How to use mysql cache in golang

Using MySQL cache in Go is crucial to improving performance. This can be achieved through a third-party library or MySQL's own caching function. Third-party libraries (such as github.com/go-sql-driver/mysql) enable caching using the QueryRow() or Query() method and the mysql.WithQueryCache() option. MySQL's own cache function needs to be enabled in the my.cnf configuration file or using the command line command. Note: The cache size is limited, the content may be invalid, and may be inconsistent in concurrent scenarios. It is recommended to use a third-party library or other caching mechanism (such as Redis or Memcac

Using MySQL Cache in Go

For large applications, using a caching mechanism is crucial, which can significantly improve performance and reduce database load. In Go, you can use third-party libraries or MySQL. Built-in caching function to cache MySQL query results

Third-party library

Use a third-party library such as [github.com/go-sql-driver/. mysql ](https://github.com/go-sql-driver/mysql) is convenient because it provides caching functionality and requires no additional configuration. Just use QueryRow() or . Query () method and pass in the mysql.WithQueryCache(bool) option to enable caching

<code class="go">import (
    "context"
    "database/sql"

    "github.com/go-sql-driver/mysql"
)

func main() {
    db, err := sql.Open("mysql", "user:password@tcp(localhost:3306)/database")
    if err != nil {
        panic(err)
    }
    defer db.Close()

    // 启用查询缓存
    ctx := context.Background()
    rows, err := db.QueryContext(ctx, "SELECT * FROM users", mysql.WithQueryCache(true))
    if err != nil {
        panic(err)
    }
    // ... 处理行 ...
}</code>

MySQL comes with cache

#. # #MySQL itself also provides query caching. You can enable it by modifying the MySQL configuration file (

my.cnf) or using the command line command:

<code class="bash">SET GLOBAL query_cache_size = 1024000;
SET GLOBAL query_cache_type = 1;</code>

After enabling, the MySQL server will cache Query results and return cached results when executing the same query in the future

Notes

You need to pay attention to the following points when using query caching:

The cache size is limited, so all queries may not be cached.
• The cached content may become invalid due to table changes or other factors. In concurrent scenarios, the cache may be inconsistent. .
• To solve these problems, it is usually recommended to use a third-party library or other caching mechanism, such as Redis or Memcached
.

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