When you create a complex file data object, a read and write operation is created. To use the complex file data object as a target in streaming mappings, configure the complex file data object write operation properties. You can select the mapping environment and run the mappings on the Spark engine of the Hadoop environment.
When you configure the data operation properties, specify the format in which the complex file data object writes data to the HDFS sequence file. You can specify Avro, JSON, XML, or Parquet as file format. You can also specify binary as format.
You can pass any payload format directly from source to target in Streaming mappings. You can project columns in binary format pass a payload from source to target in its original form or to pass a payload format that is not supported.
Streaming mappings can read, process, and write hierarchical data. You can use array, struct, and map complex data types to process the hierarchical data. You assign complex data types to ports in a mapping to flow hierarchical data. Ports that flow hierarchical data are called complex ports.
For more information about processing hierarchical data, see the
Data Engineering Integration User Guide