airscholar / SparkingFlow

This project demonstrates how to use Apache Airflow to submit jobs to Apache spark cluster in different programming laguages using Python, Scala and Java as an example.

airscholar
airscholar
Date Created 2023-11-04 (about a year ago)
Commits 2 (last one about a year ago)
Stargazers 41 (0 this week)
Watchers 2 (0 this week)
Forks 26
License unknown
Ranking

RepositoryStats indexes 631,351 repositories, of these airscholar/SparkingFlow is ranked #539,782 (15th percentile) for total stargazers, and #480,831 for total watchers. Github reports the primary language for this repository as Java, for repositories using this language it is ranked #26,729/29,423.

airscholar/SparkingFlow is also tagged with popular topics, for these it's ranked: java (#7,356/7963),  docker (#5,936/6595),  scala (#939/998),  spark (#515/552),  pyspark (#101/117)

Other Information

airscholar/SparkingFlow has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 4 open issues and 2 closed issues.

Homepage URL: https://www.datamasterylab.com/home/course/apache-airflow-on-steriods-for-data-engineers/9

Star History

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Recent Commit History

2 commits on the default branch (main) since jan '22

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Issue History

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Languages

The primary language is Java but there's also others...

JavaJavaPythonPythonScalaScalaDockerfileDockerfile

updated: 2025-03-25 @ 01:14am, id: 714294968 / R_kgDOKpNGuA