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Access IBM Cloud Object Storage data with pure R script and standard SQL on any machine where R and Java can be installed. You can use the CData JDBC Driver for IBM Cloud Object Storage and the RJDBC package to work with remote IBM Cloud Object Storage 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 IBM Cloud Object Storage and visualize IBM Cloud Object Storage data by calling standard R functions.
You can match the driver's performance gains from multi-threading and managed code by running the multithreaded Microsoft R Open or by running open R linked with the BLAS/LAPACK libraries. This article uses Microsoft R Open 3.2.3, which is preconfigured to install packages from the Jan. 1, 2016 snapshot of the CRAN repository. This snapshot ensures reproducibility.
To use the driver, download the RJDBC package. After installing the RJDBC package, the following line loads the package:
library(RJDBC)
You will need the following information to connect to IBM Cloud Object Storage as a JDBC data source:
The DBI functions, such as dbConnect and dbSendQuery, provide a unified interface for writing data access code in R. Use the following line to initialize a DBI driver that can make JDBC requests to the CData JDBC Driver for IBM Cloud Object Storage:
driver <- JDBC(driverClass = "cdata.jdbc.ibmcloudobjectstorage.IBMCloudObjectStorageDriver", classPath = "MyInstallationDir\lib\cdata.jdbc.ibmcloudobjectstorage.jar", identifier.quote = "'")
You can now use DBI functions to connect to IBM Cloud Object Storage and execute SQL queries. Initialize the JDBC connection with the dbConnect function.
If you do not already have Cloud Object Storage in your IBM Cloud account, follow the procedure below to install an instance of SQL Query in your account:
There are certain connection properties you need to set before you can connect. You can obtain these as follows:
To connect with IBM Cloud Object Storage, you need an API Key. You can obtain this as follows:
If you have multiple accounts, specify the CloudObjectStorageCRN explicitly. To find the appropriate value, you can:
You can now set the following to connect to data:
When you connect, the connector completes the OAuth process.
For assistance in constructing the JDBC URL, use the connection string designer built into the IBM Cloud Object Storage JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.ibmcloudobjectstorage.jar
Fill in the connection properties and copy the connection string to the clipboard.
👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)Below is a sample dbConnect call, including a typical JDBC connection string:
conn <- dbConnect(driver,"jdbc:ibmcloudobjectstorage:ApiKey=myApiKey;CloudObjectStorageCRN=MyInstanceCRN;Region=myRegion;OAuthClientId=MyOAuthClientId;OAuthClientSecret=myOAuthClientSecret;")
The driver models IBM Cloud Object Storage APIs as relational tables, views, and stored procedures. Use the following line to retrieve the list of tables:
dbListTables(conn)
You can use the dbGetQuery function to execute any SQL query supported by the IBM Cloud Object Storage API:
objects <- dbGetQuery(conn,"SELECT Key, Etag FROM Objects WHERE Bucket = 'someBucket'")
You can view the results in a data viewer window with the following command:
View(objects)
You can now analyze IBM Cloud Object Storage 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(objects$Etag, main="IBM Cloud Object Storage Objects", names.arg = objects$Key, horiz=TRUE)👁 A basic bar plot. (Salesforce is shown.)
Download a free trial of the IBM Cloud Object Storage Driver to get started:
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