docs/documentation/aggregates/metrics/sum.mdx
The sum aggregation computes the sum of a field.
<CodeGroup> ```sql SQL SELECT pdb.agg('{"sum": {"field": "rating"}}') FROM mock_items WHERE id @@@ pdb.all(); ```from paradedb import Agg, All, ParadeDB
MockItem.objects.filter(
id=ParadeDB(All())
).aggregate(agg=Agg('{"sum": {"field": "rating"}}'))
from sqlalchemy import select
from sqlalchemy.orm import Session
from paradedb.sqlalchemy import facets, pdb, search
stmt = (
select(pdb.agg(facets.sum(field="rating")))
.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.sum(:rating))
agg
------------------
{"value": 158.0}
(1 row)
See the Tantivy documentation for all available options.
SQL's SUM syntax is supported in beta. To enable it, first run
SET paradedb.enable_aggregate_custom_scan TO on;
With this feature enabled, the following query is equivalent to the above and is executed in the same way.
<CodeGroup> ```sql SQL SELECT SUM(rating) FROM mock_items WHERE id @@@ pdb.all(); ```from django.db.models import Sum
from paradedb import All, ParadeDB
MockItem.objects.filter(
id=ParadeDB(All())
).aggregate(total=Sum('rating'))
from sqlalchemy import func, select
from sqlalchemy.orm import Session
from paradedb.sqlalchemy import search
stmt = (
select(func.sum(MockItem.rating))
.select_from(MockItem)
.where(search.all(MockItem.id))
)
with Session(engine) as session:
session.execute(stmt).all()
MockItem.search(:id).match_all.sum(:rating)
By default, SUM ignores null values. Use COALESCE to include them in the final sum:
from django.db.models import Sum, Value
from django.db.models.functions import Coalesce
from paradedb import All, ParadeDB
MockItem.objects.filter(
id=ParadeDB(All())
).aggregate(total=Sum(Coalesce('rating', Value(0))))
from sqlalchemy import func, select
from sqlalchemy.orm import Session
from paradedb.sqlalchemy import search
stmt = (
select(func.sum(func.coalesce(MockItem.rating, 0)))
.select_from(MockItem)
.where(search.all(MockItem.id))
)
with Session(engine) as session:
session.execute(stmt).all()
rating = MockItem.arel_table[:rating]
coalesced_rating = Arel::Nodes::NamedFunction.new("COALESCE", [rating, Arel::Nodes.build_quoted(0)])
MockItem.search(:id).match_all.sum(coalesced_rating)