Sample data
Aerospike Voyager includes pre-built sample datasets that you can load into your cluster with one click. Sample data lets you immediately browse records, try filters, and explore different Aerospike data types without writing any application code.
Loading sample data
Right-click a namespace in the sidebar (or click its three-dot menu) and select Load sample data.
Loading takes a few seconds. When it completes, 9 sample sets appear in the sidebar under the selected namespace.
Available datasets
Voyager ships 600 records across 9 sets in three domains:
| Dataset | Domain | Records | Description |
|---|---|---|---|
| sample_audience | Ad tech | 50 | Audience segments for ad targeting |
| sample_campaign | Ad tech | 50 | Campaign configuration records |
| sample_creative | Ad tech | 100 | Ad creative assets and metadata |
| sample_lineitem | Ad tech | 100 | Line items linking campaigns to creatives |
| sample_orders | E-commerce | 50 | Order records with line items and totals |
| sample_products | E-commerce | 50 | Product catalog entries |
| sample_segment | User data | 50 | User segment definitions |
| sample_user_profile | User data | 100 | Detailed user profiles with preferences |
| sample_users | User data | 50 | Core user records |
Exploring sample data
After loading, try these steps to get familiar with the data browser:
- Browse a set: Click sample_users in the sidebar to see user records with string, integer, and list bins.
- Expand nested data: Open sample_user_profile and click the expand arrow on a list or map bin to drill into nested structures.
- Try a filter: In sample_products, use the filter builder to filter by a numeric bin (such as price greater than a threshold).
- Inspect metadata: Each record card header shows its TTL, generation count, and digest.
- Look at different data types: Browse sample_orders to see records with map bins representing order line items.
Deleting sample data
When you are done exploring, remove all sample data from the namespace:
- Right-click the namespace in the sidebar (or click its three-dot menu).
- Select Delete sample data and confirm.
This deletes all records in the 9 sample sets in the selected namespace. Other data in the cluster is unaffected.