Use the wizard to create a transformation with Parquet input or output. When you create a Data Processor transformation to transform the Parquet format, you select a Parquet schema or example file that defines the expected structure of the Parquet data. The wizard creates components that transform Parquet format to other formats, or from other formats to Parquet format. After the wizard creates the transformation, you can further configure the transformation to determine the mapping logic.
Apache Parquet is a columnar storage format that can be processed in a Hadoop environment. Parquet is implemented to address complex nested data structures, and uses a record shredding and assembly algorithm. For more information about Parquet, see
A transformation that reads Parquet input or output relies on a schema. When the transformation reads or writes Parquet data, the transformation uses the schema to interpret the hierarchy.
After you create a Data Processor transformation for Parquet input, you add it to a mapping with a complex file reader. The complex file reader passes Parquet input to the transformation. For a Data Processor transformation with Parquet output, you add a complex file writer to the mapping to receive the output from the transformation.