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. XMap
  7. Libraries
  8. Schema Object
  9. Command Line Interface
  10. Scripts
  11. Parsers
  12. Script Ports
  13. Document Processors
  14. Formats
  15. Data Holders
  16. Anchors
  17. Transformers
  18. Actions
  19. Serializers
  20. Mappers
  21. Locators, Keys, and Indexing
  22. Streamers
  23. Validators, Notifications, and Failure Handling
  24. Validation Rules
  25. 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