Check and set (CAS) operations are commonly used in Memcached to ensure that the cache value is only changed if it has not been altered since you last fetched it. This is useful in concurrent environments where multiple processes may be attempting to update the same key-value pair.
Here is an example of how to use CAS in Memcached with Ruby:
require 'memcached' cache = Memcached.new('localhost:11211') # Set key-value pair cache.set('key', 'value') begin cache.cas('key') do |current_value| # Modify the current value current_value.upcase! end rescue Memcached::NotStored puts "Value was updated by another process" end
In this example, we're setting a key-value pair, then we're trying to update it using the cas
method. The block passed to cas
receives the current value, modifies it, and its return value will be stored back in Memcached. If the value has been changed by another process after we fetched it but before we could store the new value, a Memcached::NotStored
exception is raised.
Memcached::NotStored
exception.cas
block to minimize the chance of conflicts.Memcached::NotStored
exception, leading to silent failures.cas
block.Q: Can I perform other operations inside the cas
block?
A: Yes, you can perform any operation inside the cas
block. However, ensure these operations are quick to minimize the chance of another process changing the value before you can store your changes.
Q: What happens if two processes try to update the same key simultaneously?
A: If two processes try to update the same key simultaneously using cas
, one of them will get a Memcached::NotStored
exception. The one that gets the exception should handle it and decide what to do next.
Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement.