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mysql如何簡單定位慢查詢并分析SQL執(zhí)行效率

 更新時間:2025年04月27日 08:58:16   作者:_小魚塘  
這篇文章主要介紹了mysql如何簡單定位慢查詢并分析SQL執(zhí)行效率,具有很好的參考價值,希望對大家有所幫助,如有錯誤或未考慮完全的地方,望不吝賜教

實際的日常開發(fā)工作中可能會遇到某個新功能在測試時需要很久才返回結(jié)果,這時就應該分析是不是慢查詢導致的,如果確實有慢查詢,就需要來學習怎么找到慢查詢和怎么分析 SQL 執(zhí)行效率?

定位慢 SQL 有如下兩種解決方案:

  • 查看慢查詢?nèi)罩敬_定已經(jīng)執(zhí)行完的慢查詢
  • show processlist 查看正在執(zhí)行的慢查詢

定位到慢查詢語句后,可以通過 explain、show profile 和 trace 等診斷工具來分析慢查詢

一、如何開啟并找到慢查詢?nèi)罩荆?/h2>

如果需要使用慢查詢?nèi)罩?,一般分為四步?/p>

開啟慢查詢?nèi)罩?、設(shè)置慢查詢閥值、確定慢查詢?nèi)罩韭窂?、確定慢查詢?nèi)罩镜奈募?/p>

涉及到的命令如下:

set global slow_query_log = on;
set global long_query_time = 1;
show global variables like "datadir";
show global variables like "slow_query_log_file";

二、mysqldumpslow工具分析慢查詢

如果覺得系統(tǒng)自帶的慢查詢?nèi)罩静环奖悴榭?,也可以使用mysqldumpslow 等工具對慢查詢?nèi)罩具M行分析;

mysqldumpslow經(jīng)常使用的參數(shù):

-s,是order的順序

  • ----- al 平均鎖定時間
  • -----ar 平均返回記錄時間
  • -----at 平均查詢時間(默認)
  • -----c 計數(shù)
  • -----l 鎖定時間
  • -----r 返回記錄
  • -----t 查詢時間

-t,是top n的意思,即為返回前面多少條的數(shù)據(jù)

-g,后邊可以寫一個正則匹配模式,大小寫不敏感的

基本命令如下:

mysqldumpslow -t 10 -s t -g “l(fā)eft join” slow.log

三、show processlist

  • show processlist 命令判斷正在執(zhí)行的慢查詢。
  • show processlist 顯示哪些線程正在運行。
  • 如果有 PROCESS 權(quán)限,則可以看到所有線程。
  • 否則,只能看到當前會話的線程;

四、使用 explain 分析慢查詢

定位到慢查詢語句后,我們就要開始分析 SQL 執(zhí)行效率了;

簡單的數(shù)據(jù)準備工作:

CREATE DATABASE test;           
use test;                       
drop table if exists t1;        

CREATE TABLE `t1` (            
 `id` int NOT NULL auto_increment,
  `a` int DEFAULT NULL,
  `b` int DEFAULT NULL,
  `create_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '記錄創(chuàng)建時間',
  `update_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '記錄更新時間',
  PRIMARY KEY (`id`),
  KEY `idx_a` (`a`),
  KEY `idx_b` (`b`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;	

drop procedure if exists insert_t1; 
delimiter ;;
create procedure insert_t1()        
begin
  declare i int;                    
  set i=1;                          
  while(i<=1000)do                  
    insert into t1(a,b) values(i, i); 
    set i=i+1;                      
  end while;
end;;
delimiter ;                 
call insert_t1();           

drop table if exists t2;    
create table t2 like t1;    
insert into t2 select * from t1;  

explain分析結(jié)果:

explain返回結(jié)果各字段說明:

列名解釋
id查詢編號
select_type查詢類型:顯示本行是簡單還是復雜查詢
table涉及到的表
partitions匹配的分區(qū):查詢將匹配記錄所在的分區(qū)。僅當使用 partition 關(guān)鍵字時才顯示該列。對于非分區(qū)表,該值為 NULL。
type本次查詢的表連接類型
possible_keys可能選擇的索引
key實際選擇的索引
key_len被選擇的索引長度:一般用于判斷聯(lián)合索引有多少列被選擇了
ref與索引比較的列
rows預計需要掃描的行數(shù),對 InnoDB 來說,這個值是估值,并不一定準確
filtered按條件篩選的行的百分比
Extra附加信息

其中 select_type、type、key、rows、Extra 是重點關(guān)注項;

