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首頁資料庫mysql教程[MySQL]行列转换变化各种方法实现总结(行变列报表统计、列变行数据记录统计等)_MySQL

前言:

mysql行列变化,最难的就是将多个列变成多行,使用的比较多的是统计学中行变列,列变行,没有找到现成的函数或者语句,所以自己写了存储过程,使用动态sql来实现,应用业务场景,用户每个月都有使用记录数录入一张表,一个月一个字段,所以表的字段是动态增长的,现在需要实时统计当前用户使用的总数量,如果你知道有多少个字段,那么可以用select c1+c2+c3+…. From tbname where tid=’111’;来实现,但是关键是这个都是动态的,所以在应用程序端来实现确实不适宜,可以放在数据库后台在存储过程里实现。

而且在行变成列中,如果要写单个sql来实现,列的数目就需要写死,因为如果不知道要展示成多少列的话,就需要用动态变量,而一条sql里面无法使用动态变量。但是可以使用sql块来实现动态的效果。

一,列变成行例子演示

1,准备测试数据

这是基础数据表,里面有多个字段wm201403……,现在需要把N个这样的列变成行数据。

USE csdn;
DROP TABLE IF EXISTS flow_table;
CREATE TABLE `flow_table` (
  `ID` INT(11) NOT NULL AUTO_INCREMENT,
  `Number` BIGINT(11) NOT NULL,
  `City` VARCHAR(10) NOT NULL,
  `wm201403` DECIMAL(7,2) DEFAULT NULL,
  `wm201404` DECIMAL(7,2) DEFAULT NULL,
  `wm201405` DECIMAL(7,2) DEFAULT NULL,
  `wm201406` DECIMAL(7,2) DEFAULT NULL,
  `wm201407` DECIMAL(7,2) DEFAULT NULL,
  `wm201408` DECIMAL(7,2) DEFAULT NULL,
  PRIMARY KEY (`ID`,`Number`)
) ENGINE=INNODB   DEFAULT CHARSET=utf8;

录入一批测试数据:

INSERT INTO flow_table(Number,City,wm201403,wm201404,wm201405,wm201406,wm201407,wm201408)SELECT 1,'shanghai',100.2,180.4,141,164,124,127;
INSERT INTO flow_table(Number,City,wm201403,wm201404,wm201405,wm201406,wm201407,wm201408)SELECT 2,'shanghai',110.23,180.34,141.23,104.78,124.67,127.45;
INSERT INTO flow_table(Number,City,wm201403,wm201404,wm201405,wm201406,wm201407,wm201408)SELECT 3,'beijing',123.23,110.34,131.33,154.58,154.67,167.45;
INSERT INTO flow_table(Number,City,wm201403,wm201404,wm201405,wm201406,wm201407,wm201408)SELECT 4,'hangzhou',0,110.34,131.33,154.58,154.67,0;
INSERT INTO flow_table(Number,City,wm201405,wm201406,wm201407,wm201408)SELECT 5,'hangzhou',131.33,154.58,154.67,0; 

需要达到的统计效果是:

+--------+-----------+

| Number | total_num |

+--------+-----------+

| 1 | 836.60 |

| 2 | 788.70 |

| 3 | 841.60 |

| 4 | 550.92 |

| 5 | 440.58 |

+--------+-----------+

5 rows in set (0.00 sec)

2,存储过程遍历:

这个存储过程建立了2张临时表,查询测试表数据形成游标,遍历游标根据主键Number来调用pro_flow_modify存储过程进行行列变化。代码如下:

DELIMITER $$
DROP PROCEDURE IF EXISTS csdn.`proc_all_changes`$$
CREATE PROCEDURE csdn.proc_all_changes()
BEGIN
    DECLARE v_number BIGINT;
    DECLARE v_city VARCHAR(10);
    DECLARE _done INT DEFAULT 0; 
    
    /*定义游标*/
    DECLARE cur_all CURSOR FOR SELECT Number,City FROM csdn.`flow_table`;
    /**这里如果需要定义下当NOT FOUND的时候,EXIT退出游标遍历,不然如果设置成CONTINUE会一直执行下去。*/
    DECLARE EXIT HANDLER FOR NOT FOUND BEGIN SET _done=1;END;      
    
       /*建立临时表,存放所有字段的临时表*/
	DROP TABLE IF EXISTS flow_n_columns;
	CREATE TABLE `flow_n_columns` (
	  `column_name` VARCHAR(10) NOT NULL
	) ENGINE=INNODB DEFAULT CHARSET=utf8;

	/*存放最终变成行的数据表*/
	DROP TABLE IF EXISTS flow_tmp;
	CREATE TABLE `flow_tmp` (
	  `Number` INT(11) DEFAULT NULL,
	  `City` VARCHAR(10) DEFAULT NULL,
	  `wm_str` VARCHAR(10) DEFAULT NULL,
	  `Wm` DECIMAL(7,2) DEFAULT NULL
	) ENGINE=INNODB DEFAULT CHARSET=utf8;

    OPEN cur_all;
    REPEAT
        FETCH cur_all INTO v_number, v_city;
        IF NOT _done THEN 
		CALL csdn.pro_flow_modify(v_number,v_city);
        END IF; 
        UNTIL _done=1 END REPEAT;
    CLOSE cur_all; 
    	/*展示下所有的行转列的数据**/
	SELECT * FROM csdn.flow_tmp;      
END$$   
DELIMITER ; 

3,行里变化存储过程

通过查询系统表information_schema.`COLUMNS`来获取测试表flow_table的所有列,然后写动态SQL,来把列的值录入到临时表flow_tmp中。

DELIMITER $$
DROP PROCEDURE IF EXISTS csdn.`pro_flow_modify`$$
CREATE PROCEDURE csdn.`pro_flow_modify`(p_Number INT,p_city VARCHAR(10))
BEGIN
	DECLARE v_column_name VARCHAR(10) DEFAULT '';
	DECLARE v_exe_sql VARCHAR(1000) DEFAULT '';
	DECLARE v_start_wm VARCHAR(10) DEFAULT '';
	DECLARE v_end_wm VARCHAR(10) DEFAULT '';
	DECLARE v_num  DECIMAL(10,2) DEFAULT 0;
	
	DECLARE i INT DEFAULT 1;
	DECLARE v_Number INT DEFAULT 0;
	SET v_Number=p_Number;
	
	DELETE FROM csdn.flow_n_columns;
	DELETE FROM csdn.flow_tmp WHERE Number=v_Number;
	
	
	/*把测试表flow_table的所有字段都录入字段临时表中,这样就达到了从列变成行的目的*/
	INSERT INTO flow_n_columns
	SELECT t.`COLUMN_NAME` FROM information_schema.`COLUMNS` t WHERE t.`TABLE_NAME`='flow_table' AND t.`TABLE_SCHEMA`='csdn' AND t.`COLUMN_NAME` NOT IN('ID','Number','City');
	SELECT column_name INTO v_column_name FROM csdn.flow_n_columns LIMIT 1;
	
	/*开始循环遍历字段临时表的字段数据,并且把字段值放入临时表flow_tmp里面*/
	WHILE i>0 DO
		SET v_exe_sql=CONCAT('INSERT INTO csdn.flow_tmp(Number,City,wm_str,Wm) select ',v_Number,',\'',p_city, '\',\'',v_column_name,'\',',v_column_name,' from csdn.flow_table WHERE flow_table.Number=',v_Number,';');
		SET @sql=v_exe_sql;
		PREPARE s1 FROM @sql;
		EXECUTE s1;
		DEALLOCATE PREPARE s1; 
		DELETE FROM csdn.flow_n_columns WHERE column_name=v_column_name;
		SELECT column_name INTO v_column_name FROM csdn.flow_n_columns LIMIT 1;
		SELECT COUNT(1) INTO i FROM csdn.flow_n_columns ;
		DELETE FROM csdn.flow_tmp WHERE Wm=0;
	END WHILE;

