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This article shows you how to use hash types in Redis. The content is concise and easy to understand. It will definitely make your eyes shine. I hope you can gain something through the detailed introduction of this article.

Of course, we can also use string types to store, but string types are not intuitive compared to hash types, and they are not easy to update. Because string types are the equivalent of a field in a record in a relational database compared to hash types. However, in actual development, in order to reduce the number of keys in Redis, we usually do not create a key for each field, but save a piece of data or a batch of logical data into a key by serialization, and then update the data by deserialization when updating.

Saving data to a Redis hash type is less of a hassle, since Redis hash types can modify fields directly. In addition, Redis hash type has an advantage over traditional relational databases, which is that Redis hash type can support different keys including different fields. In a traditional relational database, if a new field is added, all records include the new field, even if the record does not use the field. Of course relational databases have the benefits of relational databases, which can do a lot of complex relational queries, and Redis hash types are more difficult at one point.

Below we can intuitively feel the difference between relational database and Redis hash type through the following figure.

That's how hash types are used in Redis. Have you learned anything or learned anything? If you want to learn more skills or enrich your knowledge reserves, please pay attention to the industry information channel.

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