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Expressframework~10 mins

Redis integration for distributed cache in Express - Interactive Code Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to import the Redis client library.

Express
const redis = require('[1]');
Drag options to blanks, or click blank then click option'
Aredis
Bexpress
Chttp
Dfs
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'express' or other unrelated packages instead of 'redis'.
Forgetting to install the redis package before importing.
2fill in blank
medium

Complete the code to create a Redis client instance.

Express
const client = redis.createClient({ url: '[1]' });
Drag options to blanks, or click blank then click option'
Ahttp://localhost:6379
Bftp://localhost:6379
Credis://localhost:6379
Dlocalhost:6379
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'http://' instead of 'redis://'.
Omitting the protocol prefix entirely.
3fill in blank
hard

Fix the error in the code to connect the Redis client asynchronously.

Express
await client.[1]();
Drag options to blanks, or click blank then click option'
Aconnect
Bstart
Copen
Dinit
Attempts:
3 left
💡 Hint
Common Mistakes
Using non-existent methods like 'start' or 'open'.
Not awaiting the asynchronous connect call.
4fill in blank
hard

Fill both blanks to set a key with expiration in Redis.

Express
await client.[1]('user:123', 'John Doe', { EX: [2] });
Drag options to blanks, or click blank then click option'
Aset
B3600
Cdel
Dexpire
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'get' or 'del' instead of 'set' to store data.
Confusing expiration time with milliseconds or other units.
5fill in blank
hard

Fill all three blanks to retrieve a cached value and handle missing keys.

Express
const value = await client.[1]('user:123');
if (value === [2]) {
  console.log([3]);
}
Drag options to blanks, or click blank then click option'
Aset
Bget
Cnull
D'Cache miss'
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'set' instead of 'get' to retrieve data.
Checking for undefined instead of null.
Not handling the cache miss case.

Practice

(1/5)
1. What is the main benefit of integrating Redis as a distributed cache in an Express application?
easy
A. It speeds up data access by storing shared data in memory across servers.
B. It replaces the need for a database entirely.
C. It automatically scales the Express server instances.
D. It provides a user interface for managing Express routes.

Solution

  1. Step 1: Understand Redis role in caching

    Redis stores data in memory, making data access very fast compared to disk-based storage.
  2. Step 2: Recognize distributed cache benefit

    Redis can be shared across multiple servers, so all Express instances access the same cached data, improving speed and consistency.
  3. Final Answer:

    It speeds up data access by storing shared data in memory across servers. -> Option A
  4. Quick Check:

    Redis cache = fast shared data [OK]
Hint: Redis caches shared data in memory for speed [OK]
Common Mistakes:
  • Thinking Redis replaces the database
  • Confusing Redis with server scaling tool
  • Assuming Redis manages Express routes
2. Which of the following is the correct way to create a Redis client in an Express app using the latest redis package?
easy
A. const client = new Redis(); client.start();
B. const client = redis.createClient(); client.connect();
C. const client = redis.connectClient();
D. const client = redis.create(); client.open();

Solution

  1. Step 1: Recall redis package usage

    The modern redis package uses createClient() to create a client instance.
  2. Step 2: Connect the client

    After creating, you must call client.connect() to establish connection asynchronously.
  3. Final Answer:

    const client = redis.createClient(); client.connect(); -> Option B
  4. Quick Check:

    createClient + connect = correct syntax [OK]
Hint: Use createClient() then connect() to start Redis client [OK]
Common Mistakes:
  • Using non-existent methods like start() or open()
  • Calling connectClient() which does not exist
  • Instantiating Redis with new Redis() incorrectly
3. Given this Express route using Redis cache:
app.get('/data', async (req, res) => {
  const cacheKey = 'myData';
  const cached = await client.get(cacheKey);
  if (cached) return res.send(JSON.parse(cached));
  const data = { value: 42 };
  await client.set(cacheKey, JSON.stringify(data), { EX: 10 });
  res.send(data);
});

What happens when you call /data twice within 10 seconds?
medium
A. The first call stores data in cache, second call returns cached data.
B. The first call fetches from cache, second call fetches fresh data.
C. Both calls fetch fresh data and store it in cache.
D. Both calls return cached data without storing anything.

Solution

  1. Step 1: Analyze first call behavior

    On first call, cache is empty, so data is created and stored with 10 seconds expiration.
  2. Step 2: Analyze second call within 10 seconds

    Second call finds cached data and returns it directly without recreating or resetting cache.
  3. Final Answer:

    The first call stores data in cache, second call returns cached data. -> Option A
  4. Quick Check:

    Cache empty first, then hit cache [OK]
Hint: First call caches, second call uses cache within expiry [OK]
Common Mistakes:
  • Assuming cache is refreshed on every call
  • Thinking cache is never used
  • Ignoring expiration time effect
4. Consider this Express code snippet using Redis:
app.get('/count', async (req, res) => {
  const count = await client.get('count');
  const newCount = count + 1;
  await client.set('count', newCount);
  res.send({ count: newCount });
});

What issue will occur when this route is called?
medium
A. SyntaxError due to incorrect async function syntax.
B. ReferenceError because client is not defined.
C. count is a string from Redis, so count + 1 performs string concatenation instead of numeric addition.
D. No error; the count increments correctly.

Solution

  1. Step 1: Identify data type of count

    Redis stores values as strings, so count is a string when retrieved (null on first call).
  2. Step 2: Analyze addition operation

    Adding number 1 to a string (after first call) results in string concatenation (e.g., "1" + 1 = "11").
  3. Step 3: Predict issue

    This causes incorrect count values like 1, "11", "111", etc., instead of proper increments 1, 2, 3.
  4. Final Answer:

    count is a string from Redis, so count + 1 performs string concatenation instead of numeric addition. -> Option C
  5. Quick Check:

    String + number without conversion = concatenation [OK]
Hint: Convert Redis string to number before adding [OK]
Common Mistakes:
  • Assuming Redis returns numbers directly
  • Ignoring async/await correctness
  • Thinking no error occurs
5. You want to cache user profile data in Redis with a 5-minute expiration in an Express app. Which code snippet correctly sets the cache with expiration and handles errors properly?
hard
A. client.set('user:123', JSON.stringify(profile)); setTimeout(() => client.del('user:123'), 300000);
B. client.set('user:123', JSON.stringify(profile), 300); console.log('Cache set');
C. await client.set('user:123', profile, { expire: 300 });
D. try { await client.set('user:123', JSON.stringify(profile), { EX: 300 }); } catch (err) { console.error('Cache error:', err); }

Solution

  1. Step 1: Use correct Redis set syntax with expiration

    The redis client set method accepts options with EX for expiration in seconds, so { EX: 300 } is correct.
  2. Step 2: Handle errors with try-catch

    Since set is async, wrapping in try-catch ensures errors are caught and logged properly.
  3. Step 3: Check other options for mistakes

    client.set('user:123', JSON.stringify(profile), 300); console.log('Cache set'); misses async/await and uses wrong expiration argument; C uses wrong option key; D manually deletes cache but is less efficient.
  4. Final Answer:

    try { await client.set('user:123', JSON.stringify(profile), { EX: 300 }); } catch (err) { console.error('Cache error:', err); } -> Option D
  5. Quick Check:

    set with EX + try-catch = correct [OK]
Hint: Use { EX: seconds } option and try-catch for errors [OK]
Common Mistakes:
  • Passing expiration as a separate argument
  • Not stringifying objects before caching
  • Ignoring async error handling
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