---
id: apache-airflow-providers-apache-drill
version: "3.3.3"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# apache-airflow-providers-apache-drill — Provider package apache-airflow-providers-apache-drill for Apache Airflow

License: permissive · Maintenance: active · Downloads: 186.5K/mo

## What it is and what it does

This is an Apache Airflow provider package that bridges Airflow workflows to Apache Drill, a distributed SQL query engine. It supplies operators, hooks, and connection types for Airflow DAGs to execute SQL queries against Drill clusters and manage those connections within the Airflow ecosystem.

The package depends on apache-airflow (>=2.11.0), the common SQL provider layer (apache-airflow-providers-common-sql >=1.32.0), a compatibility layer (apache-airflow-providers-common-compat >=1.8.0), and sqlalchemy-drill (>=1.1.0 with specific version exclusions). It is maintained as part of the Apache Airflow project, supports Python 3.10 through 3.14, and carries no known security vulnerabilities.

Use it for:

- Schedule and orchestrate SQL queries against Drill clusters as part of larger Airflow data pipelines.
- Integrate Drill query results into multi-step ETL workflows with conditional logic and error handling.
- Monitor and log Drill query execution within Airflow's centralized task tracking and alerting system.
- Connect Drill to other Airflow providers for cross-system data movement and transformation.
- Manage Drill connection credentials and configurations through Airflow's connection UI rather than code.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides Apache Airflow integration for Apache Drill, enabling Airflow workflows to connect to and query Drill clusters via SQL operators and hooks.

Yes. This is an active, production-stable provider package maintained by the Apache Airflow project with no known vulnerabilities. Install it if you run Airflow and need to query Apache Drill clusters from your DAGs. The low install friction and permissive Apache license make adoption straightforward; verify that your Airflow version meets the >=2.11.0 requirement and that your sqlalchemy-drill version avoids the excluded 1.1.6 and 1.1.7 releases.

## Install

pip install apache-airflow-providers-apache-drill
uv add apache-airflow-providers-apache-drill
poetry add apache-airflow-providers-apache-drill

## Installing apache-airflow-providers-apache-drill

Before you install: Low install friction; pure Python wheel. Active maintenance with recent release (68 days old). Requires apache-airflow >=2.11.0, apache-airflow-providers-common-sql >=1.32.0, apache-airflow-providers-common-compat >=1.8.0, and sqlalchemy-drill >=1.1.0 (excluding 1.1.6 and 1.1.7).

License in practice: Apache License 2.0 (permissive). No restrictions on commercial use, modification, or distribution; standard Apache terms apply.

Quickstart:

pip install apache-airflow-providers-apache-drill

from airflow.providers.apache.drill.operators.drill import DrillOperator
from airflow import DAG

with DAG('drill_example') as dag:
    task = DrillOperator(
        task_id='query_drill',
        sql='SELECT * FROM table',
        drill_conn_id='drill_default'
    )

Requires an existing Apache Airflow installation (>=2.11.0) and a configured Drill connection in Airflow.

Verify before relying:

- Specific operators and hooks available beyond the standard SQL provider interface
- Whether sqlalchemy-drill version constraints (!=1.1.6, !=1.1.7) reflect known bugs or compatibility issues

## Package facts

- License: Apache-2.0 (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 186.5K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

airflow apache drill provider, drill sql integration airflow, airflow drill operator, apache drill connector airflow, drill query executor airflow, airflow drill hook, drill database airflow, airflow-provider, drill-integration, data-orchestration

[View on SkillFed](https://skillfed.io/packages/apache-airflow-providers-apache-drill) · [View on PyPI](https://pypi.org/project/apache-airflow-providers-apache-drill/)