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Export from Kubernetes to BigQuery
CloudQuery is an open-source data integration platform that allows you to export data from any source to any destination.
The CloudQuery Kubernetes plugin allows you to sync data from Kubernetes to any destination, including BigQuery. It takes only minutes to get started.
Kubernetes
v6.0.11
Official
Kubernetes
The K8s Source plugin for CloudQuery extracts configuration from a variety of K8s APIs
BigQuery
v3.5.3
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 Kubernetes source plugin
You can find more information about the configuration in the plugin documentation
kind: source
spec:
# Source spec section
name: k8s
path: cloudquery/k8s
registry: cloudquery
version: "v6.0.11"
tables: ["*"]
destinations: ["bigquery"]
spec:
contexts: ["context"]
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: "v3.5.3"
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 k8s.yml bigquery.yml