CN115941712B - Method and device for processing report data, computer equipment and storage medium - Google Patents
Method and device for processing report data, computer equipment and storage medium Download PDFInfo
- Publication number
- CN115941712B CN115941712B CN202211568731.7A CN202211568731A CN115941712B CN 115941712 B CN115941712 B CN 115941712B CN 202211568731 A CN202211568731 A CN 202211568731A CN 115941712 B CN115941712 B CN 115941712B
- Authority
- CN
- China
- Prior art keywords
- target
- report
- database
- data
- report data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012545 processing Methods 0.000 title claims abstract description 62
- 238000000034 method Methods 0.000 title claims abstract description 51
- 238000013508 migration Methods 0.000 claims abstract description 22
- 230000005012 migration Effects 0.000 claims abstract description 22
- 238000012216 screening Methods 0.000 claims abstract description 21
- 230000008520 organization Effects 0.000 claims abstract description 13
- 230000002159 abnormal effect Effects 0.000 claims description 44
- 230000007246 mechanism Effects 0.000 claims description 34
- 238000004891 communication Methods 0.000 claims description 33
- 238000012795 verification Methods 0.000 claims description 33
- 230000001105 regulatory effect Effects 0.000 claims description 13
- 238000003672 processing method Methods 0.000 claims description 5
- 238000005516 engineering process Methods 0.000 abstract description 20
- 230000008569 process Effects 0.000 description 9
- 238000013473 artificial intelligence Methods 0.000 description 5
- 230000006835 compression Effects 0.000 description 5
- 238000007906 compression Methods 0.000 description 5
- 230000005856 abnormality Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000012163 sequencing technique Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 230000003993 interaction Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000010606 normalization Methods 0.000 description 2
- 230000008439 repair process Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003058 natural language processing Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The embodiment of the application belongs to the field of big data, and relates to a method for processing reported data, which comprises the following steps: acquiring metadata of a reporting table in a first database; analyzing and processing the metadata, and determining a target field which accords with a preset quality check condition from a report table; generating a target quality check code corresponding to the target field; executing a target quality check code in the second database, and performing quality check on the report data stored in the second database; screening target report data passing quality check from report data stored in a second database; and sending the target report data report to a preset supervision organization. The application also provides a processing device, computer equipment and storage medium for reporting data. In addition, the application also relates to a blockchain technology, and target report data can be stored in the blockchain. The application improves the processing efficiency and the processing intelligence of the quality check of the report data and ensures the quality of the report data after migration.
Description
Technical Field
The present application relates to the field of big data technologies, and in particular, to a method and an apparatus for processing reported data, a computer device, and a storage medium.
Background
The supervision and report are important means for effectively identifying financial risks and improving the data quality of financial enterprises, and for financial institutions, how to effectively improve the accuracy, the integrity and the timeliness of report data becomes an important subject for supervision and report. In order to ensure the accuracy and the integrity of the data to be reported, the administrator establishes a unified standard specification of a data interface, and financial institutions need to collect and report the data strictly according to format data of standard supervision, otherwise, the problems of false report, missing report and the like are easily caused. Therefore, the financial institution has a complete checking flow for the quality of the report data.
The prior business system database of the group adopts Oracle, the supervision report is also an Oracle data link, and the supervision report data checking is also realized based on Oracle technology. When the supervision report is changed to be realized by a big data link in order to respond to the business requirement of the group, the checking of the report data also needs to be shifted to be realized based on the big data technology. Because Oracle and big data base underlying technologies are very different, the code implementation of data inspection is also very different. Under the data quality verification scene that the report data is migrated to a big data database by Oracle, most of the prior art is based on the data quality requirement of a supervision party, and verification codes are rewritten based on big data technology.
Disclosure of Invention
The embodiment of the application aims to provide a processing method, a device, computer equipment and a storage medium for report data, which are used for solving the technical problems that in the prior art, most of the prior art is based on the data quality requirement of a supervision party and verification codes are rewritten based on a big data technology under the data quality verification scene that report data are migrated from Oracle to a big data database, and the verification rules are numerous and complicated, so that the processing efficiency of the quality verification of report data is lower and the artificial risk of missing writing and mistaking writing is very likely to be caused.
In order to solve the above technical problems, the embodiment of the present application provides a method for processing report data, which adopts the following technical scheme:
Before transferring the reporting data in a first database to a second database, acquiring metadata of a reporting table in the first database;
analyzing and processing the metadata, and determining a target field meeting a preset quality check condition from the report table;
Generating a target quality check code corresponding to the target field; wherein the target quality check code is adapted to the second database;
After the migration of the report data in the first database to the second database is completed, executing the target quality check code in the second database, and performing quality check on the report data stored in the second database;
Screening target report data passing the quality check from the report data stored in the second database;
And sending the target report data report to a preset supervision organization.
Further, the step of generating the target quality check code corresponding to the target field specifically includes:
acquiring target metadata corresponding to the target field;
Determining a target check type corresponding to the target field based on the target metadata;
acquiring a target quality check code template corresponding to the target check type;
Acquiring target verification parameters corresponding to the target verification types from the target metadata;
and constructing the target quality check code corresponding to the target field based on the target check parameter and the target quality check code template.
Further, the step of sending the target report datagram to a preset supervision mechanism specifically includes:
Acquiring communication address information of the supervision mechanism;
acquiring data reporting frequency corresponding to the supervision mechanism;
determining a datagram time period corresponding to the regulatory body;
and transmitting the target reporting data to the supervision organization corresponding to the communication address information based on the data reporting frequency and the data reporting time period.
Further, the step of sending the target report datagram to a preset supervision mechanism specifically includes:
exporting a report file containing the target report data;
compressing the report file to obtain a processed target report file;
and reporting the target report file to the supervision mechanism.
Further, after the step of reporting the target report file to the regulatory agency, the method further includes:
acquiring a file occupation memory value of the target report file;
Judging whether the memory value occupied by the file is larger than a preset memory threshold value or not;
if the target report file is not greater than the memory threshold value, storing the target report file into a preset database;
And if the target report file is larger than the memory threshold, storing the target report file into a blockchain.
