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One of the core functions of any integration platform, is to translate between different message formats. These transformations are colloquially known as mappings, and every integration platform offers its own set of tools for building them.

SAP Cloud Platform Integration, or Cloud Integration for short (or CPI for even shorter), is SAP’s integration platform in the cloud. In this blog, I’d like to introduce you to the mapping options provided by Cloud Integration, namely:

  • Message mapping
  • XSLT
  • JavaScript and Groovy scripting

I will give you an overview of each option, and discuss their pros and cons. Plus a one-sentence TL;DR summary for the busy reader 🙂

Message mapping

The TL;DR version: Message mapping is easy to learn, and can be a very effective tool, but beware that if you apply it to the wrong problem, things can get ugly.


Message mapping is a graphical mapping tool, that doesn’t require any coding. Unlike the other two mapping options, the message mapping tool is built right into the Cloud Integration web application. You construct a message mapping by connecting source structure fields to target structure fields via drag and drop, and possibly inserting functions in between.

The image above is an example of fields being mapped in a message mapping. When the mapping runs, the concat function will concatenate the contents of the FirstName and LastName source fields, and the result will be copied into the FullName target field.

The tool has a library of built-in functions for doing calculations, string handling, conversions etc. In addition to those, you can add your own, custom functions written in the Groovy scripting language.

A very similar message mapping tool ships with SAP PI, so developers coming from that background will feel right at home with Cloud Integration’s version. The Cloud Integration web application also supports importing existing message mappings from an on-premise SAP PI system via Cloud Connector.

Unlike XSLT and scripting, message mapping can only be used to perform XML to XML transformations.

Pros and cons

The message mapping tool is exceedingly easy to pick up and get started with; you can learn the basics in a very short amount of time. It excels at solving mapping problems of low to medium complexity. For that category of problems, message mapping can be a very effective tool.

However, solving highly complicated mapping problems with message mapping tends to result in mappings that are overly large, messy and disproportionately hard to test and maintain. In other words, be mindful of whether message mapping is a good fit for the task at hand.


The TL;DR version: For XML to XML mapping, XSLT is the most powerful of the three mapping options, but that power comes at the cost of a steep learning curve.


Extensible Stylesheet Language Transformations (XSLT for short) is an XML language for transforming XML documents into other XML documents, HTML or text. An XSLT transformation is called a stylesheet (not to be confused with Cascading Style Sheets, which describe the presentation of HTML documents). XSLT is a standard maintained by the World Wide Web Consortium (W3C). Cloud Integration currently supports version 2 of the standard, and support for version 3 (the latest version) is on the road map.

XSLT development revolves around writing templates. A template creates a part of the stylesheet’s output. It can match parts of the input document, or it can be called by name from another template. The XPath query language (another W3C standard) is used to navigate the input XML document. XPath enables the developer to pinpoint locations in the input in a very succinct way. Using XPath, extracting a value from a deeply nested, complicated XML structure can be trivial.

The stylesheet in the image above performs a so-called identity transformation, i.e. its output is identical to its input.

The Cloud Integration web application offers a rudimentary XSLT editor, but its functionality is very limited. If you want conveniences like debugging and stylesheet validation, you need a separate tool (typically an XML editor such as XMLSpy or Oxygen).

Pros and cons

Of the three mapping options offered by Cloud Integration, XSLT is without a doubt the most powerful for XML to XML mappings. Faced with a complicated transformation, like mapping a large IDoc to a deeply nested XML structure, XSLT should be your first choice.

However, the language has a steep learning curve, that must be climbed, before one becomes productive. Also, if you want to get serious about XSLT development, you will need an XML editor, and that means one more tool to learn.

One additional benefit of XSLT, is that stylesheets are text files, that you can store in a version control system like Git.

JavaScript and Groovy scripting

The TL;DR version: If the developer is willing to manage all aspects of a mapping herself, scripting offers more flexibility and more control over input processing and output generation than message mapping and XSLT.


The Script step lets you add scripts written in Groovy or JavaScript to your integration flows. Script code can access and modify the contents of the exchange, like properties, attachments, headers and the message body. In addition to that, scripts can use built-in and external class libraries.

Scripts serve multiple purposes in Cloud Integration, and one of those purposes is mapping. The image above is an example of a simple mapping performed in Groovy. It transforms a CSV-formatted message into an XML document. While the code is simplified for the sake of brevity, it does demonstrate the two main tasks performed by all mapping scripts:

  • Process the input message
  • Generate the output message

If you are handling plain text or XML, the built-in classes will go a long way. To process, say, an Excel spreadsheet attachment, you need an external library.

As is the case with XSLT, the Cloud Integration web application offers a very basic script editor. However, most developers opt for external editors or IDEs with a much richer feature set.

Pros and cons

Mapping in script code gives you full control over how the input is processed and how the output is generated. This is obviously great, and it lets you write, for instance, advanced text processing that goes well beyond the built-in capabilities.

The other side of that coin, though, is that the developer needs to manage every single aspect of the mapping herself. This is due to the fact that JavaScript and Groovy are general-purpose programming languages, whereas message mapping and XSLT exist for the sole reason of transforming XML.

Also, if you are new to JavaScript, Groovy or indeed programming in general, there is a sizeable learning curve to overcome, before you become productive.

An added benefit is that scripts are text files, that you can store in your version control system.

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  1. Eng Swee Yeoh

    Hi Morten


    Thanks for the great post on the comparison between the different mapping options available.


