Spring Data Mongodb Embedded Documents Example

4, it was passed the XMLHttpRequest object). Normally, a key within a document is mainly string type data. OS X Solaris Windows; Data scheme: schema-free Although schema-free, documents of the same collection often follow the same structure. MongoDB Save() Method. The new kid on the block, called MongoDB is a scalable, high-performance, open source, schema free and document oriented database that focuses on the ideas of NoSQL Approach. In last case you can understand both native Mongo API and Spring Data API. In our example, we will be using Spring boot 2. 3 Data Modeling For Document-Oriented Database An important step in database implementation is the data modeling, because it facilitates the un-. MongoDB documents are similar to JSON objects. Embedded documents and arrays reduce need for joins. It's useful to provide a fully working backing This sample project shows how a spring-boot application can be setup with an embedded MongoDB. In this tutorial we will refactor an existing Spring MVC 3 - MongoDB application (see here) to use the newly released Spring Data Document 1. MongoDB stores data in the form of documents, which are JSON-like field and value pairs. yes: schema-free and schema-optional; Typing predefined data types such as float. Verify in Elasticsearch if the data from MongoDB was indeed inserted. 작년에 만든 샘플 프로젝트라 ㅋㅋ. Embedded Data. You can change this to other values and eventually you want to set it to 'All' once you finalize your queries and are ready for importing the data into Exploratory. Initiate your project. In general, embedding gives a better performance for read operations. NET Web API to build an ApiController with support for HTTP GET, PUT, POST, and DELETE. Map / Reduce for Aggregation. It is platform-independent and it stores its data in documents using a JSON structure. 12 Months with MongoDB. [email protected] 2. This tutorial explain you how to perform association mapping in mongo-db using Embedded documents GitHub: https://github. Learn how to create a database in MongoDB, join data sets, perform calculations, and more. Anything that has state and behavior can be termed as an Object, be it physical or logical. Insert data into a collection using MongoDB Compass. host=localhost spring. It is a document database, which allows data persistence and enables you to query data in a nested state without any schema constraint and complex joins between documents. 0 with Tableau of a sample data set in Tableau. Previous Next In this tutorial we will discuss about the querying the document to the mongoDB. Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It defines two repositories, JpaPersonRepository and MongoDBPersonRepository. You have now reached the end of this quick tutorial into Embedded documents with Spring Data and MongoDB where we have modelled relationships between data that are expressed as documents embedded within others. If for example, I have two document collections: Us Spring and MongoDB manual references (MongoDB forum at Coderanch). By default a field with a name of 'id' or '_id' will be used as the ID field of the document. If you have a few years of experience in the Java ecosystem, and you’re interested in sharing that experience with the community (and getting paid for your work of course), have a look at the “Write for Us” page. 8 and JDK 8. This post will cover the Spring Data sub project for accessing the document store MongoDB. We will learn to create various custom dynamic queries with multiple MongoDB operators to get started. Query for Sub Document field in Spring Data Mongodb July 1, 2017 October 17, 2017 - by mhdr - Leave a Comment To resolve this ambiguity you can use _ inside your method name to manually define traversal points. I found useful GSON library to parse JSON objects and, of course, Spring Data over Spring Boot. js and ExpressJS frameworks. If an appropriate index exists for a query, MongoDB can use the index to limit the number of documents it must inspect and hence rudeces the execution time. Spring WebFlux (actually the spring-test module) includes a WebTestClient that can be used to test WebFlux server endpoints with or without a running server. Here is a small example app that exposes a Rest endpoint to retrieve data from MongoDB, reactive from one end to the other. Also, later in the chapter we have covered the projection concept of MongoDB where we can limit the display of document fields present in a MongoDB’s. Step 2: Adding a MongoDB Collection and Data. Generic test automation framework for acceptance testing and ATDD. Released in 2009, MongoDB is intended to create a technological foundation that enables development teams through distributed systems design, document data model, and unified experience. In this article, we will learn about Spring data MongoDB queries with different ways to create and execute MongoDB queries in a spring boot project. Data Science is not restricted to only Big Data, but the fact that data is scaling up, makes Big Data an important aspect of data science. Intro In the last post HowTo: Web Application with Spring-Boot, Kotlin and Mongodb, a short tutorial was provided to create a simple web application. