Help understanding boolean query and boosting?

Elastic Stack Elasticsearch
1

So I'm doing some self training in my lab. I wanted to create a query looking for value A in field A OR value B in field B and return all records that met that either criteria. Value A is type long and value B is text

I've been trying to use match, multi_match, and boolean filters.

This doesn't work:

GET index/_search
{
   "query" : {
      "match" : {
          "fieldA" : valueA,
          "fieldB" : "valueB"
      }
   }
}

neither does this:

GET index/_search
{
   "query" : {
      "multi_match" : {
          "query" : "valueA valueB",
          "fields" : ["fieldA", "fieldB"]
      }
   }
}

This works:

GET index/_search
{
  "_source": ["fieldA","fieldB"], 
  "size": 500, 
  "query": {
    "bool": {
      "should": [
        {"match": {
          "fieldA": valueA
        }},
        {"match": {
          "fieldB": "valueB"
        }
        }
      ]
    }
  }
}

But there are times where fieldB results get a higher score than fieldA results. So I'm trying to figure out where and how to put boosts. The docs only have the boosts after the entire boolean query, so if I want to adjust the score, do I need to do the following?

GET index/_search
{
  "_source": ["fieldA","fieldB"], 
  "size": 500, 
  "query": {
    "bool": {
      "should": [
        {"match": {
          "fieldA": valueA
        }}
      ],
     "should": [   
     {"match": {
          "fieldB": "valueB"
        }
        },
     < where do I add a boost? >
      ]
    }
  }
}

Thanks

2

Hi @reswob

Try this:

{
  "_source": [
    "fieldA",
    "fieldB"
  ],
  "size": 500,
  "query": {
    "bool": {
      "minimum_should_match": 1, 
      "should": [
        {
          "match": {
            "fieldA": {
              "query": "valueA",
              "boost": 1 <----
            }
          }
        },
        {
          "match": {
            "fieldB": {
              "query": "valueB",
              "boost": 10 <----
            }
          }
        }
      ]
    }
  }
}
3

That worked great! Marked as solution.

Thanks.

4

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