spark-ec2 | Scripts used to setup a Spark cluster on EC2
kandi X-RAY | spark-ec2 Summary
kandi X-RAY | spark-ec2 Summary
spark-ec2 is a Python library typically used in Big Data, Spark applications. spark-ec2 has no bugs, it has no vulnerabilities, it has a Permissive License and it has high support. However spark-ec2 build file is not available. You can download it from GitHub.
Scripts used to setup a Spark cluster on EC2
Scripts used to setup a Spark cluster on EC2
Support
Quality
Security
License
Reuse
Support
spark-ec2 has a highly active ecosystem.
It has 374 star(s) with 301 fork(s). There are 39 watchers for this library.
It had no major release in the last 6 months.
There are 45 open issues and 22 have been closed. On average issues are closed in 6 days. There are 16 open pull requests and 0 closed requests.
It has a negative sentiment in the developer community.
The latest version of spark-ec2 is current.
Quality
spark-ec2 has 0 bugs and 0 code smells.
Security
spark-ec2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
spark-ec2 code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
spark-ec2 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-ec2 releases are not available. You will need to build from source code and install.
spark-ec2 has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
It has 1787 lines of code, 30 functions and 14 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed spark-ec2 and discovered the below as its top functions. This is intended to give you an instant insight into spark-ec2 implemented functionality, and help decide if they suit your requirements.
- Main function
- Determine the DNS name of the instance
- Validate Spark version
- Search for existing instances in the given cluster
- Setup external libraries
Get all kandi verified functions for this library.
spark-ec2 Key Features
No Key Features are available at this moment for spark-ec2.
spark-ec2 Examples and Code Snippets
No Code Snippets are available at this moment for spark-ec2.
Community Discussions
Trending Discussions on spark-ec2
QUESTION
The environment variable AWS_ACCESS_KEY_ID must be set
Asked 2020-Jan-05 at 21:38
I am using Linux 18.04 and I want to lunch a spark cluster on EC2.
I used the export command to set environment variables
...ANSWER
Answered 2020-Jan-05 at 21:38Environment variables can be simply passed after sudo
in form ENV=VALUE and they'll be accepted by followed command. It's not known to me if there are restrictions to this usage, so my example problem can be solved with:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install spark-ec2
spark-ec2 allows you to launch, manage and shut down Apache Spark [1] clusters on Amazon EC2. It automatically sets up Apache Spark and HDFS on the cluster for you. This guide describes how to use spark-ec2 to launch clusters, how to run jobs on them, and how to shut them down. It assumes you've already signed up for an EC2 account on the Amazon Web Services site. spark-ec2 is designed to manage multiple named clusters. You can launch a new cluster (telling the script its size and giving it a name), shutdown an existing cluster, or log into a cluster. Each cluster is identified by placing its machines into EC2 security groups whose names are derived from the name of the cluster. For example, a cluster named test will contain a master node in a security group called test-master, and a number of slave nodes in a security group called test-slaves. The spark-ec2 script will create these security groups for you based on the cluster name you request. You can also use them to identify machines belonging to each cluster in the Amazon EC2 Console. [1] Apache, Apache Spark, and Spark are trademarks of the Apache Software Foundation.
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 .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page