AP

apollo-caching-strategies

Guides implementation of Apollo Client caching mechanisms to optimize data fetching and state management.

Install

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Activation

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Use when implementing Apollo caching strategies including cache policies, optimistic UI, cache updates, and normalization.
122 chars✓ has a “when” trigger
Advanced

Key capabilities

  • Configure InMemoryCache with type policies for pagination
  • Implement optimistic UI updates for perceived performance
  • Read and write data directly to the cache
  • Define custom merge functions for fields like comments
  • Use different fetch policies for data retrieval
  • Normalize GraphQL cache data using keyFields

How it works

Apollo Client's in-memory cache stores and manages GraphQL data, allowing for efficient data fetching and updates based on configured policies and normalization rules.

Inputs & outputs

You give it
GraphQL query or mutation, cache configuration
You get back
Cached data, updated UI state, network requests

When to use apollo-caching-strategies

  • Configure Apollo cache policies
  • Implement optimistic UI updates
  • Normalize GraphQL cache data

About this skill

Apollo Caching Strategies

Master Apollo Client's caching mechanisms for building performant applications with optimal data fetching and state management strategies.

Overview

Apollo Client's intelligent cache is a normalized, in-memory data store that allows for efficient data fetching and updates. Understanding cache policies and management strategies is crucial for building high-performance apps.

Installation and Setup

Cache Configuration

// apollo/cache.js
import { InMemoryCache, makeVar } from '@apollo/client';

export const cache = new InMemoryCache({
  typePolicies: {
    Query: {
      fields: {
        posts: {
          // Pagination with offset
          keyArgs: ['filter'],
          merge(existing = [], incoming, { args }) {
            const merged = existing.slice(0);
            const offset = args?.offset || 0;

            for (let i = 0; i < incoming.length; i++) {
              merged[offset + i] = incoming[i];
            }

            return merged;
          }
        }
      }
    },
    Post: {
      keyFields: ['id'],
      fields: {
        comments: {
          merge(existing = [], incoming) {
            return [...existing, ...incoming];
          }
        }
      }
    },
    User: {
      keyFields: ['email'],
      fields: {
        fullName: {
          read(_, { readField }) {
            return `${readField('firstName')} ${readField('lastName')}`;
          }
        }
      }
    }
  }
});

Core Patterns

1. Fetch Policies

// Different fetch policies for different use cases
import { useQuery } from '@apollo/client';
import { GET_POSTS } from './queries';

// cache-first (default): Check cache first, network if not found
function CacheFirstPosts() {
  const { data } = useQuery(GET_POSTS, {
    fetchPolicy: 'cache-first'
  });
  return <PostsList posts={data?.posts} />;
}

// cache-only: Never make network request, cache or error
function CacheOnlyPosts() {
  const { data } = useQuery(GET_POSTS, {
    fetchPolicy: 'cache-only'
  });
  return <PostsList posts={data?.posts} />;
}

// cache-and-network: Return cache immediately, update with network
function CacheAndNetworkPosts() {
  const { data, loading, networkStatus } = useQuery(GET_POSTS, {
    fetchPolicy: 'cache-and-network',
    notifyOnNetworkStatusChange: true
  });

  return (
    <div>
      {networkStatus === 1 && <Spinner />}
      <PostsList posts={data?.posts} />
    </div>
  );
}

// network-only: Always make network request, update cache
function NetworkOnlyPosts() {
  const { data } = useQuery(GET_POSTS, {
    fetchPolicy: 'network-only'
  });
  return <PostsList posts={data?.posts} />;
}

// no-cache: Always make network request, don't update cache
function NoCachePosts() {
  const { data } = useQuery(GET_POSTS, {
    fetchPolicy: 'no-cache'
  });
  return <PostsList posts={data?.posts} />;
}

// standby: Like cache-first but doesn't auto-update
function StandbyPosts() {
  const { data, refetch } = useQuery(GET_POSTS, {
    fetchPolicy: 'standby'
  });

  return (
    <div>
      <button onClick={() => refetch()}>Refresh</button>
      <PostsList posts={data?.posts} />
    </div>
  );
}

2. Cache Reads and Writes

// apollo/cacheOperations.js
import { gql } from '@apollo/client';

// Read from cache
export function readPostFromCache(client, postId) {
  try {
    const data = client.readQuery({
      query: gql`
        query GetPost($id: ID!) {
          post(id: $id) {
            id
            title
            body
          }
        }
      `,
      variables: { id: postId }
    });
    return data?.post;
  } catch (error) {
    console.error('Post not in cache:', error);
    return null;
  }
}

// Write to cache
export function writePostToCache(client, post) {
  client.writeQuery({
    query: gql`
      query GetPost($id: ID!) {
        post(id: $id) {
          id
          title
          body
        }
      }
    `,
    variables: { id: post.id },
    data: { post }
  });
}

// Read fragment
export function readPostFragment(client, postId) {
  return client.readFragment({
    id: `Post:${postId}`,
    fragment: gql`
      fragment PostFields on Post {
        id
        title
        body
        likesCount
      }
    `
  });
}

// Write fragment
export function updatePostLikes(client, postId, likesCount) {
  client.writeFragment({
    id: `Post:${postId}`,
    fragment: gql`
      fragment PostLikes on Post {
        likesCount
      }
    `,
    data: {
      likesCount
    }
  });
}

// Modify cache fields
export function incrementPostLikes(client, postId) {
  client.cache.modify({
    id: client.cache.identify({ __typename: 'Post', id: postId }),
    fields: {
      likesCount(currentCount = 0) {
        return currentCount + 1;
      },
      isLiked() {
        return true;
      }
    }
  });
}

