Bitter EJB
However, every coin has two sides: the other side of "freedom of choice" is "complexity". Although EJB is an incredibly powerful tool in the hands of experience architects, it is subject to a lot of misuse by novice developers who do not make sound choices. For example, some developers might use a BMP entity bean to map each database table in the system; or access entity beans directly from a distributed layer; or store large amount of data in session objects ... The list goes on. Although those approaches are technically possible, they are hardly the most efficient ways in most cases. Such problems have not only caused many projects to fail but also tarnished EJB's reputation. In fact, the complexity of EJB is often quoted as an argument for other enterprise platforms.
For EJB developers, it is crucial to learn from other people's experiences and follow proven best practices. That helps to reduce the complexity of the platform. Manning's "Bitter EJB" is a very timely book written by well-known experts in the EJB field: Bruce Tate, Mike Clark, Bob Lee and Patrick Linskey. Unlike other "architectural" books, Bitter EJB teaches best practices through common mistakes (anti-patterns). It focuses on "what not to do" but still encourages developers to come up with liberal (everything not forbidden is OK) and innovative solutions. After all, EJB is about flexibility and freedom of choices.
Part I of the book is an overview of anti-patterns in the EJB specification. The EJB specification itself has several major design problems when it first came out in March 1998. EJB v1.1 and v2.0 have gone great length to fix the anti-patterns in the specification. But early adopters may have already developed some anti-patterns in their applications. For new developers, the history also serves as a valuable lesson on what EJB is really for and how different components in the specification fall into their current places. In this part, the authors also provide an excellent recount on what went wrong in the high profile TSS Java PetStore benchmark.
Part II is about session and message-driven beans. Those beans are mainly used in the integration layers. Topics covered in this part include how to deal with large database results, whether to maintain session states, the limitations of XML and much more.
Part III covers EJB persistence. Entity EJBs are probably the most confusing types of components. Many experts have advocated to abolish entity EJBs altogether in favor of other simpler persistence frameworks such as the JDO or even simple JDBC facades. The authors discuss the pros and cons of entity EJBs and covers most leading alternatives. For those who must use entity EJBs, this book also offers useful advices on a range of topics including how to reduce round trips, shorten primary keys and handle expensive database joins etc.
Part IV covers broader topics including performance tuning, testing, building and packaging. One big problem that even EJB developer can recognize the complex deployment descriptors. One chapter of the book is dedicated to reduce code duplication, automate the deployment process and avoid the "integration hell". The last chapter of the book provides an overview of "what's next" in the EJB space.
Overall, it is an excellent book for all EJB developers and other enterprise developers who want to learn from the successes and failures of EJBs."
Peter Wayner's review:
Although there may be as many 36 plots
in all of literature, the compartively new world of computer books has really had only one: this new technology is simple, very
simple, and it will make your life better and your teeth whiter. Bruce
Tate opened up a second plot in his book Bitter
Java by exploring just how even the best programming ideas have
dark sides. Now he's back with three other authors exploring the world
of Bitter EJB.
This book is more fruit from the same tree. Or, to hack the Java MemeStream even more, more beans for the same mill. If you use Enterprise Java Beans (EJB), or think about using them, you should read
this book to see what can go wrong. The title shows how naming schemes can be misleading because either the authors aren't really
that bitter, or because they're focused entirely on EJBs. This book does not belong in
the same camp
with the Java==SUV crowd. These authors are really admirers who just want to warn people how to avoid problems with Java and EJB.
Tate and his new co-authors, Mike Clark, Bob Lee, and Patrick Linskey are all
consultants who seem to use Java a lot, at least when they're not cheating death. One of the cuter grace notes in the book is a collection of war stories from extreme sports that are mixed in as an allegorical taste of what's to come. Before exploring the problems with a Java concept known as enterprise beans, they tell a kayaking story
that ends with the sentence, "Then we hear a loud crunch and look up to see Eric's stern stationary at the top of the drop, revealing the
sitaution that every kayaker dreads the most -- the vertical pin."
