Back to source plugin

Export from GCP to Kafka

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 Kafka. 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

v11.6.2

Type

Source

Platforms
Date Published

Feb 21, 2024

Price per 1M rows

$10 (premium tables)

free quota

100M rows

Kafka
kafka
Official

Kafka

This plugin is in preview.

This destination plugin lets you sync data from a CloudQuery source to Kafka in various formats such as CSV, JSON. Each table will be pushed to a separate topic

Publisher

cloudquery

Repositorygithub.com
Latest version

v3.3.1

Type

Destination

Platforms
Date Published

Feb 20, 2024

Price

Free

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: "v11.6.2"
  tables: ["gcp_storage_buckets"]
  destinations: ["kafka"]
  spec:
    # GCP Spec
    project_ids: ["my-project"]

Step 4. Configure Kafka destination plugin

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

kind: destination
spec:
  name: "kafka"
  path: "cloudquery/kafka"
  registry: "cloudquery"
  version: "v3.3.1"
  write_mode: "append"
  spec:
    brokers: ["<broker-host>:<broker-port>"]
    format: "csv" # options: parquet, json, csv
    format_spec:
      # CSV-specific parameters:
      # delimiter: ","
      # skip_header: false

    # Optional parameters
    # compression: "" # options: gzip
    # sasl_username: ""
    # sasl_password: ""
    # client_id: cq-destination-kafka
    # verbose: false
    # batch_size: 1000

Step 5. Run Sync

cloudquery sync gcp.yml kafka.yml
Subscribe to product updates

Be the first to know about new features.