Connect to Elasticsearch Data from a Connection Pool in Jetty



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

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

About Elasticsearch Data Integration

Accessing and integrating live data from Elasticsearch has never been easier with CData. Customers rely on CData connectivity to:

  • Access both the SQL endpoints and REST endpoints, optimizing connectivity and offering more options when it comes to reading and writing Elasticsearch data.
  • Connect to virtually every Elasticsearch instance starting with v2.2 and Open Source Elasticsearch subscriptions.
  • Always receive a relevance score for the query results without explicitly requiring the SCORE() function, simplifying access from 3rd party tools and easily seeing how the query results rank in text relevance.
  • Search through multiple indices, relying on Elasticsearch to manage and process the query and results instead of the client machine.

Users frequently integrate Elasticsearch data with analytics tools such as Crystal Reports, Power BI, and Excel, and leverage our tools to enable a single, federated access layer to all of their data sources, including Elasticsearch.

For more information on CData's Elasticsearch solutions, check out our Knowledge Base article: CData Elasticsearch Driver Features & Differentiators.


Getting Started


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 Elasticsearch data source at the level of the Web app, in WEB-INF\jetty-env.xml.

    <Configure id='elasticsearchdemo' class="org.eclipse.jetty.webapp.WebAppContext"> <New id="elasticsearchdemo" class="org.eclipse.jetty.plus.jndi.Resource"> <Arg><Ref refid="elasticsearchdemo"/></Arg> <Arg>jdbc/elasticsearchdb</Arg> <Arg> <New class="cdata.jdbc.elasticsearch.ElasticsearchDriver"> <Set name="url">jdbc:elasticsearch:</Set> <Set name="Server">127.0.0.1</Set> <Set name="Port">9200</Set> <Set name="User">admin</Set> <Set name="Password">123456</Set> </New> </Arg> </New> </Configure>

    Set the Server and Port connection properties to connect. To authenticate, set the User and Password properties, PKI (public key infrastructure) properties, or both. To use PKI, set the SSLClientCert, SSLClientCertType, SSLClientCertSubject, and SSLClientCertPassword properties.

    The data provider uses X-Pack Security for TLS/SSL and authentication. To connect over TLS/SSL, prefix the Server value with 'https://'. Note: TLS/SSL and client authentication must be enabled on X-Pack to use PKI.

    Once the data provider is connected, X-Pack will then perform user authentication and grant role permissions based on the realms you have configured.

  4. Configure the resource in the Web.xml:

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

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.

Ready to get started?

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