	/*由于触发器是不支持动态sql,所以不能使用while循环,动态遍历所有统计列的,只能写死列了,如下所示:
	现在一个个insert只能写死了, flow_table表有多少个统计列就写多少个insert sql,以后新添加一个列,就在这里新添加一条insertsql语句
	INSERT INTO flow_tmp(Number,City,wm_str,Wm) SELECT v_Number,p_city,'wm201403',wm201403 FROM flow_table WHERE Number=v_Number ;
	INSERT INTO flow_tmp(Number,City,wm_str,Wm) SELECT v_Number,p_city,'wm201404',wm201404 FROM flow_table WHERE Number=v_Number ;
	INSERT INTO flow_tmp(Number,City,wm_str,Wm) SELECT v_Number,p_city,'wm201405',wm201405 FROM flow_table WHERE Number=v_Number ;
	INSERT INTO flow_tmp(Number,City,wm_str,Wm) SELECT v_Number,p_city,'wm201406',wm201406 FROM flow_table WHERE Number=v_Number ;
	INSERT INTO flow_tmp(Number,City,wm_str,Wm) SELECT v_Number,p_city,'wm201407',wm201407 FROM flow_table WHERE Number=v_Number ;
	INSERT INTO flow_tmp(Number,City,wm_str,Wm) SELECT v_Number,p_city,'wm201408',wm201408 FROM flow_table WHERE Number=v_Number ;
	*/
	
	/*清除掉不数据=0的列*/
	DELETE FROM csdn.flow_tmp WHERE Wm=0 OR Wm IS NULL;
	
	SELECT wm_str INTO v_start_wm FROM csdn.flow_tmp WHERE Number=v_Number ORDER BY wm_str ASC LIMIT 1;
	SELECT wm_str INTO v_end_wm FROM csdn.flow_tmp WHERE Number=v_Number ORDER BY wm_str DESC LIMIT 1;
	SELECT SUM(Wm) INTO v_num FROM csdn.flow_tmp WHERE Number=v_Number;		

    END$$

DELIMITER ; 

4,列变行结果展示

临时表的所有数据:

mysql> SELECT * FROM csdn.flow_tmp;
+--------+----------+----------+--------+
| Number | City     | wm_str   | Wm     |
+--------+----------+----------+--------+
|      1 | shanghai | wm201403 | 100.20 |
|      1 | shanghai | wm201404 | 180.40 |
|      1 | shanghai | wm201405 | 141.00 |
|      1 | shanghai | wm201406 | 164.00 |
|      1 | shanghai | wm201407 | 124.00 |
|      1 | shanghai | wm201408 | 127.00 |
|      2 | shanghai | wm201403 | 110.23 |
|      2 | shanghai | wm201404 | 180.34 |
|      2 | shanghai | wm201405 | 141.23 |
|      2 | shanghai | wm201406 | 104.78 |
|      2 | shanghai | wm201407 | 124.67 |
|      2 | shanghai | wm201408 | 127.45 |
|      3 | beijing  | wm201403 | 123.23 |
|      3 | beijing  | wm201404 | 110.34 |
|      3 | beijing  | wm201405 | 131.33 |
|      3 | beijing  | wm201406 | 154.58 |
|      3 | beijing  | wm201407 | 154.67 |
|      3 | beijing  | wm201408 | 167.45 |
|      4 | hangzhou | wm201404 | 110.34 |
|      4 | hangzhou | wm201405 | 131.33 |
|      4 | hangzhou | wm201406 | 154.58 |
|      4 | hangzhou | wm201407 | 154.67 |
|      5 | hangzhou | wm201405 | 131.33 |
|      5 | hangzhou | wm201406 | 154.58 |
|      5 | hangzhou | wm201407 | 154.67 |
+--------+----------+----------+--------+
25 rows in set (0.00 sec)
mysql> 

统计每个用户的使用总量为:

mysql> SELECT Number,SUM(Wm) 'total_num' FROM flow_tmp GROUP BY Number ORDER BY Number;
+--------+-----------+
| Number | total_num |
+--------+-----------+
|      1 |    836.60 |
|      2 |    788.70 |
|      3 |    841.60 |
|      4 |    550.92 |
|      5 |    440.58 |
+--------+-----------+
5 rows in set (0.00 sec)

mysql>

二,行变列例子演示

1,准备测试数据

USE csdn;
DROP TABLE IF EXISTS csdn.tb;
CREATE TABLE tb(`cname` VARCHAR(10),cource VARCHAR(10),score INT) ENGINE=INNODB;

INSERT INTO tb VALUES('张三','语文',74);
INSERT INTO tb VALUES('张三','数学',83);
INSERT INTO tb VALUES('张三','物理',93);
INSERT INTO tb VALUES('李四','语文',74);
INSERT INTO tb VALUES('李四','数学',84);
INSERT INTO tb VALUES('李四','物理',94);

SELECT * FROM tb;
需要得到的结果是:

