Just starting out with MongoDB and I'm curious about the equivalent of this SQL statement:
SELECT * FROM users WHERE CONCAT(firstName, ' ', lastName) LIKE CONCAT('Walter Whi', '%')
Just starting out with MongoDB and I'm curious about the equivalent of this SQL statement:
SELECT * FROM users WHERE CONCAT(firstName, ' ', lastName) LIKE CONCAT('Walter Whi', '%')
SQL's CONCAT operation can be compared to MongoDB's aggregate method, while SQL tables correspond to MongoDB documents. The SQL SELECT statement is similar to MongoDB's Projection method.
For example, in MongoDB you can use the following code snippet to concatenate first and last names for users and then filter by a specific first name:
db.users.aggregate( [ { $project: { userDescription: { $concat: [ "$firstName", " - ", "$lastName" ] } } }, { $match : { $firstName: "Walter Whi" } } ] )
If you need more information, please visit the following documentation link: https://docs.mongodb.com/manual/reference/operator/aggregation/match/
If you want to see a similar example, check out the following:
db.users.insert({name: 'paulo'})
db.users.insert({name: 'patric'})
db.users.insert({name: 'pedro'})
db.users.find({name: /a/}) //similar to '%a%' output: paulo, patric
db.users.find({name: /^pa/}) //similar to 'pa%' output: paulo, patric
db.users.find({name: /ro$/}) //similar to '%ro'
db.students.aggregate(
{ $project: {studentNo:"$studentNo" , name: { $concat: [ "$firstName", " ", "$lastName" ] },age:"$age"}},
{$match:{ "name":/Suraj/}})
The 'project' command is used to display all columns along with concatenating two columns and then searching for new records.
In MongoDB, Aggregation functions similarly to the 'where' and 'having' clauses in SQL.
For a more comprehensive understanding, refer to the MongoDB Aggregation documentation
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