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Percentiles

docs/documentation/aggregates/metrics/percentiles.mdx

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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.

<CodeGroup> ```sql SQL SELECT pdb.agg('{"percentiles": {"field": "rating", "percents": [50, 95]}}') FROM mock_items WHERE id @@@ pdb.all(); ```
ts
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));
python
from paradedb import Agg, All, ParadeDB

MockItem.objects.filter(
    id=ParadeDB(All())
).aggregate(agg=Agg('{"percentiles": {"field": "rating", "percents": [50, 95]}}'))
python
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()
ruby
MockItem.search(:id)
        .match_all
        .facets_agg(agg: ParadeDB::Aggregations.percentiles(:rating, percents: [50, 95]))
cs
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();
</CodeGroup>
ini
                                 agg
---------------------------------------------------------------------
 {"values": {"50.0": 4.014835333028612, "95.0": 5.0028295751107414}}
(1 row)

See the Tantivy documentation for all available options.