Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Connections
  4. Mappings in the Hadoop Environment
  5. Mapping Objects in the Hadoop Environment
  6. Processing Hierarchical Data on the Spark Engine
  7. Stateful Computing on the Spark Engine
  8. Monitoring Mappings in the Hadoop Environment
  9. Mappings in the Native Environment
  10. Profiles
  11. Native Environment Optimization
  12. Data Type Reference
  13. Complex File Data Object Properties
  14. Function Reference
  15. Parameter Reference

Sqoop Mappings in a Hadoop Environment

Sqoop Mappings in a Hadoop Environment

After you enable Sqoop in a JDBC connection and import a Sqoop source or Sqoop target, you can create a mapping. You can then run the Sqoop mapping in the Hadoop run-time environment with a Hadoop connection. You can run Sqoop mappings on the Blaze, Spark, and Hive engines.
If you use the Cloudera Connector Powered by Teradata or Hortonworks Connector for Teradata, you can run the mappings on the Blaze or Spark engines.
In the mapping, you can specify additional Sqoop arguments and disable the Sqoop connector.


Updated November 09, 2018