Retrieve data from MongoDB using a REST GET method that allows for searching based on specific criteria in

Currently, I have a Node.js server set up with Express and Mongoose. My goal is to implement a search functionality using the GET method based on specific criteria provided as a JSON object. Can anyone assist me in implementing this feature?

Alternatively, should I consider using POST or PUT for this purpose instead?

Answer №1

https://website/model?param1=1&param2=2

router.route('/model')
    .get(function (req, res, next) {
        req.query.param1 === 1 // returns true
        req.query.param2 === 2 // returns true
     });

Answer №2

If you find yourself unsure about which HTTP VERB to utilize,

POST - is mainly employed for generating new resources on the server

PUT - is leveraged for modifying existing resources

GET- is ideal for fetching a specific resource

In this scenario, I would opt for using the GET method

GET http://myhost.com?q=word1+word2+word3+word4

app.get('*', function(req, res) {
   // perform actions with the req.query.q array
});

Answer №3

There are two different approaches available to you - one involves using HTTP GET parameters, while the other entails encoding the entire criteria as a JSON string and then passing this string.

The first option utilizes params:

?crit[foo.bar][$eq]=abc&crit[foo.baz][$ne]=def

In nodejs/express, you can access this data via req.query.crit. However, it's important to note that this method has its drawbacks - namely, the inability to preserve data types. For instance, a number like 1 may be converted into a string like "1". Avoid using this method since MongoDB is sensitive to data types, meaning that a query like {"foo.bar":{$eq:1}} differs significantly from {"foo.bar":{$eq:"1"}}.

The second option involves URL-encoding JSON criteria:

?critJSON=%7B%22foo.bar%22%3A%7B%22%24eq%22%3A%20%22abc%22%7D%2C%22foo.baz%22%3A%7B%22%24ne%22%3A%20%22def%22%7D%7D

You can then parse this on the nodejs/express side:

var crit = JSON.parse(req.query.critJSON)

This approach ensures that your data types remain intact and will function as expected.

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