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

Truncating Partitions in a Hive Target

Truncating Partitions in a Hive Target

To truncate partitions in a Hive target, you must edit the write properties for the customized data object that you created for the Hive target in the Developer tool.
You can truncate partitions in a Hive target when you use the Blaze or Spark run-time engines to run the mapping.
  1. Open the customized data object in the editor.
  2. To edit write properties, select the
    Input
    transformation in the
    Write
    view, and then select the
    Advanced
    properties.
    The following image shows the
    Advanced
    properties tab:
  3. Select
    Truncate Hive Target Partition
    .
  4. Select
    Truncate target table
    .


Updated October 23, 2019