toString(), equals() and hashCode() in JPA entities

Many users have generated toString, equals() and hashCode() methods in their JPA entities.
But most times they underestimate what impact that can have.

This blog post post is inspired by a chat I had with Gavin King and Vlad Mihalcea.

Preface: I like to emphase that I take a big focus on keeping the customer code portable across different JPA vendors. Some ‘Uber trick’ might work in one JPA vendor and totally mess up the others. Each JPA provider is broken in it’s own very special way. Trust me, I know what I am talking about from both a user and a vendor perspective… The stuff I show here is the least common denominator for JBoss Hibernate, EclipseLink and Apache OpenJPA. Please shout out if you think some of the shown code does not work on one of those JPA containers.


What’s wrong with most toString() methods in entities?
Well, most of the times developers just use the ‘generated toString’ shortcut to create this method. And that means that the generated toString() method usually just reads all the attributes of your entity and prints it.

What happens if you touch an attribute really depends in a high degree which ‘mode’ your JPA provider runs in. In Hibernate you often have the pure class. In that case not much will happen if you only read the attributes which are not Collections etc. By ‘using attributes’ I mean this.fieldname and not using getters like this.getFieldname(). Simply because Hibernate does not support lazy loading for any other fields in that mode. However, if you touch a @OneToMany or an @ElementCollection field then you will force lazy loading on the first time toString() gets invoked. It might also behave different if you use the getters instead of reading the attributes.

And if you use EclipseLink, Apache OpenJPA or even Hibernate in byte-code weaving mode or if you get a javassist proxy from Hibernate(e.g from em.getReference()) then you are in even deeper troubles. Because in that case touching the attributes might trigger lazy loading for any other field as well.

I tried to explain how the enhancement or ‘weaving’ works in JPA in a blog post many years ago Parts of it might nowadays work a tad different but the most basic approach should still be the same.

Note that OpenJPA will generate a toString() method for you if the entity class doesn’t have one. In that case we will print the name of the entity and the primary key. And since we know the state of the _loaded fields we will also not force generating a new PK if the entity didn’t already load one from the sequence.
According to Gavin and Vlad Hibernate doesn’t generate any toString(). I have no clue whether EclipseLink does.

For other JPA implementations than Apache OpenJPA I suggest you provide a toString which looks like the following

public String toString() {
    return this.getClass().getSimpleName() + "-" + getId();

And not a single attribute more.

equals() and hashCode()

This is where Vlad, Gavin and I really disagree.
My personal opinion is that you shall not write own equals() nor hashCode() methods for entities.

Vlad did write a blog post about equals() and hashCode() in the past

As you can see it’s not exactly easy to write a proper equals() and hashCode() method for JPA entities. Even Vlad’s advanced version does have holes. E.g. if you use em.getReference() or em.merge().
In any case, there is a point where Gavin, Vlad and I agree upon: generating equals() and hashCode() with IDEs is totally bollocks for JPA entities. It’s always broken to compare *all* fields. You would simply not be able to update your database rows 😉

IF you like to write a equals() method then compare the ids with a fallback on instance equality. And have the hashCode() always return zero as shown in Vlad’s blog.

Another way is to generated a UUID in the constructor or the getId() method. But this is pretty performance intense and also not very nice to handle on the DB side (large Strings as PK consume a lot more storage in the indexes on disk and in memory)

Using ‘natural IDs’ for equals()

That sounds promising. And IF you have a really good natural ID then it’s also a good thing. But most times you don’t.

So what makes a good naturalId? It must adhere to the following criteria:

  • it must be unique
  • it must not change

Sadly most natural IDs you think of are not unique. The social security number (SSN) in most countries? Hah, not unique! Really, there are duplicates in most countries…
Also often used in examples: the ISBN of a book. Toooo bad that those are not unique neither… Sometimes the same ISBN references different books, and sometimes the same book has multiple ISBNs assigned.

What about immutability? Sometimes a customer does not have a SSN yet. Or you simply don’t know it YET. Or you only know it further down the application process. So the SSN is null and only later get’s filled. Or you detect a collision with another person and you have to assign one of them a new SSN (that really happens more often than you think!). There is also the case where the same physical person got multiple SSN (happens more frequent as well).

Many tables also simply don’t have a good natural ID. Romain Manni-Bucau came up with the example of a Blog entry. What natural ID does a blog entry have? The date? -> Not unique. The title? -> can get changed later…

Why do you need equals() and hashCode() at all?

This is a good question. And my answer is: “you don’t !”

The argument why people think it’s needed for JPA entities is because e.g. having a field like:

private Set others;

A HashSet internally of course uses equals() and hashCode() but why do you need to provide a custom one? In my opinion the one you implicitly derive from Object.class is perfectly fine. It gives you instance-equality. And since per the JPA specification the EntityManager guarantees that you only get exactly one single entity instance for a row in the database you don’t need more. Doubt it? Then read the JPA specification yourself:

"An EntityManager instance is associated with a persistence context. A persistence context is a set of entity instances in which for any persistent entity identity there is a unique entity instance."

