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config optimizing

we have a customer system with 64 GByte RAM, 16 CPUs on 8 sockets, the fastest possible ... ;      <!-- cache: 2048mb/8GByte RAM, 4096mb/16GByte RAM, 8192mb above --> ... ;   <!-- results: 256mb/8GByte RAM, 1024mb/16GByte RAM, 2048mb above -->   

in-memory and on-disk support?

(40GB) will be managed on a RAM_disk" target="_blank">RAM disk / RAM drive. Both databases can be managed in embedded (in process) mode ... Support Thanks for the reply. RAM Disk isn't really ideal as a filesystem is going

Occasionally slow requests in load testing

class="code">processing => cache value. More RAM on the machine. RAM a natural decrease in performance is expected. support ... operation? Machine has much more free RAM than database ever uses. The max heap size

RT Java application recording into 100DB run OOM after a few hours.

manager every 10 new entity) - I run it on a VPS with about 4GB of RAM. 1/ I use ... that i should tweak? I think I need to understand how the RAM is managed by ObjectDB ... exceeds your VPS RAM. If you must keep 100 databases open concurrently

Cache usage

), the RAM allocated by objectdb is much less than we would expect. The database file ... size is normal. In addition to this cache, the OS manages its own cache and can use all the free RAM for database file pages, so if you have sufficient free RAM it is expected to be used anyway.

In memory processing for ObjectDB

ObjectDB in a pure in memory mode by using a RAM_drive" target="_blank">RAM drive. However, high performance is also expected when using ObjectDB on an ordinary drive with a large cache, or if large RAM is available and used by the internal

ObjectDB shuts down

processes if it runs out of memory, in order to keep the necessary amount of RAM available ... the DB server RAM usage and it is max 2%, server has 16GB RAM altough it is a 32bit CentOS. Measurment

Server closes if large query runs out of memory

files instead of RAM) when memory usage is high, but it is far from perfect and can easily fail ... the threshold then ObjectDB will use temporary files instead of RAM more often. Processing complex queries

Intermittent Server Shutdowns Due to Out of Memory (OOM) Issues

is a guesswork. Please take a heap dump of the server when RAM usage is high and report which classes and objects consume unexpected RAM resources. support Support

each 1-2 days objects on some objectdb level lock/block each other

Zwicker we increased the cores to 24, RAM to 96 GByte. the behaviour still the same no, we had to shut down at around 9:30, then we did increase RAM and cores hgzwicker Hans-Georg Zwicker ... , we had to shut down now the complete system on 60 GByte RAM used. Again, we did not change