CIO4Good Database

US East (N. Virginia) us-east-1

Project Layout

Key File	Description
cleaning.py	Contains code to create the accumulative file for input into the database. This will need to be run after each year.
cumulative.sql	Contains the sql code to create the database.
run_mysql_script.py	Contains code to create the accumulative file for input into the database. This will need to be run after each year.

Setup

Project

In root directory:

pip install virtualenv #if you don't have virtualenv installed 

Create virtualenv

virtualenv <Name_of_Virtual_Environment>

Activate virtualenv

source <Name_of_Virtual_Environment>/bin/activate

Install project requirements usings the requirements.text

pip install -r requirements.txt

Mysql

Use (MySQL Workbench)[https://www.mysql.com/products/workbench/] to configure a database quickly for the upcoming steps. After configuring mysql, open mysql workbench and do the following:

1. Create a connection. Make sure to remember all the information you enter in here! This is the information you'll be entering in the config/my.yaml file.
2. Enter the information you used to create a connection into a *.yaml file in the config folder. The rest of this setup assumes you've used root as your username (which isn't a good practice). Be warned
3. (Optional) Create a database/schema named cio4good INSIDE the connection you just created

Steps to create MySQL Database

1. Run the cleaning.py file.

python cleaning.py

2. Run run_mysql_script.py as follows, tailoring the *.yaml and *.sql file paths as necessary:

macOS

python3 run_mysql_script.py -c ./path/to/config/file/*.yaml -p ./path/to/sql/script/*.sql

Windows

python run_mysql_script.py -c ./path/to/config/file/*.yaml -p ./path/to/sql/script/*.sql

so

python run_mysql_script.py -c ./config/my.yaml -p ./cumulative.sql

3. In your terminal run mysqldump to create a .sql file

sudo mysqldump cio4good cio4good -p > mySQLdump.sql

This way works if your username/user is root.

Steps to push to AWS

Now we have to push our MySQL database to AWS. Here's the reference material for this section

1. Run the aws connection string with to input the new database.

mysql -h <awsendpoint> -P 3306 -u <mymasteruser> -p

2. Double check some queries to make sure that the import was successful and all fields mapped.

Example:

• mysql -h <HOSTNAME> -P <PORT> -u <MASTER_USER> -p <DATABASE> < <PATH/TO/DUMP.SQL>

Notes

run_mysql_script.py

This python script is designed to process MySQL scripts. The run_mysql_script.py script requires a valid database connection provided via local *.yaml config file. After opening a connection and creating a cursor, the script creates a list of SQL statements after splitting the SQL script on each semi-colon encountered (;). The script then loops through the statements, attempting to execute each. If successful, the script commits the changes, closes the cursor and then closes the connection. Otherwise, it rolls back the transaction and reports the error encountered.

Create a .yaml configuration file

Create a .yaml configuration file. The run_mysql_script.py script reads this file in order to retrieve the database connection settings. Add the following database connection settings to your .yaml file. Make sure you set the user and passwd variables to the correct values.

mysql: host: localhost port: [yer port number, typically 3306] user: [yer MySQL user] passwd: [yer MySQL user password] db: unesco_heritage_sites local_infile: True

Script arguments

The run_mysql_script.py features the following arguments:

-h, --help (show this help message and exit) -c, --config (path to config file) -p, --path (path to script)

cleaning.py

Make sure to validate the data after running the cleaning.py file to create the agrgregate CSV file for input into the database. There is a known issue with the # of Organization Staff field putting data from 2001 in a different column of it's own toward the beginning and the rest in a duplicate column in subsequent years. Just move them over into the later column.