Virtual persistent data structures are very easy to use, as all the
database stuff is pretty much transparent to the application developer. You
can query and update them the same way you query and update any Clojure
persistent data structure.
First, you do need to open and close the database:
(let [opts (yearling-open (File. "my-database"))]
.
.
.
(db-close opts)
Between the open and the close, you can do queries and updates, like this:
(println (db-get-sorted-map opts)); -> {}
(db-update (fn [aamap opts]
(->
(assoc :me "Hello world!")
(assoc :v (reduce conj [] (range 3))))
opts)
(println (db-get-sorted-map opts)); -> {:me Hello world!, :v 0 1 2}
Note that [1 2 3] is an ordinary Clojure vector.
Now lets make things complicated. Lets say you want to add a vector that
has a million entries. You will want to use a virtual vector instead of a
regular vector, just because it is so big. This is how you could do it:
(db-update (fn [aamap opts]
(assoc aamap :big-v (reduce conj (new-vector opts) (range
1000000)))
opts)
>From https://github.com/laforge49/aatree#readme
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