Further, the step of storing the target report file in a preset database specifically includes:
Acquiring the number of designated report tables contained in target report data in the target report file;
Judging whether the number is larger than 1;
if yes, classifying the target report data in the target report file into designated report data corresponding to each designated report table respectively;
Dividing the target report file into subfiles corresponding to the specified report tables respectively based on the specified report data;
determining a plurality of target sub-blocks with the same number from a preset block chain;
establishing a one-to-one correspondence between each sub-file and each target sub-block;
and storing all the subfiles into each target subblock correspondingly based on the one-to-one correspondence.
Further, after the migration of the report data in the first database to the second database is completed, executing the target quality check code in the second database, and performing quality check on the report data stored in the second database, the method further includes:
Screening abnormal report data which does not pass the quality check from the report data stored in the second database;
writing the abnormal report data into a preset abnormal report data table;
Generating abnormal early warning information corresponding to the abnormal report data;
acquiring communication contact information of a target user;
And based on the communication contact information, sending the abnormal report data and the abnormal early warning information to the communication equipment of the target user.
In order to solve the above technical problems, the embodiment of the present application further provides a device for processing broadcast data, which adopts the following technical scheme:
The first acquisition module is used for acquiring metadata of the reporting table in the first database before transferring the reporting data in the first database to the second database;
the determining module is used for analyzing and processing the metadata and determining a target field which accords with a preset quality check condition from the report table;
The first generation module is used for generating a target quality check code corresponding to the target field; wherein the target quality check code is adapted to the second database;
The verification module is used for executing the target quality verification code in the second database after the report data in the first database is migrated to the second database, and carrying out quality verification on the report data stored in the second database;
the first screening module is used for screening target report data passing the quality check from the report data stored in the second database;
and the first sending module is used for sending the target report data report to a preset supervision mechanism.
In order to solve the above technical problems, the embodiment of the present application further provides a computer device, which adopts the following technical schemes:
Before transferring the reporting data in a first database to a second database, acquiring metadata of a reporting table in the first database;
analyzing and processing the metadata, and determining a target field meeting a preset quality check condition from the report table;
Generating a target quality check code corresponding to the target field; wherein the target quality check code is adapted to the second database;
After the migration of the report data in the first database to the second database is completed, executing the target quality check code in the second database, and performing quality check on the report data stored in the second database;
Screening target report data passing the quality check from the report data stored in the second database;
And sending the target report data report to a preset supervision organization.
In order to solve the above technical problems, an embodiment of the present application further provides a computer readable storage medium, which adopts the following technical schemes:
Before transferring the reporting data in a first database to a second database, acquiring metadata of a reporting table in the first database;
analyzing and processing the metadata, and determining a target field meeting a preset quality check condition from the report table;
Generating a target quality check code corresponding to the target field; wherein the target quality check code is adapted to the second database;
After the migration of the report data in the first database to the second database is completed, executing the target quality check code in the second database, and performing quality check on the report data stored in the second database;
Screening target report data passing the quality check from the report data stored in the second database;
And sending the target report data report to a preset supervision organization.
Compared with the prior art, the embodiment of the application has the following main beneficial effects:
Before transferring the report data in a first database to a second database, firstly acquiring metadata of a report table in the first database; then analyzing the metadata, and determining a target field which accords with a preset quality check condition from the report table; then generating a target quality check code corresponding to the target field; after the migration of the report data in the first database to the second database is completed, executing the target quality check code in the second database, and performing quality check on the report data stored in the second database; and finally, screening out target report data passing the quality check from the report data stored in the second database, and reporting the target report data to a preset supervision mechanism. In the process of migrating the report data in the first database to the second database, the metadata pairs of the report table in the first database are analyzed to automatically generate the quality check codes which correspond to the report table in batches and can be applied to the second database, so that a great deal of labor cost is saved, the quality check of the report data stored in the second database after the data migration is finished can be performed based on the generated quality check codes, the processing efficiency and the processing intelligence of the quality check of the report data are improved, the quality of the report data after migration is ensured, and further the report processing of the report data can be accurately performed according to the obtained quality check.
Drawings
In order to more clearly illustrate the solution of the present application, a brief description will be given below of the drawings required for the description of the embodiments of the present application, it being apparent that the drawings in the following description are some embodiments of the present application, and that other drawings may be obtained from these drawings without the exercise of inventive effort for a person of ordinary skill in the art.
FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;
FIG. 2 is a flow chart of one embodiment of a method of processing posted data in accordance with the present application;
FIG. 3 is a schematic diagram illustrating an embodiment of a device for processing data according to the present application;
FIG. 4 is a schematic structural diagram of one embodiment of a computer device in accordance with the present application.
Detailed Description
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the description of the applications herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description of the application and the claims and the description of the drawings above are intended to cover a non-exclusive inclusion. The terms first, second and the like in the description and in the claims or in the above-described figures, are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
In order to make the person skilled in the art better understand the solution of the present application, the technical solution of the embodiment of the present application will be clearly and completely described below with reference to the accompanying drawings.
As shown in fig. 1, a system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 is used as a medium to provide communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
The user may interact with the server 105 via the network 104 using the terminal devices 101, 102, 103 to receive or send messages or the like. Various communication client applications, such as a web browser application, a shopping class application, a search class application, an instant messaging tool, a mailbox client, social platform software, etc., may be installed on the terminal devices 101, 102, 103.
The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablet computers, electronic book readers, MP3 players (Moving Picture Experts Group Audio Layer III, dynamic video expert compression standard audio plane 3), MP4 (Moving Picture Experts Group Audio Layer IV, dynamic video expert compression standard audio plane 4) players, laptop and desktop computers, and the like.
The server 105 may be a server providing various services, such as a background server providing support for pages displayed on the terminal devices 101, 102, 103.
