Local CSV

This destination is meant to be used on a local workstation and won't work on Kubernetes


This destination writes data to a directory on the local filesystem on the host running Airbyte. By default, data is written to /tmp/airbyte_local. To change this location, modify the LOCAL_ROOT environment variable for Airbyte.

Sync Overview

Output schema

Each stream will be output into its own file. Each file will contain 3 columns:

  • _airbyte_ab_id: a uuid assigned by Airbyte to each event that is processed.

  • _airbyte_emitted_at: a timestamp representing when the event was pulled from the data source.

  • _airbyte_data: a json blob representing with the event data.





Full Refresh Sync



Incremental - Append Sync






Performance considerations

This integration will be constrained by the speed at which your filesystem accepts writes.

Getting Started

The destination_path will always start with /local whether it is specified by the user or not. Any directory nesting within local will be mapped onto the local mount.

By default, the LOCAL_ROOT env variable in the .env file is set /tmp/airbyte_local.

The local mount is mounted by Docker onto LOCAL_ROOT. This means the /local is substituted by /tmp/airbyte_local by default.


  • If destination_path is set to /local/cars/models

  • the local mount is using the /tmp/airbyte_local default

  • then all data will be written to /tmp/airbyte_local/cars/models directory.

Access Replicated Data Files

If your Airbyte instance is running on the same computer that you are navigating with, you can open your browser and enter file:///tmp/airbyte_local to look at the replicated data locally. If the first approach fails or if your Airbyte instance is running on a remote server, follow the following steps to access the replicated files:

  1. Access the scheduler container using docker exec -it airbyte-scheduler bash

  2. Navigate to the default local mount using cd /tmp/airbyte_local

  3. Navigate to the replicated file directory you specified when you created the destination, using cd /{destination_path}

  4. List files containing the replicated data using ls

  5. Execute cat {filename} to display the data in a particular file

You can also copy the output file to your host machine, the following command will copy the file to the current working directory you are using:

docker cp airbyte-scheduler:/tmp/airbyte_local/{destination_path}/{filename}.csv .

Note: If you are running Airbyte on Windows with Docker backed by WSL2, you have to use similar step as above or refer to this link for an alternative approach.