CN118503485B - Credit data storage method, device, equipment and medium - Google Patents
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Abstract
The embodiment of the invention discloses a credit investigation data storage method, a credit investigation data storage device, equipment and a storage medium; the method comprises the steps of storing credit information data in a preset first storage interval, classifying and integrating the credit information data in the first storage interval to obtain a metadata index chain of a data storage request, generating a user identifier based on the generation time and the file format of the metadata index chain, and storing the user identifier in a preset second storage interval. On one hand, the metadata index of the first storage interval is established to obtain a metadata index chain through classifying and storing the credit information, so that the efficiency of storing and searching the credit information is improved, and on the other hand, the user identification generated by the generation time of the metadata index chain and the file format is stored in the second storage interval, so that double encryption of the credit information is realized, and the safety of data storage is improved.
Description
Technical Field
The present invention relates to the field of data storage technologies, and in particular, to a method, an apparatus, a device, and a medium for storing credit investigation data.
Background
The data used by the big data credit investigation platform has the characteristic of source diversity, and along with the rapid development of the mobile internet, the credit investigation data needs specialized storage due to the characteristics of wide coverage and complete data, so that later scheduling and updating are convenient.
The credit information comprises all government functional departments supervision information, bank credit information, industry association evaluation information, media evaluation information, enterprise operation management information, market feedback information and the like, and the content of the credit information comprises various data such as texts, format files and the like.
In this case, the conventional structured data table has failed to meet the storage requirement of data diversity and has low storage efficiency.
Disclosure of Invention
Based on the above, it is necessary to provide a credit information data storage method, device, equipment and medium to realize efficient data storage.
To achieve the above object, a first aspect of the present application provides a credit data storage method, the method comprising:
Acquiring a data storage request, wherein the data storage request carries credit investigation data to be stored;
Storing the credit investigation data into a preset first storage interval;
classifying and integrating the credit investigation data in the first storage interval to obtain a metadata index chain of the data storage request;
And generating a user identifier based on the generation time and the file format of the metadata index chain, and storing the user identifier into a preset second storage interval.
Further, if the data storage request further carries the file format of the credit investigation data, the storing the credit investigation data into a preset first storage interval specifically includes:
Inputting the credit investigation data and the file format of the credit investigation data into a preset text recognition model to obtain a text content result output by the text recognition model;
storing the text content result into the first storage section;
Classifying and integrating the credit information data in the first storage interval to obtain a metadata index chain of the data storage request, wherein the metadata index chain specifically comprises the following steps:
and classifying and integrating the text content results in the first storage interval to obtain a metadata index chain of the data storage request.
Further, the first storage interval comprises a preset number of related credit data models, and the related credit data models represent the types of credit data;
The classifying and integrating the text content results in the first storage interval to obtain a metadata index chain of the data storage request specifically includes:
Sequentially inputting the text content results into each relevant credit data model for data type matching, and determining classification results of the text content results;
and integrating according to the classification result to obtain a metadata index chain of the data storage request.
Further, the step of sequentially inputting the text content result into each relevant credit data model for data type matching, and determining the classification result of the text content result specifically includes:
If the text content result is successfully matched with a first relevant credit data model, filling the text content result into the first relevant credit data model, and taking the credit data type corresponding to the first relevant credit data model as a classification result, wherein the first relevant credit data model is any one of all relevant credit data models;
If the text content result is failed to be matched with all the related credit data models, a second related credit data model is generated according to the text content result, the text content result is filled into the second related credit data model, and the credit data type corresponding to the second related credit data model is used as a classification result.
Further, the data storage request further carries the collection time of the credit investigation data, and before the credit investigation data is stored in the preset first storage interval, the method further includes:
Acquiring target acquisition days, wherein the target acquisition days are days between acquisition time of the credit investigation data and time of receiving the data storage request;
when the target acquisition days are not greater than the preset effective acquisition days, continuing to execute the step of storing the credit investigation data into a preset first storage interval;
and when the target acquisition filling data is larger than the effective acquisition days, the credit investigation data is listed as invalid credit investigation data and deleted.
