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

Step 2. Configure the Hadoop Cluster to Enable Compression on Temporary Staging Tables

Step 2. Configure the Hadoop Cluster to Enable Compression on Temporary Staging Tables

To enable compression on temporary staging tables, you must install a compression codec on the Hadoop cluster.
For more information about how to install a compression codec, refer to the Apache Hadoop or Hive documentation.
  1. Verify that the native libraries for the compression codec class name are installed on every node on the cluster.
  2. To include the compression codec class name that you want to use, update the property io.compression.codecs in core-site.xml. The value for this property is a comma separated list of all the codec class names supported on the cluster.
  3. Verify that the Hadoop-native libraries for the compression codec class name that you want to use are installed on every node on the cluster.
  4. Verify that the LD_LIBRARY_PATH variable on the Hadoop cluster includes the locations of both the native and Hadoop-native libraries where you installed the compression codec.


Updated October 23, 2019