docs/documentation/aggregates/bucket/range.mdx
The range aggregation counts the number of occurrences over user-defined buckets. The buckets must be continuous and cannot overlap.
<CodeGroup> ```sql SQL SELECT pdb.agg('{"range": {"field": "rating", "ranges": [{"to": 3.0 }, {"from": 3.0, "to": 6.0} ]}}') FROM mock_items WHERE id @@@ pdb.all(); ```from paradedb import Agg, All, ParadeDB
MockItem.objects.filter(
id=ParadeDB(All())
).aggregate(agg=Agg('{"range": {"field": "rating", "ranges": [{"to": 3.0}, {"from": 3.0, "to": 6.0}]}}'))
from sqlalchemy import select
from sqlalchemy.orm import Session
from paradedb.sqlalchemy import facets, pdb, search
stmt = (
select(
pdb.agg(
facets.range(
field="rating",
ranges=[{"to": 3.0}, {"from": 3.0, "to": 6.0}],
)
)
)
.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.range(
:rating,
ranges: [{ to: 3.0 }, { from: 3.0, to: 6.0 }]
)
)
agg
----------------------------------------------------------------------------------------------------------------------------------------------------------------
{"buckets": [{"to": 3.0, "key": "*-3", "doc_count": 4}, {"to": 6.0, "key": "3-6", "from": 3.0, "doc_count": 37}, {"key": "6-*", "from": 6.0, "doc_count": 0}]}
(1 row)
See the Tantivy documentation for all available options.