Hi guys,
in an attempt to jump into the backend database, and due to the problem
we have on the add operation, I looked at the current implementation
(based on JDBM) and the way we use it.
Right now, we have one master table containing all the entries, plus
many indexes, some of them being system indexes (CSN, UUID, RDN, etc)
and other being user defined.
Each of these index are a composition of two tables :
- a forward index : from a key, you get a link to entries in the Master
Table (MT)
- a reverse index : from an entry ID, you get a link to all the
contained values
As soon as you consider that a delete operation will need to update all
the index the deleted entry uses, you see that you can benefit from
having such reverse index : you don't have to grab the entry from the
backend, as you already have it's ID, which is all what you need. Thus,
a delete operation is just about doing :
- get the entry ID
- for each index, if we have an <Entry ID> stored, then grab the
associated values, and for each value, delete them from the forward index.
- delete the entry from the MT
Sounds like you have avoid a fetch from the MT, but you have to pay an
heavy penalty for that :
- first, has you have no idea about how many index are used for this
entry (suppose that the entry does not contain the optional indexed 'cn'
attribute), you still have to check in the index.
- second, you have to maintain 2 tables for each index
IMO, the cost is way to expensive compared to the basic approach : grab
the entry.
Now, it's not enough to say 'kill the reverse index !'. There is one
more reason why we want to have this reverse index, the question is :
does it brings a lot of benefit ?
So why do we need this reverse index ? We discussed about it with
Stefan, and here is what it is used for : Suppose you have a search
request with a filter like (&(ObjectClass=XXX)(cn=YYY)).
The search engine will evaluate the number of entries each of those
filters node will get back. Suppose it's N for the OC filter, and M for
the cn filter. Let's say that N > M.
Now, we will loop on the M entries to check if they fit the OC filter.
How do we do that ? The first approach would be to grab the entry, and
check in memory of the filter (ObjectClass=XXX) match the entry. If not,
we ditch the entry, otherwise, itas a valid candidate.
The second option is to use the reverse index : we have the entry ID (we
havdn't grabbed the entry from disk yet), and we can see if the OC table
contains a reference for this entry ID. If not, we can move to the next
entry ID. Otherwise, we can grab the entry and return it.
Obviously there is some potential for a speedup. Now, let's consider the
cases where we benefit from not grabbing the entry.
1) We grab all the entry using the smallest set selected with the filters
pros :
- Fast entry filtering, it's just a question on applying the filters on
the entry
- It can be used very late, as we have already grabbed the entry. The
entry selection can not only be based on the filter, but can also be
combined with virtual attributes which has been added on the grabbed entry
- That means we can move the search engine out of the backend, and have
it working on the top of the Interceptor chain
cons :
- We may read way more entries than necessary
2) we just get the Entry ID and use the reverse index to select the entries
pros :
- we don't grab the entries unless absolutely necessary
cons :
- we may have to check in many indexes (as many as we have exprNodes in
the filter expression, assuming that each of them are indexed), which
means lot of O(log(N)) operations on these index (assuming that all
those index are in memory, otherwise, if we hit the disk, the benefit is
null)
- as soon as we have one single non indexed exprNode in the filter we
have to check, then we will have to grab the entry anyway. The benefit
is that we may save some disk access.
- of course, we have to maintain all the reverse indexes.
- if the exprNode is associated with an attribute not present in te
entry, we do a lookup in the index for nothing
- if the intersection between the two exprNode is big (ie
Nb(ObjectClass=XXX) inter Nb(cn=YYY)), then the gin will be low, and if
this itersection is small, then it's likely that the smallest set has
been already selected as the main index to use to grab entries, thus
leading to a small number of entries to grab.
So here is what I suggest :
- get rid of those reverse index
- or, at least, make it optionnal
thoughts ?
--
Regards,
Cordialement,
Emmanuel Lécharny
www.nextury.com