SELECT 
  cscart_products_categories.product_id, 
  GROUP_CONCAT(
    IF(
      cscart_products_categories.link_type = "M", 
      CONCAT(
        cscart_products_categories.category_id, 
        "M"
      ), 
      cscart_products_categories.category_id
    )
  ) AS category_ids 
FROM 
  cscart_products_categories 
  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_categories.status IN ('A', 'H') 
WHERE 
  cscart_products_categories.product_id IN (
    149042, 149050, 149051, 149052, 149053, 
    149054, 149055, 149056, 149057, 149058, 
    149059, 149060, 149061, 149062, 149063, 
    149064, 149065, 149066, 149067, 149068, 
    149069, 149070, 149071, 149072, 149073, 
    149074, 149075, 149076, 149077, 149078, 
    149079, 149080, 149081, 149082, 149083, 
    149084, 149085, 149086, 149087, 149088, 
    149089, 149090, 149091, 149092, 149093, 
    149094, 149095, 149096, 149097, 149098, 
    149099
  ) 
GROUP BY 
  cscart_products_categories.product_id

Query time 0.00105

JSON explain

{
  "query_block": {
    "select_id": 1,
    "cost_info": {
      "query_cost": "82.68"
    },
    "grouping_operation": {
      "using_filesort": false,
      "nested_loop": [
        {
          "table": {
            "table_name": "cscart_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": 51,
            "rows_produced_per_join": 51,
            "filtered": "100.00",
            "using_index": true,
            "cost_info": {
              "read_cost": "11.28",
              "eval_cost": "10.20",
              "prefix_cost": "21.48",
              "data_read_per_join": "816"
            },
            "used_columns": [
              "product_id",
              "category_id",
              "link_type"
            ],
            "attached_condition": "(`webmarco`.`cscart_products_categories`.`product_id` in (149042,149050,149051,149052,149053,149054,149055,149056,149057,149058,149059,149060,149061,149062,149063,149064,149065,149066,149067,149068,149069,149070,149071,149072,149073,149074,149075,149076,149077,149078,149079,149080,149081,149082,149083,149084,149085,149086,149087,149088,149089,149090,149091,149092,149093,149094,149095,149096,149097,149098,149099))"
          }
        },
        {
          "table": {
            "table_name": "cscart_categories",
            "access_type": "eq_ref",
            "possible_keys": [
              "PRIMARY",
              "c_status",
              "p_category_id"
            ],
            "key": "PRIMARY",
            "used_key_parts": [
              "category_id"
            ],
            "key_length": "3",
            "ref": [
              "webmarco.cscart_products_categories.category_id"
            ],
            "rows_examined_per_scan": 1,
            "rows_produced_per_join": 2,
            "filtered": "5.00",
            "cost_info": {
              "read_cost": "51.00",
              "eval_cost": "0.51",
              "prefix_cost": "82.68",
              "data_read_per_join": "15K"
            },
            "used_columns": [
              "category_id",
              "usergroup_ids",
              "status",
              "storefront_id"
            ],
            "attached_condition": "((`webmarco`.`cscart_categories`.`storefront_id` in (0,1)) and ((`webmarco`.`cscart_categories`.`usergroup_ids` = '') or find_in_set(0,`webmarco`.`cscart_categories`.`usergroup_ids`) or find_in_set(1,`webmarco`.`cscart_categories`.`usergroup_ids`)) and (`webmarco`.`cscart_categories`.`status` in ('A','H')))"
          }
        }
      ]
    }
  }
}