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Local CSV

{% hint style="danger" %} This destination is meant to be used on a local workstation and won't work on Kubernetes {% endhint %}

Overview

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.

Features

Feature Supported
Full Refresh Sync Yes
Incremental - Append Sync Yes
Incremental - Deduped History No As this connector does not support dbt, we don't support this sync mode on this destination.
Namespaces No

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.

Example:

  • 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.