Archive for the ‘LCDS/Blaze DS’ Category

LiveCycle Data Services 2.6 – new features

I plan to write some posts describing what’s new in LiveCycle Data Services 2.6 compared with the previous version (2.5.1) and also to provide some examples. There are some important new features that affect both productivity and performance

Today I will describe two of them: hibernate annotations and the automatic creation of associated destination

First, you can now use hibernate annotations because a new type of assembler was introduced – HibernateAnnotationsAssembler. This assembler extends HibernateAssembler and it has only one supplementary method – createHibernateConfiguration, which knows to create a Configuration class from the annotations.

In order to use the annotations the following steps should be followed:

a)Declare annotations for the persisted objects

b)Change Hibernate configuration files in order to use <mapping class=”class name”/> instead of <mapping resource=”resource name” />

c)Change the assembler for a destination from HibernateAssembler to HibernateAnnotationsAssembler

d)Add the following entry to the destination configuration:

<item-class>class name</item-class>

The second one: Now it is possible to create automatically associated destinations as long as the destinations you are directly using for are defined in the data-management-config.xml. Also you can skip the identity tag for a destination and then it will be automatically generated taking into account the corresponding annotations. The big advantage of this is that now you can create and manage your destinations faster. The disadvantage is that if you do not want to configure any metadata you can lose performance (for example if you do not specify load-on–demand for a large set).

Another important point is that you cannot use the automatically created destinations for fill operations – if you want to do that you will have to add an explicit destination declaration for them into data-management-config.xml.

Below is an example of data-management-config.xml which uses the new way of declaring destinations:

<?xml version="1.0" encoding="UTF-8"?>
<service id="data-service"
    class="flex.data.DataService">
    <adapters>
        <adapter-definition id="java-dao" class="flex.data.adapters.JavaAdapter" default="true"/>
    </adapters>
    <default-channels>
        <channel ref="my-rtmp" />
    </default-channels>
    <destination id="test.Company" channels="my-rtmp">
        <properties>
            <source>flex.data.assemblers.HibernateAnnotationsAssembler</source>
            <scope>application</scope>
            <item-class>test.Company</item-class>
            <metadata>
                <one-to-many property="products" destination="test.Product" read-only="true" page-size="20" paged-collection="true" lazy="false" />
            </metadata>
            <server>
                <hibernate-entity>test.Company</hibernate-entity>
            </server>
        </properties>
    </destination>
</service>

I do not declare the identity of the test.Company destination – also I do not declare the destination test.Product. The last one will be automatically generated taking into consideration the hibernate annotations.

Note: it is possible completely omit the metadata section but I wanted to configure several parameters (lazy, paged-collection) in order to improve performance.

AMF – Problems when serializing between Java and ActionScript

Below are some tips and tricks when dealing with serialization between Java and ActionScript. I’ve spent some time and encountered some frustrations (especially when I was too tired) trying to understand why the value is not properly sent over the wire so I decided to document all of my mistakes. Over the time I will edit this post to add new insights

  • if something seems wrong turn on debugging in services-config.xml
  • a property must have a public getter and setter in order to be serialized. I know that is strange (why should I have a setter when it’s not needed?) but that’s it. I do not like it all because sometimes it breaks encapsulation
  • you should take care to map the ActionScript class with the corresponding Java class using the metadata. For example [RemoteClass(alias="com.foo.model.MyClass")]
  • verify that the ActionScript object is included in the SWF file. If your project does not have a reference to the AS file then it will not be included in the resulting SWF so the Java class will be serialized to a generic object
  • you cannot serialize maps that have integers as keys See this bug
  • when serializing Hibernate entities be sure that all of them are initialized or use some kind of Open Session in View pattern – or better build a value object to contain only the data you really need.
  • a NULL number in Java is converted to 0 in ActionScript
  • a Long number from Java cannot be properly converted to Number in ActionScript – you will lose precision, so you should send it packed in a different way
  • take care on timezone when serializing dates because it can have different values on client and server. The date object does not contains information related to it so if you need the timezone you should send it separately

LiveCycle Data Services ES 2.6 was released

The final version of 2.6 was launched on 18 July – it can be downloaded from this location (you need to have an Adobe ID). The documentation was improved from the last beta version (for example now there is a new chapter describing how to build and deploy an LCDS application and a new one regarding LCDS architecture).

You can download and use the trial version or the Express version (free, limited to one CPU).

Compared with 2.5 the new enhancements are:

- Improved LiveCycle Foundation Integration Features
- Improved RTMP Performance and Scalability
- Scalable HTTP Based Channel
- Data Management Improvements (support for complex domain models, paging, lazy loading, hibernate integration, subtype support)

The detailed description can be found on the documentation page located here.

