pyspark-tutorial | PySpark-Tutorial provides basic algorithms using PySpark

by mahmoudparsian Jupyter Notebook Version: Current License: Non-SPDX

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kandi X-RAY | pyspark-tutorial Summary

pyspark-tutorial is a Jupyter Notebook library typically used in Big Data, Spark applications. pyspark-tutorial has no bugs, it has no vulnerabilities and it has medium support. However pyspark-tutorial has a Non-SPDX License. You can download it from GitHub.

PySpark is the Python API for Spark. The purpose of PySpark tutorial is to provide basic distributed algorithms using PySpark. PySpark has an interactive shell ($SPARK_HOME/bin/pyspark) for basic testing and debugging and is not supposed to be used for production environment. You may use $SPARK_HOME/bin/spark-submit command for running PySpark programs (may be used for testing and production environemtns).

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Support

pyspark-tutorial has a medium active ecosystem.

It has 1009 star(s) with 429 fork(s). There are 54 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 119 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyspark-tutorial is current.

Quality

pyspark-tutorial has 0 bugs and 0 code smells.

Security

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

pyspark-tutorial code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyspark-tutorial has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

Top functions reviewed by kandi - BETA

kandi has reviewed pyspark-tutorial and discovered the below as its top functions. This is intended to give you an instant insight into pyspark-tutorial implemented functionality, and help decide if they suit your requirements.

Map a sequence of values to frequencies

Get all kandi verified functions for this library.

pyspark-tutorial Key Features

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pyspark-tutorial Examples and Code Snippets

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Community Discussions

Trending Discussions on pyspark-tutorial

How to get permission AWS ec2 server to allow to save files?

How to create conda environment with yml file without this error?

QUESTION

How to get permission AWS ec2 server to allow to save files?

Asked 2019-Aug-13 at 10:11

I am running an Amazon Web Service ec2 Amazon Linux AMI as these tutorials explain it:

https://www.guru99.com/jupyter-notebook-tutorial.html#5 - server configuration
https://www.guru99.com/pyspark-tutorial.html - actual project I am doing
I have gotten an error when I have tried to get the csv file from the URL and open it as in the project.
So I have copied the file up to the aws ec2 main folder from my local machine.
Than I have tried to copy the file from the main servr directory to the jupiter notebook's folder
it have given me permission an error:

...

ANSWER

Answered 2019-Aug-12 at 22:18

Do a sudo su - After you login on the the ec2 server , run below command

sudo su -

This will give you root permissions

Source https://stackoverflow.com/questions/57466984

QUESTION

How to create conda environment with yml file without this error?

Asked 2019-Aug-10 at 11:46

I am following the here tutorial to do PySpark on AWS.

My Os: macOS High Sierra 10.12.6

Up until now everything worked as in the tutorial.

I have successfully created the the "hello-spark.yml" file and opened it in sublime text and the edited parts are right there as well.

I get the error message when I run the following code: conda env create -f hello-spark.yml

...

ANSWER

Answered 2019-Aug-10 at 11:46

The original post creates the .yml file as follows:

Source https://stackoverflow.com/questions/57381678

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

Vulnerabilities

No vulnerabilities reported

Install pyspark-tutorial

You can download it from GitHub.

Support

[View Mahmoud Parsian’s profile on LinkedIn](http://www.linkedin.com/in/mahmoudparsian). Please send me an email: mahmoud.parsian@yahoo.com. ```` best regards, Mahmoud Parsian ````. [//]: # (metadata:) [//]: # (Spark, PySpark, Python) [//]: # (MapReduce, Distributed Algorithms, mappers, reducers, partitioners) [//]: # (Transformations, Actions, RDDs, DataFrames, SQL).

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