KR101743229B1

KR101743229B1 - System for planning document databse based in collection diagram and apparatus used in it

Info

Publication number: KR101743229B1
Application number: KR1020150163737A
Authority: KR
Inventors: 주종면
Original assignee: 주식회사 플랜정보기술
Priority date: 2015-11-23
Filing date: 2015-11-23
Publication date: 2017-06-05
Also published as: KR20170059604A

Abstract

The present invention relates to an information processing apparatus, including a user interface unit for receiving a user setting command to design a document DB (Database), a storage unit for storing a document DB designed according to the inputted user setting command, And a control unit for designing a document DB by visualizing the big data in the form of a collection diagram based on a collection of a document DB (Database), and the control unit is configured to visualize the big data as a collection, a document, The first data structure is constructed by a data structure type in units of a hierarchical structure (Tree Structure), a first data structure is constructed by a data structure type according to a user setup command, a data structure between the data structures is linked, , Embedded (Embedded), and tree (Tree) link type to construct the second data nature according to the user setting command (DB) design information processing apparatus and a document DB designing method used therein, characterized in that a document DB is designed by visualizing large data as a figure by creating a collection diagram (Collection Diagram) (Collection Diagram) that can build a Document DB can be constructed. It can be easily designed and built in MongoDB, and systematically build DB using many collections and documents.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a document database design system based on a collection diagram, and an information processing apparatus used therein.

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a collection diagram based document database design system and an information processing apparatus used therein (a 'server').

As mobile devices such as smart phones, smart pads and laptops become popular, users can easily access various social network services such as Facebook and Twitter, In addition, many large multimedia contents such as movies, TV contents and music can be easily uploaded and downloaded via the Internet. As a result, the amount of data that must be managed by the server system has grown exponentially, and the resulting data has also gone from hundreds of gigabytes to tens of terabytes per day. New technologies have emerged to efficiently store and rapidly process explosively growing data and to extract valuable information, which is called Big Data Technology. Big data technology is an emerging technology for rapidly collecting, storing and analyzing large amounts of data, which are large in size, rapidly increasing in size, and atypical in data format, to extract valuable information. Software for big data processing is typically NoSQL DBMS, distributed processing, Hadoop distributed file system, software R for analysis and visualization.

Several Big Data related technologies have become known to the world when Google announced Google File System (GFS) in 2003, MapReduce in 2004, and BigTable in 2006. GFS is a distributed network file system made up of inexpensive hardware devices, and has become a catalyst for the development of cloud technology, which is now attracting worldwide attention. MapReduce and BigTable are key technologies in the Big Data industry as technologies for analyzing and storing large amounts of data in a distributed computing environment. In addition, research on distributed data processing around the world, including Google's paper, is being conducted in a variety of industries, including open source projects such as Apache Hadoop, Hadoop Distributed File System, MapReduce, HBase, Leading to applied results.

In order to apply such a big data technology, there are a big data collection and conversion technology for collecting a large amount of data, a big data storage technology for distributed collection of collected data, a big data management technology for monitoring and managing distributed data, And big data distribution technology for data analysis and processing. There are various open source and commercial software in each technology area. Most of the technologies and products are mostly from the USA and other countries. Most companies that want to create value through big data are leading the big data technology market. And it is a situation that must be done in the future. In order to reduce cost competitiveness and reliance on technology, Korean solution companies must acquire and develop technology and products for each technology area.

The existing relational database problem and the need for NoSQL are as follows. That is, a relational database having the characteristics of atomicity, consistency, isolation, and persistence maintains the integrity of the database through a transaction function. The relational database also has a predefined schema structure. Therefore, when data is stored in a relational database, it is subjected to a normalization process, so that redundancy of data can be minimized. In addition, relational databases have the advantage of performing complex query operations such as join operations. However, relational databases are used in many fields because of these advantages, but they have a very inefficient structure for handling unstructured data because they require a formalization process to store data in a predefined and rigid schema structure of a relational database. In addition, it has a limitation that it is difficult to expand through node dispersion when data increases rapidly. NoSQL (Not only SQL) is a non-relational database that does not support complex operations such as join operations provided by existing relational databases, but provides ease of expansion through node distribution when data grows rapidly, And it is easy to expand the database structure through the flexible schema structure and the distributed node due to the increase of the data. Therefore, many distributed system developers are attracting attention, and as an alternative to overcome the limitation of the relational database It is attracting attention.

