How to load data from MySQL to Convex

Learn how to use Airbyte to synchronize your MySQL data into Convex within minutes.

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Set up a MySQL connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Convex for your extracted MySQL data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the MySQL to Convex in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.
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How to Sync to Manually

Step 1: Set Up Your MySQL Environment

Begin by ensuring your MySQL environment is correctly set up. This involves installing the MySQL server if it's not already installed and verifying that you have access to the database you intend to export. You may need the database name, user credentials, and host information.

Use the `mysqldump` command-line utility to export the data from your MySQL database into a file. This utility generates a SQL dump file containing the SQL statements needed to recreate the database. For example:
```bash
mysqldump -u username -p database_name > data_dump.sql
```
Replace `username` and `database_name` with your MySQL username and the specific database you want to export. You will be prompted to enter your password.

Since Convex generally works with JSON-like data structures, you'll need to convert the SQL dump file into JSON. You can write a custom script in a language like Python to parse the SQL dump and output JSON data. This script must interpret the SQL insert statements and structure them as JSON objects.

Set up your Convex environment. If you haven't already, sign up for Convex and set up a new project. Familiarize yourself with the Convex CLI and ensure your local environment can interact with Convex by installing the necessary tools and SDKs.

Write a script that reads the JSON data generated in step 3 and uses the Convex client SDK to import this data into Convex storage. This involves creating documents or collections in Convex that reflect the structure of your original MySQL tables.

After importing, verify that the data in Convex matches what was in MySQL. You can do this by querying the Convex storage and comparing the results with the original MySQL data. This step ensures no data loss or corruption occurred during the transformation and import process.

If you plan to regularly move data from MySQL to Convex, consider automating the export, conversion, and import process. Use shell scripts or a task runner to call the necessary commands and script functions, allowing for easy execution in the future.

This guide provides a straightforward approach to manually moving data from MySQL to Convex, focusing on using available tools and custom scripting without relying on third-party connectors.