apache-airflow-providers-apache-drill
Provider package apache-airflow-providers-apache-drill for Apache Airflow
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an existing Apache Airflow installation (>=2.11.0) and a configured Drill connection in Airflow.
- Low install friction; pure Python wheel.
- Active maintenance with recent release (68 days old).
License · maintenance · safety
Apache-2.0 (permissive) — Apache License 2.0 (permissive). No restrictions on commercial use, modification, or distribution; standard Apache terms apply.
last release 2026-06-07 (68 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 186,485 downloads/mo, #9,985 on PyPI
Alternatives
Verify before relying
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'
)- 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
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 on this page. Verify before relying on it.
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
apache-airflow-providers-apache-drill on PyPI
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).
Requires an existing Apache Airflow installation (>=2.11.0) and a configured Drill connection in Airflow.
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'
)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 the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesapache-airflowapache-airflow-providers-common-sqlapache-airflow-providers-common-compatsqlalchemy-drill |
| Maintenance | Actively maintained 68 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 186,485 / month, #9,985 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleEnvironment :: Web EnvironmentFramework :: Apache AirflowFramework :: Apache Airflow :: ProviderIntended Audience :: DevelopersIntended Audience :: System AdministratorsProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: System :: Monitoring |
Evidence: apache_airflow_providers_apache_drill-3.3.3-py3-none-any.whl
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See also apache-airflow-providers-common-sql · apache-airflow-providers-sqlite · apache-airflow-providers-apache-pinot · apache-airflow-providers-odbc · apache-airflow-providers-apache-druid · apache-airflow-providers-apache-impala · apache-airflow-providers-pgvector · apache-airflow-providers-ydb · sqlalchemy-drill · apache-airflow-providers-common-ai