Table of Contents

Search

  1. Preface
  2. Introduction to Transformations
  3. Transformation Ports
  4. Transformation Caches
  5. Address Validator Transformation
  6. Aggregator Transformation
  7. Association Transformation
  8. Bad Record Exception Transformation
  9. Case Converter Transformation
  10. Classifier Transformation
  11. Comparison Transformation
  12. Consolidation Transformation
  13. Data Masking Transformation
  14. Data Processor Transformation
  15. Decision Transformation
  16. Duplicate Record Exception Transformation
  17. Expression Transformation
  18. Filter Transformation
  19. Hierarchical to Relational Transformation
  20. Java Transformation
  21. Java Transformation API Reference
  22. Java Expressions
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Dynamic Lookup Cache
  29. Match Transformation
  30. Match Transformations in Field Analysis
  31. Match Transformations in Identity Analysis
  32. Normalizer Transformation
  33. Merge Transformation
  34. Parser Transformation
  35. Python Transformation
  36. Rank Transformation
  37. Read Transformation
  38. Relational to Hierarchical Transformation
  39. REST Web Service Consumer Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. SQL Transformation
  44. Standardizer Transformation
  45. Union Transformation
  46. Update Strategy Transformation
  47. Web Service Consumer Transformation
  48. Parsing Web Service SOAP Messages
  49. Generating Web Service SOAP Messages
  50. Weighted Average Transformation
  51. Window Transformation
  52. Write Transformation
  53. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Lookup Caches Overview

Lookup Caches Overview

You can configure a Lookup transformation to cache a relational or flat file lookup source. Enable lookup caching on a large lookup table or file to increase lookup performance.
The Integration Service builds a cache in memory when it processes the first row of data in a cached Lookup transformation. The Integration Service creates caches as the source rows enter the Lookup transformation. It allocates memory for the cache based on the amount you configure in the transformation. The Integration Service stores condition values in the index cache and output values in the data cache. The Integration Service queries the cache for each row that enters the transformation.
If the data does not fit in the memory cache, the Integration Service stores the overflow values in cache files. The Integration Service creates the cache files in the cache directory. By default, the Integration Service creates cache files in the directory specified in the CacheDir system parameter. When the mapping completes, the Integration Service releases cache memory and deletes the cache files unless you configure the Lookup transformation to use a persistent cache.
If you use a flat file lookup, the Integration Service caches the lookup source. If you configure a flat file lookup for sorted input, the Integration Service cannot cache the lookup if the condition columns are not grouped. If the columns are grouped, but not sorted, the Integration Service processes the lookup as if you did not configure sorted input.
When you do not configure the Lookup transformation for caching, the Integration Service queries the lookup source for each input row. Whether or not you cache the lookup source, the result of the Lookup query and processing is the same. However, you can increase lookup performance on a large lookup source if you enable lookup caching.

0 COMMENTS

We’d like to hear from you!