Marklogic integration with springboot

Reading Time: 3 minutes

In this article, I am going to show you how to use Spring Boot as a RESTful web service and MarkLogic as a backend database and how to do marklogic integration with springboot application

Introduction

Assuming that you have a Springboot application which uses MarkLogic as backend service, this guide will show you how to integrate your application with MarkLogic. The first thing you need to do is install the MarkLogic Java Client API. You can find instructions on how to do this in the readme file of the GitHub repository. Once you have installed the client API, you need to add the following dependency to your project’s pom.xml file:

<dependency>

    <groupId>com.marklogic</groupId>

    <artifactId>marklogic-client-api</artifactId>

    <version>RELEASE</version>

</dependency>

Next, you need to configure the connection details for your MarkLogic server in your application.properties file. Below configurations are minimum require:

ml.host=localhost # Hostname or IP address of your MarkLogic server

ml.port=8010 # Port number of your MarkLogic server’s Application Server

ml.database=Documents # Name of the database to connect to

spring.data.marklogic.username=admin # Username for connecting to MarkLogic

spring.data.marklogic.password=admin # Password for connecting to MarkLogic

With this basic configuration in place, you can now start using the Spring Data for MarkLogic library in your application code!

Understanding Architecture for marklogic integration

MarkLogic is a powerful NoSQL database that can be used as a backend service for Springboot applications. In this blog post, we will take a look at the MarkLogic architecture and how it can be used to integrate a Springboot application with MarkLogic.

The MarkLogic architecture is based on a shared nothing architecture. This means that each node in a cluster is independent and can scale horizontally. Uses shading to distribute data across nodes. MarkLogic also uses replication to ensure high availability and disaster recovery.

MarkLogic has a flexible indexing system that can index any kind of data. This makes it easy to search and retrieve data from the database. MarkLogic also supports geospatial indexing which allows you to store and query data based on location.

The MarkLogic API is RESTful and there are language bindings for Java, Node.js, and .NET. This makes it easy to develop applications that use MarkLogic as a backend service.

Springboot Json Converter

n this section, we will learn how to use the Springboot Json Converter to easily convert your Java objects to and from JSON. We will also learn how to configure the converter to work with MarkLogic.

The Springboot Json Converter is a powerful tool that can be used to easily convert your Java objects to and from JSON. The converter is very easy to use and can be configured to work with MarkLogic.

To use the converter, you first need to add the following dependency to your project:

<dependency> 

<groupId>com.fasterxml.jackson.dataformat</groupId> 

<artifactId>jackson-dataformat-json</artifactId> 

</dependency>

Once you have added the dependency, you can use the converter in your code like this:

ObjectMapper mapper = new ObjectMapper(); // Convert a Java object to JSON 

String jsonString = mapper.writeValueAsString(myObject); // Convert a JSON 

string to a Java object MyObject myObject = mapper.readValue(jsonString, 

MyObject.class);

The converter is configured to work with MarkLogic by adding the following property to your application.properties file:

spring.jackson.marklogic.enabled=true

Marklogic integration with a RESTful service

A Springboot Application can be easily integrated with MarkLogic as backend service. All you need to do is add the following dependency in your pom.xml file for Marklogic integration:

<dependency>

    <groupId>com.marklogic</groupId>

    <artifactId>marklogic-client-api</artifactId>

    <version>RELEASE</version>

</dependency>

And configure the application properties file like this:

spring.data.marklogic.username=your_username  //required

spring.data.marklogic.password=your_password  //required

spring.data.marklogic.connection_string=localhost:8010  //optional, defaults

to localhost:8040

Now you can use all the features of MarkLogic from your Springboot Application!

Conclusion

In this article, we have seen how to integrate a Springboot application with MarkLogic as backend service. We have also seen how to perform various operations like CRUD, search and aggregation using the MarkLogic Java API. I hope this article has been helpful in understanding how to work with MarkLogic from a Springboot application.