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

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

Install the CData JDBC Driver for NASA

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

Start a Spark Shell and Connect to NASA Data

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

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

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

   Using API Key Authentication

   Most NASA API endpoints (APOD, NeoWS, DONKI, TechTransfer) require a NASA API key. Register for a free key at https://api.nasa.gov. The default DEMO_KEY provides limited access (30 requests/hour, 50 requests/day); a registered key allows 1,000 requests/hour.

   The following endpoints do not require an API key and work without authentication: EONET (Earth Observatory Natural Event Tracker), EPIC (Earth Polychromatic Imaging Camera), NASA Image and Video Library, and TechPort.

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

   • AuthScheme: Set this to APIKey.
   • APIKey: Set this to your NASA API key. Use DEMO_KEY for limited testing.

   Example Connection String

   Profile=C:\profiles\NASA.apip;AuthScheme=APIKey;APIKey=YOUR_NASA_API_KEY
   

   Connecting to NASA

   Once the authentication is configured, you can connect to NASA and query data from any of the available tables such as AstronomyPictureOfDay, NearEarthObjectFeed, EonetEvents, and NasaImageLibrary.

   Built-in Connection String Designer

   For assistance in constructing the JDBC URL, use the connection string designer built into the NASA 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 NASA, using the connection string generated above.

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

   scala> api_df.registerTable("astronomypictureofday")

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

   scala> api_df.sqlContext.sql("SELECT , FROM AstronomyPictureOfDay WHERE StartDate = 2024-01-01").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 NASA in Apache Spark, you are able to perform fast and complex analytics on NASA 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.