Developers have a huge impact on their business’s growth. But to outpace their competition, they need every advantage they can get. That means working with the most agile and automated database so they can accelerate the development of their applications and stay flexible in the long run. For some, this database is MongoDB.
In this article, you will gain information about MongoDB Configuration Files. You will also gain a holistic understanding of MongoDB, its key features, creating MongoDB Configuration files, using MongoDB Configuration files and customizing MongoDB Configuration files. Read along to find out in-depth information about MongoDB Configuration Files.
Table of Contents
- What is MongoDB?
- Key Features of MongoDB
- What is the MongoDB Configuration File?
- How to Create the MongoDB Configuration File?
- How to Use the MongoDB Configuration File?
- How to Customize the MongoDB Configuration Files?
What is MongoDB?
Since general RDBMS are easier to use same is the case with MongoDB. MongoDB uses a NoSQL platform making it easier for individuals having less or no prior programming knowledge. MongoDB processes the data in a semi-structured format, allowing for processing large volumes of data in one go simultaneously. It can be hosted on mostly all the cloud platforms be it Google’s Cloud, Microsoft Azure, or even Amazons’ Web Services.
MongoDB uses Binary JSON and MQL as an alternative to SQL. BSON allows for data types such as the floating-point, long, date, and many more that are not supported by regular JSON. MQL offers additional capabilities when compared to regular SQL making it more relevant for MongoDB as it processes JSON-type documents.
MongoDB is a NoSQL Server in which data is stored in BSON (Binary JSON) documents and each document is essentially built on a key-value pair structure. As MongoDB easily stores schemaless data, make it appropriate for capturing data whose structure is not known. This document-oriented approach is designed to offer a richer experience with modern programming techniques.
To install MongoDB click here.
Key Features of MongoDB
Main features of MongoDB which make it unique are:
1) High Performance
Data operations on MongoDB are fast and easy because of their NoSQL nature. Data can be quickly stored, manipulated, and retrieved without any compromise on data integrity.
In the Big Data era, MongoDB data can be distributed across a cluster of machines quickly and equally, free of bulkiness. The scalability of MongoDB handles a growing amount of data capably. Sharding is a process in MongoDB used to horizontally scale the data across multiple servers when the size of data increases.
Data is highly available with MongoDB as it makes multiple copies of the same data and sends copies of data across different servers. In case any server fails, data can be retrieved from another server without delay.
MongoDB can easily be combined with different Database Management Systems, both SQL and NoSQL types. Document-oriented structure makes MongoDB schema dynamically flexible and different types of data can be easily stored and manipulated.
To learn more about MongoDB, click this link.
Simplify MongoDB ETL with Hevo’s No-code Data Pipeline
A fully managed No-code Data Pipeline platform like Hevo Data helps you integrate and load data from 100+ different sources (including 40+ free sources) such as MongoDB to a Data Warehouse or Destination of your choice in real-time in an effortless manner. Hevo with its minimal learning curve can be set up in just a few minutes allowing the users to load data without having to compromise performance. Its strong integration with umpteenth sources allows users to bring in data of different kinds in a smooth fashion without having to code a single line.
Its completely automated pipeline offers data to be delivered in real-time without any loss from source to destination. Its fault-tolerant and scalable architecture ensure that the data is handled in a secure, consistent manner with zero data loss and supports different forms of data. The solutions provided are consistent and work with different Business Intelligence (BI) tools as well.Get Started with Hevo for Free
Check out why Hevo is the Best:
- Secure: Hevo has a fault-tolerant architecture that ensures that the data is handled in a secure, consistent manner with zero data loss.
- Schema Management: Hevo takes away the tedious task of schema management & automatically detects the schema of incoming data and maps it to the destination schema.
- Minimal Learning: Hevo, with its simple and interactive UI, is extremely simple for new customers to work on and perform operations.
- Hevo Is Built To Scale: As the number of sources and the volume of your data grows, Hevo scales horizontally, handling millions of records per minute with very little latency.
- Incremental Data Load: Hevo allows the transfer of data that has been modified in real-time. This ensures efficient utilization of bandwidth on both ends.
- Live Support: The Hevo team is available round the clock to extend exceptional support to its customers through chat, email, and support calls.
- Live Monitoring: Hevo allows you to monitor the data flow and check where your data is at a particular point in time.
What is the MongoDB Configuration File?
The MongoDB configuration file provides MongoDB database admins with numerous options and settings for controlling the operation of the database system.
A MongoDB configuration file can be used to configure mongod and mongos instances at startup. The MongoDB configuration file contains settings that are equivalent to the command-line options mongod and mongos.
Using a MongoDB configuration file simplifies the management of mongod and mongos options, especially in large-scale deployments.
How to Create the MongoDB Configuration File?
This section assumes that you have already installed MongoDB on your system. If you have installed MongoDB with the Brew package manager on macOS, MSI installer on Windows, or yum or apt on Linux, you will find that a default MongoDB configuration file has already been created.
- On Linux, the path to the MongoDB configuration file is located at:
- On macOS, the path to the MongoDB configuration file is located at:
/usr/local/etc/mongod.conf (on Intel processors)
/opt/homebrew/etc/mongod.conf (on Apple M1 processors)
- On Windows, the MongoDB configuration file is located at:
On Linux and macOS, you have to initialize the mongod daemon process for the MongoDB system as follows:
- On macOS, you can use the following command:
brew services start email@example.com
- On Linux, you can use either of the following commands:
sudo systemctl start mongod
sudo service mongod start
If you used a ZIP or TGZ file to install MongoDB, you will have to create your own MongoDB configuration file. A simple MongoDB configuration file can be found in the next section. After creating the file, you need to initialize your MongoDB instance using the –config or -f alias to mongod. For example,
- On Linux, the command for initialising MongoDB instance is:
mongod --config /etc/mongod.conf
mongod -f /etc/mongod.conf
How to Use the MongoDB Configuration File?
