redis
HomeDocsHowTos & TutorialsHow to build a HackerNews Clone using Redis

Documentation

How to build a HackerNews Clone using Redis

Ajeet Raina
Author
Ajeet Raina, Former Developer Growth Manager at Redis

Hacker News (sometimes abbreviated as HN) is a social news website focusing on computer science and entrepreneurship. It developed as a project of Graham's company Y Combinator, functioning as a real-world application of the Arc . programming language which Graham co-developed.

This is a HackerNews clone built upon React, NextJS as a frontend and NodeJS, ExpressJS & Redis as a backend. This application uses JSON for storing the data and Search in Redis Stack for searching.

Step 1. Install the prerequisites#

Install the below packages​

  • •NPM v7.8.0
  • •NODE v15.10.0

Step 2. Create Redis Cloud database#

Redis is an open source, in-memory, key-value data store most commonly used as a primary database, cache, message broker, and queue. Redis is popular among the developers as it delivers sub-millisecond response times, enabling fast and powerful real-time applications in industries such as gaming, fintech, ad-tech, social media, healthcare, and IoT.

Redis Cloud is a fully-managed cloud service for hosting and running your Redis dataset in a highly-available and scalable manner, with predictable and stable top performance. Redis Cloud allows you to run Redis server over the Cloud and access instance via multiple ways like RedisInsight, Redis command line as well as client tools. You can quickly and easily get your apps up and running with Redis Cloud through its Redis Heroku addons , just tell us how much memory you need and get started instantly with your first Redis database. You can then add more Redis databases (each running in a dedicated process, in a non-blocking manner) and increase or decrease the memory size of your plan without affecting your existing data.

Follow this link to create a Redis Cloud account with 2 databases with Redis Stack.

Save the database endpoint URL and password for our future reference

Step 3. Clone the repository#

 git clone https://github.com/redis-developer/redis-hacker-news-demo
 cd redis-hacker-news-demo

Step 4. Setting up environment variables#

Copy .env.sample to .env and provide the values as shown below:

 MAILGUN_API_KEY=YOUR_VALUE_HERE
 SEARCH_REDIS_SERVER_URL=redis://redis-XXXXX.c10.us-east-1-2.ec2.cloud.redislabs.com:10292
 SEARCH_REDIS_PASSWORD=ABCDXYZbPXHWsC
 JSON_REDIS_SERVER_URL=redis://redis-XXXXX.c14.us-east-1-2.ec2.cloud.redislabs.com:14054
 JSON_REDIS_PASSWORD=ABCDXYZA3tzw2XYMPi2P8UPm19D
 LOG_LEVEL=1
 USE_REDIS=1
 REDIS_REINDEX=
 PRODUCTION_WEBSITE_URL=i

Step 5. Run the developer environment#

 npm install
 npm run dev

Step 6. Pull Hacker News API to seed database#

Using API, it pulls the latest hackernews data. Next, you need to seed top stories from hacker news. First create a moderator with moderator:password123

 node ./backend/scripts/seed.js

Step 7. Access the HackerNews URL#

Open https://localhost:3001 and you should be able to access the HackerNews login screen as shown below:

How it works#

By Screens#

Signup#

  • •Make sure user(where username is andy1) does not exist.
 FT.SEARCH idx:user @username:"andy1" NOCONTENT LIMIT 0 1 SORTBY _id DESC
  • •Get and increase the next id in users collection.
 GET user:id-indicator // 63
 INCR user:id-indicator  // 64 will be next user id, 63 is current user id
  • •Create user:63 hash and json.(json also collects authToken and password hash etc)
  HSET user:63 username andy1 email  created 1615569194 karma 0 about  showDead false isModerator false shadowBanned false banned false _id 63
  JSON.SET user:63 .
 '{"username":"andy1","password":"$2a$10$zy8tsCske8MfmDX5CcWMce5S1U7PJbPI7CfaqQ7Bo1PORDeqJxqhe","authToken":"AAV07FIwTiEkNrPj0x1yj6BPJQSGIPzV0sICw2u0","  authTokenExpiration":1647105194,"email":"","created":1615569194,"karma":0,"showDead":false,"isModerator":false,"shadowBanned":false,"banned":false,"_id":63}'

