Anyway, bad news, still have the problem without async and
with purgeSynchronously="true".
It is easy to test, create a transaction with 100000 updates (file store)
and use a maxEntries of "2" for the eviction.
While the transaction is being committed, the eviction thread wakes up and
deletes entries.
I don't think this behavior is intended (?)
phil
On Thu, Feb 4, 2010 at 6:19 PM, Philippe Van Dyck <pvdyck(a)gmail.com> wrote:
Totally agree... as long as any failing async transaction is
logged...
BTW, since none of my cache entries expire, they are all instances of
ImmortalCacheEntry.
But since ImmortalCacheEntry does not update the "lastUsed" field, LRU or
FIFO are useless eviction strategies...
My own eviction strategy, getting rid of a % of the size of the cache in
memory -> LRU first, does not work...
Any idea ? Should I use my own timer (even if there is one in
InternalCacheEntry) ?
cheers,
phil
On Thu, Feb 4, 2010 at 5:49 PM, Manik Surtani <manik(a)jboss.org> wrote:
>
> On 4 Feb 2010, at 16:27, Philippe Van Dyck wrote:
>
>
>
>> Am I missing something ? Loosing data is something I cannot afford ! I
>> Plan to use this store as a *permanent* one... I have no backup ! (Actually
>> S3 is the backup) - So, no, I don't want this ... at any price ;-)
>>
>>
>> Then set <async enabled="false" /> in your cache store config.
:-)
>>
>
> That is exactly what I planned to do... for the FileCacheStore since the
> latency is quite low and the failure rate almost zero.
> But the S3 store is very slow, and asynchronism is not a luxury...
>
> Right now, I am trying to make my own custom solution based on the size of
> the cache in memory (as trigger) and then I will evict specific oldest
> entries... hoping that async transactions are fully committed.
>
>
>>
>>
>>
>>> reduced by looking through the async queue as well, before checking the
>>> underlying store. But as I said, this just reduces the size of this window
>>> and not eliminate it altogether, since this is async and there is no
>>> guarantee that the cache store has finished writing internally (e.g., an
>>> fsync() operation or in the case of S3, Amazon's eventual consistency
>>> model).
>>>
>>>
>>> Why should eviction be transactional? I don't need eviction to be an
>>> all-or-nothing, reversible event. :) If an entry gets evicted, cool. If
>>> not (for whatever reason), too bad, move on to the next evictable entry.
>>>
>>
>> You are right, we don't want to rollback evictions... but maybe we should
>> use a priority queue to be sure that evictions are done after any other
>> command ? Doesn't it solve it all ?
>>
>> 1) The eviction thread runs (we could lower the priority of this thread
>> too)
>> 2) It fills a queue of keys to evict
>> 3) The async queue is prioritized and evicts entries ... when there is
>> nothing else to do (suddenly it looks like garbage collecting)
>>
>>
>> That is a possibility. But I don't expect to be making any drastic
>> changes to the existing eviction code anymore. Don't know if you have been
>> following discussions re: LIRS, lock amortization, etc., but Vladimir is
>> working on some very interesting self-evicting, bounded data containers
>> which would mean that the eviction threads, etc all get ripped out.
>>
>>
> Sounds terrific...
>
> Just to close the subject, shouldn't the documentation explicitly say that
> async and eviction are not "compatible" ?
>
>
> I don't think this really has anything to do with "incompatibilities".
> It's just the effects of queued/batched processing in the cache store async
> threads. You will see the same problem if you:
>
> 1. put (K, V)
> 2. The put is enqueued in the cache store
> 3. Restart the cache
> 4. get (K) // Data loss!? Just an async write that didn't have time to
> complete.
>
> And the above has nothing to do with eviction.
>
> Cheers
> Manik
> --
> Manik Surtani
> manik(a)jboss.org
> Lead, Infinispan
> Lead, JBoss Cache
>
http://www.infinispan.org
>
http://www.jbosscache.org
>
>
>
>
>
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