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Export from Cloudflare to BigQuery

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

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

cloudflare
Official
Premium

Cloudflare

The CloudQuery Cloudflare plugin pulls configuration out of Cloudflare resources and loads it into any supported CloudQuery destination

Publisher

cloudquery

Latest version

v9.2.0

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 Cloudflare source plugin

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

kind: source
# Common source-plugin configuration
spec:
  name: cloudflare
  path: cloudquery/cloudflare
  registry: cloudquery
  version: "v9.2.0"
  tables: ["*"]
  destinations: ["bigquery"]

  # Cloudflare specific configuration
  # Learn more about the configuration options at https://cql.ink/cloudflare_source
  spec:
    # required, if api_email and api_key are not set
    api_token: "${CLOUDFLARE_API_TOKEN}"
    # required, if api_token is not set
    # api_email: ""
    # required, if api_token is not set
    # api_key: ""
    # Optional parameters
    # accounts: []
    # zones: []

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 cloudflare.yml bigquery.yml
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