CN106815246A - Document storing method and device in non-relational database - Google Patents

Document storing method and device in non-relational database Download PDF

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Publication number
CN106815246A
CN106815246A CN201510862287.3A CN201510862287A CN106815246A CN 106815246 A CN106815246 A CN 106815246A CN 201510862287 A CN201510862287 A CN 201510862287A CN 106815246 A CN106815246 A CN 106815246A
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China
Prior art keywords
destination document
document
forms
typed
strongly
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CN201510862287.3A
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Inventor
储雨知
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Beijing Gridsum Technology Co Ltd
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Beijing Gridsum Technology Co Ltd
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Priority to CN201510862287.3A priority Critical patent/CN106815246A/en
Publication of CN106815246A publication Critical patent/CN106815246A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/93Document management systems

Abstract

This application discloses document storing method and device in a kind of non-relational database.The method includes:Obtain the destination document of Json forms;The destination document of Json forms is converted into the destination document of Bson forms;The attribute of the destination document of Bson forms and object-oriented strongly-typed attribute are set up into mapping relations;And the destination document that the Bson forms of mapping relations have been set up with object-oriented strongly-typed attribute is converted into the destination document of strongly-typed, and the destination document of strongly-typed is stored to non-relational database.By the application, solve in correlation technique due to the document direct copying of Json forms being entered in non-relational database, cause the problem of the easy error of data in subsequent read non-relational database.

Description

Document storing method and device in non-relational database
Technical field
The application is related to database field, in particular to the document storing method in a kind of non-relational database And device.
Background technology
At present, it is necessary to the document of Json forms is added in non-relational database, example under some business scenarios Such as, the document of Json forms is added in mongodb.Generally, it is in correlation technique that the document of Json forms is straight Connect and copy into mongodb, however, the number in the document for subsequently needing to read Json forms from mongodb According to when, because the data type in the document of Json forms is not default strongly-typed, when unserializing is carried out, hold It is easily caused corrupt data in reading mongodb.
It is follow-up for due to the document direct copying of Json forms being entered in non-relational database, causing in correlation technique The problem of the easy error of data in non-relational database is read, effective solution is not yet proposed at present.
The content of the invention
The main purpose of the application is to provide the document storing method and device in a kind of non-relational database, to solve Certainly cause subsequent reads negated due to the document direct copying of Json forms being entered in non-relational database in correlation technique The problem that data easily malfunction in relevant database.
To achieve these goals, according to the one side of the application, there is provided the text in a kind of non-relational database Shelves storage method.The method includes:Obtain the destination document of Json forms;The destination document of Json forms is converted into The destination document of Bson forms;The attribute of the destination document of Bson forms is set up with object-oriented strongly-typed attribute and is reflected Penetrate relation;And be converted into the destination document that the Bson forms of mapping relations have been set up with object-oriented strongly-typed attribute The destination document of strongly-typed, and the destination document of strongly-typed is stored to non-relational database.
Further, the destination document that the destination document of Json forms is converted into Bson forms is included:Call The destination document of Json forms is converted into BsonDocument classes the destination document of Bson forms.
Further, the destination document of strongly-typed is stored to non-relational database includes:Call MongoDatabase Class and MongodbCollection classes carry out serializing treatment to the destination document of strongly-typed;And after serializing is processed The destination document of strongly-typed store to non-relational database.
Further, the destination document for obtaining Json forms includes:The document of Json forms is determined in multiple documents; The absolute path of the destination document of Json forms is determined from the document of Json forms;And read from absolute path The destination document of Json forms.
Further, non-relational database is mongodb.
Further, stored to non-relational database by the destination document of strongly-typed, the method also includes: Read the document stored in mongodb;Document to being stored in the mongodb that reads carries out unserializing treatment; And the document after unserializing is processed is sent to destination address.
To achieve these goals, according to the another aspect of the application, there is provided the text in a kind of non-relational database Shelves storage device.The device includes:Acquiring unit, the destination document for obtaining Json forms;Conversion unit, uses In the destination document that the destination document of Json forms is converted into Bson forms;Creating unit, for by Bson forms Attribute and the object-oriented strongly-typed attribute of destination document set up mapping relations;And memory cell, for will be with face The destination document that the Bson forms of mapping relations have been set up to object strongly-typed attribute is converted into the destination document of strongly-typed, And store to non-relational database the destination document of strongly-typed.
