airflow-example | Airflow with LocalExecutor and Postgres | Continuous Deployment library

by alysivji Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | airflow-example Summary

airflow-example is a Python library typically used in Devops, Continuous Deployment, PostgresSQL, Docker applications. airflow-example has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Airflow with LocalExecutor and Postgres using Docker-Compose. DAGs go in dags.

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airflow-example has a low active ecosystem.

It has 8 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

airflow-example has no issues reported. There are 11 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of airflow-example is current.

Quality

airflow-example has no bugs reported.

Security

airflow-example has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

airflow-example does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

airflow-example releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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airflow-example Key Features

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airflow-example Examples and Code Snippets

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Community Discussions

Trending Discussions on airflow-example

Airflow dependency error when instantiating multiple tasks via a 'for' loop

QUESTION

Airflow dependency error when instantiating multiple tasks via a 'for' loop

Asked 2017-Jul-25 at 22:03

I'm running this DAG. It import functions from dash_workers.py (not included, yet--would this be helpful?) and implements those functions as tasks defined by PythonOperator. I am using airflow version 1.8.0:

...

ANSWER

Answered 2017-Jul-24 at 14:53

Not directly related to your problem, but you don't need to import airflow.models in your case just do from airflow.models import DAG and do the necessary changes.

You pointed to an example which shows a DAG with PythonOperator generating tasks dynamically, but you seem that you didn't quite understood it.

In your case you must assign tasks names dynamically, so that each new task can be registered and shown in the webserver.

Source https://stackoverflow.com/questions/45227118

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install airflow-example

You can download it from GitHub.
You can use airflow-example like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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