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The database browser enables you to interact with databases that are connected to Trifacta® Wrangler Enterprise

The database browser appears when:

  • You select one of the database tabs to create an imported dataset. See Import Data Page.

  • You add a publishing action in the Run Job page and choose a database connection through which to write the job results. See Run Job Page.

Figure: Database Browser

Browse Databases

Use the links and icons to browse databases and their tables and views.

NOTE: Depending on the database type, rows may not be displayed in a specific order.


NOTE: Avoid using the Back button on your browser, which exits the browser without applying changes to your configuration.

IdentifierTypeDescription
Database

Click these links to open a database to reveal its tables and views.

 

Schema(Postgres only) Click a schema link to display the tables and views that use the schema.
Table

Click the Plus icon to select this table.

To preview its data, hover over the name of the table, and then click the Eye icon.

Tip: Sizes and update timestamps are calculated and displayed next to tables. They are not displayed next to databases.

NOTE: Column count information is not available for nested tables.

View

Click the Plus icon to select this view as your source.

To preview its data, hover over the view name and then click the Eye icon.

NOTE: Previewing complex views may impact performance.

Page navigation

Use these links to navigate between pages of databases and tables and views.

NOTE: In some cases, subsequent pages of tables and views may be blank, and counts of tables and views may not match displayed figures. This is a known issue.

Breadcrumb

Click the links in the breadcrumb trail to navigate.

Search List

To filter the list, enter a string in the Search box. The filter is applied as you type and matches anywhere in the name of a currently displayed database, table, or view name.

Create Dataset with SQL

As needed, you can pre-filter a selected table or view inside the database prior to import. By entering a custom SQL statement, you can remove unnecessary data from the dataset that is extracted from the database, which enables faster and more meaningful imports of your database data. See Create Dataset with SQL.

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