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https://github.com/redis-developer/basic-analytics-dashboard-redis-bitmaps-nodejs

This repo shows a basic analytics dashboard app that uses Redis Bitmap written in NodeJS (JavaScript)
https://github.com/redis-developer/basic-analytics-dashboard-redis-bitmaps-nodejs

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This repo shows a basic analytics dashboard app that uses Redis Bitmap written in NodeJS (JavaScript)

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# Redis Analytics Bitmaps demo

Showcases how to implement analytics system using Redis Bitmaps (and other data types) in NodeJS


# Overview video

Here's a short video that explains the project and how it uses Redis:

[![Watch the video on YouTube](https://github.com/redis-developer/basic-analytics-dashboard-redis-bitmaps-nodejs/blob/cb8c2178a6c5a019c42aa91739ad9bfdbb2d558c/docs/YTThumbnail.png)](https://www.youtube.com/watch?v=Ugym4yUeIhA)

## How it works
### How the data is stored:

* The event data is stored in various keys and various data types.
* For each of time spans:
* year: like 2021
* month: like 2021-03 (means March of 2021)
* day: like 2021-03-03 (means 3rd March of 2021)
* weekOfMonth: like 2021-03/4 (means 4th week of March 2021)
* anytime

* and for each of scopes:
* source
* action
* source + action
* action + page
* userId + action
* global

* and for each of data types (types):
* count (Integer stored as String)
* bitmap
* set

Is generated key like: `rab:{type}[:custom:{customName}][:user:{userId}][:source:{source}][:action:{action}][:page:{page}]:timeSpan:{timeSpan}`, where values in `[]` are optional.
* For each generated key like `rab:count:*`, data is stored like: `INCR {key}`
* E.g `INCR rab:count:action:addToCart:timeSpan:2015-12/3`
* For each generated key like: `rab:set:*`, data is stored like: `SADD {key} {userId}`
* E.g `SADD rab:set:action:addToCart:timeSpan:2015-12/3 8`
* For each generated key like `rab:bitmap:*`, data is stored like: `SETBIT {key} {userId} 1`.
* E.g `SETBIT rab:bitmap:action:addToCart:timeSpan:2015-12/3 8 1`
* Cohort data:
* We store users who register and then bought some products (action order matters).
* For each buy action in December we check if user performed register action before (register counter must be greater than zero).
* If so, we set user bit to 1 like: `SETBIT rab:bitmap:custom:cohort-buy:timeSpan:{timeSpan} {userId} 1`
* E.g User Id 2 bought 2 products on 2015-12-17. He won't be stored.
* E.g User Id 10 bought 1 product on 2015-12-17 and registered on 2015-12-16. He will be stored like: `SETBIT rab:bitmap:custom:cohort-buy:timeSpan:2015-12 10 1`.
* We assume that user cannot buy without register.
* Retention data:
* Retention means users who bought on two different dates
* For each buy action we check if user bought more products anytime than bought on particular day (current purchase not included).
* If so, we add user id to set like: `SADD rab:set:custom:retention-buy:timeSpan:{timeSpan} {userId}`
* E.g User Id 5 bought 3 products on 2015-12-15. His retention won't be stored (products bought on particular day: 2, products bought anytime: 0).
* E.g User Id 3 bought 1 product on 2015-12-15 and before - 1 product on 2015-12-13. His retention will be stored (products bought on particular day: 0, products bought anytime: 1) like: `SADD rab:set:custom:retention-buy:timeSpan:2015-12 3`.

### How the data is accessed:

* Total Traffic:
* December: `BITCOUNT rab:bitmap:custom:global:timeSpan:2015-12`
* X week of December: `BITCOUNT rab:bitmap:custom:global:timeSpan:2015-12/{X}`
* E.g `BITCOUNT rab:bitmap:custom:global:timeSpan:2015-12/3`

* Traffic per Page ({page} is one of: homepage, product1, product2, product3):
* December: `BITCOUNT rab:bitmap:action:visit:page:{page}:timeSpan:2015-12`
* E.g `BITCOUNT rab:bitmap:action:visit:page:homepage:timeSpan:2015-12`
* X week of December: `BITCOUNT rab:bitmap:action:visit:page:{page}:timeSpan:2015-12/{X}`
* E.g `BITCOUNT rab:bitmap:action:visit:page:product1:timeSpan:2015-12/2`

