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https://github.com/teej/sf-funnels
https://github.com/teej/sf-funnels
Last synced: 7 days ago
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- Host: GitHub
- URL: https://github.com/teej/sf-funnels
- Owner: teej
- License: mit
- Created: 2022-05-16T17:13:34.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-10-03T05:37:25.000Z (about 2 years ago)
- Last Synced: 2024-08-02T15:25:54.795Z (3 months ago)
- Language: PLpgSQL
- Size: 3.56 MB
- Stars: 84
- Watchers: 2
- Forks: 6
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Funnel Analysis in SQL
## How to use this repository
This repository is best paired with the 2022 Snowflake Summit talk [OS303 Funnel Analysis in SQL From Start To Finish](https://www.snowflake.com/summit/agenda?agendaPath=session/824344).
There are many ways to do funnel analysis in SQL. This repository shares code examples of the three most important strategies: JOINs, WINDOWs, and regular expressions. For each, I include a README with a brief breakdown of how that strategy implements step selection, ordering, and time constraints.
Each example uses a table called `events`. This table represents a fictional log of user actions in an app. It contains 3 columns: an integer `user_id`, a timestamp `event_at`, and a varchar `event_name`. For simplicity, all event names are single characters.
You can find a script to create your own events table with sample data in `resources/events.sql`.
```
┌──────────┐
│ EVENTS │
╔═════════════╩──────────╩═════════════╗
║ user_id | event_at | event_name ║
╠──────────────────────────────────────╣
║ 101 2022-01-01 ... A ║
║ ║
║ 101 2022-01-02 ... B ║
║ ║
║ 101 2022-01-03 ... C ║
║ ║
║ 202 2022-01-01 ... A ║
║ ║
║ 202 2022-01-01 ... C ║
╚══════════════════════════════════════╝
```
**SPOILERS**
I have included a bonus fourth strategy: a user-defined table function written in Javascript. This UDTF outperforms pure-SQL strategies for large volumes of data and complex funnel patterns.