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Hierarchical Data Conversion

In the Developer tool, use

Hierarchical Conversion

wizards that simplify the tasks for developing a mapping to process hierarchical data on the Spark engine. These wizards add one or more transformations to the mapping and create output ports. The expressions in the output ports use complex functions and operators to convert relational data to hierarchical data or hierarchical data to relational data.

The following table lists the hierarchical conversion wizards and when to use these wizards:

Hierarchical Conversion Wizard	When to Use
Create Struct Port	To convert relational and hierarchical data to struct data. For example, you want to convert data in one or more columns of any data type to hierarchical data column of type struct.
Create Nested Complex Port	To convert relational and hierarchical data in two tables to a nested struct data. You can select one or more columns of any data type. For example, you want to convert data in columns from two tables to a hierarchical data column of type struct with a nested schema. The wizard creates a struct with an array of structs.
Extract from Complex Port	To convert hierarchical data to relational data or modify the hierarchical data. For example, you want to perform the following conversions: Convert one or more elements of primitive data types in a hierarchical data to relational data columns. Convert one or more elements of complex data types in a hierarchical data to hierarchical data columns.
Flatten Complex Port	To convert hierarchical data to relational data. For example, you want to convert one or more elements of a hierarchical data to relational data columns.

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Hierarchical Data Conversion

Hierarchical Data Conversion