Rstudio server on Azure Hdinsight R Packages not installing










0















I have provisioned an Azure HDInsight cluster type ML Services (R Server), operating system Linux, version ML Services 9.3 on Spark 2.2 with Java 8 HDI 3.6.



I am able to login to Rstudio on the head node via SSH access and I ran the script



from this tutorial - https://blogs.msdn.microsoft.com/azuredatalake/2017/06/26/run-h2o-ai-in-r-on-azure-hdinsight/



located here:



https://bostoncaqs.blob.core.windows.net/scriptaction/install-h2opackages.sh



to install H2o related packages unto the head and worker nodes.



When I run the library(sparklyr) and library(dplyr) it works fine, however Rstudio does not find the h2o package and when I try to install the h2o package it fails because RCurl is not installed. Then when I try to install RCurl I get the following error "Error : package 'bitops' required by 'RCurl' could not be found". When I install bitops it successfully installs but RCurl does not seem to be finding the bitops package within the default install directory temp folder on the HDInsight head node VM's harddrive.



My question is, how do I get the Rstudio Server to recognize where packages are installed on my HDInsight head node? I am using the default install directory when installing each package but the subsequent packages do not recognize dependent packages are installed.



Thanks!










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    0















    I have provisioned an Azure HDInsight cluster type ML Services (R Server), operating system Linux, version ML Services 9.3 on Spark 2.2 with Java 8 HDI 3.6.



    I am able to login to Rstudio on the head node via SSH access and I ran the script



    from this tutorial - https://blogs.msdn.microsoft.com/azuredatalake/2017/06/26/run-h2o-ai-in-r-on-azure-hdinsight/



    located here:



    https://bostoncaqs.blob.core.windows.net/scriptaction/install-h2opackages.sh



    to install H2o related packages unto the head and worker nodes.



    When I run the library(sparklyr) and library(dplyr) it works fine, however Rstudio does not find the h2o package and when I try to install the h2o package it fails because RCurl is not installed. Then when I try to install RCurl I get the following error "Error : package 'bitops' required by 'RCurl' could not be found". When I install bitops it successfully installs but RCurl does not seem to be finding the bitops package within the default install directory temp folder on the HDInsight head node VM's harddrive.



    My question is, how do I get the Rstudio Server to recognize where packages are installed on my HDInsight head node? I am using the default install directory when installing each package but the subsequent packages do not recognize dependent packages are installed.



    Thanks!










    share|improve this question
























      0












      0








      0








      I have provisioned an Azure HDInsight cluster type ML Services (R Server), operating system Linux, version ML Services 9.3 on Spark 2.2 with Java 8 HDI 3.6.



      I am able to login to Rstudio on the head node via SSH access and I ran the script



      from this tutorial - https://blogs.msdn.microsoft.com/azuredatalake/2017/06/26/run-h2o-ai-in-r-on-azure-hdinsight/



      located here:



      https://bostoncaqs.blob.core.windows.net/scriptaction/install-h2opackages.sh



      to install H2o related packages unto the head and worker nodes.



      When I run the library(sparklyr) and library(dplyr) it works fine, however Rstudio does not find the h2o package and when I try to install the h2o package it fails because RCurl is not installed. Then when I try to install RCurl I get the following error "Error : package 'bitops' required by 'RCurl' could not be found". When I install bitops it successfully installs but RCurl does not seem to be finding the bitops package within the default install directory temp folder on the HDInsight head node VM's harddrive.



      My question is, how do I get the Rstudio Server to recognize where packages are installed on my HDInsight head node? I am using the default install directory when installing each package but the subsequent packages do not recognize dependent packages are installed.



      Thanks!










      share|improve this question














      I have provisioned an Azure HDInsight cluster type ML Services (R Server), operating system Linux, version ML Services 9.3 on Spark 2.2 with Java 8 HDI 3.6.



      I am able to login to Rstudio on the head node via SSH access and I ran the script



      from this tutorial - https://blogs.msdn.microsoft.com/azuredatalake/2017/06/26/run-h2o-ai-in-r-on-azure-hdinsight/



      located here:



      https://bostoncaqs.blob.core.windows.net/scriptaction/install-h2opackages.sh



      to install H2o related packages unto the head and worker nodes.



      When I run the library(sparklyr) and library(dplyr) it works fine, however Rstudio does not find the h2o package and when I try to install the h2o package it fails because RCurl is not installed. Then when I try to install RCurl I get the following error "Error : package 'bitops' required by 'RCurl' could not be found". When I install bitops it successfully installs but RCurl does not seem to be finding the bitops package within the default install directory temp folder on the HDInsight head node VM's harddrive.



      My question is, how do I get the Rstudio Server to recognize where packages are installed on my HDInsight head node? I am using the default install directory when installing each package but the subsequent packages do not recognize dependent packages are installed.



      Thanks!







      azure rstudio h2o sparklyr rstudio-server






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      asked Nov 12 '18 at 18:07









      Kreitz GigsKreitz Gigs

      567




      567






















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          I did not realize that I was not installing the packages under the Edge node, when I installed the packages on all of the nodes I had no problems with the packages.






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            1 Answer
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            active

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            active

            oldest

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            0














            I did not realize that I was not installing the packages under the Edge node, when I installed the packages on all of the nodes I had no problems with the packages.






            share|improve this answer



























              0














              I did not realize that I was not installing the packages under the Edge node, when I installed the packages on all of the nodes I had no problems with the packages.






              share|improve this answer

























                0












                0








                0







                I did not realize that I was not installing the packages under the Edge node, when I installed the packages on all of the nodes I had no problems with the packages.






                share|improve this answer













                I did not realize that I was not installing the packages under the Edge node, when I installed the packages on all of the nodes I had no problems with the packages.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 13 '18 at 6:24









                Kreitz GigsKreitz Gigs

                567




                567



























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