Sequences of operations that end-users execute in the Trifacta Application are rendered as commands in Wrangle. When a job is executed, the Wrangle recipe of steps is executed against the entire dataset. In the following diagram, you can review the layers that execute Wrangle recipes across your dataset.
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Figure: Platform execution layers
Wrangle recipe: End-users create these sequential recipes by performing point-and-click operations on sampled data in the application. These recipes are stored in the Alteryx database and can be executed at any time against the full dataset.
Wrangle compiler:
Dataflow Compiler: This component compiles your recipe into a set of commands that can be executed against the specified execution target.
Dataflow Optimizer: The optimizer reviews the set of compiled commands to perform general optimizations for the queries.
Target Optimization and Specialization: The Wrangle compiler performs additional optimizations and addresses any special requirements depending on the execution target.
Extensible Function Library: Optionally, developers can create user-defined functions using Java.
Execution Environments: The Designer Cloud Powered by Trifacta platform supports a variety of environments for execution of jobs.