Further, the method is applied to the electronic device, and before the acquiring the data storage request, the method further includes:
Receiving a connection request sent by an application system through a preset network, wherein the application system is used for collecting credit investigation data, generating a data storage request for the credit investigation data and sending the data storage request to the electronic equipment, and the connection request is used for requesting to establish connection with the electronic equipment;
After receiving the connection request, generating a detection instruction and sending the detection instruction to the application system, wherein the detection instruction is used for detecting whether a current account number of the application system is a target account number, and the target account number is an account number logging in the electronic equipment;
when the current account number of the application system is the target account number, establishing connection with the application system, and continuing to execute the operation of acquiring the data storage request;
And when the current account number of the application system is not the target account number, not establishing connection with the application system and clearing the connection request.
Further, the preset network is one or a combination of a plurality of 3G network, 4G network, 5G network and WIFI network.
In order to achieve the above object, a second aspect of the present application provides a credit information data storage device, which includes a data acquisition unit, a data identification unit, and a data storage unit:
The data acquisition unit is used for acquiring a data storage request, wherein the data storage request carries credit investigation data to be stored;
The data identification unit is used for storing the credit investigation data into a preset first storage interval;
classifying and integrating the credit investigation data in the first storage interval to obtain a metadata index chain of the data storage request;
The data storage unit is used for generating a user identifier based on the generation time and the file format of the metadata index chain and storing the user identifier into a preset second storage interval.
To achieve the above object, a third aspect of the present application provides a computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, causes the processor to perform the steps of the method according to the first aspect.
To achieve the above object, a fourth aspect of the present application provides a computer device comprising a memory and a processor, characterized in that the memory stores a computer program which, when executed by the processor, causes the processor to perform the steps of the method according to the first aspect.
The embodiment of the invention has the following beneficial effects:
The invention provides a credit information data storage method which comprises the steps of obtaining a data storage request, storing credit information data into a preset first storage interval, classifying and integrating the credit information data in the first storage interval to obtain a metadata index chain of the data storage request, generating a user identifier based on the generation time and the file format of the metadata index chain, and storing the user identifier into a preset second storage interval. On the other hand, double encryption of the credit information data is realized by storing the generation time of a metadata index chain and the user identification generated by a file format into a second storage section, and the security of data storage is improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Wherein:
FIG. 1 is a flow chart of a credit investigation data storage method according to an embodiment of the present invention;
FIG. 2 is a block diagram of a credit data storage device according to an embodiment of the invention;
Fig. 3 is an internal structural diagram of a computer device in an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention 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 invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The credit information sources are various, so that the credit information comprises various information, such as enterprise basic identity information, administrative permissions, identification information, administrative rewards and penalties information, product quality monitoring information, court judgment information, intellectual property information and the like, bank credit information, china people bank credit evaluation information, business bank credit evaluation information, small credit company credit evaluation information, civil credit evaluation information and the like, industry association evaluation information, social public institution evaluation information, such as industry association evaluation information, hydropower and telecommunication traffic and the like, media evaluation information, enterprise operation management information, market feedback information, such as consumers, transaction opponents, partnerships, staff and the like, and the content, format and type of the information data are various, so that the traditional structured data table cannot meet the storage requirements of the various data.
Based on the above, the embodiment of the invention provides a credit information data storage method so as to achieve the effects of efficient storage, safe storage and convenient extraction of credit information data. Referring to fig. 1 specifically, fig. 1 is a flow chart of a credit information data storage method according to an embodiment of the invention, which specifically includes:
step 110, a data storage request is acquired, where the data storage request carries credit investigation data to be stored.
The data storage request may be generated and sent by the application system, specifically, the application system collects the personal information related to the user of the login account as credit data, and generates and sends the data storage request according to the credit data, so that the data storage request may carry the credit data to be stored, so as to store the credit data of the user.
And 130, storing the credit investigation data into a preset first storage interval.
