docs/documentation/aggregates/metrics/percentiles.mdx
The percentiles aggregation computes the values below which a given percentage of the data falls.
In this example, the aggregation will return the 50th and 95th percentiles for rating.
import { search } from "@paradedb/drizzle-paradedb";
await db
.select({
agg: search.agg({ percentiles: { field: "rating", percents: [50, 95] } }),
})
.from(mockItems)
.where(search.all(mockItems.id));
from paradedb import Agg, All, ParadeDB
MockItem.objects.filter(
id=ParadeDB(All())
).aggregate(agg=Agg('{"percentiles": {"field": "rating", "percents": [50, 95]}}'))
from sqlalchemy import select
from sqlalchemy.orm import Session
from paradedb.sqlalchemy import facets, pdb, search
stmt = (
select(pdb.agg(facets.percentiles(field="rating", percents=[50, 95])))
.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.percentiles(:rating, percents: [50, 95]))
await dbContext
.MockItems.Where(item => EF.Functions.All(item.Id))
.Select(item =>
EF.Functions.Agg(new { percentiles = new { field = "rating", percents = new[] { 50, 95 } } })
)
.ToListAsync();
agg
---------------------------------------------------------------------
{"values": {"50.0": 4.014835333028612, "95.0": 5.0028295751107414}}
(1 row)
See the Tantivy documentation for all available options.