On Sun, 28 Nov 2010 00:09:40 -0800, Mike Schilling wrote:
Without going into all the details, I have the following situation:
There are a set of objects RTS, all of the same type, that gather
run-time statistics about the running of a program. Various related
objects with different lifecycles pass them around and use them. I'm
interested in when each member of RTS is no longer being updated,
because I want to collect its final statistics , but there's no good way
to tell when it's no longer in use except via its collection, so when
it's created I attach a weak reference to it and associate the weak
reference with a queue. When the reference is delivered, I record the
statistics. [1]
So far so good. The question is, what's the best way to keep the
references in memory until they can be delivered to the queue?
Obviously, I could put them into a synchronized HashSet, but I'd prefer
to optimize for concurrency by minimizing locking. At the moment, I'm
using a ConcurrentHashMap, since it seems to give the best concurrency
for updates. (The usage pattern is a bit unusual, since there are
effectively no lookups. There's a put() when the reference is created,
and a remove() when it's pulled out of the reference queue.) This is an
area where I have very little experience, so I'd welcome input from
anyone who's worked with these classes.
1. Obviously, a member of RTS points to a separate statistics object
which is also pointed to by the weak reference.
The RTS object won't be collected, and so won't end up on the reference
queue, if it's held in a hashmap.
thought so. The question is what sort of Map to use to optimize
concurrency.