Using components: Google BigQuery Source

Use the Google BigQuery source component to read data stored in an Google BigQuery table or using a query.

Connection

Select an existing Google BigQuery connection or create a new one.

Source Properties

  • Access mode - select table to extract an entire table or query to execute a query.
  • Source table - the table name from which the data will be imported.
  • 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 BigQuery data types to Xplenty data types.

Google BigQuery Xplenty
String String
Integer Long
Float Double
Timestamp Datetime
Record Map
Record (repeated) Bag

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
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  7. Using components: Database Source
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  12. Using components: Google BigQuery Source
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  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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