Table of Contents

Search

  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

Step 1. Configure the Hive Connection to Enable Data Compression on Temporary Staging Tables

Step 1. Configure the Hive Connection to Enable Data Compression on Temporary Staging Tables

Use the Administrator tool or the Developer tool to configure the Hive connection. You can edit the Hive connection properties to configure the codec class name that enables data compression on temporary staging tables.
  1. In the Hive connection properties, edit the properties to run mappings in a Hadoop cluster.
  2. Select
    Temporary Table Compression Codec
    .
  3. Choose to select a predefined codec class name or enter a custom codec class name.
    • To select a predefined codec class name, select a compression library from the list.
    • To enter a custom codec class name, select custom from the list and enter the codec class name that matches the codec class name in the Hadoop cluster.


Updated October 23, 2019