CN109344193A - A kind of method and system converting structural data to unstructured data - Google Patents
A kind of method and system converting structural data to unstructured data Download PDFInfo
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- CN109344193A CN109344193A CN201811244279.2A CN201811244279A CN109344193A CN 109344193 A CN109344193 A CN 109344193A CN 201811244279 A CN201811244279 A CN 201811244279A CN 109344193 A CN109344193 A CN 109344193A
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Abstract
This application discloses a kind of method and system for converting structural data to unstructured data, method includes: configuration JSON template, and parsing JSON template to Array for structural body reads array source according to Array for structural body, obtains JSON file.The application is capable of the completion structural data of efficiently and accurately to the conversion of unstructured data format.
Description
Technical field
This application involves data transformation technology field more particularly to a kind of unstructured data is converted by structural data
Method and system.
Background technique
Currently, in the exploration project using non-relational databases such as the databases stored based on distributed document, it is past
Toward the importing of shop fixtures data or code table is related to, need structural data, such as table, it is converted into non-relational data
The format of library expenditure, such as JSON (JavaScript Object Notation, JS object numbered musical notation, a kind of number of lightweight
According to exchange format).Commonly used approach is manual conversion at present, and the repeated work efficiency for replicating stickup is very low, and
It is easy error.And if being all largely and JSON message close coupling, need using traditional conversion unstructured data method
It also needs repeatedly to modify code when modifying JSON format.
Therefore, how efficiently and accurately complete structural data to unstructured data format conversion, be one urgently
It solves the problems, such as.
Summary of the invention
In view of this, this application provides a kind of method for converting unstructured data for structural data, Neng Gougao
Effect accurately completes the conversion of structural data to unstructured data format.
This application provides a kind of methods for converting unstructured data for structural data, which comprises
Configure JSON template；
The JSON template is parsed to Array for structural body；
Array source is read according to the Array for structural body, obtains JSON file.
Preferably, the parsing JSON template includes: to Array for structural body
The JSON template is parsed to Array for structural body by recursive function.
Preferably, described to read array source according to the Array for structural body, obtaining JSON file includes:
Data are read from table according to the Array for structural body, generate JSON file.
Preferably, for first node in the JSON template as master index, the master index corresponds to the main word of main table
Section, every a line in the main table corresponds to every a line of JSON file.
Preferably, described to read array source according to the Array for structural body, obtaining JSON file includes:
Data are read from database according to the Array for structural body, generate JSON file.
A kind of system converting unstructured data for structural data, comprising:
Configuration module, for configuring JSON template；
Parsing module, for parsing the JSON template to Array for structural body；
Conversion module obtains JSON file for reading array source according to the Array for structural body.
Preferably, the parsing module is specifically used for:
The JSON template is parsed to Array for structural body by recursive function.
Preferably, the conversion module is specifically used for:
Data are read from table according to the Array for structural body, generate JSON file.
Preferably, for first node in the JSON template as master index, the master index corresponds to the main word of main table
Section, every a line in the main table corresponds to every a line of JSON file.
Preferably, the conversion module is specifically used for:
Data are read from database according to the Array for structural body, generate JSON file.
In conclusion working as needs this application discloses a kind of method for converting unstructured data for structural data
When converting unstructured data for structural data, JSON template is configured first, then parses JSON template to structural body number
Group finally reads array source according to Array for structural body, obtains JSON file.The application is capable of the completion structuring number of efficiently and accurately
According to the conversion for arriving unstructured data format.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is a kind of side for the embodiment of the method 1 for converting structural data to unstructured data disclosed in the present application
Method flow chart；
Fig. 2 is a kind of side for the embodiment of the method 2 for converting structural data to unstructured data disclosed in the present application
Method flow chart；
Fig. 3 is a kind of side for the embodiment of the method 3 for converting structural data to unstructured data disclosed in the present application
Method flow chart；
Fig. 4 is the algorithm flow chart disclosed in the present application for generating JSON file；
Fig. 5 is a kind of knot for the system embodiment 1 for converting structural data to unstructured data disclosed in the present application
Structure schematic diagram；
Fig. 6 be it is disclosed in the present application it is a kind of by structural data be converted into unstructured data be embodiment 2 structure
Schematic diagram；
Fig. 7 be it is disclosed in the present application it is a kind of by structural data be converted into unstructured data be embodiment 3 structure
Schematic diagram.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on
Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall in the protection scope of this application.
