OpenText Analytics Database 26.2.x – Appendix: VMart example database schema, tables, and scripts

Getting-Started: Tables

Mon, 01 Jan 0001 00:00:00 +0000

The three schemas in the VMart database include the following tables:

`public` Schema	`store` Schema	`online_sales` Schema
`inventory_fact`	`store_orders_fact`	`online_sales_fact`
`customer_dimension`	`store_sales_fact`	`call_center_dimension`
`date_dimension`	`store_dimension`	`online_page_dimension`
`employee_dimension`
`product_dimension`
`promotion_dimension`
`shipping_dimension`
`vendor_dimension`
`warehouse_dimension`

Getting-Started: Public schema map

Mon, 01 Jan 0001 00:00:00 +0000

The public schema is a snowflake schema. The following graphic illustrates the public schema and its relationships with tables in the online_sales and store schemas.

The subsequent subsections describe database tables.

Getting-Started: Store schema map

Mon, 01 Jan 0001 00:00:00 +0000

The store schema is a snowflake schema that contains information about the retail chain’s bricks-and-mortar stores. The following graphic illustrates the store schema and its relationship with tables in the public schema.

The subsequent subsections describe database tables.

Getting-Started: online_sales schema map

Mon, 01 Jan 0001 00:00:00 +0000

The online_sales schema is a snowflake schema that contains information about the retail chains. The following graphic illustrates the online_sales schema and its relationship with tables in the public schema.

The subsequent subsections describe database tables.

Getting-Started: Sample scripts

Mon, 01 Jan 0001 00:00:00 +0000

You can create your own queries, but the VMart example directory includes sample query script files to help you get started quickly.

You can find the following sample scripts at this path /opt/vertica/examples/VMart_Schema.

To run any of the scripts, enter

=>  \i <script_name>

Alternatively, type the commands from the script file manually.

Note

The data that your queries return might differ from the example output shown in this guide because the sample data generator is random.