Java Data Objects
Craig Russell, at Sun Microsystems, is the specification lead for JDO and David Jordan, at Object Identity, has been an active member of the JDO expert group since its inception.
Java Data Objects provides a thorough coverage of JDO and explains how it can be used in various architectures. The reader is expected to be familiar with Java but needs only a limited knowledge of databases. In brief, Java Data Objects (JDO) insulates you from needing to know a lot about databases. JDO permits you to develop applications using your preferred Java object-oriented model, without you having to write code to translate between Java objects and how the data is stored in the database--JDO takes care of all of that for you.
The first three chapters provide a high level overview of JDO by walking through a small application, exploring each of its interfaces at a high level, and introducing the architectures it might be used in. Even if you have been away from code for a while you will be able to follow most of the code example. You can stop here if you just want to understand what JDO is all about and where it can be used. These are recommended reading for a manager.
Chapters 4 through 9 are required reading if you want to start developing JDO applications. They really get you into JDO, so you can understand it and start using it. The first three of these cover how to define persistent classes and fields, how they can be mapped to various databases (done for you) and the class enhancement process (which makes a lot of JDO transparent to you). The next three (chapter 7 through 9) bring home the power of JDO. These cover how to connect with a database, establish a transaction context and create, read, query, update and delete database objects. The material is made concrete by illustrating it with a detailed and intuitive example application. This example is carried throughout the book with sections of it explained as the concepts are covered.
Each remaining chapter covers a different JDO concept or feature (including optional features) that were introduced earlier but not covered in detail to keep the earlier chapters more understandable. These remaining topics are identity, lifecycle states & transitions, field management, cache management, nontransactional access and optimistic transactions. You can read these chapters as you feel the need for a more in-depth understanding of these concepts.
The last two chapters explain how to use JDO in an application-server environment and an Enterprise Java Beans environment. These two chapters assume you are already familiar with these environments, but I think a lot of it is understandable even if you are not.
There are five appendices with everything from the lifecycle state transitions to the collected source code for many of the classes used in the example application.
You can purchase Java Data Objects from bn.com. Slashdot welcomes readers' book reviews -- to see your own review here, read the book review guidelines, then visit the submission page.
Would it be possible to add the suggested retail price (MSRP) of a book in a review? :-)
Yes, it can be found by searching the web, but it's just extra comfort brought by a small database tweak.
The ENIAC Demo Competition
I've heard that JDO is much better, tighter solution to O/R mapping than EJB Entity Beans, that the latter are designed to be SO flexible that you can use them as a wrapper to your legacy mainframes, but the former is a lot closer to the problem most Java folks need to solve. Anyone know if that's a reasonable viewpoint?
(For the record, at this point I hate, hate EJBs. I think they're speficially responsible for the failure of multitudinous Java server projects, way to much overhead for 95% of all things you'd want to do in Java on the server, and the bad apple that risks spoiling the whole J2EE barrel.)
SO YOU'RE GOING TO DIE: The Comic for Dealing with Death
First of all, I wouldn't want to hire that developer. Secondly, that is not entirely correct. O/R frameworks are useful in that they provide a consistent interface
I looked into JDO and was excited. Here was a much simpler alternative to EJB. In EJB there are many many things that can go wrong during deployment of beans which leads and quite a bit of replication. YOu define your object once in the bean, once in the remote interface, once in the local interface, etc. It seems to take a while to debug. JDO is better but it requires a class file enhancer. Hibernate is a lot better. There is 1 config file that defines your whole object model and it requires no special class file enhancer. That and unlike EJB it supports inheritance in object models well.
I read the title as "Java Android Complains".
I've said it once, and i'll say it again.
These book reviews on Slashdot, at times informative, really just are letting people know about the book and not as much reviewing that.
This demonstrated is that in the last two months, no book has received less than a 80% approval rating by the author (unless you rate a 'very good' as < 8). It's like Homer Simpson is writing these reviews, "This (book) gets my lowest rating ever, seven thumbs up."
I mean honestly, a review needs to have a few lemons on its record. I think someone should review a Wrox book on Linux and have it summarized with, "This book really gobbled the cob. it wouldn't be fit to line the kitchen floor for my puppy to soil in the evenings."
Instead of calling it 'Slashdot Book Review', it should just be called 'Slashdots list of books that rule'.
That's just my opinion though, I could be wrong.
Before you commit to JDO or entity beans, do yourself a favor and also look at OJB and Hibernate. Both of these object-relational mapping (ORM) tools offer unintrusive presistence to your existing beans (unlike Toplink and Cocobase which require you use their collection types) and don't require you to run a byte-code mangler like JDO.
