Validating a package

After designing your package, you should validate it to ensure it will run jobs without failing. The validation checks the package for design-time errors, such as:

  • dataflow doesn't end with a destination component
  • Not all components are connected
  • Incorrect syntax of all component fields, including expressions
  • Variables used in fields are not defined

Note: The bucket and path connections in Source and Destination components are not validated.

Validation takes around a minute, depending on the complexity of the package.

To validate a package:

  1. In the package designer, click the tick (save and validate package) icon.
  2. The package is saved then the validating window appears.
  3. If validation succeeded, a message is is displayed that no errors were found.
  4. If validation failed, the errors list appears with details on about the errors that were found. You can click on each validation error to open the component and fix it.

Creating packages in New Xplenty

  1. Creating a new package in New Xplenty
  2. Creating a workflow
  3. Working in the new package designer
  4. Using components: Amazon Redshift Source
  5. Validating a package
  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: Amazon Redshift Destination
  33. Using components: Database Destination
  34. Using components: File Storage Destination
  35. Using components: Google BigQuery Destination
  36. Using components: Google Spanner Destination
  37. Using components: MongoDB Destination
  38. Using components: Salesforce Destination
  39. Using components: Snowflake Destination (beta)

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