NoSQL is Not Only SQL. It is not a database to replace SQL, but a database that is designed to provide more options for processing data that is not SQL-friendly. In other words, NoSQL and SQL coexist together and have their own areas. NoSQL is primarily designed to handle large amounts of data without being restricted to a fixed schema, and the absence of a fixed schema means that the table does not have a predefined schema, unlike a relational database. In addition, NoSQL does not have a Join operation, which is the basic operation of a relational database, and it extends performance through scale-out instead of scale-up. Scale-out enables a distributed system by using multiple low-performance machines to create a single virtual machine that combines multiple performance.

Companies are interested in various types of unstructured data that we have not been interested in in the past, and they are interested in collecting and storing new data storage technologies instead of existing data storage technologies. In keeping with these needs, NoSQL technology will become a required base technology, and design and monitoring tools based on it will be required.

The following points were inconvenient and insufficient when using NoSQL. In other words, the data storage technology using NoSQL began to develop around the US in the early 2000s. It is not until 2013 that the technology is recognized as stable, and it is rapidly expanding rapidly in 2015 to be. Although the core technology of NoSQL database has been developing for 15 years, it must be easy and simple to be used and applied in real enterprise environment, and monitoring tools that can control dozens to hundreds of servers It is absolutely necessary.

MongoDB inc., Which develops and supports source technology for MongoDB, basically provides tools to manage and monitor MongoDB basically. However, since the data is analyzed and processed through a remote server connected to MongoDB inc online, there are many problems and questions about the utilization of the domestic companies due to security problems such as data leakage. In addition, although the tools were developed by the third party at home and abroad, there is no technology that can monitor dozens or hundreds of servers at the same time by domain, and it does not provide monitoring function for each server. It is a reality. In addition, to construct NoSQL database efficiently, it is necessary to have easy and simple design tool, but there is no product that provides design tool technology throughout the country.

The present invention has been developed in order to overcome the above-described problems, and it is an object of the present invention to provide a collection diagram based on a design tool that can solve a need for a design tool that can be constructed as a figure in order to more systematically construct a DB using a large number of collections and documents Type document DB design system and an information processing apparatus used therein.

According to an aspect of the present invention, there is provided a collection diagram-based document DB design information processing apparatus,

A user interface unit for receiving a user setting command to design a document DB (Database), a storage unit for storing a document DB designed according to the inputted user setting command, and a storage unit for storing big data according to the inputted user setting command And a control unit for visualizing the document DB in the form of a diagram of the collection diagram according to a collection base of a document DB (Database), and the control unit is configured to collect the big data into a collection, (Document) which is a logical unit constituting the collection, and a data structure type (unit) of a hierarchical document (Tree Structure) unit which is a representation structure of hierarchical data among logic units constituting the collection, The first data structure is constructed by one of the data structure types according to the data structure of the first data structure, (Link), which is a relationship structure that links collections with independent business correlation between collections, Embedded, which is a relationship structure that links collections with dependent business correlation among collections, Tree is a relationship structure that links collections. It generates a collection diagram based on the operation of constructing a second data nature according to a user setting command expressed as a link type, visualizing the big data as a graphic form, DB design.

The big data is divided into a data structure type in units of a collection, a document and a hierarchical structure, and the data structure is divided into a first structure Based on an operation of expressing the data characteristics between the data structures as link, embedded, and tree link types and constructing data characteristics according to a user setup command, ), Visualizing the big data as a graphic form, and designing a document DB.

Preferably, the first construction of the data structure includes constructing a collection with a collection ID and a field corresponding to a user setting command, or constructing a collection with a document ID and a field corresponding to a user- Or construct a hierarchical document by linking the collection or custom fields of the document to the three tree structures (parent, ancestors, and Chiledren) types corresponding to the user-set command, And a first operation is performed.

In order to construct the second data characteristic, it is also possible to construct the link data character by connecting only the collection in the main format of the ID information of the collection and the sub-format of the field information of the collection in correspondence with the user setting command, , The collection is embedded in the document in the form of a main format consisting of the field information of the document and the sub-format of the field information of the collection, or the document is embedded in another document to construct the embedded data character, .

Preferably, the controller assigns the designed collection diagram to a corresponding DB of a user-specified server in accordance with a domain name, a server name, and a DB name corresponding to a user business domain in accordance with a user description command, .

