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Queries are slow on a large database

index in which the first component is logTestRunId and the second is Id can be the solution

LEFT JOIN FETCH over empty embedded collection returns no results

It seems that the LEFT JOIN FETCH affected only the last component in the path. Please try build 2

objectdb:2.8.4 - Error occurred during initialization of boot layer


composite index not used in query

to the possible minimum, removing all unnecessary components. For example, try this query: SELECT

disabling JDO in objectdb embedded mode

and unreadable) It seems to me that a "component" orders glassfish to load from my .ear file

ClassCastException during query

the database ObjectDB has to instantiate entity objects and their components. It cannot retrieve

NullPointer when accessing persistent field

.ALL, mappedBy="z_component") @MapKey(name="z_schemeName") private java.util.Map<java.lang.String

Best practise loading big data

efforts. Our product is a mix of components (Java 1.6, Java 1.8, OSGi-plugins , loaded-DLLs - 32 and 64

Sort of very large objects - out of memory

components will be supported in future versions. Meanwhile, consider reversing the priority values, in

Blocked by find

on that front. String ids are part of the app (and legacy components) so are unfortunately difficult to change

Getting Started

ObjectDB is very easy to use. Follow the Getting Started Tutorial and the Quick Tour manual chapter and in minutes you may be able to write and run first Java programs against ObjectDB.

Prior knowledge or experience in database programming (SQL, JDBC, ORM, JPA, etc.) is not required, but some background in using the Java language is essential.

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