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

Update Strategy Transformation Support on the Hive Engine

Update Strategy Transformation Support on the Hive Engine

The Update Strategy transformation is supported only on Hadoop distributions that support Hive ACID.
Some processing rules for the Hive engine differ from the processing rules for the Data Integration Service.

General Restrictions

Hive targets always perform Update as Update operations. Hive targets do not support Update Else Insert or Update as Insert.
When the Update Strategy transformation receives multiple update rows for the same key, the results might differ.

Mapping Validation and Compile Validation

Mapping validation fails in the following situations:
  • The transformation is connected to more than one target.
  • The transformation is not connected directly to the target.
The mapping fails in the following situations:
  • The target is not ORC bucketed.
Compile validation errors occur and the mapping execution stops in the following situations:
  • The target is not a Hive target on the same cluster.
  • The Hive version is earlier than 0.14.
  • A primary key is not configured.


Updated October 23, 2019