Query ElasticSearch for documents with terms matching exclusively

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1

I was porting a SQL query on ElasticSearch.

The query needs to substitute an IN clause.

Following this link I implemented the IN this way:

{
  "size": 1,
  "query": {
    "constant_score": {
      "filter": {
        "bool": {
          "must": [
            {
              "terms": {
                "products.flights.legs.hops.hopFlight.airlineId": [
                  "ib",
                  "lh"
                ]
              }
            }
          ]
        }
      }
    }
  }
}

It is working but probably I have a special case: you see, the hops field in the document is an array, so for a flight with one stop we have two hops.

In that case this query works even when just one of the two hops has ib or lh. It matches a document even when only one of the two hops has one of the airlines and the other hop is a different airline, not include in my terms.

I actually want to return only documents that, as airlineId, have only ib or lh or a combination of both.

Is it possible to do it?

2

I don't quite understand what exactly you are trying to achieve and without seeing your mapping and test data it's a bit difficult to show a concrete solution, but take a look at the terms set query. I might be wrong, but I think this is what you are looking for.

3

Hello Igor,
I'll try to be more clear. Let's say I have these documents:

Document A

{
  "group" : "fans",
  "hops" : [ 
    {
      "airlineId" : "ih",
      "last" :  "Smith"
    },
    {
      "airlineId" : "u2",
      "last" :  "White"
    }
  ]
}

Document B

{
  "group" : "fans",
  "user" : [ 
    {
      "airlineId" : "lh",
      "last" :  "Smith"
    },
    {
      "airlineId" : "lh",
      "last" :  "White"
    }
  ]
}

Document C

{
  "group" : "fans",
  "user" : [ 
    {
      "airlineId" : "ib",
      "last" :  "Smith"
    },
    {
      "airlineId" : "lh",
      "last" :  "White"
    }
  ]
}

If I execute the query

{
  "size": 3,
  "query": {
    "constant_score": {
      "filter": {
        "bool": {
          "must": [
            {
              "terms": {
                "products.flights.legs.hops.hopFlight.airlineId": [
                  "ib",
                  "lh"
                ]
              }
            }
          ]
        }
      }
    }
  }
}

the result will be: Document A, Document B and Document C.

What I actually want is just Document B and Document C because they include hops with just ib, lh or both of them, the document with u2 it's not correct for my use case.

I think that the problem is in the index I'm using which is:

"airlineId": {
    "type": "string",
    "analyzer": "just_lowercase",
    "ignore_above": 10922
    }

which is simple string, but at the moment I cannot change it.

4

You will probably need to add an additional field with a de-duped list of airline ids from all hops and then use terms set query on it.

5

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