Login#

  • •Find user
 FT.SEARCH idx:user  @username:"andy1" NOCONTENT LIMIT 0 1 SORTBY _id DESC
  • •Make sure password is correct
 JSON.MGET user:63 .
  • •Compare password and new password hash and create cookie if it's successful

Item list page#

  • •Check if user has toggled hidden attribute on a specific item.
 FT.SEARCH idx:user-hidden  @username:"andy1" NOCONTENT LIMIT 0 10000 SORTBY _id DESC
 // Result - [0, "item:4"]
  • •If that is not null
 FT.SEARCH idx:item  (-(@id:"item:4")) (@dead:"false") NOCONTENT LIMIT 0 30 SORTBY _id ASC
  • •If it's empty array
 FT.SEARCH idx:item (@dead:"false") NOCONTENT LIMIT 0 30 SORTBY _id ASC
 // Result - [3,"item:1","item:2","item:3"]
  • •Get all items from Redis using JSON.MGET
 JSON.MGET item:1 item:2 item:3 .
 // Result - [{"id":"bkWCjcyJu5WT","by":"todsacerdoti","title":"Total Cookie
 Protection","type":"news","url":"https://blog.mozilla.org/security/2021/02/23/total-cookie-
 protection/","domain":"mozilla.org","points":1,"score":1514,"commentCount":0,"created":1614089461,"dead":false,"_id":3}]]
  • •Get items posted within last 1 week
 FT.SEARCH idx:item  (@created:[(1615652598 +inf]) (@dead:"false") NOCONTENT LIMIT 0 0 SORTBY _id DESC
 // Result - [13,"item:19","item:17","item:16","item:15","item:14","item:13","item:12","item:11","item:8","item:5","item:4","item:3","item:1"]
NOTE

In this case, 1615652598 is a timestamp of 1 week ealier than current timestamp

 JSON.MGET item:19 item:17 item:16 item:15 item:14 item:13 item:12 item:11 item:8 item:5 item:4 item:3 item:1 .
 // Result - the JSON of selected items

Item Detail#

  • •Get the item object first
 JSON.MGET item:1 .
  • •Find item:1 's root comments
 FT.SEARCH idx:comment  (@parentItemId:"kDiN0RhTivmJ") (@isParent:"true") (@dead:"false") NOCONTENT LIMIT 0 30 SORTBY points ASC
 // Result - [3,"comment:1","comment:2","comment:12"]
  • •Get those comments
 JSON.MGET comment:1 comment:2 comment:12 .
 // one comment example result - {"id":"jnGWS8TTOecC","by":"ploxiln","parentItemId":"kDiN0RhTivmJ","parentItemTitle":"The Framework
 Laptop","isParent":true,"parentCommentId":"","children":[13,17,20],"text":"I don't see any mention of the firmware and drivers efforts for this.
 Firmware and drivers always end up more difficult to deal with than expected.<p>The Fairphone company was surprised by difficulties upgrading and
 patching android without support from their BSP vendor, causing many months delays of updates _and_ years shorter support life than they were
 planning for their earlier models.<p>I purchased the Purism Librem 13 laptop from their kickstarter, and they had great plans for firmware and
 drivers, but also great difficulty following through. The trackpad chosen for the first models took much longer than expected to get upstream linux
 support, and it was never great (it turned out to be impossible to reliably detect their variant automatically). They finally hired someone with
 sufficient skill to do the coreboot port _months_ after initial units were delivered, and delivered polished coreboot firmware for their initial
 laptops _years_ after they started the kickstarter.<p>So, why should we have confidence in the firmware and drivers that Framework will deliver
 :)","points":1,"created":1614274058,"dead":false,"_id":12}
  • •Using children of each comment, fetch children comments
 FT.SEARCH idx:comment  (@dead:"false") (@_id:("3"|"7"|"11")) NOCONTENT LIMIT 0 10000 SORTBY _id DESC
  • •Iterate this over until all comments are resolved

Submit#

  • •Get next item's id and increase it
 GET item:id-indicator
 // Result - 4
 SET item:id-indicator 5
  • •Create hash and index
 HSET item:4 id iBi8sU4HRcZ2 by andy1 title Firebase trends type ask url  domain  text Firebase Performance Monitoring is a service that helps you to
 gain insight into the performance characteristics of your iOS, Android, and web apps. points 1 score 0 created 1615571392 dead false _id 4
 JSON.SET item:4 . '{"id":"iBi8sU4HRcZ2","by":"andy1","title":"Firebase trends","type":"ask","url":"","domain":"","text":"Firebase Performance
 Monitoring is a service that helps you to gain insight into the performance characteristics of your iOS, Android, and web
 apps.","points":1,"score":0,"commentCount":0,"created":1615571392,"dead":false,"_id":4}'

