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A simple database collaboration tool for teams

License: Apache License 2.0

Makefile 3.03% Python 96.97%
database collaboration db-migration teamwork oracle

datagit's Introduction

Database collaboration tool

This library is aimed to provide better collaboration amongst the team.

Installation

Requirements

The library is programmed in python. It uses virtualenv and pip.

(Please use GitBash on windows and standard Terminal on Mac or Linux)

  • Python version 3.6

    • UNIX/LINUX
      • Install it using Homebrew. Use brew install python3.
      • Make sure python3 --version prints version greater than 3.3
    • Windows
      • Install it using the official python installer. Click here to download installer.
      • After the ionstallation has been done. Rerun the installer. Select Add Componenets and then check pip, and create environment variables and run the installer again.
      • Make sure python --version prints a version greater than 3.3
  • pip

    • Comes with Python installer on windows.
    • Use sudo easy_install pip to install it on mac
  • virtualenv

    • Use pip install virtualenv to install it through terminal or Git Bash
  • make

    • Unix/Linux Comes preinstalled.
    • Windows
      • Download the zip file from this link.
      • Extract the contents of the zip.
      • Copy the contents to C:\Git\ming64\. Merging the folders. DO NOT overwrite/replace anything.
      • Restart Git Bash.
  • Oracle Instant client

    • The library supports only Oracle datbase as of now.
    • You need to download the instant client drivers and place them the directory, as the name of your OS.
    • if you have oracle instant client installed, you can skip the process. Just make sure all the path variables are correctly assigned.

How does the tool work?

There are three different folders named mac andwindows. Because Oracle needs specific drivers for each operating system, they has to be in different folders. These folder therefore, contains the respective drivers and the run.py script, to run the sql scripts.

Another folder named db should contain two child folders, init and additions. If this is not present in your da-database directory, please create them, otherwise the script will throw an error, after not finding those folders.

So your final directory structure should look like this:

da-database
│   README.md
│   Makefile
│   requirements.txt
│   connection.ini
│   .gitignore
│───db
│   │───init
│   └───additions
│───mac
└───windows

Install python tool

Next step is to install the tool. In order to do this, run make install (on mac/linux)/ make wininstall (on windows). This will install the python project dependencies in the folder. The new folder structure should look like this:

da-database
│   README.md
│   Makefile
│   requirements.txt
│   connection.ini
│   .gitignore
│───db
│   │───init
│   └───additions
│───mac
│───windows
└───venv

Finally run the following command in terminal/GitBash:

git update-index --assume-unchanged connection.ini

This is to make sure that the main connection string file stays in your local repo, even when you change the credentials. (Because this file should be unique to each user)

Run the tool

When the make install/make wininstall command is run successfully, you should be able to run make run/make winrun command through terminal/GitBash.

  • The program first looks for connection string. This should be provided in connection.ini file. An example connection string is provided below:

      [Database]
      url = localhost
      port = 1521
      username = user
      password = password
      service = xe
    
  • Next the program will look for SQL files in folder db/init/. The files will be arranged in the increasing order and executed. You can place all the SQL scripts in this folder which you want to run before any other scripts in the additions folder.

  • Finally the program will look for SQL files in folder db/additions/. The files will be arranged in a similar fashion as init folder.

  • The scripts saves the files it last ran in the DATA_MIGRATION Table in your database DO NOT DELETE THIS TABLE. So next time when a new script is added, it will only run the new files and not the previous files.

Placing SQL files in the repository

In order to collaborate the database changes with other team members effectively, please follow the following set of conditions while creating and placing new files in the repo:

  • init folder should only contain initialization scripts. All SQL files that contain addtions (or removals, alters etc) should be placed in additions folder.

  • Use only sql files. .dmp files are not yet supported.

  • Do not use the username as prefix in queries eg. ALTER TABLE "APPUSER.ACCOUNT" .... You will provide the name of the database user when connecting to the database, therefore you DO NOT NEED to add this username in the query. This is to avoid exceptions when other team members have a different username for the database

  • SQL statements in each file should be separated using a semincolon :. / is not supported as it causes problems with string splitting between the sql statements and actual database entry strings.

  • Use proper naming convention for the files:

    • In order for your SQL scripts to work properly, the files should be named as follows:
      • YYYYMMDDHHMMSS.sql. This uses the year, month, day and time (24H format) the file was created. The last "seconds" part (SS) is for your convenience. Use it to provide the scripts in the order you want them to run.
      • eg. Three SQL files created on 27th March, 2018, at 01:35 PM should be named like: 20180327133501.sql, 20180327133502.sql, 20180327133503.sql.
      • eg. Just one file created on 27th March, 2018, at 01:35 PM should be named like: 20180327133500.sql
  • Once you commit and push qn SQL file. Do not make any changes in that file. It is possible that others may have already used that file on their system and any changes you make will not be executed on their system.

That's it. The tool should run without problems. Support for postgreSQL will be added soon.

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