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  1. Preface
  2. Part 1: Version 10.4.1
  3. Part 2: Version 10.4.0
  4. Part 3: Version 10.2.2
  5. Part 4: Version 10.2.1
  6. Part 5: Version 10.2
  7. Part 6: Version 10.1.1
  8. Part 7: Version 10.1

Hive Functionality for the Spark Engine

Hive Functionality for the Spark Engine

Effective in version 10.2, the following functionality is supported for mappings that run on the Spark engine:
  • Reading and writing to Hive resources in Amazon S3 buckets
  • Reading and writing to transactional Hive tables
  • Reading and writing to Hive table columns that are secured with fine-grained SQL authorization
For information about how to configure mappings for the Spark engine, see the "Mappings in a Hadoop Environment" chapter in the
Informatica Big Data Management 10.2 User Guide.


Updated August 28, 2020