Storage is how you create custom storage for your profiling results. In production, you'll want to use a persistent data store that is shared between multiple threads, with your database being a good example. Key-Value stores such as redis, foundationdb etc are also especially suited for storage, as they're fast and the interface required is very small.
Storage is how you create custom storage for your profiling results. In production, you'll want to use a persistent data store that is shared between multiple threads, with your database being a good example. Key-Value stores such as redis, foundationdb etc are also especially suited for storage, as they're fast and the interface required is very small.
(fetch this id)
fetch takes the id
asked for and returns the resulting string from the
storage.
fetch takes the `id` asked for and returns the resulting string from the storage.
(save this id data)
save takes id
and data
to store (which is a string with an actual
serialized data inside) and puts it into a storage.
save takes `id` and `data` to store (which is a string with an actual serialized data inside) and puts it into a storage.
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