The controller registers the index information and the index type information including the order, size, price, and promo code information of the collection, A document DB is designed by constructing an index of a collection with index information and index type information including order, size, price, and promo_code information of the collection.

According to another aspect of the present invention, there is provided a document DB design method for use in a collection diagram based document DB design information processing apparatus,

A method of designing a document DB of a control section that is provided in a document DB design information processing apparatus for designing a large-capacity large data in a document DB (Document Database), the method comprising the steps of: A data structure of a hierarchical document (Tree Structure) which is a representation structure of hierarchical data among logic units constituting the collection, a data structure type generating a first data structure of a type corresponding to a user setup command by dividing the data structure into a first type structure and a second type structure; Link, which is a relationship structure, and Embedded, which is a relational structure that links a collection having a dependent business correlation among collections, Generating a second construction information by designating a data character as a type corresponding to a user setting instruction by expressing the connection link as a tree link type which is a relationship structure connecting a collection having hierarchical business correlation among the collection; Creating a collection diagram based on the generated construction information, and designing a document DB by visualizing the big data in a graphic form.

The generating of the first operation information may include generating a collection ID and a collection of fields corresponding to a user setting command or generating a collection ID and a field corresponding to a user setting command, ) Or by constructing a hierarchical document by connecting a collection or a custom field of a document to a set of three tree structures (parent, ancestors, Chiledren) in accordance with a user setting command, And generates the construction information.

The step of generating the second construction information may include generating a link data characteristic by connecting only the collection in a main format consisting of ID information of the collection and a sub format of field information of the collection, A collection is embedded in a document in a main format of the field information of the document and a sub format of the field information of the collection in accordance with the command or the second construction information is generated by embedding the document in another document to construct the nature of the embedded data .

Preferably, the step of visualizing the big data as a graphic form and designing a document DB may include designing the collection diagram as a domain name, a server name, and a DB name corresponding to the user business area, , And designing a document DB.

Index information and index type information including the order, size, price, and promo code information of the collection are registered, and the order of the collection designated according to the user description command designing a document DB by constructing an index of a collection with index information and index type information including order, size, price, and promo_code information.

The present invention NoSQL technology and solution, which is a new trend data storage technology, can be secured early as a domestic company. With the patent application of the technology, it is possible to develop various solutions through early securing of NoSQL technology, The NoSQL-related technology can be expected to have a ripple effect. In addition, the expansion of the big data solution market, which is creating a new business area, can contribute to the employment of big data professionals who are nurturing at the government level because new jobs can be created. , It is a reality that it is highly dependent on foreign technology. However, by developing this monitoring tool, it is possible to increase the effect of SW import substitution, and it can perform low cost high quality consulting and 24 hour response service suitable for domestic operating environment, Operation, and maintenance costs, which is economically and industrially advantageous. In addition, it is possible to lead the market by enhancing the national level through the advancement of domestic SWs overseas.

1 is a diagram showing a configuration of a collection DB based document DB design system according to the present invention;
FIG. 2 is a diagram sequentially illustrating a document DB design method used in a collection diagram-based document DB design information processing apparatus according to the present invention
3 is a view showing a document DB design tool screen definition sheet according to the present invention.
4 is a diagram summarizing the connection relationships among the collection diagram components (for example, data structures) according to the present invention;
5 is a diagram illustrating a specific DB Assign operation of a collection diagram according to the present invention;
Figure 6 is a diagram illustrating the operation of Indexes construction of a collection according to the present invention;
7 is a diagram illustrating the operation of constructing an index type of a collection according to the present invention

First, terms used in the present invention are defined.

1. Collection:

One logical structure for storing data in a document-based DB

2. Document:

Logical units that make up a collection created in a document-based DB

3. Tiered Document:

A structure that expresses hierarchical data among logical units constituting a collection created in document-based DB

4. Link:

A relational structure that links collections that have independent business relationships among multiple collections created in a document-based DB

5. Embedded:

A relational structure that links collections that have dependent business relationships among multiple collections created in a document-based DB

6. Tree Link:

A relational structure that links collections that have a hierarchical business correlation among several collections created in a document-based DB

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a diagram showing the structure of a collection DB based document DB design system according to the present invention; FIG.

1, the document DB design system according to the present invention includes a collection diagram based document DB design information processing apparatus 100 and a collection DB design information processing apparatus 100 in cooperation with a collection diagram designed by the document DB design information processing apparatus 100 And an interworking server 200 for operating its own DB.