It should be noted that, the method for processing the reported data provided in the embodiment of the present application is generally executed by a server/terminal device, and accordingly, the device for processing the reported data is generally disposed in the server/terminal device.
It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
With continued reference to FIG. 2, a flow chart of one embodiment of a method of processing of newspaper data according to the present application is shown. The processing method of the report data comprises the following steps:
Step S201, before migrating the report data in the first database to the second database, obtaining metadata of a report table in the first database.
In this embodiment, the electronic device (for example, the server/terminal device shown in fig. 1) on which the method for processing the report data operates may acquire the metadata of the report table in the first database through a wired connection manner or a wireless connection manner. It should be noted that the wireless connection may include, but is not limited to, 3G/4G/5G connection, wiFi connection, bluetooth connection, wiMAX connection, zigbee connection, UWB (ultra wideband) connection, and other now known or later developed wireless connection. The first database is specifically an Oracle database, and the second database may be a Hive database. The prior business system database adopts Oracle, the supervision report is also an Oracle data link, and the supervision report data checking is also realized based on Oracle technology. In order to monitor the delivery, the delivery is realized by a big data link (Hadoop, hive, spark), and the checking of the delivery data also needs to be realized based on big data technology. Because Oracle and big data base underlying technologies are very different, the code implementation of data inspection is also very different. In addition, the existing Oracle database, that is, the metadata of the field level of the report table in the first database, may be read based on the self-grinding tool, and the metadata may include information such as a field type, a primary key identifier, a non-null limit identifier, a character limit length, and the like of the field.
Step S202, analyzing and processing the metadata, and determining a target field meeting a preset quality check condition from the report table.
In this embodiment, the target field meeting the preset quality check condition refers to a field in the report table in the first database, where the report table includes information such as a primary key identifier, a non-null limit identifier, and a character limit length.
Step S203, generating a target quality check code corresponding to the target field; wherein the target quality check code is adapted to the second database.
In this embodiment, the foregoing specific implementation process of generating the target quality check code corresponding to the target field will be described in further detail in the following specific embodiments, which will not be described herein.
Step S204, after the migration of the report data in the first database to the second database is completed, executing the target quality check code in the second database, and performing quality check on the report data stored in the second database.
In this embodiment, by executing the target quality check code in the second database, the quality check of the submitted data stored in the second database may be performed based on the check processing logic of the target quality check code, and a quality check result of each submitted data may be generated. Wherein, the content of the quality check result can comprise that the quality check is passed or the quality check is not passed.
Step S205, screening out the target report data passing the quality check from the report data stored in the second database.
In this embodiment, by executing the target quality check code in the second database, quality check of the report data stored in the second database may be achieved, and abnormal data that violates a quality check rule corresponding to the target quality check code may be obtained. Therefore, the abnormal data can be removed from the report data stored in the second database, and the target report data passing the quality check can be obtained.
Step S206, the target report data report is sent to a preset supervision organization.
In this embodiment, the foregoing specific implementation process of delivering the target report to a preset supervision authority will be described in further detail in the following specific embodiments, which will not be described herein.
Before transferring the report data in a first database to a second database, firstly acquiring metadata of a report table in the first database; then analyzing the metadata, and determining a target field which accords with a preset quality check condition from the report table; then generating a target quality check code corresponding to the target field; after the migration of the report data in the first database to the second database is completed, executing the target quality check code in the second database, and performing quality check on the report data stored in the second database; and finally, screening out target report data passing the quality check from the report data stored in the second database, and reporting the target report data to a preset supervision mechanism. In the process of migrating the report data in the first database to the second database, the metadata pairs of the report table in the first database are analyzed to automatically generate the quality check codes which correspond to the report table in batches and can be applied to the second database, so that a great deal of labor cost is saved, the quality check of the report data stored in the second database after the data migration is finished can be performed based on the generated quality check codes, the processing efficiency and the processing intelligence of the quality check of the report data are improved, the quality of the report data after migration is ensured, and further the report processing of the report data can be accurately performed according to the obtained quality check.
In some alternative implementations, step S203 includes the steps of:
And acquiring target metadata corresponding to the target field.
And determining a target check type corresponding to the target field based on the target metadata.
In this embodiment, by analyzing the target metadata, if it is detected that the target metadata includes a primary key identifier, the target check type corresponding to the target field is primary key check; if the target metadata is detected to comprise the non-empty limit identifier, the target check type corresponding to the target field is non-empty limit check; and if the character limit length identification is detected to be included in the target metadata, the target check type corresponding to the target field is character limit length check.
And acquiring a target quality check code template corresponding to the target check type.
In the present embodiment, for different check types, a quality check code template corresponding to each check type is created in advance. Specifically, for a primary key check type, a primary key check code template is created in advance; for the non-empty limit type, pre-creating a non-empty check code template; for the character limit length type, an ultra-long check code template is created in advance. In addition, each quality check code template is pre-written and generated by a developer according to actual service use requirements.
And acquiring a target verification parameter corresponding to the target verification type from the target metadata.
In this embodiment, for example, if the detection results in: the field a of the report table t1 is a primary key, and the corresponding t1 and a belong to target verification parameters; the field b of the report table T1 is not empty, and the corresponding T1 and b belong to target verification parameters; if the length of the c field of the report table t2 is limited to 50, the corresponding t2, c and 50 belong to the target verification parameters.
And constructing the target quality check code corresponding to the target field based on the target check parameter and the target quality check code template.
In this embodiment, the field parameters corresponding to the target verification parameters in the target quality verification code template may be replaced by the target verification parameters, so as to construct the target quality verification code corresponding to the target field. For example, if the detection results in: the a field of the report table T1 is a primary key, the b field of the report table T1 is not null, and the length of the c field of the report table T2 is limited to 50, so that the corresponding target quality check code can be generated as follows:
SELECT a FROM t1 GROUP BY a having count(1)>1；
SELECT id FROM T1 where b IS NULL；
SELECT id FROM t2 where length(c)>50。
The application obtains the target metadata corresponding to the target field; then determining a target check type corresponding to the target field based on the target metadata; then, a target quality check code template corresponding to the target check type is obtained; subsequently, acquiring target verification parameters corresponding to the target verification types from the target metadata; and constructing the target quality check code corresponding to the target field based on the target check parameter and the target quality check code template. According to the application, all report forms can be automatically generated in batches based on the use of the quality check code template, and the report forms can be applied to the quality check codes of the second database, so that a great amount of labor cost is saved, the completeness and effectiveness of check rules are ensured, the quality of the supervision report data under a big data link is further improved, and a smooth migration big data tamping foundation is provided for the supervision report link.
