Table of Contents

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  1. Preface
  2. Introduction to Informatica Data Engineering Integration
  3. Mappings
  4. Mapping Optimization
  5. Sources
  6. Targets
  7. Transformations
  8. Python Transformation
  9. Data Preview
  10. Cluster Workflows
  11. Profiles
  12. Monitoring
  13. Hierarchical Data Processing
  14. Hierarchical Data Processing Configuration
  15. Hierarchical Data Processing with Schema Changes
  16. Intelligent Structure Models
  17. Blockchain
  18. Stateful Computing
  19. Appendix A: Connections Reference
  20. Appendix B: Data Type Reference
  21. Appendix C: Function Reference

Enabling Data Compression on Temporary Staging Tables

Enabling Data Compression on Temporary Staging Tables

To optimize performance when you run a mapping in the Hadoop environment, you can enable data compression on temporary staging tables. When you enable data compression on temporary staging tables, mapping performance might increase.
To enable data compression on temporary staging tables, complete the following steps:
  1. Configure the Hadoop connection to use the codec class name that the Hadoop cluster uses to enable compression on temporary staging tables.
  2. Configure the Hadoop cluster to enable compression on temporary staging tables.
Hadoop provides following compression libraries for the following compression codec class names:
Compression Library
Codec Class Name
Performance Recommendation
Zlib
org.apache.hadoop.io.compress.DefaultCodec
n/a
Gzip
org.apache.hadoop.io.compress.GzipCodec
n/a
Snappy
org.apache.hadoop.io.compress.SnappyCodec
Recommended for best performance.
Bz2
org.apache.hadoop.io.compress.BZip2Codec
Not recommended. Degrades performance.
LZO
com.hadoop.compression.lzo.LzoCodec
n/a


Updated September 28, 2020