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Export from DigitalOcean to BigQuery

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

The CloudQuery DigitalOcean plugin allows you to sync data from DigitalOcean to any destination, including BigQuery. It takes only minutes to get started.

digitalocean
Official
Premium

DigitalOcean

The CloudQuery DigitalOcean plugin pulls configuration from DigitalOcean and loads it into any supported CloudQuery destination

Publisher

cloudquery

Latest version

v6.2.0

Type

Source

Platforms
Date Published

BigQuery
bigquery
Official

BigQuery

The BigQuery plugin syncs data from any CloudQuery source plugin(s) to a BigQuery database running on Google Cloud Platform

Publisher

cloudquery

Repositorygithub.com
Latest version

v4.0.1

Type

Destination

Platforms
Date Published

MacOS Setup

Step 1. Install CloudQuery

brew install cloudquery/tap/cloudquery

Step 2. Log in to CloudQuery CLI

cloudquery login

Step 3. Configure DigitalOcean source plugin

You can find more information about the configuration in the plugin documentation

kind: source
spec:
  # Source spec section
  name: digitalocean
  path: cloudquery/digitalocean
  registry: cloudquery
  version: "v6.2.0"
  tables: ["*"]
  destinations: ["bigquery"]
  spec:
    # required, unless env variable DIGITALOCEAN_TOKEN or DIGITALOCEAN_ACCESS_TOKEN is set
    token: "${DIGITALOCEAN_ACCESS_TOKEN}"
    # Optional parameters
    # spaces_regions: ["nyc3", "sfo3", "ams3", "sgp1", "fra1", "syd1"]
    # spaces_access_key: ""
    # spaces_access_key_id: ""
    # spaces_debug_logging: false
    # concurrency: 10000

Step 4. Configure BigQuery destination plugin

You can find more information about the configuration in the plugin documentation

kind: destination
spec:
  name: bigquery
  path: cloudquery/bigquery
  registry: cloudquery
  version: "v4.0.1"
  write_mode: "append"
  # Learn more about the configuration options at https://cql.ink/bigquery_destination
  spec:
    project_id: ${PROJECT_ID}
    dataset_id: ${DATASET_ID}
    # Optional parameters
    # dataset_location: ""
    # time_partitioning: none # options: "none", "hour", "day"
    # service_account_key_json: ""
    # endpoint: ""
    # batch_size: 10000
    # batch_size_bytes: 5242880 # 5 MiB
    # batch_timeout: 10s

Step 5. Run Sync

cloudquery sync digitalocean.yml bigquery.yml
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