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

High Precision Decimal Data Type on the Hive Engine

High Precision Decimal Data Type on the Hive Engine

In high-precision mode, the Hive engine supports decimal data types with precision up to 38 digits and a maximum scale of 38. The scale must be less than the precision.
When you run mappings in high-precision mode, the Hive engine maintains the precision at a maximum of 38 digits. As a result, precision loss can occur due to data overflow or intermediate calculations.
To minimize precision loss, configure the precision and scale to accurately reflect the data.


Updated October 23, 2019