Further, conversion unit is additionally operable to call BsonDocument classes to be converted into the destination document of Json forms The destination document of Bson forms.
Further, memory cell includes:Processing module, for calling MongoDatabase classes and MongodbCo Llection classes carry out serializing treatment to the destination document of strongly-typed;And memory module, after serializing is processed The destination document of strongly-typed store to non-relational database.
Further, acquiring unit includes:First determining module, the text for determining Json forms in multiple documents Shelves;Second determining module, the absolute path of the destination document for determining Json forms from the document of Json forms; And read module, the destination document for reading Json forms from absolute path.
By the application, using following steps:Obtain the destination document of Json forms;By the destination document of Json forms It is converted into the destination document of Bson forms;By the attribute of the destination document of Bson forms and object-oriented strongly-typed attribute Set up mapping relations;And the destination document of the Bson forms of mapping relations will have been set up with object-oriented strongly-typed attribute The destination document of strongly-typed is converted into, and the destination document of strongly-typed is stored to non-relational database, solve phase Due to the document direct copying of Json forms being entered in non-relational database in the technology of pass, cause the negated relation of subsequent reads The problem that data easily malfunction in type database.That is, the destination document of Json forms is first converted into Bson by the application The destination document of form, then the attribute of the destination document of Bson forms is converted into strongly-typed, it is then stored into non-relational In database, and then reading data be not easy during unserializing subsequently in non-relational database to have reached guarantee The effect of error.
Brief description of the drawings
The accompanying drawing for constituting the part of the application is used for providing further understanding of the present application, the schematic reality of the application Apply example and its illustrate for explaining the application, do not constitute the improper restriction to the application.In the accompanying drawings:
Fig. 1 is the flow chart of the document storing method in the non-relational database according to the embodiment of the present application;And
Fig. 2 is the schematic diagram of the document storage in the non-relational database according to the embodiment of the present application.
Specific embodiment
It should be noted that in the case where not conflicting, the feature in embodiment and embodiment in the application can phase Mutually combination.Describe the application in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
In order that those skilled in the art more fully understand application scheme, below in conjunction with the embodiment of the present application Accompanying drawing, is clearly and completely described to the technical scheme in the embodiment of the present application, it is clear that described embodiment The only embodiment of the application part, rather than whole embodiments.Based on the embodiment in the application, ability The every other embodiment that domain those of ordinary skill is obtained under the premise of creative work is not made, should all belong to The scope of the application protection.
It should be noted that term " first ", " in the description and claims of this application and above-mentioned accompanying drawing Two " it is etc. for distinguishing similar object, without for describing specific order or precedence.It should be appreciated that this The data that sample is used can be exchanged in the appropriate case, so as to embodiments herein described herein.Additionally, term " comprising " and " having " and their any deformation, it is intended that covering is non-exclusive to be included, for example, comprising The process of series of steps or unit, method, system, product or equipment are not necessarily limited to those steps clearly listed Rapid or unit, but may include not listing clearly or intrinsic for these processes, method, product or equipment Other steps or unit.
For the ease of description, below to the invention relates to several terms illustrate:
Mongo DB are at present in a kind of popular non-relational database (NoSql) of IT industries, its flexible number The favor of current IT practitioner is enjoyed according to storage mode.Mongo DB realize the thought of object-oriented well (OO thoughts), each record is all a Document object in Mongo DB.Mongo DB maximums Advantage is that all of lasting data operation all writes SQL statement manually without developer, and the method for directly invoking can Easily to realize that CRUD is operated.
Strongly-typed is referred to as " strongly-typed " for all variable specified data types.By force/weak type refers to the strict of type checking Degree.Language whether there is three kinds of type, weak type and strongly-typed.It is typeless not check, in addition do not differentiate between instruction and Data.The inspection of weak type is very weak, is only capable of strict differentiation instruction and data.Strongly-typed it is then strict in compiling duration Checked.Strongly typed language does not allow two distinct types of variable mutual operation before the conversion of no forced type. Java, C#, Apex and Python etc. are strongly typed languages.