An exception where instance equality does not work is if you mix managed with detached entity instances. But that is something you should avoid at any cost as my following examples show.

Why you shouldn’t store managed and detached entities in the same Collection

Why would you do that? Instead of storing entities in a Set you can always use a Map. In that case you again don’t need any equals() nor hashCode() for the whole entity. And even then you might get into troubles.

One example is to have a ‘cache’.
Say you have a university management software which has a Course table. Courses get updated only a few times per year and only by some administrative people. But almost every page in the application reads the information. So what could be more reasonable as to simply store the Course in a shared @ApplicationScoped cache as Map for say an hour? Why don’t I use the cache management provided with some JPA containers? Many reasons. First and foremost they are not portable. They are also really tricky to configure (I’m talking about real production, not a sample app!). And you like to have FULL control over the cache!

So, having a cache is really a great idea, but *please* do not store JPA entities in the cache. At least not as long as they are managed. All is fine as long as you only run it locally and click around on your app and only do unit tests. But under heavy load in production (our app had 5 Mio page hits/day average) you will hit the following problem:

The JPA specification does not allow an EntityManager to be used from multiple threads at the same time. As a managed entity is bound to an EntityManager, this limitation also affects the entities themselves.
So while you do the em.find() and later a coursesCache.put(courseId, course) the entity is still in ‘managed’ mode! And under heavy load it *will* happen that another user gets the still managed entity from the cache before it got detached (which happens at the tx commit or request end, depending on your setup). Boooommm it goes…

How can you avoid that? Simply use a view object. Normally the full database entities with all their gory attribute details and sub-tables are not needed on an overview course list anyway. So you better use a ‘new’ query:

CourseListVO couseViewItem 
  = em.createQuery("SELECT NEW org.myproject.Course(,, c.,...) " +
      " FROM Course AS c WHERE...");
cache.put(courseId, courseViewItem);

By using a ‘new Query’ you will get instances which are not managed by the container. And it’s also much faster and consumes less memory btw.

Oh I’m sure there are things which are still not cosidered yet…

PS: this is not an easy topic as you might be able to judge from looking at the involved people. Gavin is the inventor of Hibernate and JPA, Vlad is the current Hibernate maintainer. And I was involved in the DODS DB layer of Lutris Enhydra in the 90s and am a long time Apache OpenJPA committer (and even the current PMC chair).

Applying interceptors to producer methods

Interceptors are really cool if you have a common problem and like to apply it to without making every single colleague copy the same code over again and again to apply a solution over the whole code base.

In my case it was the urge to log out SOAP and REST invocations to other systems. I also like to add a logCorrelationId via HTTP header to each outgoing SOAP call. You can read more about the background over in my other logCorrelation blog post.

I’ll focus on integrating SOAP clients, but you can easily do the same for REST clients as well.

Integrating a SOAP client in an EE project

Usually I create a CDI producer for my SOAP ports. That way I can easily mock them out with a local dummy implementation by just using CDI’s @Specializes or @Alternative. If you combine this with with Apache DeltaSpike @Exclude and the DeltaSpike Configuration system then you can even even enable those Mock via ProjectStage or a configuration setting.

Consider you have a WSDL and you create a SOAP client with the interface CustomerService.

What we like to get from a ‘consumer’ perspective is the following usage:

public class SomeFancyClass {
  private @Inject CustomerService customerService;

Which means you need a CDI producer method, e.g. something like:

public class CusomerServiceSoapClientProducer {
  @ConfigProperty(name = "myproject.customerService.endpointUrl")
  private String customerServiceEndpointUrl;

  public CustomerService createSoapPort() {
    // generated from the WSDL, e.g. via CXF
    CustomerServiceService svc = new CustomerServiceService();
    CustomerServiceServicePort port = svc.getCustomerServiceServicePort();

    // this sets the endpoint URL during producing.
    ((BindingProvider) port).getRequestContext().
           put(BindingProvider.ENDPOINT_ADDRESS_PROPERTY, customerServiceEndpointUrl);

    return port;

Side note: the whole class could also be @RequestScoped to get the endpoint URL evaluated on every request. We could of course also use the DeltaSpike ConfigResolver programmatically to gain the same. But the whole point of setting the endpoint URL manually is that we don’t need to change the WSDL and have to recompile the project on every server change. We can also use different endpoints for various boxes (test vs production environments, or different customers) that way.

What is this @LogTiming stuff?

Now it becomes interesting! We now have a SOAP client which looks like a regular CDI bean from a ‘user’ point of view. But we like to get more information about that outgoing call. After all it’s an external system and we have no clue how it behaves in terms of performance. That means we like to protocol each and every SOAP call and log out it’s duration. Of course since we not only have 1 SOAP service client but multiple dozen ones we like to do this via an Interceptor!

@Target({ElementType.METHOD, ElementType.TYPE})
public @interface LogTiming {

Applying an Interceptor on a producer method?

