i made another test without eclipselink with pure jdbc
1. connect to db
2. count all lines of my table

My guess is this is because you are using the H2 database.

H2 is an in-memory database, not a real persistent database. When it starts up H2 reads in the entire database into memory. Try using a real database instead, such as Derby, Postgres, MySQL, Oracle, etc.

Hello

i make my first steps into the land of JPA and EcliseLink

nsj

Welcome Post

REply

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Filma par sahadža-jogu krievu valodā, ievads, 10 min

Psychologové potvrzují, že pokud si chce člověk udržet celý den dobrou náladu, měl by obejmout minimálně 8 lidí. Nebo aspoň jednomu člověku dát přes držku.

Vtipné hlášky které mnohdy píše sám život

lmao

Testa ziņojums1

Sahadža-Joga un Meditācija. Praktika.

voilà le forum du clan

si vous voyez ce post répondez

If your only sending objects one-way, you probably don't need to weave the client, the weaved fields will just disappear on the client. If you are sending objects both ways, then the weaving is required so the server know the difference between a field being null vs not instantiated.

If you include your persistence unit and eclipselink on the client (with meta-inf persistence.xml) then dynamic weaving should work on the client too. You may need a special or dummy persistence.xm

We have a client server app and we send the eclipselink entities from the server to the client using eclipselink copygroups. It is terribly great in the sense that we don't have to create DTOs as we can decide what parts of the object graph get serialized and we can keep all the business logic and validation in the domain model (entities).

One downside of it is that in order for this to work we need to statically weave the classes as the client side doesn't have a persi

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It should be possible, but sounds like you may have hit a bug (ensure you are using the latest version/patch). Try checking if the bug is already logged on Eclipselink's Bugzilla, vote it up, or log a new one.

You might want to try a @VariableOneToOne instead, then you can store a type indicator to the target subclass. Otherwise you could change the inheritance to JOINED, or remove the relationship, and just query for it.

I have an abstract @Entity with @Inheritance(strategy=TABLE_PERCLASS) called Booking.

Is it possible to have an @Entity Payment.java with a @ManyToOne relationship to the abstract class?

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I would assume you have a @OneToMany in the Locality that is holding the reference and changes. I can't see it recording changes otherwise. What attribute in the ObjectChangeSet is it under?

If it is still tracking changes, then it doesn't know it is detached. You may want to clone it or copy it to force it to be detached. (em.detach(), doesn't really do anything).

James,

Thank you for your help.

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Pozdravljeni,

postavil sem poskusni forum, ker iščem najbolj ugodno rešitev za umestitev na mojo spletno stran.

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The root of your problem is that something is holding onto the old EntityManagers. After the end of the transaction the container should be releasing references to them and they should be free to garbage collect, so it should not matter what they reference.

Ensure that nothing in your app references any of the entity objects, as they can hold a reference to their entity manager and prevent gc. Also what is the @Yam annotation, check that it is not holding a reference. Try using

We are using EL with JTA on glassfish

We are trying to insert about 1M records

Perhaps I'm naive, but I always thought Java serialization must surely be the fastest and most efficient way to serialize Java objects into binary form. After all, Java is on it's 7th major release, so this is not new technology, and since every JDK seems to be faster than the last, I incorrectly assumed serialization must be very fast and efficient by now. I thought, since Java serialization is binary, and language dependent, it must be much faster and more efficient than XML or JSON. Unfort

EclipseLink 2.5 added several new JPQL features and supported syntax.
These include:

• HQL compatibility
• Array expressions

One of the most effective database optimizations is batch writing. Batch writing is supported by most modern databases and part of the JDBC standard and is supported by most JPA providers.

Normal database access consists of sending each DML (insert, update, delete) statement to the database in a separate database/network access. Each database access has a certain amount of overhead to it, and the database must process each statement independently. Batch writing has two forms, dynamic an

Most data models define a sequence generated numeric primary key. This is the most efficient key to use as it is a single efficient guaranteed unique value. Some applications also use a UUID, which is a little less efficient in terms of time and space, but has its advantages in distributed systems and databases.

In JPA the primary key is defined as the JPA Id, and since JPA's object cache is indexed by Id, any queries by this Id obtain cache hits, and avoid database access. This is grea

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Caching is the most valuable optimization one can make in software development. Making something run faster is nice, but it can never beat not having to run anything at all, because you already have the result cached.

JPA caches many things. The most important thing to cache is the EntityManagerFactory, this is generally done for you in JavaEE, but in JavaSE you need to do this yourself, such as storing it in a static variable. If you don't cache your EntityManagerFa

I'm sorry to disappoint those of you looking to see some canned benchmark showing how EclipseLink dominates over all competitors in performance and scalability.

It is not that this would be difficult to do, or that I don't have such a benchmark that shows this, but that I give the JPA community credit for not attributing much weight to a benchmark produced by a single JPA provider that shows their JPA product excels against their competitors. If you really want such a benchmark, scroll to

One of the most common questions I see on JPA, is users wanting to know how to write some specific SQL query as a JPQL query. Some of the time, they just need to learn JPQL, and their SQL can easily be converted to JPQL. Other times their SQL is using one of the many features on SQL that are not provided in JPQL, and their only option is to use a native SQL query.

In EclipseLink 2.4, we have greatly enhanced our JPQL support to support most features of SQL. I refer to EclipseLink's JPQ

JPA deals with objects, and SQL deals with rows. Some developers love JPA because it allows them to use objects in an object-oriented fashion. However, other developers have trouble understanding JPA precisely because it is object-oriented.

Even though object-oriented programming has been popular for several decades, there are still a lot of procedural languages out their. Developers used to procedural programming have a different mindset than object-oriented developers. This