Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
What is the equivalent of SQL “like” in MongoDB?
You can use “$regex” operator to implement the equivalent of SQL ‘like’ in MongoDB. To implement it, let us create a collection with a document. The query to create a collection with a document is as follows −
> db.sqlLikeDemo.insertOne({"UserName":"John Smith","UserAge":24});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c912e124afe5c1d2279d6a5")
}
> db.sqlLikeDemo.insertOne({"UserName":"John Doe","UserAge":21});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c912e264afe5c1d2279d6a6")
}
> db.sqlLikeDemo.insertOne({"UserName":"Chris Williams","UserAge":22});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c912e404afe5c1d2279d6a7")
}
> db.sqlLikeDemo.insertOne({"UserName":"Robert Taylor","UserAge":26});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c912e4d4afe5c1d2279d6a8")
}
> db.sqlLikeDemo.insertOne({"UserName":"John Brown","UserAge":27});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c912e6c4afe5c1d2279d6a9")
}
> db.sqlLikeDemo.insertOne({"UserName":"Mike Brown","UserAge":23});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c912e794afe5c1d2279d6aa")
}
> db.sqlLikeDemo.insertOne({"UserName":"Larry Smith","UserAge":24});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c912e8c4afe5c1d2279d6ab")
}Display all documents from a collection with the help of find() method. The query is as follows −
> db.sqlLikeDemo.find().pretty();
The following is the output −
{
"_id" : ObjectId("5c912e124afe5c1d2279d6a5"),
"UserName" : "John Smith",
"UserAge" : 24
}
{
"_id" : ObjectId("5c912e264afe5c1d2279d6a6"),
"UserName" : "John Doe",
"UserAge" : 21
}
{
"_id" : ObjectId("5c912e404afe5c1d2279d6a7"),
"UserName" : "Chris Williams",
"UserAge" : 22
}
{
"_id" : ObjectId("5c912e4d4afe5c1d2279d6a8"),
"UserName" : "Robert Taylor",
"UserAge" : 26
}
{
"_id" : ObjectId("5c912e6c4afe5c1d2279d6a9"),
"UserName" : "John Brown",
"UserAge" : 27
}
{
"_id" : ObjectId("5c912e794afe5c1d2279d6aa"),
"UserName" : "Mike Brown",
"UserAge" : 23
}
{
"_id" : ObjectId("5c912e8c4afe5c1d2279d6ab"),
"UserName" : "Larry Smith",
"UserAge" : 24
}Here is the query that works like SQL ‘like’ clause i.e. the record with “UserName” John −
> db.sqlLikeDemo.find({"UserName":{"$regex": "John"}}).pretty();The following is the output −
{
"_id" : ObjectId("5c912e124afe5c1d2279d6a5"),
"UserName" : "John Smith",
"UserAge" : 24
}
{
"_id" : ObjectId("5c912e264afe5c1d2279d6a6"),
"UserName" : "John Doe",
"UserAge" : 21
}
{
"_id" : ObjectId("5c912e6c4afe5c1d2279d6a9"),
"UserName" : "John Brown",
"UserAge" : 27
}
Updated on: 30-Jul-2019
206 Views
Advertisements