MongoDB Data Storage Modeling

MongoDB Common Data Modeling method: 1) Document relationship modeling, 2) tree structure modeling

Model:
|--1, document relationship modeling
| |--1) Embedded document model
| |--2) Embedded document model
|--2, tree structure modeling
|--1) Parent document reference
|--2) Sub-document reference
|--3) Ancestor array
|--4) Materialized path
|--5) nested sets

The following records the common modeling and the specific relevant sample code for each model: First, document relationship modeling:
1) Embedded document model

{
   _id: "Joe",
   Name: "Joe Bookreader",
   address: {
              Street: "123 Fake Street", City
              : "Faketon",
              State: "MA",
              Zip: "12345"
            }
}

2) document Reference Model

{
   _id: "Joe",
   Name: "Joe Bookreader"
}


{
   patron_id: "Joe",
   Street: "123 Fake Street", City
   : "Faketon", State
   : "MA",
   Zip: "12345"
}

second, tree structure modeling

Tree-shaped business structure diagram:

(note: Quoted from MongoDB Chinese official website map)

1) Parent Document reference

Db.categories.insert ({_id: "MongoDB", Parent: "Databases"})
Db.categories.insert ({_id: "dbm", Parent: "Databases })
Db.categories.insert ({_id: "Databases", Parent: "Programming"})
Db.categories.insert ({_id: "Languages"  , Parent: "Programming"})
Db.categories.insert ({_id: "Programming", "Parent:" Books "}
) Db.categories.insert ( {_id: "Books", Parent:null})

2) Sub-document reference

Db.categories.insert ({_id: "MongoDB", Children: []})
Db.categories.insert ({_id: "dbm", Children: []})
DB.C Ategories.insert ({_id: "Databases", Children: ["MongoDB", "dbm"]})
Db.categories.insert ({_id: "Languages", CHI Ldren: []})
Db.categories.insert ({_id: "Programming", Children: ["Databases", "Languages"]})
Db.categorie S.insert ({_id: "Books", Children: ["Programming"]})

3) Ancestor Array

Db.categories.insert ({_id: "MongoDB", Ancestors: ["Books", "Programming", "Databases"], Parent: "Databases"})
db . Categories.insert ({_id: "dbm", Ancestors: ["Books", "Programming", "Databases"], Parent: "Databases"})
Db.categ Ories.insert ({_id: "Databases", Ancestors: ["Books", "programming"], Parent: "Programming"})
Db.categories.inser T ({_id: "Languages", Ancestors: ["Books", "programming"], Parent: "Programming"})
Db.categories.insert ({_id: " Programming ", Ancestors: [" Books "], Parent:" Books "})
Db.categories.insert ({_id:" Books ", Ancestors: [], Parent : null})

4) Materialized path

Db.categories.insert ({_id: "Books", Path:null})
Db.categories.insert ({_id: "Programming", Path: ", Books,"}) 
  db.categories.insert ({_id: "Databases", Path: ", Books,programming,"})
Db.categories.insert ({_id: "Languages ", Path:", Books,programming, "})
Db.categories.insert ({_id:" MongoDB ", Path:", Books,programming,databases, "})" C4/>db.categories.insert ({_id: "dbm", Path: ", Books,programming,databases,"})

5) Nested Sets

Db.categories.insert ({_id: "Books", parent:0, Left:1, right:12})
Db.categories.insert ({_id: "Programming", PA  Rent: "Books", Left:2, right:11})
Db.categories.insert ({_id: "Languages", Parent: "Programming", Left:3, right: 4})
Db.categories.insert ({_id: "Databases", "Parent:" Programming ", Left:5, right:10})
Db.categories.inser T ({_id: "MongoDB", Parent: "Databases", Left:6, Right:7})
Db.categories.insert ({_id: "dbm", Parent: "Databases ", Left:8, Right:9})