After stories like this, the book goes on to explore just how the
very fancy enterprise beans toolkit can produce an application that moves slower
than a stream filled with honey. Each chapter is filled with antipatterns, or lessons about the software learned the hard way.
They're sort of like points on the map that say, "There be dragons here."
The book is divided into four parts. The first section, termed "The
Basics," explores the simple ways that EJB technology goes bad. The
toolkit was heavily hyped as the perfect solution for building business websites that interface seamlessly with large databases. As the business
grew, new servers could be added without grief. Alas, as this
section points out, there are many reasons why an elephant gun can be
the wrong weapon for getting rid of mice in your house.
The next section on "Networks and Messages" describes how good ideas
can turn into slow code when people misuse the fancy tools for scaling
EJBs. In theory, the EJB toolkit will split up processes simply across
multiple machines to handle more customers, but in practice all of the
communication can slow things down considerably.
The section on "EJB Persistence" describes how the much-hyped system
for seamlessly storing away enterprise beans in databases can weigh
down a system. My only beef is that they left out much information on Prevayler, a much-maligned and
misunderstood ultra-light toolkit that is like an anti-EJB persistence
layer in every possible way. I'm enamored with it, if only because it's
such a radical move away from the monolithic APIs like EJBs. While they
liken using EJBs to snowboarding in fresh powder with a 100lb pack on
your back, Prevayler is sort of like boots-only hiking.
The last section isn't about EJBs per se, but similar toolkits and
projects that often get used with EJB. There are antipatterns to avoid with JUnitPref and Ant, too. Some of these suggestions, like some in the rest of the book, aren't terribly new or brillant, but it can't hurt to get another lecture on the importance of testing your code.
The book shines when it's exploring what goes on behind the slick facade of the API. Sure, the EJB toolkit will dutifully load up data
from any object on any server in your farm, but you better be careful invoking some of these these methods because the network is slow. The
book often points out how invoking that one simple method from the sales literature
can start up dozens of sluggish threads. Peeling away the layers helps
understand and explain why the system fails.
Many of these lessons aren't limited to Java or EJB. I wouldn't be
surprised if the group of authors was busy rewriting the book with examples from .NET. Unfortunately, some programming problems are very
hard, and building a toolkit with a simple API won't make them go away.
In fact, the simple appearance can cause more trouble when the
programmer can't understand what the secret mechanism inside is doing.
Almost all of the problems in this book arise from programmers who
believe the sales literature when it tells them not to pay attention to
what that little bot behind the curtain is doing. If you're working
in the world of EJB consulting on big iron, then you've got no choice
but to start thinking about what's behind that curtain.
You can purchase the Bitter EJB from bn.com. Slashdot welcomes readers' book reviews -- to see your own review here, read the book review guidelines, then visit the submission page. Peter Wayner is the author of 13 books including Java RAMBO Manifesto and Translucent Databases.
At least the novice developers can use it. Look at Visual Basic: VB is the most popular language with over 3 million developers simple because anyon can pick it up and get started, this leads to more developers, which leads to more apps, which helps Windows dominate the desktop.
Now a large number of those first projects are garbage apps, but at least they give a starting point. We need languages that novices can jump into, then good books that can help steer them as they continue learning the language.
From the header
almost everything can be done in several different ways
I guess imitation is the finest form of flattery but I think they might be violating perl's IP here.
If I used EJBs, I think I would buy the book. Addressing the anti-patterns first is good, because EJBs won't save the world. But, they are very powerful in certain applications. Many posters have simply stated that EJBs are hard to develop and slow in performance. Some of these claims are true, but reasonable performance can be achieved by being smart in how you use beans, and that's what this book helps you to do.
I'm also glad the book talks about the failed TSS PetStore performance shootout, although I'm curious about how it's presented. Suffice it to say that PetStore really isn't (or at least wasn't then) a good example of the way to do things.