Of course the code written above DOES work. But it behaves totally different as many of you will guess.
If you apply an interceptor annotation to a producer method, then it will not intercept the calls to the produced bean!
Instead it will just intercept the invocation of the producer method. A producer method gets invoked when the Contextual Instance gets created. For a @Produces @RequestScoped annotated producer method this will happen the first time a method on the produced CDI bean gets called in the very request (or thread for non-servlet request based threads). And exactly this call gets intercepted.

If we would just apply a stopwatch to this interceptor then we would get the info about how long it took to create the soap client. That’s not what we want! We like to get the times from each and every usage of that CustomerService invocation! So what does our LogTiming interceptor do?

Proxying the Proxy

The trick we apply is to to use our LogTiming Interceptor to wrap the produced SOAP port in yet another proxy. And this proxy logs out the request times, etc. As explained before we cannot use CDI interceptors, but we can use java.lang.reflect.Proxy!:

public class WebserviceLoggingInterceptor {

    private Object wrapProxy(InvocationContext ic) throws Exception {
        Object producedInstance = ic.proceed();
        Class[] interfaces = producedInstance.getClass().getInterfaces();
        Class<?> returnType = ic.getMethod().getReturnType();
        return Proxy.newProxyInstance(ClassUtils.getClassLoader(null), interfaces, new LoggingInvocationHandler(producedInstance, returnType));

This code will register our reflect Proxy in the CDI context and each time someone calls a method on the injected CustomerService it will hit the LogInvocationHandler. This handler btw can also do other neat stuff. It can pass over the logCorrelationId (explanation see my other blog post linked above) as HTTP header to the outgoing SOAP call.

The final LoggingInvocationHandler looks like the following:

public class LoggingInvocationHandler implements InvocationHandler {
    private static final long SLOW_CALL_THRESHOLD = 100; // ms
    private final Logger logger;
    private final T delegate;

    public LoggingInvocationHandler(T delegate, Class loggerClass) {
        this.delegate = delegate;
        this.logger = LoggerFactory.getLogger(loggerClass);

    public Object invoke(Object proxy, Method method, Object[] args) throws Throwable {
        if (EXCLUDED_METHODS.contains(method.getName())) {
            // don't log toString(), hashCode() etc...
            return method.invoke(delegate, args);

        long start = System.currentTimeMillis();

        try {
            // setting log correlation header if any logCorrelationId is set on the thread.
            String logCorrelationId = LogCorrelationUtil.getCorrelationId();
            if (StringUtils.isNotEmpty(logCorrelationId) && delegate instanceof BindingProvider) {
                BindingProvider port = (BindingProvider) delegate;
                Map<String, List> headers = (Map<String, List>) port.getRequestContext().get(MessageContext.HTTP_REQUEST_HEADERS);
                if (headers == null) {
                    headers = new HashMap<>();
                headers.put(LogCorrelationUtil.REQUEST_HEADER_CORRELATION_ID, Collections.singletonList(logCorrelationId));
                port.getRequestContext().put(MessageContext.HTTP_REQUEST_HEADERS, headers);

            // continue with the real call
            return method.invoke(delegate, args);
        finally {
            long duration = System.currentTimeMillis() - start;
            if (duration <= SLOW_CALL_THRESHOLD) {
      "soapRemoteCall took={} ms service={} method={}", duration, delegate.getClass().getName, method.getName());
            else {
                // log a more detailed msg, e.g. with params


Of course this trick only works if the producer method returns an interface! That’s caused by the reflect Proxies are only available for pure interfaces.

I’m trying to remove this limitations by bringing intercepetors for produced instances to CDI-2.0 as well on working on a interceptors spec change to introduce ways to create subclassing proxies as easy as interface proxies. Stay tuned!

What is LogCorrelation?

While working on an article about CDI interceptors on producer methods I mention logCorrelation. I will not go into detail on this topic over at the other blog post as it would be simply too much over there. And this gives a great topic for a separate post anyway. And here we go…

So what is LogCorrelation?

Consider you have a more or less distributed application topology. You might have a server which does maintain customer data. There might be another box handling all the document archive, another one which holds the calculation kernel, etc etc.

Nowadays all people would say that are microservices. 8 years ago all people called it SOA. To be honest I GIVE A SHIT how some sales people name it as all this is around since much longer than I’m working in the industry (which is a whoopie 25 years already). It’s just modular applications talking with each other somehow. Sometimes via SOAP or REST, but maybe even via MessageQueue, shared database tables or file based with batches handling the passing over – to me it doesn’t matter much.

But for all those the problem is the same: Consider a user clicks on some button in his browser or fat client. This triggers an ‘application action’. And this single action might hit the first server, then this server pings another one, etc. Synchronous or asynchronous also doesn’t matter. This might go all over the place in your company and even externally.  At the end something happens and the user most times gets some response. And it is really, REALLY hard to tell what’s wrong and where it went wrong if something doesn’t work as expected or returns wrong results. Often you don’t even have a clue which servers were involved. And if your whole application starts to behave ‘laggy’ then you will have a hard time judging which system you need to tinker with.

