How to work with Mocean 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 Mocean, Spark can work with live Mocean data. This article describes how to connect to and query Mocean data from a Spark shell.

The CData JDBC Driver offers unmatched performance for interacting with live Mocean data due to optimized data processing built into the driver. When you issue complex SQL queries to Mocean, the driver pushes supported SQL operations, like filters and aggregations, directly to Mocean 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 Mocean data using native data types.

Install the CData JDBC Driver for Mocean

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

Start a Spark Shell and Connect to Mocean Data

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

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

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

   Using API Key Authentication

   Mocean uses API key authentication to control access to the API. To obtain an API Key:

   1. Log in to your Mocean account at https://dashboard.moceanapi.com
   2. Navigate to your account settings or API credentials section
   3. Copy your API Key

   After obtaining your API Key, set the following connection properties:

   • AuthScheme: Set this to APIKey.
   Set the following in the ProfileSettings connection property:
   • APIKey: Set this to your Mocean API Key. This is transmitted as a Bearer token in the Authorization header.

   Example Connection String

   Profile=C:\profiles\Mocean.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_api_key';
   

   Connecting to Mocean

   Once the authentication is configured, you can connect to Mocean and query data from any of the available tables such as AccountBalance, AccountPricing, MessageStatus, and NumberLookup.

   Built-in Connection String Designer

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

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

   scala> val api_df = spark.sqlContext.read.format("jdbc").option("url", "jdbc:api:Profile=C:\profiles\Mocean.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_api_key';").option("dbtable","AccountBalance").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 Mocean data as a temporary table:

   scala> api_df.registerTable("accountbalance")

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

   scala> api_df.sqlContext.sql("SELECT , FROM AccountBalance WHERE = ").collect.foreach(println)

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

   👁 Data in Apache Spark (Salesforce is shown)
   

Using the CData JDBC Driver for Mocean in Apache Spark, you are able to perform fast and complex analytics on Mocean 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.