Data Modeling, Security, Monitoring and backup in MONGODB

MongoDB is a document-oriented NoSQL MongoDB database which is used for storing high volume data. MongoDB uses lists and records instead of using tables and rows as in the conventional relational MongoDB databases. Documents consist of key-value pairs which constitute MongoDB’s basic data unit. Collections include collections of documents and functions that are the equivalent of tables for relational MongoDB databases.

Features

The features are as follows.

Document-oriented

Since MongoDB is a NoSQL style MongoDB database, it stores the data in records, rather than storing data in a relational type format. MongoDB online course helps you to learn more effectively.
Ad hoc queries

MongoDB supports field search, range queries, and frequent searches of the expression. It is possible to make queries to return different fields inside the documents.

Indexing

Indexes can be generated to improve search efficiency within MongoDB. Any field can be indexed in a MongoDB database.

Replication

MongoDB can include replica sets with a high availability. A replica collection consists of two or more instances of the mongo DB. It is a member set to replica can at any time act in the position of the primary or secondary replica. The primary replica is the main server that communicates with the client and performs all the operations of read / write. Secondary replicas retain a copy of the primary data using built-in replication. If a main replica fails, the group of replicas moves immediately to the secondary, and then it becomes the primary server.

Load balancing

MongoDB uses the sharding principle to scale horizontally, by separating data across many instances of MongoDB. In case of hardware failure, MongoDB will operate over several servers, balancing the load and/or duplicating data to keep the machine up and running.

In this article let us see briefly about data modeling, security, backup and indexing.

MongoDB Data Modelling

As we saw in the Introduction section, the MongoDB data has a versatile schema. Unlike in SQL MongoDB databases, where you must have the schema of a table declared before adding data, the collections of MongoDB do not enforce document structure. That kind of versatility is what makes MongoDB so powerful.

Bear in mind the following points when modeling data at Mongo

• What are the application ‘s requirements — Look at the application’s business needs and see what data and the type of data the application requires. Depending on this, make sure the document’s layout is determined accordingly.
• What are data recovery trends — If you’re expecting a heavy MongoDB database use then consider using indexes in your data model to increase query performance.
• Will additions, modifications and removals occur regularly in the MongoDB database? Reconsider using indexes or implement sharding to boost the efficiency of your overall MongoDB system as needed in your data modeling design.

MongoDB security

MongoDB has the potential to describe MongoDB database secure frameworks. By default one wouldn’t want everyone to have an open access to any MongoDB database, so it’s important to have some kind of security mechanism in MongoDB.

The best practices for applying protection in MongoDB databases are as follows.

MongoDB has the potential to describe MongoDB database secure frameworks. By default one wouldn’t want everyone to have an open access to any MongoDB database, so it’s important to have some kind of security mechanism in MongoDB.

The best practices for applying protection in MongoDB databases are as follows

• Access control allow

You can build accounts such that all applications and accounts are required to provide some kind of authentication mechanism when accessing MongoDB databases.

• Configure role-based access control

Often there may be a reasonable grouping of permissions that will need to be clubbed into positions. Then users can be allocated to those positions.

Try setting MongoDB to use some kind of encryption protocol like TLS or SSL. These protocols can be used to encrypt the traffic flowing between the client and the DB environment in mongo.

Configure auditing

Managers typically need to know who is doing what, which helps to later examine issues. The best way to do so is to require MongoDB auditing.

Run a MongDB server instance with a separate user ID in the server environment that has access to the resources needed.

You can learn more through MongoDB security best practices.

Backup procedures in Mongodb-mongo dump

When working with MongoDB it is important to always ensure that a backup procedure is in place in case of manipulation of the data inside MongoDB for any reason.

Below are the available backup mechanisms within MongoDB.

Backup by Copying Underlying Data Files

This is probably the easiest process to do, what you need to do is copy and transfer the data files MongoDB resides on to another place that should hopefully be a separate server. Best MongoDB course for more skills and techniques from industrial experts.

Backup a Mongo dump Server

The mongodump device reads data from a MongoDB, MongoDB database and builds BSON files with high fidelity. This needs to be taken into account is that if the data set is large in volume then mongodump can be very resource-intensive, so the utility should be running on a secondary server to minimize this issue.

MongoDB Cloud Manager Backup

MongoDB Cloud Manager is continuously backing up MongoDB replica sets and sharding clusters by reading the MongoDB environment oplog info. MongoDB Cloud Manager can create a time recovery point by storing oplog data so that a specific replica set or sharded cluster can generate a restore at any time.

MongoDB Monitoring

Surveillance is one of MongoDB’s most important administrative tasks. It is because by watching the atmosphere for potential problems that may occur you will be more cautious.

Below are some examples of how to apply monitoring.

• Mongostat can inform you how many times MongoDB database operations such as adding, querying, modifying, deleting, etc. do actually take place on the server. It will provide a clear idea of how well the server handles the load, and will show that you need additional resources on the server or even additional servers to disperse the load.
• Mongotop monitors and reports the current MongoDB instance read and write activity, and reports these statistics on a collection basis.
• MongoDB offers a web interface that presents information about diagnosis and tracking in a single web page. One may search the url below on your local server to open the http:/localhost:28017 site administration utility
• The command ServerStatus, or db.serverStatus) (from the shell, returns an overview of the MongoDB database status, including information about disk usage, memory usage, connections to the MongoDB network, etc.

MongoDB Considerations in Indexing and Performance

Indexes are very useful in any MongoDB database and can be used to improve the effectiveness of MongoDB’s search queries. If you conduct searches in your MongoDB database on a continuous basis, then it is better to add indexes to the application fields that are used in the search criteria.

Seek to always limit the number of returned query results. Suppose you’ve got 2 field names in a chart, but you just want to see 2 fields in it. So make sure that your question only targets the 2 fields you need, and not all fields.

If you wish to view other field values, use those fields in the question only. Do not question all of the collection fields if they aren’t needed.

Conclusion

I hope you reach a conclusion about different concepts in MongoDB. You can learn more from MongoDB online training.