Below is my dictionary

abc = [
{'id':"1",  'name': 'cristiano ronaldo', 'description': '[email protected]'},
{'id':"2",  'name': 'lionel messi', 'description': '[email protected]'},
{'id':"3",  'name': 'Lionel Jr', 'description': '[email protected]'}
]

Ingested the players into elasticsearch

for i in abc:
    es.index(index="players", body=i, id=i['id'])

Below is the dsl query

resp = es.search(index="players",body={
  "query": {
    "query_string": {
       "fields": ["id^12","description^2", "name^2"], 
      "query": "[email protected]"
    }
  }})
resp

• Issue 1: if "fields": ["id^12","description^2", "name^2"] then i am getting error RequestError: RequestError(400, 'search_phase_execution_exception', 'failed to create query: For input string: "[email protected]"'

• Issue 2: if my fields are ["description^2", "name^2"] I am expecting one document which contain [email protected] but returning all 3 documents

Edited: From the comment of sagar my setting id was long which i changed now . mapping is below. and issue1 is resolved

{'players': {'mappings': {'properties': {'description': {'type': 'text',
     'fields': {'keyword': {'type': 'keyword', 'ignore_above': 256}}},
    'id': {'type': 'text',
     'fields': {'keyword': {'type': 'keyword', 'ignore_above': 256}}},
    'name': {'type': 'text',
     'fields': {'keyword': {'type': 'keyword', 'ignore_above': 256}}}}}}}

CodePudding user response：

Issue 1: if "fields": ["id^12","description^2", "name^2"] then i am getting error RequestError: RequestError(400, 'search_phase_execution_exception', 'failed to create query: For input string: "[email protected]"'

Above issue you are getting because your id field is define as integer or flot type of field (other then text type of field). You need to provide "lenient": true in your query and it will not return any exception.

Issue 2: if my fields are ["description^2", "name^2"] I am expecting one document which contain [email protected] but returning all 3 documents

Above issue is happening because you are searching on text type of field which applied default standard analyzer when you do search.

So when you search [email protected] then it will create two token brazil and fifa.com. Here, fifa.com is matching in your all 3 documents so it is returning in result. To resolved this issue, you can use description.keyword field.

Below query will resolved your both issue:

{
  "query": {
    "query_string": {
      "lenient": true, 
      "fields": [
        "id^12",
        "description.keyword^2",
        "name^2"
      ],
      "query": "[email protected]"
    }
  }
}

Updated:

Based on comment if you want to search fifa as well then you need to provide description as field but when you search [email protected] then you need to provide it in double quotes for exact match. Please see below example:

{
  "query": {
    "query_string": {
      "lenient": true, 
      "fields": [
        "id^12",
        "description^2",
        "name^2"
      ],
      "query": "\"[email protected]\""
    }
  }
}