What is the smallest one-digit data type in MySQL?
The minimum data type of one bit can be bit(1). The syntax is as follows -
yourColumnName bit(1)
To understand the above syntax, let us create a table. The query to create the table is as follows -
mysql> create table bitDemo -> ( -> isValid bit(1) -> ); Query OK, 0 rows affected (0.49 sec)
Now you can check all the details of the table with the help of SHOW CREATE command. The query is as follows -
mysql> show create table bitDemo;
This is the output -
+---------+-----------------------------------------------------------------------------------------------------------------------------+ | Table | Create Table | +---------+-----------------------------------------------------------------------------------------------------------------------------+ | bitDemo | CREATE TABLE `bitdemo` (`isValid` bit(1) DEFAULT NULL) ENGINE =InnoDB DEFAULT CHARSET =utf8mb4 COLLATE =utf8mb4_0900_ai_ci | +---------+-----------------------------------------------------------------------------------------------------------------------------+ 1 row in set (0.00 sec)
Use the insert command to insert some records in the table. The query is as follows -
mysql> insert into bitDemo values(0); Query OK, 1 row affected (0.13 sec) mysql> insert into bitDemo values(1); Query OK, 1 row affected (0.10 sec) mysql> insert into bitDemo values(1); Query OK, 1 row affected (0.07 sec) mysql> insert into bitDemo values(0); Query OK, 1 row affected (0.14 sec)
Use the select statement to display all records in the table. The query is as follows -
mysql> select *from bitDemo;
This is the output -
+---------+ | isValid | +---------+ | | | | | | | | +---------+ 4 rows in set (0.00 sec)
To display the bit value, use the following query -
mysql> select isValid+0 from bitDemo;
The following is the output -
+-----------+ | isValid+0 | +-----------+ | 0 | | 1 | | 1 | | 0 | +-----------+ 4 rows in set (0.00 sec)
The above is the detailed content of What is the smallest one-digit data type in MySQL?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

The article discusses using MySQL's ALTER TABLE statement to modify tables, including adding/dropping columns, renaming tables/columns, and changing column data types.

Article discusses configuring SSL/TLS encryption for MySQL, including certificate generation and verification. Main issue is using self-signed certificates' security implications.[Character count: 159]

Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]

Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

The article discusses dropping tables in MySQL using the DROP TABLE statement, emphasizing precautions and risks. It highlights that the action is irreversible without backups, detailing recovery methods and potential production environment hazards.
