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This article shows how to use the CData JDBC Driver for Elasticsearch to connect to Elasticsearch from SAP BusinessObjects Business Intelligence applications. You will use the Information Design Tool to analyze Elasticsearch data and create a universe on the CData JDBC Driver for Elasticsearch. You will then connect to the universe from Web Intelligence.
Accessing and integrating live data from Elasticsearch has never been easier with CData. Customers rely on CData connectivity to:
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.
Follow the steps below to create a connection to the Elasticsearch JDBC data source in the Information Design Tool.
On the next page, set the Authentication Mode option to "Use specified username and password". Enter the username, password, and JDBC URL. The JDBC URL begins with jdbc:elasticsearch: and is followed by a semicolon-separated list of connection properties.
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.
For assistance in constructing the JDBC URL, use the connection string designer built into the Elasticsearch JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.elasticsearch.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.)When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
A typical JDBC URL is below:
jdbc:elasticsearch:Server=127.0.0.1;Port=9200;User=admin;Password=123456;
You can use the JDBC connection to analyze Elasticsearch data in the Information Design Tool.
To publish the universe to the CMS, you additionally need to publish the connection.
You can follow the steps below to create a universe on the JDBC driver. The universe in this example will be published to a repository, so it uses the published connection created in the previous step.
You can follow the steps below to publish the universe to the CMS.
You can use the published universe to connect to Elasticsearch in Web Intelligence.
Download a free trial of the Elasticsearch Driver to get started:
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