How to efficiently obtain and cache product ranking lists in Redis?

Optimize Redis cache: Efficiently obtain product rankings

Efficiently obtaining and caching product ranking data is a common challenge in application development. This article uses the top 20 products as an example to explore how to optimize the cache strategy using Redis's zset structure. Assume that there is already a zset named product_rank , which stores the product ID and its ranking.

First, use the zrange command to get the first 20 product IDs:

 zrange product_rank 0 19

Next, the key is how to store and access the detailed information corresponding to these product IDs. We analyze two common methods: using string or hash.

Method 1: Use string to store product information

This method converts the product ID as the key and the product details (name, sales, price, etc.) into a JSON string as the value. Suitable for situations where all fields need to be read at once.

 SET product:1 '{"name": "abc", "price": 100, "sales": 500, "rating": 4.5}'

When obtaining product information, just use the product ID to access string.

Method 2: Use hash to store product information

Use hash structure to store product information, store it in key-value pairs, and read specific fields more flexibly. For example, just read the name and sales:

 HMSET product:1 name "abc" price 100 sales 500 rating 4.5

Use the HGET command to read a specific field:

 HGET product:1 name
HGET product:1 sales

Choose the right caching policy

For rankings, you usually only need to cache the information you need to display and operate. Therefore, choosing a cache strategy depends on actual needs: if all fields are needed each time, the string method is more direct; if only some fields are needed, the hash method is more flexible and reduces unnecessary network transmission.

Through the above methods, we can effectively utilize Redis cache product ranking data to significantly improve system performance and response speed.

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