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, 
  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 = 'vi' 
  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 = 201 
  LEFT JOIN cscart_seo_names ON cscart_seo_names.object_id = 47198 
  AND cscart_seo_names.type = 'p' 
  AND cscart_seo_names.dispatch = '' 
  AND cscart_seo_names.lang_code = 'vi' 
  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 = 47198 
  AND (
    companies.status IN ('A') 
    OR cscart_products.company_id = 0
  ) 
GROUP BY 
  cscart_products.product_id

Query time 0.03873

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"],
          "key": "PRIMARY",
          "key_length": "3",
          "used_key_parts": ["product_id"],
          "ref": ["const"],
          "rows": 1,
          "filtered": 100
        }
      },
      {
        "table": {
          "table_name": "popularity",
          "access_type": "const",
          "possible_keys": ["PRIMARY", "total"],
          "key": "PRIMARY",
          "key_length": "3",
          "used_key_parts": ["product_id"],
          "ref": ["const"],
          "rows": 1,
          "filtered": 100
        }
      },
      {
        "table": {
          "table_name": "cscart_product_sales",
          "access_type": "const",
          "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": {
          "table_name": "cscart_product_prices",
          "access_type": "ref",
          "possible_keys": [
            "usergroup",
            "product_id",
            "lower_limit",
            "usergroup_id"
          ],
          "key": "product_id",
          "key_length": "3",
          "used_key_parts": ["product_id"],
          "ref": ["const"],
          "rows": 1,
          "filtered": 100,
          "attached_condition": "trigcond(cscart_product_prices.lower_limit = 1 and cscart_product_prices.usergroup_id in (0,0,1))"
        }
      },
      {
        "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 = 'vi')"
        }
      },
      {
        "table": {
          "table_name": "companies",
          "access_type": "eq_ref",
          "possible_keys": ["PRIMARY"],
          "key": "PRIMARY",
          "key_length": "4",
          "used_key_parts": ["company_id"],
          "ref": ["const"],
          "rows": 1,
          "filtered": 100,
          "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": 2,
          "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_products_tag_categories",
          "access_type": "ref",
          "possible_keys": ["pt"],
          "key": "pt",
          "key_length": "3",
          "used_key_parts": ["product_id"],
          "ref": ["const"],
          "rows": 4,
          "filtered": 100
        }
      },
      {
        "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 = 'vi')"
        }
      },
      {
        "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": 12545,
            "filtered": 100,
            "attached_condition": "ps.product_id = 47198"
          },
          "buffer_type": "flat",
          "buffer_size": "126Kb",
          "join_type": "BNL",
          "attached_condition": "trigcond(ps.product_id = 47198)",
          "materialized": {
            "query_block": {
              "select_id": 2,
              "filesort": {
                "sort_key": "count(cscart_order_details.product_id) desc",
                "temporary_table": {
                  "nested_loop": [
                    {
                      "table": {
                        "table_name": "cscart_order_details",
                        "access_type": "index",
                        "key": "o_k",
                        "key_length": "6",
                        "used_key_parts": ["order_id", "product_id"],
                        "rows": 12545,
                        "filtered": 100,
                        "using_index": true
                      }
                    }
                  ]
                }
              }
            }
          }
        }
      }
    ]
  }
}

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 discussion_type average_rating product_reviews_count sold
47198 10759_04 P A 793 0 999 1000.000 0 0 0 0.00 0 1702013229 1726651451 0 N N N N N N N Y 10 N 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:25;s:9:"box_width";i:15;s:10:"box_height";i:5;} 0 N N vi Cloud Shaped Wooden Numbers Set, Intellectual Toy, Stimulates Thinking, Unique Toy Set, Smart Wooden Toy <p>Để tập cho bé nhận biết các con số cũng như kích thích khả năng tư duy của bé, Tân Mộc mang đến bộ đồ chơi gỗ học số từ 1-10 độc đáo. Các con số sẽ được khắc laze rõ nét trên những mảnh gỗ mộc hình đám mây, cùng các “viên” đếm bằng len nỉ mềm. Bé yêu có thể vừa cầm nắm để tập cảm nhận, vừa học số và tập đếm dễ hơn với bộ đồ chơi này đấy.</p> , Cloud Shaped Wooden Numbers Set, Intellectual Toy, Stimulates Thinking, Unique Toy Set, Smart Wooden Toy Cloud Shaped Wooden Numbers Set - Tân Mộc | CHUS <p>- Kích thước: 22 x 8 x 1.5cm</p> <p>- Trọng lượng: 300g</p> <p>- Chất liệu: Gỗ tự nhiên, len nỉ</p> <p>- Số lượng chi tiết: 22 chi tiết (1 bảng, 10 đám mây, 10 hạt len nỉ, 1 túi vải)</p> <p>Lưu ý:</p> <p>- Bảo quản ở nơi khô ráo</p> <p>- Khuyến khích chơi trên thảm</p> <p>- Không để trẻ cắn, gặm đồ chơi</p> Đồ Chơi Bằng Gỗ | Đồ Chơi Cho Trẻ | Thủ Công | Sáng Tạo | Đồ Chơi Giáo Dục | Kích Thích Sáng Tạo <p>1. Mây màu đỏ </p><p>2. Mây màu cam </p><p>3. Mây màu vàng</p><p>4. Mây màu xanh lá cây</p><p>5. Mây màu xanh dương</p><p>6. Mây màu tím</p> a:4:{s:17:"rs_brand_producer";a:5:{i:0;s:35:"Đồ chơi giáo dục bằng gỗ";i:1;s:43:"Kích thích tư duy sáng tạo cho trẻ ";i:2;s:50:"Giúp cha mẹ và bé cùng học và gắn kết";i:3;s:0:"";i:4;s:0:"";}s:14:"rs_ingredients";a:5:{i:0;s:69:"Gỗ tự nhiên nhập khẩu, đã qua xử lý chống mối mọt";i:1;s:27:"Sơn gốc nước an toàn";i:2;s:0:"";i:3;s:0:"";i:4;s:0:"";}s:14:"rs_manufacture";a:5:{i:0;s:25:"Máy móc và thủ công";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:0:"";i:1;s:0:"";i:2;s:0:"";i:3;s:0:"";i:4;s:0:"";}} 0 229000.0000 201M,201M,201M,201M,211,211,211,211 467M,467M,440,440,448,448,510,510 3783 Tân Mộc bo-do-choi-go-cho-be-hoc-so-hinh-dam-may 107/201 D 0