Percentiles - Paradedb

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(); ```

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]))

</CodeGroup>

ini

                                 agg
---------------------------------------------------------------------
 {"values": {"50.0": 4.014835333028612, "95.0": 5.0028295751107414}}
(1 row)

See the Tantivy documentation for all available options.