As shown in Figure 1, a kind of embodiment of the method 1 for converting structural data to unstructured data provided for application
Method flow diagram, the method may include following steps:
S101, configuration JSON template；
Structural data, data, are stored in lane database at once, the number that can be realized with two-dimentional table structure come logical expression
According to；Structure defines not malleable, data fixed length.Unstructured data, i.e. inconvenience are showed with database two dimension logical table
Data.Its field length is variable, and the record of each field again can be by repeating or not reproducible subfield is constituted.When
When needing to convert unstructured data for structural data, the JSON template of needs is defined first.
S102, parsing JSON template to Array for structural body；
After defining the JSON template of needs, further progress parsing, parsing JSON template to Array for structural body.
S103, array source is read according to Array for structural body, obtains JSON file.
Then array source is read according to obtained Array for structural body, that is, reads the data converted, passes through
Conversion obtains JSON file.
In conclusion in the above-described embodiments, when needing to convert unstructured data for structural data, matching first
JSON template is set, JSON template is then parsed to Array for structural body, array source is finally read according to Array for structural body, obtains JSON
File.The application is capable of the completion structural data of efficiently and accurately to the conversion of unstructured data format.
As shown in Fig. 2, a kind of embodiment of the method 2 for converting structural data to unstructured data provided for application
Method flow diagram, the method may include following steps:
S201, configuration JSON template；
Structural data, data, are stored in lane database at once, the number that can be realized with two-dimentional table structure come logical expression
According to；Structure defines not malleable, data fixed length.Unstructured data, i.e. inconvenience are showed with database two dimension logical table
Data.Its field length is variable, and the record of each field again can be by repeating or not reproducible subfield is constituted.When
When needing to convert unstructured data for structural data, the JSON template of needs is defined first.
S202, parsing JSON template to Array for structural body；
After defining the JSON template of needs, further progress parsing, parsing JSON template to Array for structural body.
S203, data are read from database according to Array for structural body, generates JSON file.
Then array source is read from database according to obtained Array for structural body, that is, reads and is converted
Data obtain JSON file by conversion.
In conclusion in the above-described embodiments, when needing to convert unstructured data for structural data, matching first
JSON template is set, JSON template is then parsed to Array for structural body, data is finally read from database according to Array for structural body,
Obtain JSON file.The application is capable of the completion structural data of efficiently and accurately to the conversion of unstructured data format.
As shown in figure 3, a kind of embodiment of the method 3 for converting structural data to unstructured data provided for application
Method flow diagram, the method may include following steps:
S301, configuration JSON template；
Structural data, data, are stored in lane database at once, the number that can be realized with two-dimentional table structure come logical expression
According to；Structure defines not malleable, data fixed length.Unstructured data, i.e. inconvenience are showed with database two dimension logical table
Data.Its field length is variable, and the record of each field again can be by repeating or not reproducible subfield is constituted.When
When needing to convert unstructured data for structural data, the JSON template of needs is defined first.
Shaped like (for using excel as data source):
{ " classNm ": " expenditure (main table) [3] ", " classifyId ": " expenditure (main table) [4] ", " isShow ": " branch
(main table) [5] out ", " keyword ": [" keyword [2] "], " title ": " expenditure (main table) [2] ", " tranCat ": " expenditure
(main table) [1] ", " mcc ": [{ " mccName ": " MCC [1] ", " code ": " MCC [2] " }], " tranTypes ": ["
Trancode ": " type of transaction [1] ", " tranDesc ": " type of transaction [2] ", " editFlag ": " type of transaction [3] " }]
Wherein, the corresponding value of label is: table name [row number] indicates the data source position of the label.
