Redshift data loading script

This Python script reads configuration values from a config.ini file and uses those values to load data from an S3 bucket into a Redshift table. The script uses the following libraries:

• configparser for reading the configuration file
• boto3 for interacting with AWS services
• psycopg2 for connecting to and interacting with a Redshift database
• logging for logging status messages to a file

Configuration

The script reads the following values from the config.ini file:

• AWS access key ID and secret access key for authentication
• Redshift database endpoint, username, password, port, and database name
• S3 bucket name and file path for the input data file
• AWS Glue catalog database name and table name for the input data schema

Data loading process

The script performs the following steps:

1. Reads configuration values from config.ini
2. Creates a connection to Redshift and AWS Glue using the configuration values
3. Retrieves schema information for the input data from the AWS Glue catalog
4. Creates a Redshift table with the same schema as the input data
5. Loads the input data from S3 into the Redshift table using the COPY command
6. Logs the success or failure of the data loading process

Usage

1. Create a config.ini file with the required configuration values
2. Run the redshift_load.py script

Note: Before running the script, make sure that the Redshift cluster and S3 bucket are properly configured and accessible.