After receiving the data storage request, the credit investigation data in the data storage request is stored in a first storage section, wherein the first storage section is preset and is used for classifying the credit investigation data and storing the position of the credit investigation data.
And step 150, classifying and integrating the credit investigation data in the first storage interval to obtain a metadata index chain of the data storage request.
According to the embodiment of the invention, the metadata index is established for the first storage interval, so that the classified stored credit investigation data can be quickly searched. Alternatively, the method can be keyword index, letter index, date index and the like, and the classified stored credit information is searched through the information of keywords, letters, dates and the like. Specifically, the credit investigation data stored in the first storage section is classified, and a classification result is obtained. And integrating according to the classification result of the credit investigation data to obtain a metadata index chain of the data storage request. Through classified storage and index establishment, quick searching of credit investigation data can be realized, and management of the credit investigation data is facilitated.
Step 170, generating a user identifier based on the generation time and the file format of the metadata index chain, and storing the user identifier into a preset second storage interval.
Specifically, related parameters of the metadata index chain are obtained, the related parameters at least comprise generation time and file format of the metadata index chain, the related parameters are collected and sorted to generate user identifications, and the user identifications are stored in a preset second storage interval.
The metadata index chain generation time is used for recording a time interval for generating the metadata index chain, and the time interval can be a time interval from a collection time point of go on an expedition letter data to a metadata index chain generation time point, or a time interval from a time point when a data storage request is received to a metadata index chain generation time point.
The file format of the metadata index chain is divided into a single index file (. IDX) and a compound index file (. CDX). The file format facilitates quick extraction of metadata index chains of the same file format and facilitates storage of the same type of file format.
According to the embodiment of the invention, the credit investigation data is classified and stored in the first storage interval, and the metadata index of the first storage interval is established to obtain the integrated metadata index chain of the user data storage request, so that the efficiency of credit investigation data storage and searching is improved. In addition, the user identification is stored in a second storage interval according to the user identification generated by the metadata index chain, double encryption of credit investigation data sent by the application system is achieved, safety of the credit investigation data is protected, and when the credit investigation data is called, quick search can be conducted in the storage interval through the index, so that the credit investigation can be conducted when the credit investigation data falls out in time, and convenience of an administrator in information calling is improved.
In an embodiment of the present invention, the credit data storage method is applied to the electronic device, and before the step 110 of obtaining the data storage request, the method further includes:
Step 101, receiving a connection request sent by an application system through a preset network, wherein the application system is used for collecting credit information data, generating a data storage request for the credit information data and sending the data storage request to the electronic equipment, and the connection request is used for requesting to establish connection with the electronic equipment.
Step 102, after receiving the connection request, generating a detection instruction and sending the detection instruction to the application system, where the detection instruction is used to detect whether the current account number of the application system is a target account number, and the target account number is an account number for logging in the electronic device.
And 103, when the current account number of the application system is the target account number, establishing connection with the application system, and continuing to execute the operation of acquiring the data storage request, and when the current account number of the application system is not the target account number, not establishing connection with the application system, and clearing the connection request.
In the embodiment of the invention, the data storage request is sent by the application system, specifically, after the application system logs in the account, the personal data related to the user in the account is collected as credit data, after the credit data is collected, the data storage request is generated according to the credit data and other parameters, and the other parameters can include collection time, file format and the like, and the data storage request is sent to the electronic equipment.
Before the electronic device receives the data storage request sent by the application system, a connection should be established with the application system. Specifically, before the application system needs to send a data storage request, a connection request is sent to the electronic device, where the connection request is used for requesting to establish a connection with the electronic device.
In a feasible embodiment of the invention, the preset network can be one or a combination of more of a 3G network, a 4G network, a 5G network and a WIFI network, and the connection between the application system and the electronic device is realized through wireless connection, so that the application system is convenient to convey collected credit investigation data to the electronic device.
