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

Parameter Usage

Parameter Usage

Use parameters for big data sources or target properties, connection properties, and run-time environment properties.

Big Data Sources and Targets

Hive sources
You can configure the following parameters for Hive Read transformation properties:
  • Connection. Configure this parameter on the
    Run-time
    tab.
  • Owner. Configure this parameter on the
    Run-time
    tab.
  • Resource. Configure this parameter on the
    Run-time
    tab.
  • Joiner queries. Configure this parameter on the
    Query
    tab.
  • Filter queries. Configure this parameter on the
    Query
    tab.
  • PreSQL commands. Configure this parameter on the
    Advanced
    tab.
  • PostSQL commands. Configure this parameter on the
    Advanced
    tab.
  • Constraints. Configure this parameter on the
    Advanced
    tab.
HBase sources and targets
You can configure the following parameters for HBase Read and Write transformation properties:
  • Connection. Configure this parameter on the
    Overview
    tab.
  • Date Time Format for the Read or Write data object. Configure this parameter on the
    Advanced
    tab.
Complex file sources and targets
You can configure the following parameters for complex file Read and Write transformation properties:
  • Connection. Configure this parameter on the
    Overview
    tab.
  • Data object read operation. Configure the following parameters on the
    Advanced
    tab:
    • File Path
    • File Format.
    • Input Format
    • Compression Format
    • Custom Compression Codec properties
  • Data object write operation. Configure the following parameters on the
    Advanced
    tab:
    • File Name
    • File Format
    • Output Format
    • Output Key Class
    • Output Value Class
    • Compression Format
    • Custom Compression Codec
    • Sequence File Compression Type
Flat file on HDFS sources and targets
You can configure the following parameters for a flat file on HDFS Read and Write transformation properties:
  • Data object read operation. Configure the following parameters on the
    Run-time
    tab:
    • Source File Name
    • Source File Directory
  • Data object write operation. Configure the following parameters on the
    Run-time
    tab:
    • Output File Directory
    • Output File Name

Hadoop connection and run-time environment

You can configure the following mapping parameters on the
Run-time
tab for a mapping in the Hadoop environment:
  • Hive version.
  • Run-time environment.
  • Hadoop connection.

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