SELECT 
  products_categories.product_id, 
  GROUP_CONCAT(
    IF(
      products_categories.link_type = "M", 
      CONCAT(
        products_categories.category_id, 
        "M"
      ), 
      products_categories.category_id
    )
  ) AS category_ids 
FROM 
  products_categories 
  INNER JOIN categories ON categories.category_id = products_categories.category_id 
  AND categories.storefront_id IN (0, 1) 
  AND (
    categories.usergroup_ids = '' 
    OR FIND_IN_SET(0, categories.usergroup_ids) 
    OR FIND_IN_SET(1, categories.usergroup_ids)
  ) 
  AND categories.status IN ('A', 'H') 
WHERE 
  products_categories.product_id IN (
    212190, 213341, 204738, 213340, 204740, 
    311173, 315133, 323613, 410174, 327013, 
    468818, 317773, 370573, 423934, 439778, 
    382453, 407534, 328333, 363213, 426014, 
    374533, 392254, 338893, 409414, 439218, 
    367173, 462218, 360013, 368493, 474098, 
    369813, 414134, 474858, 390374, 410734, 
    421294, 488058, 324373, 373213, 451098, 
    414694, 429974, 495218, 442418, 357373, 
    443738, 311733, 312493
  ) 
GROUP BY 
  products_categories.product_id

Query time 0.00166

JSON explain

{
  "query_block": {
    "select_id": 1,
    "cost_info": {
      "query_cost": "50.92"
    },
    "grouping_operation": {
      "using_filesort": false,
      "nested_loop": [
        {
          "table": {
            "table_name": "products_categories",
            "access_type": "range",
            "possible_keys": [
              "PRIMARY",
              "link_type",
              "pt"
            ],
            "key": "pt",
            "used_key_parts": [
              "product_id"
            ],
            "key_length": "3",
            "rows_examined_per_scan": 92,
            "rows_produced_per_join": 92,
            "filtered": "100.00",
            "using_index": true,
            "cost_info": {
              "read_cost": "9.52",
              "eval_cost": "9.20",
              "prefix_cost": "18.72",
              "data_read_per_join": "1K"
            },
            "used_columns": [
              "product_id",
              "category_id",
              "link_type"
            ],
            "attached_condition": "(`goimagine`.`products_categories`.`product_id` in (212190,213341,204738,213340,204740,311173,315133,323613,410174,327013,468818,317773,370573,423934,439778,382453,407534,328333,363213,426014,374533,392254,338893,409414,439218,367173,462218,360013,368493,474098,369813,414134,474858,390374,410734,421294,488058,324373,373213,451098,414694,429974,495218,442418,357373,443738,311733,312493))"
          }
        },
        {
          "table": {
            "table_name": "categories",
            "access_type": "eq_ref",
            "possible_keys": [
              "PRIMARY",
              "c_status",
              "p_category_id"
            ],
            "key": "PRIMARY",
            "used_key_parts": [
              "category_id"
            ],
            "key_length": "3",
            "ref": [
              "goimagine.products_categories.category_id"
            ],
            "rows_examined_per_scan": 1,
            "rows_produced_per_join": 4,
            "filtered": "5.00",
            "cost_info": {
              "read_cost": "23.00",
              "eval_cost": "0.46",
              "prefix_cost": "50.92",
              "data_read_per_join": "12K"
            },
            "used_columns": [
              "category_id",
              "usergroup_ids",
              "status",
              "storefront_id"
            ],
            "attached_condition": "((`goimagine`.`categories`.`storefront_id` in (0,1)) and ((`goimagine`.`categories`.`usergroup_ids` = '') or (0 <> find_in_set(0,`goimagine`.`categories`.`usergroup_ids`)) or (0 <> find_in_set(1,`goimagine`.`categories`.`usergroup_ids`))) and (`goimagine`.`categories`.`status` in ('A','H')))"
          }
        }
      ]
    }
  }
}