LCDS Data Management – Implementing cascade delete

I believe that it is almost impossible to build a domain model without dealing with the common 1-n relation. There are a lot of things to take into consideration when modeling that – so many that one can write a large book chapter. I do not intend to do that in my post – but because I’ve spent some time with a use case regarding LCDS data management I thought would be a good idea to share what I have found.

Yesterday I wrote (using Hibernate) a bidirectional 1-n relation having cascade=”all-delete-orphan”, I created the destinations for LCDS and I thought that the cascade delete would work smoothly on the client – specifically, that the delete operation would be called for all the children’s. However it seems that this operation is not yet implemented – instead of deleting them LCDS tried to set the parent to null, which obviously does not work.

Below is a code snippet describing the relation:

   1: public class Company{
   2:
   3:     public var id:int;
   4:     public var name:String;
   5:     public var products:ArrayCollection;
   6:
   7: }

I tried to call delete on the company and on commit I received the error: “not-null property references a null or transient value: test.Product.company”

   1: var companyDataService = new DataService("Company");
   2: . . . . . . . . . . . . . . . . . . . . . . . . . .
   3: . . . . . . . . . . . . . . . . . . . . . . . . . .
   4: companyDataService.deleteItem(companyGrid.selectedItem);
   5: companyDataService.commit();

What is the workaround? Instead of directly deleting the parent first we should delete all the children, as shown below:

   1: var companyDataService = new DataService("Company");
   2: var productDataService = new DataService("Product");
   3: . . . . . . . . . . . . . . . . . . . . . . . . . .
   4: . . . . . . . . . . . . . . . . . . . . . . . . . .
   5: function deleteCompany(company:Company):void{
   6:
   7:     var companyProducts:ArrayCollection = company.products;
   8:     for (var i:int = companyProducts.length-1; i >= 0; i--)
   9:         productDataService.deleteItem(companyProducts.getItemAt(i));
  10:
  11:     companyDataService.deleteItem(companyGrid.selectedItem);
  12:     companyDataService.commit();
  13: }

Both destinations share the same datastore so it’s enough to call commit on the company DataService.

LiveCycle Data Services – Datastore and transactions

There are situations when you need all the data entered from the UI or read from a file or socket to be consistent from a business point of view. For example if you have a reservation system you should not create the customer if the reservation operation fails; otherwise you will have inconsistent data in the database.

With LiveCycle Data Services you can control the dependency between changed data by using the DataStore object. If several DataServices components are using the same DataStore the changes are going to be enrolled in the same transaction, otherwise the data will be saved independently.

By default if there is a dependency between several DataServices (managed associations or hierarchies) the DataStore object is the same for all of them. Otherwise, if you want to have the data persisted in the same transaction you will have to manually assign the same DataStore for the DataService components.

The following code shows what happens when you are using two DataServices having a different DataStore  and, after that,  what happens when the DataStore object is shared. I have used P6Spy to intercept the SQL commands.

The ActionScript code

   1: var company:Company = new Company();
   2: company.name="company";
   3: companyDataService.createItem(company);
   4:
   5: var customer:Customer = new Customer();
   6: customer.name="customer";
   7: customerDataService.createItem(customer);
   8:
   9:
  10: companyDataService.commit();
  11: customerDataService.commit();

The resulting SQL is displayed below – the data is saved in two transactions

   1: statement|select max(id) from test.company|select max(id) from test.company
   2: statement|insert into test.company (name, id) values (?, ?)|insert into test.company (name, id) values ('company', 15)
   3: commit||
   4: <another sql statements>
   5: statement|select max(id) from test.customer|select max(id) from test.customer
   6: statement|insert into test.customer (name, id) values (?, ?)|insert into test.customer (name, id) values ('customer', 7)
   7: commit||
   8:

I will add the following line of code (before creating the objects):

   1: customerDataService.dataStore=companyDataService.dataStore;

Now the data is saved in the same transaction

   1: statement|select max(id) from test.company|select max(id) from test.company
   2: statement|insert into test.company (name, townId, id) values (?, ?, ?)|insert into test.company (name, townId, id) values ('company', '', 17)
   3: statement|select max(id) from test.customer|select max(id) from test.customer
   4: statement|insert into test.customer (name, townId, id) values (?, ?, ?)|insert into test.customer (name, townId, id) values ('customer', '', 8) 
   5: commit

For further information I strongly recommend reading the LCDS 2.6 Developer Guide – there is a section about the DataStore object

LCDS Data management – Handling Java Exceptions

I’m working on a small project using Flex and LCDS data management and yesterday I encountered a common use case: I wrote a method that was responsible for creating one user but only if several conditions were fulfilled. For example the username should not exist in the database, the postal code should be a valid one and the maximum length of the email should be 200 characters. It is not possible to perform the validation only on the client (because of security and data consistency problem). So my method checks this conditions and is throwing exceptions for any illegal case.