Now how cool would it be if you could follow this single action over all the involved servers?

And this is exactly what logCorrelation does!

What is the trick?

The trick is really plain simple. Each ‘action’ gets an own unique logCorrelationId. That might be a UUID for example. The only requirement is that it’s ‘decently’ unique.

If a server gets a request then he checks if there was a logCorrelationId passed to him. If so, then he takes this id and stores it in a ThreadLocal. If there was no id passed, then this is a ‘new’ action and we generate a fresh logCorrelationId. Of course this logCorrelationId will also get set as e.g. HTTP header for all subsequent outgoing HTTP calls on this very thread.

Where do I show the logCorrealationId?

Our applications now all handle this logCorrelationId properly, but where can I look at it? What is the benefit of all this?

At my customers I mainly use Apache log4j as logging backend, (often with slf4j as API). The point is that only log4j (and logback, but with way worse performance) support a nice little feature called MDC which stands for Mapped Diagnostic Context.  It is basically a ThreadLocal<Map<String, String>> which will get logged out in each and every line you log out on this very thread.

This log4j feature can also be accessed via the slf4j API. E.g. in a javax.servlet.Filter

MDC.set("correlationId", logCorrelationId);
MDC.set("sessionId", httpSessionId);
MDC.set("userId", loggedInUser.getId());

For enabling it in the log output you need to configure a ConversionPattern:

<log4j:configuration xmlns:log4j="">
    <appender name="console" class="org.apache.log4j.ConsoleAppender">
        <param name="Target" value="System.out"/>
        <layout class="org.apache.log4j.PatternLayout">
            <param name="ConversionPattern" value="%d{ISO8601} [%t] %X{sessionId} %X{userId} %X{correlationId} %-5p %c{2} %m%n"/>

If you logging is configured properly in your company and you funnel all back into log aggregation systems like ELK (OpenSource with commercial support offering) or Splunk (Commercial with limited free offering) then you can now simply follow a single action over all the various systems.

What about non-user requests?

Non user requests can sometimes even be filled with more information. At a few customers we use Camunda BPMN Suite (OpenSource with commercial support). The core has a Thread which basically polls the DB and fetches new tasks to execute from it. Those will then get ‘executed’ in a parallel thread. For those threads we intercept the Executor and fill the logCorrelationId with the camunda jobId which basically is a uuid starting with ‘cam-‘. So once a process task blows up we can exactly figure what went wrong – even on a different server.

Of course this trick is not limited to the process engine…

PS: how does my stuff look like?

Probably it’s also worth sharing my LogCorrelationUtil:

 * Helper for log correlation.
 * @author Mark Struberg
public class LogCorrelationUtil {

    public static final String MDC_CORRELATION_ID = "correlationId";

    private LogCorrelationUtil() {

     * Creates a new log correlation Id ONLY IF there is no existing one!.
     * Takes about 4 uS, because I use a much faster UUID algo
     * @param logEnvironment prefix for the logCorrelationId if a new one has to be created. Determines the environment the uuid got created in.
     * @param existingLogCorrelationId oder {@code null} if there is none yet
    public static String enforceLogCorrelationId(LogEnvironment logEnvironment, String existingLogCorrelationId) {
        if (existingLogCorrelationId != null && existingLogCorrelationId.length() > 0) {
            return existingLogCorrelationId;
        ThreadLocalRandom random = ThreadLocalRandom.current();
        String uuid = new UUID(random.nextLong(), random.nextLong()).toString();

        if (logEnvironment != null) {
            StringBuilder sb = new StringBuilder(60);
            uuid = sb.toString();
        return uuid;

     * @return the logCorrelationId for this thread or {@code null}
    public static final String getCorrelationId() {
        return MDC.get(MDC_CORRELATION_ID);

     * Set the given logCorrelationId for the current Thread.
    public static final void setCorrelationId(String logCorrelationId) {
        MDC.put(MDC_CORRELATION_ID, logCorrelationId);

     * Clears the logCorrelationId from the current Thread.
     * This method MUST be called at the end of each request 
     * to prevent mem leaks!
    public static final void clearCorrelationId() {

The (mostly) unknown story behind javax.ejb.EJBException

Yesterday I blogged about what impact Exceptions do have on JavaEE transactions in EJB.
But there is another funny EJB Exception mechanism waiting for you to get discovered – the javax.ejb.EJBException.

This handling dates back to the times when EJB was mainly intended to be a competition to NeXT Distributed Objects and Microsoft DCOM. Back in those days it was all about ‘Client-Server Architecture’ and people tried to spread the load to different servers on the network. A single EJB back then needed 4 classes and was inherently remote by default.

Only much later EJBs got a ‘local’ behaviour as well. And only in EJB-3.1 the No-Interface View (NIV) got introduced which made interfaces obsolete and are local-only.
But for a very long time remoting was THE default operation mode of EJBs. So all the behaviour was tailored around this – regardless whether you are really using remoting or are running in the very same JVM.

