For a long time we were developing web applications with ASP.NET and JSF. At present we prefer rich clients and a server with page templates and RESTful web services.

This transition brings technical questions. Consider this one.

Browsers allow to store session state entirely on the client, so should we maintain a session on the server?

Since the server is just a set of web services, so we may supply all required arguments on each call.

At first glance we can assume that no session is required on the server. However, looking further we see that we should deal with data validation (security) on the server.

Think about a classic ASP.NET application, where a user can select a value from a dropdown. Either ASP.NET itself or your program (against a list from a session) verifies that the value received is valid for the user. That list of values and might be other parameters constitute a user profile, which we stored in session. The user profile played important role (often indirectly) in the validation of input data.

When the server is just a set of web services then we have to validate all parameters manually. There are two sources that we can rely to: (a) a session, (b) a user principal.

The case (a) is very similar to classic ASP.NET application except that with EnableEventValidation="true" runtime did it for us most of the time.
The case (b) requires reconstruction of the user profile for a user principal and then we proceed with validation of parameters.

We may cache user profile in session, in which case we reduce (b) to (a); on the other hand we may cache user profile in Cache, which is also similar to (a) but which might be lighter than (at least not heavier than) the solution with the session.

What we see is that the client session does not free us from server session (or its alternative).

A bit history: the first release of this solution was about 9.5 years ago...

Today we've run into a strange situation. One of our clients ask us about automatic conversion of data from mainframe (that were defined as COBOL copybooks) into XML or Java/.NET objects. On our suggestion to use eXperanto, which is well known to him, he stated that he wouldn't like to use a tool of a company that is no more exists...

The situation, in our opinion, become more strange when you consider the following:

• eXperanto (the design-time tool and run-time libraries for Java and .NET) were developed, well tested, and delivered by us to production already several years ago.
• the client bought this set (the tool and libraries).
• the set is in production yet already in another big company, and is used time to time by our company in different migration projects.
• the client talks with developers of this tool and run-time libraries, and he knows about this fact.
• the client uses widely open source solutions even without dedicated vendors or support warranties.

Incidentally, we have found one new implementation of yield return in java that is in the development stage. Sources can be found at https://github.com/peichhorn/lombok-pg/zipball/master. Just to be sure we have copied those sources at other place peichhorn-lombok-pg-0.10.0-39-g384fb7b.zip (you may search "yield" in the archive).

It's broken according to source tracker, but the funny thing is that sources, however different, still resemble our yield return implementation (Yield.jar, Yield.3.7.jar - Indigo, Yield.zip - sources) very much: variable names, error messages, algorithmic structure.

Those programmers probably have forgotten good manners: to reference a base work, at least.

Well, we generously forgive them this blunder.

P.S. our implementation, in contrast, works without bugs.

P.P.S. misunderstanding is resolved. See comments.

Recently one of users of java yield return annotation has kindly informed us about some problem that happened in his environment (see Java's @Yield return annotation update).

Incidentally we have never noticed the problem earlier. Along with this issue we have found that eclipse compiler has changed in the Indigo in a way that we had to recompile the source. Well, that's a price you have to pay when you access internal API.

Updated sources can be found at Yield.zip, and compiled jars at Yield.jar (pre-Indigo), and Yield.3.7.jar (Indigo and probably higher).

See also:

Yield return feature in java
Why @Yield iterator should be Closeable
What you can do with jxom.

There is a problem with XML serialization of BigDecimal values, as we've written in one of our previous articles "BigDecimal + JAXB => potential interoperability problems". And now we ran into issue with serialization of double / Double values. All such values, except zero, serialize in scientific format, even a value contains only integer part. For example, 12 will be serialized as 1.2E+1. Actually this is not contradicts with XML schema definitions.

But what could be done, if you want to send/receive double and/or decimal values in plain format. For example you want serialize a double / BigDecimal value 314.15926 in XML as is. In this case you ought to use javax.xml.bind.annotation.adapters.XmlAdapter.