3. Optimistic Updates

// components/OptimisticLike.js
import { useMutation } from '@apollo/client';
import { LIKE_POST } from '../mutations';

function OptimisticLike({ post }) {
  const [likePost] = useMutation(LIKE_POST, {
    variables: { postId: post.id },

    // Optimistic response
    optimisticResponse: {
      __typename: 'Mutation',
      likePost: {
        __typename: 'Post',
        id: post.id,
        likesCount: post.likesCount + 1,
        isLiked: true
      }
    },

    // Update cache
    update(cache, { data: { likePost } }) {
      cache.modify({
        id: cache.identify(post),
        fields: {
          likesCount() {
            return likePost.likesCount;
          },
          isLiked() {
            return likePost.isLiked;
          }
        }
      });
    },

    // Handle errors
    onError(error) {
      console.error('Like failed, reverting:', error);
      // Optimistic update automatically reverted
    }
  });

  return (
    <button onClick={() => likePost()}>
      {post.isLiked ? 'Unlike' : 'Like'} ({post.likesCount})
    </button>
  );
}

// Complex optimistic update with multiple changes
function OptimisticCreateComment({ postId }) {
  const [createComment] = useMutation(CREATE_COMMENT, {
    optimisticResponse: ({ body }) => ({
      __typename: 'Mutation',
      createComment: {
        __typename: 'Comment',
        id: `temp-${Date.now()}`,
        body,
        createdAt: new Date().toISOString(),
        author: {
          __typename: 'User',
          id: currentUser.id,
          name: currentUser.name,
          avatar: currentUser.avatar
        }
      }
    }),

    update(cache, { data: { createComment } }) {
      // Add comment to post
      cache.modify({
        id: cache.identify({ __typename: 'Post', id: postId }),
        fields: {
          comments(existing = []) {
            const newCommentRef = cache.writeFragment({
              data: createComment,
              fragment: gql`
                fragment NewComment on Comment {
                  id
                  body
                  createdAt
                  author {
                    id
                    name
                    avatar
                  }
                }
              `
            });
            return [...existing, newCommentRef];
          },
          commentsCount(count = 0) {
            return count + 1;
          }
        }
      });
    }
  });

  return <CommentForm onSubmit={createComment} />;
}

4. Cache Eviction

// apollo/eviction.js
export function evictPost(client, postId) {
  // Evict specific post
  client.cache.evict({
    id: client.cache.identify({ __typename: 'Post', id: postId })
  });

  // Garbage collect
  client.cache.gc();
}

export function evictField(client, postId, fieldName) {
  // Evict specific field
  client.cache.evict({
    id: client.cache.identify({ __typename: 'Post', id: postId }),
    fieldName
  });
}

export function evictAllPosts(client) {
  // Evict all posts from cache
  client.cache.modify({
    fields: {
      posts(existing, { DELETE }) {
        return DELETE;
      }
    }
  });

  client.cache.gc();
}

// Usage in delete mutation
function DeletePost({ postId }) {
  const [deletePost] = useMutation(DELETE_POST, {
    variables: { id: postId },

    update(cache) {
      // Remove from posts list
      cache.modify({
        fields: {
          posts(existingPosts = [], { readField }) {
            return existingPosts.filter(
              ref => postId !== readField('id', ref)
            );
          }
        }
      });

      // Evict post and related data
      cache.evict({ id: cache.identify({ __typename: 'Post', id: postId }) });
      cache.gc();
    }
  });

  return <button onClick={() => deletePost()}>Delete</button>;
}

5. Reactive Variables

// apollo/reactiveVars.js
import { makeVar, useReactiveVar } from '@apollo/client';

// Create reactive variables
export const cartItemsVar = makeVar([]);
export const themeVar = makeVar('light');
export const isModalOpenVar = makeVar(false);
export const notificationsVar = makeVar([]);

// Helper functions
export function addToCart(item) {
  const cart = cartItemsVar();
  cartItemsVar([...cart, item]);
}

export function removeFromCart(itemId) {
  const cart = cartItemsVar();
  cartItemsVar(cart.filter(item => item.id !== itemId));
}

export function clearCart() {
  cartItemsVar([]);
}

export function toggleTheme() {
  const current = themeVar();
  themeVar(current === 'light' ? 'dark' : 'light');
}

export function addNotification(notification) {
  const notifications = notificationsVar();
  notificationsVar([...notifications, {
    id: Date.now(),
    ...notification
  }]);
}

// React component usage
function Cart() {
  const cartItems = useReactiveVar(cartItemsVar);

  return (
    <div>
      <h2>Cart ({cartItems.length})</h2>
      {cartItems.map(item => (
        <div key={item.id}>
          {item.name}
          <button onClick={() => removeFromCart(item.id)}>Remove</button>
        </di

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*Content truncated.*

When not to use it

  • When real-time data requires bypassing the cache entirely
  • When the application does not use Apollo Client for data fetching
  • When data freshness needs are not met by available fetch policies

Limitations

  • Cache configuration requires explicit type policies and keyFields definitions
  • Incorrect merge logic can lead to cache inconsistencies
  • Over-caching or memory leaks can occur if not managed properly

How it compares

This skill standardizes Apollo Client's caching mechanisms, providing patterns for managing data fetching and state, unlike manual data handling that lacks built-in normalization and optimistic UI support.

Compared to similar skills

apollo-caching-strategies side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
apollo-caching-strategies (this skill)03moReviewAdvanced
graphql66moNo flagsAdvanced
graphql-architect14moNo flagsAdvanced
api-design-principles722moNo flagsIntermediate

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