SELECT 
  cscart_seo_names.object_id AS product_id, 
  cscart_seo_names.name AS seo_name, 
  cscart_seo_names.path AS seo_path 
FROM 
  cscart_seo_names 
WHERE 
  cscart_seo_names.object_id IN (
    419, 418, 417, 416, 415, 414, 413, 412, 
    411, 410, 409, 407, 406, 405, 403, 404, 
    402, 401, 278, 280, 282, 247, 248, 241, 
    244, 245, 246, 240, 6, 66, 166, 214, 219, 
    221, 223, 192, 194, 195, 196, 197, 198, 
    199, 200, 201, 202, 203, 204, 205, 206, 
    207, 208, 209, 210, 211, 212, 213, 215, 
    217, 218, 220, 222, 224, 225, 226, 227, 
    228, 229, 230, 231, 232, 233, 234, 235, 
    236, 237, 238, 239, 242, 243, 78, 79, 
    80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 
    90, 91, 92, 93, 94
  ) 
  AND cscart_seo_names.type = "p" 
  AND cscart_seo_names.dispatch = "" 
  AND cscart_seo_names.lang_code = 'en'

Query time 0.00240

JSON explain

{
  "query_block": {
    "select_id": 1,
    "cost_info": {
      "query_cost": "265.41"
    },
    "table": {
      "table_name": "cscart_seo_names",
      "access_type": "range",
      "possible_keys": [
        "PRIMARY",
        "dispatch"
      ],
      "key": "PRIMARY",
      "used_key_parts": [
        "object_id",
        "type",
        "dispatch",
        "lang_code"
      ],
      "key_length": "206",
      "rows_examined_per_scan": 121,
      "rows_produced_per_join": 121,
      "filtered": "100.00",
      "index_condition": "((`danishecarter_latest`.`cscart_seo_names`.`object_id` in (419,418,417,416,415,414,413,412,411,410,409,407,406,405,403,404,402,401,278,280,282,247,248,241,244,245,246,240,6,66,166,214,219,221,223,192,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,215,217,218,220,222,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,242,243,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94)) and (`danishecarter_latest`.`cscart_seo_names`.`type` = 'p') and (`danishecarter_latest`.`cscart_seo_names`.`dispatch` = '') and (`danishecarter_latest`.`cscart_seo_names`.`lang_code` = 'en'))",
      "cost_info": {
        "read_cost": "241.21",
        "eval_cost": "24.20",
        "prefix_cost": "265.41",
        "data_read_per_join": "205K"
      },
      "used_columns": [
        "name",
        "object_id",
        "type",
        "dispatch",
        "path",
        "lang_code"
      ]
    }
  }
}