In order to solve this task we've created two descendants of XmlAdapter (the first for double / Double and the second for BigDecimal), click here to download the sources.

Applying these classes on properties or package level you may manage XML serialization of numeric fields in your classes.

See this article for tips how to use custom XML serialization.

We did not update languages-xom already for many monthes but now we have found a severe bug in the jxom's algorithm for eliminating unreachable code. The marked line were considered as unreachable:

check:
  if (condition)
  {
    break check;
  }
  else
  {
    return;
  }

  // due to bug the following was considered unreachable
  expression;

Bug is fixed.

Current update contains other cosmetic fixes.

Please download xslt sources from languages-xom.zip.

Summary

Languages XOM is a set of xml schemas and xslt stylesheets that allows:

• to define programs in xml form;
• to perform transformations over code in xml form;
• to generate sources.

Languages XOM includes:

• jxom - Java Xml Object model;
• csharpxom - C# Xml Object Model;
• cobolxom - COBOL Xml Object Model;
• sqlxom - SQL Xml Object Model (including several sql dialects);
• aspx - ASP.NET Object Model;

A proprietary part of languages XOM also includes XML Object Model for a language named Cool:GEN. In fact the original purpose for this API was a generation of java/C#/COBOL from Cool:GEN. For more details about Cool:GEN conversion please see here.

As you may know, JAX-WS uses javax.xml.datatype.XMLGregorianCalendar abstract class in order to present date/time data type fields. We have used this class rather long time in happy ignorance without of any problem. Suddenly, few days ago, we ran into a weird bug of its Sun’s implementation (com.sun.org.apache.xerces.internal.jaxp.datatype.XMLGregorianCalendarImpl). The bug appears whenever we try to convert an XMLGregorianCalendar instance to a java.util.GregorianCalendar using toGregorianCalendar() method. I’ve written a simple JUnit test in order to demonstrate this bug:

  @Test
  public void testXMLGregorianCalendar()
    throws Exception
  {    
    SimpleDateFormat formatter = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
    XMLGregorianCalendar calendar = 
      javax.xml.datatype.DatatypeFactory.newInstance().newXMLGregorianCalendar();

    calendar.setDay(1);
    calendar.setMonth(1);
    calendar.setYear(1);
    
    System.out.println("1: " + calendar.toString());

    System.out.println("2: " +
      formatter.format(calendar.toGregorianCalendar().getTime()));
    
    GregorianCalendar cal = new GregorianCalendar(
      calendar.getYear(), 
      calendar.getMonth() - 1, 
      calendar.getDay());
    
    cal.clear(Calendar.AM_PM);
    cal.clear(Calendar.HOUR_OF_DAY);
    cal.clear(Calendar.HOUR);
    cal.clear(Calendar.MINUTE);
    cal.clear(Calendar.SECOND);
    cal.clear(Calendar.MILLISECOND);

    System.out.println("3: " + formatter.format(cal.getTime()));
    
    /*
     * Output:
     * 
     * 1: 0001-01-01
     * 2: 0001-01-03 00:00:00
     * 3: 0001-01-01 00:00:00
     */
  }

As you see, the date 0001-01-01 is transformed to 0001-01-03 after call of toGregorianCalendar() method (see output 2).

Moreover, if we’ll serialize this XMLGregorianCalendar instance to XML we’ll see it as 0001-01-01+02:00 which is rather weird and could be potential problem for interoperability between Java and other platforms.

Conclusion: in order to convert XMLGregorianCalendar value to GregorianCalendar do the following. Create a new instance of GregorianCalendar and just set the corresponding fields with values from XMLGregorianCalendar instance.

A search "java web service session object" has reached our site.

Unfortunately, we cannot help to the original searcher but a next one might find this info usefull.

To get http session in the web service you should add a field to your class that will be populated with request context.

