CN108829888B - Non-relational database document management method and device - Google Patents
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Abstract
The invention discloses a method and a device for managing documents of a non-relational database, wherein the method comprises the following steps: creating a document verification model of the target non-relational database; acquiring a document to be stored of the non-relational data; matching the initial field in the document to be stored with the document verification field in the document verification model to obtain a matching result; according to the matching result, acquiring a target field of the document to be stored and a field value corresponding to the target field; and storing the target to-be-stored document to the target relational database, wherein the target to-be-stored document comprises the target field and a field value corresponding to the target field. The invention achieves the purpose of improving the convenience of management and maintenance of the non-relational database.
Description
Technical Field
The invention relates to the technical field of non-relational databases, in particular to a method and a device for managing documents of a non-relational database.
Background
At present, data are generally divided into relational databases and non-relational databases according to structural features of the data. Traditional relational databases generally consist of three levels of concepts, database, table, record, whereas non-relational databases consist of three levels of database, collection, and document objects. Since the relational database generally has a fixed table structure and needs to be modified by DDL (Data Definition Language), it is not easy to expand the table structure. The storage mechanism of the non-relational database is relatively crossed, and the data format is more flexible and has no fixed table structure, so that the expansion is convenient.
However, existing non-relational databases are mostly document databases, and since there is no requirement for the structure of documents, the stored document structure is not standardized, but when developers maintain and manage the non-relational databases in the later period, various inconveniences in maintenance and management are caused due to diversified document structures, and further, the maintenance cost of the non-relational databases is increased.
Disclosure of Invention
In view of the above problems, the present invention provides a method and an apparatus for managing documents in a non-relational database, which achieve the purpose of improving convenience of management and maintenance of the non-relational database.
In order to achieve the purpose, the invention provides the following technical scheme:
a non-relational database document management method includes:
creating a document verification model of the target non-relational database;
acquiring a document to be stored of the non-relational data;
matching the initial field in the document to be stored with the document verification field in the document verification model to obtain a matching result;
according to the matching result, acquiring a target field of the document to be stored and a field value corresponding to the target field;
and storing the target to-be-stored document to the target non-relational database, wherein the target to-be-stored document comprises the target field and a field value corresponding to the target field.
Optionally, the creating a document verification model of the target non-relational database includes:
determining an application type of the target non-relational database;
determining a document check field of the target non-relational database according to the application type;
setting a corresponding preset field value of each document check field;
and generating a mapping relation between the document verification field and a preset field value corresponding to the document verification field, and creating and obtaining the document verification model according to the mapping relation.
Optionally, the matching the initial field in the document to be stored with the document verification field in the document verification model to obtain a matching result includes:
acquiring an initial field in the document to be stored;
extracting a document verification field in the document verification model;
judging whether the initial fields are matched with the document check fields or not, and if not, judging whether the number of the initial fields is less than that of the document check fields or not;
if yes, generating a matching result of the lack of the field;
and if not, generating a matching result of the redundant fields.
Optionally, the obtaining, according to the matching result, a target field of the document to be stored and a field value corresponding to the target field includes:
responding to the matching result of the absent field, supplementing the field of the document to be stored according to the document check field, and generating a target field;
in response to the matching result of the redundant fields, eliminating the redundant fields in the initial fields according to the document check fields to generate target fields;
and determining a field value corresponding to the target field according to a preset field value corresponding to the document verification field.
Optionally, the method further comprises:
and if the field value corresponding to the target field cannot be acquired, generating early warning information, wherein the early warning information is used for prompting that the document structure of the document to be stored is abnormal when the document to be stored is stored in the non-relational database.
A non-relational database document management apparatus comprising:
the model creating unit is used for creating a document verification model of the target non-relational database;
the document acquisition unit is used for acquiring a document to be stored of the non-relational data;
the document verification unit is used for matching the initial field in the document to be stored with the document verification field in the document verification model to obtain a matching result;
a field obtaining unit, configured to obtain a target field of the document to be stored and a field value corresponding to the target field according to the matching result;
and the document storage unit is used for storing a target to-be-stored document to the target non-relational database, wherein the target to-be-stored document comprises the target field and a field value corresponding to the target field.
