Equal and Not Equal to QBE Operators

Learn to use QBE operators _eq, and _ne to filter specific data from the car racing dataset through simple examples.

Consider a scenario where you would like to fetch the details of a specific team. You can use the _eq QBE operator compare if the name is equal to the specific team's name you are looking for, and fetch details of that exact team:

Example 3-3 _eq Operator

SELECT JSON_SERIALIZE(data PRETTY) AS data FROM GRAPHQL('
    team (
        check: {
            name: {_eq: "Ferrari"}
        }
    ) {
        id: team_id
        name
        points
    }
');

This code would access the table team, fetches the id, name and points only for the team named "Ferrari":

DATA                                                                           
--------------------------------------------------------------------------------
{                                                                              
  "id" : 302,                                                                  
  "name" : "Ferrari",                                                          
  "points" : 652                                                               
}                                                                              
                                                                                 
 
1 row selected.

You can also use the simplified quality syntax, which just uses name: "Ferrari" instead of name: {_eq: "Ferrari"} which would still produce the same output:

SELECT JSON_SERIALIZE(data PRETTY) AS data FROM GRAPHQL('
    team (
        check: {
            name: "Ferrari"
        }
    ) {
        id: team_id
        name
        points
    }
');

Or you may want to fetch details of the team named "McLaren Mercedes". Further, you would like to find the drivers in the team other than "Oscar Piastri".

Example 3-4 _ne Operator

SELECT JSON_SERIALIZE(data PRETTY) AS data FROM GRAPHQL('
    team (
        check: {
            name: "McLaren Mercedes"
        }
    ){
        id: team_id
        name
        points
        drivers: driver (
            check: {
                name: {_ne: "Oscar Piastri"}
            }
        ) {
            name
            points
        }
    }
');

The example uses two filters, first one to filter the team based on the team's name and second one to identify the driver names which is not equal to "Oscar Piastri" :

DATA                                                                           
--------------------------------------------------------------------------------
{                                                                              
  "id" : 301,                                                                  
  "name" : "McLaren Mercedes",                                                 
  "points" : 666,                                                              
  "drivers" :                                                                  
  [                                                                            
    {                                                                          
      "name" : "Lando Norris",                                                 
      "points" : 282                                                           
    }                                                                          
  ]                                                                            
}                                                                              
                                                                                 
 
1 row selected.