@WebService
public class MyService
{
  @WebMethod
  public int method(String value)
  {
    MessageContext messageContext = context.getMessageContext();
    HttpServletRequest request =
      (HttpServletRequest)messageContext.get(MessageContext.SERVLET_REQUEST);
    HttpSession session = request.getSession();

    // go ahead.
  }

  // A web service context.
  @Resource
  private WebServiceContext context;
}

Last few days we were testing Java web-applications that expose web-services. During these tests we've found few interesting features.

The first feature allows to retrieve info about all endpoints supported by the web-application on GET request. The feature works at least for Metro that implements JAX-WS API v2.x. In order to get such info, a client sends any endpoint's URL to the server. The result is an HTML page with a table. Each row of such table contains an endpoint's data for each supported web-service method. This feature may be used as a web-services discovery mechanism.

The second feature is bad rather than good. JAX-WS API supposes that a developer annotates classes and methods that he/she wants to expose as web-services. Then, an implementation generates additional layer-bridge between developer's code and API that does all routine work behind the scene. May be that was a good idea, but Metro's implementation is imperfect. Metro dynamically generates such classes at run-time when a web-application starts. Moreover, Metro does such generation for all classes at once. So, in our case, when the generated web-based application contains dozens or even hundreds of web-services, the application's startup takes a lot of time.

Probably, Metro developers didn't want to deal with implementation of lazy algorithms, when a web-service is generated and cached on demand. We hope this issue will be solved in next releases.

A while ago we have created a simple cache for Java application. It was modelled like a Map<K, V>: it cached values for keys.

Use cases were:

Cache<String, Object> cache = new Cache<String, Object>();
...
instance = cache.get("key");
cache.put("key", instance);

But now we thought of different implementation like a WeakReference<V> and with map access as additional utility methods.

 Consider an examples:

1. Free standing CachedReference<V> instance.

CachedReference<Data> ref = new CachedReference<Data>(1000, true);
...
ref.set(data);
...
data = ref.get();

2. Map of CachedReference<V> instances.

ConcurrentHashMap<String, CachedReference<Data>> cache =
  new ConcurrentHashMap<String, CachedReference<Data>>();

CachedReference.put(cache, "key", data, 1000, true);
...
data = CachedReference.get(cache, "key");

The first case is faster than original Cache<K, V> as it does not use any hash map at all. The later case provides the same performance as Cache<K, V> but gives a better control over the storage. Incidentally, CachedReference<V> is more compact than Cache<K, V>.

The new implementation is CachedReference.java, the old one Cache.java.

We have updated @Yield annotation processor to support better debug info.

Annotation processor can be downloaded from Yield.zip or Yield.jar.

We also decided to consider jxom's state machine refactoring as obsolete as @Yield annotation allows to achieve the same effect but with more clear code.

JXOM can be downloaded from languages-xom.zip

See also:

Yield return feature in java
Why @Yield iterator should be Closeable
What you can do with jxom.

A method pattern we have suggested to use along with @Yield annotation brought funny questions like: "why should I mark my method with @Yield annotation at all?"

Well, in many cases you may live with ArrayList populated with data, and then to perform iteration. But in some cases this approach is not practical either due to amount of data or due to the time required to get first item.

In later case you usually want to build an iterator that calculates items on demand. The @Yield annotation is designed as a marker of such methods. They are refactored into state machines at compilation time, where each addition to a result list is transformed into a new item yielded by the iterator.

So, if you have decided to use @Yield annotation then at some point you will ask yourself what happens with resources acquired during iteration. Will resources be released if iteration is interrupted in the middle due to exception or a break statement?

To address the problem yield iterator implements Closeable interface.

This way when you call close() before iteration reached the end, the state machine works as if break statement of the method body is injected after the yield point. Thus all finally blocks of the original method are executed and resources are released.

