Table of Contents

Search

  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings in the Hadoop Environment
  4. Mapping Sources in the Hadoop Environment
  5. Mapping Targets in the Hadoop Environment
  6. Mapping Transformations in the Hadoop Environment
  7. Processing Hierarchical Data on the Spark Engine
  8. Configuring Transformations to Process Hierarchical Data
  9. Processing Unstructured and Semi-structured Data with an Intelligent Structure Model
  10. Stateful Computing on the Spark Engine
  11. Monitoring Mappings in the Hadoop Environment
  12. Mappings in the Native Environment
  13. Profiles
  14. Native Environment Optimization
  15. Cluster Workflows
  16. Connections
  17. Data Type Reference
  18. Function Reference
  19. Parameter Reference

Complex File Targets

Complex File Targets

A mapping that runs in the Hadoop environment can process complex files.
The following table shows the complex files that a mapping can process in the Hadoop environment:
File Type
Format
Blaze Engine
Spark Engine
Hive Engine
Avro
Flat
Supported
Supported
Supported
Avro
Hierarchical
Supported*
Supported**
Supported*
JSON
Flat
Supported*
Supported
Supported*
JSON
Hierarchical
Supported*
Supported**
Supported*
ORC
Flat
Not supported
Supported
Not supported
ORC
Hierarchical
Not supported
Not supported
Not supported
Parquet
Flat
Supported
Supported
Supported
Parquet
Hierarchical
Supported*
Supported**
Supported*
XML
Flat
Supported*
Not supported
Supported*
XML
Hierarchical
Supported*
Not supported
Supported*
* The complex file writer object must be connected to a Data Processor transformation.
** The complex file writer object must be enabled to project columns as complex data type.


Updated October 23, 2019