How to load data from SFTP Bulk to MongoDB
Learn how to use Airbyte to synchronize your SFTP Bulk data into MongoDB within minutes.


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How to Sync to Manually
Begin by setting up a secure connection to the SFTP server from your local machine or server. Use an SSH client or command-line tool like `sftp` or `ssh` to log in. Ensure you have the necessary credentials (username and password or SSH keys) and that your IP is whitelisted if required. Execute a test login to verify access.
Identify the directory on the SFTP server where the bulk data files are stored. Use SFTP commands to navigate to this directory and download the files to your local system. You can use the `get` command to download files individually or `mget` for multiple files. Ensure you download all necessary files required for your data migration.
Once the data files are downloaded, parse them locally. Identify the file format (e.g., CSV, JSON, XML) and use appropriate tools or scripts (such as Python scripts with libraries like `pandas` for CSVs or `json` for JSON files) to read the data. Transform the data as needed to match the structure required by MongoDB. This could involve data cleaning, restructuring, or reformatting.
Ensure MongoDB is installed on your destination server or local machine. Install MongoDB tools such as `mongoimport`, which are necessary for importing data into MongoDB. These tools are typically included in the MongoDB database package, but you can also download them separately from the MongoDB website.
Access your MongoDB instance using the MongoDB shell or GUI tools like MongoDB Compass. Create a database and the necessary collections where the data will be stored. Plan the schema and indexes if needed, based on the data structure you prepared in the previous step. Ensure the MongoDB instance is configured properly for connections.
Use the `mongoimport` tool to load the transformed data files into MongoDB. This command-line tool allows you to import files directly into your MongoDB collections. Specify the database, collection, and file to import. For instance, use a command like `mongoimport --db yourdb --collection yourcollection --file yourfile.json --jsonArray` for JSON files. Adjust the parameters according to your file format and data structure.
Once the data import is complete, verify the integrity of the data within MongoDB. Use queries to check the count of documents and sample data entries to ensure the data matches the source files. Perform any necessary data validation checks to confirm that the import process was successful and that the data is ready for use. Address any discrepancies by checking logs and re-importing data if necessary.