Fundamentos de Bases de datos
Cómo diseñar bases de datos y hacer queries efectivos
Cómo identificar y organizar datos en bases de datos
Introducción práctica a SQL y bases de datos relacionales
Trabajo Directo con MySQL: Cliente, Servidor y Manejo de Errores
Instalación de MySQL en varios sistemas operativos
Quiz: Fundamentos de Bases de datos
Introducción a Bases de Datos Relacionales
Conceptos básicos de bases de datos: columnas, tuplas y relaciones
Creación de Tablas en MySQL con Tipos de Datos Esenciales
Creación de tablas en MySQL con Primary Key y Timestamp
Normalización y relaciones en bases de datos relacionales
Creación y visualización de bases de datos con DBML y DBDiagram
Quiz: Introducción a Bases de Datos Relacionales
Manipulación de Datos
Cómo crear tablas y utilizar 'Foreign Keys' en MySQL
Crear tablas y establecer llaves foráneas en SQL
Tipos de tablas en una base de datos relacional
Cómo Modificar Tablas en SQL con ALTER TABLE
Cómo Insertar Datos y Manejar Errores en MySQL
Creación Avanzada de una Tabla Products en MySQL
Uso práctico del WHERE en SQL para filtrar datos con precisión
Guía práctica para modificar datos usando UPDATE en SQL
Cómo eliminar datos en SQL: métodos lógicos y físicos
Uso Avanzado del Comando SELECT en SQL
Quiz: Manipulación de Datos
Agrupación de Datos
Funciones agregadoras en MySQL para análisis eficiente de datos
Insertar datos desde otra tabla en MySQL con Insert Into Select
Cómo utilizar Left Join en bases de datos relacionales
Cómo consultar y relacionar tablas en MySQL
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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.
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:
INSERT IGNORE
to ignore the failed insertion.ON DUPLICATE KEY UPDATE
.Understanding the practical difference between these two options is vital to optimize our workflow when inserting data:
Insert ignore:
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.
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.
Example:
SELECT CONCAT('Hello ', name) FROM products;
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.
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.
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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