The collection diagram-based document DB design information processing apparatus 100 collects large-capacity large data (for example, large-capacity large data of a large number of large-capacity multimedia contents such as movies, TV contents, music, etc.) into a collection diagram To visualize and design a document DB. Then, the collection diagram-based document DB design information processing apparatus 100 assigns the designed collection diagram to the corresponding DB of the user-specified server as a domain name, a server name, and a DB name corresponding to the user business domain, Assign.

The interworking server 200 operates its own specific DB in conjunction with the collection diagram assigned by the collection DB-based document DB design information processing apparatus 100. The interworking server 200 is, for example, a server that manages and manages a large amount of big data such as multimedia contents based on the collection diagram.

The document DB design information processing apparatus according to the present invention shown in FIG. 1 includes a user interface unit 101 for receiving a user setting command to design a document DB (Database), a document And a control unit for visualizing the big data in the shape of the collection diagram according to the collection base of the document DB (Database) according to the inputted user setting command to design the document DB 103).

The user interface unit 101 includes various user setting commands (e.g., a user setting command for designating a data structure or a user setting command for specifying a data character, Generated user setting command, and the like). Then, various user setting commands for designing a document DB are inputted by using the provided keys.

The DB storage unit 102 stores a document DB designed according to a user setting command. In particular, under control of the control unit 103, a document DB designed by visualizing a figure of a collection diagram according to the present invention is stored.

The control unit 103 performs a document DB design information process for designing a document DB (Database) for large-capacity large data of a large amount of multimedia content (e.g., large-capacity large data of a large number of large-capacity multimedia contents such as movies, TV contents, music, Which is provided in the apparatus. The control unit 103 constitutes a control unit for processing the document DB design according to the present invention, using an existing control unit for processing the document DB design. The control unit 103 divides the large data of large capacity into a collection, a document and a data structure type of a hierarchical document unit to construct a data structure of a type corresponding to a user setting command, Information. For example, a collection may be constructed with a collection ID (ID) and a field (Field) corresponding to a user setting command, a document may be constructed with a document ID (ID) and a field corresponding to a user setting command, In accordance with the setting command, the first construction information is generated by constructing a hierarchical document by connecting the collection or the custom field of the document to the three tree structure (parent, ancestors, and Chiledren) formats. The control unit 103 generates second construction information by representing data characteristics between the respective data structures as a link, an embedded, and a tree link type, and secondly constructs data characteristics according to a type corresponding to a user setting instruction. For example, in accordance with a user setting command, the link data characteristic may be formed by connecting only the collection in the main format of the ID information of the collection and the sub format of the field information of the collection, or the field information of the document The second construction information is generated by embedding the collection into the document in a subform of the main format and the field information of the collection or by embedding the document in another document to construct the nature of the embedded data. More specifically, the generated diagram information is created based on the first and second construction information, and a large DB is visualized as a graphic form to design a document DB. The controller 103 visualizes the big data in a graphic form and designs a document DB. Then, the controller 103 converts the designed collection diagram into a domain name, a server name, and a DB name corresponding to a user business domain, Designate a document DB by assigning to the corresponding DB of the designated server. The controller 103 registers index information and index type information including the order, size, price, and promo code information of the collection, The index of the collection is constructed with the index information including the order, size, price, promo_code information of the designated collection and the index type information to design the document DB.

The display unit 104 displays a collection diagram based document DB design tool user interface according to the present invention in response to a user setting command under the control of the control unit 103. [

The communication I / F (interface) 105 communicates with various interworking servers. In other words, it interfaces with the collection diagram assigned by the collection diagram-based document DB design information processing apparatus according to the present invention, and interfaces with various interworking servers that operate its own specific DB.

2 is a diagram illustrating a document DB designing method used in the document DB design information processing apparatus based on the collection diagram according to the present invention in order.

As shown in FIG. 2, the document DB design method according to the present invention is a method of designing a large DB (for example, large-capacity large data of a large number of large-capacity multimedia contents such as movies, TV contents, music, A data structure type of a hierarchical document unit, a first data structure of a type corresponding to a user setting instruction (S201), and generates first drawing information.

Specifically, a collection is constructed with a collection ID and a field according to a user setting command, a document is constructed with a document ID and a field corresponding to a user setting command, In accordance with the setting command, the first construction information is generated by constructing a hierarchical document by connecting the collection or the custom field of the document to the three tree structure (parent, ancestors, and Chiledren) formats.

