Often, we get the request to load enterprise volume data from MySQL RDBMS into Pigment. While Pigment doesn’t have a dedicated MySQL connector or ODBC capability, this can easily be achieved via Pigment’s import API. Below is example code that connects to MySQL, executes a SQL statement, and imports the data into Pigment.

1. Generate Pigment Import API key

https://community.pigment.com/security-permissions-82/manage-api-keys-226

2. For Imports into Pigment (to understand the process)

https://community.pigment.com/importing-and-exporting-data-95/how-to-trigger-an-import-with-apis-230

3. Load Data from MySQL RDBMS into Pigment via Pigment’s Import API using Python:

import mysql.connector
import getpass
import requests
from io import StringIO
import sys
import logging

# Configure logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')

# MySQL Connection & SQL query
username = 'MYSQL_USERNAME'
server = 'MYSQL_SERVER'
database = 'MYSQL_DATABASE'
password = getpass.getpass(f'Enter password for {username}@{server}: ')
fetch_size = 100000  # Fixed fetch size, 100k rows can be increased providing the size of the fetch does not exceed the 500MB POST limit

# Note the date/time conversion performed in MySQL rather than Python
sql = """
SELECT channel_id, cust_id, prod_id, promo_id, DATE_FORMAT(time_id, '%Y-%m-%d') AS time_id, unit_cost, unit_price, amount_sold, quantity_sold, total_cost
FROM mysqltable
"""

# Pigment API import details
API_IMPORT_KEY = 'YOUR_PIGMENT_IMPORT_API_KEY'
API_IMPORT_URL = 'https://pigment.app/api/import/push/csv?configurationId='
PIGMENT_IMPORT_CONFIG = 'YOUR_IMPORT_ID'
CSV_SEPARATOR = ','
headers = {
    'Authorization': f'Bearer {API_IMPORT_KEY}'
}

# Execute SQL and push into Pigment
rowcount = 0
logging.info('Executing the following SQL statement...')
logging.info(sql)
logging.info(f'Now trying the import into Pigment Import {PIGMENT_IMPORT_CONFIG}...')

try:
    conn = mysql.connector.connect(
        host=server,
        user=username,
        password=password,
        database=database
    )
    cursor = conn.cursor()
    cursor.execute(sql)
    while True:
        rows = cursor.fetchmany(fetch_size)
        if not rows:
            break
        buffer = StringIO()
        sys.stdout = buffer
        for row in rows:
            print(CSV_SEPARATOR.join(map(str, row)))
        rowcount += len(rows)
        sys.stdout = sys.__stdout__
        data_size = len(buffer.getvalue().encode('utf-8'))
        s = requests.post(API_IMPORT_URL + PIGMENT_IMPORT_CONFIG, headers=headers, data=buffer.getvalue())
        logging.info(f'{data_size} bytes in block')
        logging.info(f'{rowcount} rows loaded')
    logging.info('Data load complete')
except mysql.connector.Error as db_err:
    logging.error(f'Database error occurred: {db_err}')
except requests.exceptions.HTTPError as http_err:
    logging.error(f'HTTP error occurred: {http_err}')
except Exception as err:
    logging.error(f'An error occurred: {err}')
finally:
    cursor.close()
    conn.close()

Explanation:

• Import Libraries:

  • mysql.connector: For connecting to the MySQL database.

  • getpass: For securely getting the password input.

  • requests: For making HTTP requests to the Pigment API.

  • StringIO: For handling in-memory string buffers.

  • sys: For system-specific parameters and functions.

  • logging: For logging information and errors.

• MySQL Connection & SQL Query:

  • Prompts the user for the MySQL database password.

  • Defines the SQL query to fetch data from the MySQL database.

  • Sets a fixed fetch size of 100,000 rows.

• Pigment API Import Details:

  • Sets up the Pigment API import details, including the API key, URL, and headers.

• Execute SQL and Push into Pigment:

  • Connects to the MySQL database and executes the SQL query.

  • Fetches data in chunks and writes it to an in-memory buffer.

  • Sends the data to the Pigment API in chunks.

  • Logs the number of bytes and rows loaded.

This code will help you load data from MySQL RDBMS directly into Pigment using Pigment's Import API.