cachified

🧙 One API to cache them all

wrap virtually everything that can store by key to act as cache with ttl/max-age, stale-while-validate, parallel fetch protection and type-safety support

🤔 Idea and 💻 initial implementation by @kentcdodds 👏💜

Install

npm install cachified
# yarn add cachified

Usage

import { LRUCache } from 'lru-cache';
import { cachified, CacheEntry } from 'cachified';

/* lru cache is not part of this package but a simple non-persistent cache */
const lru = new LRUCache<string, CacheEntry>({ max: 1000 });

function getUserById(userId: number) {
  return cachified({
    key: `user-${userId}`,
    cache: lru,
    async getFreshValue() {
      /* Normally we want to either use a type-safe API or `checkValue` but
         to keep this example simple we work with `any` */
      const response = await fetch(
        `https://jsonplaceholder.typicode.com/users/${userId}`,
      );
      return response.json();
    },
    /* 5 minutes until cache gets invalid
     * Optional, defaults to Infinity */
    ttl: 300_000,
  });
}

// Let's get through some calls of `getUserById`:

console.log(await getUserById(1));
// > logs the user with ID 1
// Cache was empty, `getFreshValue` got invoked and fetched the user-data that
// is now cached for 5 minutes

// 2 minutes later
console.log(await getUserById(1));
// > logs the exact same user-data
// Cache was filled an valid. `getFreshValue` was not invoked

// 10 minutes later
console.log(await getUserById(1));
// > logs the user with ID 1 that might have updated fields
// Cache timed out, `getFreshValue` got invoked to fetch a fresh copy of the user
// that now replaces current cache entry and is cached for 5 minutes

Options

interface CachifiedOptions<Value> {
  /**
   * Required
   *
   * The key this value is cached by
   * Must be unique for each value
   */
  key: string;
  /**
   * Required
   *
   * Cache implementation to use
   *
   * Must conform with signature
   *  - set(key: string, value: object): void | Promise<void>
   *  - get(key: string): object | Promise<object>
   *  - delete(key: string): void | Promise<void>
   */
  cache: Cache;
  /**
   * Required
   *
   * Function that is called when no valid value is in cache for given key
   * Basically what we would do if we wouldn't use a cache
   *
   * Can be async and must return fresh value or throw
   *
   * receives context object as argument
   *  - context.metadata.ttl?: number
   *  - context.metadata.swr?: number
   *  - context.metadata.createdTime: number
   *  - context.background: boolean
   */
  getFreshValue: GetFreshValue<Value>;
  /**
   * Time To Live; often also referred to as max age
   *
   * Amount of milliseconds the value should stay in cache
   * before we get a fresh one
   *
   * Setting any negative value will disable caching
   * Can be infinite
   *
   * Default: `Infinity`
   */
  ttl?: number;
  /**
   * Amount of milliseconds that a value with exceeded ttl is still returned
   * while a fresh value is refreshed in the background
   *
   * Should be positive, can be infinite
   *
   * Default: `0`
   */
  staleWhileRevalidate?: number;
  /**
   * Alias for staleWhileRevalidate
   */
  swr?: number;
  /**
   * Validator that checks every cached and fresh value to ensure type safety
   *
   * Can be a zod schema or a custom validator function
   *
   * Value considered ok when:
   *  - zod schema.parseAsync succeeds
   *  - validator returns
   *    - true
   *    - migrate(newValue)
   *    - undefined
   *    - null
   *
   * Value considered bad when:
   *  - zod schema.parseAsync throws
   *  - validator:
   *    - returns false
   *    - returns reason as string
   *    - throws
   *
   * A validator function receives two arguments:
   *  1. the value
   *  2. a migrate callback, see https://github.com/Xiphe/cachified#migrating-values
   *
   * Default: `undefined` - no validation
   */
  checkValue?: CheckValue<Value> | Schema<Value, unknown>;
  /**
   * Set true to not even try reading the currently cached value
   *
   * Will write new value to cache even when cached value is
   * still valid.
   *
   * Default: `false`
   */
  forceFresh?: boolean;
  /**
   * Whether or not to fall back to cache when getting a forced fresh value
   * fails
   *
   * Can also be a positive number as the maximum age in milliseconds that a
   * fallback value might have
   *
   * Default: `Infinity`
   */
  fallbackToCache?: boolean | number;
  /**
   * Amount of time in milliseconds before revalidation of a stale
   * cache entry is started
   *
   * Must be positive and finite
   *
   * Default: `0`
   */
  staleRefreshTimeout?: number;
  /**
   * A reporter receives events during the runtime of
   * cachified and can be used for debugging and monitoring
   *
   * Default: `undefined` - no reporting
   */
  reporter?: CreateReporter<Value>;
}