And for those complaining about the difficulty of EJBs, many AppServer vendors provide development tools that make coding EJBs very easy. Although, these tools tend to be really pricey.
How many people have had really good experiences with EJB's? In over 3 years of doing Java development I have yet to hear anyone say anything good about developing with them.
The vast majority of people who I have talked to seem to indicate that they have never come across any project under development where using EJB wouldn't be complete overkill, and that much simpler, easier to maintain, and cheaper solutions seem to be the path chosen.
These aren't all small projects either, I would venture to say all of the people I have spoken with (or projects I have been working on) have been in the $50,000 - $2,000,000 range, and none of the senior developers or architects on these projects have ever dreamed of going anywhere near EJB.
Thoughts?
java guy, tech blog...
A system with complex rules isn't necessarily more powerful, but it's usually more difficult and error prone.
Unfortunately this misconception is very common in computer science. People tend always to create complex APIs/infaces and protocols just to get a "powerful tools". The result is the security and error ridden state of the internet and computers we see these days.
Strangely other hard sciences have seen these problems decades ago (sometimes even centuries ago) and changed their terminology and fundations accordingly. Take e.g. Mathematics with is based on 2nd order logic and set theory. And this started with Godel, Riemann, Abel and Gauss about 120 years ago. We have the same drive now in Physics with Wolfram and co. propagating simple cellular automata. Some people in string theory move in this direction, too.
Unfortunately computer scientists seem to be immune to this amount of common sense right now. Perhaps they need some centuries of fumbling aroung with overly complex model, too, until they get back to earth.
Owner of a Mensa membership card.
For example, most GUI toolkits. Usually, you follow the examples and tutorials as a model, you read through the API docs, and you can build a system that works pretty well. Even many other kinds of enterprise software infrastructure - take TIB Rendezvous, or similar messaging systems - I've written apps with many of them that scale, are efficient and work well on the first try.
I've seen several EJB apps written, and worked on a few myself, and you can read all the damned API docs, follow Sun's examples, read your app server documentation, and so on, and still, you just shoot yourself in the foot. This isn't the first book on patterns and anti-patterns of EJB usage, it's the umpteenth. Why? Because the EJB model was so poorly thought out prior to its implementation that if you follow the specs and build the kind of system they _seem_ to want you to build, it just doesn't work.
Instead you need to have built 10 systems that don't work before you have a clue how to make one that doesn't. Frankly, it seems to me like more trouble than it's worth for what you get (which is basically transaction-aware objects, at least based on my knowledge from the EJB 1.1 era). If you just use session beans, if you don't use entity beans, if you don't do distributed transactions, if you don't use stateful session beans... then you can build an app that works.
Great. I think the J2EE APIs have a lot of great, great stuff in them, but EJB just tweaks me out. Why the hell didn't somebody try using this hunk-a-junk before they released their 1.0 spec, or maybe their 1.1 spec, or howzabout the 2.0 spec? Maybe things are better these days, but if your API looks like it's supposed to provide a pattern for enterprise database applications, shouldn't it actually do that, or somehow redefine what the hell it's really supposed to be for?
It's gotten to the point where people don't think you're doing "J2EE" if they don't see EJBs being used. If you don't need transaction isolation over a distributed system, EJB is overkill.
The infrastructure for those systems are hard to write. The whole point of EJB is to have as much underlying general purpose infrastructure as possible already written for you, so you can plug your ad-hoc business logic on top. This puts development of these systems in the reach of a greater number of developers. But if you can write it yourself, you'll be better off. You'll be in control of more of the code, and won't spend your time messing with tuning parameters and configuration files for someone else's code. One exception is a distributed transactional system where it simply gets to be too much for you to reach your deadline. The other is a system that might be integrated into a larger system like that, that is already based on EJB. (Or the customer might be requesting EJB, maybe for a good reason.)