Next, data characteristics between the respective data structures are expressed as link, embedded, and tree link types, and data characteristics are generated in a type corresponding to the user setting command (S202) to generate second construction information.

For example, in accordance with a user setting command, the link data characteristic may be formed by connecting only the collection in the main format of the ID information of the collection and the sub format of the field information of the collection, or the field information of the document The second construction information is generated by embedding the collection into the document in a subform of the main format and the field information of the collection or by embedding the document in another document to construct the nature of the embedded data.

Then, a collection diagram is created based on the generated construction information (specifically, the first and second construction information), and the big data is visualized as a graphic form to design a document DB.

At this time, the index information and the index type information including the order, size, price, promo_code information of the collection are registered, and the order of the collection designated according to the user description instruction a document DB is designed by constructing an index of a collection of index information and index type information including order, size, price, and promo_code information.

Then, the big database is visualized as a graphic form and a document DB is designed. Then, the designed collection diagram is assigned to a corresponding DB of a user-specified server by a domain name, a server name, and a DB name corresponding to the user business area, (S203).

In doing so, the custom server runs its own specific DB in conjunction with the assigned collection diagram.

The interworking server is a server that manages and manages a large amount of big data such as multimedia contents, and manages the use of a large amount of big data based on a collection diagram designed according to the present invention.

As described above, the present invention constructs a collection diagram that can construct a document DB (Document DB), so that it can be easily designed and constructed in MongoDB and more systematically constructed DB using a collection of collections and documents do.

3 is a diagram illustrating a document DB design tool screen definition sheet according to the present invention.

As shown in FIG. 3, the document DB design tool screen definition sheet according to the present invention divides large data of big data into data structure types of a collection, a document, and a hierarchical document unit, , And a design tool configuration that expresses the data nature between each data structure by link, embedded, and tree link types and constructs the data personality according to the user setup command.

In addition, a collection is constructed with a collection ID (ID) and a field input according to a user key operation, a document is constructed with a user input document ID (ID) and a field, parent, ancestors, and Chiledren) formats, or a design tool that constructs a hierarchical document by linking the custom fields of the document to each other.

Alternatively, link data may be constructed by linking only collections in a main form of ID information of a user input collection and a subform of field information of the collection, or may be formed by a main format of field information of the user input document and field information of the collection , A design toolkit that embeds the collection into a document in a subform, or embeds the document in another document to construct the nature of the embedded data.

Figure 4 is a summary of the connection relationships among the collection diagram components (e.g., data structures) according to the present invention.

As shown in FIG. 4, the collection diagram according to the present invention may have a format in which a collection, a document, and a hierarchical document are both "main ". And collections can have "collections" of other collections, documents, and hierarchical documents, and documents can have collections, other documents, and hierarchical documents as "species". In addition, a collection can have linking, linking, embedded, and tree link relationships with other entire data structures, documents can have embedded links with other documents, linkage between hierarchical documents and tree links , Otherwise it is impossible.

5 is a diagram illustrating a specific DB Assign operation of the collection diagram according to the present invention.

As shown in FIG. 5, the designed collection diagram according to the present invention assigns a domain name, a server name, and a DB name corresponding to a user input user business domain to a corresponding DB of a user-specified server. Then, in order to assign the current collection diagram, which is currently being worked on or designed, to a specific DB of a specific server, a specific DB is hierarchically searched. The user-specified server is a server that operates a large DB of multimedia contents, for example, in order to operate its own specific DB in cooperation with an assigned collection diagram.

FIG. 6 is a diagram illustrating an operation of constructing an index of a collection according to the present invention, and FIG. 7 is a diagram illustrating an operation of an index type of a collection according to the present invention.

As shown in FIGS. 6 and 7, the present invention includes index information including order, size, price, and promo code information of the collection and index type information (for example, A text index, a 2D index, a 2D-Sphere Index, a geoHeyStack Index), and registers an order, a size, a price, a promo code, Construct an index of the collection with index information including information and index type information.