Adapters

There are some build-in adapters for common caches, using them makes sure the used caches cleanup outdated values themselves.

Adapter for lru-cache

import { LRUCache } from 'lru-cache';
import { cachified, lruCacheAdapter, CacheEntry } from 'cachified';

const lru = new LRUCache<string, CacheEntry>({ max: 1000 });
const cache = lruCacheAdapter(lru);

await cachified({
  cache,
  key: 'user-1',
  getFreshValue() {
    return '[email protected]';
  },
});

Adapter for redis

import { createClient } from 'redis';
import { cachified, redisCacheAdapter } from 'cachified';

const redis = createClient({
  /* ...opts */
});
const cache = redisCacheAdapter(redis);

await cachified({
  cache,
  key: 'user-1',
  getFreshValue() {
    return '[email protected]';
  },
});

Adapter for redis@3

import { createClient } from 'redis';
import { cachified, redis3CacheAdapter } from 'cachified';

const redis = createClient({
  /* ...opts */
});
const cache = redis3CacheAdapter(redis);

const data = await cachified({
  cache,
  key: 'user-1',
  getFreshValue() {
    return '[email protected]';
  },
});

Advanced Usage

Stale while revalidate

Specify a time window in which a cached value is returned even though it's ttl is exceeded while the cache is updated in the background for the next call.

import { cachified } from 'cachified';

const cache = new Map();

function getUserById(userId: number) {
  return cachified({
    ttl: 120_000 /* Two minutes */,
    staleWhileRevalidate: 300_000 /* Five minutes */,

    cache,
    key: `user-${userId}`,
    async getFreshValue() {
      const response = await fetch(
        `https://jsonplaceholder.typicode.com/users/${userId}`,
      );
      return response.json();
    },
  });
}

console.log(await getUserById(1));
// > logs the user with ID 1
// Cache is empty, `getFreshValue` gets invoked and and its value returned and
// cached for 7 minutes total. After 2 minutes the cache will start refreshing in background

// 30 seconds later
console.log(await getUserById(1));
// > logs the exact same user-data
// Cache is filled an valid. `getFreshValue` is not invoked, cached value is returned

// 4 minutes later
console.log(await getUserById(1));
// > logs the exact same user-data
// Cache timed out but stale while revalidate is not exceeded.
// cached value is returned immediately, `getFreshValue` gets invoked in the
// background and its value is cached for the next 7 minutes

// 30 seconds later
console.log(await getUserById(1));
// > logs fresh user-data from the previous call
// Cache is filled an valid. `getFreshValue` is not invoked, cached value is returned

Forcing fresh values and falling back to cache

We can use forceFresh to get a fresh value regardless of the values ttl or stale while validate

import { cachified } from 'cachified';

const cache = new Map();

function getUserById(userId: number, forceFresh?: boolean) {
  return cachified({
    forceFresh,
    /* when getting a forced fresh value fails we fall back to cached value
       as long as it's not older then 5 minutes */
    fallbackToCache: 300_000 /* 5 minutes, defaults to Infinity */,

    cache,
    key: `user-${userId}`,
    async getFreshValue() {
      const response = await fetch(
        `https://jsonplaceholder.typicode.com/users/${userId}`,
      );
      return response.json();
    },
  });
}

console.log(await getUserById(1));
// > logs the user with ID 1
// Cache is empty, `getFreshValue` gets invoked and and its value returned

console.log(await getUserById(1, true));
// > logs fresh user with ID 1
// Cache is filled an valid. but we forced a fresh value, so `getFreshValue` is invoked