+--------------------+--------+--------+--------+-----------+--------------+

| 姓名 | 语文 | 数学 | 物理 | 总成绩 | 平均成绩 |

+--------------------+--------+--------+--------+-----------+--------------+

| 张三 | 74.00 | 83.00 | 93.00 | 250.00 | 83.33 |

| 李四 | 74.00 | 84.00 | 94.00 | 252.00 | 84.00 |

| 总成绩平均数 | 74.00 | 83.50 | 93.50 | 251.00 | 83.67 |

+--------------------+--------+--------+--------+-----------+--------------+

2,利用SUM(IF()) 生成列 + WITH ROLLUP 生成汇总行,并利用 IFNULL将汇总行标题显示为 Total_num

SQL代码块如下:

SELECT cname AS "姓名",
	SUM(IF(cource="语文",score,0)) AS "语文",
	SUM(IF(cource="数学",score,0)) AS "数学",
	SUM(IF(cource="物理",score,0)) AS "物理",
	SUM(score) AS "总成绩",
	ROUND(AVG(score),2) AS "平均成绩"
FROM tb 
GROUP BY cname
UNION ALL
SELECT
	"总成绩平均数",
	ROUND(AVG(`语文`),2) , ROUND(AVG(`数学`),2), ROUND(AVG(`物理`),2), ROUND(AVG(`总成绩`),2), ROUND(AVG(`平均成绩`),2)
FROM(
	SELECT "all",cname AS "姓名",
		SUM(IF(cource="语文",score,0)) AS "语文",
		SUM(IF(cource="数学",score,0)) AS "数学",
		SUM(IF(cource="物理",score,0)) AS "物理",
		SUM(score) AS "总成绩",
		AVG(score) AS "平均成绩"
	FROM tb 
	GROUP BY cname
)tb2 
GROUP BY tb2.all;

执行结果正确,如下所示:

+--------------------+--------+--------+--------+-----------+--------------+

| 姓名 | 语文 | 数学 | 物理 | 总成绩 | 平均成绩 |

+--------------------+--------+--------+--------+-----------+--------------+

| 张三 | 74.00 | 83.00 | 93.00 | 250.00 | 83.33 |

| 李四 | 74.00 | 84.00 | 94.00 | 252.00 | 84.00 |

| 总成绩平均数 | 74.00 | 83.50 | 93.50 | 251.00 | 83.67 |

+--------------------+--------+--------+--------+-----------+--------------+

3,利用max(CASE ... WHEN ... THEN .. ELSE END) AS "语文"的方式来实现

SQL代码如下:

SELECT 
	cname AS "姓名",
	MAX(CASE cource WHEN "语文" THEN score ELSE 0 END) AS "语文", 
	MAX(CASE cource WHEN "数学" THEN score ELSE 0 END) AS "数学", 
	MAX(CASE cource WHEN "物理" THEN score ELSE 0 END) AS "物理", 
	SUM(score) AS "总成绩",
	ROUND(AVG(score) ,2) AS "平均成绩"
FROM tb 
GROUP BY `cname`
UNION ALL
SELECT
	"总成绩平均数",
	ROUND(AVG(`语文`),2) , ROUND(AVG(`数学`),2), ROUND(AVG(`物理`),2), ROUND(AVG(`总成绩`),2), ROUND(AVG(`平均成绩`),2)
FROM(	SELECT 'all' ,  
		cname AS "姓名",
		MAX(CASE cource WHEN "语文" THEN score ELSE 0 END) AS "语文", 
		MAX(CASE cource WHEN "数学" THEN score ELSE 0 END) AS "数学", 
		MAX(CASE cource WHEN "物理" THEN score ELSE 0 END) AS "物理", 
		SUM(score) AS "总成绩",
		ROUND(AVG(score) ,2) AS "平均成绩"
	FROM tb 
	GROUP BY `cname` 
)tb2 GROUP BY tb2.all 

执行结果正确,如下所示:

+--------------------+--------+--------+--------+-----------+--------------+

| 姓名 | 语文 | 数学 | 物理 | 总成绩 | 平均成绩 |

+--------------------+--------+--------+--------+-----------+--------------+

| 张三 | 74.00 | 83.00 | 93.00 | 250.00 | 83.33 |

| 李四 | 74.00 | 84.00 | 94.00 | 252.00 | 84.00 |

| 总成绩平均数 | 74.00 | 83.50 | 93.50 | 251.00 | 83.67 |

+--------------------+--------+--------+--------+-----------+--------------+

4,利用 WITH rollup结果不符合

SQL代码如下:
  SELECT IFNULL(cname,'总平均数') AS "姓名",
	MAX(CASE cource WHEN "语文" THEN score ELSE 0 END) AS "语文", 
	MAX(CASE cource WHEN "数学" THEN score ELSE 0 END) AS "数学", 
	MAX(CASE cource WHEN "物理" THEN score ELSE 0 END) AS "物理", 
	ROUND(AVG(score),2) AS "总成绩",
	ROUND(AVG(avg_score),2) AS "平均成绩" 
    FROM(
	SELECT   
		cname ,
		IFNULL(cource,'total') cource,
		SUM(score) AS score,
		ROUND(AVG(score) ,2) AS avg_score
	FROM tb 
	GROUP BY `cname`,cource WITH ROLLUP HAVING cname IS NOT NULL
	)tb2 
	GROUP BY  tb2.cname WITH ROLLUP;
mysql>     SELECT IFNULL(cname,'总平均数') AS "姓名",
    -> MAX(CASE cource WHEN "语文" THEN score ELSE 0 END) AS "语文", 
    -> MAX(CASE cource WHEN "数学" THEN score ELSE 0 END) AS "数学", 
    -> MAX(CASE cource WHEN "物理" THEN score ELSE 0 END) AS "物理", 
    -> ROUND(AVG(score),2) AS "总成绩",
    -> ROUND(AVG(avg_score),2) AS "平均成绩" 
    ->     FROM(
    -> SELECT   
    -> 
Display ALL 793 possibilities? (Y OR n) 
    -> cname ,
    -> 
Display ALL 793 possibilities? (Y OR n) 
    -> IFNULL(cource,'total') cource,
    -> 
Display ALL 793 possibilities? (Y OR n) 
    -> SUM(score) AS score,
    -> 
Display ALL 793 possibilities? (Y OR n) 
    -> ROUND(AVG(score) ,2) AS avg_score
    -> FROM tb 
    -> GROUP BY `cname`,cource WITH ROLLUP HAVING cname IS NOT NULL
    -> )tb2 
    -> GROUP BY  tb2.cname WITH ROLLUP;
+--------------+--------+--------+--------+-----------+--------------+
| 姓名         | 语文   | 数学   | 物理   | 总成绩    | 平均成绩     |
+--------------+--------+--------+--------+-----------+--------------+
| 张三         |     74 |     83 |     93 |    125.00 |        83.33 |
| 李四         |     74 |     84 |     94 |    126.00 |        84.00 |
| 总平均数     |     74 |     84 |     94 |    125.50 |        83.67 |
+--------------+--------+--------+--------+-----------+--------------+
3 ROWS IN SET, 1 warning (0.00 sec)
mysql> 

总结: WITH rollup中对求列的总数是OK的,但是求列的平均数有偏差,这里场景使用不是恰当。

5,使用动态SQL来实现

SQL代码块如下:

/*仅仅班级成员部分*/
SET @a=''; 
SELECT @a:=CONCAT(@a,'SUM(IF(cource=\'',cource,'\'',',score,0)) AS ',cource,',') FROM (SELECT DISTINCT cource FROM tb) A;
SET @a=CONCAT(@a,"ROUND(AVG(score) ,2) AS \"平均成绩\"");
SET @b=CONCAT('SELECT IFNULL(cname,\'总成绩\'),',LEFT(@a,LENGTH(@a)-1),' ,SUM(score) AS \"总成绩\" FROM tb GROUP BY cname ');

/*班级成员总计部分**/
SET @a2="";
SET @b2=CONCAT('SELECT "all",IFNULL(cname,\'总成绩\'),',LEFT(@a,LENGTH(@a)-1),' ,SUM(score) AS \"总成绩\" FROM tb GROUP BY cname ');
SELECT @a2:=CONCAT(@a2,'ROUND(AVG(`',cource,'`),2),') FROM (SELECT DISTINCT cource FROM tb) A;
SET @a2=CONCAT(@a2," ROUND(AVG(`平均成绩`),2),ROUND(AVG(`总成绩`),2) ");
SET @c=CONCAT("SELECT \"班级平均数\",",LEFT(@a2,LENGTH(@a)-1)," FROM(",@b2,")tb2 GROUP BY tb2.all;");
SET @d=CONCAT(@b," UNION ALL ",@c);

