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

Cluster Library Path

Cluster Library Path

Cluster Library Path property is a list of path variables for shared libraries on the cluster. You can add or edit library path variables.
To edit the property in the text box, use the following format with : to separate each path variable:
<variable1>[:<variable2>…:<variableN]
Configure the following library path variables in the
Cluster Library Path
property:
$DB2_HOME/lib64
Represents the directory to the DB2 libraries. Required to run mappings with DB2 sources and targets on the Hive engine.
$GPHOME_LOADERS/lib
Represents the path to the Greenplum libraries. Required to run Greenplum mappings on the Hive engine.
$GPHOME_LOADERS/ext/python/lib
Represents the path to the Python libraries. Required to run Greenplum mappings on the Hive engine.
$NZ_HOME/lib64
Represents the path to the Netezza libraries. Required to run Netezza mappings on the Hive or Blaze engine.
$ORACLE_HOME/lib
Represents the directory to the Oracle libraries. Required to run mappings with Oracle sources and targets on the Hive engine.
/usr/lib/tdch/1.5/lib/*
The path to the TDCH libraries directory. Required to run Teradata mappings through TDCH on the Hive engine.


Updated October 23, 2019