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From "Andrei Shakirin (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (CXF-4582) Support XSLT scripts in CXF Transformation feature
Date Sun, 04 Nov 2012 12:08:12 GMT

     [ https://issues.apache.org/jira/browse/CXF-4582?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Andrei Shakirin updated CXF-4582:
---------------------------------

    Attachment: XSLTFeature-systest-uncategorized.patch
                XSLTFeature-core.patch

Patch for the feature is attached
                
> Support XSLT scripts in CXF Transformation feature
> --------------------------------------------------
>
>                 Key: CXF-4582
>                 URL: https://issues.apache.org/jira/browse/CXF-4582
>             Project: CXF
>          Issue Type: Improvement
>          Components: Core
>            Reporter: Andrei Shakirin
>            Priority: Minor
>         Attachments: XSLTFeature-core.patch, XSLTFeature-systest-uncategorized.patch
>
>
> Hi,
> Actually CXF Transformation feature covers 99% of user needs:
> 1) changing input and output element names and namespaces
> 2) appending new input and output elements
> 3) replacing text content
> 4) dropping output and input elements
> 5) converting attributes to elements
> Anyway I see some advanced use cases not supported by CXF Transformation feature, like:
> 1) replace/rename attributes;
> 2) replace/remove attributes values
> 3) process lists
> etc.
> My proposal is to add property for Transformation feature that specified XSLT transformation
script to support such advanced use cases.
> It will look like:
> <bean id="transformFeature" class="org.apache.cxf.feature.StaxTransformFeature">
>   <property name="inXSLT" value="/org/test/my-in.xslt"/>
>   <property name="outXSLT" value="/org/test/my-out.xslt"/>
> </bean> 
> XSLT engine Xalan will probably break the streaming (AFAIK is still load tree into memory,
incremental transformation just do it in optimized parallel way). But for small messages is
still an option and looking forward - probably clean stream oriented processing will be supported
in the future.
> I have basic implementation and will provide a patch, if the improvement makes sense.
> Regards,
> Andrei.

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