Hi Donovan,
On 17.12.13 09:57, Donovan Muller wrote:
Hi all,
I'm starting to read about the upcoming Akka Persistence goodness.
Stupid question for the day:
The journal, I presume, is written to local storage currently.
Given a multi machine cluster, how does that work with regards to
migrating actors to another machine or one machine spontaneously
combusting?
Does this mean that the journal must be written to a
distributed/shared filesystem?
I guess this is what you're inferring here:
Storage backends for state changes and snapshots are pluggable in Akka
persistence. Currently, these are written to the local filesystem.
Distributed and replicated storage, with the possibility of scaling
writes, will be available soon.
Yes, exactly.
Just wondering how that will be implemented in future?
There's no decision for a concrete replicated storage backend yet but in
a first step this could be a replicated NoSQL database supporting high
write throughput (and scaling writes by adding nodes). Also expect some
community efforts/contributions in this area. If you want to start
experimenting with actor migration, consider using a shared LevelDB
journal
<http://doc.akka.io/docs/akka/snapshot/scala/persistence.html#shared-leveldb-journal>
(and switch to a replicated when available).
Cheers,
Martin
Thanks
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