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Access Amazon Athena 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 Amazon Athena and the RJDBC package to work with remote Amazon Athena 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 Amazon Athena and visualize Amazon Athena data by calling standard R functions.
CData provides the easiest way to access and integrate live data from Amazon Athena. Customers use CData connectivity to:
Users frequently integrate Athena with analytics tools like Tableau, Power BI, and Excel for in-depth analytics from their preferred tools.
To learn more about unique Amazon Athena use cases with CData, check out our blog post: https://www.cdata.com/blog/amazon-athena-use-cases.
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 Amazon Athena 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 Amazon Athena:
driver <- JDBC(driverClass = "cdata.jdbc.amazonathena.AmazonAthenaDriver", classPath = "MyInstallationDir\lib\cdata.jdbc.amazonathena.jar", identifier.quote = "'")
You can now use DBI functions to connect to Amazon Athena and execute SQL queries. Initialize the JDBC connection with the dbConnect function.
To authorize Amazon Athena requests, provide the credentials for an administrator account or for an IAM user with custom permissions: Set to the access key Id. Set to the secret access key.
Note: Though you can connect as the AWS account administrator, it is recommended to use IAM user credentials to access AWS services.
To obtain the credentials for an IAM user, follow the steps below:
To obtain the credentials for your AWS root account, follow the steps below:
If you are using the CData Data Provider for Amazon Athena 2018 from an EC2 Instance and have an IAM Role assigned to the instance, you can use the IAM Role to authenticate. To do so, set to true and leave and empty. The CData Data Provider for Amazon Athena 2018 will automatically obtain your IAM Role credentials and authenticate with them.
In many situations it may be preferable to use an IAM role for authentication instead of the direct security credentials of an AWS root user. An AWS role may be used instead by specifying the . This will cause the CData Data Provider for Amazon Athena 2018 to attempt to retrieve credentials for the specified role. If you are connecting to AWS (instead of already being connected such as on an EC2 instance), you must additionally specify the and of an IAM user to assume the role for. Roles may not be used when specifying the and of an AWS root user.
For users and roles that require Multi-factor Authentication, specify the and connection properties. This will cause the CData Data Provider for Amazon Athena 2018 to submit the MFA credentials in a request to retrieve temporary authentication credentials. Note that the duration of the temporary credentials may be controlled via the (default 3600 seconds).
In addition to the and properties, specify , and . Set to the region where your Amazon Athena data is hosted. Set to a folder in S3 where you would like to store the results of queries.
If is not set in the connection, the data provider connects to the default database set in Amazon Athena.
For assistance in constructing the JDBC URL, use the connection string designer built into the Amazon Athena JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.amazonathena.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:amazonathena:AWSAccessKey='a123';AWSSecretKey='s123';AWSRegion='IRELAND';Database='sampledb';S3StagingDirectory='s3://bucket/staging/';")
The driver models Amazon Athena 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 Amazon Athena API:
customers <- dbGetQuery(conn,"SELECT Name, TotalDue FROM Customers")
You can view the results in a data viewer window with the following command:
View(customers)
You can now analyze Amazon Athena 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(customers$TotalDue, main="Amazon Athena Customers", names.arg = customers$Name, horiz=TRUE)👁 A basic bar plot. (Salesforce is shown.)
Download a free trial of the Amazon Athena Driver to get started:
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