After the electronic device receives the connection request, a detection instruction is generated and sent to the application system, wherein the detection instruction is used for indicating whether the current account number for detecting the login of the application system is consistent with the account number for detecting the login of the electronic device, for example, if the account number for logging in the electronic device is a target account number, the detection instruction is used for indicating whether the current account number for detecting the login of the application system is the target account number. After the detection is completed, the application system sends the detection result to the electronic equipment.
And after the electronic equipment receives the detection result, judging whether to establish connection with the application system or not based on the detection result. Specifically, when the detection result is that the current account number of the application system is the target account number, the electronic equipment establishes connection with the application system and receives a data storage request sent by the application system, and when the detection result is that the current account number of the application system is not the target account number, connection is not established with the application system and the connection request is cleared.
When the connection between the electronic equipment and the application system is established, the consistency of the login account is judged, the accuracy of data storage can be ensured, and the stored user credit information data is prevented from being abnormal as much as possible.
In the embodiment of the present invention, if the data storage request further carries a file format of credit data, step 130 stores the credit data in a preset first storage interval, which specifically includes:
And 131, inputting the credit data and the file format of the credit data into a preset text recognition model to obtain a text content result output by the text recognition model.
In step 132, the text content results are stored in the first storage section.
The source of credit information data is various, so that the file formats are various, for example, a JPEG file in an image file is only used for storing static images, a GIF file can be used for storing static images and simple animations, a quick file can be used for storing various different media types, a txt file in a text file is generally used for storing simple ASCII or Unicode text without a format, an HTML file can be used for storing text with a format, and a PDF file can be used for storing text with rich contents and a rich text.
In order to facilitate data storage and classification, the embodiment of the invention needs to perform format processing on the credit data before storing the credit data, specifically, the credit data and the file format of the credit data are input into a preset file identification model, the file identification model can be converted into a preset standard format according to the credit data and the file format of the credit data, and the standard format can be binary language. And outputting the conversion result of the file identification model as a text content result, and storing the text content result into a first storage section.
Based on this, step 150 of classifying and integrating the credit data in the first storage section to obtain the metadata index chain of the data storage request specifically includes classifying and integrating the text content result in the first storage section to obtain the metadata index chain of the data storage request.
In a possible embodiment of the present invention, the first storage interval includes a preset number of related credit data models, the related credit data models represent types of credit data, that is, one related credit data model corresponds to one or more credit data types, and step 150, classifying and integrating text content results in the first storage interval to obtain a metadata index chain of the data storage request specifically includes:
and 151, sequentially inputting the text content results into each relevant credit data model to perform data type matching, and determining classification results of the text content results.
Step 152, integrating according to the classification result to obtain the metadata index chain of the data storage request.
And identifying all the relevant credit data models in the electronic equipment, and sorting all the relevant credit data models according to a preset sorting rule after identification, wherein the step of sorting credit data sorting items can be understood as the step of sorting the credit data sorting items so as to sequentially input text content results into each relevant credit data model according to sorting for matching, so as to obtain a matching result, and further obtain a sorting result of the text content results, namely a sorting result of credit data. And establishing a metadata index based on the related credit data model of the first storage interval, so that an integrated metadata index chain can be obtained according to the classification result.
Specifically, step 151, sequentially inputting the text content result into each relevant credit data model for data type matching, and determining the classification result of the text content result, which specifically includes:
A. If the text content result is successfully matched with the first correlation credit data model, filling the text content result into the first correlation credit data model, taking the credit data type corresponding to the first correlation credit data model as a classification result, wherein the first correlation credit data model is any one of all the correlation credit data models.
B. if the text content result fails to be matched with all the related credit data models, a second related credit data model is generated according to the text content result, the text content result is filled into the second related credit data model, and the credit data type corresponding to the second related credit data model is used as a classification result.
In the embodiment of the invention, the text content result is matched with the related credit data model sequentially in sequence. Inputting the text content result into a related credit data model, comparing the data of file format, keyword information and the like, if the comparison result is consistent, confirming that the text content result is successfully matched with the related credit data model, wherein the successfully matched related credit data model is called a first related credit data model, and if the matching is successful, the text content result is classified into the credit data type corresponding to the first related credit data model, and after the matching is successful, the text content result can be filled into the first related credit data model to realize classified storage.
