How to Check if BigQuery Is Cloud Hosted in PostgreSQL

Is BigQuery cloud hosted?

BigQuery is a fully managed, cloud-hosted data warehouse; you access it from PostgreSQL through foreign data wrappers or federated queries.

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Description

Example H2

Example H3

Is BigQuery cloud-hosted?

Yes. Google BigQuery is a fully managed, serverless data warehouse that runs only in Google Cloud.There is no on-premises installation option.

Why would I verify BigQuery's hosting model?

Knowing BigQuery is cloud-hosted clarifies networking, security, and latency considerations when integrating it with on-prem or cloud-hosted PostgreSQL instances.

How can PostgreSQL query cloud-hosted BigQuery?

Use one of two approaches:

Cloud SQL Federation – Google-managed PostgreSQL instance queries BigQuery directly.
postgres_fdw via Cloud SQL Proxy – Self-managed PostgreSQL connects through the proxy to a federated Cloud SQL PostgreSQL instance.

Approach 1: Cloud SQL Federation

1. Create a Cloud SQL for PostgreSQL instance.
2.Enable the cloudsql.federatedqueries extension.
3. Grant BigQuery service account access.
4. Query BigQuery tables as external schemas.

Approach 2: postgres_fdw + Cloud SQL Proxy

1. Deploy the Cloud SQL Proxy next to your PostgreSQL server.
2. Connect to the federated Cloud SQL instance.
3.Use postgres_fdw to import BigQuery tables.

What permissions are required?

Assign the BigQuery Data Viewer role to the Cloud SQL service account and the Cloud SQL Client role to the proxy's service account.

Best practices for production

• Restrict service account scopes.
• Place the proxy and PostgreSQL in the same VPC for low latency.
• Cache frequently queried BigQuery data in local tables when SLA demands millisecond responses.

Common mistakes to avoid

• Forgetting to enable the federation extension.
• Ignoring BigQuery column type differences (e.g., NUMERIC vs numeric).

Why How to Check if BigQuery Is Cloud Hosted in PostgreSQL is important

How to Check if BigQuery Is Cloud Hosted in PostgreSQL Example Usage


-- Join cloud-hosted BigQuery data with local PostgreSQL data
SELECT c.name,
       o.order_date,
       o.total_amount
FROM   Customers AS c
JOIN   Orders   AS o  ON o.customer_id = c.id
WHERE  o.order_date >= CURRENT_DATE - INTERVAL '30 days'
ORDER  BY o.order_date DESC;

How to Check if BigQuery Is Cloud Hosted in PostgreSQL Syntax


-- Enable federation on Cloud SQL for PostgreSQL
CREATE EXTENSION IF NOT EXISTS cloudsql_federated_queries;

-- Create BigQuery connection
CREATE SERVER bq_srv
  FOREIGN DATA WRAPPER cloudsql_fdw
  OPTIONS (
    project_id    'my-gcp-project',
    location      'US',
    dataset       'ecommerce'
  );

-- Map BigQuery credentials
CREATE USER MAPPING FOR CURRENT_USER
  SERVER bq_srv
  OPTIONS (
    service_account_email 'svc-bq@my-gcp-project.iam.gserviceaccount.com',
    private_key           '-----BEGIN PRIVATE KEY-----\nMII...'
  );

-- Import a BigQuery table as PostgreSQL foreign table
IMPORT FOREIGN SCHEMA ecommerce
  LIMIT TO (Orders)
  FROM SERVER bq_srv
  INTO public;

Common Mistakes

Overlooking network egress: Pulling large BigQuery datasets into an on-prem PostgreSQL without a Cloud Interconnect incurs high egress fees. Fix by colocating PostgreSQL in Google Cloud or aggregating data in BigQuery before transfer.
Assuming identical data types: BigQuery’s NUMERIC supports 38-digit precision, while PostgreSQL’s numeric defaults to unlimited precision. Cast explicitly to avoid rounding errors.