Trickle: incremental joins and aggregates for DuckDB
Trickle keeps tables in a DuckDB database up to date from the changes to their inputs. You write a join or an aggregate once; each run recomputes only the rows affected by what changed since the last run.
import duckdb
import trickle
from trickle import agg
con = duckdb.connect("shop.duckdb")
with trickle.run(con, pipeline="nightly") as t:
# Full snapshots in, change sets out.
t.merge_table("orders", con.sql("FROM read_parquet('drops/orders/*.parquet')"), pk="order_id")
t.merge_table("products", con.sql("FROM read_csv('drops/products.csv')"), pk="product_id")
# Written once; each run only recomputes what the changed orders and products affect.
(t.source("orders")
.join(t.source("products"), on="product_id")
.select("s1.category, s0.quantity * s1.unit_price AS revenue")
.aggregate(by="category", revenue=agg.sum("revenue"), orders=agg.count())
.merge("revenue_by_category"))
Trickle is the incremental engine of Duckstring, a data engineering platform for DuckDB, and is documented at docs.duckstring.com. It is released under the Apache License 2.0.
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Release files for duckstring-trickle 0.2.1
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