Let's discuss the few points that Redash can achieve for your project
- Provide Historical analytic data
- Integrated through Embed link / API
- Real-Time Alerts
As we said Historical analytics means we can connect our database to redash and can fetch historical data through queries like a count of a specific task performed in a particular time
Integration comes into a picture where most of the UI developers will be worrying about, but you don’t if your project is built with a redash tool.
It will be as easy as you can use an embed link directly or you can use your own graphs/charts in client-side and integrate the data from the redash API’s.
Coming to the knowledge as far as I was into redash, let me guide you guys to set up a redash local environment in your machine, where you can explore the redash as much as you can.
Setting up Redash in Windows System
Pre-requisites :
- Docker desktop with the default configuration using Linux containers
- Git
let's start with setting up the environment for redash
Redash requires PostgreSQL (as Database), Redis & NGINX(server)
let's create an empty folder and in that a file named docker-compose.yml in that.
we are creating this file docker-compose for letting docker understand how we are to want a redash container
version: ‘2’
x-redash-service: &redash-service
image: redash/redash:latest
depends_on:
- postgres
- redis
env_file: redash.env
restart: always
services:
server:
<<: *redash-service
command: server
ports:
- “5000:5000”
environment:
REDASH_WEB_WORKERS: 4
scheduler:
<<: *redash-service
command: scheduler
environment:
QUEUES: “celery”
WORKERS_COUNT: 1
scheduled_worker:
<<: *redash-service
command: worker
environment:
QUEUES: “scheduled_queries,schemas”
WORKERS_COUNT: 1
adhoc_worker:
<<: *redash-service
command: worker
environment:
QUEUES: “queries”
WORKERS_COUNT: 2
redis:
image: redis:latest
restart: always
postgres:
image: postgres:latest
env_file: redash.env
restart: always
nginx:
image: nginx:latest
ports:
- “80:80”
depends_on:
- server
links:
- server:redash
restart: always
If you are still confusing about this docker-compose.yml file, please go through this video https://www.youtube.com/watch?v=HUpIoF_conA
Create an env file with the name redash.env in the same folder
REDASH_HOST=http://localhost/redash
PYTHONUNBUFFERED=0
REDASH_LOG_LEVEL=INFO
REDASH_REDIS_URL=redis://redis:6379/0
POSTGRES_PASSWORD=
REDASH_COOKIE_SECRET=redash-selfhosted
REDASH_SECRET_KEY=redash-selfhosted
REDASH_DATABASE_URL=postgresql://postgres@postgres/postgres
As we will use PostgreSQL and Redis images from the docker-hub we can leave the POSTGRES_PASSWORD as blank and REDASH_DATABASE_URL as it is.
Open the command prompt and navigate to the created folder which contains docker-compose.yml and redash.env files
The below command will create a DB to store necessary information of Redash in PostgreSQL.
docker-compose run — rm server create_db
If there is any error then repeat the previous steps otherwise it should be ok
docker-compose up -d
Here “-d” means detach mode in docker
Use the browser and navigate to localhost:5000, there u should be able to see the below screen.
Here redash asks to create an admin user to access the tool, even though we give our email in the setup, we should configure the mail setup for redash for this to work.
After this setup, you should be able to see the user dashboard where we can connect to our DB
Using the connect option will ask you for the below details
After this setup process, you will be able to create queries, add visualization, create dashboards with multiple visualizations, etc in your local machine.
