Table of Contents


  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 Pushdown Configuration

Hive Pushdown Configuration

The following table describes the connection properties that you configure for the Hive engine:
Environment SQL
SQL commands to set the Hadoop environment. The Data Integration Service executes the environment SQL at the beginning of each Hive script generated in a Hive execution plan.
The following rules and guidelines apply to the usage of environment SQL:
  • Use the environment SQL to specify Hive queries.
  • Use the environment SQL to set the classpath for Hive user-defined functions and then use environment SQL or PreSQL to specify the Hive user-defined functions. You cannot use PreSQL in the data object properties to specify the classpath. If you use Hive user-defined functions, you must copy the .jar files to the following directory:
    <Informatica installation directory>/services/shared/hadoop/<Hadoop distribution name>/extras/hive-auxjars
  • You can use environment SQL to define Hadoop or Hive parameters that you want to use in the PreSQL commands or in custom queries.
  • If you use multiple values for the environment SQL, ensure that there is no space between the values.
Hive Warehouse Directory
Optional. The absolute HDFS file path of the default database for the warehouse that is local to the cluster.
If you do not configure the Hive warehouse directory, the Hive engine first tries to write to the directory specified in the cluster configuration property
. If the cluster configuration does not have the property, the Hive engine writes to the default directory
Engine Type
The engine that the Hadoop environment uses to run a mapping on the Hadoop cluster. You can choose MRv2 or Tez. You can select Tez if it is configured for Amazon EMR, Azure HDInsight, or Hortonworks HDP.
Advanced Properties
List of advanced properties that are unique to the Hive engine. The advanced properties include a list of default properties.
You can configure run-time properties for the Hadoop environment in the Data Integration Service, the Hadoop connection, and in the mapping. You can override a property configured at a high level by setting the value at a lower level. For example, if you configure a property in the Data Integration Service custom properties, you can override it in the Hadoop connection or in the mapping. The Data Integration Service processes property overrides based on the following priorities:
  1. Mapping custom properties set using
    infacmd ms runMapping
    with the
  2. Mapping run-time properties for the Hadoop environment
  3. Hadoop connection advanced properties for run-time engines
  4. Hadoop connection advanced general properties, environment variables, and classpaths
  5. Data Integration Service custom properties
Informatica does not recommend changing these property values before you consult with third-party documentation, Informatica documentation, or Informatica Global Customer Support. If you change a value without knowledge of the property, you might experience performance degradation or other unexpected results.

Updated October 23, 2019