docs/documentation/aggregates/metrics/stats.mdx
The stats aggregation returns the count, sum, min, max, and average all at once.
<CodeGroup> ```sql SQL SELECT pdb.agg('{"stats": {"field": "rating"}}') FROM mock_items WHERE id @@@ pdb.all(); ```from paradedb import Agg, All, ParadeDB
MockItem.objects.filter(
id=ParadeDB(All())
).aggregate(agg=Agg('{"stats": {"field": "rating"}}'))
from sqlalchemy import select
from sqlalchemy.orm import Session
from paradedb.sqlalchemy import facets, pdb, search
stmt = (
select(pdb.agg(facets.stats(field="rating")))
.select_from(MockItem)
.where(search.all(MockItem.id))
)
with Session(engine) as session:
session.execute(stmt).all()
MockItem.search(:id)
.match_all
.facets_agg(agg: ParadeDB::Aggregations.stats(:rating))
agg
--------------------------------------------------------------------------------
{"avg": 3.8536585365853657, "max": 5.0, "min": 1.0, "sum": 158.0, "count": 41}
(1 row)
See the Tantivy documentation for all available options.