Table of Contents

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  1. Preface
  2. Introduction to Data Transformation
  3. Data Processor Transformation
  4. Wizard Input and Output Formats
  5. Relational Input and Output
  6. Using the IntelliScript Editor
  7. XMap
  8. Libraries
  9. Schema Object
  10. Command Line Interface
  11. Scripts
  12. Parsers
  13. Script Ports
  14. Document Processors
  15. Formats
  16. Data Holders
  17. Anchors
  18. Transformers
  19. Actions
  20. Serializers
  21. Mappers
  22. Locators, Keys, and Indexing
  23. Streamers
  24. Validators, Notifications, and Failure Handling
  25. Validation Rules
  26. Custom Script Components

Data Transformation User Guide

Data Transformation User Guide

Avro Data Compression with the Snappy Codec

Avro Data Compression with the Snappy Codec

You can compress Avro data with the complex file reader. If you use the Snappy codec for Avro data compression, you must update the Snappy codec .jar file before you test or run the transformation.
To use the Snappy codec, replace the default Snappy .jar file in the Informatica server installation and in the Hadoop environment with the updated version. The updated
snappy-java-1.0.4.1.jar
file is available at the following link: http://mvnrepository.com/artifact/org.xerial.snappy/snappy-java/1.1.0.1