1.1 Login to Salesforce
Go to Salesforce and log in with your credentials.

1.2 Access Data Export Service

• Navigate to Setup by clicking on the gear icon in the top right corner.
• In the Quick Find box, type “Data Export” and select the Data Export option.

1.3 Schedule or Run Export
Click on Export Now or Schedule Export. For immediate data extraction, choose Export Now

.1.4 Select Data to Export
Choose the objects and fields you want to export. You can export standard objects like Accounts, Contacts, Leads, Opportunities, etc., and any custom objects you may have.

1.5 Export Data
Salesforce will prepare a series of CSV files. Once the export is ready, you will receive an email with a link to download the files.

1.6 Download the CSV Files
Download the CSV files to your local system.

2.1 Review and Clean Data

• Open the CSV files and review the data for any inconsistencies or errors.
• Clean the data if necessary, which may include removing duplicates, fixing formatting issues, or filling in missing values.

2.2 Format the Data

• Ensure that the data types in the CSV files match the data types in MySQL (e.g., dates, numbers, strings).
• You may need to convert date formats, encode special characters, or adjust numeric values.

3.1 Install MySQL
If not already installed, download and install MySQL on your server or local machine.

3.2 Access MySQL
Open the MySQL command-line client or use a GUI tool like MySQL Workbench to access your MySQL database.

3.3 Create a Database
Create a new database for your Salesforce data:

CREATE DATABASE salesforce_data;

USE salesforce_data;

3.4 Create Tables
Create tables in MySQL that correspond to the Salesforce objects you’re importing. For example:

CREATE TABLE accounts (

    id INT PRIMARY KEY,

    name VARCHAR(255),

    industry VARCHAR(255),

    ... -- Add other fields as necessary

);

Make sure that the fields and data types align with the CSV data you intend to import.

4.1 Prepare Import Command
Use the LOAD DATA INFILE command to import the CSV files into MySQL. For example:

LOAD DATA INFILE '/path/to/your/accounts.csv'

INTO TABLE accounts

FIELDS TERMINATED BY ',' ENCLOSED BY '"'

LINES TERMINATED BY '\n'

IGNORE 1 LINES; -- Use IGNORE 1 LINES if your CSV has a header row

4.2 Execute Import Command
Run the LOAD DATA INFILE command for each CSV file to import the data into the corresponding MySQL tables.

4.3 Verify Data Import
After importing, verify that the data is correctly imported:

SELECT * FROM accounts LIMIT 10;

5.1 Check for Errors
Review the data in MySQL to ensure there are no import errors or data inconsistencies.

5.2 Create Indexes
To improve query performance, create indexes on frequently queried columns:

CREATE INDEX idx_account_name ON accounts (name);

5.3 Optimize Tables
Optimize the tables if necessary to improve performance:

OPTIMIZE TABLE accounts;

Tips:

• Backup Data: Always back up your MySQL database before importing large amounts of data.
• Security: Ensure that the data is securely transferred and stored, especially if it contains sensitive information.
• Limits: Be aware of any file size limits or timeouts in MySQL when importing large files.
• Character Encoding: Make sure to set the correct character encoding for the MySQL tables to avoid issues with special characters.
• Data Mapping: Ensure that the data from Salesforce maps correctly to the MySQL schema, including handling any relationships between objects.

By following these steps, you can move data from Salesforce to MySQL without the use of third-party connectors or integrations. Remember to test the process with a small dataset before moving large amounts of data.