Home Database Mysql Tutorial Why Am I Getting InnoDB Error 1114 ('Table Is Full') Even Though My Table Isn't Full?

Why Am I Getting InnoDB Error 1114 ('Table Is Full') Even Though My Table Isn't Full?

Dec 12, 2024 pm 06:17 PM

Why Am I Getting InnoDB Error 1114 (

"Unlocking the Mystery of Error 1114: Diagnosing the 'Table Is Full' Issue in InnoDB Databases"

When attempting to insert a new row into an InnoDB table, you may encounter the perplexing error message: "ERROR 1114 (HY000): The table is full." Despite the table appearing to have ample space with a row count of only 188,959, this error can be frustrating.

To resolve this issue, it's crucial to understand that InnoDB management of tables differs from MyISAM. InnoDB utilizes a data dictionary to manage its tables, which means that every operation, including adding or deleting rows, is recorded in the log buffer. If the log buffer reaches its capacity, InnoDB will halt all operations, including inserts, resulting in the error "The table is full."

To address this, there are several potential solutions:

  1. Extend the Log Buffer Size: Adjust the innodb_log_file_size parameter in your MySQL configuration file (my.cnf) to increase the size of the log buffer. This will allow for more operations to be logged before the buffer overflows.
  2. Enable Autoextend for the Table: Configure the table to automatically extend its size when the maximum is reached. This can be done by adding the "autoextend" option to the table definition:
ALTER TABLE zip_codes ROW_FORMAT=COMPRESSED AUTOEXTEND=ON;
Copy after login
  1. Check for Disk Space: Even though the table appears to have ample rows, it's essential to ensure that the disk space allocated for the MySQL database has not been exhausted. Insufficient disk space can prevent InnoDB from creating new files or extending existing ones.
  2. Use innodb_file_per_table: This setting allows each InnoDB table to have its own data file, eliminating the limitation of a single file holding all table data. By using individual files, you can control the size of each table more effectively.

Additionally, it's important to note that row deletions can also contribute to the "The table is full" error. Each deleted row is marked for deletion but not physically removed from the table immediately. Over time, these marked rows can accumulate and occupy space, leading to the error. To reclaim this space, run the "OPTIMIZE TABLE" command or use the "VACUUM" command in MySQL.

The above is the detailed content of Why Am I Getting InnoDB Error 1114 ('Table Is Full') Even Though My Table Isn't Full?. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1653
14
PHP Tutorial
1251
29
C# Tutorial
1224
24
When might a full table scan be faster than using an index in MySQL? When might a full table scan be faster than using an index in MySQL? Apr 09, 2025 am 12:05 AM

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.

Can I install mysql on Windows 7 Can I install mysql on Windows 7 Apr 08, 2025 pm 03:21 PM

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

MySQL: Simple Concepts for Easy Learning MySQL: Simple Concepts for Easy Learning Apr 10, 2025 am 09:29 AM

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

Can mysql and mariadb coexist Can mysql and mariadb coexist Apr 08, 2025 pm 02:27 PM

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.

RDS MySQL integration with Redshift zero ETL RDS MySQL integration with Redshift zero ETL Apr 08, 2025 pm 07:06 PM

Data Integration Simplification: AmazonRDSMySQL and Redshift's zero ETL integration Efficient data integration is at the heart of a data-driven organization. Traditional ETL (extract, convert, load) processes are complex and time-consuming, especially when integrating databases (such as AmazonRDSMySQL) with data warehouses (such as Redshift). However, AWS provides zero ETL integration solutions that have completely changed this situation, providing a simplified, near-real-time solution for data migration from RDSMySQL to Redshift. This article will dive into RDSMySQL zero ETL integration with Redshift, explaining how it works and the advantages it brings to data engineers and developers.

The relationship between mysql user and database The relationship between mysql user and database Apr 08, 2025 pm 07:15 PM

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

Laravel Eloquent ORM in Bangla partial model search) Laravel Eloquent ORM in Bangla partial model search) Apr 08, 2025 pm 02:06 PM

LaravelEloquent Model Retrieval: Easily obtaining database data EloquentORM provides a concise and easy-to-understand way to operate the database. This article will introduce various Eloquent model search techniques in detail to help you obtain data from the database efficiently. 1. Get all records. Use the all() method to get all records in the database table: useApp\Models\Post;$posts=Post::all(); This will return a collection. You can access data using foreach loop or other collection methods: foreach($postsas$post){echo$post->

MySQL: The Ease of Data Management for Beginners MySQL: The Ease of Data Management for Beginners Apr 09, 2025 am 12:07 AM

MySQL is suitable for beginners because it is simple to install, powerful and easy to manage data. 1. Simple installation and configuration, suitable for a variety of operating systems. 2. Support basic operations such as creating databases and tables, inserting, querying, updating and deleting data. 3. Provide advanced functions such as JOIN operations and subqueries. 4. Performance can be improved through indexing, query optimization and table partitioning. 5. Support backup, recovery and security measures to ensure data security and consistency.

See all articles