Jerry, can you provide a bit more background which might be helpful:

- what is your definition of a flurry of data?   What sort of transaction rate 
do you estimate this is?
- are you using prepared statements for your inserts, updates, etc? If not, 
then do so and also change the derby.statementCache.size to something quite a 
bit larger.  This will allow the statements to be compiled once and cached 
instead of being prepared each time you execute them.
- are you using a connection pool or are you opening/closing connections 
frequently?

I have a system with a busy database and it took some tuning to get to this 
point.  Right now it is doing about 100 inserts/second continuous 24x7 and it 
has peaked up to 200 inserts/second.  Granted my application is different than 
what you are doing but it is possible to get derby to run when busy.


-----Original Message-----
From: Jerry Lampi [mailto:[email protected]] 
Sent: Monday, September 30, 2013 3:29 PM
To: Derby User Group
Subject: Proper configuration for a very busy DB?

We have about 30 clients that connect to our version 10.8.2.2 Derby DB.

The clients are programs that gather data from the operating system of their 
host and then store that data in the DB, including FTP activity.  
Sometimes, the clients get huge flurries of data all at once and Derby is 
unable to handle the influx of requests; inserts, updates, etc.  In addition, 
the clients are written so that if they are unable to talk to the DB, they 
queue up as much data as possible and then write it to the DB when the DB 
becomes available.

This client queuing is a poor design, and places greater stress on the DB, as 
when the 30 clients finally do talk to the DB, they all dump data at once.  The 
clients do not know about one another and therefore do not attempt any 
throttling or cooperation when dumping on the DB.

The net effect of all this is that the DB is too slow to keep up with the 
clients.  As clients try to feed data to the DB, it cannot accept it as fast as 
desired and this results in the clients queueing more data, exacerbating the 
issue.

So the DB is very busy.  The only significant thing we have done thus far is 
change the derby.storage.pageCacheSize=5000 and increase Java heap to 1536m.

Is there a configuration considered optimal for a VERY busy Derby DB?

Thanks,

Jerry


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