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

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 December 13, 2018