五、show profile 分析慢查詢

在 MySQL 數(shù)據(jù)庫中,通過 profile,能夠更清楚地了解 SQL 執(zhí)行過程的資源使用情況,如何使用 profile 分析慢查詢,

大致步驟是:

  • 確定這個 MySQL 版本是否支持 profile;
  • 確定 profile 是否關(guān)閉;開啟 profile;
  • 執(zhí)行 SQL(查看執(zhí)行完 SQL 的 query id;
  • 通過 query id 查看 SQL 的每個狀態(tài)及耗時時間)

具體操作如下:

相關(guān)命令:

select @@have_profiling;
select @@profiling;
set profiling=1;

相關(guān)命令:

select * from t1 where b=1000;
show profiles;
show profile for query 1;

六、trace 分析 SQL 優(yōu)化器

如果需要使用,先開啟 trace,設(shè)置格式為 JSON,再執(zhí)行需要分析的 SQL,最后查看 trace 分析結(jié)果(在 information_schema.OPTIMIZER_TRACE 中)

開啟該功能,會對 MySQL 性能有所影響,因此只建議分析問題時臨時開啟;

該語句使用的是 b 字段的索引 idx_b。實際表 t1 中,a、b 兩個字段都有索引,為什么條件中有這兩個索引字段卻偏偏選了 b 字段的索引呢?這時就可以使用 trace 進行分析

1 手動開啟trace

set session optimizer_trace="enabled=on",end_markers_in_json=on;

2 執(zhí)行sql查詢

select * from t1 where a >900 and b > 910 order  by a;

執(zhí)行結(jié)果如下:

------+------+------+---------------------+---------------------+
| id   | a    | b    | create_time         | update_time         |
+------+------+------+---------------------+---------------------+
|  911 |  911 |  911 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  912 |  912 |  912 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  913 |  913 |  913 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  914 |  914 |  914 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  915 |  915 |  915 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  916 |  916 |  916 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  917 |  917 |  917 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  918 |  918 |  918 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  919 |  919 |  919 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  920 |  920 |  920 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  921 |  921 |  921 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  922 |  922 |  922 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  923 |  923 |  923 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  924 |  924 |  924 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  925 |  925 |  925 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  926 |  926 |  926 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  927 |  927 |  927 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  928 |  928 |  928 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  929 |  929 |  929 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  930 |  930 |  930 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  931 |  931 |  931 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  932 |  932 |  932 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  933 |  933 |  933 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  934 |  934 |  934 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  935 |  935 |  935 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  936 |  936 |  936 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  937 |  937 |  937 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  938 |  938 |  938 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  939 |  939 |  939 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  940 |  940 |  940 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  941 |  941 |  941 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  942 |  942 |  942 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  943 |  943 |  943 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  944 |  944 |  944 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  945 |  945 |  945 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  946 |  946 |  946 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  947 |  947 |  947 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  948 |  948 |  948 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  949 |  949 |  949 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  950 |  950 |  950 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  951 |  951 |  951 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  952 |  952 |  952 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  953 |  953 |  953 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  954 |  954 |  954 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  955 |  955 |  955 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  956 |  956 |  956 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  957 |  957 |  957 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  958 |  958 |  958 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  959 |  959 |  959 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  960 |  960 |  960 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  961 |  961 |  961 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  962 |  962 |  962 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  963 |  963 |  963 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  964 |  964 |  964 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  965 |  965 |  965 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  966 |  966 |  966 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  967 |  967 |  967 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  968 |  968 |  968 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  969 |  969 |  969 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  970 |  970 |  970 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  971 |  971 |  971 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  972 |  972 |  972 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  973 |  973 |  973 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  974 |  974 |  974 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  975 |  975 |  975 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  976 |  976 |  976 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  977 |  977 |  977 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  978 |  978 |  978 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  979 |  979 |  979 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  980 |  980 |  980 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  981 |  981 |  981 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  982 |  982 |  982 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  983 |  983 |  983 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  984 |  984 |  984 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  985 |  985 |  985 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  986 |  986 |  986 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  987 |  987 |  987 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  988 |  988 |  988 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  989 |  989 |  989 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  990 |  990 |  990 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  991 |  991 |  991 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  992 |  992 |  992 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  993 |  993 |  993 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  994 |  994 |  994 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  995 |  995 |  995 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  996 |  996 |  996 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  997 |  997 |  997 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  998 |  998 |  998 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
|  999 |  999 |  999 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
| 1000 | 1000 | 1000 | 2023-06-26 02:16:08 | 2023-06-26 02:16:08 |
+------+------+------+---------------------+---------------------+

3 查看 trace 分析結(jié)果

SELECT * FROM information_schema.OPTIMIZER_TRACE\G

查詢結(jié)果如下圖所示:

