Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings in the Hadoop Environment
  4. Mapping Sources in the Hadoop Environment
  5. Mapping Targets in the Hadoop Environment
  6. Mapping Transformations in the Hadoop Environment
  7. Processing Hierarchical Data on the Spark Engine
  8. Configuring Transformations to Process Hierarchical Data
  9. Processing Unstructured and Semi-structured Data with an Intelligent Structure Model
  10. Stateful Computing on the Spark Engine
  11. Monitoring Mappings in the Hadoop Environment
  12. Mappings in the Native Environment
  13. Profiles
  14. Native Environment Optimization
  15. Cluster Workflows
  16. Connections
  17. Data Type Reference
  18. Function Reference
  19. Parameter Reference

Hive Mappings

Hive Mappings

Based on the mapping environment, you can read data from or write data to Hive.
In a native environment, you can read data from Hive. To read data from Hive, complete the following steps:
  1. Create a Hive connection.
  2. Configure the Hive connection mode to access Hive as a source or target.
  3. Use the Hive connection to create a data object to read from Hive.
  4. Add the data object to a mapping and configure the mapping to run in the native environment.
You can write to Hive in a Hadoop environment. To write data to Hive, complete the following steps:
  1. Create a Hive connection.
  2. Configure the Hive connection mode to access Hive as a source or target.
  3. Use the Hive connection to create a data object to write to Hive.
  4. Add the data object to a mapping and configure the mapping to run in the Hadoop environment.
You can define the following types of objects in a Hive mapping:
  • A Read Transformation to read data from Hive
  • Transformations
  • A target or an SQL data service. You can write to Hive if you run the mapping in a Hadoop cluster.
Validate and run the mapping. You can deploy the mapping and run it or add the mapping to a Mapping task in a workflow.


Updated October 23, 2019