Using components: NetSuite Source

Use the NetSuite source component to read NetSuite standard and custom records (tables) using the NetSuite JDBC drivers (SuiteAnalytics Connect).

Connection

Select an existing NetSuite connection or create a new one.

Source Properties

  • Source table - the table name from which the data will be imported. Use the Suitetalk Connect schema browser to look up standard records and columns.
  • where clause - optional. You can add predicates clauses to the WHERE clause as part of the SQL query that is built in order to get the data from the database. Make sure to skip the keyword WHERE.
    Goodprod_category = 1 AND prod_color = 'red'
    BadWHERE prod_category = 1 AND prod_color = 'red'
  • Query - type in a SQL query. Make sure to name all columns uniquely.

Source Schema

After defining the source table/query select the fields to use in the source.

With table access mode, the fields you select are used to build the query that will be executed to read the data.

With query access mode, select all the fields that are defined in the query and make sure to use the same column names

Define the data type for the field. Use the following table when matching NetSuite data types to Xplenty data types.

NetSuite Xplenty
varchar2 String
number Double
timestamp Datetime

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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