Type-safety

In practice we can not be entirely sure that values from cache are of the types we assume. For example other parties could also write to the cache or code is changed while cache stays the same.

import { cachified, createCacheEntry } from 'cachified';

const cache = new Map();

/* Assume something bad happened and we have an invalid cache entry... */
cache.set('user-1', createCacheEntry('INVALID') as any);

function getUserById(userId: number) {
  return cachified({
    checkValue(value: unknown) {
      if (!isRecord(value)) {
        /* We can either throw to indicate a bad value */
        throw new Error(`Expected user to be object, got ${typeof value}`);
      }

      if (typeof value.email !== 'string') {
        /* Or return a reason/message string */
        return `Expected user-${userId} to have an email`;
      }

      if (typeof value.username !== 'string') {
        /* Or just say no... */
        return false;
      }

      /* undefined, true or null are considered OK */
    },

    cache,
    key: `user-${userId}`,
    async getFreshValue() {
      const response = await fetch(
        `https://jsonplaceholder.typicode.com/users/${userId}`,
      );
      return response.json();
    },
  });
}

function isRecord(value: unknown): value is Record<string, unknown> {
  return typeof value === 'object' && value !== null && !Array.isArray(value);
}

console.log(await getUserById(1));
// > logs the user with ID 1
// Cache was not empty but value was invalid, `getFreshValue` got invoked and
// and the cache was updated

console.log(await getUserById(1));
// > logs the exact same data as above
// Cache was filled an valid. `getFreshValue` was not invoked

ℹ️ checkValue is also invoked with the return value of getFreshValue

Type-safety with zod

We can also use zod schemas to ensure correct types

import { cachified, createCacheEntry } from 'cachified';
import z from 'zod';

const cache = new Map();
/* Assume something bad happened and we have an invalid cache entry... */
cache.set('user-1', createCacheEntry('INVALID') as any);

function getUserById(userId: number) {
  return cachified({
    checkValue: z.object({
      email: z.string(),
    }),

    cache,
    key: `user-${userId}`,
    async getFreshValue() {
      const response = await fetch(
        `https://jsonplaceholder.typicode.com/users/${userId}`,
      );
      return response.json();
    },
  });
}

console.log(await getUserById(1));
// > logs the user with ID 1
// Cache was not empty but value was invalid, `getFreshValue` got invoked and
// and the cache was updated

console.log(await getUserById(1));
// > logs the exact same data as above
// Cache was filled an valid. `getFreshValue` was not invoked

Manually working with the cache

During normal app lifecycle there usually is no need for this but for maintenance and testing these helpers might come handy.

import { createCacheEntry, assertCacheEntry, cachified } from 'cachified';

const cache = new Map();

/* Manually set an entry to cache */
cache.set(
  'user-1',
  createCacheEntry(
    '[email protected]',
    /* Optional CacheMetadata */
    { ttl: 300_000, swr: Infinity },
  ),
);

/* Receive the value with cachified */
const value: string = await cachified({
  cache,
  key: 'user-1',
  getFreshValue() {
    throw new Error('This is not called since cache is set earlier');
  },
});
console.log(value);
// > logs "[email protected]"

/* Manually get a value from cache */
const entry: unknown = cache.get('user-1');
assertCacheEntry(entry); // will throw when entry is not a valid CacheEntry
console.log(entry.value);
// > logs "[email protected]"

/* Manually remove an entry from cache */
cache.delete('user-1');

Migrating Values

When the format of cached values is changed during the apps lifetime they can be migrated on read like this:

import { cachified, createCacheEntry } from 'cachified';

const cache = new Map();

/* Let's assume we've previously only stored emails not user objects */
cache.set('user-1', createCacheEntry('[email protected]'));

function getUserById(userId: number) {
  return cachified({
    checkValue(value, migrate) {
      if (typeof value === 'string') {
        return migrate({ email: value });
      }
      /* other validations... */
    },

    key: 'user-1',
    cache,
    getFreshValue() {
      throw new Error('This is never called');
    },
  });
}

console.log(await getUserById(1));
// > logs { email: '[email protected]' }
// Cache is filled and invalid but value can be migrated from email to user-object
// `getFreshValue` is not invoked

console.log(await getUserById(1));
// > logs the exact same data as above
// Cache is filled an valid.