* Traffic per Source ({source} is one of: google, Facebook, email, direct, referral, none):
* December: `BITCOUNT rab:bitmap:source:{source}:timeSpan:2015-12`
* E.g `BITCOUNT rab:bitmap:source:referral:timeSpan:2015-12`
* X week of December: `BITCOUNT rab:bitmap:source:{source}:timeSpan:2015-12/{X}`
* E.g `BITCOUNT rab:bitmap:source:google:timeSpan:2015-12/1`

* Trend traffic ({page} is one of: homepage, product1, product2, product3):
* December: from `BITCOUNT rab:bitmap:action:visit:{page}:timeSpan:2015-12-01` to `BITCOUNT rab:bitmap:action:visit:{page}:timeSpan:2015-12-31`
* 1 Week of December: Similar as above, but from 2015-12-01 to 2015-12-07
* 2 Week of December: Similar as above, but from 2015-12-08 to 2015-12-14
* 3 Week of December: Similar as above, but from 2015-12-15 to 2015-12-21
* 4 Week of December: Similar as above, but from 2015-12-22 to 2015-12-28
* 5 Week of December: Similar as above, but from 2015-12-29 to 2015-12-31
* E.g `BITCOUNT rab:bitmap:action:visit:homepage:timeSpan:2015-12-29` => `BITCOUNT rab:bitmap:action:visit:homepage:timeSpan:2015-12-30` => `BITCOUNT rab:bitmap:action:visit:homepage:timeSpan:2015-12-31`

* Total products bought:
* December: `GET rab:count:action:buy:timeSpan:2015-12`
* X week of December: `GET rab:count:action:buy:timeSpan:2015-12/{X}`
* E.g `GET rab:count:action:buy:timeSpan:2015-12/1`

* Total products added to cart:
* December: `GET rab:count:action:addToCart:timeSpan:2015-12`
* X week of December: `GET rab:count:action:addToCart:timeSpan:2015-12/{X}`
* E.g `GET rab:count:action:addToCart:timeSpan:2015-12/1`

* Shares of products bought ({productPage} is on of product1, product2, product3):
* December: `GET rab:count:action:buy:page:{productPage}:timeSpan:2015-12`
* E.g `GET rab:count:action:buy:page:product3:timeSpan:2015-12`
* X week of December: `GET rab:count:action:buy:page:{productPage}:timeSpan:2015-12/{X}`
* E.g `GET rab:count:action:buy:page:product1:timeSpan:2015-12/2`

* Customer and Cohort Analysis:
* People who registered: `BITCOUNT rab:bitmap:action:register:timeSpan:2015-12`
* People who register then bought (order matters): `BITCOUNT rab:bitmap:custom:cohort-buy:timeSpan:2015-12`
* Dropoff: (People who register then bought / People who register) * 100 [%]

* Customers who bought only specified product ({productPage} is one of: product1, product2, product3): `SMEMBERS rab:set:action:buy:page:{productPage}:timeSpan:2015-12`
* E.g `SMEMBERS rab:set:action:buy:page:product2:timeSpan:2015-12`
* Customers who bought Product1 and Product2: `SINTER rab:set:action:buy:page:product1:timeSpan:anytime rab:set:action:buy:page:product2:timeSpan:anytime`
* Customer Retention (customers who bought on the different dates): `SMEMBERS rab:set:custom:retention-buy:timeSpan:anytime`

## Hot to run it locally?

### Prerequisites

- Node - v12.19.0
- NPM - v6.14.8
- Docker - v19.03.13 (optional)

### Local installation

Go to `/server` folder (`cd ./server`) and then:

```
# copy file and set proper data inside
cp .env.example .env

# install dependencies
npm install

# run docker compose or install redis manually
docker network create global
docker-compose up -d --build

# Run dev server
npm run dev
```

Go to `/client` folder (`cd ./client`) and then:

```
# copy file and set proper data inside
cp .env.example .env

# install dependencies
npm install

# run development mode
npm run serve
```

## Deployment

To make deploys work, you need to create free account in https://redislabs.com/try-free/

### Google Cloud Run

[![Run on Google
Cloud](https://deploy.cloud.run/button.svg)](https://deploy.cloud.run/?git_repo=https://github.com/redis-developer/basic-analytics-dashboard-redis-bitmaps-nodejs.git&revision=feature/deploy-buttons)

### Heroku

[![Deploy](https://www.herokucdn.com/deploy/button.svg)](https://heroku.com/deploy)

### Vercel

[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/git/external?repository-url=https://github.com/redis-developer/basic-analytics-dashboard-redis-bitmaps-nodejs&env=REDIS_ENDPOINT_URI,REDIS_PASSWORD)