Folks,

I'm not entirely convinced yet that we have strong enough reasons to
justify the effort switching from OpenJPA to e.g. EclipseLink.

Glancing over
https://github.com/spring-projects/spring-framework/issues/20584, I'm
unclear if it concludes that Spring Framework actually formally completely
dropped support for OpenJPA, or if with OpenJPA 3.0.0 they refrained?
There's also a discussion about "Spring core" vs "shipping
OpenJpaVendorAdapter with OpenJPA 3.0 itself", and
https://github.com/spring-projects/spring-framework/issues/18997 says,
quote: "OpenJPA 3.0 should work fine with standard JPA 2.1 integration in
Spring, i.e. simply without a JpaVendorAdapter, just like DataNucleus does
as well (which we never shipped an adapter for). If anything does not work
out of the box there, please raise it in a separate ticket; we'll sort it
out ASAP." and "Everything seems to work,"

Has someone actually tested and hit any specific real problems with OpenJPA
and current Spring versions?

FYI via https://github.com/apache/fineract/pull/608 I seem to be able to
run OpenJPA even on Java 11 (ASM upgraded).

Best,
M.

PS: Just for "full disclosure" - I was one of the very first users of
OpenJPA back when it was SolarMetric Kodo JDO - anyone here old enough to
remember those days? ;-)  Many moons ago I contributed
https://openjpa.apache.org/openjpaeclipseenhancementbuilder.html.  Also FYI
http://www.vorburger.ch/corejdo/ or
http://blog1.vorburger.ch/2008/08/testing-openjpa-sql-statements-using.html
- oh the good ol' days.


On Tue, Jul 9, 2019 at 12:24 PM Marta Jankovics <[email protected]>
wrote:

> Hi All,
>
> I have experience with Hibernate, EclipseLink and OpenJPA. Hibernate is
> not an option, as you wrote in the chain below, although it is the default
> JPA implementation.
>
> Comparing EclipseLink and OpenJPA I vote for EclipseLink because of its
> better performance, transaction handling and no computability issues.
>
> I read some articles now about DataNucleus and as a conclusion I would
> exclude it:
>
> https://s3-eu-west-1.amazonaws.com/presentations2012/50_presentation.pdf
> (2012))
>
>
> https://www.researchgate.net/publication/313263324_Review_on_ORM_based_JPA_implementations
> (2016)
>
>
> https://pdfs.semanticscholar.org/5db6/f9d267a361debc5ddf7daf61cce82d7cdd5d.pdf
> (2017)
>
> "Very smart policies for collections."
>
> "However, in terms of performance prospect DataNucleus is a dominant JPA
> implementation but due to the *high complexity* and *lack of audience*,
> it is *not a preferred API*. Another notable problem with DataNucleus was
> the *lack** of* proper *documentation* support."
>
> "With DataNucleus JPA we observed a significant, and unexpected, *degradation
> of performance* and outofmemory exceptions, particularly with heavy
> workloads.
> *Memory leaks* with DataNucleusJPA"
>
> Thanks,
>
> Márti
> On 2019. 07. 05. 18:10, Ed Cable wrote:
>
> [To: Marta] Are you able to add your thoughts on this discussion?
>
> Ed
>
>
On Mon, Jul 1, 2019 at 8:48 AM Awasum Yannick <[email protected]> wrote:

> Hi Graham,
>
> +1 EclipseLink as its supported by spring 4.x and latest spring versions
> and compatible with Apache license. Our upgrade to Spring 5.x or 6.x will
> be easier.
>
> We dont want to build and maintain our own integration of OpenJPA with
> Spring 5 or 6 in the future.
>
> On Mon, Jul 1, 2019 at 7:40 AM Juhan Aasaru <[email protected]> wrote:
>
>> Hi!
>>
>> Good job starting the discussion.
>> Based on your arguments I also see EclipseLink as the best solution.
>> I also found one more argument for using EclipseLink - it supports
>> multi-tenancy:
>>
>> https://www.eclipse.org/eclipselink/documentation/2.7/solutions/multitenancy.htm#CHDBJCJA
>>
>> Juhan
>>
>> Kontakt Ebenezer Graham (<[email protected]>) kirjutas
>> kuupäeval E, 1. juuli 2019 kell 07:09:
>>
>>> Hello Devs,
>>>
>>> I have started this thread to discuss the JPA implementation to adopt as
>>> we work towards making Fineract CN Apache compliant as well as to ensure
>>> that we are all aligned as a community.
>>>
>>> I am currently working on the migration to OpenJPA as my GSoC project.
>>> However, a number of red flags as well and requests from other community
>>> members has made it critical to start this thread.
>>>
>>> As most of you know, we can't use Hibernate as it's not compliant
>>> therefore, it's essential that we migrate to an equally good ORM.
>>>
>>> *Our options:*
>>> 1. EclipseLink - EPL 1.0 & BSD
>>> 2. OpenJPA - Apache 2.0
>>> 3. DataNucleus - Apache 2.0
>>>
>>> Not recommended
>>> 4. iBatic - Apache 2.0 (still functional but retired
>>> https://ibatis.apache.org/)
>>> 5. TopLink - CDDL (category B license, and simply extend EclipseLink)
>>>
>>> I used the following criteria in the following order of priority.
>>> 1. License
>>> 2. Implementation's performance with respect to PostgreSQL
>>> 3. Support in Spring as well as ORM Documentation
>>> 4. Project Maturity
>>>
>>> Right off the bat, I suggest the adoption of EclipseLink
>>> <https://wiki.eclipse.org/EclipseLink> based on new insights
>>> discovered, re-evaluation of our options, and compatibility issues
>>> discovered whiles migrating to OpenJPA.
>>>
>>> *Why EclipseLink?  *
>>> According to JPA Performance benchmark -
>>> http://www.jpab.org/All/All/All.html EclipseLink is the Most Efficient
>>> ORM (amongst our valid options) when persisting to PostgreSQL and even
>>> outperforming Hibernate.
>>>
>>> Performance Summary (with respect to Postgres)
>>> EclipseLink - 10.5
>>> Hibernate -  9.1
>>> OpenJPA - 6.5
>>> DataNucleus - 6.0
>>>
>>> *Issues with OpenJPA.*
>>> 1. Spring dropped support back in 2017 and requests to resume support
>>> was declined earlier this year
>>> https://github.com/spring-projects/spring-framework/issues/20584. There
>>> is no guarantee when it will be back in newer versions of Spring.  Spring 5
>>> for instance no longer includes the OpenJpaVendorAdaptor. Therefore, future
>>> upgrade of Fineract CN will become an issue.
>>>
>>> 2. OpenJPA has been lagging behind - the stable version for spring
>>> supports up to JDK 1.6 (although v3.0.0+ is working to resolve this issue).
>>>
>>> 3. Bugs and compatibility issues with other libraries. I have first-hand
>>> experience with it and it's not pleasant.
>>>
>>> *Why not DataNucleus?*
>>> It is not supported in Spring 4.x and its implementation will require us
>>> to completely heavily refactor the JPA Layer in Fineract CN on top of that,
>>> it's the slowest.
>>>
>>> Looking forward to your recommendations and your own evaluations.
>>> --
>>>
>>> *Regards*
>>>
>>

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