Log in to Snowflake

Use the Snowflake web interface or a Snowflake-supported client (like SnowSQL) to log in to your account.

Select the Data to Export

Identify the data you want to move to MySQL. This could be a table, a view, or a custom query result.

Export the Data to a File

Use the COPY INTO <location> command to export the data to a file format that MySQL can import, such as CSV.

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COPY INTO '@~/my_data_export/my_table.csv'

FROM my_table

FILE_FORMAT = (TYPE = CSV HEADER = TRUE);

‍

Make sure to include headers and any other necessary options for your data.

Download the Exported File

• If you’re using the Snowflake web interface, navigate to the file location and download the file to your local machine.
• If using SnowSQL or another client, you might need to use the GET command to download the file.

GET @~/my_data_export/my_table.csv file:///local/path/;

Access MySQL Server

Connect to your MySQL server using the command line, a tool like MySQL Workbench, or any other MySQL client.

Create a Database (if necessary)

If you don’t already have a database to import into, create one.

CREATE DATABASE my_database;

USE my_database;

Create the Table Structure

Define the table structure in MySQL to match the data you’re importing from Snowflake. Make sure data types are compatible.

CREATE TABLE my_table (

    column1 INT,

    column2 VARCHAR(255),

    ...

);

Adjust MySQL Settings (if necessary)

Depending on the size of your data, you might need to adjust some MySQL settings, such as max_allowed_packet and wait_timeout.

Prepare the Data File

Ensure that the CSV file is accessible to the MySQL server. If necessary, transfer it to the server using secure copy (scp) or a similar method.

Disable Constraints (Optional)

Temporarily disable foreign key checks and unique constraints to avoid issues during import.

SET FOREIGN_KEY_CHECKS=0;

Import the Data

Use the LOAD DATA INFILE command to import the CSV file into the MySQL table.

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LOAD DATA INFILE '/path/to/my_table.csv'

INTO TABLE my_table

FIELDS TERMINATED BY ','

OPTIONALLY ENCLOSED BY '"'

LINES TERMINATED BY '\n'

IGNORE 1 LINES;  -- If the file includes a header

‍

Adjust the field terminators and line terminators according to your CSV format.

Re-enable Constraints (Optional)

Once the import is successful, re-enable any constraints you disabled.

SET FOREIGN_KEY_CHECKS=1;

Verify the Data

Run some queries to ensure that the data has been imported correctly and is consistent with what was in Snowflake.

Remove the Exported File

After verifying the import, you can remove the CSV file from both the Snowflake stage and your local machine or server if it’s no longer needed.

Check for Errors

Review the MySQL import logs for any errors or warnings that may need attention.

Optimize the Table (if necessary)

Depending on how MySQL is configured, you might want to run an OPTIMIZE TABLE command to rebuild the table and optimize it for performance.

Notes:

• Always ensure that your MySQL instance has enough storage and resources to handle the imported data.
• Be mindful of data types and encoding to avoid issues during the import process.
• Consider the security implications of transferring data and ensure that all data transfers are conducted securely.
• Test the process with a small subset of data before attempting a full migration to ensure that everything works as expected.
• Make sure you have backups of your data in both Snowflake and MySQL before starting the migration process.

By following these steps, you should be able to move data from Snowflake to MySQL without using third-party connectors or integrations. Remember to tailor the process to your specific data and environment, as some steps may require additional adjustments.