If your data fits in RAM, you can write your system as a pure Clojure function, without any database complexity. It will be much simpler, cleaner and orders of magnitude faster.
Prevayler takes care of persistence.
- Get enough RAM to hold all your data.
- Implement the business logic of your system as a pure event handling function. Keep any I/O logic (accessing some web service, for example) separate.
- Guarantee persistence by applying all events to you system through Prevayler, like this:
(defn my-system [state event]
...) ; Any function returning a pair [new-state event-result].
(with-open [p1 (prevayler! my-system)]
(assert (= @p1 {})) ; The default initial state is an empty map.
(handle! p1 event1) ; Your events can be any Clojure value or Serializable object.
(handle! p1 event2)
(assert (= @p1 new-state))) ; Your system state with the events applied.
(with-open [p2 (prevayler! my-system)] ; Next time you run,
(assert (= @p2 new-state))) ; the state is recovered, even if there was a system crash.
Prevayler-clj implements the system prevalence pattern: it keeps a snapshot of your business system state followed by a journal of events. On startup or crash recovery it reads the last state and reapplies all events since: your system is restored to where it was.
- RAM: Requires enough RAM to hold all the data in your system.
- Start-up time: Entire system is read into RAM.
Prevayler's default file name is "journal" but you can pass in your own file. Prevayler-clj will create and write to it like this:
Contains the state at the moment your system was last started, followed by all events since. Serialization is done using Nippy.
On startup, the journal is renamed to journal.backup and a new journal file is created. This new journal will only be consistent after the system state has been written to it so when journal.backup exists, it takes precedence over journal.
After a new consistent journal is written, journal.backup is renamed with a timestamp appendix. You can keep these old versions elsewhere if you like. Prevayler no longer uses them.
The transient-prevayler! function returns a transient prevayler the you can use for fast testing.
"Simplicity is prerequisite for reliability." Dijkstra (1970)