Something else, the fix to the CloudCacheStore, it does not work.
You should get rid of this "getBucketName" and simply add a single letter
prefix to each bucketName (to avoid the minus sign which is valid in URLs BTW).
And don't forget to use it everywhere a bucketName is used like i.e. readFromBlob or
loadBucket and not only in insertBucket.
My I suppose that this code is not tested because you don't want to expose your S3
credentials ?
No, more like the tests are weak and not as sophisticated for this cache store. I'll
take a closer look at this tomorrow.
No worries. :)
phil
On Thu, Feb 4, 2010 at 6:36 PM, Philippe Van Dyck <pvdyck(a)gmail.com> wrote:
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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