process data represents the storage position of the business process data in the data table;
and determining target business process data in each business process data according to the data identification of each business process data.
The method, optionally, selecting the target business process data from the business process data to which each field data belongs, includes:
storing the business process data of each field data into a backup table corresponding to the data table;
and after each business process data is successfully stored in the backup table corresponding to the data table, selecting target business process data from the business process data to which each field data belongs.
The above method, optionally, further includes, after each business process data is successfully stored in a backup table corresponding to the data table:
outputting the backup table, so that a user determines the exception types corresponding to the plurality of identical field data based on the backup table.
The above method, optionally, the detecting whether the data table has a plurality of identical business process data corresponding to the duplicate detection field includes:
obtaining a repeated detection field corresponding to a table identifier of the data table from a preset configuration file;
detecting whether a plurality of identical field data corresponding to the repetition detection field exists in the data table.
A data deletion apparatus comprising:
a determining unit configured to determine a data table to be detected in response to the repeated data detection instruction;
a detection unit, configured to detect whether a plurality of identical field data corresponding to a repetition detection field exists in the data table, where the repetition detection field is determined based on a service type of the data table;
a selecting unit, configured to select, when detecting that a plurality of identical field data corresponding to the repetition detection field exist in the data table, target business process data from business process data to which each field data belongs;
and the execution unit is used for deleting the business process data except the target business process data in the data table.
The above device, optionally, the selecting unit includes:
a first determining subunit, configured to determine a data identifier of the business process data to which each field data belongs, where the data identifier of each business process data characterizes a storage location of the business process data in the data table;
and the first selecting subunit is used for selecting target business process data from the business process data according to the data identification of each business process data.
The above device, optionally, the selecting unit includes:
a backup subunit, configured to store, in a backup table corresponding to the data table, service flow data to which each field data belongs;
and the second selecting subunit is used for selecting target business process data from the business process data to which each field data belongs after each business process data is successfully stored in the backup table corresponding to the data table.
A storage medium comprising stored instructions, wherein the instructions, when executed, control a device on which the storage medium resides to perform a data deletion method as described above.
An electronic device comprising a memory, and one or more instructions, wherein the one or more instructions are stored in the memory and configured to perform a data deletion method as described above by one or more processors.
Based on the data deleting method, the device, the storage medium and the electronic equipment provided by the embodiment of the application, the method comprises the following steps: determining a data table to be detected in response to the repeated data detection instruction; detecting whether a plurality of same field data corresponding to a repeated detection field exists in the data table, wherein the repeated detection field is determined based on the service type of the data table; under the condition that a plurality of same field data corresponding to the repeated detection field exist in the data table, selecting target business process data from business process data to which each field data belongs; and deleting the business process data except the target business process data in the data table. By applying the method provided by the embodiment of the application, the uniqueness of the data can be ensured, and the data redundancy is avoided.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present application, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for deleting data;
FIG. 2 is a flow chart of a process for desensitizing sensitive fields in accordance with the present application;
FIG. 3 is a flow chart of a process for generating a target data file according to the present application;
fig. 4 is a schematic structural diagram of a data deleting device provided by the present application;
fig. 5 is a schematic structural diagram of an electronic device according to the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In the present disclosure, 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.
At present, the table primary key in the database is usually a field without business meaning, so that when business operation is performed on table data in the database, a situation that one business process data is written into a plurality of pieces due to network delay or shade problem often occurs, data redundancy is caused, and when updating is performed according to specific fields of some business process data, errors are reported due to the fact that unique items cannot be locked, so that the next business process data cannot be normally processed.
Based on this, an embodiment of the present application provides a data deletion method, which may be applied to an electronic device, where a method flowchart of the method is shown in fig. 1, and specifically includes:
s101: in response to the duplicate data detection instruction, a data table to be detected is determined.
In this embodiment, the repeated data detection instruction may be an instruction triggered under the condition that there is a repeated data detection requirement, where the repeated data detection instruction may be triggered by a user clicking a preset button or a virtual control, or may be triggered by an application program in an automatic running process.
Optionally, the repeated data detection instruction may be parsed to obtain instruction information, a data table to be detected is determined in the data table set according to a table identifier in the instruction information, the number of the data tables to be detected may be one or more, and the data table set may be a database.
In this embodiment, the data table includes a plurality of business process data, each including at least one field data.
S102: detecting whether a plurality of identical field data corresponding to a repetition detection field exists in the data table, wherein the repetition detection field is determined based on the service type of the data table.
