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 (
    1770, 1771, 1772, 1773, 1774, 1775, 1776, 
    1777, 1778, 1779, 1780, 1781, 1782, 
    1783, 1784, 1785, 1786, 1787, 1788, 
    1789, 1790, 1791, 1792, 1793, 1794, 
    1795, 1796, 1797, 1798, 1799, 1800, 
    1801, 1802, 1803, 1804, 1805, 1806, 
    1807, 1808, 1809, 1810, 1811, 1812, 
    1813, 1814, 1815, 1816, 1817
  ) 
  AND cscart_ult_product_descriptions.company_id = 1 
  AND cscart_ult_product_descriptions.lang_code = 'en'

Query time 0.00098

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 (1770,1771,1772,1773,1774,1775,1776,1777,1778,1779,1780,1781,1782,1783,1784,1785,1786,1787,1788,1789,1790,1791,1792,1793,1794,1795,1796,1797,1798,1799,1800,1801,1802,1803,1804,1805,1806,1807,1808,1809,1810,1811,1812,1813,1814,1815,1816,1817)) 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"
      ]
    }
  }
}