    A few points from my own experience:-

    Message mapping – yes, complex mappings can get real ugly as the developer needs to understand the queues & context concept that is inherited from PI. I’ve seen too many PI mappings gone horribly wrong, that I sometimes wish CPI would start afresh without this legacy baggage! Plus currently there’s no way to run automated unit tests on these mappings – the simulate functionality in WebUI is very rudimentary.


    XSLT – totally agree with the steep learning curve. I’ve always struggled with it (and still do), and only use it sparingly when it seems to be the best choice for a specific use-case. Do any of the tools support running a suite of unit test cases?


    Scripting (Groovy in particular) – given that I have a bias towards coding, this is my favorite. But IMHO, any integration developer will at some point need to write some codes, so why not pick up this lovely-to-use language early on? Plus, there’s a trick to unit test the scripts locally on your computer 🙂 Furthermore, XML is no longer the de-facto medium for data transfer – JSON’s popularity is growing, as well as other binary or unstructured data formats. So there are times where this is the only option available.



    Eng Swee

    1. Morten Wittrock Post author

      Hi Eng Swee

      Thank you for your always interesting comments 🙂 You bring up a very good point about non-XML formats, and scripting being pretty much the only option in many of those cases.




  2. Vadim Klimov

    Hi Morten,


    Very well written and structured blog, thank you for this summary and comparison as well as for valuable highlights of advantages and disadvantages of each of techniques!


    In my opinion, history repeats itself to some extent here: PI / dual stack started with support of variety of mapping techniques – graphical mappings, XSLT (with ABAP and Java based XSLT processors), ABAP and Java mapping programs. This was followed by elimination of ABAP based techniques due to migration to Java-only installation options. And now, in CPI, remaining techniques experience second breath:

    • PI/PO’s graphical mapping > CPI’s message mapping,
    • PI/PO’s Java mapping program > CPI’s Groovy and JavaScript scripts,
    • PI/PO’s XSLT program > CPI’s XSLT mapping.


    Nice thing here is that CPI comes with native support of XSLT 2.0 processor, while in PI/PO, we need to make use of custom XSLT transformer – good step forward for those who have to deal with many XSLT mappings on a regular basis and need some more recent and advanced capabilities.


    I’m yet uncertain about clear segregation of use cases between Groovy and JavaScript scripts and positioning these two – putting aside such aspects as skill set and experience of the particular developer or the team / organization adherence to specific languages / frameworks and accumulated experience in corresponding fields, but focusing purely on technical development, performance / robustness and maintenance aspects. Looking into CPI roadmap, both Groovy and JavaScript scripts’ support is declared in a longer term, and they both share very common use cases and satisfy space of requirements that is usually covered by Java mapping programs in PI/PO world. I might only assume here that few motivations to have both Groovy and JavaScript being supported by CPI, can be:

    • Smooth transition between SAP integration products, such as PI/PO, CPI and API Management. PI/PO developer with Java skills can become productive with Groovy scripting relatively quickly – most difference will come from Groovy-specific libraries and language shortcuts, but the developer can dive into Groovy gradually, starting from Java-style coding and utilization of already known Java native libraries, and gracefully moving into Groovy-style and leveraging Groovy-specific libraries. Good point is that compiler and runtime will finely accept both styles, as well as techniques and principles of program performance troubleshooting and optimization on lower level / JVM remain the same for Java, Groovy or other JVM language. Further progression with usage of both CPI as an integration platform and API Management as an API platform in a single landscape and their collaboration might also add to this from JavaScript perspective in the same way as PI/PO adds to CPI from Java/Groovy perspective, as a major piece of custom policies in API Management is developed using JavaScript.
    • Common popularity of JVM languages on the one hand side and JavaScript (with all its frontend and backend / Node.js backing ecosystem) on the other hand. I observe trend in various other cloud services, where they aim provisioning of runtimes and tools for both JVM languages and JavaScript.


    To me, this might also cause a bit of confusion in mixed heterogeneous landscapes, where integration developers can come from different backgrounds and be more experienced with different languages and frameworks. Technically, it will be hard to justify usage of Groovy over JavaScript in custom flow steps, or vice versa, so it seems that the choice might be done based on various non-technical factors, or there will be a mix of both of alternatives.


    Given I personally come from ABAP and Java background, Groovy is more comfortable for me, so choosing between Groovy and JavaScript script (mapping or any other integration flow step), in absence of any other non-technical factors and given parity in availability of external dependencies/libraries (should those be required) for the assessed task, my preference will be Groovy, but I recognize there shall be a reasonably large number of developers, whose choice might be in favor of JavaScript.



    1. Morten Wittrock Post author

      Hi Vadim

      Thank you for your insightful comment!There’s probably an interesting blog there, waiting to be written, about migrating SAP PI skills to Cloud Integration. On that note, I much prefer CPI’s scripts to PI’s Java mappings. They’re much more versatile, and you can script wherever you want.

      Thanks again,


  3. Florian Kube

    Hello Morten,

    great overview of the different mapping options.

    On the PI/PO I used to use XSLT Mapping when it was complex. However, as I just tried it is not possible to upload a ZIP XSLT mapping with multiple XSL-files. I like to separate segments etc. in different files. Therefore, you need to have the whole mapping in one file.


    Regards Florian

    1. Morten Wittrock Post author

      Hi Florian

      Thank you! You can have multiple stylesheets that refer to each other, but you do need to upload them separately, unfortunately. I’ve written about xsl:import in Cloud Integration here.




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