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

Error Rows

Error Rows

The Data Integration Service returns row errors when it encounters a connection error or syntax error. The SQL transformation returns SQL errors to the SQLError port.
When you configure a pass-through port or the NumRowsAffected port, the SQL transformation returns at least one row for each source row. When a query returns no data, the SQL transformation returns the pass-through data and the NumRowsAffected values, but it returns null values in the output ports. You can remove rows with null values by passing the output rows through a Filter transformation.
The following table describes the rows that the SQL transformation generates for UPDATE, INSERT, or DELETE query statements:
NumRowsAffected Port or Pass-Through Port Configured
SQLError
Rows Output
Neither port configured
No
One row with NULL in the SQLError port.
Neither port configured
Yes
One row with the error in the SQLError port.
Either port configured
No
One row for each query statement with the NumRowsAffected or the pass-through column data.
Either port configured
Yes
One row with the error in the SQLError port, the NumRowsAffected port, or the pass-through port data.
The following table describes the number of output rows that the SQL transformation generates for SELECT statements:
NumRowsAffected Port or Pass-Through Port Configured
SQLError
Rows Output
Neither port configured
No
One or more rows, based on the rows returned from each SELECT statement.
Neither port configured
Yes
One row greater than the sum of the output rows for the successful statements. The last row contains the error in the SQLError port.
Either port configured
No
One or more rows, based on the rows returned for each SELECT statement:
  • If NumRowsAffected is enabled, each row contains a NumRowsAffected column with a value zero.
  • If a pass-through port is configured, each row contains the pass-through column data. When the query returns multiple rows, the pass-through column data is duplicated in each row.
Either port configured
Yes
One or more rows, based on the rows returned for each SELECT statement. The last row contains the error in the SQLError port:
  • When NumRowsAffected is enabled, each row contains a NumRowsAffected column with value zero.
  • If a pass-through port is configured, each row contains the pass-through column data. When the query returns multiple rows, the pass-through column data is duplicated in each row.
The following table describes the number of output rows that the SQL transformation generates for DDL queries such as CREATE, DROP, or TRUNCATE:
NumRowsAffected Port or Pass-Through Port Configured
SQLError
Rows Output
Neither port configured
No
One row with NULL in the SQLError port.
Neither port configured
Yes
One row that contains the error in the SQLError port.
Either port configured
No
One row that includes the NumRowsAffected column with value zero and the pass-through column data.
Either port configured
Yes
One row with the error in the SQLError port, the NumRowsAffected column with value zero, and the pass-through column data.

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