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It is possible, but it depends on your backing storage. Please see the notes on conistency in the README.
The short story is:
Out of the box by default, all Durabledict classes will sync with their durable data store on all writes (insert, updates and deletes) as well as immediately before any read operation on the dictionary. This mode provides high read consistency of data at the expense of read speed. You can be guaranteed that any read operation on your dict, i.e. settings['cool_feature'], will always use the most up to date data. If another consumer of your durable data store has modified a value in that store since you instantiated your object, you will immediately be able to read the new data with your dict instance.
This obviously has a downside, as it requires you to check with your backing data store before ever read. You can turn off this behavior (by turning autosync off), but the best idea (if you can do it) is to use the Zookeeper backing store. It has a nice property that it automatically syncs your DurableDict instance as keys are updated, which is the best of both worlds.
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