BigQuery Dataset Create
In this article
Overview
You can use this Snap to create BigQuery Datasets. Datasets are top-level containers that you can use to organize and control access to your tables and views.
Snap Type
BigQuery Dataset Create Snap is a WRITE-type Snap that creates BigQuery Dataset.
Prerequisites
A valid Google BigQuery Account with the required permissions.
Access/Valid permissions to the project to create a dataset
Support for Ultra Pipelines
Works in Ultra Pipelines.
Limitations
You can set the geographic location only at the time of creating a dataset. After you create the dataset, the location becomes immutable.
Dataset names must be unique for each project.
Known Issues
None.
Snap Views
Type | Format | Number of Views | Examples of Upstream and Downstream Snaps | Description |
---|---|---|---|---|
Input | Document |
|
| The Snap can have at the most one input document that provides the value for the project ID or Dataset ID |
Output | Document |
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| The Snap has a minimum of one output that provides information on whether the dataset is created or not. You can add an input and error views to view the result. |
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:
Learn more about Error handling in Pipelines. |
Snap Settings
Asterisk (*): Indicates a mandatory field.
Suggestion icon (): Indicates a list that is dynamically populated based on the configuration.
Expression icon (): Indicates the value is an expression (if enabled) or a static value (if disabled). Learn more about Using Expressions in SnapLogic.
Add icon (): Indicates that you can add fields in the fieldset.
Remove icon (): Indicates that you can remove fields from the fieldset.
Field Name | Field Type | Field Dependency | Description |
---|---|---|---|
Label* Default Value: BigQuery Dataset Create | String | None | Specify a unique name for the Dataset that is to be created. Dataset names must be unique for each project. |
Project ID* Default Value: None | String/Expression | None | Specify the Project ID in which the dataset is to be created. |
Dataset ID* Default Value: None | String/Expression | None | Specify the Project ID in which the dataset is to be created. |
Detailed Information Default Value: Deselected | Checkbox | None | Select this checkbox to allow the Snap to display additional fields which can be included while creating the dataset. |
Location Default Value: None | String/Expression | Displays when Detailed Information is selected. | Specify the geographic location where you want to create the dataset. You can set the geographic location only at the time of creating a dataset. After you create the dataset, the location becomes immutable. |
Default Table Expiration (in Days) Default Value: None | String/Expression | Displays when Detailed Information is selected. | Specify the number of days after which any new table created in this dataset should be automatically deleted. You can use this field only if you want to create a dataset to store temporary data that is not to be preserved for longer. |
Snap Execution Default Value: | Dropdown list | N/A | Select one of the following three modes in which the Snap executes:
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Examples
Creating a Dataset and then Deleting the Same
This example Pipeline demonstrates how to create a Dataset by using the Dataset Create Snap at the specified location.
First, configure the Dataset Create Snap to create the dataset as specified below.
On validation, the output displays that the Dataset has been created with the timestamp.
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