Table of Contents

Search

  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

PowerExchange for Hive

PowerExchange for Hive

Effective in version 10.4.1, you can use complex data types to read and write hierarchical data from Hive tables in a mapping that runs on the Spark engine.
When you read from and write to Hive tables with hierarchical data, you can perform data preview and schema synchronization on the mapping.
You can use Hive tables with hierarchical data in HDP 3.1 distribution only.
For more information, see the
Informatica 10.4.1 PowerExchange for Hive User Guide
.


Updated August 28, 2020