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Right-shift operation

As explained in Data Pipelines with Apache Airflow, Second Edition

The right shift operator is a Python operator that shifts the binary representation of an integer to the right and is overloaded by Airflow for expressing task dependencies.

The right-shift operator (>>) normally shifts an integer’s binary representation in Python. Airflow overrides it for task objects, turning familiar Python syntax into a readable way to declare workflow dependencies. section 2.2

In a rocket-launch pipeline, downloading launch metadata must finish before fetching pictures, and picture fetching must finish before notification. Writing download_launches >> get_pictures >> notify expresses that ordering directly. section 2.2 section 6.1.1

A linear Airflow dependency chain

download_launches >> get_pictures >> notify Airflow starts each downstream task only after its upstream dependency completes successfully. If download_launches fails, get_pictures is postponed; configurable task retries can address temporary failures such as network problems. section 2.2 section 6.1.1

Listing 6.2 Adding dependencies between tasks
download_launches >> get_pictures            #1
get_pictures >> notify

download_launches >> get_pictures >> notify    #2

Compare separate dependency statements with the equivalent chained expression. section 6.1.1

How Data Pipelines with Apache Airflow, Second Edition covers it

How deep it goes
Explains Python’s original bit-shifting meaning, Airflow’s overload, linear syntax, success gating, failure propagation, and retries.
Examples
Demonstrates metadata download, picture fetching, notification, and equivalent chained or separate dependency declarations.
What it assumes
Assumes Python operator familiarity and Airflow tasks, while explaining dependency semantics from the workflow scenario.
What you can do after
Apply it via Airflow to declare task order and delay downstream work until upstream tasks succeed.
How it connects
Connects right-shift operation with Python operators, Airflow tasks, DAGs, task dependencies, scheduling, and retries.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Data Pipelines with Apache Airflow, Second Edition. The section links point to the parts of the book it draws on.