PREPARE stmt1 FROM @d;
EXECUTE stmt1; 

查看执行结果如下,已经达到效果:

mysql> /*仅仅班级成员部分*/
mysql> SET @a=''; 
QUERY OK, 0 ROWS affected (0.00 sec)

mysql> SELECT @a:=CONCAT(@a,'SUM(IF(cource=\'',cource,'\'',',score,0)) AS ',cource,',') FROM (SELECT DISTINCT cource FROM tb) A;
+-----------------------------------------------------------------------------------------------------------------------------------+
| @a:=CONCAT(@a,'SUM(IF(cource=\'',cource,'\'',',score,0)) AS ',cource,',')                                                         |
+-----------------------------------------------------------------------------------------------------------------------------------+
| SUM(IF(cource='语文',score,0)) AS 语文,                                                                                           |
| SUM(IF(cource='语文',score,0)) AS 语文,SUM(IF(cource='数学',score,0)) AS 数学,                                                    |
| SUM(IF(cource='语文',score,0)) AS 语文,SUM(IF(cource='数学',score,0)) AS 数学,SUM(IF(cource='物理',score,0)) AS 物理,             |
+-----------------------------------------------------------------------------------------------------------------------------------+
3 ROWS IN SET (0.00 sec)

mysql> SET @a=CONCAT(@a,"ROUND(AVG(score) ,2) AS \"平均成绩\"");
QUERY OK, 0 ROWS affected (0.00 sec)

mysql> SET @b=CONCAT('SELECT IFNULL(cname,\'总成绩\'),',LEFT(@a,LENGTH(@a)-1),' ,SUM(score) AS \"总成绩\" FROM tb GROUP BY cname ');
QUERY OK, 0 ROWS affected (0.00 sec)

mysql> 
mysql> /*班级成员总计部分**/
mysql> SET @a2="";
QUERY OK, 0 ROWS affected (0.00 sec)

mysql> SET @b2=CONCAT('SELECT "all",IFNULL(cname,\'总成绩\'),',LEFT(@a,LENGTH(@a)-1),' ,SUM(score) AS \"总成绩\" FROM tb GROUP BY cname ');
QUERY OK, 0 ROWS affected (0.00 sec)

mysql> SELECT @a2:=CONCAT(@a2,'ROUND(AVG(`',cource,'`),2),') FROM (SELECT DISTINCT cource FROM tb) A;
+-----------------------------------------------------------------------+
| @a2:=CONCAT(@a2,'ROUND(AVG(`',cource,'`),2),')                        |
+-----------------------------------------------------------------------+
| ROUND(AVG(`语文`),2),                                                 |
| ROUND(AVG(`语文`),2),ROUND(AVG(`数学`),2),                            |
| ROUND(AVG(`语文`),2),ROUND(AVG(`数学`),2),ROUND(AVG(`物理`),2),       |
+-----------------------------------------------------------------------+
3 ROWS IN SET (0.00 sec)

mysql> SET @a2=CONCAT(@a2," ROUND(AVG(`平均成绩`),2),ROUND(AVG(`总成绩`),2) ");
QUERY OK, 0 ROWS affected (0.00 sec)

mysql> SET @c=CONCAT("SELECT \"班级平均数\",",LEFT(@a2,LENGTH(@a)-1)," FROM(",@b2,")tb2 GROUP BY tb2.all;");
QUERY OK, 0 ROWS affected (0.00 sec)

mysql> SET @d=CONCAT(@b," UNION ALL ",@c);
QUERY OK, 0 ROWS affected (0.00 sec)

mysql> 
mysql> PREPARE stmt1 FROM @d;
QUERY OK, 0 ROWS affected (0.00 sec)
Statement prepared

mysql> EXECUTE stmt1;
+---------------------------+--------+--------+--------+--------------+-----------+
| IFNULL(cname,'总成绩')    | 语文   | 数学   | 物理   | 平均成绩     | 总成绩    |
+---------------------------+--------+--------+--------+--------------+-----------+
| 张三                      |  74.00 |  83.00 |  93.00 |        83.33 |    250.00 |
| 李四                      |  74.00 |  84.00 |  94.00 |        84.00 |    252.00 |
| 班级平均数                |  74.00 |  83.50 |  93.50 |        83.67 |    251.00 |
+---------------------------+--------+--------+--------+--------------+-----------+
3 ROWS IN SET (0.00 sec)
mysql>