Bson is a kind of storage format of binary form of a species Json, abbreviation Binary Json, it and Json Equally, embedded document object and array object is supported, but Bson has some no data types of Json, such as Date and BinData types.Bson can be as a kind of storage form of network data exchange, and this is somewhat similarly to The Protocol Buffer of Google, but Bson is a kind of storage form of schema-less, and its advantage is flexible Property is high, but its shortcoming is less desirable space availability ratio.Bson has three features:Light weight, traversability, High efficiency.{"hello":" world " } this is an example of Bson, wherein " hello " is key name, it is usually Cstring types, byte representation is cstring::=(byte*) "/x00 ", wherein * represent zero or more byte bytes ,/x00 Represent end mark;" world " below is value values, and its type is usually string, double, array, binarydata Etc. type.
Serializing is defined as the process in state storage to the storage medium by object.In the process, the public affairs of object The title (including the procedure set comprising such) of field and privately owned field and class is all converted into byte stream altogether, then Write-in data flow.Afterwards during " unserializing " object, the accurate duplicate of primary object is created.Specifically, sequence Rowization refer to that an example for object can be saved, and preserve into a binary string, certainly, once it is saved into two System string, then text string can also be preserved into.Such as, a counter, numerical value is 2, and we can use word Symbol string " 2 " is represented.If individual object, it is called connter, currency is 2, then " 2 " can be melted into sequence, Reverse, it is also possible to obtain the counter example that value is 2 from " 2 ".So, shutdown time seriesization it, it is anti-during start It is serialized, start every time is all to continue.Will not all start anew.The proposition and realization of concept are serialized, can So as to the configuration information of our application program is preserved and read more facilitate.Serializing has many benefits, such as, An example is produced on one machine, initialization is finished, then can serialized, and another machine is sent to by network Device, then unserializing, obtains object instance, performs some service logics again afterwards, obtains result, then serializes, First machine is returned to, First machine obtains object instance, obtains result.
One reason of unserializing is that the state of object is maintained in storage media, so as to create again afterwards Build accurate copy;Another reason is that object is sent into another application program from an Application Domain by being worth In domain.For example, serializing can be used in ASP.NET preserving session state and by object tools to Windows windows In the clipbook of body.From an Application Domain can also be delivered to separately object by value using serializing by remote processing In one Application Domain.
According to embodiments herein, there is provided the document storing method in a kind of non-relational database.
Fig. 1 is the flow chart of the document storing method in the non-relational database according to the embodiment of the present application.Such as Fig. 1 Shown, the method is comprised the following steps:
Step S101, obtains the destination document of Json forms.
Alternatively, in the document storing method in the non-relational database that the embodiment of the present application is provided, Json is obtained The destination document of form includes:The document of Json forms is determined in multiple documents;Determine from the document of Json forms The absolute path of the destination document of Json forms;And the destination document of Json forms is read from absolute path.
For example, the absolute path of the destination document of Json forms is C:\SPCSPL\jobIni.Json.txt;Use FileStream File is read with the class such as StreamReader, the destination document of Json forms is got.The Json forms for getting Destination document is the form of character string.
Step S102, the destination document of Json forms is converted into the destination document of Bson forms.
Alternatively, in the document storing method in the non-relational database that the embodiment of the present application is provided, by Json lattice The destination document that the destination document of formula is converted into Bson forms includes:BsonDocument classes are called by Json forms Destination document is converted into the destination document of Bson forms.
Step S103, mapping relations are set up by the attribute of the destination document of Bson forms and object-oriented strongly-typed attribute.
For example, setting BsonClassMap class examples, the attribute and the strong classes of .NET of the destination document of Bson forms are specified The mapping relations of type attribute.
Step S104, the destination document that the Bson forms of mapping relations will have been set up with object-oriented strongly-typed attribute turns The destination document of strongly-typed is turned to, and the destination document of strongly-typed is stored to non-relational database.
In order to ensure subsequently in non-relational database read data carry out unserializing when do not allow it is error-prone, to text Before shelves are stored, strongly-typed is converted into advance, it is follow-up in reading non-relational database and anti-so as to ensure that Do not allow during serializing error-prone.
