Table of Contents


  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Connections
  4. Mappings in a Hadoop Environment
  5. Mapping Objects in a Hadoop Environment
  6. Mappings in the Native Environment
  7. Profiles
  8. Native Environment Optimization
  9. Data Type Reference
  10. Function Reference
  11. Parameter Reference

Hive Targets

Hive Targets

A mapping that is running in a Hadoop environment can write to a Hive target.
Consider the following limitations when you configure a Hive target in a mapping that runs in a Hadoop environment:
  • The Data Integration Service does not run pre-mapping or post-mapping SQL commands against a Hive target. You cannot validate and run a mapping with PreSQL or PostSQL properties for a Hive target.
  • A mapping fails to run if the Hive target definition differs in the number and order of the columns from the relational table in the Hive database.
  • A mapping fails to run when you use Unicode characters in a Hive target definition.
  • You must truncate the target table to overwrite data to a Hive table with Hive version 0.7. The Data Integration Service ignores write, update override, delete, insert, and update strategy properties when it writes data to a Hive target.
  • The Data Integration Service can truncate the partition in the Hive target in which the data is being inserted. You must choose to both truncate the partition in the Hive target and truncate the target table.
  • You cannot perform update or delete on Hive targets for a Blaze engine mapping.

Updated July 03, 2018