pyspark-jupyter-kernels

by Anchormen Shell Version: Current License: Apache-2.0

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kandi X-RAY | pyspark-jupyter-kernels Summary

pyspark-jupyter-kernels is a Shell library typically used in Big Data, Jupyter, Spark applications. pyspark-jupyter-kernels has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

pyspark-jupyter-kernels

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Quality

Security

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Support

pyspark-jupyter-kernels has a low active ecosystem.

It has 10 star(s) with 5 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 3 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyspark-jupyter-kernels is current.

Quality

pyspark-jupyter-kernels has no bugs reported.

Security

pyspark-jupyter-kernels has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

pyspark-jupyter-kernels 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.

Reuse

pyspark-jupyter-kernels releases are not available. You will need to build from source code and install.

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pyspark-jupyter-kernels Key Features

No Key Features are available at this moment for pyspark-jupyter-kernels.

pyspark-jupyter-kernels Examples and Code Snippets

No Code Snippets are available at this moment for pyspark-jupyter-kernels.

Community Discussions

Trending Discussions on pyspark-jupyter-kernels

My codes are they distributed in spark with Jupyter notebook Kernel

QUESTION

My codes are they distributed in spark with Jupyter notebook Kernel

Asked 2020-Nov-18 at 14:02

I need help because I don't know if the Jupyter notebook Kernel are usable in a Spark cluster.

In my local Spark I use this and I don't have problems.

I am using this Kernel for PySpark : https://github.com/Anchormen/pyspark-jupyter-kernels

I am using a Standalone Spark cluster with three nodes without Yarn.

Best regard.

...

ANSWER

Answered 2020-Nov-18 at 14:02

You can connect to your spark cluster standalone using the master IP with the python kernel.

Source https://stackoverflow.com/questions/64894144

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

Vulnerabilities

No vulnerabilities reported

Install pyspark-jupyter-kernels

You can download it from GitHub.

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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