Airflow Hooks Vs Operators

There is however some confusion on the best way to implement them.

Airflow hooks vs operators. Operators determine what actually executes when your dag runs. All hooks are derived from basehook. See the operators concepts documentation and the operators api reference for more information. The asf licenses this file to you under the apache license version.

Sqlite3 remain in the core package. Hook and operator packages are releasable separately from the core airflow package. Hooks packages all hooks are in the following packages. Airflow pools can be used to limit the execution parallelism on arbitrary sets of tasks.

Utf 8 licensed to the apache software foundation asf under one or more contributor license agreements. Module contents class airflow contrib operators ssh operator sshoperator ssh hook none ssh conn id none remote host none command none timeout 10 do xcom push false environment none get pty false args kwargs source. These integrations allow you to perform various operations within software developed by apache software foundation. See the notice file distributed with this work for additional information regarding copyright ownership.

Source code for airflow operators postgres operator coding. An operator represents a single ideally idempotent task. Airflow models baseoperator sshoperator to execute commands on given remote host using the ssh hook. Software operators and hooks.

According to the airflow documentation they can be added using airflow s plugins mechanism. Hooks operators that do not tie to a specific system or are part of the standard python distribution e g. Custom hooks and operators are a powerful way to extend airflow to meet your needs. Hooks hooks are interfaces to external platforms and databases implementing a common interface when possible and acting as building blocks for operators.

Feedback on a specific hook or operator is easily routed to the person or group with relevant expertise.