Data Volume Treemap
Coverage isn't only whichtables exist — it's how much is in them. Here every vertical is sized by its real backbone row count. World Surf League holds 86.3% of all rows on its own; the other three combined are barely 13.7%. Areas are proportional — a rectangle twice as big holds twice the rows.
Total rows
621,307
across the backbone
Largest vertical
World
536,073 rows
WSL share
86.3%
of all rows
Biggest cell
274,159
wsl · results
Rows by vertical — area = share of all backbone rows
World Surf League
asd_wsl
536,073
86.3% of all rows
Major Arena Soccer League
asd_masl
32,147
5.17% of all rows
High Limit Racing
asd_hlr
30,428
4.90% of all rows
Supercross / Motocross
asd_smx
22,659
3.65% of all rows
WSL is a single full-height column because it alone is 86.3% of the data. The three narrow stacked blocks are SMX, MASL and HLR at true relative size — all solid, all 6/6 on the spine, just two orders of magnitude smaller.
Where the rows live — six backbone tables per sport
Biggest cells in the product
Five of the six largest cells are WSL. Its resultstable alone is bigger than every other sport's entire backbone combined.
What this means for query cost
Scale is a feature and a footgun. An unbounded SELECT * FROM asd_wsl.results pulls 274,159 rows back through the paged Data API — always LIMIT exploratory WSL queries.
And remember the shape trap: MASL competitors = 47 rows because those are teams, not people — real MASL players live in masl_players. Small isn't incomplete.
Pulled with AWS_PROFILE=asd against Redshift Serverless (us-west-1 / default-workgroup / dev).