Benchmarking datasets#
When you provision a Lakehouse node, it comes pre-configured to point to a public S3 bucket in its same region, containing sample benchmarking datasets.
You can query tables in these datasets by referencing them with their schema name.
Schema Name |
Dataset |
|---|---|
tpcds_sf_1 |
TPC-DS, Scale Factor 1 |
tpcds_sf_10 |
TPC-DS, Scale Factor 10 |
tpcds_sf_100 |
TPC-DS, Scale Factor 100 |
tpcds_sf_1000 |
TPC-DS, Scale Factor 1000 |
tpch_sf_1 |
TPC-H, Scale Factor 1 |
tpch_sf_10 |
TPC-H, Scale Factor 10 |
tpch_sf_100 |
TPC-H, Scale Factor 100 |
tpch_sf_1000 |
TPC-H, Scale Factor 1000 |
clickbench |
ClickBench, 100 million rows |
brc_1b |
Billion row challenge |
!!!note Notes about ClickBench data:
Data columns (EventData ) are integers, not dates.
You must quote ClickBench column names, because they contain uppercase letters, but unquoted identifiers in Postgres are case-insensitive. For example:
✅ select "Title" from clickbench.hits;
🚫 select Title from clickbench.hits; !!!