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 (
    1411, 1412, 1413, 1414, 1415, 1416, 5107, 
    5108, 5109, 5110, 5111, 5112, 5113, 
    5114, 5115, 5116, 5117, 5118, 5119, 
    5120, 5121, 5122, 5123, 5124, 5125, 
    5126, 5127, 5128, 5129, 5130, 340, 341, 
    342, 343, 344, 345, 346, 412, 413, 414, 
    1366, 1367, 1368, 1369, 1370, 1371, 
    1372, 1373
  ) 
  AND cscart_ult_product_descriptions.company_id = 1 
  AND cscart_ult_product_descriptions.lang_code = 'en'

Query time 0.00114

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 (1411,1412,1413,1414,1415,1416,5107,5108,5109,5110,5111,5112,5113,5114,5115,5116,5117,5118,5119,5120,5121,5122,5123,5124,5125,5126,5127,5128,5129,5130,340,341,342,343,344,345,346,412,413,414,1366,1367,1368,1369,1370,1371,1372,1373)) 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"
      ]
    }
  }
}