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Linux Can also be used server-less as embedded Java database. So, we don’t have to learn the query language of MongoDB—we can simply write a handful of methods and the queries will be written for us. Note that a value in MongoDB can be a document, an array of documents, an array of BSON, or just a BSON type. Below is an example of a document with two embedded documents:. This is a JSON document. A "compound index" which is the correct term for your "link" does not create any performance problems on "read" ( since writing new entries is obviously more information ) than an index just on the single field used in the query. 19 Responses to "Building a Microservice Architecture with Spring Boot and Docker, Part III" Thisadee P on December 12th, 2015 - 3:43am Are you using "mongo" or "mongodb" as container name? in 2nd part you create it with " docker run -P -d -name mongo mongo". As mentioned earlier, MongoDB doesn't use tables. While adopting MongoDB in any application, it is important to base it on data Modelling. MongoDB: Convert data getting from MongoDB into JSON Format Today I am working on one of the use case in which I have to integrate MongoDB with Oracle SOA and expose a rest service from Oracle SOA which output the response as a JSON String. Normally, a key within a document is mainly string type data. Learn number of ways to find a document or multiple documents based on same condition as we do in SQL using WHERE CLAUSE. Spring Data, an umbrella data access framework, supports a number of reactive data access options including reactive Cassandra, reactive MongoDB, reactive Couchbase and reactive Redis. 8 and JDK 8. We will use latest version of Spring Framework and Spring Data MongoDB for our example project. springframework. In this MongoDB index tutorial, we will see how to create indexes, show indexes, and use indexes. Documents can also contain other embedded documents or arrays of documents. It's useful to provide a fully working backing This sample project shows how a spring-boot application can be setup with an embedded MongoDB. This example shows a domain class using both JPA and Spring Data MongoDB annotations. The example app is using an embedded Mongo database running at localhost:27017. The @Query annotation declares finder queries directly on repository methods. Generic test automation framework for acceptance testing and ATDD. This tutorial guides you through an example for understanding the integration between Spring Data, Spring REST and MongoDB. In the example below there customerType is an Object and opportunities is an embedded array. In this tutorial we will refactor an existing Spring MVC 3 - MongoDB application (see here) to use the newly released Spring Data Document 1. By default, when we query any collection in MongoDB, it returns all fields in matching documents. MongoDB find document examples. This is done through the use of the the various index annotations that Spring Data provides for use with MongoDB, which include: @Indexed specifies a field that will be indexed by MongoDB. js Tutorial, we shall learn to insert one or more documents to MongoDB Collection from Node. The following example deletes all documents where i is greater or equal to 100:. This guide walks you through the process of using Spring Data MongoDB to build an application that stores data in and retrieves it from MongoDB, a document-based database. The Spring Data project already has support for a number of the above mentioned NoSQL. Let's boot up for Christmas: Spring Boot is an opinionated framework that simplifies the development of Spring applications. Embedded Data. xml is this. MongoDB documents are similar to JSON objects. Data Extraction and Processing: The main objective of data ingestion tools is to extract data and that’s why data extraction is an extremely important feature. MongoDB and pymongo also allow you to insert multiple documents with a single API call (and a single trip to the server). MongoDB (from MongoDB Sharded Cluster) After realizing the possibilities of creating database software, the team shifted focus to creating MongoDB. Jeff Yemin By default Spring Data treats the address property in the Person class as an embedded document when persisting it to MongoDB, so searching for an address independently of the person it's embedded in doesn't work. 12/19/2018; 2 minutes to read; In this article Overview. Linux Can also be used server-less as embedded Java database. 그래서 찾아보니 1. Responsible work with MongoDB Understanding data model is sufficient to design good database schema in RDBMS (relational database management system). Python MongoDB Connectivity. Using Spring Initializr. apartments where the "rent" field was less than 1000. Create your main program which starts the Spring Boot application. Similar documents can be stored in a collection, which is analogous to an SQL table. If an appropriate index exists for a query, MongoDB can use the index to limit the number of documents it must inspect and hence rudeces the execution time. Following is the code to insert your sample json string or any other string in mongo db : > try { MongoClient client = new MongoClient(new ServerAddress(";localhost. MongoDB Main Components MongoDB is a crossplatform, document oriented database that provides, high performance, high availability, and easy scalability. For complete MongoDB installation instructions, see the manual. Geospatial Index: To query geospatial data, MongoDB uses two types of indexes—2d indexes (read as two D indexes) and 2d sphere (read as two D sphere) indexes. Join the DZone community and get the full member experience. Multikey Index: To index array data, MongoDB uses multikey indexes. stores its data as. Spring Repository(interface) is abstraction for data access layer. data collection contains all of the weather reports in the dataset. Filters helper methods to facilitate the creation of filter documents. Start a MongoDB Server. We provide a “template” as a high-level abstraction for storing and querying documents. as well a standard Key/Value store similar to BerkeleyDB, LevelDB, etc. What is MongoDB? 