How to load data from Kafka to TiDB

Learn how to use Airbyte to synchronize your Kafka data into TiDB within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Kafka connector in Airbyte

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

Set up TiDB for your extracted Kafka 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 Kafka to TiDB 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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Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

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How to Sync to Manually

Step 1: Set Up the Environment

Ensure that both Kafka and TiDB are running and accessible. Install the necessary client libraries for both Kafka and TiDB. For Kafka, you need Kafka�s client libraries compatible with version 0.9, and for TiDB, use a MySQL client library since TiDB is MySQL-compatible.

Identify the Kafka topics you want to move data from and understand the data schema. Create the equivalent tables in TiDB to store this data. Ensure that the data types in TiDB are compatible with those from Kafka.

Develop a custom Kafka consumer script using a language like Python, Java, or another language with Kafka client support. This script will consume messages from the specified Kafka topics. Ensure it handles potential issues like message offsets and retries.

As you consume messages, transform them into a format compatible with TiDB. This might involve converting JSON data to SQL insert statements or handling data type transformations to match the TiDB schema.

Using the MySQL client library, write code to execute SQL insert statements on TiDB. Ensure that your script handles batch inserts for efficiency and includes error handling for any insert failures.

Maintain a record of the last processed message offset to ensure data consistency and enable resumption in case of a failure. You can store this offset in a file or a dedicated table in TiDB.

Thoroughly test the data transfer process with different data volumes and edge cases. Monitor the performance and resource usage to ensure the process is efficient and does not overload either Kafka or TiDB. Implement logging to capture detailed information about the process execution for troubleshooting and auditing.

By following these steps, you can custom-build a solution to transfer data from Kafka 0.9 to TiDB without relying on third-party connectors.