Elasticsearch searching and sorting across 2 models - elasticsearch

Question

I have 2 models: Products and Skus, where a Product has one or more Skus, and a Sku belongs to exactly one Product. They have the following columns:
Product: id, title, content, category_id
Sku: id, product_id, price
I'd like to be able to display 48 products per page across various search and sort configurations, but I'm having trouble translating this to elasticsearch.
For example, it's not clear to me how I would search on title while sorting the relevant results by the lowest-priced Sku for each Product. I've tried a few different things, and closest has been to index everything as belonging to the Sku, then searching like so:
size: '48',
aggs: {
group_by_product: {
terms: { field: 'product_id' }
}
},
filter: {
and: [{
bool: {
must: { range: { price: { gte: 0, lte: 50 } } }
},{
bool: {
must: { terms: { category_id: [ 1, 2, 3, 4, 5, 6 ] } }
}
}]
},
query: {
fuzzy_like_this: {
fields: [ 'title', 'content' ],
like_text: 'Chair',
fuzziness: 1
}
}
But this gives 48 matching Skus, many of which belong to the same Product, so my pagination is off if I try to combine them after the search.
What would be the best way to handle this use case?
Update
Trying with the nested method, using the following structure:
{
size: '48',
query:
{ bool:
{ should:
{ fuzzy_like_this:
{ fields: [ 'title' ],
like_text: 'chair',
fuzziness: 1 },
},
{ must:
{ nested:
{ path: 'skus',
query:
{ bool:
{ must: { range: { price: { gte: 0, lte: 100 } } }
}
}
}
}
}
}
},
sort:
{ _score: 'asc',
'skus.price':
{ nested_path: 'skus',
nested_filter:
{ range: { 'skus.price': { gte: 0, lte: 100 } } },
order: 'asc',
mode: 'min'
}
}
}
This is likely closer, but still not sure how to format it. The above gives products ordered by price, but seems to completely disregard the search field.

Answer 1

Since paginating aggregation results is not possible, even though the approach of including the sku inside the product is a good one, I would go with nested objects depending on the requirements for queries.
As an example query:
GET /product/test/_search
{
"query": {
"bool": {
"must": [
{
"match": {
"title": {
"query": "whatever",
"fuzziness": 1,
"prefix_length": 3
}
}
},
{
"nested": {
"path": "skus",
"query": {
"range": {
"skus.price": {
"gte": 11,
"lte": 50
}
}
}
}
}
]
}
},
"sort": [
{
"skus.price": {
"nested_path": "skus",
"order": "asc",
"mode": "min"
}
}
]
}