1) MongoDB is an open-source document database that provides high performance, high availability, and automatic scaling. host=localhost spring. In the example above the address field is an embedded document inside the document. If an appropriate index exists for a query, MongoDB can use the index to limit the number of documents it must inspect and hence rudeces the execution time. The difference with save is that if the passed document contains an _id field, if a document already exists with that _id it will be updated instead of being added as new. I know I can move the embedded document to its own collection but the main goal is to have the performance benefit of embedded document and also avoid duplication. These denormalized data models allow applications to retrieve and manipulate related data in a single database operation. Spring Data MongoDB has been updated to leverage the reactive programming model introduced in Spring Framework 5. MongoDB can only project fields nested at only a single level when the $ operator is used. Let’s look at some examples, then see what are the various operations provided by MongoDB to help you to deal with this. When it's time to gather metrics from MongoDB, there's no better tool than MongoDB aggregations. MongoDB documents are similar to JSON objects. The command can return either the previous values of the documents or the new updated values of the documents. Spring Data Mongodb Composite Id. There are multiple ways to achieve Isolation with your MongoDB operations, for example: “findAndModifyOperation()” Command. This page will walk through Spring Data CrudRepository example. 0 Introduction to JSR 168/Portlet Specification 1. Spring Boot 2. It also inherits functionality from the Spring Data Commons project, such as the ability to derive queries. The following code examples are extracted from open source projects. You should start to get used to the idea of letting go normalization and starting to duplicate data. For details on the priority, see Detection and Prioritization of DataSource Implementations. The following example deletes all documents where i is greater or equal to 100:. In our example, we will be using Spring boot 2. Of course, this doesn't solve the problem of versioning and it's still up to the app to deal with the changing data structure (not always trivial. In this example, the application relies on the RDBMS to join Tve separate tables in order to build the blog entry. You can click to vote up the examples that are useful to you. Replication and Failover for High Availability. SQL Adapters (like MySQL and PostgreSQL) have an eager fetching solution from the GeddyJS Model ORM. The following example deletes at most one document that meets the filter i equals 110: collection. 2) MongoDB documents are similar to JSON objects. I re-wrote your test a bit to show what I mean. country": "Germany"}) Find Documents using Logical Conditions. The last example show you how to create a document with multiple keys, embedded document and an arrays. MongoDB is a popular NoSQL document database. Lets start by looking at my Post object that I will use for this blog tutorial. Unlike most other NoSQL databases, UnQLite does not have a separate server process. Having this knowledge you are able to construct normalized tables, add appropriate constraints and finally create indexes to speed up queries. 3) Create a folder in C:datadb. From the experienced tutor learn in-depth concepts. We will learn to create various custom dynamic queries with multiple MongoDB operators to get started. , however if you want to persist one of your own classes that is not a domain class you can implement a custom user type. You can merely define queries by creating interfaces with methods following a naming convention or annotating them with @Query and Spring will automagically generate an implementation for you. 2) Extracts to your prefer location, example c:mongodb. MongoDB stores documents in the XML format. There are multiple ways to achieve Isolation with your MongoDB operations, for example: “findAndModifyOperation()” Command. This is particularly true when we talk about “relations” versus “embedded documents (or values)”. For that, we have to create a new Java Class as a model or entity. How to use Spring Data MongoDB API with Azure Cosmos DB. I'd like to know if it's possible (or even correct) to use embedded documents as reference in other documents. If you are familiar with how to do document queries in MongoDB, you know this is an advantage because you need to do only one query to get the data for both the user and address. Download the right MongoDB version from MongoDB; Create a database directory (in this case under /data). To delete all documents matching the filter use the deleteMany method. Auto Sharding for Easy Scalability. From the experienced tutor learn in-depth concepts. JSON documents consist of one or more name/value pairs, enclosed in curly braces {}. Spring Data has a good integration with MongoDB aggregation framework. Full Index Support for High Performance. Document is same as a row in the table of relational database. MongoDB (from MongoDB Sharded Cluster) After realizing the possibilities of creating database software, the team shifted focus to creating MongoDB. From the experienced tutor learn in-depth concepts. 