![]() ![]() Let's create a package called to store all the repository files. It acts as a link between the model and the database and has all the methods for CRUD operations. The API implementation happens in the repository. The complete code for this tutorial can be found on GitHub. In this tutorial, we'll demonstrate the following:Ĭreating a POJO (Plain Old Java Object) to represent a grocery itemĪn alternate approach for document updates using MongoTemplate. We're going to build a grocery list for a user. We'll add Spring Boot MongoDB configurations so that we can use Spring Boot with MongoDB. We'll run our program from our IDE to focus on CRUD operations. In this tutorial, we'll build a Spring Boot application, focusing on persistence and database layers. The Spring framework provides powerful connectors to easily perform database operations with MongoDB. MongoDB can handle large amounts of structured and unstructured data, making it a database of choice for web applications. The database layer, for handling CRUD operations The persistence layer, for translating business objects to database objects The business layer, for business logic and validation Spring Boot is built on top of Spring and is mainly used for REST APIs. Spring is an application framework for Java, based on the MVC (Model-View-Controller) framework. Its maintenance of this streamlined design is one of the reasons MongoDB can achieve such high performance.Getting started with MongoDB and Spring Boot For some functionality, the database server offloads processing and logic to the client-side (handled either by the drivers or by a user’s application code). It combines the ability to scale out with features such as secondary indexes, range queries, sorting, aggregations, and geospatial indexes.Īlthough MongoDB is powerful, incorporating many features from relational systems, it is not intended to do everything that a relational database does. MongoDB is a powerful, flexible, and scalable general-purpose database. Chained replication is useful in certain replication topologies, and it is enabled by default in MongoDB. This type of replication is called Chained Replication because it is a two-step replication process. Sometimes a SECONDARY database can replicate data from another SECONDARY. Usually, SECONDARY databases copy data changes directly from PRIMARY.As a result, datafiles on SECONDARY are kept in sync with changes on PRIMARY. Oplog entries are applied in the same order they were inserted in the log. Then, the SECONDARY database applies changes from the Oplog to its own datafiles.If there are any changes, then Oplog entries are copied from PRIMARY to SECONDARY as soon as they are created on the PRIMARY node. The SECONDARY database is querying the PRIMARY database for new changes in the Oplog.Changes saved in the Oplog are sequential-that is, saved in the order that they are received and executed. The PRIMARY database saves data changes in the Oplog. In the preceding model, the PRIMARY database is the only active replica set member that receives write operations from database clients.The following diagram depicts the architecture diagram of a simple replica set cluster with only three server nodes – one primary node and two secondary nodes: Explain the Replication Architecture in MongoDB. and licensed under the Server Side Public License (SSPL).Ģ4. It combines the ability to scale out with features such as secondary indexes, range queries, sorting, aggregations, and geospatial indexes.MongoDB works on the concept of Collection and Document.It provides easy scalability and is a cross-platform, document-oriented database.It uses JSON-like documents with optional schemas. MongoDB is an open-source NoSQL database written in C++ language.To manage huge sets of unstructured data like log or IoT data, a NoSQL database is used. When dealing with data, there are two types of data as we know – (i) structured data and (ii) unstructured data. Structured data is usually stored in a tabular form whereas unstructured data is not. What are some utilities for backup and restore in MongoDB? Explain the concept of pipeline in the MongoDB aggregation framework. What is the Aggregation Framework in MongoDB? MongoDB Intermediate Interview Questions.What are some of the advantages of MongoDB? ![]()
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