Soft-purging entries

Soft-purging cached data has the benefit of not immediately putting pressure on the app to update all cached values at once and instead allows to get them updated over time.

More details: Soft vs. hard purge

import { cachified, softPurge } from 'cachified';

const cache = new Map();

function getUserById(userId: number) {
  return cachified({
    cache,
    key: `user-${userId}`,
    ttl: 300_000,
    async getFreshValue() {
      const response = await fetch(
        `https://jsonplaceholder.typicode.com/users/${userId}`,
      );
      return response.json();
    },
  });
}

console.log(await getUserById(1));
// > logs user with ID 1
// cache was empty, fresh value was requested and is cached for 5 minutes

await softPurge({
  cache,
  key: 'user-1',
});
// This internally sets the ttl to 0 and staleWhileRevalidate to 300_000

// 10 seconds later
console.log(await getUserById(1));
// > logs the outdated, soft-purged data
// cache has been soft-purged, the cached value got returned and a fresh value
// is requested in the background and again cached for 5 minutes

// 1 minute later
console.log(await getUserById(1));
// > logs the fresh data that got refreshed by the previous call

await softPurge({
  cache,
  key: 'user-1',
  // manually overwrite how long the stale data should stay in cache
  staleWhileRevalidate: 60_000 /* one minute from now on */,
});

// 2 minutes later
console.log(await getUserById(1));
// > logs completely fresh data

ℹ️ In case we need to fully purge the value, we delete the key directly from our cache

Fine-tuning cache metadata based on fresh values

There are scenarios where we want to change the cache time based on the fresh value (ref #25). For example when an API might either provide our data or null and in case we get an empty result we want to retry the API much faster.

import { cachified } from 'cachified';

const cache = new Map();

const value: null | string = await cachified({
  ttl: 60_000 /* Default cache of one minute... */,
  async getFreshValue(context) {
    const response = await fetch(
      `https://jsonplaceholder.typicode.com/users/1`,
    );
    const data = await response.json();

    if (data === null) {
      /* On an empty result, prevent caching */
      context.metadata.ttl = -1;
    }

    return data;
  },

  cache,
  key: 'user-1',
});

Batch requesting values

In case multiple values can be requested in a batch action, but it's not clear which values are currently in cache we can use the createBatch helper

import { cachified, createBatch } from 'cachified';

const cache = new Map();

async function getFreshValues(idsThatAreNotInCache: number[]) {
  const res = await fetch(
    `https://example.org/api?ids=${idsThatAreNotInCache.join(',')}`,
  );
  const data = await res.json();

  // Validate data here...

  return data;
}

function getUsersWithId(ids: number[]) {
  const batch = createBatch(getFreshValues);

  return Promise.all(
    ids.map((id) =>
      cachified({
        getFreshValue: batch.add(
          id,
          /* onValue callback is optional but can be used to manipulate
           * cache metadata based on the received value. (see section above) */
          ({ value, ...context }) => {},
        ),

        cache,
        key: `entry-${id}`,
        ttl: 60_000,
      }),
    ),
  );
}

console.log(await getUsersWithId([1, 2]));
// > logs user objects for ID 1 & ID 2
// Caches is completely empty. `getFreshValues` is invoked with `[1, 2]`
// and its return values cached separately

// 1 minute later
console.log(await getUsersWithId([2, 3]));
// > logs user objects for ID 2 & ID 3
// User with ID 2 is in cache, `getFreshValues` is invoked with `[3]`
// cachified returns with one value from cache and one fresh value

Reporting

A reporter might be passed to cachified to log caching events, we ship a reporter resembling the logging from Kents implementation

import { cachified, verboseReporter } from 'cachified';

const cache = new Map();

await cachified({
  reporter: verboseReporter(),

  cache,
  key: 'user-1',
  async getFreshValue() {
    const response = await fetch(
      `https://jsonplaceholder.typicode.com/users/1`,
    );
    return response.json();
  },
});

please refer to the implementation of verboseReporter when you want to implement a custom reporter.

Xiphe/cachified

Xiphe

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