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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. Macro Transformation
  30. Match Transformation
  31. Match Transformations in Field Analysis
  32. Match Transformations in Identity Analysis
  33. Normalizer Transformation
  34. Merge Transformation
  35. Parser Transformation
  36. Python Transformation
  37. Rank Transformation
  38. Read Transformation
  39. Relational to Hierarchical Transformation
  40. REST Web Service Consumer Transformation
  41. Router Transformation
  42. Sequence Generator Transformation
  43. Sorter Transformation
  44. SQL Transformation
  45. Standardizer Transformation
  46. Union Transformation
  47. Update Strategy Transformation
  48. Web Service Consumer Transformation
  49. Parsing Web Service SOAP Messages
  50. Generating Web Service SOAP Messages
  51. Weighted Average Transformation
  52. Window Transformation
  53. Write Transformation
  54. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

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Update Strategy Transformation Advanced Properties

Update Strategy Transformation Advanced Properties

Configure advanced properties to help determine how the Data Integration Service processes data for the Update Strategy transformation.
You can define the following advanced properties for the Update Strategy transformation on the Advanced tab:
Forward Rejected Rows
Determines whether the Update Strategy transformation passes rejected rows to the next transformation or drops rejected rows. By default, the Data Integration Service forwards rejected rows to the next transformation. The Data Integration Service flags the rows for reject and writes them to the reject file. If you do not select Forward Rejected Rows, the Data Integration Service drops rejected rows and writes them to the mapping log file.
Use Hive Merge
Determines whether the Update Strategy transformation uses Hive MERGE to perform updates on Hive targets when the mapping runs on the Spark engine. When a query uses a MERGE statement instead of INSERT, UPDATE or DELETE statements, processing is more efficient.
The mapping ignores the Hive MERGE option in the following scenarios:
  • The mapping runs on the Databricks Spark engine.
  • The mapping runs on the Blaze engine.
  • MERGE is restricted by Hive implementation on particular Hadoop distributions.
Mappings that run on the Databricks Spark engine use the Databricks "MERGE INTO" SQL command instead of Hive MERGE. In mappings that run on the Blaze engine and scenarios where MERGE is restricted, the run-time engine uses INSERT, UPDATE and DELETE to perform the operation.
The mapping log contains results of the operation, including whether restrictions affected results.
When the update affects partitioning or bucketing columns, updates to the columns are omitted.
The Developer tool and the Data Integration Service do not validate against this restriction. If the Update Strategy expression violates these restrictions, the mapping might produce unexpected results.
Tracing Level
Amount of detail that appears in the log for this transformation. You can choose terse, normal, verbose initialization, or verbose data. Default is normal.
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