Use DLF shared sample datasets
DLF provides TPC-DS sample databases of multiple sizes and a search sample dataset. Use them to validate traditional big data queries and performance, or multimodal scenarios such as image, vector, and full-text search. This topic describes the available datasets and how to create and use a read-only sample catalog.
Select a sample dataset
DLF provides the following types of shared sample datasets:
- TPC-DS Paimon and TPC-DS Iceberg datasets: Use these datasets for traditional big data queries, analytics, and performance validation.
- Search sample dataset: This dataset contains images, vectors, and official documentation data for multimodal scenarios such as image, vector, and full-text search.
The following datasets are available:
|
Sample database name |
Sample data description |
|
tpcds_paimon_sf1 |
TPC-DS 1 GB Paimon table |
|
tpcds_paimon_sf2 |
TPC-DS 2 GB Paimon table |
|
tpcds_paimon_sf10 |
TPC-DS 10 GB Paimon table |
|
tpcds_paimon_sf100 |
TPC-DS 100 GB Paimon table |
|
tpcds_iceberg_sf1 |
TPC-DS 1 GB Iceberg table |
|
search_samples |
Search sample dataset with images, vectors, and official documentation data for image retrieval, vector retrieval, and full-text search scenarios |
Create a read-only sample catalog
- Log on to the DLF console
-
In the left navigation pane, click Catalogs.
-
Click , locate the data share named
dlf_samples, and click Create Catalog.The catalog created from a received share is read-only.
-
Click the Catalogs tab to view the newly created catalog.
In the catalog list, the status of the new catalog appears as Running.
Use sample datasets
Sample datasets are created and maintained by the DLF team and support multimodal capabilities including image search, visual exploration, and full-text search. For detailed instructions, see Quickly experience DLF multimodal retrieval.