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RAM. You can track the actual heap size in production and see if it is sufficient. If you have RAM constraints and the heap size is tight, you may have to reduce the sizes

than when using a small database that can be cached entirely in memory, since I/O operations are slower than RAM ... -memory on ObjectDB. We have a server with persistent RAM so there is no problem of data loss

>   trying to do a doctor on the customer system with around 40 GByte free RAM ... heap size on a PC with 16GB RAM. Did a server restart solve the issue? If it did

chunks and then it parses it within the RAM (so it would mean reading/writing of large data fewer ... to RAM (when needed). Therefore, unless the database file is small and cached completely (by ObjectDB or

>Server: The VM is running on Ubuntu 20.04 with 70GB RAM. No other major processes are running ... have also attached snapshots showing the usage of resources like RAM and CPUs.

This may be explained by examining the ratio between the database size and the available RAM. As long as the available RAM is larger than the database, the entire database

of your transactions. Your post title mentions high memory usage. Did you mean high RAM usage in ... RAM. I prepared a TestCase to demonstrate the behavior:

this DELETE operation the entire database is affected, so ObjectDB needs RAM in the size of the database

and multiple disks, and splitting read activity between slave servers. increasing RAM

exception, and allocating sufficient RAM solves the problem. We should check how future versions