参考文章地址:http://blog.chinaunix.net/uid-7692530-id-2567582.html

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要優化MySQL慢查詢,需使用slowquerylog和performance_schema:1.啟用slowquerylog並設置閾值,記錄慢查詢;2.利用performance_schema分析查詢執行細節,找出性能瓶頸並優化。

MySQL和SQL:開發人員的基本技能MySQL和SQL:開發人員的基本技能Apr 10, 2025 am 09:30 AM

MySQL和SQL是開發者必備技能。 1.MySQL是開源的關係型數據庫管理系統,SQL是用於管理和操作數據庫的標準語言。 2.MySQL通過高效的數據存儲和檢索功能支持多種存儲引擎,SQL通過簡單語句完成複雜數據操作。 3.使用示例包括基本查詢和高級查詢,如按條件過濾和排序。 4.常見錯誤包括語法錯誤和性能問題,可通過檢查SQL語句和使用EXPLAIN命令優化。 5.性能優化技巧包括使用索引、避免全表掃描、優化JOIN操作和提升代碼可讀性。

描述MySQL異步主奴隸複製過程。描述MySQL異步主奴隸複製過程。Apr 10, 2025 am 09:30 AM

MySQL異步主從復制通過binlog實現數據同步,提升讀性能和高可用性。 1)主服務器記錄變更到binlog;2)從服務器通過I/O線程讀取binlog;3)從服務器的SQL線程應用binlog同步數據。

mysql:簡單的概念,用於輕鬆學習mysql:簡單的概念,用於輕鬆學習Apr 10, 2025 am 09:29 AM

MySQL是一個開源的關係型數據庫管理系統。 1)創建數據庫和表:使用CREATEDATABASE和CREATETABLE命令。 2)基本操作:INSERT、UPDATE、DELETE和SELECT。 3)高級操作:JOIN、子查詢和事務處理。 4)調試技巧:檢查語法、數據類型和權限。 5)優化建議:使用索引、避免SELECT*和使用事務。

MySQL:數據庫的用戶友好介紹MySQL:數據庫的用戶友好介紹Apr 10, 2025 am 09:27 AM

MySQL的安裝和基本操作包括:1.下載並安裝MySQL,設置根用戶密碼;2.使用SQL命令創建數據庫和表,如CREATEDATABASE和CREATETABLE;3.執行CRUD操作,使用INSERT,SELECT,UPDATE,DELETE命令;4.創建索引和存儲過程以優化性能和實現複雜邏輯。通過這些步驟,你可以從零開始構建和管理MySQL數據庫。

InnoDB緩衝池如何工作,為什麼對性能至關重要?InnoDB緩衝池如何工作,為什麼對性能至關重要?Apr 09, 2025 am 12:12 AM

InnoDBBufferPool通過將數據和索引頁加載到內存中來提升MySQL數據庫的性能。 1)數據頁加載到BufferPool中,減少磁盤I/O。 2)臟頁被標記並定期刷新到磁盤。 3)LRU算法管理數據頁淘汰。 4)預讀機制提前加載可能需要的數據頁。

MySQL:初學者的數據管理易用性MySQL:初學者的數據管理易用性Apr 09, 2025 am 12:07 AM

MySQL適合初學者使用,因為它安裝簡單、功能強大且易於管理數據。 1.安裝和配置簡單,適用於多種操作系統。 2.支持基本操作如創建數據庫和表、插入、查詢、更新和刪除數據。 3.提供高級功能如JOIN操作和子查詢。 4.可以通過索引、查詢優化和分錶分區來提升性能。 5.支持備份、恢復和安全措施,確保數據的安全和一致性。

與MySQL中使用索引相比,全表掃描何時可以更快?與MySQL中使用索引相比,全表掃描何時可以更快?Apr 09, 2025 am 12:05 AM

全表掃描在MySQL中可能比使用索引更快,具體情況包括:1)數據量較小時;2)查詢返回大量數據時;3)索引列不具備高選擇性時;4)複雜查詢時。通過分析查詢計劃、優化索引、避免過度索引和定期維護表,可以在實際應用中做出最優選擇。

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