How to work with Opsgenie Data in Apache Spark using SQL

Apache Spark is a fast and general engine for large-scale data processing. When paired with the CData JDBC Driver for Opsgenie, Spark can work with live Opsgenie data. This article describes how to connect to and query Opsgenie data from a Spark shell.

The CData JDBC Driver offers unmatched performance for interacting with live Opsgenie data due to optimized data processing built into the driver. When you issue complex SQL queries to Opsgenie, the driver pushes supported SQL operations, like filters and aggregations, directly to Opsgenie and utilizes the embedded SQL engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can work with and analyze Opsgenie data using native data types.

Install the CData JDBC Driver for Opsgenie

Download the CData JDBC Driver for Opsgenie installer, unzip the package, and run the JAR file to install the driver.

Start a Spark Shell and Connect to Opsgenie Data

1. Open a terminal and start the Spark shell with the CData JDBC Driver for Opsgenie JAR file as the jars parameter:

   $ spark-shell --jars /CData/CData JDBC Driver for Opsgenie/lib/cdata.jdbc.api.jar
   

2. With the shell running, you can connect to Opsgenie with a JDBC URL and use the SQL Context load() function to read a table.

   Start by setting the Profile connection property to the location of the Opsgenie Profile on disk (e.g. C:\profiles\Opsgenie.apip). Next, set the ProfileSettings connection property to the connection string for Opsgenie (see below).

   Opsgenie API Profile Settings

   Navigate to your Opsgenie account Settings > App Settings > API Key Management to create a new API key.

   Built-in Connection String Designer

   For assistance in constructing the JDBC URL, use the connection string designer built into the Opsgenie 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.

   

   Configure the connection to Opsgenie, using the connection string generated above.

   scala> val api_df = spark.sqlContext.read.format("jdbc").option("url", "jdbc:api:Profile=C:\profiles\Opsgenie.apip;ProfileSettings='APIKey=your_api_key';").option("dbtable","ActionChannels").option("driver","cdata.jdbc.api.APIDriver").load()
   

3. Once you connect and the data is loaded you will see the table schema displayed.

4. Register the Opsgenie data as a temporary table:

   scala> api_df.registerTable("actionchannels")

5. Perform custom SQL queries against the Data using commands like the one below:

   scala> api_df.sqlContext.sql("SELECT Id, Name FROM ActionChannels WHERE TeamId = your_team_id").collect.foreach(println)

   You will see the results displayed in the console, similar to the following:

   

Using the CData JDBC Driver for Opsgenie in Apache Spark, you are able to perform fast and complex analytics on Opsgenie data, combining the power and utility of Spark with your data. Download a free, 30 day trial of any of the hundreds of CData JDBC Drivers and get started today.