You create transformations in the Transformation Editor, this is the built-in Groovy editor within the Transform area in Studio.
The Transformation Editor becomes available when you select Custom Transform, or Add Attribute from the attribute menu, or when you click the toolbox icon in the top right corner of Transform, in Studio:
- Syntax highlighting enables color-coding of different elements in your transformation to indicate their type.
- Auto complete lets you view a list of autocomplete suggestions for the word you're typing, by pressing Ctrl+space. Use the arrow keys to navigate this list and press Enter to select the highlighted item.
- Error checking includes a built-in static parser that performs error checking when you preview or save your transformation. For more information, see Exception handling.
- If you are comfortable with Groovy, you can type directly into the Transformation Editor. Your code can contain any of the supported Groovy language features, and custom transform functions available in Big Data Discovery.
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If you have limited experience with Groovy, you can create transformations using predefined lists of custom transform functions and available attributes:
- To view the list of
transform functions, click
Functions above the
Transformation Editor. In the
Functions list, you can learn about each
function by hovering the mouse over its name.
Here is a list of custom functions you can add to your transformation script:
- To view the list of your
data set's attributes, click
Attributes. The
Attributes list displays an icon next to
each attribute's name indicating its data type.
You can filter the Attributes list by data type:
To add items from either list to your transformation, click and drag its name into the Transformation Editor.
To add an item from the Attributes list as a parameter to a function, drag the attribute's name directly on top of the function's placeholder text:
- To view the list of
transform functions, click
Functions above the
Transformation Editor. In the
Functions list, you can learn about each
function by hovering the mouse over its name.