Consider an example of data iterator:

@Yield
public Iterable<Data> getData(final Connection connection)
  throws Exception
{
  ArrayList<Data> result = new ArrayList<Data>();

  PreparedStatement statement =
    connection.prepareStatement("select key, value from table");

  try
  {
    ResultSet resultSet = statement.executeQuery();

    try
    {
      while(resultSet.next())
      {
        Data data = new Data();

        data.key = resultSet.getInt(1);
        data.value = resultSet.getString(2);

        result.add(data); // yield point
      }
    }
    finally
    {
      resultSet.close();
    }
  }
  finally
  {
    statement.close();
  }

  return result;
}

private static void close(Object value)
  throws IOException
{
  if (value instanceof Closeable)
  {
    Closeable closeable = (Closeable)value;

    closeable.close();
  }
}

public void daoAction(Connection connection)
  throws Exception
{
  Iterable<Data> items = getData(connection);

  try
  {
    for(Data data: items)
    {
      // do something that potentially throws exception.
    }
  }
  finally
  {
    close(items);
  }
}

getData() iterates over sql data. During the lifecycle it creates and releases PreparedStatement and ResultSet.

daoAction() iterates over results provided by getData() and performs some actions that potentially throw an exception. The goal of close() is to release opened sql resources in case of such an exception.

Here you can inspect how state machine is implemented for such a method:

@Yield()
public static Iterable<Data> getData(final Connection connection)
  throws Exception
{
  assert (java.util.ArrayList<Data>)(ArrayList<Data>)null == null;

  class $state implements java.lang.Iterable<Data>, java.util.Iterator<Data>, java.io.Closeable
  {
    public java.util.Iterator<Data> iterator() {
      if ($state$id == 0) {
        $state$id = 1;

        return this;
      } else return new $state();
    }

    public boolean hasNext() {
      if (!$state$nextDefined) {
        $state$hasNext = $state$next();
        $state$nextDefined = true;
      }

      return $state$hasNext;
    }

    public Data next() {
      if (!hasNext()) throw new java.util.NoSuchElementException();

      $state$nextDefined = false;

      return $state$next;
    }

    public void remove() {
      throw new java.lang.UnsupportedOperationException();
    }

    public void close() {
      do switch ($state$id) {
      case 3:
        $state$id2 = 8;
        $state$id = 5;

        continue;
      default:
        $state$id = 8;

        continue;
      } while ($state$next());
    }

    private boolean $state$next() {
      java.lang.Throwable $state$exception;

      while (true) {
        try {
          switch ($state$id) {
          case 0:
            $state$id = 1;
          case 1:
            statement = connection.prepareStatement("select key, value from table");
            $state$exception1 = null;
            $state$id1 = 8;
            $state$id = 2;
          case 2:
            resultSet = statement.executeQuery();
            $state$exception2 = null;
            $state$id2 = 6;
            $state$id = 3;
          case 3:
            if (!resultSet.next()) {
              $state$id = 4;

              continue;
            }

            data = new Data();
            data.key = resultSet.getInt(1);
            data.value = resultSet.getString(2);
            $state$next = data;
            $state$id = 3;

            return true;
          case 4:
            $state$id = 5;
          case 5:
            {
              resultSet.close();
            }

            if ($state$exception2 != null) {
              $state$exception = $state$exception2;

              break;
            }

            if ($state$id2 > 7) {
              $state$id1 = $state$id2;
              $state$id = 7;
            } else $state$id = $state$id2;

            continue;
          case 6:
            $state$id = 7;
          case 7:
            {
              statement.close();
            }

            if ($state$exception1 != null) {
              $state$exception = $state$exception1;

              break;
            }

            $state$id = $state$id1;

            continue;
          case 8:
          default:
            return false;
          }
        } catch (java.lang.Throwable e) {
          $state$exception = e;
        }

        switch ($state$id) {
        case 3:
        case 4:
          $state$exception2 = $state$exception;
          $state$id = 5;

