Spark_Packaged_project | project contains pyspark jobs to create data pipelines
kandi X-RAY | Spark_Packaged_project Summary
kandi X-RAY | Spark_Packaged_project Summary
Spark_Packaged_project is a Python library. Spark_Packaged_project has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However Spark_Packaged_project build file is not available. You can download it from GitHub.
This project contains pyspark jobs to create data pipelines and shows how to distribute the project package on Cluster.
This project contains pyspark jobs to create data pipelines and shows how to distribute the project package on Cluster.
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Support
Spark_Packaged_project has a low active ecosystem.
It has 0 star(s) with 1 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
Spark_Packaged_project has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Spark_Packaged_project is current.
Quality
Spark_Packaged_project has no bugs reported.
Security
Spark_Packaged_project has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Spark_Packaged_project is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
Spark_Packaged_project releases are not available. You will need to build from source code and install.
Spark_Packaged_project has no build file. You will be need to create the build yourself to build the component from source.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Spark_Packaged_project
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Spark_Packaged_project
Spark_Packaged_project Key Features
No Key Features are available at this moment for Spark_Packaged_project.
Spark_Packaged_project Examples and Code Snippets
No Code Snippets are available at this moment for Spark_Packaged_project.
Community Discussions
No Community Discussions are available at this moment for Spark_Packaged_project.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Spark_Packaged_project
You can download it from GitHub.
You can use Spark_Packaged_project 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.
You can use Spark_Packaged_project 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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