Update Profile#

  • •Get the user
 FT.SEARCH idx:user  (@username:"andy1") NOCONTENT LIMIT 0 1 SORTBY _id DESC
 JSON.MGET user:63 .
  • •Update new user
 HSET user:63 username andy1 email  created 1615569194 karma 1 about I am a software engineer. showDead false isModerator false shadowBanned false
 banned false _id 63
 JSON.SET user:63 .
'{"username":"andy1","password":"$2a$10$zy8tsCske8MfmDX5CcWMce5S1U7PJbPI7CfaqQ7Bo1PORDeqJxqhe","authToken":"KJwPLN1idyQrMp5qEY5hR3VhoPFTKRcC8Npxxoju","   authTokenExpiration":1647106257,"email":"","created":1615569194,"karma":1,"about":"I am a software
 engineer.","showDead":false,"isModerator":false,"shadowBanned":false,"banned":false,"_id":63}'

Moderation Logs screen#

  • •Find all moderation logs
 FT.SEARCH idx:moderation-log * NOCONTENT LIMIT 0 0 SORTBY _id DESC
  // Result - [1,"moderation-log:1"]
  • •Get that moderation logs
 JSON.MGET moderation-log:1 .

Search#

  • •Get items that contains "fa"
 FT.SEARCH idx:item  (@title:fa*) (-(@id:"aaaaaaaaa")) (@dead:"false") NOCONTENT LIMIT 0 30 SORTBY score ASC
  // Result - [2,"item:18","item:16"]
  • •Get those items via json
 JSON.MGET item:18 item:16 .

Example commands#

There are 2 type of fields, indexed and non-indexed.#

  1. 1.Indexed fields will be stored in hash using HSET/HGET.
  2. 2.Non-indexed fields will be stored in JSON.
  • •Create an index

When schema is created, it should created index.

 FT.CREATE idx:user ON hash PREFIX 1 "user:" SCHEMA username TEXT SORTABLE email TEXT SORTABLE karma NUMERIC SORTABLE
  • •Drop search index

Should drop/update index if the schema has changed

 FT.DROPINDEX idx:user
  • •Get search info

Validate if the fields are indexed properly. If not, it will update the index fields or drop/recreate.

 FT.INFO idx:user
  • •Create a new user

It will require new hash and new JSON record

 HSET user:andy username "andy" email "andy@gmail.com" karma 0
 JSON.SET user:andy '{"passoword": "hashed_password", "settings": "{ \"showDead\": true }" }'
  • •Update a user
 HSET user:1 username "newusername"
 JSON.SET user:andy username "newusername"
  • •Find user with username 'andy'
  1. 1.Find the user's hash first
 FT.SEARCH idx:user '@username:{andy}'

2. Fetch the JSON object to get the related JSON object

 JSON.GET user:andy
  • •Find user whose id is andy1 or andy2
 FT.SEARCH idx:user '@id:("andy1"|"andy2")'
  • •Find user whose id is not andy1 or andy2
 FT.SEARCH idx:user '(-(@id:("andy1"|"andy2")))'
  • •Find user whose id is andy1 or username is andy
 FT.SEARCH idx:user '(@id:"andy1") | (@username:"andy")'
  • •Find user whose id is andy1 and username is andy
 FT.SEARCH idx:user '(@id:"andy1") (@username:"andy")'
  • •Find first 10 users order by username
 FT.SEARCH idx:user '*' LIMIT 0 10 SORTBY username ASC
  • •Find next 10 users
 FT.SEARCH idx:user '*' LIMIT 10 20 SORTBY username ASC
  • •Get from JSON from multiple keys
 JSON.MGET idx:user "andy1" "andy2" "andy3"

References#

Last updated on Feb 27, 2024
PreviousBenchmarks for BERT Large Question Answering inference for RedisAI and RedisGears
NextRedis Anti-Patterns Every Developer Should Avoid