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English
  • Data Engineering Integration 10.2.1
  • All Products

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

Big Data Management User Guide

Big Data Management User Guide

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Hive Engine Execution Plan Details

Hive Engine Execution Plan Details

You can view the details of a Hive engine execution plan for a mapping from the Administrator tool or Developer tool.
The following table describes the properties of a Hive engine execution plan:
Property
Description
Script Name
Name of the Hive script.
Script
Hive script that the Data Integration Service generates based on the mapping logic.
Depends On
Tasks that the script depends on. Tasks include other scripts and Data Integration Service tasks, like the Start task.
Effective in version 10.2.1, the MapReduce mode of the Hive run-time engine is deprecated, and Informatica will drop support for it in a future release. The Tez mode remains supported.
When you choose to run a mapping in the Hadoop environment, the Blaze and Spark run-time engines are selected by default.
Previously, the Hive run-time engine was also selected.
If you select Hive to run a mapping, the Data Integration Service will use Tez. You can use the Tez engine only on the following Hadoop distributions:
  • Amazon EMR
  • Azure HDInsight
  • Hortonworks HDP
In a future release, when Informatica drops support for MapReduce, the Data Integration Service will ignore the Hive engine selection and run the mapping on Blaze or Spark.
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