S302, JSON template is parsed to Array for structural body by recursive function；
After defining the JSON template of needs, JSON template is further parsed to Array for structural body by recursive function:
Array for structural body is defined as:
Public Type jsonspot
Spotno As String' node serial number, 1,2,3...N
Spotype As String' node type: M:. intermediate node middle L: leaf node leaf
Spotdepth As String' node level: 1- first layer, the 2- second layer ...
Spotlable As String' node label value, corresponding json element tags value
Parentspot As String' father node number: 0: root node, 1:1 node ...
Sheetname As String' leaf node uses: the sheet name where node or table
Columeno As String' leaf node uses: the column name where node or colunm
Extrakeycolumeno As String' leaf node uses: in the sheet where leaf node, main label institute
It is arranging
Spotvaluetype As String' node Value Types: S: character N: numerical value SA: character array
O: object NA: numerical value array OA: object array
End Type
It is as shown in the table with the example of face die plate: the simple structure for the structured data that recursion resolution template obtains:
| "classNm" | |
| "classifyId" | |
| "merch" | |
| "keyword" | |
| "title" | |
| "tranCat" | |
| ″mcc″ | "mccName" |
| "code" | |
| "tranTypes" | "trancode" |
| "editFlag" |
First row is first layer, and secondary series is the second layer, and so on.It is the father's section arranged below with front column in a line
Point.
Complete structure are as follows:
Separated with vertical line, format is: node serial number | tag name | level | node type (L/M) | node Value Types | father's section
Point number | place sheet | column name | main label column；
S303, data are read from table according to Array for structural body, generates JSON file.
Then array source is read from database according to obtained Array for structural body, that is, reads and is converted
Data obtain JSON file by conversion.
Using first node of JSON template as master index, this master index corresponds to the main fields of main table, in main table
Every a line corresponds to every a line of JSON file.Other tables have a column corresponding with this master index.
Effective column in all tables have tag name mark.
Specifically, the algorithm flow for generating JSON file is as shown in Figure 4.
In conclusion the application uses simply, it is only necessary to which the good JSON template of easy configuration, a key can generate needs
JSON file；Treatment effeciency is high, and the specified JSON format for needing to generate well and data source stick table number to be treated
According to, it is only necessary to it can handle well within several seconds, save many times than conversion by hand；The high problem of artificial treatment error rate is avoided,
Operational mistake will not occur after correct configuration format；Different usage scenarios can be adapted to flexible configuration JSON template.
As shown in figure 5, a kind of system embodiment 1 for converting structural data to unstructured data provided for application
Structural schematic diagram, the system may include:
Configuration module 401, for configuring JSON template；
Structural data, data, are stored in lane database at once, the number that can be realized with two-dimentional table structure come logical expression
According to；Structure defines not malleable, data fixed length.Unstructured data, i.e. inconvenience are showed with database two dimension logical table
Data.Its field length is variable, and the record of each field again can be by repeating or not reproducible subfield is constituted.When
When needing to convert unstructured data for structural data, the JSON template of needs is defined first.
Parsing module 402, for parsing JSON template to Array for structural body；
After defining the JSON template of needs, further progress parsing, parsing JSON template to Array for structural body.
Conversion module 403 obtains JSON file for reading array source according to Array for structural body.
Then array source is read according to obtained Array for structural body, that is, reads the data converted, passes through
Conversion obtains JSON file.
In conclusion in the above-described embodiments, when needing to convert unstructured data for structural data, matching first
JSON template is set, JSON template is then parsed to Array for structural body, array source is finally read according to Array for structural body, obtains JSON
File.The application is capable of the completion structural data of efficiently and accurately to the conversion of unstructured data format.