I sat in on an interview once where we were explaining the architecture of a server product we sell, and the first thing out of the interviewee's mouth was "You don't use EJB? Oh I'm surprised- you should really be using EJB!" That killed the interview right there.
Not just for novices. I'm a "graying ponytail." I cut my teeth in real programing on an IBM 360 in APL. Selectric as the i/o device. "Changable fonts" by changing the typeball and all that.
I'm hardly either command line nor dense mathmatical code shy.
Today I'm a bit of a C+Python snob, but I went through a VB phase when making the switch to graphical shell programing. It was like magic. It got me up on my feet and running, producing really usable apps in the Windows enviroment in no time flat.
I "outgrew" it in fairly short order, but as a stepping stone between "old world" and "new world" I found it invaluable.
KFG
That's how every good slashdot troll should begin. But if there is one technology that is currently at real risk of extinction in the Java world it is EJB. Almost every new J2EE project that I hear about steers clear from EJB towards simpler solutions such as plain servlet/jsp with JDO for persistence. Then you scale it horizontally through mod_jk or a hardware load balancer. No need for confusing (and restrictive) enterprise beans.
Entity EJBs have been critisized many times and rigtfully so. Session beans I find are OK but for me (and my company) it's a case of "I really don't need them given the baggage of complexity and the restrictive nature of their API.
Message driven beans are probably worthy of consideration but there isn't that much to them really. Certainly not something you couldn't implement on your own with plain JMS. I've done it, didn't take much time and it worked just as well as the specc'ed MDBs. And I don't have to run within an EJB container. I can deploy to Tomcat and have SonicMQ running remotely.
Is EJB going to really take off? Seems that the spec was vastly improved but not all problems with the technology have been addressed and then there is the phsycological issue for many developers who had nasty experiences with EJB 1.1 development.
I won't trash EJB they are a certain way to develop enterprise applications. I just find that I end up with much simpler design if I avoid them in lieu of something simpler. My preferred stack at the moment (assuming no legacy systems to integrate with) is as follows:
- Struts
- Hibernate
- GLUE
- Tomcat
- JDOM
- SonicMQ if I need messaging
- Good DBMS
And I'm good to go. Look Ma, no EJB!Your pizza just the way you ought to have it.
To Bitter Java, Bruce Tate's previous and somewhat less targetted book. I read this book and it was absolutely fantastic-- I would recommend it, and based on the pedigree I would say this new book is probably worthy of recommendation as well.
:(
Bitter Java went in exquisite detail into the various ways things can go wrong in Java development, and in Java-like languages, in an attempt to teach good design by counterexample (most of the book concerned real-life examples of what they called "antipatterns"). It is one of the better books on OO design I've come across. Unfortunately I accidentally left my copy on an airplane somewhere between Indianapolis and Dallas
Irritable, left-wing and possibly humorous bumper stickers and t-shirts
Every failed EJB based system (and many failed non-EJB systems) that I've seen had poor database schema design at their heart. In almost every case, engineers familiar with OO design, didn't really bother to learn anything about RDBMS, perhaps because they felt them to be old-fashioned, and tried to ignore the database as much as possible, and put too much logic outside of the database.
There's a lot to EJBs, sure. But you first have to learn the basics of good database design, for without that, you are hosed.
Without a more effective query semantic, prevalence will be limited to a very small subset of the problem space currently solved with O/R solutions.
The knowledge gap appears to be in the analysis of the value of SQL queries in programming and computational problem solving. My assertion: relational programming is actually different from object oriented programming and is more useful than OO for a number of problem types, including asking ad-hoc questions of the data set (very common for reporting, etc.).
