Use MySQL in Go language to achieve fast data retrieval

With the development of the Internet and the increase in data volume, fast retrieval has become a necessity for data storage and management. As one of the most popular relational databases currently, MySQL has powerful query capabilities and stable performance. This article will introduce how to use Go language to achieve fast retrieval of data.

1. MySQL database basics

1. Creation and use of database

To create a new database in MySQL, you can use the following command:

CREATE DATABASE database_name;

Use the following command to enter the specified database:

USE database_name;

2. Creation and use of tables

To create a table, use the following command:

CREATE TABLE table_name (
   column_name1 data_type1,
   column_name2 data_type2,
   ...
   column_nameN data_typeN
);

For example, we can create a user table:

CREATE TABLE user (
   id INT PRIMARY KEY,
   name VARCHAR(20),
   age INT
);

To insert data, use the following command:

INSERT INTO user (id, name, age) VALUES (1, 'Tom', 28);

To query data, you can use the following command:

SELECT * FROM user WHERE age >= 25;

2. Use Go to connect to MySQL

1. Install the database driver

First you need to install the MySQL database driver. You can use the following command:

go get -u github.com/go-sql-driver/mysql

2. Establish a connection

Use the following code to establish a connection with the MySQL database:

import (
    "database/sql"
    _ "github.com/go-sql-driver/mysql"
)

func main() {
    db, err := sql.Open("mysql", "user:password@tcp(ip:port)/database_name")
    if err != nil {
        panic(err.Error())
    }
    defer db.Close()
}

You need to enter user, password, Replace ip, port and database_name with the correct values.

3. Query data

Use the following code to query data:

rows, err := db.Query("SELECT * FROM user WHERE age >= ?", 25)
if err != nil {
    panic(err.Error())
}
defer rows.Close()
for rows.Next() {
    var id int
    var name string
    var age int
    err := rows.Scan(&id, &name, &age)
    if err != nil {
        panic(err.Error())
    }
    fmt.Println(id, name, age)
}

You need to replace the SELECT statement and query parameters with the correct values.

4. Insert data

Use the following code to insert data:

stmt, err := db.Prepare("INSERT INTO user (id, name, age) VALUES (?, ?, ?)")
if err != nil {
    panic(err.Error())
}
defer stmt.Close()
_, err = stmt.Exec(2, "Jerry", 30)
if err != nil {
    panic(err.Error())
}

You need to replace the INSERT statement and insertion parameters with the correct values.

3. Use indexes to speed up queries

The index in MySQL is a data structure that can speed up query operations on a certain column in the table. When using MySQL database for data query in Go language, using indexes can significantly improve query efficiency. The following is some basic knowledge about indexes:

1. Index types

Common index types in MySQL are: B-Tree index, hash index, full-text index, etc. The most commonly used one is the B-Tree index.

2. Index creation

Use the following statement to create an index for a column in the table:

CREATE INDEX index_name ON table_name (column_name);

For example, we can create an index for the age column in the user table Create an index:

CREATE INDEX age_index ON user (age);

3. Index usage

When querying, you can use the following statement to force MySQL to use the index:

SELECT * FROM user USE INDEX (age_index) WHERE age >= 25;

In actual situations, MySQL will automatically choose the most appropriate index to use. You can use the following command to view the execution plan of the query:

EXPLAIN SELECT * FROM user WHERE age >= 25;

4. Summary

This article introduces how to use Go language to connect to the MySQL database and use indexes to accelerate queries. In practical applications, using appropriate indexes and optimizing SQL statements can greatly improve the query efficiency and performance of the database and achieve rapid data retrieval.

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