Caching Patterns

Caching Patterns

Philosophy: Cache Aggressively, Invalidate Precisely

• HTTP caching with ETags and fresh_when for free 304 Not Modified responses
• Russian doll caching with touch: true for automatic cache invalidation
• Fragment caching in views with cache keys based on updated_at timestamps
• Solid Cache (database-backed, no Redis) for production caching
• Collection caching with cache_collection for lists
• Low-level caching with Rails.cache.fetch for expensive computations

Project Knowledge

Stack: Solid Cache (database-backed), Turbo for page refreshes, ETags with conditional GET, fragment caching in ERB views, collection caching for lists.

Multi-tenancy: Cache keys scoped to account. URL-based: app.myapp.com/123/projects/456.

Commands:

rails solid_cache:install        # Install Solid Cache
rails db:migrate                 # Run cache migrations
rails cache:clear                # Clear cache

Caching Strategy Hierarchy

Apply caching in this order (highest impact first):

1. HTTP caching -- fresh_when / stale? in controllers (free 304s)
2. Fragment caching -- cache blocks in views (Russian doll)
3. Collection caching -- cache_collection for lists of partials
4. Low-level caching -- Rails.cache.fetch for expensive computations

Pattern 1: HTTP Caching with ETags

See @references/http-caching.md for full details.

# Single resource -- returns 304 if ETag matches
class BoardsController < ApplicationController
  def show
    @board = Current.account.boards.find(params[:id])
    fresh_when @board
  end

  def index
    @boards = Current.account.boards.includes(:creator)
    fresh_when @boards
  end
end

# Composite ETag from multiple objects
def show
  fresh_when [@board, @card, Current.user]
end

# API with stale? for conditional rendering
def show
  @board = Current.account.boards.find(params[:id])
  if stale?(@board)
    render json: @board
  end
end

# Custom ETag with parameters
fresh_when etag: [@activities, @report_date, Current.user.timezone]

Pattern 2: Russian Doll Caching

See @references/fragment-caching.md for full details.

Set up touch cascades in models:

class Card < ApplicationRecord
  belongs_to :board, touch: true
end

class Comment < ApplicationRecord
  belongs_to :card, touch: true
  # Updating comment touches card -> touches board -> invalidates all caches
end

Nest cache blocks in views:

<% cache @board do %>
  <h1><%= @board.name %></h1>
  <% @board.columns.each do |column| %>
    <% cache column do %>
      <% column.cards.each do |card| %>
        <% cache card do %>
          <%= render card %>
        <% end %>
      <% end %>
    <% end %>
  <% end %>
<% end %>

Pattern 3: Collection Caching

<%# Cache each item individually with multi-fetch optimization %>
<% cache_collection @boards, partial: "boards/board" %>

<%# Manual alternative %>
<% @boards.each do |board| %>
  <% cache board do %>
    <%= render "boards/board", board: board %>
  <% end %>
<% end %>

Use counter caches to avoid N+1 in cache keys:

class Card < ApplicationRecord
  belongs_to :board, counter_cache: true, touch: true
end

class Board < ApplicationRecord
  def cache_key_with_version
    "#{cache_key}/cards-#{cards_count}-#{updated_at.to_i}"
  end
end

Pattern 4: Fragment Caching with Custom Keys

<%# Multiple dependencies %>
<% cache ["board_header", @board, Current.user] do %>
  <h1><%= @board.name %></h1>
  <% if Current.user.can_edit?(@board) %>
    <%= link_to "Edit", edit_board_path(@board) %>
  <% end %>
<% end %>

<%# With expiration %>
<% cache ["board_stats", @board], expires_in: 15.minutes do %>
  <div class="stats"><%= @board.cards.count %> cards</div>
<% end %>

<%# Conditional caching %>
<% cache_if @enable_caching, board do %>
  <%= board.name %>
<% end %>

<%# Multi-key with locale %>
<% cache ["dashboard", Current.account, Current.user,
          @boards.maximum(:updated_at), I18n.locale] do %>
  <%= render "boards_summary", boards: @boards %>
<% end %>

Pattern 5: Low-Level Caching

class Board < ApplicationRecord
  def statistics
    Rails.cache.fetch([self, "statistics"], expires_in: 1.hour) do
      {
        total_cards: cards.count,
        completed_cards: cards.joins(:closure).count,
        total_comments: cards.joins(:comments).count
      }
    end
  end

  # Race condition protection for expensive operations
  def expensive_calculation
    Rails.cache.fetch(
      [self, "expensive_calculation"],
      expires_in: 1.hour,
      race_condition_ttl: 10.seconds
    ) { calculate_complex_metrics }
  end

  # Version-based cache busting
  STATS_VERSION = 2
  def versioned_statistics
    Rails.cache.fetch([self, "statistics", "v#{STATS_VERSION}"],
                      expires_in: 1.hour) { calculate_statistics }
  end
end

Pattern 6: Cache Invalidation

See @references/cache-invalidation.md for full details.

# Prefer touch: true cascades (automatic)
belongs_to :board, touch: true

# Manual invalidation for low-level caches
class Card < ApplicationRecord
  after_create_commit :clear_board_caches
  after_destroy_commit :clear_board_caches

  private

  def clear_board_caches
    Rails.cache.delete([board, "statistics"])
    Rails.cache.delete([board, "card_distribution"])
  end
end

# Sweeper pattern for batch invalidation
class CacheSweeper
  def self.clear_board_caches(board)
    Rails.cache.delete([board, "statistics"])
    Rails.cache.delete([board, "card_distribution"])
    Rails.cache.delete([board, "activity_summary", Date.current])
  end
end

Pattern 7: Solid Cache Configuration

# config/environments/production.rb
config.cache_store = :solid_cache_store

# config/environments/development.rb
config.cache_store = :memory_store, { size: 64.megabytes }

# config/environments/test.rb
config.cache_store = :null_store

Pattern 8: Cache Warming

class CacheWarmerJob < ApplicationJob
  queue_as :low_priority

  def perform(account)
    account.boards.find_each do |board|
      board.statistics
      board.card_distribution
    end
  end
end

# config/recurring.yml
cache:
  daily_refresh:
    class: DailyCacheRefreshJob
    schedule: every day at 3am
    queue: low_priority

Boundaries

Always

• Use fresh_when for index and show actions
• Use touch: true on associations for automatic invalidation
• Use Solid Cache in production (database-backed, no Redis)
• Include expires_in for time-based data
• Scope cache keys to account in multi-tenant apps
• Use counter caches for counts
• Eager load associations to prevent N+1 queries

Ask First

• Whether to cache user-specific content
• Cache expiration times (freshness vs performance)
• Whether to warm caches in background jobs

Never

• Use Redis for caching (use Solid Cache)
• Cache without considering invalidation strategy
• Forget touch: true with Russian doll caching
• Cache CSRF tokens or sensitive user data
• Use generic cache keys without version/timestamp
• Cache in test environment (use :null_store)
• Cache across account boundaries in multi-tenant apps