From e23ec866a2b01eea351a2da5bb26af6ffd1860ad Mon Sep 17 00:00:00 2001 From: preslavmihaylov Date: Sun, 8 Jan 2023 10:49:04 +0200 Subject: [PATCH] add notes about chapter12 --- .../chapter12/README.md | 129 ++++++++++++++++++ .../chapter12/images/cache-layer.png | Bin 0 -> 214014 bytes .../chapter12/images/fanout-service.png | Bin 0 -> 442341 bytes .../chapter12/images/feed-publishign.png | Bin 0 -> 629913 bytes .../images/feed-publishing-deep-dive.png | Bin 0 -> 848870 bytes .../images/news-feed-retrieval-deep-dive.png | Bin 0 -> 795479 bytes .../chapter12/images/newsfeed-building.png | Bin 0 -> 420825 bytes 7 files changed, 129 insertions(+) create mode 100644 system-design/system-design-interview/chapter12/images/cache-layer.png create mode 100644 system-design/system-design-interview/chapter12/images/fanout-service.png create mode 100644 system-design/system-design-interview/chapter12/images/feed-publishign.png create mode 100644 system-design/system-design-interview/chapter12/images/feed-publishing-deep-dive.png create mode 100644 system-design/system-design-interview/chapter12/images/news-feed-retrieval-deep-dive.png create mode 100644 system-design/system-design-interview/chapter12/images/newsfeed-building.png diff --git a/system-design/system-design-interview/chapter12/README.md b/system-design/system-design-interview/chapter12/README.md index e69de29..51970ae 100644 --- a/system-design/system-design-interview/chapter12/README.md +++ b/system-design/system-design-interview/chapter12/README.md @@ -0,0 +1,129 @@ +# Design a News Feed System +News feed == constantly updating list of stories on your home page. + +It includes status updates, photos, videos, links, etc. + +Similar interview questions - design facebook news feed, twitter timeline, instagram feed, etc. + +# Step 1 - Understand the problem and establish design scope +First step is to clarify what the interviewer has in mind exactly: + * C: Mobile, web app? + * I: Both + * C: What are the important features? + * I: User can publish posts and see friends' posts on news feed. + * C: Is news feed sorted in reverse chronological order or based on rank, eg best friends' posts first. + * I: To keep it simple, let's assume reverse chrono order + * C: Max number of friends? + * I: 5000 + * C: Traffic volume? + * I: 10mil DAU + * C: Can the feed contain media? + * I: It can contain images and video + +# Step 2 - Propose high-level design and get buy-in +There are two parts to the design: + * Feed publishing - when user publishes a post, corresponding data is written to cache and DB. Post is populated to friends' news feed. + * Newsfeed building - built by aggregating friends' posts in news feed. + +## Newsfeed API +The Newsfeed API is the primary gateway for users to the news feed services. + +Here's some of the main endpoints. + * `POST /v1/me/feed` - publish a post. Payload includes `content` + `auth_token`. + * `GET /v1/me/feed` - retrieve news feed. Payload includes `auth_token`. + +## Feed publishing +![feed-publishing](images/feed-publishign.png) + * User makes a new post via API. + * Load balancer - distributes traffic to web servers. + * Web servers - redirect traffic to internal services. + * Post service - persist post in database and cache. + * Fanout service - push posts to friends' news feeds. + * Notification service - inform new friends that content is available. + +## Newsfeed building +![newsfeed-building](images/newsfeed-building.png) + * User sends request to retrieve news feed. + * Load balancer redirects traffic to web servers. + * Web servers - route requests to newsfeed service. + * Newsfeed service - fetch news feed from cache. + * Newsfeed cache - store pre-computed news feeds for fast retrieval. + +# Step 3 - Design deep dive +Let's discuss the two flows we covered in more depth. + +## Feed publishing deep dive +![feed-publishing-deep-dive](images/feed-publishing-deep-dive.png) + +### Web servers +besides a gateway to the internal services, these do authentication and apply rate limits, in order to prevent spam. + +### Fanout service +This is the process of delivering posts to friends. There are two types of fanouts - fanout on write (push model) and fanout on read (pull model). + +Fanout on write (push model) - posts are pre-computed during post publishing. + +Pros: + * news feed is generated in real-time and can be delivered instantly to friends' news feed. + * fetching the news feed is fast as it's precomputed + +Cons: + * if a friend has many friends, generating the news feed takes a lot of time, which slows down post publishing speed. This is the hotkey problem. + * for inactive users, pre-computing the news feed is a waste. + +Fanout on read (pull model) - news feed is generated during read time. + +Pros: + * Works better for inactive users, as news feeds are not generated for them. + * Data is not pushed to friends, hence, no hotkey problem. + +Cons: + * Fetching the news feed is slow as it's not pre-computed. + +We'll adopt a hybrid approach - we'll pre-compute the news feed for people without many friends and use the pull model for celebrities and users with many friends/followers. + +System diagram of fanout service: +![fanout-service](images/fanout-service.png) + * Fetch friend IDs from graph database. They're suited for managing friend relationships and recommendations. + * Get friends info from user cache. Filtering is applied here for eg muted/blocked friends. + * Send friends list and post ID to the message queue. + * Fanout workers fetch the messages and store the news feed data in a cache. They store a `` mappings** in it which can later be retrieved. + +** I think there is some kind of error in this part of the book. It doesn't make sense to store a `` mapping in the cache. Instead, it should be a `` mapping as that allows one to quickly fetch all posts for a given user, which are part of their news feed. In addition to that, the example in the book shows that you can store multiple user_ids or post_ids as keys in the cache, which is typically not supported in eg a hashmap, but it is actually supported when you use the `Redis Sets` feature, but that is not explicitly mentioned in the chapter. + +## News feed retrieval deep dive +![news-feed-retrieval-deep-dive](images/news-feed-retrieval-deep-dive.png) + * user sends request to retrieve news feed. + * Load balancer distributes request to a set of web servers. + * Web servers call news feed service. + * News feed service gets a list of `post_id` from the news feed cache. + * Then, the posts in the news feed are hydrated with usernames, content, media files, etc. + * Fully hydrated news feed is returned as a JSON to the user. + * Media files are also stored in CDN and fetched from there for better user experience. + +## Cache architecture +Cache is very important for a news feed service. We divided it into 5 layers: +![cache-layer](images/cache-layer.png) + * news feed - stores ids of news feeds + * content - stores every post data. Popular content is stored in hot cache. + * social graph - store user relationship data. + * action - store info about whether a user liked, replied or took actions on a post. + * counters - counters for replies, likes, followers, following, etc. + +# Step 4 - wrap up +In this chapter, we designed a news feed system and we covered two main use-cases - feed publishing and feed retrieval. + +Talking points, related to scalability: + * vertical vs. horizontal database scaling + * SQL vs. NoSQL + * Master-slave replication + * Read replicas + * Consistency models + * Database sharding + +Other talking points: + * keep web tier stateless + * cache data as much as possible + * multiple data center setup + * Loose coupling components via message queues + * Monitoring key metrics - QPS and latency. diff --git a/system-design/system-design-interview/chapter12/images/cache-layer.png b/system-design/system-design-interview/chapter12/images/cache-layer.png new file mode 100644 index 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