2, you can build Spring applications with MongoDB as data storage solutions. Understanding when it is appropriate to use MongoDB against a relational database and the interfaces to be used to interact with it requires some degree of experience. The key component of this architecture is the data model, which is based on schema-less documents and collections. MongoDB is an open source database that uses a document-oriented data model. Embedded documents and arrays reduce need for joins. Here we are just starting a new beginning, and in the end, you need to practice and learn in actual combat. Since, MongoDB is a document based database, any document within the same collection is not mandatory to have same set of fields or structure. Complete CRUD operations on MongoDB, Spring Data and Spring Boot. Before doing this tutorial, it is worth while to do the Hello World tutorial. Let’s look at some examples, then see what are the various operations provided by MongoDB to help you to deal with this. AbstractMongoConfiguration. The document in MongoDB is similar to JSON object. Our final Spring Data MongoDB example project will look like below image. Document-oriented storage. that takes a MongoDB database and maps the document schema into a. MongoDB Update () Document. Query for Sub Document field in Spring Data Mongodb July 1, 2017 October 17, 2017 - by mhdr - Leave a Comment To resolve this ambiguity you can use _ inside your method name to manually define traversal points. This document briefly explains how to add and use some of the most popular Node. as well a standard Key/Value store similar to BerkeleyDB, LevelDB, etc. Source code for this example is available on Github. database=roytuts Creating Entity Class. host=localhost spring. The burden of applying logic is on the application side. 1 - Implement CRUD with Spring Data MongoDB (Part 1) MongoDB tutorials Spring Data - MongoDB (Revision for 1. The sample application consists of a simple model of a user with some attributes and another one representing an address. This year I greeted Christmas in a different fashion: I was a part of the Java Advent Calendar. Do you get the same performance using index prefixes? performance,mongodb,indexing. Mongodb Spring Data Mongodb Example. Embedded data model allow to store related information in same document in the form of embedded documents. Spring Data MongoDB Support. Responsible work with MongoDB Understanding data model is sufficient to design good database schema in RDBMS (relational database management system). In our example, we will be using Spring boot 2. The command can return either the previous values of the documents or the new updated values of the documents. Integrate Spring boot Rest API, Spark, MongoDB and Azure December 3, 2016 July 7, 2017 nomaan butt In this post I have shown how to connect end to end Spark, MongoDB, Rest interface and web client to consume rest service created using Spring boot on Azure. Another beauty of Spring Data MongoDB is that you write Java method to query your database and Spring generates the corresponding query from your method for performing database operations. com | MongoDB DBRef Optional Instead of nesting documents Have to save the "referenced" document first. Spring Boot, Spring Data MongoDB and Embedded MongoDB In almost all of my projects that involves external resources, I try my best to enable the application to fully run without dependencies. Method 1: Embedding Documents. This guide walks you through the process of using Spring Data MongoDB to build an application that stores data in and retrieves it from MongoDB, a document-based database. Rich Document based queries for Easy readability. We’ll use MongoDB as our data store along with the reactive mongodb driver. Below is an example of a document with two embedded documents:. Tests without a running server are comparable to MockMvc from Spring MVC where mock request and response are used instead of connecting over the network using a socket. Start a MongoDB Server. Spring boot started data Solr is the extension of spring data which used to integrate Solr with spring boot. The application will only have a single domain model called Tweet. If a document contains another document in the form of the key-value pair then such type of document is known as an embedded document. The following code examples are extracted from open source projects. Aggregations are a set of functions that. Document are analogous to rows in a SQL table, but there is one big difference: not every document needs to have the same structure—each of them can have different fields and that is a. Filters helper methods to facilitate the creation of filter