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Ram allocation

can allocate 128GB ram of server where it is installed. So can you please help us where we can find ... ? ObjectDB can benefit from any available RAM : By the operating system cache that may include all or ... , as long as the JVM is also set and capable to use that amount of RAM for its heap. support

Inserted entities with strings as keys and indices needs more and more ram memory in comparing to primitive integers as keys and indices

of further entities needs also more and more ram memory, this leads to out of memory exceptions. But if use ... and indices needs only more ram memory, but not more and more memory. And if the max heap memory is big ... round about 750 MB RAM memory. The example with string keys needs round about 1,5 GB RAM memory

General Settings and Logging

can be used to represent the system default temporary path, as demonstrated above. Using RAM

virtual servers and one file

with a different virtualization configuration. If the physical machine has sufficient RAM for caching ... plus Hyperthreading and 128GB RAM . The virtual server is assigned 56 cores and 100GB of RAM . The hard ... , is there sufficient allocated RAM (including to the JVM heap)? Hopefully the issue can be solved with the right

Soft Reference Object Cache Recommendation

) when heap RAM gets low for my application.  This would use a Least Recently Used (LRU) mechanism ... , and a soft reference when the byte[] only needs to be read and sits in the cache until more heap RAM ... " to see RAM block from GC by those instances, then select one of those instances to view all the references

Object DB In memory : without Filestore

memory with no hard drive, by using a RAM drive .     support Support   At the moment ... with no hard drive, by using a RAM drive.       can u give me example how  we can used ... above, although ObjectDB does not support in memory mode, you can use a RAM drive. i.e. install a RAM drive

in-memory and on-disk support?

(40GB) will be managed on a RAM disk / RAM drive . Both databases can be managed in embedded (in ... also with one database.   support Support Thanks for the reply. RAM Disk isn't really ideal as a filesystem ... ; bensteele Ben Steele Actually, a RAM drive provides excellent performance and because ObjectDB uses

Occasionally slow requests in load testing

first). Larger  processing = cache value. More RAM on the machine. Using a dedicated disk ... becomes larger than the available RAM a natural decrease in performance is expected. support Support ... is going to reduce duration of a single write operation? Machine has much more free RAM than database

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

it on a VPS with about 4GB of RAM . 1/ I use the default objectDb.conf (i mean i dont use any ... too much? Is there something in object.conf that i should tweak? I think I need to understand how the RAM is managed by ... databases, so it can easily exceeds your VPS RAM . If you must keep 100 databases open concurrently then you will have to reduce cache sizes, etc. support Support

Cache usage

after a runtime of several weeks we are now analyzing the usage of the cache and so on. Looking at the heap dump we suspect that the cache is really used (see heap dump attached), the RAM allocated ... all the free RAM for database file pages, so if you have sufficient free RAM it is expected to be used

ObjectDB shuts down

to keep the necessary amount of RAM available for itself. I experienced something similar when my app server (Tomcat ... Mircea Chirac We monitored the DB server RAM usage and it is max 2%, server has 16GB RAM altough

suddenly a batchquery appears

Zwicker Local files are generated in the  temporary directory  when processing exceeds RAM usage threshold. If you have sufficient RAM try to increase the threshold. Regarding the size

Server closes if large query runs out of memory

memory allocation (and uses temporary files instead of RAM ) when memory usage is high, but it is far ... threshold setting. If you reduce the threshold then ObjectDB will use temporary files instead of RAM

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

. 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

-XMX settings recommendation

formula, but usually larger is better, as long as you have sufficient 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

large numbers of records

, since I/O operations are slower than RAM access. See this page for information about ObjectDB limits ... with persistent RAM so there is no problem of data loss.     peric.emil Emil Perić ObjectDB

doctor error message after database getting page errors

; trying to do a doctor on the customer system with around 40 GByte free RAM (database is around 37 ... fine with the default JVM heap size on a PC with 16GB RAM . Did a server restart solve the issue

Configuration Advice

We have a customer system with 64 GByte RAM , 16 CPUs on 8 sockets, the fastest possible ssd. we wonder if the cache and other settings can be optimized to get the most performance ... is to try different settings. If you have sufficient RAM but temporary files are used a higher

Which storage fits best to ObjectDB?

