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For developersRedis quick start guide
Prasan Rajpurohit
Prasan Rajpurohit
William Johnston
William Johnston
Welcome to the getting started for the official Redis Developer Hub!
If you are new to Redis, we recommend starting with the "Get started with Redis" course on Redis University. It is an introductory course, perfect for developers new to Redis. In this course, you’ll learn about the data structures in Redis, and you’ll see how to practically apply them in the real world.
If you have questions related to Redis, come join the Redis Discord server. Our Discord server is a place where you can learn, share, and collaborate about anything and everything Redis. Connect with users from the community and Redis University. Get your questions answered and learn cool new tips and tricks! Watch for notifications of the latest content from Redis and the community. And share your own content with the community.

#Setup Redis

There are essentially two ways you can use Redis:

#Redis Cloud

  • Cloud Redis: A hosted and serverless Redis database-as-a-service (DBaaS). The fastest way to deploy Redis Cloud via Amazon AWS, Google Cloud Platform, or Microsoft Azure.
  • On-prem/local Redis: Self-managed Redis using your own server and any operating system (Mac OS, Windows, or Linux).
If you choose to use local Redis we strongly recommend using Docker. If you choose not to use Docker, use the following instructions based on your OS:

#Docker

The docker run command below exposes redis-server on port 6379 and Redis Insight on port 8001. You can use Redis Insight by pointing your browser to http://localhost:8001.
You can use redis-cli to connect to the server at localhost:6379. If you don’t have redis-cli installed locally, you can run it from the Docker container like below:

#Older methods

If you do not want to use Redis Cloud or Docker, see the install archive for how to run Redis natively.

#Basic Querying with Redis

#CLI

  • Connect to Redis using CLI or Redis Insight (a GUI tool to visualize data and run commands, see below)
Redis Insight
  • Basic CLI / Redis Insight workbench commands

#Javascript

#Python

#C-Sharp

The .NET Community has built many client libraries to help handle requests to Redis Server. In this guide, we'll mostly be concerned with using the StackExchange.Redis client library. As the name implies the StackExchange client is developed by StackExchange for use on popular websites like StackOverflow.

#Secondary Indexing and Searching with Redis

#CLI

Redis supports JSON.
More details can be found in the Redis docs
Redis has a query and indexing engine, providing secondary indexing, full-text search and aggregations capabilities.
  • We have to create index on schema to be able to search on its data
Once index is created, any pre-existing/ new/ modified JSON document is automatically indexed.
  • Search
  • Search & project required fields
More details on query syntax
  • Drop index
  1. Redis and JSON explained (Revisited in 2022) video
  2. Redis University, Storing, Querying, and Indexing JSON at Speed

#Javascript

The following example uses Redis OM Node, but you can also use Node Redis, IO Redis, or any other supported client
  • create RedisOM Client & connect to redis
  • Create Entity, Schema & Repository
  • Insert example
  • Read example
  • Update example
  • Update location sample
  • Search examples
  • Delete example

#Python

The following example uses Redis OM Python, but you can also use redis-py or any other supported client
Create a JSON model
  • Insert example
  • Read example
  • Update example
  • Update embedded JSON example
  • Search examples
  • Delete example

#C-Sharp

The following example uses Redis OM .NET, but you can also use any other supported client. The examples also use the synchronous methods of Redis OM .NET, but it is recommended that you use the asynchronous methods in a production application.
  • Create a JSON model
  • Setup your main program
The rest of the code will be inside of Main.
  • Create your provider used to call into Redis
  • Conditionally create index necessary for searching
  • Initialize your collection
  • Insert example
  • Read example
  • Update example
  • Update location example
  • Search examples
  • Delete example

#Probabilistic Data and Queries with Redis

Redis supports probabilistic data types and queries. Below you will find a stock leaderboard example:
More details in docs

#TimeSeries Data and Queries with Redis

Redis supports time-series use cases such as IoT, stock prices, and telemetry. You can ingest and query millions of samples and events at the speed of Redis. You can also use a variety of queries for visualization and monitoring with built-in connectors to popular tools like Grafana, Prometheus, and Telegraf.
The following example demonstrates how you might store temperature sensor readings in Redis:
More details in docs

#Additional Resources