documents. Our purpose here is to realize how Spring Data simplifies integration development with MongoDB. The base ClassMetadata class is responsible for only data storage and is not meant for runtime use. I'm having a little trouble writing a query that needs to compare a given value against a certain field in all embedded documents within an array. This tutorial explain you how to perform association mapping in mongo-db using Embedded documents GitHub: https://github. This post covers how to use the so powerful Spring Data with MongoDB. When designing data models, always consider the application usage of the data (i. MongoDB stores in a format called BSON which is a binary representation of JSON document. In the Big Data Studio, the Jackson and MongoDB libraries are already in the set of provided jars. Mongo is better than storing arbitrary blobs – you can query them! You can have interesting indexes to speed up queries!. Spring Data MongoDB Repositories Examples of how to set up the MongoRepository to read and update MongoDB. MongoDB find document examples. Uses @Document to define a “collection name” when you save this object. database=car_dealer spring. In document stores, you must determine and declare a table's schema before inserting data. database=example Repository & Controller. What You Will build You will store Customer POJOs (Plain Old Java Objecgs) in a MongoDB database by using Spring Data MongoDB. Spring 4 MongoDB Repository Example. Spring Data MongoDBがサポートするMongoDBのバージョンは下表の通りです。 この表に従って今回使用するMongoDBのバージョンは2. Spring Boot MongoDB, Spring Data MongoDB, Spring MongoDB Example, Spring MongoRepository, Spring MongoTemplate, MongoRepository vs MongoTemplate, spring boot mongodb example configuration, spring boot mongodb tutorial, Query, Criteria, Authentication user password. 3 of Spring Data MongoDB about type-safe query. This post explains some experiments related to select and filter child array with MongoDB queries. mongo dependency Spring Boot will automatically try to download and start the embedded MongoDB when running tests. It stores data as JSON key-value pairs. Configuring MongoDB database. Full Index Support for High Performance. To create the document using the Java driver, we use the Document class. The Spring Data MongoDB project applies core Spring concepts to the development of solutions that use the MongoDB document style data store. When finding documents in a collection, you can filter the result by using a query object. IO's "Hello world" is a chat app in just a few lines of code. 3) Create a folder in C:datadb. Now lets get onto what this post is about, applying indexes to documents using Spring Data. 2, which provides fluent query builder, SQL query, update-in-place, ES2017 syntax support, and true intellisense experience. It is a document database, which allows data persistence and enables you to query data in a nested state without any schema constraint and complex joins between documents. MongoDB CRUD operations (insert, update, find, remove) all operate on top-level documents exclusively -- although of course you can filter by fields in embedded documents. 4 or higher MongoDB. In this tutorial, we will learn to integrate MongoDB with a spring boot application and perform different CRUD operations through Spring Data MongoRepository as well as MongoTemplate with different examples and samples. For example, the following query matches documents where any document nested in the instock array has the qty field greater than 10 and any document (but not necessarily the same embedded document) in the array has the qty field less than or equal to 20:. A single MongoDB deployment consists of many databases. MongoDB collections do not enforce document structure. The Spring Data MongoDB project applies core Spring concepts to the development of solutions using the MongoDB document style data store. The above document sample contains a key named "message" with a value of "Hello, MongoDB". Here is a small example app that exposes a Rest endpoint to retrieve data from MongoDB, reactive from one end to the other. In the Big Data Studio, the Jackson and MongoDB libraries are already in the set of provided jars. If your subcollection can growth without limits go flat. Java Code Examples for org. In the our example we will update a document to “dojCollection” of “dineshonjavaDB“. Optionally impose all or part of a schema by defining a JSON schema. So in the tutorial, JavaSampleApproach will show a powerful tool SpringData MongoRepository with flexible and more complex APIs to interact with MongoDB. Getting started with Spring Data. @CompoundIndex specifies a class that will use compound indexes. Under the hood, the Spring Data MongoDB project is used. we can easily setup an embedded MongoDB instance for testing, with in-built clean up support once tests are complete. js - Insert Document(s) to MongoDB Collection. Entities, tables, collections, and documents. Candid institutes offer Best MongoDB training in Chennai with an updated curriculum. The example above fetches data every 1st minute of every hour every day, update the schedule as per your requirements. In the past post, we had learned how to work with MongoDB by MongoOperations which supports a set of standard APIs to manipulate data. Previous Next In this tutorial we will discuss about the querying the