SELECT 
  cscart_products.*, 
  cscart_product_descriptions.*, 
  MIN(
    IF(
      cscart_product_prices.percentage_discount = 0, 
      cscart_product_prices.price, 
      cscart_product_prices.price - (
        cscart_product_prices.price * cscart_product_prices.percentage_discount
      )/ 100
    )
  ) as price, 
  GROUP_CONCAT(
    CASE WHEN (
      cscart_products_categories.link_type = 'M'
    ) THEN CONCAT(
      cscart_products_categories.category_id, 
      'M'
    ) ELSE cscart_products_categories.category_id END 
    ORDER BY 
      cscart_categories.storefront_id IN (0, 1) DESC, 
      (
        cscart_products_categories.link_type = 'M'
      ) DESC, 
      cscart_products_categories.category_position ASC, 
      cscart_products_categories.category_id ASC
  ) as category_ids, 
  GROUP_CONCAT(
    CASE WHEN (
      cscart_products_tag_categories.link_type = 'M'
    ) THEN CONCAT(
      cscart_products_tag_categories.category_id, 
      'M'
    ) ELSE cscart_products_tag_categories.category_id END 
    ORDER BY 
      cscart_categories.storefront_id IN (0, 1) DESC, 
      (
        cscart_products_tag_categories.link_type = 'M'
      ) DESC, 
      cscart_products_tag_categories.category_position ASC, 
      cscart_products_tag_categories.category_id ASC
  ) as category_tag_ids, 
  popularity.total as popularity, 
  companies.company as company_name, 
  cscart_product_sales.amount as sales_amount, 
  cscart_seo_names.name as seo_name, 
  cscart_seo_names.path as seo_path, 
  MIN(point_prices.point_price) as point_price, 
  cscart_discussion.type as discussion_type, 
  cscart_product_review_prepared_data.average_rating average_rating, 
  cscart_product_review_prepared_data.reviews_count product_reviews_count, 
  ps.sold as sold 
FROM 
  cscart_products 
  LEFT JOIN cscart_product_prices ON cscart_product_prices.product_id = cscart_products.product_id 
  AND cscart_product_prices.lower_limit = 1 
  AND cscart_product_prices.usergroup_id IN (0, 0, 1) 
  LEFT JOIN cscart_product_descriptions ON cscart_product_descriptions.product_id = cscart_products.product_id 
  AND cscart_product_descriptions.lang_code = 'en' 
  LEFT JOIN cscart_companies as companies ON companies.company_id = cscart_products.company_id 
  INNER JOIN cscart_products_categories ON cscart_products_categories.product_id = cscart_products.product_id 
  LEFT JOIN cscart_products_tag_categories ON cscart_products_tag_categories.product_id = cscart_products.product_id 
  INNER JOIN cscart_categories ON cscart_categories.category_id = cscart_products_categories.category_id 
  AND cscart_categories.storefront_id IN (0, 1) 
  AND (
    cscart_categories.usergroup_ids = '' 
    OR FIND_IN_SET(
      0, cscart_categories.usergroup_ids
    ) 
    OR FIND_IN_SET(
      1, cscart_categories.usergroup_ids
    )
  ) 
  AND (
    cscart_products.usergroup_ids = '' 
    OR FIND_IN_SET(
      0, cscart_products.usergroup_ids
    ) 
    OR FIND_IN_SET(
      1, cscart_products.usergroup_ids
    )
  ) 
  AND cscart_categories.status IN ('A', 'H') 
  AND cscart_products.status IN ('A', 'H') 
  LEFT JOIN cscart_product_popularity as popularity ON popularity.product_id = cscart_products.product_id 
  LEFT JOIN cscart_product_sales ON cscart_product_sales.product_id = cscart_products.product_id 
  AND cscart_product_sales.category_id = 115 
  LEFT JOIN cscart_seo_names ON cscart_seo_names.object_id = 28374 
  AND cscart_seo_names.type = 'p' 
  AND cscart_seo_names.dispatch = '' 
  AND cscart_seo_names.lang_code = 'en' 
  LEFT JOIN cscart_product_point_prices as point_prices ON point_prices.product_id = cscart_products.product_id 
  AND point_prices.lower_limit = 1 
  AND point_prices.usergroup_id IN (0, 0, 1) 
  LEFT JOIN cscart_discussion ON cscart_discussion.object_id = cscart_products.product_id 
  AND cscart_discussion.object_type = 'P' 
  LEFT JOIN cscart_product_review_prepared_data ON cscart_product_review_prepared_data.product_id = cscart_products.product_id 
  AND cscart_product_review_prepared_data.storefront_id = 0 
  LEFT JOIN cscart_product_sold ps ON cscart_products.product_id = ps.product_id 
WHERE 
  cscart_products.product_id = 28374 
  AND (
    companies.status IN ('A') 
    OR cscart_products.company_id = 0
  ) 
GROUP BY 
  cscart_products.product_id

