🚀Postgres to ClickHouse Pushdown Hits Major Milestone
6 More Queries Fully Pushed Down in v0.10
TL;DR
v0.10 of the Postgres-to-ClickHouse adapter now fully pushes down six more TPC-H queries, bringing total coverage to 16 out of 22. This means faster query execution and better performance for analytic workloads.
Postgres to ClickHouse pushdown has hit a major milestone with v0.10, pushing down three more TPC-H queries, including Q17 which saw a massive speedup from 32.7 seconds to 37 milliseconds. This update is crucial for teams running complex analytic workloads on Postgres and looking to leverage ClickHouse's performance benefits. The adapter now covers 16 out of 22 TPC-H queries, with six remaining unpushed.
Key Points
v0.10 of Postgres to ClickHouse adapter pushes down Q17 from 32.7 seconds to 37 milliseconds
Full pushdown now covers 16 out of 22 TPC-H queries, up from 12 in previous versions
Subqueries are transformed into LEFT SEMI JOINs for more efficient execution on ClickHouse
Adapter checks server version and falls back to local evaluation if needed
New setting (transform_null_in) allows switching ClickHouse's IN behavior to match PostgreSQL
Why It Matters
If you're running complex analytic workloads in Postgres, the v0.10 update of the Postgres-to-ClickHouse adapter means faster query execution and better performance for six more TPC-H queries. This is a big deal for teams looking to leverage ClickHouse's speed while maintaining compatibility with PostgreSQL.
Frequently Asked Questions
Why does this matter?
If you're running complex analytic workloads in Postgres, the v0.10 update of the Postgres-to-ClickHouse adapter means faster query execution and better performance for six more TPC-H queries. This is a big deal for teams looking to leverage ClickHouse's speed while maintaining compatibility with PostgreSQL.
What happened?
v0.10 of the Postgres-to-ClickHouse adapter now fully pushes down six more TPC-H queries, bringing total coverage to 16 out of 22. This means faster query execution and better performance for analytic workloads.
Comments
Be the first to comment
Enjoyed this article?
Get it daily. 7am. Free. Reads in 5 minutes.
Join 2,884 builders reading daily.