sparksteps | : star : CLI tool to launch Spark jobs on AWS EMR | AWS library

by jwplayer Python Version: 3.0.1 License: Apache-2.0

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

kandi X-RAY | sparksteps Summary

sparksteps is a Python library typically used in Cloud, AWS, Spark applications. sparksteps has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install sparksteps' or download it from GitHub, PyPI.

:star: CLI tool to launch Spark jobs on AWS EMR

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Quality

Security

License

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Support

sparksteps has a low active ecosystem.

It has 68 star(s) with 11 fork(s). There are 25 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 4 have been closed. On average issues are closed in 150 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of sparksteps is 3.0.1

Quality

sparksteps has 0 bugs and 0 code smells.

Security

sparksteps has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

sparksteps code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

sparksteps 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

sparksteps releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

It has 616 lines of code, 44 functions and 11 files.

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

Top functions reviewed by kandi - BETA

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

Directory name
Get the basename of a path
Create argument parser
Determine price prices for this instance
Parse CLI arguments
Wait for a single step to complete

Get all kandi verified functions for this library.

sparksteps Key Features

No Key Features are available at this moment for sparksteps.

sparksteps Examples and Code Snippets

No Code Snippets are available at this moment for sparksteps.

Community Discussions

Trending Discussions on sparksteps

Creating new SparkContext for each SparkStep in MRJob/ pySpark

QUESTION

Creating new SparkContext for each SparkStep in MRJob/ pySpark

Asked 2018-Apr-10 at 07:25

I am new to pySpark and I'm trying to implement a multi-step EMR/Spark job using MRJob, do I need to create a new SparkContext for each SparkStep, or can I share the same SparkContext for all SparkSteps?

I tried to look up the MRJob manual but unfortunately it was not clear on this.

Can someone please advise what's the correct approach?

Creating a separate SparkContext:
...

ANSWER

Answered 2018-Apr-10 at 07:25

According to Dave at MRJob discussion group, we should create a new SparkContext for each step, as each step is a completely new invocation of Hadoop and Spark (ie. #1 above is the correct approach).

Source https://stackoverflow.com/questions/49659971

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

Vulnerabilities

No vulnerabilities reported

Install sparksteps

You can install using 'pip install sparksteps' or download it from GitHub, PyPI.
You can use sparksteps 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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