Optionally, the model creating unit includes:
the first determining subunit is used for determining the application type of the target non-relational database;
the second determining subunit is used for determining the document check field of the target non-relational database according to the application type;
the setting unit is used for setting a corresponding preset field value of each document checking field;
and the creating subunit is used for generating a mapping relation between the document verification field and a preset field value corresponding to the document verification field, and creating and obtaining the document verification model according to the mapping relation.
Optionally, the document verification unit includes:
a field obtaining subunit, configured to obtain an initial field in the document to be stored;
the field extraction subunit is used for extracting the document verification field in the document verification model;
the judging subunit is used for judging whether the initial fields are matched with the document check fields, and if not, judging whether the number of the initial fields is less than that of the document check fields;
if yes, generating a matching result of the lack of the field;
and if not, generating a matching result of the redundant fields.
Optionally, the field obtaining unit includes:
the first generation subunit is used for responding to the matching result of the absent field, supplementing the field of the document to be stored according to the document check field and generating a target field;
the second generation subunit is used for responding to the matching result of the redundant fields, eliminating the redundant fields in the initial fields according to the document check fields and generating target fields;
and the field value determining subunit is used for determining the field value corresponding to the target field according to the preset field value corresponding to the document checking field.
Optionally, the method further comprises:
and the early warning unit is used for generating early warning information if the field value corresponding to the target field cannot be acquired, wherein the early warning information is used for prompting that the document structure of the document to be stored is abnormal when the document to be stored is stored in the non-relational database.
Compared with the prior art, the invention provides a method and a device for managing documents in a non-relational database, which match fields in a document to be stored according to the fields in a document check model after receiving the document to be stored through the document check model of target non-relational data, modify corresponding fields and field values according to a matching structure, and store the modified document to be stored, so that the documents in the non-relational database can be generated and stored according to a uniform model, the structure of the stored data of the document is ensured to be uniform, maintenance and development of the non-relational data by subsequent developers are facilitated, and the aim of improving the convenience of management and maintenance of the non-relational database is fulfilled.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flowchart illustrating a method for managing documents in a non-relational database according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method for creating a document verification model according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating a method for checking a document field according to an embodiment of the present invention;
FIG. 4 is a diagram illustrating a field matching scenario of a non-relational database document according to an embodiment of the present invention;
FIG. 5 is a diagram illustrating a non-relational database document management apparatus according to an embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first" and "second," and the like in the description and claims of the present invention and the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not set forth for a listed step or element but may include steps or elements not listed.
The embodiment of the invention provides a non-relational database document management method, which improves the convenience of management and maintenance of a non-relational database by setting a document verification model.
Referring to fig. 1, the method may include the steps of:
and S11, creating a document checking model of the target non-relational database.
For developers, there are usually a plurality of non-relational databases to be maintained and managed, and the processing manner varies according to the type of each non-relational database, so that a target non-relational database needs to be determined first.
Because the data structure stored in the non-relational database is not fixed, the embodiment of the invention provides a document verification model which is mainly used for unifying the data format of the document to be stored. Referring to fig. 2, another embodiment of the present invention further provides a method for creating a document verification model, which may include:
s111, determining the application type of the target non-relational database;
the non-relational database has a wide application field, and the document verification model can be accurately determined according to the application type, for example, when the non-relational database is applied to the field of electronic commerce and the non-relational database is applied to the field of identity information storage, the stored document data structures are different, and the corresponding document verification models to be generated are also different.
S112, determining a document check field of the target non-relational database according to the application type;
the document verification model in the embodiment of the invention mainly comprises a field which can represent a data structure and a field value corresponding to the field. After the application type of the target non-relational database is determined, a document check field needs to be preset, for example, the document check field in the document check model corresponding to the non-relational database in which the application type is stored as identity information may include: name, contact information, identity card number, place of household registration, place of residence and the like; the document verification fields in the document verification model corresponding to the non-relational database to be applied to the electronic commerce may include: product name, product parameters, product price, product origin, operating cost, etc. That is, the application types are different, and the corresponding document verification fields are different, but the preset document verification field needs to meet the maintenance and management requirements of the non-relational data of the application type, that is, the field can facilitate the calling and verification of developers.
S113, setting a corresponding preset field value of each document check field;
each document check field is matched with a preset field value correspondingly, the preset field value is set correspondingly according to the field meaning, for example, when the document check field is 'nationality', the corresponding default field value is China, and if the document check field is 'gender', the corresponding default field value is secret. It should be noted that the preset field value does not necessarily match the actual requirement of the document to be stored, so another function of the default field value may also be to remind the user to modify the preset field value according to the actual requirement.
