apache-airflow-providers-apache-impala

What it is and what it does

This is an Apache Airflow provider package that adds Apache Impala support to Airflow workflows. It supplies operators and hooks that allow you to define, schedule, and execute Impala SQL queries as part of Airflow DAGs, integrating Impala database operations into larger data pipeline orchestrations.

The package depends on impyla for Impala connectivity, plus Airflow's common SQL and compatibility providers. It supports Python 3.10 through 3.14 and is actively maintained as part of the Apache Airflow ecosystem. Optional extras for Kerberos authentication and SQLAlchemy are available for extended functionality.

Use it for:

• Schedule and orchestrate regular Impala SQL queries as part of data pipeline DAGs in Airflow
• Integrate Impala data transformations into multi-step workflows alongside other data sources
• Monitor and log Impala query execution within Airflow's centralized task tracking and alerting
• Build data warehouse ETL pipelines that read from or write to Impala tables

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Integrates Apache Impala with Apache Airflow, providing operators and hooks to query and manage Impala databases within Airflow workflows.

Yes, if you run Apache Airflow and need to query or manage Apache Impala databases. The package is actively maintained, has low install friction, carries a permissive license, and integrates cleanly with Airflow's provider ecosystem. No known vulnerabilities. Install only if Impala is part of your data stack.

Install

apache-airflow-providers-apache-impala on PyPI

pip install apache-airflow-providers-apache-impala

uv add apache-airflow-providers-apache-impala

poetry add apache-airflow-providers-apache-impala

Installing apache-airflow-providers-apache-impala

Before you install

Low friction install with active maintenance. Requires Apache Airflow >=2.11.0 and impyla >=0.22.0,<1.0. Last release 68 days ago with active repository status.

License in practice

Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions.

Quickstart

pip install apache-airflow-providers-apache-impala

from airflow.providers.apache.impala.operators.impala import ImpalaOperator
from airflow import DAG

with DAG('impala_query') as dag:
    query_task = ImpalaOperator(
        task_id='run_impala_query',
        sql='SELECT * FROM table_name'
    )

Requires Apache Airflow >=2.11.0 and Python >=3.10; impyla >=0.22.0,<1.0 must be available.

Verify before relying

• Whether optional kerberos or sqlalchemy extras are required for specific use cases
• Performance characteristics when querying large Impala datasets through Airflow

Package facts

Evidence: apache_airflow_providers_apache_impala-1.9.3-py3-none-any.whl

Keywords: airflow-provider, apache.impala, airflow, integration

Tags

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