Home Database Mysql Tutorial Understand the core concepts and architecture of MySQL and MongoDB

Understand the core concepts and architecture of MySQL and MongoDB

Jul 12, 2023 pm 04:25 PM
Relational Database data sheet mysql core concepts: sql mongodb core concepts: nosql Document storage

Understand the core concepts and architecture of MySQL and MongoDB

Overview:
MySQL and MongoDB are both very popular database management systems. They have different characteristics and applicable scenarios in data storage and query. . This article will focus on the core concepts and architecture of MySQL and MongoDB, and give corresponding code examples.

1. MySQL
MySQL is a relational database management system that adopts a client/server structure. Its core concepts include databases, tables, fields, rows, and the SQL language.

  1. Database:
    The database is the way data is organized in MySQL. It consists of a series of tables. You can create a database through the CREATE DATABASE statement and select the database to use through the USE statement.
  2. Table:
    Table is the basic unit for storing data in MySQL. It consists of a series of fields and records. Tables can be created through the CREATE TABLE statement and modified and deleted through the ALTER TABLE and DROP TABLE statements.
  3. Field (Column):
    Field is a column in the table. Each field has a corresponding data type, such as integer, string, date, etc. Field types and constraints can be specified through column definitions in the CREATE TABLE statement.
  4. Row:
    A row is a record in the table, which contains a series of field values. You can insert new rows into the table through the INSERT INTO statement and query the rows in the table through the SELECT statement.
  5. SQL language:
    SQL (Structured Query Language) is the language used in MySQL to query and operate the database. It includes data definition language (DDL), data manipulation language (DML), data query language (DQL) and data control language (DCL), etc.

The following is a simple MySQL code example:

-- 创建数据库
CREATE DATABASE mydb;

-- 选择数据库
USE mydb;

-- 创建表
CREATE TABLE mytable (
  id INT PRIMARY KEY,
  name VARCHAR(50),
  age INT
);

-- 插入数据
INSERT INTO mytable (id, name, age) VALUES (1, 'Tom', 20);

-- 查询数据
SELECT * FROM mytable;
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2. MongoDB
MongoDB is a document-based database management system that adopts a distributed architecture. Its core concepts include databases, collections, documents, and the MongoDB query language.

  1. Database:
    The database is the way data is organized in MongoDB. It consists of a series of collections. You can select the database to use through the use command.
  2. Collection:
    A collection is the basic unit for storing data in MongoDB. It consists of a series of documents. Collections can be created through the db.createCollection command and deleted through the db.collection.drop command.
  3. Document:
    Document is the basic data unit in MongoDB, which is stored in BSON (Binary JSON) format. Documents can be of any structure and can be nested within other documents or arrays. You can insert new documents into the collection through the insert command, and query the documents in the collection through the find command.
  4. MongoDB Query Language:
    MongoDB uses a flexible but powerful query language to query documents. It supports multiple query operations such as equivalent query, range query, and regular expression query.

The following is a simple MongoDB code example:

-- 选择数据库
use mydb;

-- 创建集合
db.createCollection('mycollection');

-- 插入文档
db.mycollection.insert({id: 1, name: 'Tom', age: 20});

-- 查询文档
db.mycollection.find();
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Summary:
MySQL and MongoDB are two different types of database management systems in terms of data storage and query Have different characteristics and applicable scenarios. MySQL is suitable for the storage and query of relational data, while MongoDB is suitable for the storage and query of unstructured or semi-structured data. By understanding their core concepts and architecture, you can better select and use an appropriate database management system.

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