Export from GCP to BigQuery
CloudQuery is an open-source data integration platform that allows you to export data from any source to any destination.
The CloudQuery GCP plugin allows you to sync data from GCP to any destination, including BigQuery. It takes only minutes to get started.
GCP
The GCP Source plugin for CloudQuery extracts configuration from a variety of GCP APIs and loads it into any supported CloudQuery destination. Some tables are marked as premium and have a price per 1M rows synced.
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/cloudqueryStep 2. Log in to CloudQuery CLI
Logging in is required to use premium plugins and premium tables in open-core plugins.
cloudquery loginStep 3. Configure GCP source plugin
You can find more information about the configuration in the plugin documentation
kind: source
spec:
# Source spec section
name: "gcp"
path: "cloudquery/gcp"
registry: "cloudquery"
version: "v12.5.0"
tables: ["gcp_storage_buckets"]
destinations: ["bigquery"]
spec:
# GCP Spec
project_ids: ["my-project"]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: "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: 10sStep 5. Run Sync
cloudquery sync gcp.yml bigquery.yml