The impact of remoting

The tricky situation with remote calls is that you cannot be sure that every class is available on the client.

Imagine a server which uses JPA. This might throw a javax.persistence.EntityNotFoundException. But what if the caller – a Swing EJB client app – doesn’t have any JPA classes on it’s classpath?
This will end up in a ClassNotFoundException or NoClassDefFoundException because de-serialisation of the EntityNotFoundException will blow up on the client side.

To avoid this from happening the server will serialize a javax.ejb.EJBException instead of the originally thrown Exception in certain cases. The EJBException will contain the original Exceptions stack trace as pure Strings. So you at least have the information about what was going wrong in a human readable format.

If you like to read up the very details then check out 9.4 Client’s View of Exceptions in the EJB specification.

Switching on the ‘Auto Pilot”

Some containers like e.g. OpenEJB/TomEE contain a dual-strategy. We have a ‘container’ (ThrowableArtifact) which wraps the orignal Throwable plus the String interpretation and sends both informations as fallback over the line.

On the client side the de-serialization logic of ThrowableArtifact first tries to de-serialize the original Exception. Whenever this is possible you will get the originally thrown Exception on the client side. If this didn’t work then we will use the passed information and instead of the original Exception we throw an EJBException with the meta information as Strings.

The impact on your program?

The main impact for you as programmer is that you need to know that you probably not only need to catch the original Exception but also an EJBException. So this really changes the way your code needs to be written.
And of course if you only got the EJBException then you do not exactly know what was really going on. If you need to react on different Exceptions in different ways then you might try to look it up in the exception message but you have no type-safe way anymore. In that case it might be better to catch it on the server side and send an explicit @ApplicationException over the line.

When do I get the EJBException and when do I get the original one?

I’d be happy to have a good answer myself 😉

My experience so far is that it is not well enough specified when each of them gets thrown. But there are some certain course grained groups of container behaviour:

  • Container with Auto-Pilot mode; Those containers will always try to give you the original Exception. And only if it is really not technically possible will give you an EJBException. E.g. TomEE works that way.
  • Container who use the original Exception for ‘local’ calls and EJBException for remote calls.
  • Container who will always give you an EJBException – even for local invocations. I have not seen those for quite some time though. Not sure if this is still state of the art?

Any feedback about which container behaves what way is welcome. And obviously also if you think there is another category!

Transaction handling in EJBs and JavaEE7 @Transactional

Handling transactions in EJBs is easy, right? Well, in theory it should be. But how does the theory translate into reality once you leave the ivory tower?

I’ll show you a small example. Let’s assume we have 2 infrastructure service EJBs:

public class StorageServiceImpl implements StorageService {
  private @EJB CustomerService customerService;
  private @PersistenceContext EntityManager em;

  public void chargeStorage(int forYear) throws CustomerNotFoundException {
    Customer c = customerService.getCurrentCustomer(); 

And now for the CustomerService which is an EJB as well:

public class CustomerServiceImpl implements CustomerService {
  public Customer getCurrentCustomer() throws CustomerNotFoundException {
    // do something if there is a current customer
    // otherwise throw a CustomerNotFoundException

The Sunshine Case

Let’s first look at what happens if no problems occur at runtime.

In the normal operation mode some e.g. JSF backing bean will call storageService.chargeService(2015);. The implicit transaction interceptor will use a TransactionManager (all done in the interceptor which you do not see in your code) to check whether a Transaction is already open. If not it will open a new transaction and remember this fact. The same check will happen in the implicit transaction interceptor for the CustomerService.

When leaving CustomerService#getCurrentCustomer the interceptor will recognize that it didn’t open the transaction and thus will simply return. Otoh when leaving StorageService#chargeStorage it’s interceptor will commit the transaction and close the EntityManager.

Broken?: Handling checked Exceptions

Once we leave the sunny side of the street and hit some problems the whole handling start to become messy. Let’s look what happens if there is a checked CustomerNotFoundException thrown in CustomerService#getCurrentCustomer. Most people will now find their first surprise: The database changes done in storeNiceLetterInDb() will get committed into the database.

So we got an Exception but the transaction still got committed? WT*piep*!
Too bad that this is not a bug but the behaviour is exactly as specified in “9.2.1 Application Exceptions” of the EJB specification:

An application exception does not automatically result in marking the transaction for rollback unless the ApplicationException annotation is applied to the exception class and is specified with the rollback element value true…

So this means we could annotate the CustomerNotFoundException with @javax.ejb.ApplicationException(rollback=true) to force a rollback.
And of course we need to do this for ALL checked exceptions if we like to get a rollback.

Broken?: Handling unchecked Exceptions

The good news upfront: unchecked Exceptions (RuntimeExceptions) will usually cause a rollack of your transaction (unless annotated as @AppliationException(rollback=false) of course).

Let’s assume there is some other entity lookup in the code and we get a javax.persistence.EntityNotFoundException if the address of the customer couldn’t be found. This will rollback your transaction.

