spark-or | Spark Operations Research

by saagie Scala Version: Current License: Apache-2.0

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

kandi X-RAY | spark-or Summary

spark-or is a Scala library typically used in Big Data, Spark applications. spark-or has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Spark Operations Research

Support

Quality

Security

License

Reuse

Support

spark-or has a low active ecosystem.

It has 11 star(s) with 0 fork(s). There are 14 watchers for this library.

It had no major release in the last 6 months.

spark-or has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of spark-or is current.

Quality

spark-or has 0 bugs and 0 code smells.

Security

spark-or has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

spark-or code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

spark-or 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

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

Installation instructions, examples and code snippets are available.

It has 569 lines of code, 35 functions and 14 files.

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

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spark-or Key Features

No Key Features are available at this moment for spark-or.

spark-or Examples and Code Snippets

No Code Snippets are available at this moment for spark-or.

Community Discussions

Trending Discussions on spark-or

Pyspark AWS credentials

QUESTION

Pyspark AWS credentials

Asked 2019-Jan-08 at 21:57

I'm trying to run a PySpark script that works fine when I run it on my local machine. The issue is that I want to fetch the input files from S3.

No matter what I try though I can't seem to be able find where I set the ID and secret. I found some answers regarding specific files ex: Locally reading S3 files through Spark (or better: pyspark) but I want to set the credentials for the whole SparkContext as I reuse the sql context all over my code.

so the question is: How do I set the AWS Access key and secret to spark?

P.S I tried the $SPARK_HOME/conf/hdfs-site.xml and Environment variable options. both didn't work...

Thank you

...

ANSWER

Answered 2017-Oct-26 at 15:27

You can see a couple of suggestions here: http://www.infoobjects.com/2016/02/27/different-ways-of-setting-aws-credentials-in-spark/

I usually do the 3rd one (set hadoopConfig on the SparkContext), as I want the credentials to be parameters within my code. So that I can run it from any machine.

For example:

Source https://stackoverflow.com/questions/46958011

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

Vulnerabilities

No vulnerabilities reported

Install spark-or

You can download this repository and run sbt to get the jar package. You need Spark 1.6.1 correctly installed on your computer and then you can use the library in your project.