Alternatively, in the document storing method in the non-relational database that the embodiment of the present application is provided, non-relational Database is mongodb.
The destination document that the Bson forms of mapping relations have been set up with object-oriented strongly-typed attribute is converted into strongly-typed Destination document can call BsonDocument classes example read BsonDocument documents, call BsonClass MapSerializer class examples, by Bson readers and the information of BsonClassMap, can access strongly-typed Destination document.
Alternatively, in the document storing method in the non-relational database that the embodiment of the present application is provided, by strongly-typed Destination document store to non-relational database and include:Call MongoDatabase classes and MongodbCollection Class carries out serializing treatment to the destination document of strongly-typed;And the destination document of the strongly-typed after serializing is processed is deposited Store up to non-relational database.
Stored to before non-relational database by the destination document of strongly-typed, MongoDatabase classes are called in advance Serializing treatment is carried out to the destination document of strongly-typed with MongodbCollection classes, i.e., is done in advance at a serializing Reason, so as to ensure that it is follow-up do not allow when non-relational database and unserializing is read it is error-prone.
Alternatively, in the document storing method in the non-relational database that the embodiment of the present application is provided, by strong class The destination document of type is stored to non-relational database, and the method also includes:Read the text stored in mongodb Shelves;Document to being stored in the mongodb that reads carries out unserializing treatment;And after unserializing is processed Document is sent to destination address.
Will the attribute of destination document of Bson forms be converted to strongly-typed, be then stored into mongodb, reading During the document stored in mongodb, unserializing treatment can be carried out to the document stored in the mongodb that reads; Due in mongodb store be all strongly-typed target text, it is carried out unserializing process when, it is ensured that Do not allow error-prone, and document after unserializing is processed sent to destination address.
Document storing method in the non-relational database that the embodiment of the present application is provided, by the mesh for obtaining Json forms Mark document;The destination document of Json forms is converted into the destination document of Bson forms;By the target text of Bson forms The attribute of shelves sets up mapping relations with object-oriented strongly-typed attribute;And will have been set up with object-oriented strongly-typed attribute The destination document of the Bson forms of mapping relations is converted into the destination document of strongly-typed, and the destination document of strongly-typed is deposited Storage is solved in correlation technique due to the document direct copying of Json forms is entered into non-relational to non-relational database In database, cause the problem of the easy error of data in subsequent read non-relational database.I.e. first by Json forms Destination document is converted into the destination document of Bson forms, then the attribute of the destination document of Bson forms is converted into strong class Type, is then stored into non-relational database, so reached guarantee data are subsequently read in non-relational database Carry out not allowing error-prone effect during unserializing.
It should be noted that can be in such as one group computer executable instructions the step of the flow of accompanying drawing is illustrated Performed in computer system, and, although logical order is shown in flow charts, but in some cases, can Shown or described step is performed with different from order herein.
The embodiment of the present application additionally provides the document storage in a kind of non-relational database, it is necessary to illustrate, Document storage in the non-relational database of the embodiment of the present application can be used for execution the embodiment of the present application and be provided For the document storing method in non-relational database.The non-relational data for providing the embodiment of the present application below Document storage in storehouse is introduced.
Fig. 2 is the schematic diagram of the document storage in the non-relational database according to the embodiment of the present application.Such as Fig. 2 Shown, the device includes:Acquiring unit 10, conversion unit 20, creating unit 30 and memory cell 40.
Acquiring unit 10, the destination document for obtaining Json forms.
Conversion unit 20, the destination document for the destination document of Json forms to be converted into Bson forms.
Creating unit 30, reflects for the attribute of the destination document of Bson forms to be set up with object-oriented strongly-typed attribute Penetrate relation.
Memory cell 40, for the target of the Bson forms by mapping relations have been set up with object-oriented strongly-typed attribute Document is converted into the destination document of strongly-typed, and the destination document of strongly-typed is stored to non-relational database.
