Using components: Cross Join Transformation

Use the Cross Join transformation to combine records from two different inputs. The cross join returns the Cartesian product of records from the two inputs. That is, it will produce records which combine each record from the left input with each record from the right input.

Join inputs

Select 2 inputs and drag and drop the component menu button onto the cross join component:

If the join's inputs contain fields with the same names, they will appear in the join output prefixed by the input's name (e.g. adwords1::customer_id). Use a select component to fix the field aliases or remove fields that contain the same values.

You may want to use a filter component right after the cross join to use non equality filters on the data (that can't be used with inner/outer joins)

Creating packages

  1. Creating a new package in New Xplenty
  2. Creating a workflow
  3. Working in the new package designer
  4. Validating a package
  5. Using components: Amazon Redshift Source
  6. Using components: Bing Ads Source
  7. Using components: Database Source
  8. Using components: Facebook Ads Insights Source
  9. Using components: File Storage Source
  10. Using components: Google Adwords source
  11. Using components: Google Analytics Source
  12. Using components: Google BigQuery Source
  13. Using components: Google Cloud Spanner Source
  14. Using components: MongoDB Source
  15. Using components: NetSuite Source
  16. Using components: Salesforce source
  17. Using components: Rest API Source
  18. Using components: Aggregate Transformation
  19. Using components: Assert Transformation
  20. Using components: Clone transformation
  21. Using components: Cross Join Transformation
  22. Using components: Distinct Transformation
  23. Using components: Filter Transformation
  24. Using components: Join Transformation
  25. Using components: Limit Transformation
  26. Using components: Rank Transformation
  27. Using components: Select Transformation
  28. Using components: Sort Transformation
  29. Using components: Union Transformation
  30. Using components: Window Transformation
  31. Using components: Sample Transformation
  32. Using components: Cube transformation
  33. Using components: Amazon Redshift Destination
  34. Using components: Database Destination
  35. Using components: File Storage Destination
  36. Using components: Google BigQuery Destination
  37. Using components: Google Spanner Destination
  38. Using components: MongoDB Destination
  39. Using components: Salesforce Destination
  40. Using components: Snowflake Destination (beta)
  41. Using Components: Rest API Destination
  42. Using and setting variables in your packages
  43. System and pre-defined variables
  44. Using pattern-matching in source component paths
  45. Using ISO 8601 string functions
  46. Using Expressions in Xplenty
  47. Xplenty Functions

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