Analyze Hacker News Data in R via JDBC

Access Hacker News 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 Hacker News and the RJDBC package to work with remote Hacker News 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 Hacker News and visualize Hacker News data by calling standard R functions.

Install R

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.

Load the RJDBC Package

To use the driver, download the RJDBC package. After installing the RJDBC package, the following line loads the package:

library(RJDBC)

Connect to Hacker News as a JDBC Data Source

You will need the following information to connect to Hacker News as a JDBC data source:

• Driver Class: Set this to cdata.jdbc.api.APIDriver
• Classpath: Set this to the location of the driver JAR. By default this is the lib subfolder of the installation folder.

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 Hacker News:

driver <- JDBC(driverClass = "cdata.jdbc.api.APIDriver", classPath = "MyInstallationDir\lib\cdata.jdbc.api.jar", identifier.quote = "'") 

You can now use DBI functions to connect to Hacker News and execute SQL queries. Initialize the JDBC connection with the dbConnect function.

Connecting to HackerNews

The HackerNews API (powered by Firebase) is a public API that requires no authentication. You can connect and query data immediately without any credentials.

After setting the following connection properties, you are ready to connect:

• AuthScheme: Set this to None.

Example connection string:

Profile=C:\profiles\HackerNews.apip;AuthScheme=None

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Hacker News JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.api.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:api:Profile=C:\profiles\HackerNews.apip;AuthScheme=None")

Schema Discovery

The driver models Hacker News APIs as relational tables, views, and stored procedures. Use the following line to retrieve the list of tables:

dbListTables(conn)

Execute SQL Queries

You can use the dbGetQuery function to execute any SQL query supported by the Hacker News API:

topstories <- dbGetQuery(conn,"SELECT , FROM TopStories WHERE = ''")

You can view the results in a data viewer window with the following command:

View(topstories)

Plot Hacker News Data

You can now analyze Hacker News 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(topstories$, main="Hacker News TopStories", names.arg = topstories$, horiz=TRUE)

👁 A basic bar plot. (Salesforce is shown.)