Why Groovy is Powerful in Integration (especially SAP CPI)
SAP CPI provides many standard tools like Message Mapping, Content Modifier, etc. But real-world integrations often need custom logic, such as:
Complex data parsing (e.g., splitting a CSV file, filtering records)
Custom message transformation (e.g., dynamic XML or JSON generation)
Header/property manipulation (e.g., set Authorization header based on token)
Dynamic behavior (e.g., choose endpoint URL based on some condition)
Standard flow steps are not enough for these, so SAP provides Script Step where Groovy is used.
Example Use Cases in SAP CPI
|
Use Case |
Groovy Script
Role |
|
Transform CSV
to XML |
Parse CSV line by line and generate XML format |
|
Set CSRF Token
in Header |
Extract and set token
for HTTP request |
|
Filter out invalid records |
Loop through
records and skip
based on conditions |
|
Generate Atom
XML |
Build deep insert
XML payload for
OData |
|
Format DateTime |
Convert date formats as required by receiver |
Groovy in SAP CPI gives flexibility and control when standard flow steps fall short. It enhances your ability to customize, transform, and control data and integration logic to meet complex business needs.
In Short, Groovy = "Custom logic engine" inside SAP CPI
It gives developers the power to go beyond the limitations of graphical tools. It’s ideal for:
Complex data manipulation
Dynamic behavior
Fine-grained control over message processing
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