*************************** 1. row ***************************
                            QUERY: select * from t1 where a >900 and b > 910 order  by a
                            TRACE: {
  "steps": [
    {
      "join_preparation": {
        "select#": 1,
        "steps": [
          {
            "expanded_query": "/* select#1 */ select `t1`.`id` AS `id`,`t1`.`a` AS `a`,`t1`.`b` AS `b`,`t1`.`create_time` AS `create_time`,`t1`.`update_time` AS `update_time` from `t1` where ((`t1`.`a` > 900) and (`t1`.`b` > 910)) order by `t1`.`a`"
          }
        ] /* steps */
      } /* join_preparation */
    },
    {
      "join_optimization": {
        "select#": 1,
        "steps": [
          {
            "condition_processing": {
              "condition": "WHERE",
              "original_condition": "((`t1`.`a` > 900) and (`t1`.`b` > 910))",
              "steps": [
                {
                  "transformation": "equality_propagation",
                  "resulting_condition": "((`t1`.`a` > 900) and (`t1`.`b` > 910))"
                },
                {
                  "transformation": "constant_propagation",
                  "resulting_condition": "((`t1`.`a` > 900) and (`t1`.`b` > 910))"
                },
                {
                  "transformation": "trivial_condition_removal",
                  "resulting_condition": "((`t1`.`a` > 900) and (`t1`.`b` > 910))"
                }
              ] /* steps */
            } /* condition_processing */
          },
          {
            "substitute_generated_columns": {
            } /* substitute_generated_columns */
          },
          {
            "table_dependencies": [
              {
                "table": "`t1`",
                "row_may_be_null": false,
                "map_bit": 0,
                "depends_on_map_bits": [
                ] /* depends_on_map_bits */
              }
            ] /* table_dependencies */
          },
          {
            "ref_optimizer_key_uses": [
            ] /* ref_optimizer_key_uses */
          },
          {
            "rows_estimation": [
              {
                "table": "`t1`",
                "range_analysis": {
                  "table_scan": {
                    "rows": 1000,
                    "cost": 103.35
                  } /* table_scan */,
                  "potential_range_indexes": [
                    {
                      "index": "PRIMARY",
                      "usable": false,
                      "cause": "not_applicable"
                    },
                    {
                      "index": "idx_a",
                      "usable": true,
                      "key_parts": [
                        "a",
                        "id"
                      ] /* key_parts */
                    },
                    {
                      "index": "idx_b",
                      "usable": true,
                      "key_parts": [
                        "b",
                        "id"
                      ] /* key_parts */
                    }
                  ] /* potential_range_indexes */,
                  "setup_range_conditions": [
                  ] /* setup_range_conditions */,
                  "group_index_range": {
                    "chosen": false,
                    "cause": "not_group_by_or_distinct"
                  } /* group_index_range */,
                  "skip_scan_range": {
                    "potential_skip_scan_indexes": [
                      {
                        "index": "idx_a",
                        "usable": false,
                        "cause": "query_references_nonkey_column"
                      },
                      {
                        "index": "idx_b",
                        "usable": false,
                        "cause": "query_references_nonkey_column"
                      }
                    ] /* potential_skip_scan_indexes */
                  } /* skip_scan_range */,
                  "analyzing_range_alternatives": {
                    "range_scan_alternatives": [
                      {
                        "index": "idx_a",
                        "ranges": [
                          "900 < a"
                        ] /* ranges */,
                        "index_dives_for_eq_ranges": true,
                        "rowid_ordered": false,
                        "using_mrr": false,
                        "index_only": false,
                        "in_memory": 1,
                        "rows": 100,
                        "cost": 35.26,
                        "chosen": true
                      },
                      {
                        "index": "idx_b",
                        "ranges": [
                          "910 < b"
                        ] /* ranges */,
                        "index_dives_for_eq_ranges": true,
                        "rowid_ordered": false,
                        "using_mrr": false,
                        "index_only": false,
                        "in_memory": 1,
                        "rows": 90,
                        "cost": 31.76,
                        "chosen": true
                      }
                    ] /* range_scan_alternatives */,
                    "analyzing_roworder_intersect": {
                      "usable": false,
                      "cause": "too_few_roworder_scans"
                    } /* analyzing_roworder_intersect */
                  } /* analyzing_range_alternatives */,
                  "chosen_range_access_summary": {
                    "range_access_plan": {