In some alternative implementations of the present embodiment, step S206 includes the steps of:
and acquiring the communication address information of the supervision mechanism.
In this embodiment, the above-mentioned regulatory agency is a reporting agency for receiving insurance data in the second database to be reported.
And acquiring the data reporting frequency corresponding to the supervision mechanism.
In this embodiment, the value of the data reporting frequency is not particularly limited, and may be set according to actual service usage requirements. For example, the datagram frequency may be agreed by the electronic device with the regulatory body to a frequency that the regulatory body can afford. Or the supervision mechanism can perform information interaction with the electronic equipment, and when the data required to be processed by the supervision mechanism is too much or too little, the information can be fed back to the electronic equipment, so that the electronic equipment correspondingly changes the reporting frequency of reporting the data according to the information fed back by the supervision mechanism.
A datagram delivery period corresponding to the regulatory authority is determined.
In this embodiment, the value of the data reporting period is not specifically limited, and may be set according to actual service usage requirements. For example, the datagram period is a traffic processing idle period of the regulatory body, such as other periods except for a working period and a rest period.
And transmitting the target reporting data to the supervision organization corresponding to the communication address information based on the data reporting frequency and the data reporting time period.
In this embodiment, when the current time is within the data reporting time period, the target reporting data is sent to the supervision organization corresponding to the communication address information according to the data reporting frequency.
According to the application, the communication address information of the supervision mechanism is acquired, then the data reporting frequency corresponding to the supervision mechanism is acquired, then the data reporting time period corresponding to the supervision mechanism is determined, and further the target reporting data is sent to the supervision mechanism corresponding to the communication address information based on the data reporting frequency and the data reporting time period. According to the application, by controlling the data reporting frequency and the data reporting time period of the target reporting data reporting, the problem that the reporting task is concentrated to the supervision mechanism at the same time to cause overlarge server pressure can be effectively avoided, the reporting intelligence of the target reporting data is improved, the pressure of the supervision mechanism is favorably relieved, and the stability of the mechanism platform is enhanced.
In some alternative implementations, step S206 includes the steps of:
And exporting a report file containing the target report data.
In this embodiment, a report file including all target report data passing the quality check may be exported, and if the data size of the target report data is smaller, all the target report data may be stored in one report file for export; if the data volume of the target report data is larger, all the target report data can be respectively stored into a plurality of report files, and a plurality of report files can be respectively exported. The form of the file export is not particularly limited.
And compressing the report file to obtain a processed target report file.
In this embodiment, a file compression format suitable for uploading may be obtained in advance, and then the report file is compressed based on the file compression format, so as to obtain the target report file.
And reporting the target report file to the supervision mechanism.
In this embodiment, the communication address information of the supervision organization may be obtained, and then the target report data may be sent to the supervision organization corresponding to the communication address information
According to the application, the report file containing the target report data is exported, and then the report file is compressed to obtain the processed target report file, and then the target report file is reported to the supervision mechanism, so that report data reporting is carried out to the supervision mechanism in a report form of the compressed file, and the normalization and the intelligence of report data reporting are improved.
In some optional implementations, after the step of reporting the target report file to the regulatory agency, the electronic device may further perform the following steps:
And acquiring a file occupation memory value of the target report file.
And judging whether the memory occupied by the file is larger than a preset memory threshold value or not.
In this embodiment, the value of the memory threshold is not limited in particular, and may be set according to the actual service usage requirement. In particular, the memory threshold may be generated based on a current remaining available memory within the electronic device. The memory threshold may be equal to a product of a current remaining available memory within the electronic device and a preset value. The value of the preset value is not particularly limited, and may be set according to actual service usage requirements. For example, the predetermined value is 0.8. If the current remaining available memory in the electronic device is less than 0.2, determining that the current operation of the electronic device is in an overload state.
And if the target report file is not greater than the memory threshold value, storing the target report file into a preset database.
In this embodiment, the preset database is a built-in database of the electronic device. If the file occupation memory value of the target report file is not greater than the memory threshold value, the target report file is stored in a built-in database of the electronic equipment, and the current normal operation of the electronic equipment is not affected.
And if the target report file is larger than the memory threshold, storing the target report file into a blockchain.
In this embodiment, if the file occupation memory value of the target report file is greater than the memory threshold, the target report file is stored in the built-in database of the electronic device, which may affect the current normal operation of the electronic device, and the target report file is intelligently stored in the blockchain. The above specific implementation process of storing the target report file in the blockchain will be described in further detail in the following specific embodiments, which will not be described herein.
The method comprises the steps of obtaining a file occupation memory value of a target reported file, and judging whether the file occupation memory value is larger than a preset memory threshold value or not; if the target report file is not greater than the memory threshold value, storing the target report file into a preset database; and if the target report file is larger than the memory threshold, storing the target report file into a blockchain. According to the method and the device for storing the target report file, the corresponding database storage or blockchain storage mode can be intelligently selected for storage according to the numerical comparison result between the file occupation memory value of the target report file and the preset memory threshold value, and storage intelligence of the target report file is improved.
In some optional implementations of this embodiment, the storing the target report file in a preset database includes the following steps:
and acquiring the number of the designated report tables contained in the target report data in the target report file.
In this embodiment, the number of the above-mentioned specified report tables may include one or more.
It is determined whether the number is greater than 1.
If yes, classifying the target report data in the target report file into designated report data corresponding to each designated report table.
