--- title: Cardinality description: Compute the number of distinct values in a field canonical: https://docs.paradedb.com/documentation/aggregates/metrics/cardinality --- The cardinality aggregation estimates the number of distinct values in a field. ```sql SQL SELECT pdb.agg('{"cardinality": {"field": "rating"}}') FROM mock_items WHERE id @@@ pdb.all(); ``` ```ts Drizzle import { search } from "@paradedb/drizzle-paradedb"; await db .select({ agg: search.agg({ cardinality: { field: "rating" } }), }) .from(mockItems) .where(search.all(mockItems.id)); ``` ```python Django from paradedb import Agg, All, ParadeDB MockItem.objects.filter( id=ParadeDB(All()) ).aggregate(agg=Agg('{"cardinality": {"field": "rating"}}')) ``` ```python SQLAlchemy from sqlalchemy import select from sqlalchemy.orm import Session from paradedb.sqlalchemy import pdb, search stmt = ( select(pdb.agg({"cardinality": {"field": "rating"}})) .select_from(MockItem) .where(search.all(MockItem.id)) ) with Session(engine) as session: session.execute(stmt).all() ``` ```ruby Rails MockItem.search(:id) .match_all .facets_agg(agg: { cardinality: { field: "rating" } }) ``` ```cs EF Core await dbContext .MockItems.Where(item => EF.Functions.All(item.Id)) .Select(item => EF.Functions.Agg(new { cardinality = new { field = "rating" } })) .ToListAsync(); ``` ```ini Expected Response agg ---------------- {"value": 5.0} (1 row) ``` Unlike SQL's `DISTINCT` clause, which returns an exact value but is very computationally expensive, the cardinality aggregation uses the HyperLogLog++ algorithm to closely approximate the number of distinct values. See the [Tantivy documentation](https://docs.rs/tantivy/latest/tantivy/aggregation/metric/struct.CardinalityAggregationReq.html) for all available options.