In this embodiment, the table identifier and the repetition detection field of the data table are stored in the configuration file in advance; for different service types of the data table, the data table may be detected by using a repetition detection field matched with an attribute of the service flow data stored in the data table of the service type, where the repetition detection field may be one or more of a client number field, a serial number field, and the like.
For example, if the service type of the data table is a contract service type, the serial number field may be used as a duplicate detection field, where the serial number field is used to represent a contract serial number; the service type of the data table is a client information processing service type, and at least one of a client number field and a serial number field can be used as a repetition detection field.
Alternatively, the duplicate detection field may be a field for updating flow data in a data table.
S103: and selecting target business process data from business process data to which each field data belongs when detecting that a plurality of same field data corresponding to the repeated detection field exists in the data table.
In this embodiment, the target business process data may be selected according to the ordering of the business process data to which each field data belongs in the data table; the business process data to which any field data belongs can also be selected as target business process data.
Optionally, under the condition that the timeliness requirement level of the service data is the first level, selecting the target service flow data according to the sequence of storing the service flow data of each field data into the data table; and under the condition that the timeliness requirement level of the business data is a second level, the business process data to which any field data belongs can be selected as target business process data, wherein the first level is higher than the second level.
S104: and deleting the business process data except the target business process data in the data table.
In this embodiment, the target business process data in the business process data to which the same field data belongs may be retained in the data table, and the process data other than the target business process data in the business process data to which the same field data belongs may be deleted, so that the uniqueness of the data may be effectively ensured.
After deleting the business process data except the target business process data in the data table, the data table can be sent to the next business processing link for processing.
By applying the method provided by the application, the repeated detection field can be determined through the service type of the data table, then the data table is detected according to the repeated detection field to determine whether repeated data exist in the data table, if so, the service flow data except the target service flow data in the data table are deleted, so that the data uniqueness is ensured, the data redundancy is avoided, and the error reporting caused by the fact that the uniqueness item cannot be locked is avoided, so that the data table can normally enter the next service processing link.
In an embodiment of the present application, based on the implementation process, optionally, the process of selecting the target business process data from the business process data to which each field data belongs, as shown in fig. 2, includes:
s201: and determining the data identifier of the business process data to which each field data belongs, wherein the data identifier of each business process data represents the storage position of the business process data in the data table.
In this embodiment, the data identification may be an address identification, for example, may be a pseudo column rowid in a database.
S202: and determining target business process data in each business process data according to the data identification of each business process data.
In this embodiment, the target business process data may be determined in each business process data according to the size of the data identifier of each business process data, where the target business process data may be the process data with the largest data identifier in each business process data, or may be the process data with the smallest data identifier in each business process data. The target business process data can be rapidly and accurately determined from the business process data of the data table.
In an embodiment of the present application, based on the implementation process, optionally, selecting the target business process data from the business process data to which each field data belongs includes:
storing the business process data of each field data into a backup table corresponding to the data table;
and after each business process data is successfully stored in the backup table corresponding to the data table, selecting target business process data from the business process data to which each field data belongs.
In this embodiment, the process of storing the business process data to which each field data belongs in the backup table corresponding to the data table may include: determining whether a backup table corresponding to the data table exists currently, if not, establishing the backup table corresponding to the data table, and storing the business process data into the currently established backup table; if the business process data exist, the business process data can be directly stored in a backup table corresponding to the data table.
Optionally, the business process data with repeated field data is backed up, so that the user can conveniently analyze the abnormality based on the backup table, and the abnormality can be rapidly solved.
In an embodiment of the present application, based on the implementation process, optionally, after each business process data is successfully stored in a backup table corresponding to the data table, the method further includes:
outputting the backup table, so that a user determines the exception types corresponding to the plurality of identical field data based on the backup table.
In this embodiment, the anomaly type may be a network delay anomaly or a mask anomaly, or the like.
In some embodiments, after determining, based on the backup table, the exception types corresponding to the plurality of identical field data, if the exception types are repairable exception types, if a repair request sent by the user is received, repairing the exception of the exception types based on repair operation information in the repair request.
In an embodiment of the present application, based on the foregoing implementation process, optionally, the process of detecting whether there are a plurality of identical business process data corresponding to the duplicate detection field in the data table, as shown in fig. 3, includes:
s301: and obtaining a repeated detection field corresponding to the table identifier of the data table from a preset configuration file.
In this embodiment, the configuration file records the mapping relationship between the identifiers of multiple tables and the duplicate detection field, and the configuration file may be queried by the table identifier of the data table to be detected, to obtain the duplicate detection field corresponding to the table identifier.
