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Docker Tags GitHub branch check runs Python Version

Introduction

This is a script for importing database tables from mysql's ibd file, targeting the innodb storage engine.

If your table is using the MyISAM engine, please go to the mysql documentation and use import table from to restore table data from frm and MYD files.

For the innodb engine, in versions earlier than mysql 8, each table has a frm file and an ibd file in the data directory. The frm file is used to save table structure.

Start from mysql 8, the table structure is saved with sdi, which is embedded in the ibd file. So there is only one {table}.ibd file for each table.

Mysql provides the mysqlfrm tool to generate table building statements from frm for versions earlier than mysql 8, However, for versions after mysql 8, only the ibd2sdi tool is provided to generate sdi files (table structures in JSON format) from ibd files, and sql statements cannot be generated directly.

This project supports the following two functions:

  • For versions after mysql 8, support for generating table statements from ibd
  • For any version of mysql, after the table structure is restored, the ibd file can be imported into table data in batches

How to install

In Docker or K8s no steps required just use pre built image or build one from Dockerfile in project

If you are not using Docker or K8s

  1. Ensure Python3.12 or newer is install & Clone Project
  2. Make sure that ibd2sdi command is available (install mysql server package).
  3. Install Python3 and ensure Pip is installed
  4. Run pip install -r requirements.txt

you are ready to go... refer to How to use section to continue

How to use

Both frm and ibd files exists (versions earlier than mysql 8)

Please refer to this article or this answer to generate the create table statement from the frm file and execute the create table structure.

If there are few tables, you can manually import table data from ibd directly according to the method in the above article.

If there are many tables, you can use this script to modify the config.yml configuration file, update the directory and database information, and use the command python main.py load_data to import data into the database.

only ibd files (versions after mysql 8)

Try to keep the new database version consistent with the original database version, otherwise errors may occur when importing data. If the original table creation SQL can be found, there's no need to proceed with step 2; instead, use the original SQL to create an empty table, which can avoid unnecessary errors.

  1. Modify config.yml file according to it's comments (use -c or --config in your commands if you want to have config in another location)
  2. Execute python main.py tosql to generate sdi and sql files from ibd files (set apply_sql to true in config to run them on provided connection, but it's better to check/review output then run that manually)
  3. Execute python main.py load_data to batch import data from the ibd file to the database (Both input idb and mysql_db_dir should be available + connection availability)
  4. wait for it to load the data into your new database

With K8s

Checkout k8s-sample.yaml and changes value according to your needs (you will also need an active instance of the new database + Datadir access) and apply that in your cluster and exec into the newly created pod using kubectl exec -it -n NAMESPACE po/PODNAME -- bash

Also an alias added be make it easier to use called mysql-db use mysql-idb instead of python main.py

Other steps are like previous section

With Docker

Bring up a container with both new and old data available (with connection access to new db) with image: ghcr.io/anyongjin/mysql_idb:mysql-8.4 (change mysql version if needed)

Other steps are like previous section

related question

Schema mismatch (Clustered index validation failed. Because the .cfg file is missing, table definition of the IBD file could be different. Or the data file itself is already corrupted.)

Occasionally this error occurs when importing ibd after mysql8. Use the ibd2sdi tool to generate sdi from the new table, and compare the old and new sdi files, which are basically the same. In the issues, a friend mentioned that the difference between the generated SQL and the original SQL might cause the table structure information to not match completely. He solved it by changing the statements that define primary keys and indexes from INDEX to KEY. There might also be other error situations, which could be considered as a direction: #14.

Bad start value for auto-increment column

After importing data from the ibd file, the starting value of the auto-increment table is still 0, and an error would occur while inserting new data. You can use the following command to manually query and fix it:

select max(id) from `mytable`;
ALTER TABLE `mytable` AUTO_INCREMENT=val+1