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https://github.com/TryGhost/Ghost.git
synced 2024-11-30 11:54:33 +03:00
Implemented Refresh-Ahead caching for Redis
This updates the AdapterCacheRedis instance to be able to handle updating itself when reading from the cache. For this to work we need to pass a `fetchData` function to the `get` method. In the case of a cache miss, we will read the data via the `fetchData` function, and store it in the cache, before returning the value to the caller. When coupled with a `refreshAheadFactor` config, we will go a step further and implement the "Refresh Ahead" caching strategy. What this means is that we will refresh the contents of the cache in the background, this happens on a cache read and only once the data in the cache has only a certain percentage of the TTL left, which is set as a decimal value between 0 and 1. e.g. ttl = 100s refreshAheadFactor = 0.2; Any read from the cache that happens _after_ 80s will do a background refresh
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@ -17,6 +17,7 @@ class AdapterCacheRedis extends BaseCacheAdapter {
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* @param {Object} [config.clusterConfig] - redis cluster config used in case no cache instance provided
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* @param {Object} [config.storeConfig] - extra redis client config used in case no cache instance provided
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* @param {Number} [config.ttl] - default cached value Time To Live (expiration) in *seconds*
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* @param {Number} [config.refreshAheadFactor] - 0-1 number to use to determine how old (as a percentage of ttl) an entry should be before refreshing it
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* @param {String} [config.keyPrefix] - prefix to use when building a unique cache key, e.g.: 'some_id:image-sizes:'
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* @param {Boolean} [config.reuseConnection] - specifies if the redis store/connection should be reused within the process
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*/
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@ -57,6 +58,9 @@ class AdapterCacheRedis extends BaseCacheAdapter {
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});
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}
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this.ttl = config.ttl;
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this.refreshAheadFactor = config.refreshAheadFactor || 0;
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this.currentlyExecutingBackgroundRefreshes = new Set();
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this.keyPrefix = config.keyPrefix;
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this._keysPattern = config.keyPrefix ? `${config.keyPrefix}*` : '';
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this.redisClient = this.cache.store.getClient();
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@ -134,11 +138,67 @@ class AdapterCacheRedis extends BaseCacheAdapter {
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/**
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*
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* @param {String} key
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* @param {String} internalKey
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*/
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async get(key) {
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async shouldRefresh(internalKey) {
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if (this.refreshAheadFactor === 0) {
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debug(`shouldRefresh ${internalKey}: false - refreshAheadFactor = 0`);
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return false;
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}
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if (this.refreshAheadFactor === 1) {
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debug(`shouldRefresh ${internalKey}: true - refreshAheadFactor = 1`);
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return true;
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}
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try {
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return await this.cache.get(this._buildKey(key));
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const ttlRemainingForEntry = await this.cache.ttl(internalKey);
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const shouldRefresh = ttlRemainingForEntry < this.refreshAheadFactor * this.ttl;
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debug(`shouldRefresh ${internalKey}: ${shouldRefresh} - TTL remaining = ${ttlRemainingForEntry}`);
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return shouldRefresh;
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} catch (err) {
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logging.error(err);
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return false;
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}
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}
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/**
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*
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* @param {string} key
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* @param {() => Promise<any>} [fetchData] An optional function to fetch the data, which will be used in the case of a cache MISS or a background refresh
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*/
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async get(key, fetchData) {
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const internalKey = this._buildKey(key);
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try {
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const result = await this.cache.get(internalKey);
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debug(`get ${internalKey}: Cache ${result ? 'HIT' : 'MISS'}`);
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if (!fetchData) {
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return result;
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}
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if (result) {
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const shouldRefresh = await this.shouldRefresh(internalKey);
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const isRefreshing = this.currentlyExecutingBackgroundRefreshes.has(internalKey);
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if (isRefreshing) {
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debug(`Background refresh already happening for ${internalKey}`);
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}
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if (!isRefreshing && shouldRefresh) {
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debug(`Doing background refresh for ${internalKey}`);
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this.currentlyExecutingBackgroundRefreshes.add(internalKey);
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fetchData().then(async (data) => {
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await this.set(key, data); // We don't use `internalKey` here because `set` handles it
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this.currentlyExecutingBackgroundRefreshes.delete(internalKey);
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}).catch((error) => {
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this.currentlyExecutingBackgroundRefreshes.delete(internalKey);
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logging.error({
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message: 'There was an error refreshing cache data in the background',
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error: error
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});
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});
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}
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return result;
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} else {
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const data = await fetchData();
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await this.set(key, data); // We don't use `internalKey` here because `set` handles it
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return data;
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}
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} catch (err) {
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logging.error(err);
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}
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@ -150,9 +210,10 @@ class AdapterCacheRedis extends BaseCacheAdapter {
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* @param {*} value
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*/
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async set(key, value) {
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debug('set', key);
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const internalKey = this._buildKey(key);
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debug('set', internalKey);
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try {
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return await this.cache.set(this._buildKey(key), value);
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return await this.cache.set(internalKey, value);
