Mircea,
This sounds interesting.
How would you do this, would you subclass the current
JDBCCacheLoader, or would you rewrite it as a new cache loader? (I'd
still want to leave the current JDBCCacheLoader in tact for compat
reasons, etc). Either way, if you don't mind going ahead with an
impl and put it through some tests comparing it with the existing
JDBCCacheLoader, we certainly would appreciate it. :-)
Cheers,
--
Manik Surtani
Lead, JBoss Cache
JBoss, a division of Red Hat
Email: manik(a)jboss.org
Telephone: +44 7786 702 706
MSN: manik(a)surtani.org
Yahoo/AIM/Skype: maniksurtani
On 21 Jan 2007, at 19:42, Mircea Markus wrote:
Hi guys,
I've took a look at the implementation of JDBCCacheLoader and here
are some thoughts on it.
There is an alternative way of persisting trees into the database.
It has certain advantages compared to the straight forward solution
of each node keeping a reference to its parent ( a.k.a. Adjacency
List Model). The basic idea is to traverse the tree in preorder and
add some indexing info to each node - you can find a nice and
simple description of the model here:
http://www.sitepoint.com/
print/hierarchical-data-database. This indexing info will be
further used for optimizing fetching and removing operations.
The big advantage is that all the recursive calls for the
loadSubtree and removeSubtree operations are nicely avoided.
Drawback - insertions is slightly more time consuming.
I've made a comparison between this approach and the existing
implementation and here are some figures. Methods that are affected
are: remove(Fqn), loadState(Fqn subtree, ..) and put(Fqn, value)
1) remove(Fqn). Current recursive implementation performs about pow
(m,n) database calls. M = the average # of children, n the depth of
the subtree. The new approach would reduce it to a fix value(3
calls - retrieve the node, delete it together with all its
children, update indexes)
2) loadState(Fqn subtree, ..) - similar to remove; pow(m,n)
database calls, 2 queries for loading it.
3) put(Fqn, value) - here is the drawback. Normally a new update
should be performed in order to shift the indexes. An optimization
can be performed though. By indexing with a step of lets say 10,
we'll be assured that the next 9 insertion will not conflict, so
the drawback would be an update for each 9 insertions - not a big
deal I would say.
If you guys find it usefully, really glad to go ahead with an
implementation and compare the performance figures...
Cheers,
Mircea
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