Work with PowerShell Scripts in Apache Spark Using SQL

Access and process PowerShell Scripts in Apache Spark using the CData JDBC Driver.

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

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

Install the CData JDBC Driver for PowerShell

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

Start a Spark Shell and Connect to PowerShell Scripts

  1. Open a terminal and start the Spark shell with the CData JDBC Driver for PowerShell JAR file as the jars parameter: $ spark-shell --jars /CData/CData JDBC Driver for PowerShell/lib/cdata.jdbc.powershell.jar
  2. With the shell running, you can connect to PowerShell with a JDBC URL and use the SQL Context load() function to read a table.

    The ScriptLocation, under the Data section, must be set to a valid script location.

    Built-in Connection String Designer

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

    java -jar cdata.jdbc.powershell.jar

    Fill in the connection properties and copy the connection string to the clipboard.

    scala> val powershell_df = spark.sqlContext.read.format("jdbc").option("url", "jdbc:powershell:ScriptLocation='%Public%\Documents\CData PowerShell Scripts';ExecuteQuery=True;").option("dbtable","Process").option("driver","cdata.jdbc.powershell.PowerShellDriver").load()
  3. Once you connect and the data is loaded you will see the table schema displayed.
  4. Register the PowerShell scripts as a temporary table:

    scala> powershell_df.registerTable("process")
  5. Perform custom SQL queries against the Scripts using commands like the one below:

    scala> powershell_df.sqlContext.sql("SELECT ProcessName, CPU FROM Process WHERE ProcessName = RemoteConnectorService").collect.foreach(println)

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

Using the CData JDBC Driver for PowerShell in Apache Spark, you are able to perform fast and complex analytics on PowerShell scripts, combining the power and utility of Spark with your data. Download a free, 30 day trial of any of the 170+ CData JDBC Drivers and get started today.