MongoDB Concept Analysis

MongoDB Concept Analysis

No matter what database we learn, we should learn the basic concepts, the basic concept in MongoDB is a document, a collection, a database, we introduce each one.

The following table will help you understand some of the concepts in MONGO more easily:

SQL Terminology/Concepts	MongoDB Terminology/Concepts	Explanation/Description
Database	Database	Database
Table	Collection	Database Tables/Collections
Row	Document	Data record lines/documents
Column	Field	Data fields/Fields
Index	Index	Index
Table joins		Table connection, MongoDB not supported
Primary key	Primary key	Primary key, MongoDB automatically sets the _id field as the primary key

Through examples, we can also more intuitively understand some of the concepts in MONGO:

Database

Multiple databases can be built in a mongodb.

The default database for MongoDB is "DB", and the database is stored in the data directory.

A single instance of MongoDB can hold multiple independent databases, each with its own collection and permissions, and different databases placed in different files.

the show DBS command can display a list of all data.

$./mongomongodb Shell version:3.0.6connecting to:test> show dbslocal  0.078GBtest   

Execute the "DB" command to display the current database object or collection.

You can connect to a specified database by running the "use" command.

In the example command above, "Local" is the database you want to link to.

In the next section we will explain in detail the use of commands in MongoDB.

The database is also identified by name. The database name can be any UTF-8 string that meets the following criteria.

• Cannot be an empty string ("").
• Must not contain ' (space) 、.、 $,/, \, and (empty).
• should be all lowercase.
• Up to 64 bytes.

Some database names are reserved and can be accessed directly from these databases with special effects.

• admin: From a permission point of view, this is the "root" database. If you add a user to this database, the user automatically inherits permissions from all databases. Some specific server-side commands can only be run from this database, such as listing all databases or shutting down the server.
• Local : This data is never copied and can be used to store any collection that is limited to a local single server
• config: When MONGO is used for sharding settings, the Config database is used internally to hold information about the Shard.

Document

The document is a key-value (Key-value) pair (that is, Bson). MongoDB documents do not need to set the same field, and the same field does not require the same data type, which is very different from the relational database, is also a very prominent MongoDB features.

An example of a simple document is as follows:

{"Site": "www.w3cschool.cn", "name": "W3cschool Tutorial"}

The following table lists the terms that the RDBMS corresponds to MongoDB:

RDBMS	MongoDB
Database	Database
Form	Collection
Yes	Document
Column	Field
Table Union	Embed a document
Primary key	Primary KEY (MongoDB provides key for _id)
Database Services and clients
Mysqld/oracle	Mongod
Mysql/sqlplus	Mongo

It is important to note that:

1. The key/value pairs in the document are ordered.
2. The values in the document can be not only strings in double quotes, but also several other data types (even the entire embedded document).
3. MongoDB distinguishes between type and case.
4. MongoDB documents cannot have duplicate keys.
5. The key of the document is a string. In addition to a few exceptions, keys can use any UTF-8 character.

Document key naming specification:

• The key cannot contain a/s (null character). This character is used to denote the end of a key.
• . and $ have special meaning and can only be used in certain circumstances.
• Keys that begin with the underscore "_" are reserved (not strictly required).

Collection

A collection is a MongoDB document group, similar to a table in an RDBMS (relational database management system: Relational databases Management systems).

The collection exists in the database, the collection does not have a fixed structure, which means that you can insert data in different formats and types on the collection, but usually we have some relevance to the data that we insert into the collection.

For example, we can insert a document of the following different data structures into the collection:

{"Site": "Www.baidu.com"} {"Site": "www.google.com", "name": "Google"} {"Site": "www.w3cschool.cn", "name": "W3cschool Tutorial", "num": 5}

When the first document is inserted, the collection is created.

Valid set name

• The collection name cannot be an empty string "".
• The collection name cannot contain the \ s character (null character), which represents the end of the collection name.
• The collection name cannot be "system." Begins with a prefix reserved for the system collection.
• User-created collection names cannot contain reserved characters. Some drivers do support inclusion in the collection name, because some system-generated collections contain that character. Never show $ in a name unless you want to access a collection created by this system.

The following example:

Db.col.findOne ()

Capped collections

Capped collections is a fixed-size collection.

It has high performance and queue expiration characteristics (expiration in order of insertion). Somewhat similar to the concept of "RRD".

The Capped collections is a high-performance automatic maintenance object Insertion Order. It is very suitable for similar logging functions and the standard collection differs, you must explicitly create a capped collection, specifying the size of a collection, in bytes. Collection data storage space values are allocated in advance.

Note that the specified storage size contains the header information for the database.

Db.createcollection ("Mycoll", {capped:true, size:100000})

• In capped collection, you can add new objects.
• Can be updated, however, objects do not increase storage space. If it increases, the update will fail.
• The database is not allowed to be deleted. Use the drop () method to delete all collection rows.
• Note: After deletion, you must explicitly recreate this collection.
• In a 32bit machine, the capped collection has a maximum storage of 1e9 (1x109) bytes.

Meta data

The information for the database is stored in the collection. They use the system's namespace:

dbname.system.*

In the MongoDB database, the namespace <dbname>.system.* is a special set (Collection) that contains a variety of system information, as follows:

Collection Namespaces	Description
Dbname.system.namespaces	Lists all namespaces.
Dbname.system.indexes	Lists all indexes.
Dbname.system.profile	Contains database summary (profile) information.
Dbname.system.users	Lists all users who can access the database.
Dbname.local.sources	Contains server information and status for the replication peer-to-peer (slave).

The following restrictions apply to modifying objects in a System collection.

You can create an index by inserting data in {{system.indexes}}. But otherwise the table information is immutable (the Special Drop INDEX command automatically updates the information).

{{System.users}} is modifiable. {{System.profile}} is removable.

MongoDB data type

The following table is a few of the data types commonly used in MongoDB.

Data Type	Description
String	String. Data types commonly used to store data. In MongoDB, the UTF-8 encoded string is legal.
Integer	Integer value. Used to store numeric values. Depending on the server you are using, it can be divided into 32-bit or 64-bit.
Boolean	Boolean value. Used to store Boolean values (True/false).
Double	Double-precision floating-point value. Used to store floating-point values.
Min/max keys	Compares a value to the lowest and highest value of a BSON (binary JSON) element.
Arrays	Used to store an array or list or multiple values as a single key.
Timestamp	Time stamp. Record when the document was modified or added.
Object	Used for inline documents.
Null	Used to create a null value.
Symbol	Symbol. The data type is basically the same as the string type, but unlike it, it is typically used in languages with special symbol types.
Date	Date time. Use the UNIX time format to store the current date or time. You can specify your own datetime: Create a Date object and pass in the month-date information.
Object ID	The object ID. The ID used to create the document.
Binary Data	Binary data. Used to store binary data.
Code	The code type. Used to store JavaScript code in a document.
Regular expression	The regular expression type. Used to store regular expressions.

MongoDB Conceptual parsing