Using Quit Command in Memcached with Golang (Detailed Guide w/ Code Examples)

Use Case(s)

The "quit" command in Memcached is used to close the connection between the client and the Memcached server. This is commonly used when there's a need to cleanly disconnect a Golang program from a Memcached server, for instance, once the necessary caching operations are completed.

Code Examples

Here is an example of how to use the "quit" command in the context of a Golang program.

package main import ( "" "log" ) func main() { // Connect to Memcached server mc := memcache.New("") // Set a value err := mc.Set(&memcache.Item{Key: "hello", Value: []byte("world")}) if err != nil { log.Fatal(err) } // Get a value it, err := mc.Get("hello") if err != nil { log.Fatal(err) } log.Println(string(it.Value)) // Close the connection mc.Quit() }

In this code, we first connect to the Memcached server using the New function provided by the gomemcache/memcache package. Then we set a value, get the value back, and finally call the Quit method to close the connection to the Memcached server.

Best Practices

  1. Always ensure to close the connections once they are no longer needed. This helps prevent resource leaks which could degrade system performance over time.
  2. Handle any errors that may occur during the connection, set/get operations, and disconnection process. This will help to ensure that your program can gracefully handle unexpected situations.

Common Mistakes

A common mistake is neglecting to call Quit when done with a Memcached connection. This can lead to resource leakage in the server as unused connections may not get closed properly.


  1. Is it necessary to use Quit command every time after using Memcached?
    It is a good practice to disconnect from the Memcached server once you're done with the operations. This ensures resources are not unnecessarily occupied.

  2. What happens if I don't use the Quit command in Golang for Memcached?
    If the Quit command is not used, the connection to the server remains open until it's closed by other means (like server timeout or program termination), which could potentially use up system resources.

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