Hello,
I wanted to know if some of you are using JackRabbit on a server
used by many users (about 35 single users per minute).
I am currently getting
problems on my application because it seems JackRabbit doesn't respond quickly
enough.
Is JackRabbit supposed to be working with
high traffic, or should it only be used as a kind of
datawarehouse?
Moreover, if it indeed can handle many connections at the
same time, what could explain the bottleneck that comes from JackRabbit? Having
had a look at the source code, I am wondering whether the synchronized methods
in the
org.apache.jackrabbit.core.persistence.bundle.AbstractBundlePersistenceManager
class aren't causing our problems. As far as I have looked, it seems only one
user can access the repository at a time (this seems very strange!). Am I
right?
If yes, does someone know why it behaves that way?
I was also wondering if changing the locking policy could be a good
idea: our application on the server only reads content in JackRabbit (the
content is written into the repository via a separate batch, so there is no
need
to synchronize read / write outside the batch). Do you think I could improve
performances by only giving a "fake" lock that doesn't lock anything when we
try
to read content in the repository?
Last question: it is possible to specify a cache size in the
org.apache.jackrabbit.core.persistence.bundle.OraclePersistenceManager (see the
attached jackrabbit-repository.xml file). Is
it a cache of objects fetched from the repository? or does it cache
something else instead? Why do we need to give a max amount of memory to use,
instead of giving a max number of objects in the cache? (like ehcache
does)
The application is running on a WebLogic server and all content is stored into
an Oracle database.
I also added our repository configuration file to this email (we are using a
1.6 patched version of JackRabbit).
Any help will be greatly appreciated!
Thank you very much.
Kind
regards,
Paul.
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