Query time 0.03823

JSON explain

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  "query_block": {
    "select_id": 1,
    "nested_loop": [
      {
        "table": {
          "table_name": "cscart_products",
          "access_type": "const",
          "possible_keys": ["PRIMARY", "status"],
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          "rows": 1,
          "filtered": 100
        }
      },
      {
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          "rows": 1,
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        }
      },
      {
        "table": {
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          "possible_keys": ["PRIMARY", "pa"],
          "key": "PRIMARY",
          "key_length": "6",
          "used_key_parts": ["category_id", "product_id"],
          "ref": ["const", "const"],
          "rows": 0,
          "filtered": 0,
          "unique_row_not_found": true
        }
      },
      {
        "table": {
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          ],
          "key": "product_id",
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        }
      },
      {
        "table": {
          "table_name": "cscart_product_descriptions",
          "access_type": "const",
          "possible_keys": ["PRIMARY", "product_id"],
          "key": "PRIMARY",
          "key_length": "11",
          "used_key_parts": ["product_id", "lang_code"],
          "ref": ["const", "const"],
          "rows": 1,
          "filtered": 100,
          "attached_condition": "trigcond(cscart_product_descriptions.lang_code = 'en')"
        }
      },
      {
        "table": {
          "table_name": "companies",
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          "possible_keys": ["PRIMARY"],
          "key": "PRIMARY",
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          "used_key_parts": ["company_id"],
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          "rows": 1,
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          "attached_condition": "trigcond(companies.`status` = 'A')"
        }
      },
      {
        "table": {
          "table_name": "cscart_products_categories",
          "access_type": "ref",
          "possible_keys": ["PRIMARY", "pt"],
          "key": "pt",
          "key_length": "3",
          "used_key_parts": ["product_id"],
          "ref": ["const"],
          "rows": 1,
          "filtered": 100
        }
      },
      {
        "table": {
          "table_name": "cscart_products_tag_categories",
          "access_type": "ref",
          "possible_keys": ["pt"],
          "key": "pt",
          "key_length": "3",
          "used_key_parts": ["product_id"],
          "ref": ["const"],
          "rows": 1,
          "filtered": 100
        }
      },
      {
        "table": {
          "table_name": "cscart_categories",
          "access_type": "eq_ref",
          "possible_keys": ["PRIMARY", "c_status", "p_category_id"],
          "key": "PRIMARY",
          "key_length": "3",
          "used_key_parts": ["category_id"],
          "ref": ["dev_db.cscart_products_categories.category_id"],
          "rows": 1,
          "filtered": 100,
          "attached_condition": "cscart_categories.storefront_id in (0,1) and (cscart_categories.usergroup_ids = '' or find_in_set(0,cscart_categories.usergroup_ids) or find_in_set(1,cscart_categories.usergroup_ids)) and cscart_categories.`status` in ('A','H')"
        }
      },
      {
        "table": {
          "table_name": "cscart_seo_names",
          "access_type": "ref",
          "possible_keys": ["PRIMARY", "dispatch"],
          "key": "PRIMARY",
          "key_length": "206",
          "used_key_parts": ["object_id", "type", "dispatch", "lang_code"],
          "ref": ["const", "const", "const", "const"],
          "rows": 1,
          "filtered": 100,
          "attached_condition": "trigcond(cscart_seo_names.`type` = 'p' and cscart_seo_names.dispatch = '' and cscart_seo_names.lang_code = 'en')"
        }
      },
      {
        "block-nl-join": {
          "table": {
            "table_name": "point_prices",
            "access_type": "range",
            "possible_keys": ["unique_key", "src_k"],
            "key": "unique_key",
            "key_length": "8",
            "used_key_parts": ["lower_limit", "usergroup_id", "product_id"],
            "rows": 1,
            "filtered": 100,
            "attached_condition": "point_prices.product_id = 28374 and point_prices.lower_limit = 1 and point_prices.usergroup_id in (0,0,1)"
          },
          "buffer_type": "flat",
          "buffer_size": "125Kb",
          "join_type": "BNL",
          "attached_condition": "trigcond(1) and trigcond(point_prices.product_id = 28374 and point_prices.lower_limit = 1 and point_prices.usergroup_id in (0,0,1))"
        }
      },
      {
        "table": {
          "table_name": "cscart_discussion",
          "access_type": "const",
          "possible_keys": ["object_id"],
          "key": "object_id",
          "key_length": "6",
          "used_key_parts": ["object_id", "object_type"],
          "ref": ["const", "const"],
          "rows": 1,
          "filtered": 100,
          "attached_condition": "trigcond(cscart_discussion.object_type = 'P')"
        }
      },
      {
        "table": {
          "table_name": "cscart_product_review_prepared_data",
          "access_type": "const",
          "possible_keys": ["PRIMARY"],
          "key": "PRIMARY",
          "key_length": "7",
          "used_key_parts": ["product_id", "storefront_id"],
          "ref": ["const", "const"],
          "rows": 1,
          "filtered": 100
        }
      },
      {
        "block-nl-join": {
          "table": {
            "table_name": "<derived2>",
            "access_type": "ALL",
            "rows": 12919,
            "filtered": 100,
            "attached_condition": "ps.product_id = 28374"
          },
          "buffer_type": "flat",
          "buffer_size": "53Kb",
          "join_type": "BNL",
          "attached_condition": "trigcond(ps.product_id = 28374)",
          "materialized": {
            "query_block": {
              "select_id": 2,
              "filesort": {
                "sort_key": "count(cscart_order_details.product_id) desc",
                "temporary_table": {
                  "nested_loop": [
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                      "table": {
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  }
}

