Introduction to BigQuery
BigQuery is a fully-managed, serverless data warehouse that enables high-performance, scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using SQL.
Getting started
BigQuery setup and usage is atypical compared to other relational database backends Hasura currently supports, such as Postgres & SQL Server. You may find these guides useful to familiarise yourself with BigQuery before contributing a PR.
Google Cloud projects form the basis for creating, enabling, and using all Google Cloud services, including BigQuery datasets.
- Creating and managing projects
- Working with the resource hierarchy
- Identity Access Management policy
gcloud, a set of command line tools to create and manage Google Cloud resources- Google Cloud Console: Resource Manager
Once you have a project set up, you can work with datasets via the:
- Google Cloud Console
- REST API
bq, a command line tool to run queries and load data into BigQuery
Getting started with BigQuery on Hasura
See the hasura.io: BigQuery getting started guide for general information about connecting to a BigQuery data source.
Integration tests are run against short-lived projects. The following prerequisites are expected:
- A Google Cloud Console service account
HASURA_BIGQUERY_PROJECT_IDenvironment variableHASURA_BIGQUERY_SERVICE_KEYenvironment variable
See these docs for more guidance on testing against a BigQuery data source.