document to the mongoDB. For example: User. The @CollectionTable of the @ElementCollection is not used or supported in NoSQL, as the data is stored within the value/document, no separate table is required. that takes a MongoDB database and maps the document schema into a. The thinking is that if documents are larger than this size, it is likely the schema is not ideal. When using the DISCRIMINATOR approach, GORM for MongoDB will store a tenantId attribute in each MongoDB document and attempt to partition the data. S To remove the extra _class column, read this article - Spring Data MongoDB Remove _class Column. The following are top voted examples for showing how to use org. Dictionary entries are more naturally modeled as hierarchical documents and using that model has made it quicker to find data and is easier for development. springframework. Query for Sub Document field in Spring Data Mongodb July 1, 2017 October 17, 2017 - by mhdr - Leave a Comment To resolve this ambiguity you can use _ inside your method name to manually define traversal points. In general, embedding gives a better performance for read operations. Spring Boot 2 is based on Spring 5 and has full reactive support. example is annotated with @SpringBootApplication , so it is recognized by spring boot to run as a spring boot application. This article is hypothetical divagation how to determine and use a set of rules to create relational schema based on MongoDB data. I have a collection of username/password in a. Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Map / Reduce for Aggregation. Document is same as a row in the table of relational database. • Development batch jobs and web services for data transfer between online shop and internal ERP. Let's boot up for Christmas: Spring Boot is an opinionated framework that simplifies the development of Spring applications. If you need this, go for a flat design with references. The advantages of using documents over relational tables are: Documents correspond to native data types in many programming languages. and document models, consider the example of a blogging platform in Figure 5. MongoDB is an open source document-oriented NoSQL database which stores data in the form of JSON-like objects. The command is simply this:. Introduction to NoSQL and MongoDB Join Embedded Document • Omit the _id field to have MongoDB generate a unique key • Example db. Spring Boot tries to auto-configure most of the stuff for you based on the dependencies that you have added in the pom. let's understand Aggregation Operation is an interface which Represent SIngle Operation in Aggregation pipeline. In this installment of the Database Clinic series, learn how to leverage MongoDB—a powerful document database—to handle common tasks. host=localhost spring. MongoDB Save() Method. Adding the capability to connect databases to Express apps is just a matter of loading an appropriate Node. 6, How to update documents in a MongoDB collection. In the our example we will fire query ti access a document from “dojCollection” of “dineshonjavaDB“. In the our example we will update a document to "dojCollection" of "dineshonjavaDB". After a short introduction to the Java driver for MongoDB, we'll have a look at the more abtract persistence frameworks like Morphia, Spring Data, Jongo and Hi… Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you've used Spring Data before, you'll be familiar with the @Entity annotation. M2) Spring Data - MongoDB Tutorial (1. It is platform-independent and it stores its data in documents using a JSON structure. Related Posts. Each database gets its own set of files on the file system. In this tutorial, I am listing 4 ways you can utilize to insert or add document(s) into a collection in MongoDB. Our Student class is a simple pojo class consisting of getters and setters for the properties id, name, age. Uses @Document to define a “collection name” when you save this object. MongoDB stores all documents in collections. ADF 11g Data Control Android Annotations ant Apache Apache Cassandra Apache ODE Apache Solr BPEL BPM business logic Cassandra+Maven coherence coherence and servlet coherence cache with servlet Custom Annotations in Java drools drools+jBPM drools and jBPM EJB EJB3 Handling Oracle Collections using Spring Hibernate Hibernate3 hibernate annotations Hibernate Inhertitance integrating spring with mongodb Java Java Annotations Java Custom Annotations Java EE JavaEE JavaScript Java Webservice jaxb. You may notice similarities to the JDBC support provided by the Spring Framework. Use of the bulkWrite methods is not recommended when connected to pre-2. In this tutorials, we are going to show how to work with Spring Boot MongoDB with Spring Data. In this example, the application relies on the RDBMS to join Tve separate tables in order to build the blog entry. data collection contains all of the weather reports in the dataset. port= 27017 spring. JsonDB: a Opensource, Java-based, Database. M1 for MongoDB. See Documents for more information. We have used Java base configurations to load the MongoTemplate. An Object is a data type in MongoDB which is frequently used for embedded documents. MongoDB is one of the. In Spring DAO layer contains the Repository class this class is responsible for all database related operations. The document in MongoDB is similar to JSON object.