Viewing data access patterns - Amazon DynamoDB
Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

Viewing data access patterns

In NoSQL Workbench, facets represent an application's different data access patterns for Amazon DynamoDB. Facets can help you visualize your data model when multiple data types are represented by a sort key. Facets give you a way to view a subset of the data in a table, without having to see records that don't meet the constraints of the facet. Facets are considered a visual data modeling tool, and don't exist as a usable construct in DynamoDB, as they are purely an aid to modeling of access patterns.

To see an example of facets, you can import one of our sample data models with facets as part of the data model template.

Import sample data model
  1. On the left, choose Amazon DynamoDB.

  2. In the Sample data models section, hover your pointer over Music Library Data Model and choose Import.

                        Console screenshot showing import of sample data.
  3. In the navigation pane on the left side, choose the visualizer icon.

                        Console screenshot showing the visualizer icon.
  4. Choose the Songs table to expand it. You'll be shown an aggregate view of your data.

                        Console screenshot showing aggregate data and the expanded Songs
  5. Choose Facets drop-down arrow to expand the available facets.

  6. Choose the SongDetails facet to visualize the data with the SongDetails facet applied.

                        Console screenshot showing the expanded table.

You can also edit the facet definitions using the Data Modeler. For more information, see Editing an existing data model.