This feeling, that SQL and RDBMS's are somehow a "throwback" or an "obsolete" technology reveals a lack of understanding of the relational programming model. This feeling has also led to a lot of "trips around the block" (Yet another OO database, etc.). OO databases don't really catch on for anything because they don't solve real world problems better than relational DB's. Yet time and time again, OO databases are trotted out as the "road to freedom from SQL". SQL, appropriately applied, isn't any more confining than Java or any other programming language, appropriately applied. Unless you take a close look at one of the problems that SQL solves elegantly, however, this statement will not make any sense to you.
Based on my experience, the biggest differences between the OO model and the Relational model include:
Basically, I accept the prevaylance performance numbers, simply because I can make any decent RDBMS perform queries 3000x to 9000x slower than nominal on a sufficiently large dataset by screwing around with the indices. What I don't accept is the claimed significance of your numbers. Who cares if your system is 9000x faster than Oracle + O/R for your carefully chosen example problem if my real world problem is 5x faster but requires 100% more java code and can't easily handle new report types? Most of the time, performance is one of the last aspects of a new system to get any attention, and IMHO, that's exactly the right emphasis for performance in system development.
Let's propose a real business application with dozens of objects in a complex model and then throw a few million instances at it. Now let's start adding queries to the system and let's see who does better? I'll bet that I don't have to try very hard to get the queries 1) written faster and 2) executing faster against the O/R layer than you do against the objects in RAM, but then since I'm choosing the dataset, you know that's not going to be too difficult :)
I'll freely admit that you guys have some really cool ideas, and I *really* like the idea for small apps that already use files for persistent state. Only problem is that none of the products I've worked on in the last ten years fit a mold that prevalence would make easier. If anything, your approach mak
I've been doing J2ee development for the last couple of years and on the whole I don't think EJBs give you many advantages but they do add a lot of confusion.
The main problem is that it isn't clear the best way to use them, there are so many techniques and patterns out there but there is nothing you can point at that is the 'best practice' - it all depends on your application.
The advantages of easily scalability of business objects over multiple servers is useful, but since the database is the main bottleneck in most enterprise applications the scalability of the business logic layer doesn't give you a lot. Also many applications require communication between the various clients (through the server) but since EJBs are designed to be location independent, there is no nice ways of communicating between session EJBs on various machines. It is possible to do it with message EJBs but it's not easy. Another thing to note is that you don't need EJBs to separate the business layer from the presentation layer, it's easy to do with normal classes. You also don't need EJBs to have the business logic running on another server - you can just use RMI.
The automatic EJB transaction management is useful but since it relies on exceptions being thrown and it can get very confusing, and often isn't flexible enough - we seem to resort a lot of the time to UserTransactions.
On top of that a complex database schema seems also impossible to map to Entity EJBs in a useful way. We have 300+ tables and the presentation layer needs all sorts of combinations of relations between the data that mapping the data into 'Entities' just seem to make data access inefficient.
And a completely different set of deployment descriptors for every single EJB container, meaning you can't take your EAR file developed for (say) JBoss and deploy it on WebSphere or BEA. That, to me, is one of the biggest problems with EJB--zero portability of the finished packaged code. Wasn't Java supposed to be 'write once run anywhere'?
GCHQ Quantum Insert installed. If only our tongues were made of glass, how much more careful we would be when we speak
At least the novice developers can use it. Look at Visual Basic ... anyon[e] can pick it up and get started ... Now a large number of those first projects are garbage apps, but at least they give a starting point.
The idea of a novice picking up J2EE is fscking hilarious. J2EE is a framework for Enterprise applications. Almost by definition, these apps are outside the purview of a novice, at least without careful hand-holding by a guru.
Novices - using any language or environment - don't write applications with scalable components, a robust transactional system, a complex persistence mechanism, a high quality messge substrate, and a directory system.
One might as well complain that an F-15C air superiority fighter is inferior to a Cessna 172 because a beginner can fly a Cessna with very little training. If one needs to shoot down a Mig-29, the Cessna is not going to cut it. J2EE developers need to come to the environment after deveoping a sound foundation in other technologies, up to and including RMI and CORBA.