airflow-gcp-examples | smoke tests for the GCP Airflow operators | BPM library

by alexvanboxel Python Version: Current License: Apache-2.0

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

kandi X-RAY | airflow-gcp-examples Summary

airflow-gcp-examples is a Python library typically used in Automation, BPM, Docker applications. airflow-gcp-examples has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However airflow-gcp-examples build file is not available. You can download it from GitHub.

Repository with examples and smoke tests for the GCP Airflow operators and hooks

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airflow-gcp-examples has a low active ecosystem.

It has 136 star(s) with 34 fork(s). There are 18 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 1 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of airflow-gcp-examples is current.

Quality

airflow-gcp-examples has 0 bugs and 6 code smells.

Security

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

airflow-gcp-examples code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

airflow-gcp-examples is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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

airflow-gcp-examples has no build file. You will be need to create the build yourself to build the component from source.

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

airflow-gcp-examples saves you 130 person hours of effort in developing the same functionality from scratch.

It has 327 lines of code, 16 functions and 13 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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airflow-gcp-examples Key Features

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airflow-gcp-examples Examples and Code Snippets

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Community Discussions

Trending Discussions on airflow-gcp-examples

Airflow - GoogleCloudStorageToBigQueryOperator does not render templated source_objects

QUESTION

Airflow - GoogleCloudStorageToBigQueryOperator does not render templated source_objects

Asked 2018-Sep-26 at 18:37

The documentation states that the source_objects argument takes templated values. However when I try the following:

...

ANSWER

Answered 2018-Sep-26 at 18:37

The issue is exactly like Dustin has described, calling .format on the string is causing one set of the double braces to be removed. However, instead of doubling the bracket which is 1 solution:

Source https://stackoverflow.com/questions/52261904

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

Vulnerabilities

No vulnerabilities reported

Install airflow-gcp-examples

This Google Cloud Examples does assume you will have a standard Airflow setup up and running. This tutorial does work perfectly locally as in a production setup because the only requirement is that you have a service key, that we'll explain next. But first a quick rundown of what you need:.
Running Airflow (as of this writing you need Airflow master branch!!!)
Create a service account (Cloud Console)
Setup a Google Cloud Connection in Airflow
Setup variables that the DAG's will need
Copy the DAG's to your dags folder
Make sure you're running the LocalExecutor and have a decent database setup.
Checkout master of Airflow
pip install google-api-python-client
python setup.py install

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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