launchpad-custom-function

To run custom Python, Java, or Node.js logic in LaunchPad, create a Custom Function via AWS Lambda by uploading your code bundle (JAR or ZIP) and defining a function signature that matches the HLL method.

AWS Lambda limits apply to LaunchPad custom functions, meaning you must respect execution time boundaries and payload size constraints when uploading JAR or ZIP code bundles and defining function signatures for external logic.

Yes, you can parse Excel files and perform complex date manipulations using LaunchPad custom functions by writing external logic in Java, Python, or Node.js and executing it through AWS Lambda.

Python custom function handlers fail in LaunchPad when the handler naming convention does not match the required file.function format, or when the function signature mismatches the HLL method input and output parameters.

Package Java code for a LaunchPad custom function by compiling it into a JAR file code bundle, then defining the handler using the Java package.Class::method naming convention to match the HLL method signature.

LaunchPad custom functions require careful null and timezone handling within your Java, Python, or Node.js code, as AWS Lambda execution environments process date and list functions based on specific runtime behaviors.