S114, generating a mapping relation between the document verification field and a preset field value corresponding to the document verification field, and creating and obtaining the document verification model according to the mapping relation.
After the mapping relation between the document check field and the preset field value is packaged, a plurality of combinations of the document check field and the field value are generated, and the combinations generate a final document check model. That is, each document verification model includes a plurality of document verification fields, and each document verification field corresponds to a preset field value.
S12, acquiring the document to be stored of the non-relational data;
s13, matching the initial field in the document to be stored with the document verification field in the document verification model to obtain a matching result.
After the document verification model is created and finally determined, the fields in the document to be stored need to be verified, that is, the fields are matched with the preset document verification fields in the document verification model, so that whether the data structure of the document to be stored meets the preset requirement can be judged.
Referring to fig. 3, in another embodiment of the present invention, a method for checking a document field is further provided, which may include the following steps:
s131, acquiring an initial field in the document to be stored;
s132, extracting a document verification field in the document verification model;
s133, judging whether the initial field is matched with the document check field, and if not, executing S134;
s134, judging whether the number of the initial fields is smaller than that of the document check fields, if so, executing S135, and if not, executing S136;
s135, generating a matching result of the lack of the field;
and S136, generating a matching result of the redundant fields.
It should be noted that, a field of an original characterizing data structure in a document to be stored is defined as an initial field, the initial field needs to be matched with a document verification field in a corresponding document verification model, and if the initial field and the document verification field are completely matched, that is, the initial field and the document verification field are completely consistent, including uniform in quantity and content, the initial field is not changed, and the document to be stored is directly stored. If the matching is not successful, the number of the initial fields is judged, and whether the initial fields lack the corresponding document verification fields or are redundant is determined, namely the final purpose is to ensure that the fields in the subsequent documents to be stored are completely consistent with the fields in the document verification model.
S14, according to the matching result, acquiring a target field of the document to be stored and a field value corresponding to the target field;
specifically, the method may include:
responding to the matching result of the absent field, supplementing the field of the document to be stored according to the document check field, and generating a target field;
and in response to the matching result of the redundant fields, eliminating the redundant fields in the initial fields according to the document check fields to generate target fields.
And determining a field value corresponding to the target field according to a preset field value corresponding to the document verification field.
And responding to different matching results to process the initial field in the document to be stored, and ensuring that the initial field is consistent with the document check field finally. It should be noted that, the above is only one processing method, and if the number of the fields in the document to be stored is small and the redundant fields are included at the same time, the redundant fields need to be removed and then the missing fields need to be supplemented, so that flexible processing can be performed according to actual situations, as long as it is ensured that the fields of the document to be stored, which are finally stored in the target non-relational database, are consistent with those in the model.
S15, storing the target to-be-stored document to the target non-relational database, wherein the target to-be-stored document comprises the target field and the field value corresponding to the target field.
And finally, the data structure of the document stored in the non-relational database is ensured to be unified.
The invention provides a method for managing documents in a non-relational database, which comprises the steps of matching fields in a document to be stored according to fields in a document check model after receiving the document to be stored through the document check model of target non-relational data, modifying corresponding fields and field values according to a matching structure, and storing the modified document to be stored, so that the documents in the non-relational database can be generated and stored according to a uniform model, the uniform structure of the stored data of the document is ensured, maintenance and development of the non-relational data by subsequent developers are facilitated, and the aim of improving the convenience of management and maintenance of the non-relational database is fulfilled.
The solution of the invention is described below in terms of a non-relational database that is applied in the storage of identity information.
Referring to fig. 4, the documents to be stored in the relational database include a document a and a document B, and the fields included in the document a and the field values corresponding to the fields are respectively:
name: li Ming (Li Ming)
Age: 20
The method comprises the following steps: shandong (mountain east)
The fields included in the document B and the field values corresponding to the fields are respectively:
name: lvrong medicine
The method comprises the following steps: hebei river
Sex: woman
Telephone: 137*****123
The fields included in the document verification model and the field values corresponding to the fields are respectively as follows:
name: anonymous
Age: security
The method comprises the following steps: china (China)
Sex: is not disclosed
Telephone: security
After the document verification model is used for verification and the field is corrected, the corresponding document A comprises:
name: li Ming (Li Ming)
Age: 20
The method comprises the following steps: shandong (a mountain of heaven)
Sex: is not disclosed
Telephone: security
The B document includes:
name: lvrong medicine
Age: security
The method comprises the following steps: hebei river
Sex: woman
Telephone: 137*****123
It should be noted that, for an existing field, a field value corresponding to the existing field is retained, and if an existing field is supplemented with the existing field, a preset field value of the existing field needs to be added, and field values of all documents to be stored are not changed to the preset field value.
