How to load data from SFTP to Kafka

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

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Set up a SFTP connector in Airbyte

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

Set up Kafka for your extracted SFTP 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 SFTP to Kafka 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 SFTP Client

Start by setting up an SFTP client on your server or local machine. You can use programming libraries such as `paramiko` in Python to connect to the SFTP server. This will allow you to authenticate and establish a connection to download the necessary files.

Use the SFTP client to list and download the files from the SFTP server. Ensure you handle exceptions and possible errors, such as network issues or authentication failures. You might want to implement a mechanism to track already downloaded files to avoid duplicates.

Install and configure a Kafka producer in the programming language of your choice. Kafka provides client libraries in multiple languages such as Java, Python, and Go. This producer will be responsible for sending your data to Kafka topics.

Once the files are downloaded from SFTP, read the data and prepare it for sending to Kafka. Depending on the file format (e.g., CSV, JSON, XML), you may need to parse and transform the data. Ensure the data structure matches the Kafka topic schema.

With the Kafka producer set up and data processed, send the data to the appropriate Kafka topic. Make sure you handle potential issues, such as retries on failure or message acknowledgment confirmations, to ensure data is reliably sent.

Implement logging to monitor the data transfer process from SFTP to Kafka. This will help in identifying any issues quickly and provide a record of successful data transfers. Logs should include details such as timestamps, file names, sizes, and any errors encountered.

Use a scheduling tool like cron (on UNIX-based systems) or Task Scheduler (on Windows) to automate the process at regular intervals. This ensures that new data from the SFTP server is consistently moved to Kafka without manual intervention, maintaining up-to-date data flow.
By following these steps, you will build a custom data pipeline from SFTP to Kafka without relying on third-party connectors or integrations.