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This article shows how to connect to Elasticsearch from Jaspersoft Studio as a standard JDBC data source with the CData JDBC Driver for Elasticsearch. You will use the standard Jaspersoft wizards to build SQL queries to Elasticsearch. The queries are executed directly to the Elasticsearch APIs, enabling real-time connectivity to Elasticsearch data.
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.
To create a JDBC data source in Jaspersoft Studio, create a data adapter:
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.
π 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.
Below is a typical JDBC URL for Elasticsearch:
jdbc:elasticsearch:Server=127.0.0.1;Port=9200;User=admin;Password=123456;π A data adapter configured to use the JDBC Driver. (Salesforce is shown.)
Follow the steps below to build an SQL query to Elasticsearch, the basis of a simple report:
SELECT Orders.Freight, Customers.ContactName FROM Customers INNER JOIN Orders ON Customers.CustomerId=Orders.CustomerIdπ The SQL query to be used to pull data into the report. (Salesforce is shown.)
In the Preview tab, you can see the report as it would look with the current Elasticsearch data.
π A JasperReport template populated with live data. (Salesforce is shown.)The following sections show how to create a chart tied to its own SQL query. When retrieving the data from the remote data source, more restrictive queries, written for specific report objects, can result in faster performance.
Follow the steps below to create a new dataset to populate the chart:
SELECT Orders.Freight, Customers.ContactName FROM Customers INNER JOIN Orders ON Customers.CustomerId=Orders.CustomerIdπ The SQL query to be used to fill the chart. (Salesforce is shown.)
After adding the dataset, follow the steps below to map column values to the chart axes in the chart wizard:
Specify the y-axis values: In the chart wizard, click the button next to the Value box. In the Expression Editor, double-click Freight to set the expression to $F{Freight}.
$F{OrderName}.toString()
π Columns selected for the axes of the chart.You can now generate reports on Elasticsearch data just as you would any other JDBC data source. Jaspersoft Studio periodically refreshes the data across report runs.
π The finished report's last page, displaying the chart. (Salesforce is shown.)Download a free trial of the Elasticsearch Driver to get started:
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