ObjectDB read/write the DB files by large chunks and then it parses it within the RAM (so it would mean ... are loaded from disk to RAM (when needed). Therefore, unless the database file is small and cached

Performance Issues After Migrating to ObjectDB - Urgent Assistance Required

RAM . No other major processes are running. ObjectDB Configuration : I have attached the configuration ... the usage of resources like RAM and CPUs. We have taken several steps to improve performance

In memory processing for ObjectDB

You can use ObjectDB in a pure in memory mode by using a 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

Performance with large databases

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 can reside in memory (using the OS cache

Empty temporary dat files in the temp folder

mentions high memory usage. Did you mean high RAM usage in addition to these files?     ... files, not RAM . I prepared a TestCase to demonstrate the behavior: import javax.persistence.Basic

cache optimizing

we have a customer system with 64 GByte RAM , 16 CPUs on 8 sockets, the fastest possible ssd. we wonder if the cache and other settings can be optimized to get the most performance these are the current settings, please advice what we could optimize            

Objectdb server out of heap space

than your physical machine RAM )  using the -Xmx JVM option , if necessary. support Support I'm

Insert time increases as db grows.

transactions. My hardware is Intel i7 2x3.3GHz with 8Gb RAM . At first results was really impressive

EM.find() is suddenly slower

getting data from the L2 data cache (e.g., due to limited RAM and large cache that might be swapped

performance tuning

we have a customer system with 64 GByte RAM , 16 CPUs on 8 sockets, the fastest possible ssd. we wonder if the cache and other settings can be optimized to get the most performance these are the current settings, please advice what we could optimize hgzpincher Hans-Georg Zwicker

Password Protect Database File

your application is active with the password. An administrator can take a RAM snapshot of your application or

Lazy Init / Eager / Join Fetch collection strategy ? What to choose ?

, but may also consume too much RAM and becomes slow. Unfortunately there is no one best solution for every situation

Is there an update on running ObjectDB purely in-memory?

Hi, I know that this has been asked, but the last time seems to be two years ago, so I'd like to know whether there is a change or an outlook regarding the topic: Is it possible, or planned, to run ObjectDB purely in-memory, without a any file on disk? Note that "file on RAM disk

First query takes 4+ minutes to complete

System We are running our tests on a 64bit Linux (CentOS 6.3) machine with JDK 1.7. The system has 4Gb of RAM (DDT

Slow performance on Mac

- This code is tested on Windows and Mac. Windows is working great, Mac is very slow (read is 11 seconds on Mac, and 100 milliseconds on Windows). - Application is using Spring Boot console application (for JPA implementation) - MacOS Sierra 10.12.3, Core i7 CPU, 16GB RAM , SSD drive java version

config optimizing

we have a customer system with 64 GByte RAM , 16 CPUs on 8 sockets, the fastest possible ssd. we wonder if the cache and other settings can be optimized to get the most performance these are the current settings, please advice what we could optimize            

Memory leak with OutOfMemoryError exception

you will have to decrease the following default ObjectDB settings: Temporary data RAM threshold . Page

Run out of memory

the uncommitted changes persist in RAM (not the file db), hence I am getting out of memory exceptions

Performance tuning, best practices

we have a system where we serve from a host process around 200 clients connected via webSockets (Jetty). The core process is running on a dedicated Windows 2012 server with 16 GByte RAM and 8 processor cores.  What is strange for us is that max 20% of the cpu resources are used and the IO

ObjectDB's Database Doctor Incorrect Error Report

page size of presumably 256 KB.  (So I was wasting a lot of RAM and resources like caching based

Doctor - high memory usage

 have at least 2GB RAM , I don't think that running the Doctor with 512MB max heap size

Query Execution on parallel threads don't lead to performance improvements

of the temporary file threshold , to reduce the use temporary files (although it may require more RAM ). support Support

Best practise loading big data

sizes of caches and how to configure them. Please clarify whether the RAM is released when you close ... sizes to reduce RAM please provide more information about the RAM consumption of relevant ObjectDB ... ) will cache file pages only when RAM is available.  Our problem is that the infrastructure (looks

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

the cores to 24, RAM to 96 GByte. the behaviour still the same we are really with our back at the wall ... no, we had to shut down at around 9:30, then we did increase RAM and cores hgzwicker Hans-Georg ... ? does it perform better? If you do please take a heap dump when RAM usage is increased

retrieval again and again started

where caused by too less RAM available, we increased and do not have any issue since 2 weeks hgzpincher Hans ... (extremely slow query execution), which was hopefully solved by increasing RAM as of your update in #18

Multiple files support for search and persist

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

Server crash - Mismatch client-server protocol prefix

of an OutOfMemoryError exception, and allocating sufficient RAM solves the problem. We should check how future

Negative snapshot user count exception

sufficient RAM solves the problem. We should check how future versions of ObjectDB can at least produce

database corrupt

what we should change in our configuration  server: 12 CPUs, 96 GByte RAM , SSDDrive, Server 2012

Unexpected error when loading all entity instance

(Intel Core i7, 8GB RAM for VM, 16GB SSD Harddrive for VM), Debian jessie, Oracle Java 1.8.0_121, latest

query.getResultList() throws ClassCastException

(because it would consume less RAM ). You can improve query performance by retrieving field values rather than entity

Objects are not garbage collected

. However, we can see that over time more and more NormalizedAccessPaths clog up the RAM and won't