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Limitations and Known Issues

  • The rounding_mode option for BIGNUMERIC and NUMERIC data type fields is not supported. These data type fields fields can be configured on the Google Cloud console.

  • This Snap considers only the following JSON keys in the schema during table creation (any other keys given are ignored):

    • name

    • type

    • mode

    • description

    • fields

In the following example, the Snap creates the table with the with name, type, and mode keys but ignores defaultValueExpression. There is no error displayed for unsupported keys.

[{
"name": "sales",
"type": "FLOAT",
"mode": "NULLABLE",
"defaultValueExpression": "2.55"
}]

Snap Views

Type

Format

Number of Views

Examples of Upstream and Downstream Snaps

Description

Input 

Document

  • Min: 0

  • Max: 1

  • Mapper

  • JSON Generator

The Project ID and the Document ID.

Output

Document

  • Min: 1

  • Max: 1

  • JSON Parser

  • File Writer

The list of Table IDs along with their Project IDs, Dataset IDs, and Table type.

Error

Error handling is a generic way to handle errors without losing data or failing the Snap execution. You can handle the errors that the Snap might encounter while running the Pipeline by choosing one of the following options from the When errors occur list under the Views tab:

  • Stop Pipeline Execution: Stops the current pipeline execution if the Snap encounters an error.

  • Discard Error Data and Continue: Ignores the error, discards that record, and continues with the remaining records.

  • Route Error Data to Error View: Routes the error data to an error view without stopping the Snap execution.

Learn more about Error handling in Pipelines.

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