From f4f789f6a137f5259f347a335c89721222e2a4db Mon Sep 17 00:00:00 2001 From: Shyr-Shea Chang Date: Tue, 31 Oct 2023 16:13:59 -0700 Subject: [PATCH 1/2] Add slides 09 --- schedule.md | 2 +- .../demo_submissions_index.png | Bin 0 -> 104753 bytes slides/2023/09_server_caching/index.html | 699 ++++++++++++++++++ .../2023/09_server_caching/latency_1_2019.png | Bin 0 -> 114199 bytes .../2023/09_server_caching/latency_2_2019.png | Bin 0 -> 217914 bytes .../performance_no_caching.png | Bin 0 -> 98745 bytes .../performance_server_cache.png | Bin 0 -> 92855 bytes .../2023/09_server_caching/russian_dolls.jpg | Bin 0 -> 50736 bytes 8 files changed, 700 insertions(+), 1 deletion(-) create mode 100644 slides/2023/09_server_caching/demo_submissions_index.png create mode 100644 slides/2023/09_server_caching/index.html create mode 100644 slides/2023/09_server_caching/latency_1_2019.png create mode 100644 slides/2023/09_server_caching/latency_2_2019.png create mode 100644 slides/2023/09_server_caching/performance_no_caching.png create mode 100644 slides/2023/09_server_caching/performance_server_cache.png create mode 100644 slides/2023/09_server_caching/russian_dolls.jpg diff --git a/schedule.md b/schedule.md index 43fb0319..316dc4fd 100644 --- a/schedule.md +++ b/schedule.md @@ -94,7 +94,7 @@ The following schedule is subject to change, and many slide links are not yet ac - #### Monday: Frontend React Deep Dive by David Acevedo - Client-side Caching & Content Delivery Networks ([slides](/slides/2023/08_client_caching_cdn)) -- Server-Side Caching +- Server-Side Caching [slides](/slides/2023/09_server_caching)) - Relational Databases ### Tasks diff --git a/slides/2023/09_server_caching/demo_submissions_index.png b/slides/2023/09_server_caching/demo_submissions_index.png new file mode 100644 index 0000000000000000000000000000000000000000..3cb86176c619ebf946a99ce8d847ab30ea3af843 GIT binary patch literal 104753 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b/slides/2023/09_server_caching/index.html @@ -0,0 +1,699 @@ +--- +layout: presentation +title: Server-side Caching +--- + +class: center, middle + +# {{page.title}} + +## CS291A: Scalable Internet Services + +--- + +# Caching HTTP Responses: Motivation + +A single web server process repeatedly responds to HTTP requests from a variety +of clients. + +-- + +Responding to each request requires computation and I/O to be performed, both +of which can be expensive. + +-- + +In practice, there is a significant amount of similarity between HTTP +responses. + +-- + +With client-side caching we looked at optimizing scenarios where +requests for the same resource would result in an identical response. + +-- + +In this lecture we will look at optimizing scenarios where repeated responses +are not identical, but similar. + +--- + +# Caching HTTP Responses + +> Which parts of an HTTP response are similar to responses for other resources? + +-- + +* View fragments + +-- + +* Rarely modified ORM objects + +-- + +* Expensive to compute data + +--- + +# View Fragments + +View fragments are items that are similar across pages such as the header, +footer, sidebar, or even an item listing that may appear in multiple locations +(product listings, search results, product suggestions). + +Sidebar Fragment (shown on all cs291.com pages) + +```html + +``` + +--- + +# Rarely Modified ORM Objects + +* User permissions + +* Configuration options + +* Product details (on a shopping site) + +* In general, any persisted data (via a database, file store, external server, etc) that seldom changes + +--- + +# Expensive to Compute Data + +Expensive to compute data is exactly what the name suggests. Expensive could +mean: + +* it takes a significant amount of time to compute + +* it is best suited for a background worker due to hardware constraints on the + application servers. + +-- + +## Examples + +* The complete diff between two commits on GitHub + +* The list of suggested contacts on LinkedIn + +--- + +# Semi-Expensive Operations + +View fragments are produced by extensive string manipulation. In ruby, many +string manipulations with portions loaded from disk can result in a significant +amount of time. + +Every query to the database utilizes the database's resources. Optimizing for +similar queries can minimize the chance of a database bottleneck. + +-- + +> Assuming we want to keep previously computed results around between requests, +> how can we do it? + +-- + +> Where can we store the cached results? + +--- + +# Storing Cached Results + +Option 1: In memory on the application server + +-- + +Option 2: On the file system + +-- + +Option 3: In memory on another machine + +-- + +Now, let's look into each of these options. But first a look at latency. + +--- + +# Latency Numbers (ns and μs) + +![Latency Numbers Every Programmer Should Know](latency_1_2019.png) + +Source: + +--- + +# Latency Numbers (μs and ms) + +![Latency Numbers Every Programmer Should Know](latency_2_2019.png) + +Source: + +--- + +# Latency Numbers for Caching + +* Storing in memory and reading later is fast + * Random read: `0.1μs` + + * Reading 1MB: `4μs` + +-- + +* Storing on disk is slow without SSD (solid state drive): + * Disk seek: `3000μs` + + * Reading 1MB: `947μs` + +-- + +* Storing on disk with SSD is much more reasonable + * Random read: `16μs` + + * Reading 1MB: `62μs` + +-- + +* Storing on another machine is reasonable + + * Round trip within data center is `500μs` + +--- + +# Latency Numbers Summary + +## Summary + +* In memory: single digit `μs` + +* On SSD: tens of `μs` + +* On magnetic disk: thousands of `μs` + +* On remote machine: __add__ hundreds of `μs` + +## Conclusions + +* Prefer SSD over magnetic storage for speed + +* Memory > SSD > Remote + +> Are these conclusions always true? + +--- + +# Caching Locations + +> What effect on the cache hit rate does each of these designs have? + +* In memory: cache per process + +-- + +* On SSD: cache per machine + +-- + +* On remote machine: cache per application server pool (cluster) + +--- + +# Caching Location Trade-offs + +* In memory + * highest performance + * lowest hit rate (if applicable to only one process) + +* On SSD + * lower performance + * higher hit rate + +* On remote machine + * lowest performance + * highest hit rate + +There is no silver bullet. + +--- + +# Memcached + +__memcached__ is a commonly used remote cache server. It... + +* keeps a cache in memory + +* provides a simple TCP protocol to return responses to look up requests + +* is a distributed key-value store + * keys can be up to 250 bytes + + * values can be up to 1MB + + * scales horizontally + +* uses a simple LRU (least recently used) to make space for new items when full + +* performs all operations in constant time + +--- + +# Server-side Caching in Rails + +Rails provides excellent support for server-side caching. + +The three primary interfaces to caching in rails are: + +* HTTP caching + +* Fragment caching + +* Low level caching + +We already covered HTTP caching. Today we'll discuss the latter two. + +--- + +# Enabling Caching in Rails + +By default, caching is disabled in development and test modes, and enabled only +in production mode. + +If you want to enable caching in development mode you must make the following +change to your Rails environment: + +```ruby +config.action_controller.perform_caching = true +``` + +Rails can be configured to store cached data in a few different places: + +* In memory +* On a _local_ file system +* In a remote in-memory store + + + +--- + +# Configuring Rails Cache Stores + +* ActiveSupport::Cache::MemoryStore + +* ActiveSupport::Cache::FileStore + +* ActiveSupport::Cache::MemcacheStore + +--- + +# ActiveSupport::Cache::MemoryStore + +* Cached data is stored in memory, in the same address space as the ruby + process. + +* Defaults to `32MB`, configurable + +--- + +# ActiveSupport::Cache::FileStore + +* Cached data is stored on the _local_ file system. + +* Can configure the location of the storage in the Rails