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Mapped By Fetch is very Slow

Well ! I think i pointed out a HUGE performance issue with mapped-by attribute (yeah ... , go the MyEntity class and remove "mapped-by". You obtain 1 second max of query fetch. So my performance issue ... mapped-by can still improve performance because there is no need in this additional query. Setting
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OEM: Too many persistable types (>10) - exceeds evaluation limit (error 1011)

has indeed been performed.   I have this at the entry to my application: public static void main(String[] args ... class enhancing HAS been " + "performed."); else System.out.format("ERROR! ObjectDB class enhancing has NOT been performed."); // todo end ... I get the following output when I
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Optimization Question

might be faster. You may also consider improving performance by: Using more embedded objects whenever possible ... one transaction for deletion of many updates it can also improve performance). If you still want to try updating ... with what's working. FYI, a new ObjectDB 2 version that has just been released (2.0 RC3) improves performance
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Selective merge/cascade of detatched entity

anything' flag, then to perform the modification, and for things that change after the re-attach happens ... _Enhancement_ This improved performance by between 5-30%, but this is still significantly slower than I'd hoped. I performed printlns at stages in the above code, where there were 100,000 Salesmen
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1

On ensuring ID available after persist

it did. Performing em.flush() immediately after em.persist(e) seems to work (although I'm not sure about the performance hit of flushing every time). This can be encapsulated as a wrapping persist ... during persist by default (when using the AUTO strategy or not specifying strategy) is performance
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A few questions on object database design

are easier to perform. Intuitively, I created an entity class called player and stored ... there are advantages and disadvantages in each method. In many cases using embedded objects improves performance ... the performance of your application, you should use them to check what is better.
Issue
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Database File Encryption

using an encrypted file system, but you will pay a performance penalty.  This also means that the entire DB is encrypted which is okay, but if performance is an issue and only a small percent of your data ... ). In our world, not a lot of data needs to be encrypted, so performance for the majority
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1

Index causes increased memory usage

.  While this improved query performance considerably, we have noted that our database application is consuming ... , but that may slow performance. To understand the problem better you will have to provide information from ... ."  What would be an appropriate number of threads for the processing thread pool in order to get good performance for our 8
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JPA vs JDO - which is more efficient for OneToMany queries?

I'm curious about the trade offs between JDO and JPA. Seems to me that JDO will perform better ... , is there a performance hit? ie: with the JDO version you have essentially an index from ... ), or b) Use JPA with an inverse reference (Order.customer) ? If no performance difference, then JDO
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1

Level 2 cache not hit in @ManyToOne

my app). "user" should also be taken from L2 cache, shouldn't it? Otherwise...it's a huge performance ... cache is to improve performance mainly by minimizing client server round trips. Therefore, retrieval ... that round trip, bypassing the L2 cache, usually without performance penalty. You can change