The Flex client should receive these exceptions and inform the user. I will present some code samples below in case that somebody else is interested in how to do that.

On the server part I overwrite the HibernateAssembler (create and update methods)

   1:
   2: public class UserAssembler extends HibernateAssembler{
   3:
   4:     @Override
   5:     public void createItem(Object arg0) {
   6:         //Session session = hibernateManager.getSession(true);
   7:         User user = (User)arg0;
   8:         new UserService().createUser(
   9:                 user.getName(),
  10:                 user.getUsername(),
  11:                 user.getPassword(),
  12:                 user.getEmail());
  13:     }
  14:
  15:     @Override
  16:     public void updateItem(Object arg0, Object arg1, List arg2) {
  17:         User user = (User)arg0;
  18:         new UserService().updateUser(
  19:                 user.getId(),
  20:                 user.getName(),
  21:                 user.getUsername(),
  22:                 user.getEmail());
  23:     }
  24:
  25:
  26: }

The createUser and update user methods will throw an IllegalArgumentException with the proper message when the business validation fails.

   1: if (findUser(userName) != null) {
   2:   throw new IllegalArgumentException("The user having the username " + userName + " already exists");
   3: }

On the client side I have to add a fault handler to the destination. This handler is called every time when the dataservice fails on commit. For the sake of simplicity I’m assuming that it can fail only because the server validation was not successful.

   1: userDataService = new DataService("User");//create the destination
   2: userDataService.fill(usersArray,"com.test.User.mainFill",[]);//fill it
   3: userDataService.addEventListener(DataServiceFaultEvent.FAULT,faultHandler);

The fault handler is defined below:

   1: private function faultHandler(event :D ataServiceFaultEvent):void{
   2:     Alert.show(event.message.rootCause.cause.message);
   3:     userDataService.revertChanges();   //revert a
   4: }

Assuming that the user wanted to create the username TEST and this already exists in database the following message will be displayed when the validation fails: “the user having the username TEST already exists”

How does it work? The Throwable object is serialized as any other object and is sent to the flex client packed in the event object. We can access it by “event.message.rootCause”. and we can extract the error message with “cause.message”.

Of course there are some situations when the error message can be more complex – in this case we can implement our custom exception handler and add more properties to it. Example:

   1: public class UserValidationException extends Exception{
   2:
   3:     private String email;
   4:     private String name;
   5:     private String errorMessage;
   6:
   7:     public UserValidationException(String email, String name, String errorMessage) {
   8:         this.email = email;
   9:         this.name = name;
  10:         this.errorMessage = errorMessage;
  11:     }
  12:
  13:     public String getEmail() {
  14:         return email;
  15:     }
  16:
  17:     public String getName() {
  18:         return name;
  19:     }
  20:
  21:     public String getErrorMessage() {
  22:         return errorMessage;
  23:     }
  24:
  25: }
   1: if (findUser(userName) != null) {
   2:   throw new UserValidationException(email,username,"Username already exists");
   3: }

On the client we can access our custom properties by event.message.rootCause.email, event.message.rootCause.userName, event.message.rootCause.errorMessage.

LCDS Data management – adding items to a destination

Last week I received an interesting question: what should we do if we intend to create several items which are connected to a destination (and propagate the changes to all registered clients)?

A common use case could be:

  • You have a datagrid showing all the matches from a sport competition. You can create a new match (by adding a new line in grid) or you can modify the existing ones
  • And more important: you can execute a service call from the server which will add new matches, insert them into the database and propagate them on the other clients

In the first case, you create the items on the client and send the data to the server using the Flex Data Services API – so the clients are the producers. For the second you are creating the items directly on the server – so both the clients and the server are the producers. Since I have not yet seen an example showing that, I thought it would be a good idea to present one.

Below is a code snippet showing the code:

   1: DataDestination dt = DataDestination.getDataDestination("Test");
   2:  
   3:  DataMessage fillMessage = InternalMessage.createMessage();
   4:  fillMessage.setOperation(DataMessage.CREATE_OPERATION);
   5:      
   6:  ASObject test = new ASObject();
   7:  test.put("name", "Test created at:"+System.nanoTime());            
   8:  test.setType("com.test.Test");            
   9:  BeanProxy proxy = new BeanProxy(test);
  10:     
  11:  fillMessage.setBody(proxy);
  12:  DataServiceTransaction tx = null; 
  13:      
  14:  tx = DataServiceTransaction.begin(false);  
  15:  Collection<Object> result = (Collection<Object>)dt.getAdapter().invoke(fillMessage);
  16:               
  17:  tx.updateItem("Test",result.toArray()[0],null,null);
  18:     
  19:  tx.commit(); 

You can download the files here (it is a Flex project archive). It uses MySQL – the script to create the test table is in database/create.sql