As shown in fig. 6, a kind of system embodiment 2 for converting structural data to unstructured data provided for application
Structural schematic diagram, the system may include:
Configuration module 501, for configuring JSON template；
Structural data, data, are stored in lane database at once, the number that can be realized with two-dimentional table structure come logical expression
According to；Structure defines not malleable, data fixed length.Unstructured data, i.e. inconvenience are showed with database two dimension logical table
Data.Its field length is variable, and the record of each field again can be by repeating or not reproducible subfield is constituted.When
When needing to convert unstructured data for structural data, the JSON template of needs is defined first.
Parsing module 502, for parsing JSON template to Array for structural body；
After defining the JSON template of needs, further progress parsing, parsing JSON template to Array for structural body.
Conversion module 503 generates JSON file for reading data from database according to Array for structural body.
Then array source is read from database according to obtained Array for structural body, that is, reads and is converted
Data obtain JSON file by conversion.
In conclusion in the above-described embodiments, when needing to convert unstructured data for structural data, matching first
JSON template is set, JSON template is then parsed to Array for structural body, data is finally read from database according to Array for structural body,
Obtain JSON file.The application is capable of the completion structural data of efficiently and accurately to the conversion of unstructured data format.
As shown in fig. 7, a kind of system embodiment 3 for converting structural data to unstructured data provided for application
Structural schematic diagram, the system may include:
Configuration module 601, for configuring JSON template；
Structural data, data, are stored in lane database at once, the number that can be realized with two-dimentional table structure come logical expression
According to；Structure defines not malleable, data fixed length.Unstructured data, i.e. inconvenience are showed with database two dimension logical table
Data.Its field length is variable, and the record of each field again can be by repeating or not reproducible subfield is constituted.When
When needing to convert unstructured data for structural data, the JSON template of needs is defined first.
Shaped like (for using excel as data source):
{ " classNm ": " expenditure (main table) [3] ", " classifyId ": " expenditure (main table) [4] ", " isShow ": " branch
(main table) [5] out ", " keyword ": [" keyword [2] "], " title ": " expenditure (main table) [2] ", " tranCat ": " expenditure
(main table) [1] ", " mcc ": [{ " mccName ": " MCC [1] ", " code ": " MCC [2] " }], " tranTypes ": [{ " tranco
De ": " type of transaction [1] ", " tranDesc ": " type of transaction [2] ", " editFlag ": " type of transaction [3] " }]
Wherein, the corresponding value of label is: table name [row number] indicates the data source position of the label.
Parsing module 602, for parsing JSON template to Array for structural body by recursive function；
After defining the JSON template of needs, JSON template is further parsed to Array for structural body by recursive function:
Array for structural body is defined as:
Public Type jsonspot
Spotno As String' node serial number, 1,2,3...N
Spotype As String' node type: M:. intermediate node middle L: leaf node leaf
Spotdepth As String' node level: 1- first layer, the 2- second layer ...
Spotlable As String' node label value, corresponding json element tags value
Parentspot As String' father node number: 0: root node, 1:1 node ...
Sheetname As String' leaf node uses: the sheet name where node or table
Columeno As String' leaf node uses: the column name where node or colunm
Extrakeycolumeno As String' leaf node uses: in the sheet where leaf node, main label institute
It is arranging
Spotvaluetype As String' node Value Types: S: character N: numerical value SA: character array
O: object NA: numerical value array OA: object array
End Type
It is as shown in the table with the example of face die plate: the simple structure for the structured data that recursion resolution template obtains:
| "classNm" | |
| "classifyId" | |
| "merch" | |
| "keyword" | |
| "title" | |
| "tranCat" | |
| ″mcc″ | "mccName" |
| "code" | |
| "tranTypes" | "trancode" |
| "editFlag" |
First row is first layer, and secondary series is the second layer, and so on.It is the father's section arranged below with front column in a line
Point.
