+1 would be a great addition, thanks! Kind regards, Bugra Ozturk
On Thu, May 28, 2026 at 3:52 PM Pavankumar Gopidesu <[email protected]> wrote: > +1 Cool.. > > Regards, > Pavan > > On Thu, May 28, 2026 at 2:19 PM Wei Lee <[email protected]> wrote: > > > +1 > > > > Best, > > Wei > > > > Yeonguk Choo <[email protected]> 於 2026年5月28日週四 下午9:10寫道： > > > > > +1 Cool 🚀 > > > > > > Yeonguk > > > > > > 2026년 5월 28일 (목) 오후 8:13, Amogh Desai <[email protected]>님이 작성: > > > > > > > +1 keep it coming! > > > > > > > > > > > > Thanks & Regards, > > > > Amogh Desai > > > > > > > > On Thu, 28 May 2026 at 4:38 PM, Kaxil Naik <[email protected]> > > wrote: > > > > > > > > > +1 > > > > > > > > > > On Wed, 27 May 2026 at 22:22, Shahar Epstein <[email protected]> > > > wrote: > > > > > > > > > > > +1, welcome aboard! > > > > > > > > > > > > > > > > > > Shahar > > > > > > > > > > > > On Wed, May 27, 2026, 20:39 Bentsi Leviav < > > > > [email protected]> > > > > > > wrote: > > > > > > > > > > > > > Hi Airflow community, > > > > > > > > > > > > > > I'd like to propose adding a new community provider for > > ClickHouse. > > > > > > > Integration overview > > > > > > > > > > > > > > ClickHouse is an open-source column-oriented database > management > > > > system > > > > > > > designed for online analytical processing (OLAP). It is widely > > used > > > > for > > > > > > > real-time analytics, AI workloads, o11y and is particularly > > popular > > > > in > > > > > > data > > > > > > > engineering pipelines where large volumes of data need to be > > > queried > > > > > > fast. > > > > > > > Many Airflow users already use ClickHouse as a destination or > > > source > > > > in > > > > > > > their data pipelines, and a first-class provider would make > that > > > > > > > integration simpler, more consistent, and easier to maintain. > > > > > > > > > > > > > > The provider exposes a ClickHouseHook that extends DbApiHook > via > > > the > > > > > > > clickhouse-connect HTTP client library, enabling full > > compatibility > > > > > with > > > > > > > SQLExecuteQueryOperator and the rest of the Airflow SQL > ecosystem > > > out > > > > > of > > > > > > > the box. > > > > > > > System tests > > > > > > > > > > > > > > The provider integrates with a live ClickHouse service. System > > > tests > > > > > are > > > > > > > included in the PR > > (tests/system/clickhouse/example_clickhouse.py) > > > > and > > > > > > > cover the full lifecycle: create table, insert, read rows, and > > drop > > > > > > table. > > > > > > > Proposed stewardsBentsi Leviav, @BentsiLeviav > > > > > > > <https://github.com/BentsiLeviav>, > > > > > > [email protected] > > > > > > > committer(s) > > > > > > > > > > > > > > @eladkal <https://github.com/eladkal> > > > > > > > Working implementation > > > > > > > > > > > > > > #67080 <https://github.com/apache/airflow/pull/67080> > > > > > > > Incubation commitment > > > > > > > > > > > > > > We commit to: > > > > > > > > > > > > > > - > > > > > > > > > > > > > > Maintaining the provider and responding to issues within a > > > > > reasonable > > > > > > > time > > > > > > > - > > > > > > > > > > > > > > Meeting the incubation health metrics within 6 months > > > > > > > - > > > > > > > > > > > > > > Participating in quarterly governance updates > > > > > > > > > > > > > > > > > > > > > Best regards, > > > > > > > Bentsi Leviav, EM for Connectors & Data Integrations at > > ClickHouse > > > > > > > > > > > > > > > > > > > > > > > > > > > >