Result

product_id product_code product_type status company_id list_price amount weight length width height shipping_freight low_avail_limit timestamp updated_timestamp usergroup_ids is_edp edp_shipping unlimited_download tracking free_shipping zero_price_action is_pbp is_op is_oper is_returnable return_period is_make_to_order make_period avail_since out_of_stock_actions localization min_qty max_qty qty_step list_qty_count tax_ids age_verification age_limit options_type exceptions_type details_layout shipping_params facebook_obj_type parent_product_id buy_now_url is_stock_split_by_warehouses is_fragile lang_code product shortname short_description full_description meta_keywords meta_description search_words page_title age_warning_message promo_text specification special_note punch_line selection chus_note about_brand why_chus purchasing_notice note_from_brand is_sync_seo_url price category_ids category_tag_ids popularity company_name sales_amount seo_name seo_path point_price discussion_type average_rating product_reviews_count sold
28374 10574_03 P A 592 0 999 500.000 0 0 0 0.00 0 1667375707 1724830069 0 N N N N N N N Y 10 Y 7 - 15 0 N N 0 default a:5:{s:16:"min_items_in_box";i:1;s:16:"max_items_in_box";i:1;s:10:"box_length";i:0;s:9:"box_width";i:0;s:10:"box_height";i:0;} 0 N N en Premium Cassava Noodles, 250g <p>The premium cassava noodles are made entirely from natural ingredients, with no preservatives or artificial additives, ensuring health safety while providing delicious meals for your family. In addition to being rich in carbohydrates, some vitamins and minerals, this is also gluten-free, which makes it suitable for a wider range of consumers. Therefore, this product will be a great alternative to rice noodles or egg noodles.</p> , Premium Cassava Noodles, 250g <p><strong>- Net weight:</strong> 250g</p> <p><strong>- Ingredients:</strong> 100% cassava flour, salt, water</p> <p><strong>1. Storage:</strong></p> <p>Store in cool and dry places, away from direct sunlight</p> <p><strong>2. Instructions:</strong></p> <p>- Cold water method: Soak noodles in cold water for 5 to 7 minutes, take it to dry.</p> <p>- Hot water method: Put noodles in boiling water. Bring it to boil again. Take the noodles out and run under cold water. Let it dry.</p> <p>- After preparing the noodles according to one of the two methods, mix with salads, enjoy with soup broth, or break into smaller pieces and deep fry for a crispy snack.</p> <p><strong>3. Expiry date:</strong> 18 months from manufacture day</p> Quang Nam Specialty | Vegetarian | Gluten-Free | No Preservatives | Safe For Health <p>With a length like regular spaghetti, you can comfortably use Premium Cassava Noodles to make Italian dishes or cook like regular noodle soup.</p> a:4:{s:17:"rs_brand_producer";a:5:{i:0;s:89:"Provides cassava noodles and cassava wrappers, specialties of Que Son, Quang Nam province";i:1;s:75:"Preserve and promote the traditional profession of making cassava products ";i:2;s:89:"Create a stable source of income for local people and improve the value of local products";i:3;s:61:"Products are suitable for vegetarians and gluten-free dieters";i:4;s:0:"";}s:14:"rs_ingredients";a:5:{i:0;s:25:"Cassava, beetroot, carrot";i:1;s:96:"Completely natural ingredients sourced at Que Son, Quang Nam Province and Central Highland areas";i:2;s:0:"";i:3;s:0:"";i:4;s:0:"";}s:14:"rs_manufacture";a:5:{i:0;s:45:"Manual traditional method aided by equipments";i:1;s:0:"";i:2;s:0:"";i:3;s:0:"";i:4;s:0:"";}s:17:"rs_certifications";a:5:{i:0;s:14:"HACCP Standard";i:1;s:36:"One Commune, One Product Certificate";i:2;s:0:"";i:3;s:0:"";i:4;s:0:"";}} In the 4 months of the rainy season (10, 11, 12, 1), the leading time will be about 7-15 days. 0 28080.0000 115M 6900 Caromi premium-cassava-noodles-250g 95/115 D 5.00 1