That is precisely the problem with the majority of non-JDO persistence architectures that use standard reflection (Toplink, Hibernate, CocoBase, Castor). While people tend to get nervous about bytecode enhancement, it is just an additional step in the compilation process.
Bytecode enhancement allows JDO to perform change tracking without intruding on the application. Reading 1000 objects in a transaction and changing a single one, a reflection based framework will need to perform comparisons on each and every field of each of the instances. JDO will just need to do a single one. Reflection-based persistence frameworks are fine for "hello world" applications, or if you do not mind intruding persistence details into the application, but for true transparent and scalable persistence, JDO is the way to go.
Of course, there are many other comparison points between persistence frameworks, such as the degree to which JDO is datastore-agnostic, the number of JDO vendors vs. non-JDO vendors, the issue of JDO being based on an increasingly important standard, the lack of vendor lock-in, etc. Many of these issues are discussed on JDOcentral.com
FUD. The specification was released only one year ago.
and everyone I know who has experience with it feels the same.FUD. See JDOCentral.com and TheServerSide for real-world discussions.
There are several Object-Relational mapping packages for Java out there. Hibernate is another one.
However, I have to say, that I have not found any complete O/R mapping package that implements everything transparently. In specific, I'm talking about recursive map structures, and "long transactions". Most of these packages are aimed towards short lived transactions on one object, or on a unidirectional tree of relationships.
I sunk absolutely OBSCENE amounts of time and effort into trying to make various packages work with a many-to-many self-recursive database structure only to realize it cannot currently be done with the packages out there. I would be glad to be proven wrong.
I would love to be able to keep a cache of a recursive map structure in memory (indefinately!) and have modifications automatically cascade the required updates to all nodes and revoke/expire any checked out nodes.
Finally I gave up trying to cache the actual structure in memory and now I just cache data, descend over the structure in the database for each request (it's not so bad, it turns out to be rather fast anyway).
It's 10 PM. Do you know if you're un-American?
Castor IS NOT Java Data Objects. Caster does not follow the specification for Java Data Objects.
Repeat.
Caster is NOT Java Data Objects
Comparing is not the best way to go.
From what I've heard, Toplink is due to implement somehow the JDO specs in a few months.
Seems they are trying to change the spec (making the "code enhancement" feature optional), since enhancement is not the way they have chosen. And since they are backed by Oracle, their voice has become louder.
Probably there will be two levels of JDO spec : level one for Toplink, level 2 corresponding to JDO as we now know it.
Anyway JDO is the thing all Java developpers have been waiting for, especially those who have tried EJBs : a well designed framework. And the transactionnal cache feature (in some products, like Lido) may lead to excellent perfs for most apps.
"Want to dedicate your valuable life learning a language totally controlled by Sun Microsystems...?"
.NET? The "write in any language we give you, but it's all the same and only runs on Windows" framework. Even C++ is basically controlled by MS now.
Ever heard of
From my experience, Java is much nicer for enterprise-level web applications than anything MS offers. As for desktop apps, it's fruitless to write desktop apps in Java when 95% of your customers are running Windows and MS has meager support for Java, at best. So you may not find Java apps on store shelves, but you don't have to look very hard to find desktop Java in the open source community.
Almost every program I run at work is Java-based and smokes the Windows-only counterparts most people use. So please don't go spouting your "truth" on something you know nothing about.
here we go with the FUD again. "Mangler"??? I suppose you consider javac a "mangler" or aspectj a "mangler". I think the "mangler" you refer to is the bytecode enhancer. What you forgot to mention is what the "mangler" does. Rather than scare people off, I'd like to explain the clear advantage to bytecode enhancement over reflection for dirty detection. Let's say you do a query which returns a single object. Your application then modifies a single field of the object and commits the transaction. Before commit you have to perform "dirty detection" to find out what fields have been dirtied, and need to be updated in the DB. If you don't use an enhancer you have to compare the object, field by field, with either a cached copy of the object, or worse, issue a select into the database to get the old values. The latter is particlularly bad not just for the obvious performance hit, but because it forces the table or rows to be locked for the duration of the transaction, thus making optimistic transactions impossible. Now imaging your select returned 100 objects, or 1000 objects. With an enhancer, the bytecodes for 'putfield' and 'getfield' are replaced with calls to the bvendor provided state manager. The JDO driver knows instantly what fields were dirtied, needs to keep no cached copies and never hits the database with a select before update. Furthermore, with enhancement you don't force the user to extend any classes. There is zero intrusion on the domain model. I understand that Castor, Hibernate, etc. are good open source projects, and very viable. I do, however, think that JDO is elegant and has advantages, on paper at least, over other methods.