environment: + +```ruby +config.cache_store = :file_store, '/path/to/cache/' +``` + +--- + +# ActiveSupport::Cache::MemcacheStore + +* Cached data is stored in memory on another machine (could also be local). + +* Can configure the location of the server in the Rails environment: + +```ruby +config.cache_store = :mem_cache_store, 'cache-1.example.com' +``` + +--- + +# Fragment Caching in Rails + +Fragment caching caches a portion of a rendered view for reuse with future +requests. + +Let's look at fragment caching in the context of the demo app. + +--- + +# Fragment Caching Submission Partials + +.left-column30[ +We can cache each submission listing. + +With that done, then regardless of any other changes on the page, we can +re-render the submission view for all submissions that haven't been updated. +] +.right-column70[ +![Submissions Index View](demo_submissions_index.png) +] + +--- + +# Submission Listing (without cache) + +```erb +<% @submissions.each do |submission| %> + + + + + <%= link_to(submission.title, submission.url) %> + <%= submission.url %> + <%= submission.community.name %> + + <%= link_to("#{submission.comments.size} comments", + submission, class: 'btn btn-primary btn-xs') %> + + + + + +<% end %> +``` + +--- + +# Submission Listing (with cache) + +```erb +<% @submissions.each do |submission| %> + +* <% cache(cache_key_for_submission(submission)) do %> + + + <%= link_to(submission.title, submission.url) %> + <%= submission.url %> + <%= submission.community.name %> + + <%= link_to("#{submission.comments.size} comments", + submission, class: 'btn btn-primary btn-xs') %> + + + +* <% end %> + +<% end %> +``` + +--- + +# Choosing a Cache Key + +> How should we choose a cache key for a submission? + +-- + +```ruby +module SubmissionHelper + def cache_key_for_submission(submission) + "submission/#{submission.id}" + end +end +``` + +> What are the weaknesses with the above approach? + +-- + +* Invalidation will need to be explicit as the submission ID typically will + never be updated for an object. + +* Explicitly invalidating cache items can easily make a mess of the code. + +--- + +# Choosing a Better Cache Key + +```ruby +module SubmissionHelper + def cache_key_for_submission(sub) + "submission/#{sub.id}/#{sub.updated_at}/#{sub.comments.count}" + end +end +``` + +With the above, a submission's fragment cache is invalidated anytime the +submission is updated (`updated_at` is automatically updated on change), or +when the number of comments associated with the submission changes. + +_Note_: An Active Record model can be used directly as the key. It calls an +over-writable method `cache_key` on the model. By default that method returns a +key that "includes the model name, the id and finally the updated_at +timestamp". + +Reference: + + +--- + +# More Fragment Caching + +.left-column30[ +Now we are caching a fragment for each submission. + +> What else can we cache? +] +.right-column70[ +![Submissions Index View](demo_submissions_index.png) +] + +-- + +We can cache the entire submission listing! + +--- + +# Community Listing (without cache) + +```erb + + +

Submissions

+ + + + + + + + + + + + <% @submissions.each do |submission| %> + <% cache(...) do %> ... <% end %> + <% end %> + +
TitleUrlCommunity
+ +... +``` + +--- + +# Community Listing (with cache) + +```erb +*<% cache(cache_key_for_submission_table) do %> + +

Submissions

+ + + + + + + + + + + + <% @submissions.each do |submission| %> + <% cache(...) do %> ... <% end %> + <% end %> + +
TitleUrlCommunity