But what can we do if this is kind of expected and you just like to use a default address in that case? The natural solution would be to simply catch this Exception in the calling method. In our case that would be a try/catch block in StorageServiceImpl#chargeStorage.

That’s a great idea – but it doesn’t work in many containers!

Some containers interpret the spec pretty strictly and do the Exception check on _every_ layer (EJB spec 9.3.6) . And if the interceptor in the CustomerService detects an Exception then the implicit EJB interceptor will simply roll back the whole transaction and mark it as “rollbackOnly”. Catching this Exception in an outer level doesn’t help a bit. You will not get your changes into the database. And if you try to do even more on the database then you will blow up again with something like “The connection was already marked for rollback”.

And how is that with @javax.transaction.Transactional?

Basically the same like with EJBs. In my opinion this was a missed chance to clean up this behaviour.
You can read this up in chapter 3.6 of the JTA-1.2 specification.

The main difference is how to demarcate rollback vs commit exceptions. You can use the rollbackOn and dontRollbackOn attributes of @Transactional:

@Transactional(rollbackOn={SQLException.class}, dontRollbackOn={SQLWarning.class})

Now what about DeltaSpike @Transactional?

In Apache DeltaSpike @Transactional and it’s predecessor Apache MyFaces CODI @Transactional we have a much cleaner handling:

Exceptions only get handled on the layer where the transaction got opened. If you catch an Exception along the way than we do not care about it.

Any Exception on the outermost layer will cause a rollback of your transaction. It doesn’t matter if it is a RuntimeException or a checked Exception.

If there was no Exception in the outermost interceptor then we will commit the transaction.

PS: please note that I explicitly used interfaces in my samples. Otherwise you will get NIV (No Interface View) objects which again might behave slightly different as they use a totally different proxying technique and default behaviour. But that might be enough material for yet another own blog post.
PPS: I also spared you EJBs with TransactionManagementType.BEAN. That one is also pretty much non-portable by design as you effectively cannot nest them as it forces you to either commit or rollback the tx on every layer. Some containers work fine while others really force this.

The right Scope for JBatch Artifacts

In my recent JavaLand conference talk about JSR-352 JBatch and Apache BatchEE I briefly mentioned that JBatch Artifacts should have a scope of @Dependent (or Prototype scope if you are using Spring). Too bad there was not enough time to dig into the problem in depth so here comes the detailed explanation.

What is a JBatch Artifact

A JBatch batch needs a Job Specification Language XML file in META-INF/batch-jobs/*.xml files. These files describes how your batch job is built up.

Here is a small example of how such a batch JSL file could look like

<job id="mysamplebatch" version="1.0" xmlns="">
  <step id="mysample-step">
      <listener ref="batchUserListener" >
        <property name="batchUser" value="#{batchUser}"/>
    <batchlet ref="myWorkerBatchlet">
        <property name="inputFile" value="#{inputFile}"/>

In JSR-352 an Artifact are all pieces which are defined in your JBatch JSL file and get requested by the container. In the sample above this would be batchUserListener and myWorkerBatchlet.

The following types can be referenced as Batch Artifacts from within your JSL:

  • Batchlets
  • ItemReader
  • ItemProcessor
  • ItemWriter
  • JobListener
  • StepListener
  • CheckpointAlgorithm
  • Decider
  • PartitionMapper
  • PartitionReducer
  • PartitionAnalyzer
  • PartitionCollector

The Batch Artifact Lifecycle

The JBatch spec is actually pretty clear what lifecycle needs to get applied on Batch Artifacts:

11.1 Batch Artifact Lifecycle
All batch artifacts are instantiated prior to their use in the scope in which they are declared in the Job XML and are valid for the life of their containing scope. There are three scopes that pertain to artifact lifecycle: job, step, and step-partition.
One artifact per Job XML reference is instantiated. In the case of a partitioned step, one artifact per Job XML reference per partition is instantiated. This means job level artifacts are valid for the life of the job. Step level artifacts are valid for the life of the step. Step level artifacts in a partition are valid for the life of the partition.
No artifact instance may be shared across concurrent scopes. The same instance must be used in the applicable scope for a specific Job XML reference.

The problem is that whenever you use a JavaEE artifact then you might get only a proxy. Of course the reference to this proxy gets thrown away correctly but the instance behind the proxy might survive. Let’s look at how this works internally.

How Batch Artifacts get resolved

A JBatch implementation can provide it’s own mechanism to load the artifacts. This is needed as it is obviously different whether you use BatchEE with CDI or if you use Spring Batch (which also implements JSR-352).
In general there are 3 different ways you can reference a Batch Artifact in your JSL:

  1. Via a declaration in an optional META-INF/batch.xml file. See the section 10.7.1 of the specification for further information.
  2. Via it’s fully qualified class name.
    In BatchEE we first try to get the class via BeanManager#getBeans(Type) and BeanManager#getReference. If that doesn’t give us the desired Contextual Reference (CDI proxy) then we simply call ClassLoader#loadClass create the Batch Artifact with newInstance() and apply injection into this instance
  3. Via it’s EL name. More precisely we use BeanManager#getBeans(String elName) plus a call to BeanManager#getReference() as shown above.

