SELECT 
  q_abt__yt_microdata.id, 
  q_abt__yt_microdata.field, 
  q_abt__yt_microdata_description.value 
FROM 
  q_abt__yt_microdata 
  INNER JOIN q_abt__yt_microdata_description ON q_abt__yt_microdata_description.id = q_abt__yt_microdata.id 
  AND q_abt__yt_microdata_description.lang_code = 'en' 
WHERE 
  q_abt__yt_microdata.company_id = 0 
ORDER BY 
  q_abt__yt_microdata.id ASC

Query time 0.00037

JSON explain

{
  "query_block": {
    "select_id": 1,
    "cost_info": {
      "query_cost": "3.20"
    },
    "ordering_operation": {
      "using_filesort": false,
      "nested_loop": [
        {
          "table": {
            "table_name": "q_abt__yt_microdata",
            "access_type": "index",
            "possible_keys": [
              "PRIMARY"
            ],
            "key": "PRIMARY",
            "used_key_parts": [
              "id"
            ],
            "key_length": "3",
            "rows_examined_per_scan": 5,
            "rows_produced_per_join": 1,
            "filtered": "20.00",
            "cost_info": {
              "read_cost": "1.80",
              "eval_cost": "0.20",
              "prefix_cost": "2.00",
              "data_read_per_join": "776"
            },
            "used_columns": [
              "id",
              "company_id",
              "field"
            ],
            "attached_condition": "(`portal`.`q_abt__yt_microdata`.`company_id` = 0)"
          }
        },
        {
          "table": {
            "table_name": "q_abt__yt_microdata_description",
            "access_type": "eq_ref",
            "possible_keys": [
              "PRIMARY"
            ],
            "key": "PRIMARY",
            "used_key_parts": [
              "id",
              "lang_code"
            ],
            "key_length": "9",
            "ref": [
              "portal.q_abt__yt_microdata.id",
              "const"
            ],
            "rows_examined_per_scan": 1,
            "rows_produced_per_join": 1,
            "filtered": "100.00",
            "cost_info": {
              "read_cost": "1.00",
              "eval_cost": "0.20",
              "prefix_cost": "3.20",
              "data_read_per_join": "784"
            },
            "used_columns": [
              "id",
              "value",
              "lang_code"
            ]
          }
        }
      ]
    }
  }
}