In this embodiment, the target delivery data may be classified in the dimension of the delivery table to classify the target delivery data into the specified delivery data under the plurality of specified delivery tables.
And dividing the target report file into subfiles respectively corresponding to the specified report tables based on the specified report data.
In this embodiment, a corresponding sub-file may be constructed by using the specified reporting data included in each specified reporting table, so that all obtained sub-files may be combined to obtain the target reporting file.
And determining a plurality of target sub-blocks with the same number from a preset block chain.
In this embodiment, the selection of the target sub-block is not specifically limited, and may be set according to actual service requirements. The method comprises the steps of selecting a designated sub-block matched with the report data type from all sub-blocks contained in a blockchain, and further selecting a plurality of target sub-blocks with the same number from the designated sub-block. By determining a plurality of target sub-blocks which are the same as the target sub-blocks in number and are suitable for storing the report data from the block chain to store all the sub-files, the normalization and the intelligence of the storage of the sub-files can be effectively improved.
And establishing a one-to-one correspondence between each sub-file and each target sub-block.
In this embodiment, the file size of each sub-file may be obtained, and the available capacity size of each target sub-block may be obtained; then sequencing the sub-files according to the sequence from big to small of the file size of each sub-file to obtain a first sequencing result, and sequencing the target sub-blocks according to the sequence from big to small of the available capacity of each target sub-block to obtain a second sequencing result; and establishing a one-to-one correspondence between the subfiles with the same sequence numbers and the target subfiles. According to the method and the device, the one-to-one correspondence between each sub-file and each target sub-block is established based on the relation between the file size of the sub-file and the available capacity size of the target sub-block, so that the accuracy and the intelligence of the correspondence construction are improved.
And storing all the subfiles into each target subblock correspondingly based on the one-to-one correspondence.
The method comprises the steps of obtaining the number of the designated report tables contained in target report data in the target report file; if the number is greater than 1, classifying the target reporting data in the target reporting file into designated reporting data respectively corresponding to each designated reporting table; then dividing the target report file into subfiles corresponding to the specified report tables respectively based on the specified report data; then determining a plurality of target sub-blocks with the same number from a preset block chain; and subsequently establishing a one-to-one correspondence between each sub-file and each target sub-block, and correspondingly storing all the sub-files into each target sub-block based on the one-to-one correspondence. According to the method and the device, the target report file is divided into the plurality of sub-files, and the sub-files are stored respectively by utilizing the plurality of target sub-blocks in the block chain, so that the condition that all information of the target report file is leaked can be avoided, and the safety of the target report file is effectively enhanced.
In some optional implementations of this embodiment, after step S204, the electronic device may further perform the following steps:
And screening abnormal report data which does not pass the quality check from the report data stored in the second database.
In this embodiment, the target report data passing the quality check is selected from the report data stored in the second database, and further, other data in the second database except for the target report data may be used as the abnormal report data.
And writing the abnormal report data into a preset abnormal report data table.
In this embodiment, the abnormal report data table is a data table constructed in advance for storing abnormal report data.
And generating abnormal early warning information corresponding to the abnormal report data.
In this embodiment, a preset abnormality early warning information template may be obtained, and then abnormality report data is filled into the abnormality early warning information template to generate the abnormality early warning information. The abnormal early warning information template can be pre-written and generated by a developer according to actual service use requirements.
And acquiring communication contact information of the target user.
In this embodiment, the target user may refer to an operation and maintenance person related to repair of the reported data. The communication contact information may include a telephone number or a mail address.
And based on the communication contact information, sending the abnormal report data and the abnormal early warning information to the communication equipment of the target user.
The application screens out abnormal report data which does not pass the quality check from the report data stored in the second database; then writing the abnormal report data into a preset abnormal report data table; then generating abnormal early warning information corresponding to the abnormal report data; subsequently, communication contact information of the target user is obtained; and further, based on the communication contact information, the abnormal report data and the abnormal early warning information are sent to the communication equipment of the target user. According to the application, the abnormal report data which does not pass the quality check is screened from the report data stored in the second database, and the abnormal report data is intelligently sent to related target personnel, so that the target personnel can repair the abnormal report data in time, and the work efficiency and the work experience of the target personnel are improved.
It should be emphasized that, to further ensure the privacy and security of the target report data, the target report data may also be stored in a node of a blockchain.
The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and the like. The blockchain (Blockchain), essentially a de-centralized database, is a string of data blocks that are generated in association using cryptographic methods, each of which contains information from a batch of network transactions for verifying the validity (anti-counterfeit) of its information and generating the next block. The blockchain may include a blockchain underlying platform, a platform product services layer, an application services layer, and the like.
The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Wherein artificial intelligence (ARTIFICIAL INTELLIGENCE, AI) is the theory, method, technique, and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend, and expand human intelligence, sense the environment, acquire knowledge, and use knowledge to obtain optimal results.
Artificial intelligence infrastructure technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and other directions.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by computer readable instructions stored in a computer readable storage medium that, when executed, may comprise the steps of the embodiments of the methods described above. The storage medium may be a nonvolatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a random access Memory (Random Access Memory, RAM).
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
With further reference to fig. 3, as an implementation of the method shown in fig. 2, the present application provides an embodiment of a processing apparatus for reporting data, where an embodiment of the apparatus corresponds to the embodiment of the method shown in fig. 2, and the apparatus may be specifically applied to various electronic devices.
As shown in fig. 3, the processing device 300 for reporting data according to the present embodiment includes: a first acquisition module 301, a determination module 302, a first generation module 303, a verification module 304, a first screening module 305, and a first sending module 306. Wherein:
A first obtaining module 301, configured to obtain metadata of a report table in a first database before migrating report data in the first database to a second database;
the determining module 302 is configured to perform analysis processing on the metadata, and determine a target field that meets a preset quality check condition from the report table;
A first generating module 303, configured to generate a target quality check code corresponding to the target field; wherein the target quality check code is adapted to the second database;
The verification module 304 is configured to execute the target quality verification code in the second database after completing migration of the report data in the first database to the second database, and perform quality verification on the report data stored in the second database;
A first screening module 305, configured to screen target report data passing the quality check from report data stored in the second database;
and a first sending module 306, configured to send the target report datagram to a preset supervision mechanism.
