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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 | 7x 7x 7x 7x 7x 7x | import mongoose, { Document, Schema } from 'mongoose';
const companySchema: Schema = new mongoose.Schema({
company: {
type: String,
required: true,
},
company_he: {
type: String,
required: true,
},
tags: [
{
type: String,
required: true,
}
],
quizzes: [
{
title: {
type: String,
required: true,
},
quiz_id: {
type: Number,
required: true,
},
tags: [
{
type: String,
required: true,
}
],
content: {
type: String,
required: true,
},
forum_link: {
type: String,
required: false,
},
}
]
}, { timestamps: true, strict: true, versionKey: false });
companySchema.set('toJSON', {
transform: (doc: Document, ret: Record<string, any>) => {
return {
id: ret._id,
company: ret.company,
company_he: ret.company_he,
tags: ret.tags,
quizzes: ret.quizzes,
}
}
});
// Add indexes to CompanySchema
companySchema.index({ tags: 1 }); // For efficient matching on company tags
companySchema.index({ 'quizzes.tags': 1 }); // For efficient matching on quiz tags in subdocuments
// For content fields, consider a text index if you want to search for *words* within them.
// If you create the text index, you must then change the search logic to use $text operator.
// A regular index (like { 'quizzes.content': 1 }) will NOT accelerate $regexMatch.
// For `$regexMatch` performance, only a collection scan or a dedicated full-text search works.
companySchema.index(
{
'quizzes.content': 'text',
},
{
name: 'quiz_content_text_index',
weights: {
'quizzes.content': 10, // Give more weight to content
}
}
);
export const CompanyModel = mongoose.model('Companies', companySchema); |