SparkR-pkg | R frontend for Spark

by amplab-extras R Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | SparkR-pkg Summary

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

R frontend for Spark

Support

Quality

Security

License

Reuse

Support

SparkR-pkg has a low active ecosystem.

It has 643 star(s) with 336 fork(s). There are 151 watchers for this library.

It had no major release in the last 6 months.

SparkR-pkg has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of SparkR-pkg is current.

Quality

SparkR-pkg has no bugs reported.

Security

SparkR-pkg has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

SparkR-pkg 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

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

Installation instructions, examples and code snippets are available.

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SparkR-pkg Key Features

No Key Features are available at this moment for SparkR-pkg.

SparkR-pkg Examples and Code Snippets

No Code Snippets are available at this moment for SparkR-pkg.

Community Discussions

Trending Discussions on SparkR-pkg

How to use a sub module of spark (say spark_core) in the project?

foreach function in sparkr

QUESTION

How to use a sub module of spark (say spark_core) in the project?

Asked 2019-May-16 at 12:36

I know i can add the jar in my project and i can use it, but that's something i don't want to do. I need to use the source code of core Module which we have in the spark_parent_2.12 on github.

I am able to extract the core project from the spark and add it into my project as dependency here is my pom.xml.

project's pom.xml

...

ANSWER

Answered 2019-May-16 at 12:36

You should add spark-tags dependency :

Source https://stackoverflow.com/questions/56168297

QUESTION

foreach function in sparkr

Asked 2018-Nov-27 at 16:11

I am relatively new on SparkR, and I am planning to transfer a for loop into a foreach loop in SparkR (R/3.3.3 & Spark/2.2.0).

I have searched on stackoverflow, the only relevant thread is: SparkR foreach loop

But it gives only the workaround by using other operations.

From what I see, there is a sparkr package exist (https://amplab-extras.github.io/SparkR-pkg/rdocs/1.2/index.html) and contains foreach function, but I really do not understand its use cases, which I will need some help/example from the community to help.

My example in original R code is following:

...

ANSWER

Answered 2018-Nov-27 at 16:11

As the comments said, in SparkR, we generally do not want to use foreach. In this particular case, I found the answer using sparkdataframe operatiors and solved this problem:

Source https://stackoverflow.com/questions/53325186

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

Vulnerabilities

No vulnerabilities reported

Install SparkR-pkg

To develop SparkR, you can build the scala package and the R package using. If you wish to try out the package directly from github, you can use install_github from devtools. Note that you can specify which branch, tag etc to install from. SparkR by default uses Apache Spark 1.1.0. You can switch to a different Spark version by setting the environment variable SPARK_VERSION. For example, to use Apache Spark 1.3.0, you can run. SparkR by default links to Hadoop 1.0.4. To use SparkR with other Hadoop versions, you will need to rebuild SparkR with the same version that Spark is linked to. For example to use SparkR with a CDH 4.2.0 MR1 cluster, you can run. By default, SparkR uses sbt to build an assembly jar. If you wish to use maven instead, you can set the environment variable USE_MAVEN=1. For example. If you are building SparkR from behind a proxy, you can setup maven to use the right proxy server.
Start R
Run install_github

Support

For better tracking and collaboration, issues and TODO items are reported to the Apache Spark JIRA under the component tag "SparkR". In your pull request, please cross reference the ticket item created and append "[SPARKR]" (e.g.: "[SPARK-1234] [SPARKR] Pull request").

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