Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings
  4. Sources
  5. Targets
  6. Transformations
  7. Data Preview
  8. Cluster Workflows
  9. Profiles
  10. Monitoring
  11. Hierarchical Data Processing
  12. Hierarchical Data Processing Configuration
  13. Hierarchical Data Processing with Schema Changes
  14. Intelligent Structure Models
  15. Stateful Computing
  16. Connections
  17. Data Type Reference
  18. Function Reference

Rank Transformation on the Blaze Engine

Rank Transformation on the Blaze Engine

Some processing rules for the Blaze engine differ from the processing rules for the Data Integration Service.
The data cache for the Rank transformation is optimized to use variable length to store binary and string data types that pass through the Rank transformation. The optimization is enabled for record sizes up to 8 MB. If the record size is greater than 8 MB, variable length optimization is disabled.
When variable length is used to store data that passes through the Rank transformation in the data cache, the Rank transformation is optimized to use sorted input and a pass-through Sorter transformation is inserted before the Rank transformation in the run-time mapping.
To view the Sorter transformation, view the optimized mapping or view the execution plan in the Blaze validation environment.
During data cache optimization, the data cache and the index cache for the Rank transformation are set to Auto. The sorter cache for the Sorter transformation is set to the same size as the data cache for the Rank transformation. To configure the sorter cache, you must configure the size of the data cache for the Rank transformation.


Updated January 20, 2020