If the matching fails, a new relevant credit data model is generated according to the text content result, a corresponding credit data type is obtained according to the new relevant credit data model, which is called a second relevant credit data model, the second relevant credit data model is arranged to the tail, and the text content result is filled into the second relevant credit data model to realize classified storage. In addition, in the process of storing the credit information data later, the second related credit information data model can be matched with the credit information data to be stored, so that the accurate classification of the credit information data is realized.
After the classification result of the text content result is obtained, the classification result of the user can be integrated, and the metadata index chain is obtained.
In the embodiment of the present invention, the data storage request further carries the collection time of the credit data, and before the credit data is stored in the preset first storage interval in step 130, the method further includes:
Step 121, obtaining a target collection day, where the target collection day is a day between a collection time of credit data and a time of receiving a data storage request.
And step 122, when the target acquisition days are not more than the preset effective acquisition days, continuing to store the credit information data into the preset first storage interval, and when the target acquisition filler data are more than the effective acquisition days, listing the credit information data as invalid credit information data and deleting the credit information data.
By acquiring the target acquisition time and judging whether the target acquisition time is effective, timeliness of credit investigation data can be ensured, so that stored credit investigation data is more convincing.
In the embodiment of the present invention, a credit information data storage device is also provided, and referring to fig. 2, fig. 2 is a block diagram of a credit information data storage device according to an embodiment of the present invention, where the device includes a data obtaining unit 201, a data identifying unit 202, and a data storage unit 203.
The data acquisition unit 201 is configured to acquire a data storage request, where the data storage request carries credit information data to be stored.
The data identification unit 202 is configured to store credit information data in a preset first storage interval.
Classifying and integrating the credit investigation data in the first storage interval to obtain a metadata index chain of the data storage request.
The data storage unit 203 is configured to generate a user identifier based on the generation time and the file format of the metadata index chain, and store the user identifier in a preset second storage section.
The credit investigation data storage device of the embodiment of the invention obtains a data storage request, wherein the data storage request carries credit investigation data to be stored, stores the credit investigation data into a preset first storage interval, classifies and integrates the credit investigation data in the first storage interval to obtain a metadata index chain of the data storage request, generates a user identifier based on the generation time and the file format of the metadata index chain, and stores the user identifier into a preset second storage interval. On one hand, the efficiency of storing and searching the credit information data is improved by classifying and storing the credit information data and establishing a metadata index generation metadata index chain of the first storage section, and on the other hand, the safety of storing the credit information data is improved by storing the generation time of the metadata index chain and the user identification generated by the file format into the second storage section.
FIG. 3 shows an internal block diagram of a computer device in one embodiment of the application. The computer device may specifically be a terminal or a system. As shown in fig. 3, the computer device includes a processor, a memory, and a network interface connected by a system bus. The memory includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system, and may also store a computer program which, when executed by a processor, causes the processor to implement the steps of the method embodiments described above. The internal memory may also have stored therein a computer program which, when executed by a processor, causes the processor to perform the steps of the method embodiments described above. It will be appreciated by those skilled in the art that the structure shown in FIG. 3 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided that includes a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the method embodiments described above.
In one embodiment, a computer-readable storage medium is provided, in which a computer program is stored which, when executed by a processor, causes the processor to perform the steps of the method embodiments described above.
Those skilled in the art will appreciate that the processes implementing all or part of the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, and the program may be stored in a non-volatile computer readable storage medium, and the program may include the processes of the embodiments of the methods as above when executed. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (SYNCHLINK) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112423149A (en) * | 2020-11-19 | 2021-02-26 | 百果园技术(新加坡)有限公司 | Content identification generation method, device, equipment and storage medium |
| CN115454947A (en) * | 2022-09-02 | 2022-12-09 | 中国银行股份有限公司 | Method, device and equipment for storing unstructured data and storage medium |
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