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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
v5.4.9
Official
DigitalOcean
The CloudQuery DigitalOcean plugin pulls configuration from DigitalOcean and loads it into any supported CloudQuery destination
BigQuery
v3.5.4
Official
BigQuery
The BigQuery plugin syncs data from any CloudQuery source plugin(s) to a BigQuery database running on Google Cloud Platform
Table of Contents
MacOS Setup
Step 1. Install CloudQuery
brew install cloudquery/tap/cloudquery
Step 2. 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: "v5.4.9"
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 3. 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: "v3.5.4"
write_mode: "append"
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 4. Run Sync
cloudquery sync digitalocean.yml bigquery.yml