I have documents with the above mentioned schema.
authorId : 10
authorName: Joshua Bloch
books: {
{
bookId: 101
bookName: Effective Java
description : effective java book with useful recommendations
Category: 1
sales: {
{
keyword: effective java
count: 200
},
{
keyword: java tips
count: 100
},
{
keyword: java joshua bloch
count: 50
}
}
createDate: 08-25-2014
},
{
bookId: 102,
bookName: Java Puzzlers
description : Java Puzzlers: Traps, Pitfalls, and Corner Cases
Category: 2
sales: {
{
keyword: java puzzlers
count: 100
},
{
keyword: joshua bloch puzzler
count: 50
}
}
}
}
The sales information is stored with each book along with the search query
that lead to that sales. If the user applied a category filter, I would
like to count only books that belong to that category.
I would like to sort the list of authors returned based on a function of
sales data and text match. For eg if the search query is "java" I would
like to return the above mentioned doc and all other author documents which
has the term "java" in them. I came up with the following query:
{
"query": {
"function_score": {
"boost_mode": "replace",
"query": {
"match": { "bookName":"java"}
},
"script_score": {
"params": {
"param1": 2
},
"script": "doc['books.sales.count'].isEmpty() ? _score :
_score * doc['books.sales.count'].value * param1 "
}
}
}
}
I have few questions with the query i have above
1. The results dont look sorted by sales. I have authors who dont have any
books with sales in them at the top
2. How do i use the sum of all sales for an author (across all books within
the author document) in the script ? Is there a sum function for the nested
fields inside a document when using script_score ? Note that sales is a
nested field inside another nested field products.
3. As a next step I would also like to use a filter for keyword within the
script_score to only include sales whose keyword value matches with the
search query term
Any help would be much appreciated.
Thanks
Srini
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