rhdfs | A package that allows R developers to use Hadoop HDFS

 by   RevolutionAnalytics R Version: Current License: No License

kandi X-RAY | rhdfs Summary

kandi X-RAY | rhdfs Summary

rhdfs is a R library typically used in Big Data, Spark, Hadoop applications. rhdfs has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

A package that allows R developers to use Hadoop HDFS, developed as part of the RHadoop project. Please see the [RHadoop wiki] for information.
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              rhdfs has a low active ecosystem.
              It has 65 star(s) with 74 fork(s). There are 34 watchers for this library.
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              It had no major release in the last 6 months.
              There are 13 open issues and 4 have been closed. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of rhdfs is current.

            kandi-Quality Quality

              rhdfs has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              rhdfs does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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

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            rhdfs Key Features

            No Key Features are available at this moment for rhdfs.

            rhdfs Examples and Code Snippets

            No Code Snippets are available at this moment for rhdfs.

            Community Discussions

            QUESTION

            Writing on HDFS an R data.frame
            Asked 2019-Jun-29 at 12:39

            Back ground

            I managed to read a file with command:

            ...

            ANSWER

            Answered 2017-Dec-18 at 14:22

            Why it doesn't work

            I'm assuming that fwrite() is from data.table. If so, it wants to open up a distinct file handle and isn't taking the directive that instead of a file it should push data into the pipe that you specify. You kind of lucked out with base::file() in that it specifically looks for and handles the pipe case (as it notes in the docs).

            If you really need to use data.table::fwrite()

            You could write an Rscript (or littler) that was totally silent other than data.table::fwrite() called without any args (which will print the output to stdout) and pipe the results of that script to your hdfs commands.

            If you're open to other approaches

            write.csv() and readr::write_csv() both accept connections and you can probably work something out with pipe(). It might be as simple as...

            Source https://stackoverflow.com/questions/47774321

            QUESTION

            How to acess to HDFS via R?
            Asked 2018-Dec-11 at 10:14

            So, I am trying to connect to a HDFS server via R remotely on a Windows machine.

            I use RStudio with the "rhdfs" package, however, and since I had to create the HADOOP_CMD environment variable, I downloaded the Hadoop to my machine in order to give the environment variables, and change the core-site.xml.

            Previously I tried, sucessfully a connection the Kerberized Hive server with a Keytab.

            Here is my code:

            ...

            ANSWER

            Answered 2018-Dec-11 at 10:14

            i figured out a solution to this.

            If the server has the Kerberos authentication method, a keytab authentication can be useful to access the server. See How to connect with HIVE via R with Kerberos keytab?.

            After that, it is need to Download to your machine, in this case, a Windows machine, the same version of Hadoop present in the cluster and place the Hadoop a Windows directory.

            Then, to configure the Hadoop you need to follow these steps until the point "Hadoop Configuration". Step by step Hadoop 2.8.0 installation on Window 10

            The Hadoop in the cluster contain some configuration files that will be used in your local machine. The files are the core-site.xml, yarn-site.xml, hdfs-site.xml. They contain the information about the cluster, such as the default FS, what type of credentials used in the Cluster, the Hostname and the Port used.

            Additional: To use the Hostnames when connecting to Datanodes, you need to add these lines in the hdfs-site.xml file.

            Source https://stackoverflow.com/questions/53648755

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

            Vulnerabilities

            No vulnerabilities reported

            Install rhdfs

            You can download it from GitHub.

            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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          • HTTPS

            https://github.com/RevolutionAnalytics/rhdfs.git

          • CLI

            gh repo clone RevolutionAnalytics/rhdfs

          • sshUrl

            git@github.com:RevolutionAnalytics/rhdfs.git

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