Table of Contents

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  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

Rules and Guidelines for Persistent Index Data

Rules and Guidelines for Persistent Index Data

Consider the following rules and guidelines when you configure a Match transformation to analyze a master data set of identity information:
  • To generate a reusable index for a master data set, configure the transformation to write the index data to database tables. The database tables constitute a persistent store of the index data.
  • To compare the identities in another data set to the index data store, configure the data set as the mapping data source. Configure the Match transformation to read the data source and the index data store. Select the index tables from the default schema of the database connection that you specify.
  • The Match transformation adds the sequence identifier value from the input record to the index data rows that correspond to the record. The
    SequenceID
    input port contains the sequence identifiers. The transformation uses the sequence identifiers to track the index data through the different steps in the match analysis. Do not disconnect the sequence ID port.
  • When you connect a Match transformation to an index store, the transformation reuses the population, key level, key type, and key field property values from the transformation that created the store. The transformation also reuses the port configuration from the transformation that created the store.
    If the transformation properties do not match, the identity analysis cannot compare the mapping source data and the index data correctly.
  • The Match transformation uses the data on the input port that you select as the key field to generate the identity index. The transformation can also write data from other ports to the index. If you disconnect the non-key field data ports from the transformation, you erase any data in the corresponding index columns when you run the mapping. To preserve the input port data in the index tables, do not disconnect the input data ports.
  • You can disable the match analysis in the Match transformation when you generate the index table data for a data set. For example, you might disable the match analysis when you create an index store for a data set. When you disable match analysis, the mapping runs faster.
    When you disable match analysis, the Match transformation can generate and display persistence status codes and persistence status descriptions. The transformation does not generate or display match scores or other data associated with the results of the match analysis. For example, if you configure the transformation to assign records to clusters and you disable match analysis, the transformation does not generate or display cluster ID values.
  • You determine whether the Match transformation updates the index store with data from the mapping source. The Match transformation uses sequence identifiers to determine whether the rows in the index store and in the mapping data represent the same records.

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