+ +... + +*<% end %> +``` + +--- + +# cache_key_for_submission_table + +```ruby +module SubmissionHelper + def cache_key_for_submission(sub) + "submission/#{sub.id}/#{sub.updated_at}/#{sub.comments.count}" + end + +* def cache_key_for_submission_table +* ("submission_table/#{Submission.maximum(:updated_at)}/" +* + Comment.maximum(:updated_at).to_s) +* end +end +``` + +--- + +# Russian Doll Caching + +This technique of nesting cache fragments is known as __Russian Doll Caching__. + +.center[![Imperial Russian Dolls](russian_dolls.jpg)] + +--- + +# Low-level Rails Caching + +You can use the same built-in mechanisms to manually cache anything: + +```ruby +class Product < ActiveRecord::Base + def competing_price + Rails.cache.fetch("#{cache_key}/competing_price", + expires_in: 12.hours) do + Competitor::API.find_price(id) + end + end +end +``` + +--- + +# Client credentials caching + +```ruby + +def attribute_permissions + permissions = Rails.cache.fetch(cache_key) + return permissions if permissions + + permissions = load_permissions + + # caching for a reasonable amount of time ... + Rails.cache.write(cache_key, permissions, expires_in: 3.hours) + + permissions +end + +def invalidate + Rails.cache.delete(cache_key) +end + +``` + +--- + +# Performance Comparison + +Let's compare the performance of the demo app with and without caching. + +The subsequent graphs were generated using Tsung against a deployment of the +`main` branch (without caching) and against a deployment of the +`server_side_caching` branch (with server-side caching) using the default rails +caching mechanism (memory). + +The `main` branch intentionally includes no optimizations. + +--- + +# Caching Test: Simulated Users + +We will use an m3-medium instance with the usual workload deployed using +passenger as an NGINX module. + +Using Tsung (erlang-based test framework) we will simulate multiple users +visiting the Demo App web service. Each user will: + +``` +Visit the homepage (/) + Wait randomly between 0 and 2 seconds +Request community creation form + Wait randomly between 0 and 2 seconds +Submit new community form +Request new link submission form + Wait randomly between 0 and 2 seconds +Submit new link submission form + Wait randomly between 0 and 2 seconds +Delete the link + Wait randomly between 0 and 2 seconds +Delete the community +``` + +--- + +# Caching Test: Phases + +This time we have six phases of testing each lasting 60 seconds: + +``` + (0-59s) Every second a new simulated user arrives + (60-119s) Every second 1.5 new simulated users arrive +(120-179s) Every second 2 new simulated users arrive +(180-239s) Every second 4 new simulated users arrive +(240-299s) Every second 6 new simulated users arrive +(300-359s) Every second 10 new simulated users arrive +``` + +--- + +class: center middle + +# Performance without Caching + +![Performance without caching](performance_no_caching.png) + +--- + +class: center middle + +# Performance with Caching + +![Performance with caching](performance_server_cache.png) + +--- + +# Performance Comparison + +Without caching the server struggled to handle a single new arrival each +second. + +With server-side caching the server can easily handle up to two +new arrivals a second. diff --git a/slides/2023/09_server_caching/latency_1_2019.png b/slides/2023/09_server_caching/latency_1_2019.png new file mode 100644 index 0000000000000000000000000000000000000000..e1771779ee8fb9abac36f8349578f5c5a0f53e21 GIT binary patch literal 114199 zcmeFZbzIZ?{y0t=poEk(2!b@y9fBZ@bcb||?nXtF?uLQDh{5P?kuIf1H%vN4NDO|{ zbM8H!>%E`xA+3gja!U{e1q0{KE#x;J zGWFU~P*DABq@+~kq@-w6T^ucK>@84Gp2V7&m@vz+KIt_zH8JTOVqwB^@l<>NK0?i; zt+Rcoy_4p%Nf%94ih;q>L%gNVAOgRp?)Ez$IksO9%EPa`$3QiH*Tj5fsV-WNh3Zd& zQ9b2tow?A_>2AklW~gOkV4K5GriJ=2pFfs3y+@;8*PMs)Sq#-YoDh}rj`<>L#Te}l zE{(^7l%daPS_BW)?wKo~Ory!+)!uraiDRlCG}TA?fk~qFb}##T^7f#y&gUI-?P}22 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Shyr-Shea Chang Date: Tue, 31 Oct 2023 16:14:12 -0700 Subject: [PATCH 2/2] Add project 3 link --- _includes/class_info.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/_includes/class_info.md b/_includes/class_info.md index ec145950..d73edb48 100644 --- a/_includes/class_info.md +++ b/_includes/class_info.md @@ -60,7 +60,7 @@ Monday, October 16 2pm PT Tuesday, October 24 2pm PT -### Project 3 Pairing Message due before +### [Project 3](/project3/) Pairing Message due before Monday, October 30 2pm PT

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