DESCRIPTION OF THE RELATED ART [0001]
100: Collection diagram-based database design information processing device
101: user interface unit 102: DB storage unit
103: control unit 104:
105: communication I / F 200: interworking server

Claims

Document DB (Database) A user interface unit that receives user setting commands to be designed;
A storage unit for storing a document DB designed according to the input user setting command; And
A control unit for visualizing the big data according to a collection of the document DB (Database) according to the inputted user setting command in a graphic form of the collection diagram to design a document DB;
Lt; / RTI >
Wherein the control unit is operable to convert the big data into a collection which is a data storage logical structure of a document-based DB, a document which is a logical unit constituting the collection, And a data structure type of a unit of a tree structure. The first data structure is constructed by a data structure type according to a user setting command, and the data characteristics between the data structures are classified into independent task correlation A link that is a relationship structure that links a collection having a relationship, an embedded structure that is a relationship structure that links a collection having a dependent business correlation among collections, and a collection structure, It is expressed as a tree link type, and according to a user setting command, the second data character is constructed Creates a collection diagram based on the action, visualizes the big data as a graphic object, designs the document DB,

The control unit
Designing the collection diagram by assigning the designed collection diagram to a corresponding DB of a user-specified server in a domain name, a server name, and a DB name corresponding to a user business domain in accordance with a user description command. Based document DB design information processing device.

The method according to claim 1,
To construct the data structure first,
A collection may be constructed with a collection ID and a field in accordance with a user setting command or a document may be constructed with a document ID and a field corresponding to a user setting command, Based on a collection diagram, a first hierarchical structure is constructed by connecting a collection or a user-specified field of a document to a set of three tree structures (parent, ancestors, and Chiledren) Document DB design information processing device.

The method according to claim 1,
The second construction of the data nature is,
In accordance with the user setting command, the main data format is composed of the main format with the ID information of the collection and the sub data format with the field information of the collection. In this case, And the second data nature is constructed by embedding the collection in a document in a subform of the field information of the collection or by embedding the document in another document to construct the nature of the embedded data and designing the document DB based on the collection diagram Information processing device.

delete

The method according to claim 1,
The control unit
Index information and index type information including the order, size, price, and promo code information of the collection are registered, and the order of the collection designated according to the user description command ), A document DB is designed by constructing an index of a collection with index information including information on size, size, price, and promo_code and index type information, and designing a document DB based on a collection diagram Information processing device.

A method of designing a document DB of a control unit which is provided in a document DB design information processing apparatus for designing a large-capacity large data in a document DB (Document DB)
The big data is divided into a collection which is a data storage logical structure of a document based DB, a document which is a logical unit which constitutes the collection, a hierarchical document which is a representation structure of hierarchical data among logic units constituting the collection Generating a first data structure by first constructing a data structure of a type corresponding to a user setup command by dividing the data into a data structure type of a unit of a tree structure;
Link, which is a relational structure that links collections with independent business correlation between collections, data structure between each data structure, Embedded, which is a relational structure that connects collections with dependent business correlation among collections, Generating a second construction information by designating a data character as a type corresponding to a user setting instruction by expressing the connection link as a Tree link type which is a relation structure connecting a collection having a hierarchical business correlation; And
Creating a collection diagram based on the generated construction information, visualizing the big data in a graphic form and designing a document DB;
Lt; / RTI >

After visualizing the big data as a graphic form and designing a document DB,
Designing a document DB by assigning the designed collection diagram to a corresponding DB of a user-specified server in a domain name, a server name, and a DB name corresponding to a user business domain in accordance with a user description command;
Wherein the document DB design information processing apparatus is a collection diagram-based document DB design information processing apparatus.

The method according to claim 6,
Wherein the generating of the first construction information comprises:
A collection may be constructed with a collection ID and a field in accordance with a user setting command or a document may be constructed with a document ID and a field corresponding to a user setting command, Based on a collection diagram based on the collection diagram, and constructing a hierarchical document by connecting a collection or a user-specified field of the document to the three tree structures (parent, ancestors, and Chiledren) Document DB Design method of document DB used in design information processing device.

The method according to claim 6,
Wherein the generating the second construction information comprises:
In accordance with the user setting command, the main data format is composed of the main format with the ID information of the collection and the sub data format with the field information of the collection. In this case, And the second construction information is generated by embedding the collection into the document in the form of a subform of the field information of the collection or by embedding the document in another document to construct the nature of the embedded data and designing the document DB based on the collection diagram A document DB design method used in an information processing apparatus.

delete

The method according to claim 6,
Index information and index type information including the order, size, price, and promo code information of the collection are registered, and the order of the collection designated according to the user description command Designing a document DB by constructing an index of a collection by using index information and index type information including size, size, price, and promo_code information;
Wherein the document DB design information processing apparatus is a collection diagram-based document DB design information processing apparatus.