rspark | Sparklines for Rust apps

by reugn Rust Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | rspark Summary

rspark is a Rust library. rspark has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Sparklines for Rust apps. Rust port of

Support

Quality

Security

License

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Support

rspark has a low active ecosystem.

It has 30 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

rspark has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of rspark is current.

Quality

rspark has no bugs reported.

Security

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

License

rspark is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

rspark releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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rspark Key Features

No Key Features are available at this moment for rspark.

rspark Examples and Code Snippets

No Code Snippets are available at this moment for rspark.

Community Discussions

Trending Discussions on rspark

Can't login into sparkR docker container

How to use specific Java version from a conda environment inside of Jupyter notebook

installation for spark 2.1.0 with Ambari 2.4.2.0

QUESTION

Can't login into sparkR docker container

Asked 2020-Apr-19 at 17:48

I downloaded thin sparkR and used the container before

https://hub.docker.com/r/jharner/rspark-rstudio

But now when I try to start the container again:

...

ANSWER

Answered 2020-Apr-19 at 17:48

Somehow, the application is already running but not by docker - not too sure what has happened without more context.

Try finding out what process is using the port:

Source https://stackoverflow.com/questions/61308048

QUESTION

How to use specific Java version from a conda environment inside of Jupyter notebook

Asked 2019-Nov-15 at 16:53

My overall aim is to use sparklyr within an R Jupyter notebook on my Azure cloud service of Jupyter lab. I created a new conda environment with R, sparklyr and Java 8 (since this is the version supported by sparklyr) as follows:

...

ANSWER

Answered 2019-Nov-15 at 16:53

@merv's comment put me on the right track:

Get the current JAVA_HOME-path with Sys.getenv("JAVA_HOME") in the R console in the terminal within the environment: "/path/to/your/java".

In the notebook with the corresponding environment kernel, use Sys.setenv(JAVA_HOME="/path/to/your/java") and go!

Source https://stackoverflow.com/questions/58877431

QUESTION

installation for spark 2.1.0 with Ambari 2.4.2.0

Asked 2017-Jul-26 at 03:28

I am relatively new on cluster installations for Spark along with Ambari. Recently, I got a task for installing Spark 2.1.0 on a cluster which pre-installed Ambari with Spark 1.6.2 with HDFS & YARN 2.7.3.

My task is to have Spark 2.1.0 installed since it is the newest version with better compacity with RSpark and more. I searched over the internet for couple days, only found some installation guide on either AWS or Spark 2.1.0 alone.

such as following: http://data-flair.training/blogs/install-deploy-run-spark-2-x-multi-node-cluster-step-by-step-guide/ and http://spark.apache.org/docs/latest/building-spark.html.

But none of them mentioning the interference of different versions of Spark. Since I need to keep this cluster running, I would like to know some potential threat for the cluster.

Is there some proper way to do this installation? Thanks a lot!

...

ANSWER

Answered 2017-Jul-26 at 03:28

If you want to have your SPARK2 installation managed by Ambari then SPARK2 must be provisioned by Ambari.

HDP 2.5.3 does NOT support Spark 2.1.0, it does however come with a technical preview of Spark 2.0.0.

Your options are:

Install Spark 2.1.0 manually and not have it managed by Ambari
Use Spark 2.0.0 instead of Spark 2.1.0 which is provided by HDP 2.5.3
Use a different stack. ie. IBM Open Platform (IOP) 4.3, slated to release in 2017, it will ship with Spark 2.1.0 support. You can get started using it today with the technical preview release.
Upgrade HDP (2.6) which supports Spark 2.1.
Extend the HDP 2.5 stack to support Spark 2.1.0. You can see how to customize and extend ambari stacks on the wiki. This would let you used Spark 2.1.0 and have it managed by ambari. However, this would be a lot of work to implement and being that you're new to Ambari it would be rather difficult.

Source https://stackoverflow.com/questions/42862562

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

Vulnerabilities

No vulnerabilities reported

Install rspark

You can download it from GitHub.
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.

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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