Elasticsearch Query on multiple object fields of an Array of Objects - node.js

Question

I have a product document that looks like this:
{
"_index": "productss",
"_type": "_doc",
"_id": "2fb60b1880f0251af4340af009",
"_score": 5.0262785,
"_source": {
"prepTime": {
"durationType": "Min",
"value": 8,
"imageUrl": ""
},
"shopId": "CCXow8ALRDrALRSKFC",
"productTimings": [
{
"startHour": 8,
"endHour": 9,
"startMin": 30,
"endMin": 45,
"dayOfWeek": [
"Mon",
"Tue",
"Wed",
"Thu",
"Fri"
]
},
{
"startHour": 16,
"endHour": 18,
"startMin": 30,
"endMin": 45,
"dayOfWeek": [
"Sat",
"Sun"
]
}
]
}
}
My model looks like this.
const mongoosastic = require('mongoosastic');
const { Schema } = mongoose;
const Timing = new Schema({
startHour: { type: Number, es_indexed: true },
endHour: { type: Number, es_indexed: true },
startMin: { type: Number, es_indexed: true },
endMin: { type: Number, es_indexed: true },
dayOfWeek: [{ type: String, es_indexed: true }],
});
const productsSchema = mongoose.Schema({
_id: { type: String },
prepTime : {
durationType : { type: String, es_indexed: true },
value : { type: Number, es_indexed: true },
imageUrl : { type: String, es_indexed: true }
},
shopId: { type: String, es_indexed: true },
productTimings: {
type: [Timing],
es_indexed: true,
es_type: 'nested',
es_include_in_parent: true,
}
});
productsSchema.plugin(mongoosastic);
module.exports = mongoose.model('Products', productsSchema, 'Products');
I need to fetch all products whose startHours:Startminute is less than the current time and endHour:endMinute is less than the current time. It should also match the dayOfWeek from current date.
Note that, there could be a morning slot and a evening slot in the productTimings.
I have tried the following and got this far, but cannot proceed further:
prodDetails = await client.search({
index: 'productss',
body:
{
query:
{
bool: {
must: [
{ match: { shopId } },
{
"nested": {
"path": "productTimings",
"query": {
"range": {
"productTimings.startHour": {
"lte": 12,
}
},
"range": {
"productTimings.endHour":{
"gte": 11,
}
}
}
}
}
]
}
}
},
},
from: pageno * size,
size,
});```

Answer 1

You were almost there but the query was heavily malformed.
Try this — I've adapted it to match the sample document from above:
const body = {
size,
from: pageno * size,
"query": {
"bool": {
"must": [
{
"match": { shopId }
},
{
"nested": {
"path": "productTimings",
"query": {
"bool": {
"must": [
{
"range": {
"productTimings.startHour": {
"gte": 8
}
}
},
{
"range": {
"productTimings.endHour": {
"lte": 9
}
}
},
{
"match": {
"productTimings.dayOfWeek": "Fri"
}
}
]
}
}
}
}
]
}
}
}
prodDetails = await client.search({
index: 'productss',
body: body
})
💡 Tip: I'd recommend using a term query instead of match. Even before that, I'd convert the shopId and dayOfWeek to keywords. When they're mapped as String (= text), they'll be lowercased by the standard analyzer — and you don't want that. You likely want case-sensitive, exact matches that the keyword mapping guarantees.