          continue;
        case 2:
        case 5:
        case 6:
          $state$exception1 = $state$exception;
          $state$id = 7;

          continue;
        default:
          $state$id = 8;

          java.util.ConcurrentModificationException ce = new java.util.ConcurrentModificationException();

          ce.initCause($state$exception);

          throw ce;
        }
      }
    }

    private PreparedStatement statement;
    private ResultSet resultSet;
    private Data data;
    private int $state$id;
    private boolean $state$hasNext;
    private boolean $state$nextDefined;
    private Data $state$next;
    private java.lang.Throwable $state$exception1;
    private int $state$id1;
    private java.lang.Throwable $state$exception2;
    private int $state$id2;
  }

  return new $state();
}

Now, you can estimate for what it worth to write an algorithm as a sound state machine comparing to the conventional implementation.

Yield annotation processor can be downloaded from Yield.zip or Yield.jar

See also Yield return feature in java.

We're happy to announce that we have implemented @Yield annotation both in javac and in eclipse compilers.

This way you get built-in IDE support for the feature!

To download yield annotation processor please use the following link: Yield.zip

It contains both yield annotation processor, and a test project.

If you do not want to compile the sources, you can download Yield.jar

We would like to reiterate on how @Yield annotation works:

1. A developer defines a method that returns either Iterator<T> or Iterable<T> instance and marks it with @Yield annotation.
2. A developer implements iteration logic following the pattern:
   
   • declare a variable to accumulate results:
       ArrayList<T> items = new ArrayList<T>();
   • use the following statement to add item to result:
       items.add(...);
   • use
       return items;
     or
       return items.iterator();
to return result;
   • mark method's params, if any, as final.
3. A devoloper ensures that yield annotation processor is available during compilation (see details below).
4. YieldProcessor rewrites method into a state machine at compilation time.

The following is an example of such a method:

@Yield
public static Iterable<Integer> generate(final int from, final int to)
{
  ArrayList<Integer> items = new ArrayList<Integer>();

  for(int i = from; i < to; ++i)
  {
    items.add(i);
  }

  return items;
}

The use is like this:

for(int value: generate(7, 20))
{
  System.out.println("generator: " + value);
}

Notice that method's implementation still will be correct in absence of YieldProcessor.

Other important feature is that the state machine returned after the yield processor is closeable.

This means that if you're breaking the iteration before the end is reached you can release resources acquired during the iteration.

Consider the example where break exits iteration:

@Yield
public static Iterable<String> resourceIteration()
{
  ArrayList<String> items = new ArrayList<String>();

  acquire();

  try
  {
    for(int i = 0; i < 100; ++i)
    {
      items.add(String.valueOf(i));
    }
  }
  finally
  {
    release();
  }

  return items;
}

and the use

int i = 0;
Iterable<String> iterator = resourceIteration();

try
{
  for(String item: iterator)
  {
    System.out.println("item " + i + ":" + item);

    if (i++ > 30)
    {
      break;
    }
  }
}
finally
{
  close(iterator);
}

...

private static <T> void close(T value)
  throws IOException
{
  if (value instanceof Closeable)
  {
    Closeable closeable = (Closeable)value;

    closeable.close();
  }
}

Close will execute all required finally blocks. This way resources will be released.

To configure yield processor a developer needs to refer Yield.jar in build path, as it contains @Yield annotation. For javac it's enough, as compiler will find annotation processor automatically.

Eclipse users need to open project properties and:

• go to the "Java Compiler"/"Annotation Processing"
• mark "Enable project specific settings"
• select "Java Compiler"/"Annotation Processing"/"Factory Path"
• mark "Enable project specific settings"
• add Yield.jar to the list of "plug-ins and JARs that contain annotation processors".

At the end we want to point that @Yield annotation is a syntactic suggar, but it's important the way the foreach statement is important, as it helps to write concise and an error free code.