S302: detecting whether a plurality of identical field data corresponding to the repetition detection field exists in the data table.
In this embodiment, the mapping relationship between the identifier of the configuration file storage table and the duplicate detection field can be used to obtain the duplicate detection field from the configuration file conveniently and quickly through the table identifier.
In some embodiments, the duplicate detection field corresponding to each table may be determined in advance according to the service type of each table in the database, and then the identifier of each table and the duplicate detection field are stored in the configuration file in correspondence; after receiving the repeated data detection instruction, determining a data table to be detected in each table in response to the repeated data detection instruction, inquiring a configuration file according to a table identifier of the data table to be detected, obtaining a repeated detection field corresponding to the table identifier, and detecting whether a plurality of identical field data corresponding to the repeated detection field exist in the data table; under the condition that a plurality of same field data corresponding to the repeated detection field exist in the data table, selecting target business process data from business process data to which each field data belongs; and deleting the business process data except the target business process data in the data table.
In this embodiment, a configuration file may be created first, where the configuration file includes a repeated data field configuration table, and the configuration table defines a table and a field for deleting row data, and is specifically shown in table 1:
TABLE 1
After creating the repeated data field configuration table, the repeated data field configuration table may be initialized, where the initialized repeated data field configuration table is shown in table 2:
| table_name | colname |
| table1 | custno |
| table2 | cntno,flno |
TABLE 2
After initializing the repeated data field configuration table, the program can be written to realize the backup and deletion of the repeated data based on the repeated data field table. Because the fields in the repeated data field configuration table can be changed, the variable splicing can be obtained by using the dynamic SQL through the program, and the realization is flexible and convenient.
Corresponding to the method shown in fig. 1, the embodiment of the present application further provides a data deleting device, which is used for implementing the method in fig. 1, where the data deleting device provided in the embodiment of the present application may be applied to an electronic device, and the structural schematic diagram of the data deleting device is shown in fig. 4, and specifically includes:
a determining unit 401 for determining a data table to be detected in response to the repeated data detection instruction;
a detecting unit 402, configured to detect whether a plurality of identical field data corresponding to a repetition detection field exists in the data table, where the repetition detection field is determined based on a service type of the data table;
a selecting unit 403, configured to select, when detecting that there are a plurality of identical field data corresponding to the repetition detection field in the data table, target business process data from business process data to which each of the field data belongs;
and an execution unit 404, configured to delete the business process data except the target business process data in the data table.
In an embodiment of the present application, based on the implementation process described above, the optional selecting unit 403 includes:
a first determining subunit, configured to determine a data identifier of the business process data to which each field data belongs, where the data identifier of each business process data characterizes a storage location of the business process data in the data table;
and the first selecting subunit is used for selecting target business process data from the business process data according to the data identification of each business process data.
In an embodiment of the present application, based on the implementation process, optionally, the selecting unit includes:
a backup subunit, configured to store, in a backup table corresponding to the data table, service flow data to which each field data belongs;
and the second selecting subunit is used for selecting target business process data from the business process data to which each field data belongs after each business process data is successfully stored in the backup table corresponding to the data table.
In an embodiment of the present application, based on the above solution, specifically, the data deleting device further includes:
and the output unit is used for outputting the backup table so that a user determines the abnormal types corresponding to the plurality of same field data based on the backup table.
In an embodiment of the present application, based on the above-mentioned scheme, specifically, the detection unit includes:
an obtaining subunit, configured to obtain, in a preset configuration file, a duplicate detection field corresponding to a table identifier of the data table;
and the detection subunit is used for detecting whether a plurality of identical field data corresponding to the repeated detection field exist in the data table.
The specific principle and execution process of each unit and module in the data deleting device disclosed in the above embodiment of the present application are the same as those of the data deleting method disclosed in the above embodiment of the present application, and may refer to the corresponding parts in the data deleting method provided in the above embodiment of the present application, which are not repeated herein.
The embodiment of the application also provides a storage medium, which comprises stored instructions, wherein the equipment where the storage medium is located is controlled to execute the data deleting method when the instructions run.
The embodiment of the present application further provides an electronic device, whose structural schematic diagram is shown in fig. 5, specifically including a memory 501, and one or more instructions 502, where the one or more instructions 502 are stored in the memory 501, and configured to be executed by the one or more processors 503, where the one or more instructions 502 perform the following operations:
determining a data table to be detected in response to the repeated data detection instruction;
detecting whether a plurality of same field data corresponding to a repeated detection field exists in the data table, wherein the repeated detection field is determined based on the service type of the data table;
under the condition that a plurality of same field data corresponding to the repeated detection field exist in the data table, selecting target business process data from business process data to which each field data belongs;
and deleting the business process data except the target business process data in the data table.
