Doing partial search with mongoose - node.js

Question

I'm trying to get Mongoose to return results in a query when I only give a partial query. For example: I have a 'Company' schema that lists a bunch of companies. A document example:
{
"_id" : ObjectId("57aabeb80057405968de1539"),
"companyName" : "Vandelay Industries",
"owner" : "Ary Vandelay",
"inception" : 2012,
"__v" : 1
}
So if I do a search query like this:
Company.findOne(
{ companyName: Vandelay Industries }, function (err, company) {
if (company) {
//do stuff
}
});
This will produce the document. But If I do the following, I won't get a result:
Company.findOne(
{ companyName: Vandelay }, function (err, company) {
if (company) {
//do stuff
}
});
I would like to be able to do these sorts of partial searches and still get a result. Is there any way to do that with Mongoose?

Answer 1

In order to achieve this you can use a regex search to get the required result.
var searchKey = new RegExp('Vandelay', 'i')
Company.findOne({ companyName: searchKey }, function (err, company) {
if (company) {
//do stuff
}
});
Refer this stackoverflow post.

Answer 2

You can use this query to get result on specific value
Company.findOne({"companyName": /Vandelay/},function(err,company){
if(!err){
console.log(company);
}
});

Answer 3

To get result faster you should use indexing ref https://docs.mongodb.com/manual/text-search/.
db.Company.createIndex( { companyName: "text" } )
then you can search
db.Company.find( { $text: { $search: "company name" } } )
But this only support full word search not partial, so adding an extra line to this will help
db.Company.find({ $or: [
{ $text: { $search: query } },
{ companyName: { $regex: '^' + 'copmany name'} }
]}
This will help you search the results faster than normal

Answer 4

Are you doing a fulltext search? If you do that:
TagGroup.find({
$text: {
$search: text
}
}, {
score: {
$meta: "textScore"
}
}).sort({
score: {
$meta: 'textScore'
}
})
Try that code below. Also you need create a index on that schema
TagGroupSchema.index({
"$**": "text"
});
Here is the document
You can use elasticsearch to do that either, when the documents grows, you should consider this way.