在 Sagemaker Jupyter NoteBook 实例上安装 RODBC 或 ODBC 时出错 [英] Error installing RODBC or ODBC on a Sagemaker Jupyter NoteBook Instance

问题描述

我一直在尝试从 Sagemaker Jupyter Notebook 实例建立到 Teradata 的连接.我试图按照我通过 R Studio 的方式来做.但是当我尝试在实例中安装软件包时，我会收到非零退出状态错误.

I have been trying to establish a connection to Teradata from a Sagemaker Jupyter Notebook instance. I was trying to do it the way I would through R Studio. But when ever I try to install the package in the instance I get an non-zero exit status error.

我尝试过以下安装方式:

I have tried installing the following ways:

remotes::install_github() 

或

devtools::install_github()

还有:

install.packages('odbc', repo="https://cran.rstudio.com/")

我对 RODBC 进行了相同的尝试，但收到相同的警告或错误.

I tryed the same with RODBC, and I get the same warnings or errors.

关于如何解决这个问题的任何想法?

Any ideas on how I can get around this problem?

提前致谢.

更新:如果我运行这行代码:

UPDATE: If I run this line of code:

devtools::install_github("r-dbi/odbc")`

我收到以下错误(这只是摘录):

I get the following error (This is just an extract):

Error: Failed to install 'odbc' from GitHub:
  System command error, exit status: 1, stdout + stderr (last 10 lines):
E> ** testing if installed package can be loaded from temporary location
E> Error: package or namespace load failed for ‘odbc’ in dyn.load(file, DLLpath = DLLpath, ...):
E>  unable to load shared object '/tmp/RtmpBuMhbW/Rinst32846cdd20a9/00LOCK-odbc/00new/odbc/libs/odbc.so':
E>   libodbc.so.2: cannot open shared object file: No such file or directory
E> Error: loading failed
E> Execution halted
E> ERROR: loading failed
E> * removing ‘/tmp/RtmpBuMhbW/Rinst32846cdd20a9/odbc’
E>       -----------------------------------
E> ERROR: package installation failed
Traceback:

推荐答案

好吧，在阅读 AWS/Sagemaker/Conda/R 文档数小时后，我得出的结论是，我不知道如何解释这些现象.

Alright, after hours of reading AWS/Sagemaker/Conda/R documentation I arrived at the conclusion that, I don't know how to explain the phenomena.

尽管如此，我已经找到了解决方法！

Nonetheless, I have found a workaround!

所以我们知道如何通过 Jupyter 终端或直接从 .ipynb 文件中的单元安装软件包.尽管如此，如果您尝试在 R 内核中运行这些命令，就像在终端或 Python 内核中一样，您会遇到错误.

So we know how we can install packages through the Jupyter terminal or directly from a cell in the .ipynb file. Nonetheless, if you try to run those commands inside the R kernel just like you would on the terminal or in a Python kernel you would run into an error.

此外，对于某些在终端中安装它的人，甚至在 Python 内核上安装它可能只是让 conda 在不同的环境中安装包.是的，事实证明您的 Jupyter 实例上有几个环境.

Also, for some people installing it in the terminal, or even on a Python kernel might just make conda install the package on a different environment. Yes, turns out there are a couple of environments on your Jupyter instance.

所以，正如我所说，你将使用 conda install 命令，而不是 pip、sudo或 yum 命令.

So, to get to the point, just like I said, you would use a conda install command, not a pip, sudo or yum command.

让您的生活更轻松.这是您需要在 R 内核单元上运行的代码，如果 install.packages() 和 install_github()没有用:

Make your life easier. Here is the code that you would need to run on your R Kernel cell, to install a package directly to the correct environment if, install.packages() and install_github() didn't work:

system(command = 'conda install -c r packageName --yes')

示例:

system(command = 'conda install -c r tidyverse --yes')

就是这样.之后，您可以调用 library() 并继续您的 R 工作流程.

And that's it. After that you can call library() and resume your R workflow as you do.

希望这对大家有帮助！

这篇关于在 Sagemaker Jupyter NoteBook 实例上安装 RODBC 或 ODBC 时出错的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！