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Get the Report →Analyze FTP Data in R
Create data visualizations and use high-performance statistical functions to analyze FTP data in Microsoft R Open.
Access FTP data with pure R script and standard SQL. You can use the CData ODBC Driver for FTP and the RODBC package to work with remote FTP data in R. By using the CData Driver, you are leveraging a driver written for industry-proven standards to access your data in the popular, open-source R language. This article shows how to use the driver to execute SQL queries to FTP data and visualize FTP data in R.
Install R
You can complement the driver's performance gains from multi-threading and managed code by running the multithreaded Microsoft R Open or by running R linked with the BLAS/LAPACK libraries. This article uses Microsoft R Open (MRO).
Connect to FTP as an ODBC Data Source
Information for connecting to FTP follows, along with different instructions for configuring a DSN in Windows and Linux environments.
To connect to FTP or SFTP servers, specify at least RemoteHost and FileProtocol. Specify the port with RemotePort.
Set User and Password to perform Basic authentication. Set SSHAuthMode to use SSH authentication. See the Getting Started section of the data provider help documentation for more information on authenticating via SSH.
Set SSLMode and SSLServerCert to secure connections with SSL.
The data provider lists the tables based on the available folders in your FTP server. Set the following connection properties to control the relational view of the file system:
- RemotePath: Set this to the current working directory.
- TableDepth: Set this to control the depth of folders to list as views.
- FileRetrievalDepth: Set this to retrieve and list files recursively from the root table.
Stored Procedures are available to download files, upload files, and send protocol commands. See the Data Model chapter of the FTP data provider documentation for more information.
When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
Windows
If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.
Linux
If you are installing the CData ODBC Driver for FTP in a Linux environment, the driver installation predefines a system DSN. You can modify the DSN by editing the system data sources file (/etc/odbc.ini) and defining the required connection properties.
/etc/odbc.ini
[CData FTP Source]
Driver = CData ODBC Driver for FTP
Description = My Description
RemoteHost = MyFTPServer
For specific information on using these configuration files, please refer to the help documentation (installed and found online).
Load the RODBC Package
To use the driver, download the RODBC package. In RStudio, click Tools -> Install Packages and enter RODBC in the Packages box.
After installing the RODBC package, the following line loads the package:
library(RODBC)
Note: This article uses RODBC version 1.3-12. Using Microsoft R Open, you can test with the same version, using the checkpoint capabilities of Microsoft's MRAN repository. The checkpoint command enables you to install packages from a snapshot of the CRAN repository, hosted on the MRAN repository. The snapshot taken Jan. 1, 2016 contains version 1.3-12.
library(checkpoint)
checkpoint("2016-01-01")
Connect to FTP Data as an ODBC Data Source
You can connect to a DSN in R with the following line:
conn <- odbcConnect("CData FTP Source")
Schema Discovery
The driver models FTP APIs as relational tables, views, and stored procedures. Use the following line to retrieve the list of tables:
sqlTables(conn)
Execute SQL Queries
Use the sqlQuery function to execute any SQL query supported by the FTP API.
mydirectory <- sqlQuery(conn, "SELECT Filesize, Filename FROM MyDirectory", believeNRows=FALSE, rows_at_time=1)
You can view the results in a data viewer window with the following command:
View(mydirectory)
Plot FTP Data
You can now analyze FTP data with any of the data visualization packages available in the CRAN repository. You can create simple bar plots with the built-in bar plot function:
par(las=2,ps=10,mar=c(5,15,4,2))
barplot(mydirectory$Filename, main="FTP MyDirectory", names.arg = mydirectory$Filesize, horiz=TRUE)