Hi Rose,

final 1.3 has already been released at 10/Feb/2009. At the moment we are
working toward 1.3.1.

Regards
Ralf

rose_smith schrieb:
> Hi
>
> Any idea when a stable 1.3 release will be availble? can't use RC in
> production. 
> Meantime is there a link to best practices/tricks for the doing the same
> thing  ( load mapping only once) with the 1.2 release?
>
> -Rose
>
>
> Werner Guttmann wrote:
>   
>> Hi,
>>
>> yes, create one instance of XMLContext only (setup period), and then use
>> the create(Un)Marshaller() methods to create (Un)Marshaller instances as
>> needed. In addition, have a look at the reference guide, especially at
>> the section about performance tuning (best practise).
>>
>> Regards
>> Werner
>>
>> picje wrote:
>>     
>>> Hello,
>>>
>>> I'm using castorl-1.3-xml and I would like to know what is the best
>>> approach
>>> to increase the performance. In fact for Marshalling/Unmarshalling I use
>>> this kind of code : 
>>>
>>>             
>>> public RgSearchOutput1 parseRgSearchOutputControlXml(Reader xmlReader)
>>> throws Exception {
>>>         RgSearchOutput1 rgSearchOutput1 = null;
>>>         try{        
>>>             Mapping mapping = new Mapping();
>>>             mapping.loadMapping(getRgSearchOutputXmlMapping());
>>>             
>>>             XMLContext context = new XMLContext();
>>>                     context.addMapping(mapping);
>>>                     
>>>             Unmarshaller unmarshaller = context.createUnmarshaller();
>>>                     unmarshaller.setValidation(false);
>>>                     unmarshaller.setClass(RgSearchOutput1.class);
>>>                     
>>>             rgSearchOutput1 =
>>> (RgSearchOutput1)unmarshaller.unmarshal(xmlReader);
>>>                     
>>>           
>>>         }catch (Exception e){
>>>             throw e;
>>>         }
>>>
>>>         return rgSearchOutput1;
>>> }    
>>> My question is : Do I have to put in cache the instance of "XMLContext"
>>> to
>>> improve the performance ? What is the best approach when we are in a
>>> Multithread environment?
>>>
>>> Thanks for your help.
>>>
>>>
>>>       
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