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What is the process for searching keywords in MongoDB using node.js?

asked 2022-01-26 11:00:00 +0000

bukephalos gravatar image

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answered 2021-10-28 09:00:00 +0000

woof gravatar image

The process for searching keywords in MongoDB using node.js is as follows:

  1. Connect to the MongoDB database using the mongodb module in node.js.
const MongoClient = require('mongodb').MongoClient;
const url = 'mongodb://localhost:27017/mydatabase';

MongoClient.connect(url, function(err, db) {
  if (err) throw err;
  console.log('Database created!');
  db.close();
});
  1. Once you have connected to the database, you can search for data using the find() method. This method takes a query object as its argument that specifies the search criteria.
db.collection('myCollection').find({ title: 'The Great Gatsby' }).toArray(function(err, result) {
  if (err) throw err;
  console.log(result);
  db.close();
});

This query will find all documents in the myCollection collection where the title field is equal to 'The Great Gatsby'. The toArray() method is used to convert the search results into an array.

  1. You can also search for data using regular expressions in the query object. For example, to search for all documents where the title field contains the word 'Gatsby', you can use the following:
db.collection('myCollection').find({ title: /Gatsby/ }).toArray(function(err, result) {
  if (err) throw err;
  console.log(result);
  db.close();
});
  1. You can also search for data using the $or operator in the query object. For example, to search for all documents where the title field is either 'The Great Gatsby' or 'To Kill a Mockingbird', you can use the following:
db.collection('myCollection').find({ $or: [ { title: 'The Great Gatsby' }, { title: 'To Kill a Mockingbird' } ] }).toArray(function(err, result) {
  if (err) throw err;
  console.log(result);
  db.close();
});

This query will find all documents in the myCollection collection where the title field is either 'The Great Gatsby' or 'To Kill a Mockingbird'.

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Asked: 2022-01-26 11:00:00 +0000

Seen: 8 times

Last updated: Oct 28 '21