Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. Aggregator transformation
  7. Cleanse transformation
  8. Data Masking transformation
  9. Data Services transformation
  10. Deduplicate transformation
  11. Expression transformation
  12. Filter transformation
  13. Hierarchy Builder transformation
  14. Hierarchy Parser transformation
  15. Hierarchy Processor transformation
  16. Input transformation
  17. Java transformation
  18. Java transformation API reference
  19. Joiner transformation
  20. Labeler transformation
  21. Lookup transformation
  22. Machine Learning transformation
  23. Mapplet transformation
  24. Normalizer transformation
  25. Output transformation
  26. Parse transformation
  27. Python transformation
  28. Rank transformation
  29. Router transformation
  30. Rule Specification transformation
  31. Sequence Generator transformation
  32. Sorter transformation
  33. SQL transformation
  34. Structure Parser transformation
  35. Transaction Control transformation
  36. Union transformation
  37. Velocity transformation
  38. Verifier transformation
  39. Web Services transformation

Transformations

Transformations

Using Java code to parse a flat file

Using Java code to parse a flat file

You can develop Java code to parse a flat file. Use Java code to extract specific columns of data from a flat file of varying schema or from a JMS message.
For example, you want to read the first two columns of data from a delimited flat file. Create a mapping that reads data from a delimited flat file and passes data to one or more output fields.
The mapping contains the following components:
Source transformation
The source is a delimited flat file. Configure the source to pass each row as a single string to the Java transformation. The source file contains the following data:
1a,2a,3a,4a,5a,6a,7a,8a,9a,10a 1b,2b,3b,4b,5b,6b,7b,8b,9b 1c,2c,3c,4c,5c,6c,7c 1d,2d,3d,4d,5d,6d,7d,8d,9d,10d
Java transformation
Define the Java transformation functionality in the Java editor.
Use the On Input Row section of the Java editor to read each input row and pass the first two fields to the output field, outputRow. Enter the following code in the On Input Row section:
// Collect the first two fields of the row and output them into outputRow. String[] rowsSplit = row.split(",", 3); if (rowsSplit.length >= 2) { outputRow = rowsSplit[0] + "," + rowsSplit[1]; } generateRow();
Target transformation
Configure the target to receive the output field, outputRow, from the Java transformation. After you run the mapping, the target file has the following data:
1a,2a 1b,2b 1c,2c 1d,2d

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