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  • Data Engineering Integration 10.2.1
  • All Products

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

Big Data Management User Guide

Big Data Management User Guide

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Parallel Sorting

Parallel Sorting

To improve mapping performance, the Data Integration Service enables parallel sorting by default in a mapping that has a Sorter transformation and a flat file target.
The Data Integration Service enables parallel sorting for mappings in a Hadoop environment based on the following rules and guidelines:
  • The mapping does not include another transformation between the Sorter transformation and the target.
  • The data type of the sort keys does not change between the Sorter transformation and the target.
  • Each sort key in the Sorter transformation must be linked to a column in the target.
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