We now know what a Batch Artifact is. Whenever you are on a JavaEE Server you will most likely end up with a CDI or EJB Bean which got resolved via the BeanManager. If you are using Spring-Batch then you will most times get a nicely filled Spring bean.

The right Scope for a Batch Artifact

I’ve seen the usage of @javax.ejb.Stateless on Batch Artifacts in many samples. I guess the people writing such samples never used JBatch in real production yet 😉 Why so? Well, let’s look at what would happen if we implement our StepListener as stateless EJB:

@javax.inject.Named // this makes it available for EL lookup
public class BatchUserListener implements StepListener {
  private String batchUser;

  public void beforeStep() throws Exception {

  public void afterStep() throws Exception {

Now let’s assume that the BatchUserListener gets not only used in my sample batch but in 30 other batches of my company (this ‘sample’ is actually taken from a HUGE real world project where we use Apache BatchEE since over a year now).

What will happen if e.g. a ‘DocumentImport’ batch runs before my sample batch? The first batch who uses this StepListener will create the instance. At the time when the instance gets created by the container (and ONLY at that time) it will also perform all the injection. That means it will look up the ‘batchUser’ parameter and injects it into my @BatchProperty String. Let’s assume this DocumentImport batch uses a ‘documentImportUser’. So this is what we will get injected into the ‘batchUser’ variable;

Once the batch step is done the @Stateless instance might be put back into some pool cache. And if I’m rather unlucky then exactly this very instance will later get re-used for mysample-step. But since the listener already exists there will no injection be performed on that instance. What means that the steplistener STILL contains the ‘documentImportUser’ and not the ‘mySampleUser’ which I explicitly did set as parameter of my batch.

The very same issue also will happen for all injected Variables which do not use proxies, e.g.:

  • @Inject StepContext
  • @Inject JobContext

TL;DR: The Solution

Use @Dependent scoped beans for your Batch Artifacts and only use another scope if you really know what you are doing.

If you like to share code across different items of a Step or a Job then you can also use BatchEE’s @StepScoped and @JobScoped which is available through a portable BatchEE CDI module



I was banging my head against the wall for the last few days when trying to solve a few tricky issues we saw with EAR support over at Apache DeltaSpike. I’m writing this up to clean my mind and to share my knowledge with other EAR-pig-wrestlers…

The EAR ClassLoader dilemma

EARs are a constant pain when it comes to portability amongst servers. This has to do with the fact that JavaEE still doesn’t define any standards for visibility. There is no clear rule about how the ClassLoaders, isolation and visibility has to be set up. There is just as single paragraph (JavaEE7 spec 8.3.1) about which classes you might probably see.

There are 2 standard ClassLoader setups we see frequently in EARs.
For the sake of further discussion we assume an EAR with the following structure:

├── some-ejb.jar
├── lib
│   ├── some-shared.jar
│   └── another-shared.jar
├── war1.war
│   └── WEB-INF
│       ├── classes 
│       └── lib
│           └── war1-lib.jar
└── war2.war
    └── WEB-INF
        ├── classes 
        └── lib
            └── war2-lib.jar

Flat ClassLoader

The whole EAR is served by just a single flat ClassLoader. If you have 2 WARs inside your application then the classes in each of it can see each other. And also the classes in the shared EAR lib folder can see. This is e.g. used in JBoss-4 (though not from the beginning). You can also configure most of the other containers to use this setup for your EAR. But nowadays it’s hardly a default anymore (and boy is that good!)

Hierarchic ClassLoader

This is the setup used by most containers these days – but it’s still not a mandated by the spec! The Container will provide a shared EAR Application ClassLoader which itself only contains the shared ear libs. This is the parent ClassLoader of all the ClassLoaders in the EAR. Each WAR and ejb-jar inside your EAR will get an own child WebAppClassLoader.

This means war2 doesn’t see any classes or resources from war1 and the other way around. It further means that the shared libs do not see the classes of war1 nor war2, etc!

If you need some caches in your shared libs, then you need to rely on the ThreadContextClassLoader (TCCL) as outlined in JavaEE 7 paragraph 8.2.5. While this section is about “Dynamic Class Loading” it also is valid for caches and storing other dynamic information in static variables. Otherwise you end up mixing values from war1 and probably re-use them in war2 (where you will get a ClassNotFound exception). Even if your 2 WARs contain the same jar (e.g. commons-lang.jar) the Class instances are different as they come from a different ClassLoader. If you store those in a shared-lib jar then you most probably end up with the (in)famous “Cannot cast class Xxx to class Xxx”.

One common solution to this problem will look something like:

public class MyInfoStore {
  private Map<ClassLoader, Set<Info>> infoMap;

  public void storeInfo(Info info) {
    ClassLoader tccl = Thread.currentThread().getContextClassLoader(); // probably guarded for SecurityManager
    infoMap.put(tccl, info);

Of course you must really be careful to clean up this Map during shutdown. In CDI Applications you can use the @Observes BeforeShutdown event to trigger the cleanup.