See also
  Yield feature in java implemented!
  Yield feature in java

For some reason we never knew about instance initializer in java; on the other hand static initializer is well known.

class A
{
  int x;
  static int y;

  // This is an instance initializer.
  {
    x = 1;
  }

  // This is a static initializer.
  static
  {
    y = 2;
  }
}

Worse, we have missed it in the java grammar when we were building jxom. This way jxom was missing the feature.

Today we fix the miss and introduce a schema element:

<class-initializer static="boolean">
  <block>
    ...
  </block>
</class-initializer>

It superseeds:

<static>
  <block>
    ...
  </block>
</static>

 that supported static initializers alone.

Please update languages-xom xslt stylesheets.

P.S. Out of curiosity, did you ever see any use of instance initializers?

We could not stand the temptation to implement the @Yield annotation that we described earlier.

Idea is rather clear but people are saying that it's not an easy task to update the sources.

They were right!

Implementation has its price, as we were forced to access JDK's classes of javac compiler. As result, at present, we don't support other compilers such as EclipseCompiler. We shall look later what can be done in this area.

At present, annotation processor works perfectly when you run javac either from the command line, from ant, or from other build tool.

Here is an example of how method is refactored:

@Yield
public static Iterable<Long> fibonachi()
{
  ArrayList<Long> items = new ArrayList<Long>();

  long Ti = 0;
  long Ti1 = 1;

  while(true)
  {
    items.add(Ti);

    long value = Ti + Ti1;

    Ti = Ti1;
    Ti1 = value;
  }
}

And that's how we transform it:

@Yield()
public static Iterable<Long> fibonachi() {
  assert (java.util.ArrayList<Long>)(ArrayList<Long>)null == null : null;

  class $state$ implements java.lang.Iterable<Long>, java.util.Iterator<Long>, java.io.Closeable {

    public java.util.Iterator<Long> iterator() {
      if ($state$id == 0) {
        $state$id = 1;
        return this;
      } else return new $state$();
    }

    public boolean hasNext() {
      if (!$state$nextDefined) {
        $state$hasNext = $state$next();
        $state$nextDefined = true;
      }

      return $state$hasNext;
    }

    public Long next() {
      if (!hasNext()) throw new java.util.NoSuchElementException();

      $state$nextDefined = false;

      return $state$next;
    }

    public void remove() {
      throw new java.lang.UnsupportedOperationException();
    }

    public void close() {
      $state$id = 5;
    }

    private boolean $state$next() {
      while (true) switch ($state$id) {
      case 0:
        $state$id = 1;
      case 1:
        Ti = 0;
        Ti1 = 1;
      case 2:
        if (!true) {
          $state$id = 4;
          break;
        }

        $state$next = Ti;
        $state$id = 3;

        return true;
      case 3:
        value = Ti + Ti1;
        Ti = Ti1;
        Ti1 = value;
        $state$id = 2;

        break;
      case 4:
      case 5:
      default:
        $state$id = 5;

        return false;
      }
    }

    private long Ti;
    private long Ti1;
    private long value;
    private int $state$id;
    private boolean $state$hasNext;
    private boolean $state$nextDefined;
    private Long $state$next;
  }

  return new $state$();
}

Formatting is automatic, sorry, but anyway it's for diagnostics only. You will never see this code.

It's iteresting to say that this implementation is very precisely mimics xslt state machine implementation we have done back in 2008.

You can download YieldProcessor here. We hope that someone will find our solution very interesting.

Several times we have already wished to see yield feature in java and all the time came to the same implementation: infomancers-collections. And every time with dissatisfaction turned away, and continued with regular iterators.

Why? Well, in spite of the fact it's the best implementation of the feature we have seen, it's still too heavy, as it's playing with java byte code at run-time.

We never grasped the idea why it's done this way, while there is post-compile time annotation processing in java.