In this embodiment, the operations performed by the modules or units respectively correspond to the steps of the method for processing the report data in the foregoing embodiment one by one, which is not described herein again.
In some alternative implementations of the present embodiment, the first generating module 303 includes:
the first acquisition sub-module is used for acquiring target metadata corresponding to the target field;
A first determining sub-module for determining a target check type corresponding to the target field based on the target metadata;
The second acquisition sub-module is used for acquiring a target quality check code template corresponding to the target check type;
a third obtaining sub-module, configured to obtain a target verification parameter corresponding to the target verification type from the target metadata;
And the construction submodule is used for constructing the target quality check code corresponding to the target field based on the target check parameter and the target quality check code template.
In this embodiment, the operations performed by the modules or units respectively correspond to the steps of the method for processing the report data in the foregoing embodiment one by one, which is not described herein again.
In some optional implementations of this embodiment, the first sending module 306 includes:
A fourth obtaining sub-module, configured to obtain communication address information of the supervision mechanism;
A fifth obtaining sub-module, configured to obtain a data reporting frequency corresponding to the supervision mechanism;
a second determining sub-module for determining a datagram time period corresponding to the regulatory body;
And the first sending sub-module is used for sending the target report data to the supervision organization corresponding to the communication address information based on the data report frequency and the data report time period.
In this embodiment, the operations performed by the modules or units respectively correspond to the steps of the method for processing the report data in the foregoing embodiment one by one, which is not described herein again.
In some optional implementations of this embodiment, the first sending module 306 includes:
the export sub-module is used for exporting a report file containing the target report data;
The compression sub-module is used for compressing the report file to obtain a processed target report file;
And the second sending sub-module is used for reporting the target report file to the supervision mechanism.
In this embodiment, the operations performed by the modules or units respectively correspond to the steps of the method for processing the report data in the foregoing embodiment one by one, which is not described herein again.
In some optional implementations of this embodiment, the first sending module 306 further includes:
a fifth obtaining sub-module, configured to obtain a file occupation memory value of the target report file;
the judging submodule is used for judging whether the memory value occupied by the file is larger than a preset memory threshold value or not;
the first storage sub-module is used for storing the target report file into a preset database if the target report file is not larger than the memory threshold value;
and the second storage sub-module is used for storing the target report file into the block chain if the target report file is larger than the memory threshold value.
In this embodiment, the operations performed by the modules or units respectively correspond to the steps of the method for processing the report data in the foregoing embodiment one by one, which is not described herein again.
In some optional implementations of this embodiment, the second storage submodule includes:
the acquisition unit is used for acquiring the number of the designated report tables contained in the target report data in the target report file;
A judging unit configured to judge whether the number is greater than 1;
the classifying unit is used for classifying the target report data in the target report file into designated report data respectively corresponding to each designated report table if the target report data in the target report file is the designated report data;
The dividing unit is used for dividing the target report file into subfiles respectively corresponding to the specified report tables based on the specified report data;
The determining unit is used for determining a plurality of target sub-blocks with the same number from a preset block chain;
the creation unit is used for creating a one-to-one correspondence between each sub-file and each target sub-block;
And the storage unit is used for correspondingly storing all the subfiles into each target subblock based on the one-to-one correspondence.
In this embodiment, the operations performed by the modules or units respectively correspond to the steps of the method for processing the report data in the foregoing embodiment one by one, which is not described herein again.
In some optional implementations of this embodiment, the processing apparatus for reporting data further includes:
the second screening module is used for screening abnormal report data which does not pass the quality check from the report data stored in the second database;
the writing module is used for writing the abnormal report data into a preset abnormal report data table;
The second generation module is used for generating abnormal early warning information corresponding to the abnormal report data;
the second acquisition module is used for acquiring the communication contact information of the target user;
and the second sending module is used for sending the abnormal report data and the abnormal early warning information to the communication equipment of the target user based on the communication contact information.
In this embodiment, the operations performed by the modules or units respectively correspond to the steps of the method for processing the report data in the foregoing embodiment one by one, which is not described herein again.
In order to solve the technical problems, the embodiment of the application also provides computer equipment. Referring specifically to fig. 4, fig. 4 is a basic structural block diagram of a computer device according to the present embodiment.
The computer device 4 comprises a memory 41, a processor 42, a network interface 43 communicatively connected to each other via a system bus. It should be noted that only computer device 4 having components 41-43 is shown in the figures, but it should be understood that not all of the illustrated components are required to be implemented and that more or fewer components may be implemented instead. It will be appreciated by those skilled in the art that the computer device herein is a device capable of automatically performing numerical calculation and/or information processing according to a preset or stored instruction, and its hardware includes, but is not limited to, a microprocessor, an Application SPECIFIC INTEGRATED Circuit (ASIC), a Programmable gate array (Field-Programmable GATE ARRAY, FPGA), a digital Processor (DIGITAL SIGNAL Processor, DSP), an embedded device, and the like.
The computer equipment can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing equipment. The computer equipment can perform man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch pad or voice control equipment and the like.
The memory 41 includes at least one type of readable storage medium including flash memory, hard disk, multimedia card, card memory (e.g., SD or DX memory, etc.), random Access Memory (RAM), static Random Access Memory (SRAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), programmable Read Only Memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the storage 41 may be an internal storage unit of the computer device 4, such as a hard disk or a memory of the computer device 4. In other embodiments, the memory 41 may also be an external storage device of the computer device 4, such as a plug-in hard disk, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD) or the like, which are provided on the computer device 4. Of course, the memory 41 may also comprise both an internal memory unit of the computer device 4 and an external memory device. In this embodiment, the memory 41 is generally used to store an operating system and various application software installed on the computer device 4, such as computer readable instructions of a processing method for reporting data. Further, the memory 41 may be used to temporarily store various types of data that have been output or are to be output.
