Master Redis: 16 Real-World Patterns for Caching, Locks, and More

1. Caching

String type. Example: hot data cache (e.g., reports, trending items), object cache, full‑page cache, which can improve access speed for frequently accessed data.

2. Distributed Data Sharing

String type, because Redis is a distributed independent service that can be shared across multiple applications.

Example: distributed session.

<code>&lt;dependency&gt;
  &lt;groupId&gt;org.springframework.session&lt;/groupId&gt;
  &lt;artifactId&gt;spring-session-data-redis&lt;/artifactId&gt;
&lt;/dependency&gt;
</code>

3. Distributed Lock

String type setnx method, succeeds only when the key does not exist and returns true.

<code>public static boolean getLock(String key) {
    Long flag = jedis.setnx(key, "1");
    if (flag == 1) {
        jedis.expire(key, 10);
    }
    return flag == 1;
}

public static void releaseLock(String key) {
    jedis.del(key);
}
</code>

4. Global ID

int type, incrby, using atomicity.

Example:

incrby userid 1000

– suitable for sharding scenarios to obtain a range of IDs.

5. Counter

int type, incr method.

Examples: article view count, social media likes; can tolerate some delay by writing to Redis first and syncing to the database later.

6. Rate Limiting

int type, incr method.

Use visitor IP and other information as the key; each request increments the count, and exceeding the limit returns false.

7. Bit Statistics

String type bitcount (bitmap data structure introduced in Redis 1.6.6).

Characters are stored as 8‑bit binary.

<code>set k1 a
setbit k1 6 1
setbit k1 7 0
get k1
/* 6 7 represent bits of 'a' (ASCII 97 = 01100001) */
</code>

Applications: online user statistics, retention statistics.

<code>setbit onlineusers 01
setbit onlineusers 11
setbit onlineusers 20
</code>

Supports bitwise AND, OR, XOR, NOT operations.

<code>BITOPAND destkey key1 key2 ...
BITOPOR destkey key1 key2 ...
BITOPXOR destkey key1 key2 ...
BITOPNOT destkey key
</code>

Example: compute users online for seven consecutive days.

<code>BITOP "AND" "7_days_both_online_users" "day_1_online_users" "day_2_online_users" ... "day_7_online_users"
</code>

8. Shopping Cart

String or hash. All operations possible with strings can be done with hashes.

key: user id; field: product id; value: quantity.

+1: hincr, -1: hdecr, delete: hdel, get all: hgetall, count fields: hlen.

9. User Timeline

list, a doubly linked list, can be used directly as a timeline; insertion keeps order.

10. Message Queue

List provides two blocking pop operations: blpop and brpop, with optional timeout.

blpop key timeout – removes and returns the first element, blocks until an element is available or timeout.

brpop key timeout – removes and returns the last element, blocks similarly.

These correspond to Java's blocking queue. Queue (FIFO): rpush + blpop. Stack (LIFO): rpush + brpop.

11. Lottery

Random value retrieval.

<code>spop myset
</code>

12. Like / Check‑in / Punch‑in

Assume a post ID t1001 and a user ID u3001.

Use

like:t1001

to store all users who liked the post.

sadd like:t1001 u3001 – like

srem like:t1001 u3001 – unlike

sismember like:t1001 u3001 – check like

smembers like:t1001 – list all likers

scard like:t1001 – count likes

13. Product Tags

Maintain product tags with

tags:i5001

.

sadd tags:i5001 "clear picture"

sadd tags:i5001 "true color display"

sadd tags:i5001 "excellent workflow"

14. Product Filtering

<code>// Get difference
sdiff set1 set2
// Get intersection
sinter set1 set2
// Get union
sunion set1 set2
</code>

Example: iPhone11 released.

<code>sadd brand:apple iPhone11
sadd brand:ios iPhone11
sad screensize:6.0-6.24 iPhone11
sad screentype:lcd iPhone11
</code>

Filter products that are Apple, iOS, screen size 6.0‑6.24, and LCD.

<code>sinter brand:apple brand:ios screensize:6.0-6.24 screentype:lcd
</code>

15. Follow / Recommendation Model

follow – following, fans – followers.

Mutual follow:

sadd 1:follow 2

sadd 2:fans 1

sadd 1:fans 2

sadd 2:follow 1

People I follow also follow them (intersection):

sinter 1:follow 2:fans

Potential acquaintances (difference):

sdiff 2:follow 1:follow

sdiff 1:follow 2:follow

16. Ranking

Increment news click count:

zincrby hotNews:20190926 1 n6001

Get top 15 items for today:

zrevrange hotNews:20190926 0 15 withscores