Hi Adrian and thanks for your answer.
I dug into the source of Infinispan S3 cache store and, no offense, but it looks more like a proof of concept than something I could use in production.
First of all, in order to achieve a minimum of efficiency, we need to use concurrency in this specific cache store.
Since it is using the JCloud's Map interface and not the Future<> asynchronous one... well, you know that, you wrote a big part of JClouds ;-)
The CacheStore interface does not offer an asynchronous solution, but a workaround is available.
I just modified the S3 cache store, and every write operation is now asynchronous and the resulting future is stored in a ThreadLocal queue.
After each transaction (S3CacheStore.applyModifications) I empty the queue and wait for each Future to finish, in order to catch errors (and allow rollbacks... or else the whole transaction mechanism is useless).
The drawback is obvious, if you don't use a transaction manager to update the cache, exceptions will die silently (but come on, nobody does that ;-).
The solution is working and I updated 1000 entries in ... 20 seconds (for me it means 'mission accomplished').
Secondly, there are still a couple of very strange things happening in the S3 cache store, but the most intriguing one is definitely JCloudsBucket public Set<Bucket> values().
Is it really serious ? Must we be able to load *ALL* of our data in order to rehash on some cluster join/leave operation ?
I plan to store a couple of 10's of GB on S3 so... well you see the problem.
It seems especially problematic since I was planning to use Amazon's EC2 autoscale feature to add Infinispan instances to my 'previously' working cluster.
I am quite sure I misunderstood something, or maybe all the rest.
Any help most welcome.
Philippe
Le 2 déc. 2009 à 18:19, Adrian Cole a écrit :
Hi, phillipe.
Apologies about the differences in trunk not being in infinispan, yet.
Obviously that version would help narrow down what's going on.
when you mentioned this: "it is abysmal (when using httpclient
directly I had a min of 100/sec using 20 connections)."
Are you saying you are comparing to code that is writing to S3 via
httpclient apis?
S3 tends to have a 80ms minimum overhead on PUT commands as measured
by
hostedftp.com [1]
Our normal perf tests from trunk do about 100 concurrent puts in 2-3
seconds untuned to s3 without the use of nio.
Cheers,
-Adrian
[1]
http://hostedftp.wordpress.com/2009/06/30/hostedftp-amazon-aws-s3-performance-report-how-fast-is-the-cloud/On Wed, Dec 2, 2009 at 6:06 AM, Bela Ban <
bban@redhat.com> wrote:
OK, then someone from the Infinispan team needs to help you.
If the option to use write-behind (instead of write-through) for a cache
loader still exists, that might be a perf boost.
The basic issue with the S3 cache loader is that it needs to send slow
and bulky SOAP messages to S3, and that's always slow. I don't know the
current S3 cache loader impl, but I suggest take a look and see what
properties they support. E.g. they might have an option to batch updates
and write them to S3 in collected form.
philippe van dyck wrote:
Thanks for your help Bela.
Indeed, when I replace the S3 cache store with the disk one, the performance problem disappears (takes less than a second to store my 100 'put' updates when I commit the transaction).
Here is my config :
<?xml version="1.0" encoding="UTF-8"?>
<infinispan xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns="urn:infinispan:config:4.0">
<global>
<transport
transportClass="org.infinispan.remoting.transport.jgroups.JGroupsTransport">
<properties>
<property name="configurationFile" value="jgroups.xml" />
</properties>
</transport>
</global>
<default>
<transaction
transactionManagerLookupClass="org.infinispan.transaction.lookup.DummyTransactionManagerLookup" />
<clustering mode="distribution">
<l1 enabled="true" lifespan="100000" />
<hash numOwners="2" rehashRpcTimeout="120000" />
</clustering>
<loaders passivation="false" shared="true" preload="false">
<loader class="org.infinispan.loaders.s3.S3CacheStore"
fetchPersistentState="false" ignoreModifications="false"
purgeOnStartup="false">
<properties>
<property name="awsAccessKey" value="xxx" />
<property name="awsSecretKey" value="xxx" />
<property name="bucketPrefix" value="store" />
</properties>
<async enabled="true"/>
</loader>
</loaders>
<unsafe unreliableReturnValues="true" />
</default>
</infinispan>
And the log :
INFO (14:54:37): JGroupsTransport - Starting JGroups Channel
INFO (14:54:38): JChannel - JGroups version: 2.8.0.CR5
-------------------------------------------------------------------
GMS: address=sakapuss.local-16157, cluster=Infinispan-Cluster, physical address=192.168.1.136:7800
-------------------------------------------------------------------
INFO (14:54:49): JGroupsTransport - Received new cluster view: [sakapuss.local-16157|0] [sakapuss.local-16157]
INFO (14:54:49): JGroupsTransport - Cache local address is sakapuss.local-16157, physical address is 192.168.1.136:7800
INFO (14:54:49): GlobalComponentRegistry - Infinispan version: Infinispan 'Starobrno' 4.0.0.CR2
INFO (14:54:49): AsyncStore - Async cache loader starting org.infinispan.loaders.decorators.AsyncStore@7254d7ac
WARN (14:54:51): utureCommandConnectionPool - org.jclouds.http.httpnio.pool.HttpNioFutureCommandConnectionPool@fcd4eca1 - saturated connection pool
INFO (14:54:52): ComponentRegistry - Infinispan version: Infinispan 'Starobrno' 4.0.0.CR2
please note the HttpNioFutureCommandConnectionPool@fcd4eca1 - saturated connection pool (??)
Philippe
Le 2 déc. 2009 à 14:28, Bela Ban a écrit :
Just to narrow down the issue: when you disable the S3 cache store, I
assume the performance problem goes away, correct ?
Just trying to pin the blame on the S3 cache loader, then I don't even
need to see whether it is a JGroups problem... :-)
philippe van dyck wrote:
Hi Infinispan mailing list,
a couple of days ago, I succeeded in writing an entity store for qi4j (http://www.qi4j.org/) using Infinispan, the S3 store and the S3_PING JGroups clustering configuration.
It works like a charm, discovers new EC2 instances, synchronizes and process transactions perfectly... you did an amazing job.
But I have a serious performance problems.
When I write an update (<1k) to the cache, it takes around 500 ms to be stored on S3.
The best result I achieved was around 10 cache writes per second... it is abysmal (when using httpclient directly I had a min of 100/sec using 20 connections).
When I commit a JTA transaction made of 100 cache writes, it takes around 30 seconds (cpu<5%) and the first write ends on S3 after at least 5 seconds of 'idle' time (SSL negotiation??).
I disabled the store asynchronism and work without JTA transactions, no effect on performance.
I also modified the jClouds configuration, multiplying by 10 all worker threads, connections and the rest... no improvement!
When I (load) test my web app (wicket based+qi4j+...infinispan) the cpu stays idle (<5%) and ... JTA transactions fails (timeouts) and I cannot acquire locks before the 10 seconds timeout.
Is there something fishy in the jclouds configuration ? in the httpnio use of jclouds ? in the version of jclouds (the trunk one with the blob store seems to be so different) ?
Am I missing something ?
Any pointer to any doc/help/experience is welcome ;-)
Philippe
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--
Bela Ban
Lead JGroups / Clustering Team
JBoss
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------------------------------------------------------------------------
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infinispan-dev mailing list
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--
Bela Ban
Lead JGroups / Clustering Team
JBoss
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