The following is an example of the default MongoDB configuration file that you will find on the paths listed above:
processManagement: fork: true net: bindIp: localhost port: 27017 storage: dbPath: /var/lib/mongodb systemLog: destination: file path: "/var/log/mongodb/mongod.log" logAppend: true storage: journal: enabled: true
As you can see, the MongoDB Configuration file adheres to the YAML format (a superset of JSON). The following is a brief explanation of the variables:
- fork is true; this setting enables the daemon mode for mongod allowing you to run the database as a conventional server.
- bindIp is localhost; using this setting forces the MongoDB server to only listen for requests coming from the localhost IP. You can use it to listen to other secure IPs.
- port is 27017; this is the default port used by MongoDB database instances. You can change the port to a custom one if you wish.
- quiet is true; this disables all but the most critical entries in the output/log file. For production deployments, you should set it to false.
- dbPath is /var/lib/mongodb; this setting specifies where MongoDB should store its files.
- systemLog.path is /var/log/mongodb/mongod.log; this is the path where mongod will write its output.
- logAppend is true; this ensures that mongod appends new log entries rather than overwriting existing ones during the server start operation.
- storage.journal.enabled is true; this enables journaling.
How to Customize the MongoDB Configuration Files?
To customize the MongoDB configuration file, use SPACE characters instead of TAB characters for indentation because YAML doesn’t support TAB characters.
1) Security Options
To limit access to your MongoDB instance, you can set the following options:
net: bindIp: localhost,10.8.0.10,192.168.4.24,/tmp/mongod.sock security: authorization: enabled
In the example above, you can see that there are four values to the bindIp variable, that are as follows:
- localhost: This is the localhost access interface.
- 10.8.0.10: This is a private IP address usually used for VPN and local network interfaces.
- 192.168.4.24: This is a private network interface normally used on local networks.
- /tmp/mongod.sock: This is a Unix domain socket path.
A replica set in MongoDB is a group of mongod processes that maintain the same data set. Replica sets provide redundancy and high data availability and are the basis for all production deployments.
The replication option is quite easy and only requires that the replSetName have a value that is consistent among all members of the set. You can consider the following:
replication: replSetName: set1
MongoDB uses sharding to split data across multiple server instances to support high throughput operations on large data sets.
To configure sharding on your MongoDB cluster, you need to configure config servers for storing metadata for the shared cluster and shards that store the data. To configure the config server instances, you can create a new MongoDB configuration file that specifies configsvr for the sharding.clusterRole setting as follows:
storage: dbPath: /var/lib/mongo/db/configdb journal: enabled: true systemLog: destination: file logAppend: true path: /var/lib/mongo/db/logs/configsvr.log net: port: 27002 bindIp: 10.8.0.12 sharding: clusterRole: configsvr replication: replSetName: ConfigReplSet
As you can see, the config servers must be deployed as a replicaset.
You also need to configure a query router as follows:
systemLog: destination: file logAppend: true path: /var/lib/mongo/db/logs/queryrouter.log net: port: 27011 bindIp: 10.8.0.17 sharding: configDB: ConfigReplSet/10.8.0.16:27015
To configure the shard servers, you can specify shardsvr for the sharding.clusterRole setting, and if you are running the shards as a replica set, then you should set the replica set name as well:
storage: dbPath: /var/lib/mongo/db/sharddb journal: enabled: true systemLog: destination: file logAppend: true path: /var/lib/mongo/db/logs/shard.log net: port: 27014 bindIp: 10.0.8.18 sharding: clusterRole: shardsvr replication: replSetName: ShardReplSet
4) Run Multiple MongoDB Instances on One System
During testing, you might need to run multiple MongoDB instances on your VM or local machine. This can be achieved by using a base configuration for each instance, but you can consider the following configuration values:
storage: dbPath: /var/lib/mongo/db1/ processManagement: pidFilePath: /var/lib/mongo/db1.pid
- The dbPath value specifies the location of the MongoDB instance’s data directory. Each database should have a distinct and well-labeled data directory.
- The pidFilePath on the other hand specifies where the mongod process stores it’s process id (PID) file.
In this article, you have learned about MongoDB Configuration Files. This article also provided information on MongoDB, its key features, creating MongoDB Configuration files, using MongoDB Configuration files and customizing MongoDB Configuration files in detail. For further information on MongoDB Replica Set Configuration, MongoDB Compass Windows Installation, MongoDB Count Method, you can visit the following links.
Hevo Data, a No-code Data Pipeline provides you with a consistent and reliable solution to manage data transfer between a variety of sources and a wide variety of Desired Destinations with a few clicks.Visit our Website to Explore Hevo
Hevo Data with its strong integration with 100+ data sources (including 40+ Free Sources) allows you to not only export data from your desired data sources & load it to the destination of your choice but also transform & enrich your data to make it analysis-ready. Hevo also allows integrating data from non-native sources using Hevo’s in-built Webhooks Connector. You can then focus on your key business needs and perform insightful analysis using BI tools.
Want to give Hevo a try?
Sign Up for a 14-day free trial and experience the feature-rich Hevo suite first hand. You may also have a look at the amazing price, which will assist you in selecting the best plan for your requirements.
Share your experience of understanding MongoDB Configuration Files in the comment section below! We would love to hear your thoughts.