Table of Contents

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  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

Sorter Transformation Support on the Blaze Engine

Sorter Transformation Support on the Blaze Engine

Some processing rules for the Blaze engine differ from the processing rules for the Data Integration Service.

Mapping Validation

Mapping validation fails in the following situations:
  • The target is configured to maintain row order and the Sorter transformation is not connected directly to a flat file target.

Global Sort

The Blaze engine can perform global sorts when the following conditions are true:
  • The Sorter transformation is connected directly to flat file targets.
  • The target is configured to maintain row order.
  • The sort key is not a binary data type.
If any of the conditions are not true, the Blaze engine performs a local sort.

Data Cache Optimization

If a Sorter transformation is inserted before an Aggregator or Rank transformation to optimize the Aggregator or Rank data cache, the size of the sorter cache is the same size as the data cache for the Aggregator or Rank transformation. To configure the sorter cache, you must configure the size of the data cache for the Aggregator or Rank transformation.


Updated October 23, 2019