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Export from Google Workspace to S3

CloudQuery is an open-source data integration platform that allows you to export data from any source to any destination.

The CloudQuery Google Workspace plugin allows you to sync data from Google Workspace to any destination, including S3. It takes only minutes to get started.

googleworkspace

Google Workspace

Pull directory information from your Google Workspace organization. Requires admin privileges.

Publisher

jsifuentes

Repositorygithub.com
Latest version

v1.1.0

Type

Source

Platforms
Date Published

Mar 15, 2024

S3
s3
Official

S3

This destination plugin lets you sync data from a CloudQuery source to remote S3 storage in various formats such as CSV, JSON and Parquet

Publisher

cloudquery

Repositorygithub.com
Latest version

v5.1.3

Type

Destination

Platforms
Date Published

Apr 9, 2024

Windows Setup

Step 1. Install CloudQuery

curl -L https://github.com/cloudquery/cloudquery/releases/download/cli-v4.3.4/cloudquery_windows_amd64.exe -o cloudquery.exe

Step 2. Configure Google Workspace source plugin

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

kind: source
spec:
  name: "googleworkspace"
  path: "jsifuentes/googleworkspace"
  registry: "cloudquery"
  version: "v1.1.0"
  destinations:
    - "postgresql"
  spec:
    customer_id: your Google Workspace Customer ID
    oauth:
      # token_file: ./token.json
      client_id: your Google Cloud Project OAuth Client ID
      client_secret: your Google Cloud Project OAuth Client Secret

Step 3. Configure S3 destination plugin

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

kind: destination
spec:
  name: "s3"
  path: "cloudquery/s3"
  registry: "cloudquery"
  version: "v5.1.3"
  write_mode: "append"
  spec:
    bucket: "bucket_name"
    region: "region-name" # Example: us-east-1
    path: "path/to/files/{{TABLE}}/{{UUID}}.parquet"
    format: "parquet" # options: parquet, json, csv
    format_spec:
      # CSV-specific parameters:
      # delimiter: ","
      # skip_header: false

    # Optional parameters
    # compression: "" # options: gzip
    # no_rotate: false
    # athena: false # <- set this to true for Athena compatibility
    # test_write: true # tests the ability to write to the bucket before processing the data
    # endpoint: "" # Endpoint to use for S3 API calls.
    # endpoint_skip_tls_verify # Disable TLS verification if using an untrusted certificate
    # use_path_style: false
    # batch_size: 10000 # 10K entries
    # batch_size_bytes: 52428800 # 50 MiB
    # batch_timeout: 30s # 30 seconds

Step 4. Run Sync

cloudquery sync googleworkspace.yml s3.yml
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