The processor 42 may be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 42 is typically used to control the overall operation of the computer device 4. In this embodiment, the processor 42 is configured to execute computer readable instructions stored in the memory 41 or process data, for example, execute computer readable instructions of a processing method for reporting data.
The network interface 43 may comprise a wireless network interface or a wired network interface, which network interface 43 is typically used for establishing a communication connection between the computer device 4 and other electronic devices.
Compared with the prior art, the embodiment of the application has the following main beneficial effects:
In the embodiment of the application, before transferring the report data in the first database to the second database, metadata of a report table in the first database is firstly obtained; then analyzing the metadata, and determining a target field which accords with a preset quality check condition from the report table; then generating a target quality check code corresponding to the target field; after the migration of the report data in the first database to the second database is completed, executing the target quality check code in the second database, and performing quality check on the report data stored in the second database; and finally, screening out target report data passing the quality check from the report data stored in the second database, and reporting the target report data to a preset supervision mechanism. In the process of migrating the report data in the first database to the second database, the metadata pairs of the report table in the first database are analyzed to automatically generate the quality check codes which correspond to the report table in batches and can be applied to the second database, so that a great deal of labor cost is saved, the quality check of the report data stored in the second database after the data migration is finished can be performed based on the generated quality check codes, the processing efficiency and the processing intelligence of the quality check of the report data are improved, the quality of the report data after migration is ensured, and further the report processing of the report data can be accurately performed according to the obtained quality check.
The present application also provides another embodiment, namely, a computer readable storage medium, where computer readable instructions are stored, where the computer readable instructions are executable by at least one processor to cause the at least one processor to perform the steps of a method for reporting data as described above.
Compared with the prior art, the embodiment of the application has the following main beneficial effects:
In the embodiment of the application, before transferring the report data in the first database to the second database, metadata of a report table in the first database is firstly obtained; then analyzing the metadata, and determining a target field which accords with a preset quality check condition from the report table; then generating a target quality check code corresponding to the target field; after the migration of the report data in the first database to the second database is completed, executing the target quality check code in the second database, and performing quality check on the report data stored in the second database; and finally, screening out target report data passing the quality check from the report data stored in the second database, and reporting the target report data to a preset supervision mechanism. In the process of migrating the report data in the first database to the second database, the metadata pairs of the report table in the first database are analyzed to automatically generate the quality check codes which correspond to the report table in batches and can be applied to the second database, so that a great deal of labor cost is saved, the quality check of the report data stored in the second database after the data migration is finished can be performed based on the generated quality check codes, the processing efficiency and the processing intelligence of the quality check of the report data are improved, the quality of the report data after migration is ensured, and further the report processing of the report data can be accurately performed according to the obtained quality check.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. 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 stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present application.
It is apparent that the above-described embodiments are only some embodiments of the present application, but not all embodiments, and the preferred embodiments of the present application are shown in the drawings, which do not limit the scope of the patent claims. This application may be embodied in many different forms, but rather, embodiments are provided in order to provide a thorough and complete understanding of the present disclosure. Although the application has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described in the foregoing description, or equivalents may be substituted for elements thereof. All equivalent structures made by the content of the specification and the drawings of the application are directly or indirectly applied to other related technical fields, and are also within the scope of the application.
Claims (10)
1. The processing method of the report data is characterized by comprising the following steps:
Before transferring the reporting data in a first database to a second database, acquiring metadata of a reporting table in the first database;
analyzing and processing the metadata, and determining a target field meeting a preset quality check condition from the report table;
Generating a target quality check code corresponding to the target field; wherein the target quality check code is adapted to the second database;
After the migration of the report data in the first database to the second database is completed, executing the target quality check code in the second database, and performing quality check on the report data stored in the second database;
Screening target report data passing the quality check from the report data stored in the second database;
And sending the target report data report to a preset supervision organization.
2. The method for processing the report data according to claim 1, wherein the step of generating the target quality check code corresponding to the target field specifically comprises:
acquiring target metadata corresponding to the target field;
Determining a target check type corresponding to the target field based on the target metadata;
acquiring a target quality check code template corresponding to the target check type;
Acquiring target verification parameters corresponding to the target verification types from the target metadata;
and constructing the target quality check code corresponding to the target field based on the target check parameter and the target quality check code template.
3. The method for processing the report data according to claim 1, wherein the step of reporting the target report data to a preset regulatory agency specifically comprises:
Acquiring communication address information of the supervision mechanism;
acquiring data reporting frequency corresponding to the supervision mechanism;
determining a datagram time period corresponding to the regulatory body;
and transmitting the target reporting data to the supervision organization corresponding to the communication address information based on the data reporting frequency and the data reporting time period.
4. The method for processing the report data according to claim 1, wherein the step of reporting the target report data to a preset regulatory agency specifically comprises:
exporting a report file containing the target report data;
compressing the report file to obtain a processed target report file;
and reporting the target report file to the supervision mechanism.
5. The method of claim 4, further comprising, after the step of reporting the target report file to the regulatory body:
acquiring a file occupation memory value of the target report file;
Judging whether the memory value occupied by the file is larger than a preset memory threshold value or not;
if the target report file is not greater than the memory threshold value, storing the target report file into a preset database;
And if the target report file is larger than the memory threshold, storing the target report file into a blockchain.
6. The method for processing the report data according to claim 5, wherein the step of storing the target report file in a preset database specifically comprises:
Acquiring the number of designated report tables contained in target report data in the target report file;
Judging whether the number is larger than 1;
if yes, classifying the target report data in the target report file into designated report data corresponding to each designated report table respectively;
Dividing the target report file into subfiles corresponding to the specified report tables respectively based on the specified report data;
determining a plurality of target sub-blocks with the same number from a preset block chain;
establishing a one-to-one correspondence between each sub-file and each target sub-block;
and storing all the subfiles into each target subblock correspondingly based on the one-to-one correspondence.
