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Release 8.2.1



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Use the Hive browser to interact with your connected instance of Hive. Hive sources can be stored as Hive database tables and views, or you can select or create tables to which to publish job results.
  • Your Trifacta® deployment must be connected to a running instance of Hive.
  • The Hive browser appears when you select the Hive tab to create a dataset. See Import Data Page.
  • When specifying a job, you can choose to write a publishing action to Hive. See Run Job Page.
  • For more information on interacting with Hive, see Using Hive.

Figure: Hive Browser

Browse Hive

Use the links and icons to browse for Hive databases and tables.

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

IdentifierTypeDescription
Database

Click these links to open a Hive database to reveal its tables.

Table

Click the Plus icon to select this Hive table as your source.

View

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


NOTE: Previewing complex views may impact performance.

Page navigation

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

NOTE: In some cases, subsequent pages of tables may be blank, and counts of tables 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 of databases or tables, 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 or table name.

Preview Table Data

Database tables are displayed by name only. To preview the data in the table, click the Eye icon next to the name of the table. 

Tip: Table previews include available metadata information, such as column headers and column and row counts.


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


Create Dataset with SQL

As needed, you can pre-filter the selected table or view inside the database. 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.

For more information, see Enable Custom SQL Query.

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