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Export from GCP to PostgreSQL

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 PostgreSQL. It takes only minutes to get started.

GCP
gcp
Official
Open-core

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.

Publisher

cloudquery

Repositorygithub.com
Latest version

v12.3.1

Type

Source

Platforms
Date Published

Mar 26, 2024

postgresql
Official

PostgreSQL

This destination plugin lets you sync data from a CloudQuery source to a PostgreSQL compatible database.

Publisher

cloudquery

Repositorygithub.com
Latest version

v8.0.0

Type

Destination

Platforms
Date Published

Mar 26, 2024

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 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: "v12.3.1"
  tables: ["gcp_storage_buckets"]
  destinations: ["postgresql"]
  spec:
    # GCP Spec
    project_ids: ["my-project"]

Step 4. Configure PostgreSQL destination plugin

You can find more information about the configuration in the plugin documentation

kind: destination
spec:
  name: "postgresql"
  path: "cloudquery/postgresql"
  registry: "cloudquery"
  version: "v8.0.0"

  spec:
    connection_string: "${POSTGRESQL_CONNECTION_STRING}" # set the environment variable in a format like postgres://postgres:pass@localhost:5432/postgres?sslmode=disable
    # you can also specify it in DSN format, which can hold special characters in the password field:
    # connection_string: "user=postgres password=pass+0-[word host=localhost port=5432 dbname=postgres"
    # Optional parameters:
    # pgx_log_level: error
    # batch_size: 10000 # 10K entries
    # batch_size_bytes: 100000000 # 100 MB
    # batch_timeout: 60s

Step 5. Run Sync

cloudquery sync gcp.yml postgresql.yml
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