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Export from Simple Analytics to S3

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

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

simple-analytics

Simple Analytics

A Simple Analytics source plugin for CloudQuery that loads raw page view and event data from Simple Analytics to any database, data warehouse or data lake supported by CloudQuery, such as PostgreSQL, BigQuery, Athena, and many more.

Publisher

simple-analytics

Repositorygithub.com
Latest version

v2.0.0

Type

Source

Platforms
Date Published

Nov 15, 2023

Price

Free

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

v4.9.1

Type

Destination

Platforms
Date Published

Feb 20, 2024

Price

Free

MacOS Setup

Step 1. Install CloudQuery

brew install cloudquery/tap/cloudquery

Step 2. Configure Simple Analytics source plugin

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

kind: source
spec:
  name: "simple-analytics"
  path: "simple-analytics/simple-analytics"
  registry: cloudquery
  version: "v2.0.0"
  # use this to enable incremental syncing
  # backend_options:
  #   table_name: "cq_state_simpleanalytics
  #   connection: "@@plugins.s3.connection"
  tables: 
    ["*"]
  destinations: 
    - "postgresql"
  spec:
    # plugin spec section
    user_id: "${SA_USER_ID}"
    api_key: "${SA_API_KEY}"
    websites:
      - hostname: mywebsite.com
        metadata_fields: 
          - fieldname_text
          - fieldname_int
          # - ...

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: "v4.9.1"
  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 simple-analytics.yml s3.yml
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