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 (
    6710, 1721, 1722, 1723, 1724, 1725, 1726, 
    1727, 1728, 1729, 1730, 1731, 1732, 
    1733, 1734, 1735, 1736, 1737, 1738, 
    1739, 1740, 1741, 1742, 1743, 1744, 
    1745, 1746, 1747, 1748, 1749, 1750, 
    1751, 1752, 1753, 1754, 1755, 1756, 
    1757, 1758, 1759, 1760, 1761, 1762, 
    1763, 1764, 1766, 1767, 1768
  ) 
  AND cscart_ult_product_descriptions.company_id = 1 
  AND cscart_ult_product_descriptions.lang_code = 'en'

Query time 0.00108

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 (6710,1721,1722,1723,1724,1725,1726,1727,1728,1729,1730,1731,1732,1733,1734,1735,1736,1737,1738,1739,1740,1741,1742,1743,1744,1745,1746,1747,1748,1749,1750,1751,1752,1753,1754,1755,1756,1757,1758,1759,1760,1761,1762,1763,1764,1766,1767,1768)) 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"
      ]
    }
  }
}