Everything you need to know about the 'star performer' MongoDB
What is MongoDB and what is its usage??
In the time when the workplaces mostly have to deal with such an extensive amount of data every day, and for its management, Relational Database Management Systems or RDBMS have been a well popular database system used. The database solutions are mainly categorized into two types, i.e., RDBMS such Oracle, MYSQL, IBM DB2, and Microsoft SQL Server database etc. and the other type is NoSQL databases such as Cosmos DB, MongoDB etc.?
When an organization deals with high volume data, the chosen data storage solution should be highly efficient to perform data storage and data retrieval with high speed, accuracy and reliability. The NoSQL database came as an alternative to the SQL database having all the features of the RDBMS system with the added benefit of being simplistic, providing both horizontal and vertical scaling and also furnishing ease in controlling the stored data. Also, unlike the RDBMS systems, the NoSQL database allows the developer to store data in the database according to the requirements of the program. Thus, NoSQL databases being feature-loaded have become more famous in their usage among developers and organizations.?
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What is MongoDB??
MongoDB is one of the most famous open-source NoSQL databases. It is a document-oriented database which uses JSON-like documents with dynamic schema to store data. In MongoDB the data can be stored without stressing about the data structure like the types of fields or number of fields to store values. It is written in C++ programming language. ?
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How famous is MongoDB actually???
Today many giant companies in the IT industry are using MongoDB. According to recent reports, it falls in the fourth position for being the most popular database management system. And if we go with Siftery's survey, there are more than 4000 companies using MongoDB including the most prominent names World Bank, IBM, HTC, Twitter, Sony, Zendesk etc.?
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Replication in MongoDB?
Replication is the process in MongoDB where redundant data is created to streamline and safeguard data durability and data availability. The primary use of replication is to offer high availability and data redundancy. This is the way of maintaining the durability of data by making multiple replicas of it and keeping it on physically isolated servers. With MongoDB, the process of replication takes place with a replica set. In the primary server (node) writer operations are sent which exerts the operations across secondary servers while replicating the data.?
What are the advantages of MongoDB replication??
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How MongoDB Replication works??
In this section we will elaborately deal with the working of MongoDB Replication. Replication process takes place through the aforementioned Replica Set as it contains numerous MongoDB nodes which then group together as a unit. These nodes further segregate into data bearing nodes and one arbiter node discretionary.?
The data bearing nodes are further divided into primary and secondary nodes. All the write options are received in the primary node while the secondary node will perform the replication of the primary node's oplog and execute the operations to their data sets so that the secondary node's data sets reflect the primary node's data set. One important point to be mentioned is that of the several data bearing nodes, only one member is reckoned as the primary node and the rest of it as secondary nodes.??
In certain circumstances, the primary node may occur inoperable or it is unavailable, in that scenario the most favorable secondary node will be selected through a process called Replica Set Election where the secondary node will perform the role of the primary node so there will be continuous data availability.?
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MongoDB Sharding with Replication?
A shard in MongoDB is a single mongod instance or a replica set that keeps the data subset which is being used in a sharded cluster. The whole data set is held by Shards for a cluster. A sharded cluster takes care of a part of the data. Each of the shards is a replica set that furnishes high availability and redundancy for the data it holds. Shard is different from replication in a way where in shard if you would like to split your 90 GB data into three shards of 30 GB each, you would need 6 database servers organized in at least three replica sets. Each of the replica sets will consist of two servers having the same 30 GB data.?
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MongoDB Automation called as atlas ?
With the help of Cloud Manager UI automation in MongoDB takes place which allows configure, deploy and manage MongoDB deployments. MongoDB Agent is required for Cloud Manager Automation which should be installed on every server in the deployment. From time to time the MongoDB Agent polls the Cloud Manager service to regulate the ongoing goal and incessantly report their status to Cloud Manager. In MongoDB, automation runs only on 64-bit Architectures.?
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Manual automation using own hardware?
Things that should be remembered for manual automation and deployment are-??
(Different types of Installation)??
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Using MongoDB Atlas automate the automation?
MongoDB Atlas is an excellent Cloud Data Platform which handles all the complexities which come along the way of deploying and managing the deployments on your desired cloud service provider. It helps to seamlessly deploy MongoDB and scale faster in the cloud. It automates setting up your databases, charts, data lakes, full-text research indexes and more such things. At an ease of use, deploy a fully scalable global cluster across different cloud providers and different regions in just a few minutes with the help of MongoDB Atlas GUI.?
MongoDB Atlas works with API thus it is intuitive and provides convenience to the user to get the best out of the features of MongoDB Atlas. By integrating Atlas, it streamlines every stage of the Software Development Life Cycle and eventually allows the DevOps team to start automating all the processes in all the environments such as UAT, Test, Prod and Dev.?
By leveraging APIs on the creation of ephemeral databases, the DevOps team can firstly run their CI/CD processes for test intent on a lower environment and later after completion can simply terminate the deployment of the database.??
The DevOps team can start coding at the earliest with the help of MongoDB Atlas as the team includes in their Developers Portals the creation of the databases which are needed. This empowers developers and provide a self-service experience as they can any time start a project by using a portal to furnish all characteristics for the project and similar to a magic wand, there will take place all the automation needed in all aspects of the project, for example- CI/CD job template, new code repo, MongoDB database and Dev Application Servers.??
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MongoDB Backup and Restore?
The Backup and Restore is a distinctive feature in MongoDB while handling a database in it. This is of high importance because while dealing with a large amount of valuable data, if some mishap occurs such as crashing or corruption of the server, the loss will be irreparable if there's no backup of the data. The database backup in MongoDB happens with mongodump. The backup utility can create backups of a part of a database or the entire server, database or collection.??
Restore in MongoDB eventuate from the dump using mongorestore. Using the mongorestore command, the restore utility restores a binary backup created by mongodump. The restoration also takes place in a similar manner as backup, restoring either a specific part of the database or the entire database.?
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In situations where MongoDB works best-??