Document storage in the non-relational database that the embodiment of the present application is provided, is obtained by acquiring unit 10 The destination document of Json forms;The destination document of Json forms is converted into conversion unit 20 the target text of Bson forms Shelves;The attribute of the destination document of Bson forms and object-oriented strongly-typed attribute are set up mapping relations by creating unit 30; And memory cell 40 will set up the destination document turn of the Bson forms of mapping relations with object-oriented strongly-typed attribute The destination document of strongly-typed is turned to, and the destination document of strongly-typed is stored to non-relational database, solve correlation Due to the document direct copying of Json forms being entered in non-relational database in technology, cause subsequent read non-relational The destination document of Json forms is converted into Bson by the problem that data easily malfunction in database, i.e., first conversion unit 20 The attribute of the destination document of Bson forms is converted to strongly-typed by the destination document of form, then memory cell 40, then is deposited In storing up non-relational database, and then the follow-up data that read in non-relational database of guarantee are reached and have carried out inverted sequence Error-prone effect is not allowed during rowization.
Alternatively, in the document storage in the non-relational database that the embodiment of the present application is provided, conversion unit 20 are additionally operable to the destination document that calls BsonDocument classes that the destination document of Json forms is converted into Bson forms.
Alternatively, in the document storage in the non-relational database that the embodiment of the present application is provided, memory cell 40 include:Processing module, for calling MongoDatabase classes and MongodbCollection classes to strongly-typed Destination document carries out serializing treatment;And memory module, for serializing to be processed after strongly-typed destination document Store to non-relational database.
Alternatively, in the document storage in the non-relational database that the embodiment of the present application is provided, acquiring unit 10 include:First determining module, the document for determining Json forms in multiple documents;Second determining module, uses In the absolute path of the destination document that Json forms are determined from the document of Json forms;And read module, for from The destination document of Json forms is read in absolute path.
Document storage in the non-relational database includes processor and memory, above-mentioned acquiring unit, turns Change unit, creating unit and memory cell etc. to be stored in memory as program unit, stored by computing device Said procedure unit in memory realizes corresponding function.
Kernel is included in processor, is gone in memory to transfer corresponding program unit by kernel.Kernel can set one Or more, by adjusting the document in kernel parameter storage non-relational database.
Memory potentially includes the volatile memory in computer-readable medium, random access memory (RAM) and/ Or the form, such as read-only storage (ROM) or flash memory (flash RAM) such as Nonvolatile memory, memory includes at least one Individual storage chip.
Present invention also provides a kind of embodiment of computer program product, when being performed on data processing equipment, fit In the program code for performing initialization there are as below methods step:Obtain the destination document of Json forms;By Json forms Destination document is converted into the destination document of Bson forms;The attribute of the destination document of Bson forms and object-oriented is strong Type attribute sets up mapping relations;And the Bson forms of mapping relations will have been set up with object-oriented strongly-typed attribute Destination document is converted into the destination document of strongly-typed, and the destination document of strongly-typed is stored to non-relational database.
It should be noted that for foregoing each method embodiment, in order to be briefly described, therefore it is all expressed as one it is The combination of actions of row, but those skilled in the art should know, and the application is not limited by described sequence of movement System, because according to the application, some steps can sequentially or simultaneously be carried out using other.Secondly, art technology Personnel should also know that embodiment described in this description belongs to preferred embodiment, involved action and module Not necessarily necessary to the application.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and does not have the portion described in detail in certain embodiment Point, may refer to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed device, can be by other sides Formula is realized.For example, device embodiment described above is only schematical, such as the division of described unit, only Only a kind of division of logic function, can there is other dividing mode when actually realizing, such as multiple units or component can To combine or be desirably integrated into another system, or some features can be ignored, or not perform.
The unit that is illustrated as separating component can be or may not be it is physically separate, it is aobvious as unit The part for showing can be or may not be physical location, you can with positioned at a place, or can also be distributed to On multiple NEs.Some or all of unit therein can be according to the actual needs selected to realize the present embodiment The purpose of scheme.
In addition, during each functional unit in the application each embodiment can be integrated in a processing unit, it is also possible to It is that unit is individually physically present, it is also possible to which two or more units are integrated in a unit.It is above-mentioned integrated Unit can both be realized in the form of hardware, it would however also be possible to employ the form of SFU software functional unit is realized.
