Date Histogram - Paradedb

The date histogram aggregation constructs a histogram for date fields.

<CodeGroup> ```sql SQL SELECT pdb.agg('{"date_histogram": {"field": "created_at", "fixed_interval": "30d"}}') FROM mock_items WHERE id @@@ pdb.all(); ```

python

from paradedb import Agg, All, ParadeDB

MockItem.objects.filter(
    id=ParadeDB(All())
).aggregate(agg=Agg('{"date_histogram": {"field": "created_at", "fixed_interval": "30d"}}'))

python

from sqlalchemy import select
from sqlalchemy.orm import Session
from paradedb.sqlalchemy import facets, pdb, search

stmt = (
    select(pdb.agg(facets.date_histogram(field="created_at", fixed_interval="30d")))
    .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.date_histogram(:created_at, fixed_interval: "30d"))

</CodeGroup>

ini


---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
 {"buckets": [{"key": 1679616000000.0, "doc_count": 14, "key_as_string": "2023-03-24T00:00:00Z"}, {"key": 1682208000000.0, "doc_count": 27, "key_as_string": "2023-04-23T00:00:00Z"}]}
(1 row)

See the Tantivy documentation for all available options.