In another embodiment of the present invention further comprises:
and if the field value corresponding to the target field cannot be acquired, generating early warning information, wherein the early warning information is used for prompting that the document structure of the document to be stored is abnormal when the document to be stored is stored in the non-relational database.
If some preset document verification fields in the document verification model have no preset field value and the corresponding document to be stored has no given field value, early warning information can be automatically generated to prompt that the document structure of the document to be stored is abnormal, so that a user or a developer can be prompted to supplement or correct the field.
Of course, before the data structure of the document to be stored is finally generated, the corrected or supplemented field may be sent to the corresponding storage user, and the user may modify the preset field value to more meet the actual requirement.
The constraint on the document data structure can be increased through the document verification model, and the expansion is flexible; because the field setting is carried out in advance, each developer can check the preset field in the document verification model by calling the attribute of the document verification model, the collaborative development is facilitated, and the later maintenance cost is greatly reduced; and the document verification model can not cause rewriting of any form to the characteristics of the bottom database of the non-relational database, does not change the characteristics of the database, and is convenient for migration and large-scale application.
In another embodiment of the present invention, there is also provided a non-relational data document management apparatus, referring to fig. 5, including:
a model creating unit 10 for creating a document verification model of the target non-relational database;
a document acquiring unit 20 configured to acquire a document to be stored of the non-relational data;
the document verification unit 30 is configured to match an initial field in the document to be stored with a document verification field in the document verification model to obtain a matching result;
a field obtaining unit 40, configured to obtain, according to the matching result, a target field of the document to be stored and a field value corresponding to the target field;
and the document storage unit 50 is configured to store a target to-be-stored document to the target non-relational database, where the target to-be-stored document includes the target field and a field value corresponding to the target field.
The invention provides a non-relational database document management device, which creates a document verification model of target non-relational data through a model creation unit, matches fields in a document to be stored according to the fields in the document verification model in a document verification unit and a field acquisition unit after receiving the document to be stored, then modifies corresponding fields and field values according to a matching structure, and stores the modified document to be stored, so that the documents in the non-relational database can be generated and stored according to a uniform model, the structure of the stored data of the document is uniform, maintenance and development of the non-relational data by subsequent developers are facilitated, and therefore, the aim of improving the convenience of management and maintenance of the non-relational database is fulfilled.
On the basis of the above non-relational database document management apparatus, optionally, the model creating unit includes:
the first determining subunit is used for determining the application type of the target non-relational database;
the second determining subunit is used for determining the document check field of the target non-relational database according to the application type;
the setting unit is used for setting a corresponding preset field value of each document check field;
and the creating subunit is used for generating a mapping relation between the document verification field and a preset field value corresponding to the document verification field, and creating and obtaining the document verification model according to the mapping relation.
Optionally, the document verification unit includes:
a field obtaining subunit, configured to obtain an initial field in the document to be stored;
the field extraction subunit is used for extracting the document verification field in the document verification model;
the judging subunit is used for judging whether the initial fields are matched with the document check fields, and if not, judging whether the number of the initial fields is less than that of the document check fields;
if yes, generating a matching result of the lack of the field;
and if not, generating a matching result of the redundant fields.
Optionally, the field obtaining unit includes:
the first generation subunit is used for responding to the matching result of the absent field, supplementing the field of the document to be stored according to the document check field and generating a target field;
and the second generation subunit is used for responding to the matching result of the redundant fields, eliminating the redundant fields in the initial fields according to the document check fields and generating target fields.
And the field value determining subunit is used for determining the field value corresponding to the target field according to the preset field value corresponding to the document verification field.
