Connecting to MongoDB

The MongoClient class is used to connect to the MongoDB database. It allows you to connect to MongoDB (connect method) and disconnect (comparative approach), as well as select the database (method chosen) and the collection to communicate with (select collection method).
The connection is standard:
// Connect to mongodb
$con = new MongoClient();
// select the test database
$con-> test;
We could also select the database by using the selectDB method:
$con-> selectDB(test);
Also, it would be the same as installing the database in the console using the use test command.
Once the work is done, we can close the connection using the comparative method. In principle, MongoDB can automatically close connections that do not work. However, it may be necessary to complete the link explicitly under certain conditions, such as establishing a new relationship immediately.
$con = new MongoClient();
$con-> test;
$con-> close();
By installing the dd, you can select the collection:
// Connect to mongodb
$con = new MongoClient();
// select the test database and the person's collection
$con-> test -> persons;
Either we can explicitly apply the selectCollection method
$con-> selectDB(test)-> selectCollection(persons);
Even if the collection does not yet exist, we add a document to it using the mongo console. In this circumstance, it was made automatically. In PHP, it’s the same. Also, we’ve now established a connection to the person’s collection. And even if it does not exist, it will be created if we add some data to it later.
Another method that the MongoClient class has is the listings method. It allows us to get all databases in MongoDB:
$con = new MongoClient();
print_r($con-> listDBs());
This method returns data in an associative array format:
Array
(
[databases] => Array
(
[0] => Array
(
[name] => local
[sizeOnDisk] => 83886080
[empty] =>
)
[1] => Array
(
[name] => test
[sizeOnDisk] => 218103808
[empty] =>
)
)
[totalSize] => 301989888
[ok] => 1
)
Similarly, using the listCollections method, we can obtain all collections in a particular database:
$con = new MongoClient();
$list= $con-> test-> listCollections();
foreach ($list as $collection) {
echo "<p>" . $collection . "</p>";
}
If we just want the names of all collections, we can use the getCollectionNames() method:
$con = new MongoClient();
$list= $con-> test-> getCollectionNames();
foreach ($list as $collection) {
echo "<p>" . $collection . "</p>";
}
About Enteros
Enteros offers a patented database performance management SaaS platform. It proactively identifies root causes of complex business-impacting database scalability and performance issues across a growing number of RDBMS, NoSQL, and machine learning database platforms.
The views expressed on this blog are those of the author and do not necessarily reflect the opinions of Enteros Inc. This blog may contain links to the content of third-party sites. By providing such links, Enteros Inc. does not adopt, guarantee, approve, or endorse the information, views, or products available on such sites.
Are you interested in writing for Enteros’ Blog? Please send us a pitch!
RELATED POSTS
From Data to Delivery: How Enteros Transforms D2C Brands Through Database Performance and Cloud FinOps
- 6 October 2025
- Database Performance Management
Introduction In the fast-evolving world of Direct-to-Consumer (D2C) brands, agility and performance are everything. D2C businesses thrive on personalization, speed, and customer trust — all of which depend on how efficiently data flows through their systems. Behind every product recommendation, every smooth checkout, and every on-time delivery is a complex network of databases, cloud infrastructure, … Continue reading “From Data to Delivery: How Enteros Transforms D2C Brands Through Database Performance and Cloud FinOps”
How Enteros AI Performance and Data Lake Optimization Are Powering Innovation in the Fashion Industry
Introduction The fashion industry, once ruled by instinct and creativity alone, is now undergoing a seismic transformation driven by data and artificial intelligence (AI). From forecasting trends to managing supply chains and customer experiences, data-driven insights are redefining how fashion brands operate. Central to this digital shift is the use of AI-driven performance management and … Continue reading “How Enteros AI Performance and Data Lake Optimization Are Powering Innovation in the Fashion Industry”
When Booking Systems Freeze: The Hidden IT Challenge Behind Aviation Disruptions
Behind every on-time departure, there’s an invisible network of data systems working in sync.But when that synchronization breaks — even for a few seconds — the result can ground entire fleets. The Hidden Digital Backbone of Aviation Today’s airlines and airport operators depend on complex ecosystems that process millions of real-time transactions per minute: Flight … Continue reading “When Booking Systems Freeze: The Hidden IT Challenge Behind Aviation Disruptions”
How Enteros AIOps and Generative AI Are Powering the Cloud Center of Excellence for Modern Banking
- 5 October 2025
- Database Performance Management
Introduction The modern banking industry is being reshaped by digital innovation. Artificial Intelligence (AI), automation, and cloud computing are no longer optional — they are the driving forces behind operational efficiency, customer personalization, and financial growth. Amid this technological transformation, banks are building Cloud Centers of Excellence (CCoE) to unify their cloud strategies, improve governance, … Continue reading “How Enteros AIOps and Generative AI Are Powering the Cloud Center of Excellence for Modern Banking”