Obviously, those skilled in the art should be understood that each module or each step of above-mentioned the application can be with general Computing device realize that they can be concentrated on single computing device, or be distributed in multiple computing device institutes On the network of composition, alternatively, they can be realized with the executable program code of computing device, it is thus possible to It is stored in being performed by computing device in storage device, or they is fabricated to each integrated circuit die respectively Block, or the multiple modules or step in them are fabricated to single integrated circuit module to realize.So, the application Any specific hardware and software is not restricted to combine.
The preferred embodiment of the application is the foregoing is only, the application is not limited to, for those skilled in the art For member, the application can have various modifications and variations.It is all within spirit herein and principle, made it is any Modification, equivalent, improvement etc., should be included within the protection domain of the application.

Claims (10)

1. the document storing method in a kind of non-relational database, it is characterised in that including:
Obtain the destination document of Json forms;
The destination document of the Json forms is converted into the destination document of Bson forms;
The attribute of the destination document of the Bson forms and object-oriented strongly-typed attribute are set up into mapping relations;With And
The destination document that the Bson forms of mapping relations have been set up with object-oriented strongly-typed attribute is converted into by force The destination document of type, and the destination document of the strongly-typed is stored to non-relational database.
2. method according to claim 1, it is characterised in that be converted into the destination document of the Json forms The destination document of Bson forms includes:BsonDocument classes are called to turn the destination document of the Json forms Turn to the destination document of Bson forms.
3. method according to claim 1 and 2, it is characterised in that by the destination document of the strongly-typed store to Non-relational database includes:
Call MongoDatabase classes and MongodbCollection classes is carried out to the destination document of the strongly-typed Serializing is processed;And
The destination document of the strongly-typed after serializing is processed is stored to the non-relational database.
4. method according to claim 1, it is characterised in that the destination document for obtaining Json forms includes:
The document of Json forms is determined in multiple documents;
The absolute path of the destination document of the Json forms is determined from the document of the Json forms;And
The destination document of the Json forms is read from the absolute path.
5. method according to claim 1, it is characterised in that the non-relational database is mongodb.
6. method according to claim 5, it is characterised in that stored to non-by the destination document of the strongly-typed After relevant database, methods described also includes:
Read the document stored in the mongodb;
Document to being stored in the mongodb that reads carries out unserializing treatment;And
Document after unserializing is processed is sent to destination address.
7. the document storage in a kind of non-relational database, it is characterised in that including:
Acquiring unit, the destination document for obtaining Json forms;
Conversion unit, the destination document for the destination document of the Json forms to be converted into Bson forms;
Creating unit, for the attribute of the destination document of the Bson forms to be built with object-oriented strongly-typed attribute Vertical mapping relations;And
Memory cell, for the target of the Bson forms by mapping relations have been set up with object-oriented strongly-typed attribute Document is converted into the destination document of strongly-typed, and the destination document of the strongly-typed is stored to non-relational data Storehouse.
8. device according to claim 7, it is characterised in that the conversion unit is additionally operable to call BsonDocum The destination document of the Json forms is converted into ent classes the destination document of Bson forms.
9. the device according to claim 7 or 8, it is characterised in that the memory cell includes:
Processing module, for calling MongoDatabase classes and MongodbCollection classes to the strongly-typed Destination document carry out serializing treatment;And
Memory module, for serializing to be processed after the destination document of strongly-typed store to the non-relational number According to storehouse.
10. device according to claim 7, it is characterised in that the acquiring unit includes:
First determining module, the document for determining Json forms in multiple documents;
Second determining module, the destination document for determining the Json forms from the document of the Json forms Absolute path;And
Read module, the destination document for reading the Json forms from the absolute path.
CN201510862287.3A 2015-11-30 2015-11-30 Document storing method and device in non-relational database Pending CN106815246A (en)

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CN109213820B (en) * 2018-08-30 2021-10-22 成都索贝数码科技股份有限公司 Method for realizing fusion use of multiple types of databases
US11693852B1 (en) * 2021-04-12 2023-07-04 Amdocs Development Limited System, method, and computer program for normalizing a JSON structure

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