Query time 0.00061
JSON explain
{
"query_block": {
"select_id": 1,
"cost_info": {
"query_cost": "2.53"
},
"ordering_operation": {
"using_temporary_table": true,
"using_filesort": true,
"nested_loop": [
{
"table": {
"table_name": "cscart_categories",
"access_type": "range",
"possible_keys": [
"c_status",
"id_path"
],
"key": "id_path",
"used_key_parts": [
"id_path"
],
"key_length": "767",
"rows_examined_per_scan": 1,
"rows_produced_per_join": 0,
"filtered": "5.00",
"index_condition": "(`webmarco`.`cscart_categories`.`id_path` like '2910/2916/3453/%')",
"cost_info": {
"read_cost": "2.40",
"eval_cost": "0.01",
"prefix_cost": "2.41",
"data_read_per_join": "303"
},
"used_columns": [
"category_id",
"parent_id",
"id_path",
"company_id",
"usergroup_ids",
"status",
"product_count",
"position",
"is_trash",
"storefront_id"
],
"attached_condition": "(((`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` = 'A') and (`webmarco`.`cscart_categories`.`storefront_id` in (0,1)))"
}
},
{
"table": {
"table_name": "cscart_category_descriptions",
"access_type": "eq_ref",
"possible_keys": [
"PRIMARY"
],
"key": "PRIMARY",
"used_key_parts": [
"category_id",
"lang_code"
],
"key_length": "9",
"ref": [
"webmarco.cscart_categories.category_id",
"const"
],
"rows_examined_per_scan": 1,
"rows_produced_per_join": 0,
"filtered": "100.00",
"cost_info": {
"read_cost": "0.05",
"eval_cost": "0.01",
"prefix_cost": "2.47",
"data_read_per_join": "208"
},
"used_columns": [
"category_id",
"lang_code",
"category"
]
}
},
{
"table": {
"table_name": "cscart_seo_names",
"access_type": "ref",
"possible_keys": [
"PRIMARY",
"dispatch"
],
"key": "PRIMARY",
"used_key_parts": [
"object_id",
"type",
"dispatch",
"lang_code"
],
"key_length": "206",
"ref": [
"webmarco.cscart_categories.category_id",
"const",
"const",
"const"
],
"rows_examined_per_scan": 1,
"rows_produced_per_join": 0,
"filtered": "100.00",
"cost_info": {
"read_cost": "0.05",
"eval_cost": "0.01",
"prefix_cost": "2.53",
"data_read_per_join": "86"
},
"used_columns": [
"name",
"object_id",
"company_id",
"type",
"dispatch",
"path",
"lang_code"
]
}
}
]
}
}
}