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Statement

The Statement section of the node panel covers the workhorse operations of an integration flow: declaring and updating variables, calling functions, and transforming records. It sits at the top of the categories list, just below the project's Connections.

Declare Variable​

Creates a typed variable in the current flow scope. Use it whenever a downstream node needs a named value that does not come directly from a previous step's result.

Declare Variable button in the Statement section

FieldDescription
NameName of the variable.
TypeType of the variable. Use a record, enum, primitive, or json. Define new types inline with the Type editor.
ExpressionInitialize with a value. Author the expression with assistance in the Expression editor. Leave it empty to declare an unbound variable.

Declare Variable form with Name, Type, and Expression fields

Update Variable​

Assigns a new value to an existing variable.

Update Variable button in the Statement section

FieldDescription
VariableName of the variable or field to update.
ExpressionThe new value. Use the Expression editor for type-aware suggestions.

Update Variable form with Variable and Expression fields

Call Function​

Calls a function defined in the project, an imported library, or the Ballerina standard library. Use it to reuse logic across the integration without copying expressions into every node.

Call Function button in the Statement section

The function picker lists functions in three sections: Within Project, Imported Functions (functions from imported libraries such as log), and Standard Library. Select Create Function under Within Project to define a new function inline.

Function picker showing Within Project, Imported Functions, and Standard Library entries

For details on creating, organizing, and reusing functions across artifacts, see the Functions reference.

Map Data​

Adds a data mapper call that transforms data from one record shape to another. Use it whenever the source data and the downstream consumer expect different record types.

Map Data button in the Statement section

The picker lists every data mapper in the project under Within Project. Select an existing mapper to invoke it from the flow, or select Create Data Mapper to define a new one. New and existing mappers open in the Data Mapper editor, where you draw connections between source and target fields, write inline expressions, or use Auto Map.

Data Mappers picker with Create Data Mapper action and existing mappers

For mapping capabilities, array handling, and submappings, see the Data mapper reference.

What's next​

  • Connections — Invoke actions on configured clients.
  • Control — Branch, loop, and return inside the flow.
  • AI — Call models, build RAG pipelines, and run agents.
  • Logging — Emit log messages at different severities.