Export from GitLab to BigQuery
CloudQuery is an open-source data integration platform that allows you to export data from any source to any destination.
The CloudQuery GitLab plugin allows you to sync data from GitLab to any destination, including BigQuery. It takes only minutes to get started.
GitLab
The CloudQuery GitLab plugin pulls configuration out of GitLab resources and loads it into any supported CloudQuery destination
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. Log in to CloudQuery CLI
Logging in is required to use premium plugins and premium tables in open-core plugins.
cloudquery login
Step 3. Configure GitLab source plugin
You can find more information about the configuration in the plugin documentation
kind: source
# Common source-plugin configuration
spec:
name: gitlab
path: cloudquery/gitlab
registry: cloudquery
version: "v5.0.0"
tables: ["gitlab_users"]
destinations: ["bigquery"]
# Gitlab specific configuration
spec:
# required
access_token: "${GITLAB_ACCESS_TOKEN}"
# optional, leave empty for GitLab SaaS
# base_url: "<INSTANCE_URL>"
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: 10s
Step 5. Run Sync
cloudquery sync gitlab.yml bigquery.yml