                      "type": "range_scan",
                      "index": "idx_b",
                      "rows": 90,
                      "ranges": [
                        "910 < b"
                      ] /* ranges */
                    } /* range_access_plan */,
                    "rows_for_plan": 90,
                    "cost_for_plan": 31.76,
                    "chosen": true
                  } /* chosen_range_access_summary */
                } /* range_analysis */
              }
            ] /* rows_estimation */
          },
          {
            "considered_execution_plans": [
              {
                "plan_prefix": [
                ] /* plan_prefix */,
                "table": "`t1`",
                "best_access_path": {
                  "considered_access_paths": [
                    {
                      "rows_to_scan": 90,
                      "access_type": "range",
                      "range_details": {
                        "used_index": "idx_b"
                      } /* range_details */,
                      "resulting_rows": 90,
                      "cost": 40.76,
                      "chosen": true,
                      "use_tmp_table": true
                    }
                  ] /* considered_access_paths */
                } /* best_access_path */,
                "condition_filtering_pct": 100,
                "rows_for_plan": 90,
                "cost_for_plan": 40.76,
                "sort_cost": 90,
                "new_cost_for_plan": 130.76,
                "chosen": true
              }
            ] /* considered_execution_plans */
          },
          {
            "attaching_conditions_to_tables": {
              "original_condition": "((`t1`.`a` > 900) and (`t1`.`b` > 910))",
              "attached_conditions_computation": [
              ] /* attached_conditions_computation */,
              "attached_conditions_summary": [
                {
                  "table": "`t1`",
                  "attached": "((`t1`.`a` > 900) and (`t1`.`b` > 910))"
                }
              ] /* attached_conditions_summary */
            } /* attaching_conditions_to_tables */
          },
          {
            "optimizing_distinct_group_by_order_by": {
              "simplifying_order_by": {
                "original_clause": "`t1`.`a`",
                "items": [
                  {
                    "item": "`t1`.`a`"
                  }
                ] /* items */,
                "resulting_clause_is_simple": true,
                "resulting_clause": "`t1`.`a`"
              } /* simplifying_order_by */
            } /* optimizing_distinct_group_by_order_by */
          },
          {
            "reconsidering_access_paths_for_index_ordering": {
              "clause": "ORDER BY",
              "steps": [
              ] /* steps */,
              "index_order_summary": {
                "table": "`t1`",
                "index_provides_order": false,
                "order_direction": "undefined",
                "index": "idx_b",
                "plan_changed": false
              } /* index_order_summary */
            } /* reconsidering_access_paths_for_index_ordering */
          },
          {
            "finalizing_table_conditions": [
              {
                "table": "`t1`",
                "original_table_condition": "((`t1`.`a` > 900) and (`t1`.`b` > 910))",
                "final_table_condition   ": "((`t1`.`a` > 900) and (`t1`.`b` > 910))"
              }
            ] /* finalizing_table_conditions */
          },
          {
            "refine_plan": [
              {
                "table": "`t1`",
                "pushed_index_condition": "(`t1`.`b` > 910)",
                "table_condition_attached": "(`t1`.`a` > 900)"
              }
            ] /* refine_plan */
          },
          {
            "considering_tmp_tables": [
              {
                "adding_sort_to_table": "t1"
              } /* filesort */
            ] /* considering_tmp_tables */
          }
        ] /* steps */
      } /* join_optimization */
    },
    {
      "join_execution": {
        "select#": 1,
        "steps": [
          {
            "sorting_table": "t1",
            "filesort_information": [
              {
                "direction": "asc",
                "expression": "`t1`.`a`"
              }
            ] /* filesort_information */,
            "filesort_priority_queue_optimization": {
              "usable": false,
              "cause": "not applicable (no LIMIT)"
            } /* filesort_priority_queue_optimization */,
            "filesort_execution": [
            ] /* filesort_execution */,
            "filesort_summary": {
              "memory_available": 262144,
              "key_size": 9,
              "row_size": 32,
              "max_rows_per_buffer": 90,
              "num_rows_estimate": 90,
              "num_rows_found": 90,
              "num_initial_chunks_spilled_to_disk": 0,
              "peak_memory_used": 33792,
              "sort_algorithm": "std::sort",
              "unpacked_addon_fields": "skip_heuristic",
              "sort_mode": "<fixed_sort_key, additional_fields>"
            } /* filesort_summary */
          }
        ] /* steps */
      } /* join_execution */
    }
  ] /* steps */
}
MISSING_BYTES_BEYOND_MAX_MEM_SIZE: 0
          INSUFFICIENT_PRIVILEGES: 0

4 關(guān)閉trace功能

set session optimizer_trace="enabled=off";

總結(jié)

以上為個人經(jīng)驗,希望能給大家一個參考,也希望大家多多支持腳本之家。

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