Export from Scaleway to File

CloudQuery is an open-source data integration platform that allows you to export data from any source to any destination.

The CloudQuery Scaleway plugin allows you to sync data from Scaleway to any destination, including File. It's free, open source, requires no account, and takes only minutes to get started.

Ready? Let's dive right in!

Step 1. Install the CloudQuery CLI

The CloudQuery CLI is a command-line tool that runs the sync. It supports MacOS, Linux and Windows.

brew install cloudquery/tap/cloudquery

Step 2. Configure the Scaleway source plugin

Create a configuration file for the Scaleway plugin and set up authentication.

Scaleway is a partner plugin, which means that it is maintained by the Scaleway team. Create a file called scaleway.yaml, then copy the example and follow the instructions in the Scaleway Plugin Documentation ↗ to fit your needs.

Step 3. Configure the File destination plugin

Create a configuration file for the File plugin and set up authentication.

Configuration

Create a file called file.yaml and add the following contents:

This example configures the file destination, to create CSV files in ./cq_csv_output. You can also choose json or parquet as the output format. Note that the file plugin only supports append write-mode.

The (top level) spec section is described in the Destination Spec Reference.

kind: destination
spec:
  name: "file"
  path: "cloudquery/file"
  version: "v3.2.0"
  write_mode: "append" # file only supports 'append' mode

  spec:
    path: "path/to/files/{{TABLE}}/{{UUID}}.{{FORMAT}}"
    format: "csv" # supported values are 'csv', 'json' and 'parquet'

Fine-tune this configuration to match your needs. For more information, see the File Plugin ↗ page in the docs.

Step 4. Start the Sync

Run the following command in your terminal to start the sync

cloudquery sync scaleway.yaml file.yaml

And away we go! 🚀 The sync will run until completion, fetching all selected tables from Scaleway. Any errors will be logged to a file called cloudquery.log.