It should be noted that the data deleting method, the device, the storage medium and the electronic equipment provided by the application can be used in the big data field or the financial field. The foregoing is merely an example, and the application fields of the data deleting method, the device, the storage medium and the electronic device provided by the present application are not limited.
It should be noted that, in the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described as different from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other. For the apparatus class embodiments, the description is relatively simple as it is substantially similar to the method embodiments, and reference is made to the description of the method embodiments for relevant points.
Finally, it is further noted that 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.
For convenience of description, the above devices are described as being functionally divided into various units, respectively. Of course, the functions of each element may be implemented in the same piece or pieces of software and/or hardware when implementing the present application.
From the above description of embodiments, it will be apparent to those skilled in the art that the present application may be implemented in software plus a necessary general hardware platform. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the embodiments or some parts of the embodiments of the present application.
The foregoing has described in detail a data deletion method provided by the present application, and specific examples have been employed herein to illustrate the principles and embodiments of the present application, the above examples being provided only to assist in understanding the method and core idea of the present application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (10)
1. A method of deleting data, comprising:
determining a data table to be detected in response to the repeated data detection instruction;
detecting whether a plurality of same field data corresponding to a repeated detection field exists in the data table, wherein the repeated detection field is determined based on the service type of the data table;
under the condition that a plurality of same field data corresponding to the repeated detection field exist in the data table, selecting target business process data from business process data to which each field data belongs;
and deleting the business process data except the target business process data in the data table.
2. The method according to claim 1, wherein selecting the target business process data among the business process data to which each of the field data belongs comprises:
determining the data identifier of the business process data to which each field data belongs, wherein the data identifier of each business process data represents the storage position of the business process data in the data table;
and determining target business process data in each business process data according to the data identification of each business process data.
3. The method according to claim 1, wherein selecting the target business process data among the business process data to which each of the field data belongs comprises:
storing the business process data of each field data into a backup table corresponding to the data table;
and after each business process data is successfully stored in the backup table corresponding to the data table, selecting target business process data from the business process data to which each field data belongs.
4. The method of claim 3, further comprising, after successfully storing each of the business process data to a backup table corresponding to the data table:
outputting the backup table, so that a user determines the exception types corresponding to the plurality of identical field data based on the backup table.
5. The method of claim 1, wherein the detecting whether the plurality of identical business process data corresponding to the duplicate detection field exists in the data table comprises:
obtaining a repeated detection field corresponding to a table identifier of the data table from a preset configuration file;
detecting whether a plurality of identical field data corresponding to the repetition detection field exists in the data table.
6. A data deleting apparatus, comprising:
a determining unit configured to determine a data table to be detected in response to the repeated data detection instruction;
a detection unit, configured to detect whether a plurality of identical field data corresponding to a repetition detection field exists in the data table, where the repetition detection field is determined based on a service type of the data table;
a selecting unit, configured to select, when detecting that a plurality of identical field data corresponding to the repetition detection field exist in the data table, target business process data from business process data to which each field data belongs;
and the execution unit is used for deleting the business process data except the target business process data in the data table.
7. The apparatus of claim 6, wherein the selecting unit comprises:
a first determining subunit, configured to determine a data identifier of the business process data to which each field data belongs, where the data identifier of each business process data characterizes a storage location of the business process data in the data table;
and the first selecting subunit is used for selecting target business process data from the business process data according to the data identification of each business process data.
8. The apparatus of claim 6, wherein the selection unit comprises:
a backup subunit, configured to store, in a backup table corresponding to the data table, service flow data to which each field data belongs;
and the second selecting subunit is used for selecting target business process data from the business process data to which each field data belongs after each business process data is successfully stored in the backup table corresponding to the data table.
9. A storage medium comprising stored instructions, wherein the instructions, when executed, control a device in which the storage medium is located to perform the data deletion method of any one of claims 1-5.
10. An electronic device comprising a memory and one or more instructions, wherein the one or more instructions are stored in the memory and configured to perform the data deletion method of any one of claims 1-5 by one or more processors.
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| CN202310757952.7A CN116775633A (en) | 2023-06-26 | 2023-06-26 | Data deleting method and device, storage medium and electronic equipment |
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