Complete structure are as follows:
Separated with vertical line, format is: node serial number | tag name | level | node type (L/M) | node Value Types | father's section
Point number | place sheet | column name | main label column；
Conversion module 603 generates JSON file for reading data from table according to Array for structural body.
Then array source is read from database according to obtained Array for structural body, that is, reads and is converted
Data obtain JSON file by conversion.
Using first node of JSON template as master index, this master index corresponds to the main fields of main table, in main table
Every a line corresponds to every a line of JSON file.Other tables have a column corresponding with this master index.
Effective column in all tables have tag name mark.
Specifically, the algorithm flow for generating JSON file is as shown in Figure 4.
In conclusion the application uses simply, it is only necessary to which the good JSON template of easy configuration, a key can generate needs
JSON file；Treatment effeciency is high, and the specified JSON format for needing to generate well and data source stick table number to be treated
According to, it is only necessary to it can handle well within several seconds, save many times than conversion by hand；The high problem of artificial treatment error rate is avoided,
Operational mistake will not occur after correct configuration format；Different usage scenarios can be adapted to flexible configuration JSON template.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other
The difference of embodiment, the same or similar parts in each embodiment may refer to each other.For device disclosed in embodiment
For, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is said referring to method part
It is bright.
Professional further appreciates that, unit described in conjunction with the examples disclosed in the embodiments of the present disclosure
And algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware and
The interchangeability of software generally describes each exemplary composition and step according to function in the above description.These
Function is implemented in hardware or software actually, the specific application and design constraint depending on technical solution.Profession
Technical staff can use different methods to achieve the described function each specific application, but this realization is not answered
Think beyond scope of the present application.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can directly be held with hardware, processor
The combination of capable software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology
In any other form of storage medium well known in field.
The foregoing description of the disclosed embodiments makes professional and technical personnel in the field can be realized or use the application.
Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the application.Therefore, the application
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
Claims (10)
1. a kind of method for converting unstructured data for structural data, which is characterized in that the described method includes:
Configure JSON template；
The JSON template is parsed to Array for structural body；
Array source is read according to the Array for structural body, obtains JSON file.
2. the method according to claim 1, wherein described parse the JSON template to Array for structural body packet
It includes:
The JSON template is parsed to Array for structural body by recursive function.
3. according to the method described in claim 2, it is characterized in that, it is described according to the Array for structural body read array source, obtain
Include: to JSON file
Data are read from table according to the Array for structural body, generate JSON file.
4. according to the method described in claim 3, it is characterized in that, first node in the JSON template is as main rope
Draw, the master index corresponds to the main fields of main table, and every a line in the main table corresponds to every a line of JSON file.
5. according to the method described in claim 3, it is characterized in that, it is described according to the Array for structural body read array source, obtain
Include: to JSON file
Data are read from database according to the Array for structural body, generate JSON file.
6. a kind of system for converting unstructured data for structural data characterized by comprising
Configuration module, for configuring JSON template；
Parsing module, for parsing the JSON template to Array for structural body；
Conversion module obtains JSON file for reading array source according to the Array for structural body.
7. system according to claim 6, which is characterized in that the parsing module is specifically used for:
The JSON template is parsed to Array for structural body by recursive function.
8. system according to claim 7, which is characterized in that the conversion module is specifically used for:
Data are read from table according to the Array for structural body, generate JSON file.
9. system according to claim 8, which is characterized in that first node in the JSON template is as main rope
Draw, the master index corresponds to the main fields of main table, and every a line in the main table corresponds to every a line of JSON file.
10. system according to claim 7, which is characterized in that the conversion module is specifically used for:
Data are read from database according to the Array for structural body, generate JSON file.
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| CN117726170A (en) * | 2023-12-18 | 2024-03-19 | 北京罗格数据科技有限公司 | Data storage method and device |
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| Publication number | Publication date |
|---|---|
| CN109344193B (en) | 2020-09-15 |
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