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} catch (err) {
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logging.error(err);
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}
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@ -59,6 +59,127 @@ describe('Adapter Cache Redis', function () {
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assert.equal(value, 'value from cache');
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});
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it('can update the cache in the case of a cache miss', async function () {
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const KEY = 'update-cache-on-miss';
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let cachedValue = null;
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const redisCacheInstanceStub = {
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get: function (key) {
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assert(key === KEY);
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return cachedValue;
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},
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set: function (key, value) {
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assert(key === KEY);
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cachedValue = value;
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},
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store: {
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getClient: sinon.stub().returns({
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on: sinon.stub()
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})
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}
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};
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const cache = new RedisCache({
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cache: redisCacheInstanceStub
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});
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const fetchData = sinon.stub().resolves('Da Value');
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checkFirstRead: {
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const value = await cache.get(KEY, fetchData);
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assert.equal(fetchData.callCount, 1);
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assert.equal(value, 'Da Value');
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break checkFirstRead;
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}
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checkSecondRead: {
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const value = await cache.get(KEY, fetchData);
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assert.equal(fetchData.callCount, 1);
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assert.equal(value, 'Da Value');
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break checkSecondRead;
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}
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});
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it('Can do a background update of the cache', async function () {
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const KEY = 'update-cache-in-background';
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let cachedValue = null;
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let remainingTTL = 100;
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const redisCacheInstanceStub = {
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get: function (key) {
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assert(key === KEY);
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return cachedValue;
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},
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set: function (key, value) {
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assert(key === KEY);
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cachedValue = value;
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},
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ttl: function (key) {
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assert(key === KEY);
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return remainingTTL;
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},
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store: {
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getClient: sinon.stub().returns({
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on: sinon.stub()
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})
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}
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};
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const cache = new RedisCache({
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cache: redisCacheInstanceStub,
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ttl: 100,
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refreshAheadFactor: 0.2
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});
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const fetchData = sinon.stub();
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fetchData.onFirstCall().resolves('First Value');
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fetchData.onSecondCall().resolves('Second Value');
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checkFirstRead: {
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const value = await cache.get(KEY, fetchData);
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assert.equal(fetchData.callCount, 1);
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assert.equal(value, 'First Value');
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break checkFirstRead;
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}
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// We simulate having been in the cache for 15 seconds
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remainingTTL = 85;
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checkSecondRead: {
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const value = await cache.get(KEY, fetchData);
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assert.equal(fetchData.callCount, 1);
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assert.equal(value, 'First Value');
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break checkSecondRead;
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}
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// We simulate having been in the cache for 30 seconds
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remainingTTL = 70;
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checkThirdRead: {
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const value = await cache.get(KEY, fetchData);
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assert.equal(fetchData.callCount, 1);
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assert.equal(value, 'First Value');
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break checkThirdRead;
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}
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// We simulate having been in the cache for 85 seconds
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// This should trigger a background refresh
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remainingTTL = 15;
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checkFourthRead: {
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const value = await cache.get(KEY, fetchData);
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assert.equal(fetchData.callCount, 2);
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assert.equal(value, 'First Value');
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break checkFourthRead;
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}
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// We reset the TTL to 100 for the most recent write
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remainingTTL = 100;
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checkFifthRead: {
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const value = await cache.get(KEY, fetchData);
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assert.equal(fetchData.callCount, 2);
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assert.equal(value, 'Second Value');
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break checkFifthRead;
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}
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});
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});
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describe('set', function () {
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@ -238,8 +238,7 @@ const pipeline = (apiController, apiUtils, apiType) => {
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const cacheKey = stringify(cacheKeyData);
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if (apiImpl.cache) {
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const response = await apiImpl.cache.get(cacheKey);
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const response = await apiImpl.cache.get(cacheKey, getResponse);
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if (response) {
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return Promise.resolve(response);
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}
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