在 Redis 中存储带或不带哈希的键值对
我通过 Redis-py 客户端将键值对存储在 Redis 数据库中。所有的键都是唯一的，没有重复的。这是一个例子：
key = 133735570
value = {"key":133735570,"value":[[141565041,1.2],[22592300,1.0],[162439394,1.0],[19397942,1.0],[79996146,1.0],[84352985,1.0],[123276403,1.0],[18356816,1.0],[113839687,1.0],[16235789,1.0],[144779115,1.0],[94628304,1.0],[134973120,1.0],[138501363,1.0],[34351681,1.0],[80202522,1.0],[81561595,1.0],[18913677,1.0],[130488590,1.0],[128208311,1.0],[93912155,0.5]]}
添加哈希（与键名相同）会提高性能吗？例如，
key = 133735570
hash = 133735570
value = {"key":133735570,"value":[[141565041,1.2],[22592300,1.0],[162439394,1.0],[19397942,1.0],[79996146,1.0],[84352985,1.0],[123276403,1.0],[18356816,1.0],[113839687,1.0],[16235789,1.0],[144779115,1.0],[94628304,1.0],[134973120,1.0],[138501363,1.0],[34351681,1.0],[80202522,1.0],[81561595,1.0],[18913677,1.0],[130488590,1.0],[128208311,1.0],[93912155,0.5]]}
我的要求是查找键以便从中检索相应的值。
I am storing key-value pairs in a Redis database via the Redis-py client. All keys are unique, there are no duplicates. Here's an example :
key = 133735570
value = {"key":133735570,"value":[[141565041,1.2],[22592300,1.0],[162439394,1.0],[19397942,1.0],[79996146,1.0],[84352985,1.0],[123276403,1.0],[18356816,1.0],[113839687,1.0],[16235789,1.0],[144779115,1.0],[94628304,1.0],[134973120,1.0],[138501363,1.0],[34351681,1.0],[80202522,1.0],[81561595,1.0],[18913677,1.0],[130488590,1.0],[128208311,1.0],[93912155,0.5]]}
Would adding a hash (same as the key name) improve performance? For example,
key = 133735570
hash = 133735570
value = {"key":133735570,"value":[[141565041,1.2],[22592300,1.0],[162439394,1.0],[19397942,1.0],[79996146,1.0],[84352985,1.0],[123276403,1.0],[18356816,1.0],[113839687,1.0],[16235789,1.0],[144779115,1.0],[94628304,1.0],[134973120,1.0],[138501363,1.0],[34351681,1.0],[80202522,1.0],[81561595,1.0],[18913677,1.0],[130488590,1.0],[128208311,1.0],[93912155,0.5]]}
My requirement is to look-up keys so as to retrieve the corresponding values from it.
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您可以尝试将键值对（示例中的值部分）存储在 hash 数据结构中（其中密钥对的关键部分将存储为哈希字段，值部分将存储为哈希值，请查看HMSET）；数据操作更加灵活，并且可能比普通值字符串消耗更少的内存。
You can try to store your key-value pairs (value part in your example) within hash data structure (where key part of your pair would be stored as hash field and value part as hash value; check out HMSET) which is more flexible for data manipulation and might consume less memory than plain value strings.