7. The method for processing the delivery data according to claim 1, wherein after the step of executing the target quality check code in the second database after completing migration of the delivery data in the first database to the second database, further comprising, after the step of performing quality check on the delivery data stored in the second database:
Screening abnormal report data which does not pass the quality check from the report data stored in the second database;
writing the abnormal report data into a preset abnormal report data table;
Generating abnormal early warning information corresponding to the abnormal report data;
acquiring communication contact information of a target user;
And based on the communication contact information, sending the abnormal report data and the abnormal early warning information to the communication equipment of the target user.
8. A processing apparatus for reporting data, comprising:
The first acquisition module is used for acquiring metadata of the reporting table in the first database before transferring the reporting data in the first database to the second database;
the determining module is used for analyzing and processing the metadata and determining a target field which accords with a preset quality check condition from the report table;
The first generation module is used for generating a target quality check code corresponding to the target field; wherein the target quality check code is adapted to the second database;
The verification module is used for executing the target quality verification code in the second database after the report data in the first database is migrated to the second database, and carrying out quality verification on the report data stored in the second database;
the first screening module is used for screening target report data passing the quality check from the report data stored in the second database;
and the first sending module is used for sending the target report data report to a preset supervision mechanism.
9. A computer device comprising a memory having stored therein computer readable instructions which when executed implement the steps of the method of processing of claim 1 to 7.
10. A computer-readable storage medium having stored thereon computer-readable instructions which, when executed by a processor, implement the steps of the method of processing broadcast data according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211568731.7A CN115941712B (en) | 2022-12-08 | 2022-12-08 | Method and device for processing report data, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211568731.7A CN115941712B (en) | 2022-12-08 | 2022-12-08 | Method and device for processing report data, computer equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115941712A CN115941712A (en) | 2023-04-07 |
| CN115941712B true CN115941712B (en) | 2024-04-26 |
Family
ID=86655267
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211568731.7A Active CN115941712B (en) | 2022-12-08 | 2022-12-08 | Method and device for processing report data, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115941712B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112817935A (en) * | 2021-01-22 | 2021-05-18 | 平安普惠企业管理有限公司 | Data processing method, device and equipment based on field type and storage medium |
| CN113886370A (en) * | 2021-08-24 | 2022-01-04 | 国网天津市电力公司营销服务中心 | Data quality checking and verifying system, method, computer equipment and storage medium |
| CN114185871A (en) * | 2021-12-10 | 2022-03-15 | 中国电信股份有限公司 | Data migration method, data migration device, medium, and electronic device |
| CN114942905A (en) * | 2022-05-09 | 2022-08-26 | 中国银行股份有限公司 | Migration data verification method, device, equipment and storage medium |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8032523B2 (en) * | 2008-05-08 | 2011-10-04 | International Business Machines Corporation | Method and system for data migration |
| US10289409B2 (en) * | 2017-03-29 | 2019-05-14 | The Travelers Indemnity Company | Systems, methods, and apparatus for migrating code to a target environment |
-
2022
- 2022-12-08 CN CN202211568731.7A patent/CN115941712B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112817935A (en) * | 2021-01-22 | 2021-05-18 | 平安普惠企业管理有限公司 | Data processing method, device and equipment based on field type and storage medium |
| CN113886370A (en) * | 2021-08-24 | 2022-01-04 | 国网天津市电力公司营销服务中心 | Data quality checking and verifying system, method, computer equipment and storage medium |
| CN114185871A (en) * | 2021-12-10 | 2022-03-15 | 中国电信股份有限公司 | Data migration method, data migration device, medium, and electronic device |
| CN114942905A (en) * | 2022-05-09 | 2022-08-26 | 中国银行股份有限公司 | Migration data verification method, device, equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 风险管理视角下的电子档案数据迁移探究;苏珊珊;;办公室业务;20160805(第15期);第33-34页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115941712A (en) | 2023-04-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115237857A (en) | Log processing method and device, computer equipment and storage medium | |
| CN115237724A (en) | Data monitoring method, device, equipment and storage medium based on artificial intelligence | |
| CN115757075A (en) | Task abnormity detection method and device, computer equipment and storage medium | |
| CN116453125A (en) | Data input method, device, equipment and storage medium based on artificial intelligence | |
| CN116956326A (en) | Authority data processing method and device, computer equipment and storage medium | |
| CN116843395A (en) | Alarm classification method, device, equipment and storage medium of service system | |
| CN112085611A (en) | Asynchronous data verification method and device, electronic equipment and storage medium | |
| CN115941712B (en) | Method and device for processing report data, computer equipment and storage medium | |
| CN116681045A (en) | Report generation method, report generation device, computer equipment and storage medium | |
| CN116737437A (en) | Data analysis method, device, computer equipment and storage medium | |
| CN117034173A (en) | Data processing method, device, computer equipment and storage medium | |
| CN115829763A (en) | Data transmission method, device, computer equipment and storage medium | |
| CN116820443A (en) | Data analysis method, device, computer equipment and storage medium | |
| CN115080045A (en) | Link generation method and device, computer equipment and storage medium | |
| CN115202966A (en) | Picture processing method and device, computer equipment and storage medium | |
| CN118261720A (en) | Product analysis method, device, equipment and storage medium based on artificial intelligence | |
| CN118041977A (en) | Method and device for processing micro-service component, computer equipment and storage medium | |
| CN115576837A (en) | Batch number making method and device, computer equipment and storage medium | |
| CN117787723A (en) | Data prediction method, device, equipment and storage medium based on artificial intelligence | |
| CN116932486A (en) | File generation method, device, computer equipment and storage medium | |
| CN116796133A (en) | Data analysis method, device, computer equipment and storage medium | |
| CN115471348A (en) | Data generation method and device, computer equipment and storage medium | |
| CN118035560A (en) | Data recommendation method, device, equipment and storage medium based on artificial intelligence | |
| CN116662198A (en) | Data analysis method, device, computer equipment and storage medium | |
| CN117094827A (en) | Data generation method, device, computer equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |