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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

Price

Free

Set up process #


brew install cloudquery/tap/cloudquery

1. Download CLI and login

See installation options

2. Create source and destination configs

Plugin configuration

cloudquery sync simple-analytics.yml postgresql.yml

3. Run the sync

CloudQuery sync

Overview #

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.

Configuration #

The following source configuration file will sync all data points for mywebsite.com to a PostgreSQL database. See Quickstart for more information on how to configure the source and destination.
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.postgresql.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
          # - ...

Plugin Spec #

  • user_id (string) (required)
    A user ID from Simple Analytics, obtained from the account settings page. It should start with sa_user_id...
  • api_key (string) (required)
    An API Key from Simple Analytics, obtained from the account settings page. It should start with sa_api_key...
  • websites (list) (required)
    A list of websites to sync data for. Each website should have the following fields:
    • hostname (string) (required)
      The hostname of the website to sync data for. This should be the same as the hostname in Simple Analytics.
    • metadata_fields ([]string) (optional)
      A list of metadata fields to sync, e.g. ["path_text", "created_at_time"]. If not specified, no metadata fields will be synced.
  • start_date (string) (optional)
    The date to start syncing data from. If not specified, the plugin will sync data from the beginning of time (or use a start time defined by period, if set).
  • end_date (string) (optional)
    The date to stop syncing data at. If not specified, the plugin will sync data until the current date.
  • period (string) (optional)
    The duration of the time window to fetch historical data for, in days, months or years. It is used to calculate start_date if it is not specified. If start_date is specified, duration is ignored. Examples:
    • 7d: last 7 days
    • 3m: last 3 months
    • 1y: last year
  • concurrency (integer) (optional) (default: 1000`)
    Best effort maximum number of Go routines to use. Lower this number to reduce memory usage.

Incremental Syncing #

The Simple Analytics plugin supports incremental syncing. This means that only new data points will be fetched from Simple Analytics and loaded into your destination. This is done by keeping track of the last date a sync was done, and only fetching new data from that date onwards. To enable this, backend_options must be set in the spec (as shown in the example config above). By default, incremental syncing is turned off. Also note that this will introduce duplicates, unless the destination is using overwrite-delete-stale mode. Care should be taken to remove these duplicates after loading them. For more information, see Managing Incremental Tables.

Example Queries #

List the top 10 pages by views for a given period, excluding robots #

select 
  path, 
  count(*) 
from 
  simple_analytics_page_views 
where 
  hostname = 'mywebsite.com'
  and is_robot is false 
  and added_iso between '2023-01-01' 
  and '2023-02-01'
group by 
  path 
order by
  count desc 
limit 
  10
+----------------------------------+---------+
| path                             | count   |
|----------------------------------+---------|
| /                                | 100333  |
| /page                            | 91234   |
| /another-page                    | 84567   |
| /blog/introduction               | 74342   |
| /index                           | 69333   |
| /another/page                    | 64935   |
| /deeply/nested/page              | 50404   |
| /yet/another                     | 42309   |
| /some/page                       | 34433   |
| /about-us                        | 20334   |
+----------------------------------+---------+
 

List events #

select 
  added_iso, 
  datapoint, 
  path, 
  browser_name 
from 
  simple_analytics_events 
order by 
  added_iso desc 
limit 
  5
+-------------------------+-----------+-----------------------------------------------+---------------+
| added_iso               | datapoint | path                                          | browser_name  |
|-------------------------+-----------+-----------------------------------------------+---------------|
| 2023-01-23 19:32:25.68  | 404       | /security                                     | Google Chrome |
| 2023-01-22 20:23:23.379 | 404       | /blog/running-cloudquery-in-gcp               | Google Chrome |
| 2023-01-19 12:04:57.095 | 404       | /docs/plugins/sources/vercel/configuration.md | Brave         |
| 2023-01-19 12:04:36.567 | 404       | /docsss                                       | Firefox       |
| 2023-01-19 01:50:19.259 | 404       | /imgs/gcp-cross-project-service-account       | Google Chrome |
+-------------------------+-----------+-----------------------------------------------+---------------+

Development #

Run tests #

make test

Run linter #

make lint

Generate docs #

make gen-docs

Release a new version #

  1. Run git tag v1.0.0 to create a new tag for the release (replace v1.0.0 with the new version number)
  2. Run git push origin v1.0.0 to push the tag to GitHub
Once the tag is pushed, a new GitHub Actions workflow will be triggered to build the release binaries and create the new release on GitHub. To customize the release notes, see the Go releaser changelog configuration docs.

Publish a new version to the Cloudquery Hub #

After tagging a release, you can build and publish a new version to the Cloudquery Hub by running the following commands. Replace v1.0.0 with the new version number.
# -m parameter adds release notes message, output is created in dist/ directory
go run main.go package -m "Release v1.0.0" v1.0.0 .

# Login to cloudquery hub and publish the new version
cloudquery login -t simple-analytics
cloudquery plugin publish --finalize
After publishing the new version, it will show up in the hub.
For more information please refer to the official Publishing a Plugin to the Hub guide.



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