Access Live MarkLogic Data in Spring Boot

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Connect to MarkLogic in a Spring Boot Application using CData JDBC MarkLogic Driver

Spring Boot is a framework that makes engineering Java web applications easier. It offers the ability to create standalone applications with minimal configuration. When paired with the CData JDBC driver for MarkLogic, Spring Boot can work with live MarkLogic data. This article shows how to configure data sources and retrieve data in your Java Spring Boot Application, using the CData JDBC Driver for MarkLogic.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live MarkLogic data. When you issue complex SQL queries to MarkLogic, the driver pushes supported SQL operations, like filters and aggregations, directly to MarkLogic and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze MarkLogic data using native data types.

Creating the Spring Boot Project in Java

In an IDE (in this tutorial, we use IntelliJ), choose a Maven project: In the generated project, go to the pom.xml file, and add the required dependencies for Spring Boot:


<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.7.2</version>
<relativePath/>
</parent>
<groupId>com.example</groupId>
<artifactId>demo</artifactId>
<version>0.0.1-SNAPSHOT</version>
<name>demo</name>
<description>Demo project for Spring Boot</description>
<properties>
<java.version>1.8</java.version>
</properties>
<build>
<plugins>
	<plugin>
		<groupId>org.springframework.boot</groupId>
		<artifactId>spring-boot-maven-plugin</artifactId>
	</plugin>

	<plugin>
		<groupId>org.apache.maven.plugins</groupId>
		<artifactId>maven-install-plugin</artifactId>
		<version>2.5.1</version>
		<executions>
			<execution>
				<id>id.install-file</id>
				<phase>clean</phase>
				<goals>
					<goal>install-file</goal>
				</goals>
				<configuration>
					<file>C:\Program Files\CData\CData JDBC Driver for MarkLogic ####\lib\cdata.jdbc.marklogic.jar</file>
					<groupId>org.cdata.connectors</groupId>
					<artifactId>cdata-marklogic-connector</artifactId>
					<version>21</version>
					<packaging>jar</packaging>
				</configuration>
			</execution>
		</executions>
	</plugin>
</plugins>
</build>

<dependencies>
<dependency>
	<groupId>org.springframework.boot</groupId>
	<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
	<groupId>org.springframework.boot</groupId>
	<artifactId>spring-boot-starter-jdbc</artifactId>
	<version>2.7.0</version>
</dependency>
<dependency>
	<groupId>org.cdata.connectors</groupId>
	<artifactId>cdata-marklogic-connector</artifactId>
	<version>21</version>
</dependency>

<dependency>
	<groupId>org.springframework.boot</groupId>
	<artifactId>spring-boot-starter-test</artifactId>
	<scope>test</scope>
</dependency>
</dependencies>



<distributionManagement>
<repository>
	<uniqueVersion>false</uniqueVersion>
	<id>test</id>
	<name>My Repository</name>
	<url>scp://repo/maven2</url>
	<layout>default</layout>
</repository>
</distributionManagement>

</project>

Project Structure

In the java directory, create a new package. Usually the name of the package is the name of the groupId (com.example) followed by the artifactId (.MDS).

Make sure that the "java" directory is the sources root; this is indicated with a blue color. You may need to right click the java directory and select Mark Directory -> Sources Root. Also, the resources directory should be marked as Resources Root.

Database Connection Properties

In the application.properties file, we set the configuration properties for the MarkLogic JDBC Driver, using the Class name and JDBC URL:


	spring.datasource.driver=cdata.jdbc.marklogic.MarkLogicDriver
	spring.datasource.url=jdbc:marklogic:User='myusername';Password='mypassword';Server='http://marklogic';

Built-in Connection String Designer

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


java -jar cdata.jdbc.marklogic.jar

Set User, Password, and Server to the credentials for the MarkLogic account and the address of the server you want to connect to. You should also specify the REST API Port if you want to use a specific instance of a REST Server.

Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)

After setting the properties in the application.properties file, we now configure them.

Data Source Configuration

First, we mark the MarkLogic data source as our primary data source. Then, we create a Data Source Bean.

Create a DriverManagerDataSource.java file and create a Bean within it, as shown below. If @Bean gives an error, Spring Boot may not have loaded properly. To fix this, go to File -> Invalidate Caches and restart. Additionally, make sure that Maven has added the Spring Boot dependencies.

To create a data source bean, we use DriverManagerDataSource Class. This class allows us to set the properties of the data source. The following code shows the bean definition of our data source. Each driver should have a bean.


import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.jdbc.DataSourceBuilder;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Primary;
import org.springframework.core.env.Environment;
import javax.sql.DataSource;

public class DriverManagerDataSource{
	@Autowired
	private static Environment env;

	@Bean(name ="MarkLogic")
	@Primary
	public static DataSource MarkLogicDataSource()
	{

	DataSourceBuilder<?> dataSourceBuilder = DataSourceBuilder.create();
		dataSourceBuilder.driverClassName("cdata.jdbc.marklogic.MarkLogicDriver");
		dataSourceBuilder.url("jdbc:marklogic:User='myusername';Password='mypassword';Server='http://marklogic';");
		return dataSourceBuilder.build();
	}
	
	//@Override
	public void setEnvironment( final Environment environment) {
	env=environment;
	}
}

Next, move the MarkLogic jar file to the Documents folder (see path in command below). Then, click the Maven icon (top right corner of IntelliJ) and click "Execute Maven Goal." Now, run the following command: mvn install:install-file -Dfile=C:\Program Files\CData\CData JDBC Driver for MarkLogic ####\lib\cdata.jdbc.marklogic.jar -DgroupId=cdata.jdbc.marklogic -DartifactId=cdata-marklogic-connector -Dversion=21 -Dpackaging=jar

After pressing enter, we see the following output:

Testing the Connection

The last step is testing the connection. We call the data source in the main method of MDSApplication.java:


import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.autoconfigure.jdbc.DataSourceAutoConfiguration;
import java.sql.Connection;
import java.sql.SQLException;
import static com.example.demo.DriverManagerDataSources.MarkLogicDataSource;


@SpringBootApplication(exclude = {DataSourceAutoConfiguration.class})
	public class MDSApplication {
		//remove the comment on the line below
		public static void main (){
		SpringApplication.run(DemoApplication.class, args);
		Connection conn = MarkLogicDataSource().getConnection();
		System.out.println("Catalog: "+ conn.getCatalog());
	}
}

The output generated should look like this:

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