1.5.0 • Published 3 years agoCLI

myvc

Licence

GPL-3.0

Version

1.5.0

Deps

Size

83 kB

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Weekly

Stars

DeprecatedThis package is deprecated

Summary Dependency Versions

Myt - MariaDB and MySQL version control

Utilities to ease the maintenance of MariaDB or MySQL 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 >= 23 with BuildKit (Optional, used to manage local server)

Installation

Required libraries to build with node-gyp.

# apt install libkrb5-dev libssl-dev

It's recommended to install the package globally.

# npm install -g @verdnatura/myt
$ myt <command>

You can also install locally and use the npx command to execute it.

$ npm install @verdnatura/myt
$ npx myt <command>

How to use

Execute myt with the desired command.

$ [npx] myt [-w|--workspace <string>] [-r|--remote <string>] [-d|--debug]
[-h|--help] <command> [<args>]

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.
create: Creates a new routine file.
clean: Cleans old versions.

Local server management commands:

dump: Export database structure and fixtures.
fixtures: Export local database fixtures.
build: Builds local database server image.
apply: Applies structure, fixtures and changes to database.
run: Build and start local database server container.
start: Start local database server container.

Each command can have its own specific commandline options, you can see them by running the command along with the --help parameter, only the most commonly used ones are documented here.

$ myt <command> [-h|--help]

Usage as library

It is also possible to use myt as a JavaScript library, not only from the command line. Below is a reference example.

const Myt = require('@verdnatura/myt/myt');
const Run = require('@verdnatura/myt/myt-run');

async function main() {
   const myt = new Myt();
   await myt.init({
      workspace: path.join(__dirname, '..')
   });
   const server = await myt.run(Run, {
      random: true,
      persist: process.platform != 'linux'
   });
   console.log(server.dbConfig);
   await myt.deinit();
}

Basic information

First of all you have to initialize the workspace.

$ 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 which are exported when you use pull or dump commands.

Don't forget to initialize git (if it isn't initialized yet).

$ 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.

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.

$ 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.

$ myt push [<remote>] [--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.

  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!

  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.

structure/before.sql
structure/after.sql
fixtures/before.sql
fixtures/after.sql
fixtures/local.sql

Realms

Realms allows users to apply version-specific changes based on their configured environment, or "realm". This ensures that certain changes are only applied when the user is operating within a specific realm, providing an additional layer of customization and control.

Realm folders structure.

   realms
   |- marvel
   |  `- 00-spiderman.sql
   |  `- 01-hulk.sql
   `- dc
      `- 00-superman.sql
      `- 01-batman.sql
      `- 02-wonder_woman.sql
      `- 03-flash.sql

Configuration

To make use of this feature, you need to configure your realm in the versionConfig table. Set your realm by inserting or updating a record in this table. The realm field should contain the identifier of your environment.

Realm-specific version files

To designate a version file as realm-specific, include a .your_realm. segment before the file extension. For example, if your realm is set to 'foo', the file should be named like this: filename.foo.sql.

Versioning commands

init

Initializes an empty workspace.

$ myt init [<args>]

pull

Incorporates database routine changes into workspace.

$ myt pull [<args>] [-f|--force] [<remote>]

When --checkout option is provided, it does the following before export:

Get the last database push commit (saved in versioning tables).
Creates and checkout to a new branch based in database commit.

push

Applies versions and routine changes into database.

$ myt push [<args>] [-f|--force] [-c|--commit] [<remote>]

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.

$ myt version [<args>] [<name>]

create

Creates a new routine file with a default template.

$ myt create [<args>] [-t <type>] <schema>.<name>

clean

Cleans all already applied versions older than maxOldVersions.

$ myt clean [<args>] [-p|--purge]

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.

$ myt dump [<args>] [-l|--lock] [<remote>]

fixtures

Exports local database fixtures into dump/fixtures.sql files. If no remote is specified local is used.

$ myt fixtures [<args>] [<remote>]

build

Builds local database server image. It only rebuilds the image when sources have been modified.

$ myt build [<args>] [-n|--name] [-t|--tag] [-f|--force] [<realm>]

apply

Applies structure, fixtures and changes to database. Primarily used by the build command to rebuild the local database.

$ myt apply [<args>] [<realm>]

run

Builds and starts local database server container. It only rebuilds the image when dump have been modified.

$ myt run [<args>] [-c|--ci] [-r|--random] [<realm>]

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.

$ myt start [<args>]

Why

The main reason for starting this project is because there are no fully free and open source migration tools available that allow versioning database routines with a standard CVS system as if they were normal application code.

Also, the existing tools are too complex and require too much knowledge to initiate a small project.