If we would implemented the yeild feature in java we would created a @Yield annotation and would demanded to implement some well defined code pattern like this:

@Yield
Iteratable<String> iterator()
{
  // This is part of pattern.
  ArrayList<String> list = new ArrayList<String>();

  for(int i = 0; i < 10; ++i)
  {
    // list.add() plays the role of yield return.
    list.add(String.valueOf(i));
  }

  // This is part of pattern.
  return list;
}

or

@Yield
Iterator<String> iterator()
{
  // This is part of pattern.
  ArrayList<String> list = new ArrayList<String>();

  for(int i = 0; i < 10; ++i)
  {
    // list.add() plays the role of yield return.
    list.add(String.valueOf(i));
  }

  // This is part of pattern.
  return list.iterator();
}

Note that the code will work correctly even, if by mischance, post-compile-time processing will not take place.

At post comile time we would do all required refactoring to turn these implementations into a state machines thus runtime would not contain any third party components.

It's iteresting to recall that we have also implemented similar refactoring in pure xslt.

See What you can do with jxom.

Update: implementation can be found at Yield.zip

We have a class Beans used to serialize a list of generic objects into an xml. This is done like this:

public class Call
{
  public Beans input;
  public Beans output;
  ...
}

@XmlJavaTypeAdapter(value = BeanAdapter.class)
public class Beans
{
  public List<Object> bean;
}

Thanks to @XmlJavaTypeAdapter, we're able to write xml in whatever form we want.

When we're serializing a Call instance:

Call call = ...
Beans beans = ...;

call.setInput(beans);

JAXBContext context = ...;
Marshaller marshaler = context.createMarshaller();
ObjectFactory factory = ...;

marshaler.marshal(factory.createCall(call), result);

things work as expected, meaning that BeanAdapter is used during xml serialization. But if it's happened that you want to serialize a Beans instance itself, you start getting problems with the serialization of unknown objects. That's because JAXB does not use BeanAdapter.

We have found a similar case "How to assign an adapter to the root element?", unfortunately with no satisfactory explanation.

That is strange.

One of our latest tasks was a conversion of data received from mainframe as an EBCDIC flat file into an XML file in UTF-8 encoding for further processing.

The solution was rather straightforward:

• read the source flat file, record-by-record;
• serialize each record as an element into target XML file using JAXB.

For reading data from EBCDIC encoded flat file, a good old tool named eXperanto was used. It allows to define C# and/or Java classes that suit for records in the source flat file. Thus we were able to read and convert records from EBCDIC to UTF-8.

The next sub-task was to serialize a Java bean to an XML element. JAXB marshaller was used for this.

Everything was ok, until we had started to test the implementation on real data.

We've realized that some decimal values (BigDecimal fields in Java classes) were serialized in scientific exponential notation. For example: 0.000000365 was serialized as 3.65E-7 and so on.

On the other hand, the target XML was used by another (non Java) application, which expected to receive decimal data, as it was defined in XSD schema (the field types were specified as xs:decimal).

According with W3C datatypes specification:

"...decimal has a lexical representation consisting of a finite-length sequence of decimal digits (#x30-#x39) separated by a period as a decimal indicator. An optional leading sign is allowed. If the sign is omitted, "+" is assumed. Leading and trailing zeroes are optional. If the fractional part is zero, the period and following zero(es) can be omitted. For example: -1.23, 12678967.543233, 100000.00, 210..."

So, the result was predictable, the consumer application fails.

Google search reveals that we deal with a well-known bug: "JAXB marshaller returns BigDecimal with scientific notation in JDK 6". It remains open already an year and half since May 2009, marked as "Fix in progress". We've tested our application with Java version 1.6.0_21-b07, JAXB 2.1.

Although this is rather critical bug that may affect on interoperability of Java applications (e.g. Java web services etc.), its priority was set just as "4-Low".

P.S. as a temporary workaround for this case only(!) we've replaced xs:decimal on xs:double in XSD schema for the target application.