The impact on us programmers

These various scenarios make it really hard to write any form of portable framework who runs fine inside of EARs. This is not only true for client frameworks but also for container frameworks itself like CDI and Spring.

Integrating CDI containers in EARs

It is pretty obvious that – mostly due to the lack of a guaranteed default isolation scenario in JavaEE – CDI containers have a hard time in finding a nice and portable handling of CDI beans and Extensions in EARs. I got involved in CDI in late 2008 when the name of the spec still was WebBeans. And that name was taken literally – it originally was only targetting web applications and not EARs. The EAR support only got roughly added (according to some interpretations) shortly before the EE-6 specification got published. So there are multiple reasons why CDI in EARs is not really a first class citizen yet.

To my knowledge there are 3 sane ways how a container can integrate CDI in ears. And of those 3 sane ways, 5 are used in various containers 😉

A.) 1 BeanManager per EAR

All the EAR is handled via 1 BeanManager. This is the way JBoss WildFly seems to handle things. First the BeanManager gets created and all it’s CDI Extensions get loaded (TODO research: all or only the ones from the shared libs?).

In reality it’s a bit more complicated. Weld uses a single BeanManager for each and every JAR in your EAR. Don’t ask me why, but that’s what I’ve seen. Still you only get one set of Extensions for your whole EAR. Keep this in mind.

The TCCL always seems to stay the shared EAR ApplicationClassLoader during boot time. Even while processing the classes of the WAR files. Thus the TCCL during @Observes ProcessAnnotatedType will be the shared EAR ApplicationClassLoader. But if you access your Extensions (or the information collected by them) later at runtime you might end up with a different TCCL. This is especially true for all servlet requests in your WARs. This makes it really hard to store anything with the usual Map<ClassLoader, Set<Info>> trick.

B.) 1 BeanManager per WAR + 1 ‘shared’ BeanManager

Each WAR fully boots up his own BeanManager. The shared EAR libs also get an own BeanManager to serve non-servlet requests like JMS and remote EJB invocations. Classes in shared EAR-libs simply get discovered over again for each WAR. Each WAR also has it’s own set of Extensions (they are usually 1:1 to the BeanManager). This is what I’ve seen in Apache Geronimo, IBM WebSphere and early Apache TomEE containers.

This is a bit tricky when it comes to handling of the @ApplicationScoped context (see CDI-129 for more information) or if you handle EJBs (which are by nature shared across the EAR). WebSphere e.g. seems to solve this by having an own Bean<SomeSharedEarLibClass> instance for each BeanManager (and thus for each WAR) but they share a single ApplicationContext storage and those beans are equals(). Probably they just compare the PassivationCapable#getPassivationId()?

It usually works fairly nice and it allows the usage of most common programming patterns. This also allows to modify classes from shared libs via Extensions you register in a single WAR. The downside is that you have to scan and process all the shared classes over and over again for each WAR. This obviously slows down the application boot time.

Oh this mode strictly seen also conflicts with the requirements for modularity of section 5 of the CDI specification. Overall I’m not very happy with section 5 but it should be mentioned.

C.) Hierarchic BeanManagers

In this case we have an 1:1 relation between a ClassLoader and the BeanManager. The shared EAR libs will get scanned by an EAR-BeanManager. Then each of the WARs get scanned via their own WebAppBeanManager. In contrast to scenario B. these WebAppBaenManagers will only scan the classes of the local WARs WEB-INF/lib and WEB-INF/classes and not the shared ear lib over again. If you need information from shared EAR lib classes then the WebAppBeanManger simply delegates to it’s ‘parent’ EAR-BeanManager. Apache TomEE uses this mode since 1.7.x

There are a few tricks the container vendor need to do in this case. E.g. propagating events and Bean lookups to the parent BeanManager, etc. Or to suppress sending CDI Extension Events to the parent (we recently learned this the hard way – is fixed in TomEE-1.7.2 which is to be released soon).

It also has an important impact on CDI Extension programmers: As your Extensions are 1:1 to the BeanManager we now also have the ClassPath split up into different Extension instances. This works fine for ProcessAnnotatedType but can be tricky in some edge cases. E.g. the DeltaSpike MessageBundleException did collect info about a certain ProducerBean and stored in in the Extension for later usage in @Observes AfterBeanDiscovery. Too bad that in my case this certain ProducerMethod was in a shared ear lib and thus gets picked up by the Extension-instance of the EAR-BeanManager but the ‘consumer’ (the interface annotated with @MessageBundle is in some WARs. And the WebAppBeanManager of this WAR obviously is not the one scanning the ProducerMethod of the class in the shared ear lib. Thus the Extension created a NullPointerException. This will be fixed in the upcoming Apache DeltaSpike-1.2.2 release.

The Impact on poor CDI Extension programmers

TODO: this is a living document. I’ll add more info and put it up review.