We are using Symas OpenLDAP 2.4.12.1 on a  Red Hat EL 5.2 64-bit with 8GB of
memory.

My DB_CONFIG settings are:
set_cachesize 3 0 2
set_lk_max_locks   3000
set_lk_max_objects 1500
set_lk_max_lockers 1500
set_lg_regionmax 262144
set_lg_bsize 2097152
set_lg_dir /opt/symas/var/openldap-logs/amwater
set_flags       DB_LOG_AUTOREMOVE
set_tas_spins 1

The 10 million user load finished in about 18 hours. I believe the primary
issue is the fact that we have a single disk on the system. I assume that if
I were to move the database and log files off to separate disks I would get
much better performance.

Thanks,
Pete


On Wed, Mar 18, 2009 at 11:26 PM, Quanah Gibson-Mount <[email protected]>wrote:

> --On Wednesday, March 18, 2009 1:25 PM -0400 Pete Giesin <
> [email protected]> wrote:
>
>  I am trying to perform some benchmarking against OpenLDAP. So far I have
>> ran my tests against a 100K and 1Million entry database and I have had
>> rather decent numbers. My final set of tests were to be ran against a
>> 10Million entry database. Unfortunately, I am having difficult loading
>> the database with this many entries. I have generated 10 1Million LDIF
>> files. I am using "slapadd -c -q -v -l <file>" to import each file. The
>> first 2 files took approximately 15 minutes each to load. The remaining 8
>> files are taking progressively longer and longer. So much longer that I
>> anticipate the entire proceess to take well over 24 hours. My question is
>> is there anything I can do to increase the performance of slapadd. I
>> assume that since slapd is not running at this point that the normal
>> DB_CONFIG and slapd.conf settings do not have much affect.
>>
>
> What are the settings in your DB_CONFIG file?  It is absolutely critical to
> the performance of slapadd.  What version of OpenLDAP are you using?  What
> version of BDB?  What operating system?
>
> --Quanah
>
> --
>
> Quanah Gibson-Mount
> Principal Software Engineer
> Zimbra, Inc
> --------------------
> Zimbra ::  the leader in open source messaging and collaboration
>

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