Optionally, the method further comprises:
and the early warning unit is used for generating early warning information if the field value corresponding to the target field cannot be acquired, wherein the early warning information is used for prompting that the document structure of the document to be stored is abnormal when the document to be stored is stored in the non-relational database.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (6)
1. A non-relational database document management method, comprising:
creating a document verification model of the target non-relational database; the creating of the document verification model of the target non-relational database comprises the following steps:
determining the application type of the target non-relational database; determining a document check field of the target non-relational database according to the application type; setting a corresponding preset field value of each document check field; generating a mapping relation between the document verification field and a preset field value corresponding to the document verification field, and creating and obtaining the document verification model according to the mapping relation;
acquiring a document to be stored of the non-relational data;
matching the initial field in the document to be stored with the document verification field in the document verification model to obtain a matching result;
according to the matching result, acquiring a target field of the document to be stored and a field value corresponding to the target field; the obtaining a target field of the document to be stored and a field value corresponding to the target field according to the matching result includes: responding to the matching result of the absent field, supplementing the field of the document to be stored according to the document check field, and generating a target field; in response to the matching result of the redundant fields, eliminating the redundant fields in the initial fields according to the document check fields to generate target fields; determining a field value corresponding to the target field according to a preset field value corresponding to the document verification field;
and storing the target to-be-stored document to the target non-relational database, wherein the target to-be-stored document comprises the target field and a field value corresponding to the target field.
2. The method according to claim 1, wherein the matching an initial field in the document to be stored with a document verification field in the document verification model to obtain a matching result comprises:
acquiring an initial field in the document to be stored;
extracting a document verification field in the document verification model;
judging whether the initial fields are matched with the document check fields or not, and if not, judging whether the number of the initial fields is less than that of the document check fields or not;
if yes, generating a matching result of the lack of the field;
and if not, generating a matching result of the redundant fields.
3. The method of claim 1, further comprising:
and if the field value corresponding to the target field cannot be acquired, generating early warning information, wherein the early warning information is used for prompting that the document structure of the document to be stored is abnormal when the document to be stored is stored in the non-relational database.
4. A non-relational database document management apparatus comprising:
the model creating unit is used for creating a document verification model of the target non-relational database; the model creation unit includes:
the first determining subunit is used for determining the application type of the target non-relational database;
the second determining subunit is used for determining the document check field of the target non-relational database according to the application type;
the setting unit is used for setting a corresponding preset field value of each document check field;
the creating subunit is configured to generate a mapping relationship between the document verification field and a preset field value corresponding to the document verification field, and create and obtain the document verification model according to the mapping relationship;
the document acquisition unit is used for acquiring a document to be stored of the non-relational data;
the document verification unit is used for matching the initial field in the document to be stored with the document verification field in the document verification model to obtain a matching result;
a field obtaining unit, configured to obtain a target field of the document to be stored and a field value corresponding to the target field according to the matching result; the field acquisition unit includes:
the first generation subunit is used for responding to the matching result of the absent field, supplementing the field of the document to be stored according to the document check field and generating a target field;
the second generation subunit is used for responding to the matching result of the redundant fields, eliminating the redundant fields in the initial fields according to the document check fields and generating target fields;
a field value determining subunit, configured to determine, according to a preset field value corresponding to the document verification field, a field value corresponding to the target field;
and the document storage unit is used for storing a target to-be-stored document to the target non-relational database, wherein the target to-be-stored document comprises the target field and a field value corresponding to the target field.
5. The apparatus of claim 4, wherein the document verification unit comprises:
a field obtaining subunit, configured to obtain an initial field in the document to be stored;
a field extraction subunit, configured to extract a document verification field in the document verification model;
the judging subunit is used for judging whether the initial fields are matched with the document check fields, and if not, judging whether the number of the initial fields is less than that of the document check fields;
if yes, generating a matching result of the lack field;
and if not, generating a matching result of the redundant fields.
6. The apparatus of claim 4, further comprising:
and the early warning unit is used for generating early warning information if the field value corresponding to the target field cannot be acquired, wherein the early warning information is used for prompting that the document structure of the document to be stored is abnormal when the document to be stored is stored in the non-relational database.
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| CN105574042A (en) * | 2014-10-17 | 2016-05-11 | 中国移动通信集团公司 | Processing method and apparatus for electronic health record data |
| CN105117431A (en) * | 2015-08-07 | 2015-12-02 | 北京思特奇信息技术股份有限公司 | Dynamic configuration method and system for external imported data |
| CN106294665A (en) * | 2016-08-05 | 2017-01-04 | 浪潮软件股份有限公司 | Method and device for storing student status data |
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