Fundamentos de Bases de datos

1

Cómo diseñar bases de datos y hacer queries efectivos

2

Cómo identificar y organizar datos en bases de datos

3

Introducción práctica a SQL y bases de datos relacionales

4

Trabajo Directo con MySQL: Cliente, Servidor y Manejo de Errores

5

Instalación de MySQL en varios sistemas operativos

Quiz: Fundamentos de Bases de datos

Introducción a Bases de Datos Relacionales

6

Conceptos básicos de bases de datos: columnas, tuplas y relaciones

7

Creación de Tablas en MySQL con Tipos de Datos Esenciales

8

Creación de tablas en MySQL con Primary Key y Timestamp

9

Normalización y relaciones en bases de datos relacionales

10

Creación y visualización de bases de datos con DBML y DBDiagram

Quiz: Introducción a Bases de Datos Relacionales

Manipulación de Datos

11

Cómo crear tablas y utilizar 'Foreign Keys' en MySQL

12

Crear tablas y establecer llaves foráneas en SQL

13

Tipos de tablas en una base de datos relacional

14

Cómo Modificar Tablas en SQL con ALTER TABLE

15

Cómo Insertar Datos y Manejar Errores en MySQL

16

Creación Avanzada de una Tabla Products en MySQL

17

Uso práctico del WHERE en SQL para filtrar datos con precisión

18

Guía práctica para modificar datos usando UPDATE en SQL

19

Cómo eliminar datos en SQL: métodos lógicos y físicos

20

Uso Avanzado del Comando SELECT en SQL

Quiz: Manipulación de Datos

Agrupación de Datos

21

Funciones agregadoras en MySQL para análisis eficiente de datos

22

Insertar datos desde otra tabla en MySQL con Insert Into Select

23

Cómo utilizar Left Join en bases de datos relacionales

24

Cómo consultar y relacionar tablas en MySQL

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Cómo Insertar Datos y Manejar Errores en MySQL

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What is an insert in MySQL and how is it used?

In any database related project, it is important to clearly understand the structure and logic behind the storage of information. Once the tables and their component fields have been clearly defined, the next crucial step is to add data using the insert command. This command allows you to specify in which table the data will be stored and exactly what information we are going to enter in each column or field.

The basic syntax for inserting data into a table is:

INSERT INTO table_name (field1, field2)VALUES  ('value1', 'value2');

From the previously defined structure, if certain fields have automatic values or allow null, then it is not necessary to explicitly insert them. This greatly facilitates this process.

How to ensure unique data in MySQL?

Maintaining unique values in a database is fundamental to safeguard its integrity. To do this, MySQL allows you to mark certain fields as unique, thus avoiding the entry of duplicates.

For example, when trying to insert a row with an existing value in a field marked as unique, MySQL will return an error indicating a duplicate entry. This immediately alerts the developer that something is wrong and requires revision.

Depending on the context we want to handle these errors, we can:

  • Catch and process the error directly.
  • Use INSERT IGNORE to ignore the failed insertion.
  • Use a specific statement called ON DUPLICATE KEY UPDATE.

What is the difference between insert ignore and on duplicate key update?

Understanding the practical difference between these two options is vital to optimize our workflow when inserting data:

Insert ignore:

  • This will not throw visible errors when attempting to insert duplicate data.
  • It simply causes the operation to fail silently displaying only warnings.

Example:

INSERT IGNORE INTO products(name,  slog)VALUES  ('Blue-feather','blue-feather');

On duplicate key update: This option gives much more control over what happens in case you try to insert a duplicate data.

Practical example:

INSERT INTO products (name,  slog)VALUES  ('Blue feather', 'blue-feather')ON DUPLICATE  KEY UPDATE  description='Item updated in duplicate';

This will automatically update the existing row instead of failing or ignoring.

What does the concat combination and math functions allow in MySQL?

When managing databases, it is common to need to generate descriptions or perform numeric operations dynamically. The concat() functions and common mathematical operations, integrated into SQL statements, allow you to fulfill these purposes efficiently.

  • Concat: Combines several text fragments or numbers into a single string.

Example:

SELECT CONCAT('Hello ', name) FROM products;
  • Numeric functions: You can do direct mathematical operations using stored values.

Practical example to multiply a price by a number of products:

UPDATE products SET total_price  = price  * quantity;

These combinations are especially useful when relating and managing data that require frequent and varied calculations.

How to insert multiple records in a single statement?

MySQL allows you to insert multiple records simultaneously using a concise and practical structure. You only need to separate multiple data tuples with commas within the same insert statement.

Example:

INSERT INTO products (name,  slog, description)VALUES ('Black feather', 'black-feather', 'Description here'),('Pink-feather', 'pink-feather', 'Other description here');

In this way, the insertion process becomes extremely efficient when handling large volumes of data.

Would you like to comment on your experience?

What has been your biggest challenge when working with inserts and handling duplicate data in databases? Leave a comment and share your experience with us.

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Por como está el orden de las clases quizá si siguieron los pasos del profesor al consultar la tabla productos no les aparecerá esas columnas de created\_at y updated\_at, pero con los conocimientos adquiridos hasta ahora podemos modificar las tablas y agregar las columnas! `ALTER TABLE products add column created_at timestamp not null default CURRENT_TIMESTAMP;` y `ALTER TABLE products add column updated_at timestamp not null default CURRENT_TIMESTAMP on update CURRENT_TIMESTAMP;`
Bueno no es tan sencillo entenderlo pero explicas muy bien.
Gracias por todo profe.