Table of Contents


  1. Preface
  2. Introduction to Informatica Data Engineering Integration
  3. Mappings
  4. Mapping Optimization
  5. Sources
  6. Targets
  7. Transformations
  8. Python Transformation
  9. Data Preview
  10. Cluster Workflows
  11. Profiles
  12. Monitoring
  13. Hierarchical Data Processing
  14. Hierarchical Data Processing Configuration
  15. Hierarchical Data Processing with Schema Changes
  16. Intelligent Structure Models
  17. Blockchain
  18. Stateful Computing
  19. Appendix A: Connections Reference
  20. Appendix B: Data Type Reference
  21. Appendix C: Function Reference

Hive Warehouse Connector and Hive LLAP

Hive Warehouse Connector and Hive LLAP

Enable the Hive Warehouse Connector and Hive LLAP for faster execution of Hive queries when you read from and write to Hive tables. You can use the Hive Warehouse Connector and Hive LLAP with Hortonworks HDP 3.x and Microsoft Azure HDInsight 4.x clusters on the Spark engine.
The Hive Warehouse Connector reads from and writes to Hive tables without using temporary staging tables that require additional storage overhead. Use the Hive Warehouse Connector on the Spark engine to allow Spark code to interact with Hive targets and to use ACID-enabled Hive tables. When you enable the Hive Warehouse Connector, mappings use Hive LLAP to run Hive queries rather than HiveServer2.
Effective in version 10.2.2 HotFix 1 Service Pack 1, the Hive Warehouse Connector and Hive LLAP are available for technical preview.
Technical preview functionality is supported for evaluation purposes but is unwarranted and is not production-ready. Informatica recommends that you use in non-production environments only. Informatica intends to include the preview functionality in an upcoming release for production use, but might choose not to in accordance with changing market or technical circumstances. For more information, contact Informatica Global Customer Support.


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