TROUBLESHOOTING
The database is heavily used
View the user activity to see if the database is heavily used. This option is on the Information tab of the Database Properties box. Check the server to see if its hardware and memory are powerful enough to support the user activity for the database. If the server is not powerful enough, you may need to upgrade hardware or memory on the server. You can also create an additional replica of the database so all users are not always using the same one. If disk contention is a problem, move the database to a less heavily used disk. For more information on the Database Properties box, see Lotus Notes 8 Help.
There are too many views
If the database contains many views, consider consolidating some of them. You can consolidate views by creating alternative collations in the same view, rather than using separate views. Or, you can purge or delete view indexes. Database performance can suffer when a database contains many views.
For more information on improving view performance, see Domino Designer 8 Help.
View indexes are being refreshed too frequently
If the database is heavily used or contains many documents, refresh view indexes less frequently, if possible.
For information on views, see Domino Designer 8 Help.
Unread mark processing may cause delays
Unread mark processing may cause delays after the database is opened. It also creates disk contention, which slows down every operation on the database. Delays occur as the unread marks in a database are updated while the database is opening. Disabling unread marks on the database eliminates the delay.
The database design is complex
A complex database design can cause performance problems. Work with the designer to redesign or minimize performance problems.
For information on designing applications, see Domino Designer 6 Help.
Database performance properties are not being used
If feasible, set database properties to improve database performance.
The database cache needs adjustment
If you are a system administrator, monitor the database cache on the server that stores the database to see if it's working effectively. If necessary, increase the number of the databases the cache can hold. The NSF buffer pool size may also need to be increased.
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