Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. B2B transformation
  7. Aggregator transformation
  8. Cleanse transformation
  9. Data Masking transformation
  10. Data Services transformation
  11. Deduplicate transformation
  12. Expression transformation
  13. Filter transformation
  14. Hierarchy Builder transformation
  15. Hierarchy Parser transformation
  16. Hierarchy Processor transformation
  17. Input transformation
  18. Java transformation
  19. Java transformation API reference
  20. Joiner transformation
  21. Labeler transformation
  22. Lookup transformation
  23. Machine Learning transformation
  24. Mapplet transformation
  25. Normalizer transformation
  26. Output transformation
  27. Parse transformation
  28. Python transformation
  29. Rank transformation
  30. Router transformation
  31. Rule Specification transformation
  32. Sequence Generator transformation
  33. Sorter transformation
  34. SQL transformation
  35. Structure Parser transformation
  36. Transaction Control transformation
  37. Union transformation
  38. Velocity transformation
  39. Verifier transformation
  40. Web Services transformation

Transformations

Transformations

Frame

Frame

The frame determines which rows are included in the calculation for the current input row based on the rows' relative position to the current row. Configure a frame if you use an aggregate function as a window function.
The start offset and end offset describe the number of rows that appear before and after the current input row. An offset of "0" represents the current input row. For example, a start offset of -3 and an end offset of 0 describe a frame including the current input row and the three rows before the current row.
The following image shows a frame with a start offset of -1 and an end offset of 1:
 The Sports row is the current input row. The Arcade, Sports, and Adventure rows are part of the window and have corresponding revenues of 1000, 2000, and 3000.
For every input row, the function performs an aggregate operation on the rows inside the frame. If you configure an aggregate expression like SUM on the frame in the previous image, the expression calculates the sum of the values within the frame and returns a value of 6000 for the input row.
You can also specify a frame that does not include the current input row. For example, a start offset of 10 and an end offset of 15 describe a frame that includes six total rows, from the tenth to the fifteenth row after the current row.
Offsets of
All Preceding Rows
and
All Following Rows
represent the first row of the partition and the last row of the partition. For example, if the start offset is All Preceding Rows and the end offset is -1, the frame includes one row before the current row and all rows before that.
The following image shows a frame with a start offset of 0 and an end offset of All Following Rows:
The current input row is Country. All Following Rows include the following rows: Country, Ethnic, Pop, Rock, Classical, EDM, Hip Hop, and Punk.
If the frame offsets are outside the partition, the aggregate function ignores the frame. If the offsets of a frame are not within the partition or table, the aggregate function processes only the rows within the partition. The aggregate function lists the skipped rows in the log file. The function returns one of the following responses for the skipped rows: a default value of ERROR('transformation error'), NULL, or a predefined constant.
For example, you partition a table by seller ID and you order by quantity. You set the start offset to -3 and the end offset to 4.
The following image shows the partition and frame for the current input row:
 The row with seller ID of 3 and quanity of 15 is the current input row. The rows with seller IDS of 3 and quantity of 10, 15, 20, and 30 are part of the window. Rows with seller IDs of 2,3, and 4 are part of the frame.
The frame includes eight total rows, but the calculation remains within the partition. If you define an AVG function with this frame, the function calculates the average of the quantities inside the partition and returns 18.75.
Consider the following rules and guidelines when you define a frame:
  • LEAD and LAG use the frame that you specify in the function arguments and ignore the frame that you configure on the
    Window
    tab.
  • The start offset must be less than or equal to the end offset.

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