# Myt - MySQL and MariaDB version control using Git Utilities to ease the maintenance of MySQL or MariaDB database versioning using a Git repository. This project is just to bring an idea to life and is still in an early stage of development, so any help is welcomed! Feel free to contribute. ## Requirements * Git * Docker (Optional, used to manage local server) ## Installation It's recommended to install the package globally. ```text # npm install -g myt $ myt ``` You can also install locally and use the *npx* command to execute it. ```text $ npm install myt $ npx myt ``` ## How to use Execute *myt* with the desired command. ```text $ [npx] myt [-w|--workspace ] [-r|--remote ] [-d|--debug] [-h|--help] [] ``` The default workspace directory is the current working directory and unless otherwise indicated, the default remote is *local*. Database versioning commands: * **init**: Initialize an empty workspace. * **pull**: Incorporate database routine changes into workspace. * **push**: Apply changes into database. * **version**: Creates a new version. Local server management commands: * **dump**: Export database structure and fixtures. * **fixtures**: Export local database fixtures. * **run**: Build and start local database server container. * **start**: Start local database server container. Each command can have its own specific commandline options. ## Basic information First of all you have to initalize the workspace. ```text $ myt init ``` Now you can configure Myt using *myt.config.yml* file, located at the root of your workspace. This file should include the project codename and schemas/tables wich are exported when you use *pull* or *dump* commands. Don't forget to initialize git (if it isn't initialized yet). ```text $ git init ``` ### Remotes Create database connection configuration for each environment at *remotes* folder using standard MySQL *ini* configuration files. The convention remote names are *local*, *production* and *test*. ```text remotes/[remote].ini ``` ### Startup Once the basic configuration is done, routines can be imported from the database into the project, it is recommended to use the *production* remote. ```text $ myt pull production ``` From now on, you can use the project as if it were a standard git repository (since it is). To apply changes to the database run the *push* command on the desired remote. ```text $ myt push [] [--commit] ``` ### Routines Routines are placed inside *routines* folder. All objects that have PL/SQL code are considered routines. It includes events, functions, procedures, triggers and views with the following structure. ```text routines `- schema |- events | `- eventName.sql |- functions | `- functionName.sql |- procedures | `- procedureName.sql |- triggers | `- triggerName.sql `- views `- viewName.sql ``` ### Versions Versions are placed inside *versions* folder with the following structure. Don't place your PL/SQL objects here, use the routines folder! ```text versions |- 00001-firstVersionCodeName | |- 00-firstExecutedScript.sql | |- 01-secondScript.sql | `- 99-lastScript.sql `- 00002-secondVersion |- 00-firstExecutedScript.sql `- 00-sameNumbers.sql ``` ### Local server The local server is created as a MariaDB Docker container using the base dump created with the *dump* command plus pushing local versions and changed routines. ### Dumps You can create your local fixture and structure files. * *dump/beforeDump.sql* * *dump/afterDump.sql* * *dump/fixtures.sql* ## Versioning commands ### init Initializes an empty workspace. ```text $ myt init ``` ### pull Incorporates database routine changes into workspace. ```text $ myt pull [remote] [-f|--force] [-c|--checkout] [-u|--update] [-s|--sums] ``` When *--checkout* option is provided, it does the following before export: 1. Get the last database push commit (saved in versioning tables). 2. Creates and checkout to a new branch based in database commit. ### push Applies versions and routine changes into database. ```text $ myt push [] [-f|--force] [-c|--commit] [-s|--sums] ``` Commit is saved into database only if *--commit* option is provided, it prevents from accidentally saving local commits into shared servers, causing subsequent pushes from other clients to fail because they can't get that commit from the git tree in order to get differences. ### version Creates a new version folder, when name is not specified it generates a random name mixing a color with a plant name. ```text $ myt version [] ``` ### clean Cleans all already applied versions older than *maxOldVersions*. ```text $ myt clean ``` ## Local server commands ### dump Exports database structure and fixtures from remote into hidden files located in *dump* folder. If no remote is specified *production* is used. ```text $ myt dump [] ``` ### fixtures Exports local database fixtures into *dump/fixtures.sql* files. If no remote is specified *local* is used. ```text $ myt fixtures [] ``` ### run Builds and starts local database server container. It only rebuilds the image when fixtures have been modified or when the day on which the image was built is different to today. ```text $ myt run [-c|--ci] [-r|--random] ``` ### start Starts local database server container. It does the minium effort, if it doesn't exists calls the run command, if it is started does nothing. Keep in mind that when you do not rebuild the docker you may be using an outdated version of it. ```text $ myt start ``` ## Why The main reason for starting this project it's because there are no fully free and open source migration tools available that allow versioning database routines with an standard CVS system as if they were normal application code. Also, the existing tools are too complex and require too much knowledge to start a small project. ## ToDo * Undo changes when there is an error applying a version using "undo" files. * Console logging via events. * Lock version table row when pushing. * Preserve all characteristics on pull: SQL mode, character set, algorithm... ## Built With * [Git](https://git-scm.com/) * [nodejs](https://nodejs.org/) * [NodeGit](https://www.nodegit.org/) * [docker](https://www.docker.com/)