Shulou(Shulou.com)05/31 Report--

In this issue, the editor will bring you about how to improve database query performance in Redis cache. The article is rich in content and analyzed and described from a professional point of view. I hope you can get something after reading this article.

Because Redis has the ability to read and write data quickly in data storage, it has a performance advantage over relational databases. However, key value data storage is simple; they do not have a query language similar to SQL or a structured data model. Instead, they have a simple dictionary or hash pattern that uses key values as numeric-related identifiers. Administrators use these keys for numerical storage and retrieval.

Key-value storage is simple and fast, and it can be used to achieve a good match between rich data models and relational database query functions. However, sometimes it is better to use a combination of key values and relational databases. In addition, there are many commercially supported key-value databases, including Redis, Riak, and Areospike.

To run a Redis cache that optimizes the performance of popular queries, you should first determine the query results you want to cache. Among them, focus on the most commonly used and time-consuming queries, and then determine that the data in the query should be buffered. For simplicity, cache all column values returned by the query.

Define a naming convention for key values; you can use a combination of row primary keys and column names to construct keys. For example, a product description with a primary key ID of 198278 can be stored with the key value of '198278, rig descry.' Make sure your naming rules are simple and rule-driven so that you can use the least amount of code to programmatically create keys.

Next, determine whether to run the Redis cache as a self-management service or Amazon's ElastiCache. Running the user's own instance of Redis gives the manager complete control over the cache. This control implies flexibility, such as the right of managers to use existing reserved instances when capacity is exceeded.

In addition, users will find full administrative control very useful when they want to migrate applications from one cloud computing vendor to another.

If the user chooses to run a self-managed Redis instance, the server can be downloaded. Redis's client supports more than 30 programming languages-- from Java and Python to Prolog and Smalltalk.

Enterprises that already use the AWS environment may want to use ElastiCache. In addition to advantages such as managed patching, Amazon ElastiCache supports a range of cache-optimized node types, ranging from medium to 2x m3 nodes, large to 8x R3 nodes, and from micro to medium T2 nodes. ElastiCache also supports some previous generation node types, such as selecting M1, m2, T1, and C1 nodes.

ElastiCache also supports multiple availability zones. If one node fails, a read replication node replaces the failed node. Any DNS changes that need to ensure that the application is running are made automatically and a new copy of the read operation is created. ElastiCache allows an on-demand pricing model based on unit time usage, as well as one-year or three-year prepaid node terms of use. The full price list can be found here.

If you use Redis caching and Amazon ElastiCache, you can start a cluster from the AWS management console. In addition to setting up the Redis service, you also need to modify the application code so that the cache can be used. A common pattern is to check if a key exists in the cache, and if not, execute a SQL query to retrieve the data, and then store it in the cache. When the cache is full, you can configure Redis to delete the old data, so that users do not need to use special code to handle the cache full situation.

The above is how to improve database query performance in the Redis cache shared by Xiaobian. If you happen to have similar doubts, you might as well refer to the above analysis to understand. If you want to know more about it, you are welcome to follow the industry information channel.

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