SELECT 
  cscart_ult_product_descriptions.product_id, 
  cscart_ult_product_descriptions.short_description, 
  IF(
    cscart_ult_product_descriptions.short_description = "", 
    cscart_ult_product_descriptions.full_description, 
    ""
  ) AS full_description, 
  cscart_ult_product_descriptions.meta_keywords, 
  cscart_ult_product_descriptions.meta_description, 
  cscart_ult_product_descriptions.search_words, 
  cscart_ult_product_descriptions.promo_text 
FROM 
  cscart_ult_product_descriptions 
WHERE 
  cscart_ult_product_descriptions.product_id IN (
    3104, 3107, 6682, 6678, 104, 105, 106, 
    107, 108, 109, 110, 4013, 4014, 4015, 
    4016, 4017, 4018, 4019, 3105, 6677, 
    6686, 64, 118, 224, 225, 285, 3975, 4027, 
    4108, 4109, 4170, 4223, 203, 204, 205, 
    206, 207, 208, 209, 4087, 4088, 4089, 
    4090, 4091, 4092, 4093, 3122, 6675
  ) 
  AND cscart_ult_product_descriptions.company_id = 1 
  AND cscart_ult_product_descriptions.lang_code = 'en'

Query time 0.00079

JSON explain

{
  "query_block": {
    "select_id": 1,
    "cost_info": {
      "query_cost": "37.86"
    },
    "table": {
      "table_name": "cscart_ult_product_descriptions",
      "access_type": "range",
      "possible_keys": [
        "PRIMARY",
        "product_id",
        "company_id"
      ],
      "key": "PRIMARY",
      "used_key_parts": [
        "product_id",
        "lang_code",
        "company_id"
      ],
      "key_length": "13",
      "rows_examined_per_scan": 48,
      "rows_produced_per_join": 48,
      "filtered": "100.00",
      "index_condition": "((`gaseus`.`cscart_ult_product_descriptions`.`company_id` = 1) and (`gaseus`.`cscart_ult_product_descriptions`.`product_id` in (3104,3107,6682,6678,104,105,106,107,108,109,110,4013,4014,4015,4016,4017,4018,4019,3105,6677,6686,64,118,224,225,285,3975,4027,4108,4109,4170,4223,203,204,205,206,207,208,209,4087,4088,4089,4090,4091,4092,4093,3122,6675)) and (`gaseus`.`cscart_ult_product_descriptions`.`lang_code` = 'en'))",
      "cost_info": {
        "read_cost": "33.06",
        "eval_cost": "4.80",
        "prefix_cost": "37.86",
        "data_read_per_join": "183K"
      },
      "used_columns": [
        "product_id",
        "lang_code",
        "company_id",
        "short_description",
        "full_description",
        "meta_keywords",
        "meta_description",
        "search_words",
        "promo_text"
      ]
    }
  }
}