Connect to Spark Data from a Connection Pool in Jetty



The Spark JDBC Driver supports connection pooling: This article shows how to connect faster to Spark data from Web apps in Jetty.

The CData JDBC driver for Spark is easy to integrate with Java Web applications. This article shows how to efficiently connect to Spark data in Jetty by configuring the driver for connection pooling. You will configure a JNDI resource for Spark in Jetty.

Configure the JDBC Driver for Salesforce as a JNDI Data Source

Follow the steps below to connect to Salesforce from Jetty.

  1. Enable the JNDI module for your Jetty base. The following command enables JNDI from the command-line:

    java -jar ../start.jar --add-to-startd=jndi
  2. Add the CData and license file, located in the lib subfolder of the installation directory, into the lib subfolder of the context path.
  3. Declare the resource and its scope. Enter the required connection properties in the resource declaration. This example declares the Spark data source at the level of the Web app, in WEB-INF\jetty-env.xml.

    <Configure id='sparkdemo' class="org.eclipse.jetty.webapp.WebAppContext"> <New id="sparkdemo" class="org.eclipse.jetty.plus.jndi.Resource"> <Arg><Ref refid="sparkdemo"/></Arg> <Arg>jdbc/sparkdb</Arg> <Arg> <New class="cdata.jdbc.sparksql.SparkSQLDriver"> <Set name="url">jdbc:sparksql:</Set> <Set name="Server">127.0.0.1</Set> </New> </Arg> </New> </Configure>

    Set the Server, Database, User, and Password connection properties to connect to SparkSQL.

  4. Configure the resource in the Web.xml:

    jdbc/sparkdb javax.sql.DataSource Container
  5. You can then access Spark with a lookup to java:comp/env/jdbc/sparkdb: InitialContext ctx = new InitialContext(); DataSource myspark = (DataSource)ctx.lookup("java:comp/env/jdbc/sparkdb");

More Jetty Integration

The steps above show how to configure the driver in a simple connection pooling scenario. For more use cases and information, see the Working with Jetty JNDI chapter in the Jetty documentation.

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