Why to learn MongoDB

Why to learn MongoDB

As we observe, today’s world that the majority of the people are switching to MongoDB, there are still many that like better to use a standard electronic database . Here, we'll discuss why MongoDB should we choose? Like every coin has two faces...

As we observe, today’s world that the majority of the people are switching to MongoDB, there are still many that like better to use a standard electronic database . Here, we'll discuss why MongoDB should we choose? Like every coin has two faces, it's own benefits and limitations. for more techniques go through MongoDB online training Hyderabad

So, are you able to explore the explanations to find out MongoDB? These are some reasons, of why MongoDB is popular.

  • Aggregation Framework
  • BSON Format
  • Sharding
  • Ad-hoc Query
  • Capped Collection
  • Indexing
  • File Storage
  • Replication

MongoDB Management Service (MMS)

i) Aggregation framework We can use it during a very efficient manner by MongoDB. MapReduce are often used for execution of knowledge and also for aggregation operations. MapReduce is nothing but a process, during which large datasets will process and generate results with the assistance of parallel and distributed algorithms on clusters.

It consists of two sets of operations in itself, they are: Map() and Reduce().

Map(): It performs operations like filtering the info then performing sorting thereon dataset. Reduce(): It performs the operation of summarizing all the info after the map() operation.

ii) BSON format It is JSON-like storage a format. BSON stands for Binary JSON. BSON is binary-encoded serialization of JSON like documents and MongoDB uses it, when to stores documents in collections. we will add data types like date and binary (JSON doesn’t support).

BSON format makes use of child as a primary key up here . As stated that child is getting used as a primary key so it's having a singular value related to itself called as ObjectId, which is either generated by application driver or MongoDB service. Below is an example to know BSON format during a more better way:

Example-

{ "_id": ObjectId("12e6789f4b01d67d71da3211"), "title": "Key features Of MongoDB", "comments": [ ... ] } Another advantage of using BSON format is that it enables to internally index and map document properties. because it is meant to be more efficient in size and speed, it increases the read/write throughput of MongoDB.

iii. Sharding The major problem with any web/mobile application is scaling. to beat this MongoDB has added sharding feature. it's a way during which , data is being distributed across multiple machines. Horizontal scalability is being given the sharding.

It is a sophisticated process and is completed with the assistance of several shards. Each shard holds some a part of data and functions as a separate database. Merging all the shards together forms one logical database. Operations up here are being performed by query routers.

iv. unplanned queries MongoDB supports range query, regular expression and lots of more sorts of searches. Queries include user-defined Javascript functions and it also can return specific fields from the documents. MongoDB can support unplanned queries by employing a unique command language or by indexing BSON documents.

Let’s see the difference between SQL SELECT query and resembling query:

E.g. Fetching all records of student table with student name like ABC.

SQL Statement – SELECT * FROM Students WHERE stud_name LIKE ‘«C%’; MongoDB Query – db.Students.find({stud_name:/ABC/ });

v. Schema-Less As it may be a schema-less database(written in C++), it's far more flexible than the normal database. thanks to this, the info doesn't require much to line up for itself and reduced friction with OOP. If you would like to save lots of an object, then just serialize it to JSON and send it to MongoDB.

vi. Capped Collections MongoDB supports capped collection, because it has fixed size of collections in it. It maintains the insertion order. Once the limit is reached it starts behaving sort of a circular queue.

Example – Limiting our capped collection to 2MB

db.createCollection(’logs’, {capped: true, size: 2097152})

viii. Indexing To improve the performance of searches indexes are being created. we will index any field in MongoDB document either primary or secondary.

Due to this reason, the database engine can efficiently resolve queries.

viii. File Storage MongoDB also can be used as a file storing system, which avoids load imbalance and also data replication. This function performed with the assistance of Grid filing system , it's included in drivers which stores files.

ix. Replication Replication is being provided by distributing data across different machines. It can have one primary node and quite one secondary nodes in it (replica set). This set acts sort of a master-slave. Here, a master can perform read and write and a slave copies data from a master as a backup just for a read operation. for more techniques go through MongoDB online training Hyderabad

x. MongoDB Management Service (MMS) MongoDB features a very powerful feature of MMS, thanks to which we will track our databases or machines and if needed can backup our data. It also tracks hardware metrics for managing the deployment. It provides a feature of custom alert, thanks to which we will discover issues before our MongoDB instance will affect.

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