MySQL查询优化一例——也说说 Using intersect

Posted 2022-11-14 digdeep

生成上面有一条sql查询很慢，需要7到8秒左右，简化之后的sql如下所示：

SELECT
	mingxi.*
FROM
	(
		SELECT
			btjc01.id,			
			department.`name` AS btjc01011,
			btjc01011 AS obj,
			btjc01.inibeginmonth AS beginYearMonth,
			lsbtsj.btje AS btjc01030,			
						
			CASE
		WHEN btjc01.inibeginmonth =‘2019-10‘ THEN
			‘是‘
		ELSE
			‘否‘
		END AS isadd
		FROM
			btjc01
		INNER JOIN department ON department.Id = btjc01.btjc01038
		INNER JOIN lsbtsj ON lsbtsj.btrid = btjc01.Id
		WHERE
			btjc01.btjc01037 = ‘3‘
		AND btjc01046 =‘江西省‘
		AND btjc01047 =‘九江市‘
		AND btjc01048 =‘修水县‘		
		AND lsbtsj.btqsyf <=‘2019-10‘
		AND lsbtsj.btjzyf >=‘2019-10‘
		AND beginYearMonth != inibeginmonth
		UNION ALL
			SELECT
				btjc01.id,
						
				department.`name` AS btjc01011,
				btjc01011 AS obj,
				btjc01.beginYearMonth,
				btjc01.btjc01030,				
				
				CASE
			WHEN btjc01.inibeginmonth =‘2019-10‘ THEN
				‘是‘
			ELSE
				‘否‘
			END AS isadd
			FROM
				btjc01 
			INNER JOIN department ON department.Id = btjc01.btjc01038
			INNER JOIN btgg03 ON btgg03.Id = btjc01.btjc01040
			WHERE
				btjc01.btjc01037 = ‘3‘
		AND btjc01046 =‘江西省‘
		AND btjc01047 =‘九江市‘
		AND btjc01048 =‘修水县‘
		AND (beginYearMonth <=‘2019-10‘)
	) AS mingxi

LIMIT 100,200;

 

执行计划如下所示：

  可以看到 执行计划里面出现了 Using intersect，btjc01046 btjc01048 btjc01037 btjc01047 多个索引来进行数据的过滤。

另外发现一个问题，里面的 union all 子查询 却只需要 0.4秒就可以执行完成：

SELECT
			btjc01.id,			
			department.`name` AS btjc01011,
			btjc01011 AS obj,
			btjc01.inibeginmonth AS beginYearMonth,
			lsbtsj.btje AS btjc01030,			
						
			CASE
		WHEN btjc01.inibeginmonth =‘2019-10‘ THEN
			‘是‘
		ELSE
			‘否‘
		END AS isadd
		FROM
			btjc01
		INNER JOIN department ON department.Id = btjc01.btjc01038
		INNER JOIN lsbtsj ON lsbtsj.btrid = btjc01.Id
		WHERE
			btjc01.btjc01037 = ‘3‘
		AND btjc01046 =‘江西省‘
		AND btjc01047 =‘九江市‘
		AND btjc01048 =‘修水县‘		
		AND lsbtsj.btqsyf <=‘2019-10‘
		AND lsbtsj.btjzyf >=‘2019-10‘
		AND beginYearMonth != inibeginmonth
		UNION ALL
			SELECT
				btjc01.id,
						
				department.`name` AS btjc01011,
				btjc01011 AS obj,
				btjc01.beginYearMonth,
				btjc01.btjc01030,				
				
				CASE
			WHEN btjc01.inibeginmonth =‘2019-10‘ THEN
				‘是‘
			ELSE
				‘否‘
			END AS isadd
			FROM
				btjc01 
			INNER JOIN department ON department.Id = btjc01.btjc01038
			INNER JOIN btgg03 ON btgg03.Id = btjc01.btjc01040
			WHERE
				btjc01.btjc01037 = ‘3‘
		AND btjc01046 =‘江西省‘
		AND btjc01047 =‘九江市‘
		AND btjc01048 =‘修水县‘
		AND (beginYearMonth <=‘2019-10‘)　　

 

执行计划如下：

 

 比较一下前面和后面两个的执行计划，可以发现 都是有了 Using intersect 但是呢后面一个却只需要0.4秒，而在外面加上一层 select * from t，时间却需要7到8秒。一直没有明白什么原因。

最后的优化是去掉 Using interset ，使用 force index 手动指定使用索引 btjc01048:

SELECT
	mingxi.*
FROM
	(
		SELECT
			btjc01.id,			
			department.`name` AS btjc01011,
			btjc01011 AS obj,
			btjc01.inibeginmonth AS beginYearMonth,
			lsbtsj.btje AS btjc01030,			
						
			CASE
		WHEN btjc01.inibeginmonth =‘2019-10‘ THEN
			‘是‘
		ELSE
			‘否‘
		END AS isadd
		FROM
			btjc01 force index(btjc01048)
		INNER JOIN department ON department.Id = btjc01.btjc01038
		INNER JOIN lsbtsj ON lsbtsj.btrid = btjc01.Id
		WHERE
			btjc01.btjc01037 = ‘3‘
		AND btjc01046 =‘江西省‘
		AND btjc01047 =‘九江市‘
		AND btjc01048 =‘修水县‘		
		AND lsbtsj.btqsyf <=‘2019-10‘
		AND lsbtsj.btjzyf >=‘2019-10‘
		AND beginYearMonth != inibeginmonth
		UNION ALL
			SELECT
				btjc01.id,
						
				department.`name` AS btjc01011,
				btjc01011 AS obj,
				btjc01.beginYearMonth,
				btjc01.btjc01030,				
				
				CASE
			WHEN btjc01.inibeginmonth =‘2019-10‘ THEN
				‘是‘
			ELSE
				‘否‘
			END AS isadd
			FROM
				btjc01 force index(btjc01048)
			INNER JOIN department ON department.Id = btjc01.btjc01038
			INNER JOIN btgg03 ON btgg03.Id = btjc01.btjc01040
			WHERE
				btjc01.btjc01037 = ‘3‘
		AND btjc01046 =‘江西省‘
		AND btjc01047 =‘九江市‘
		AND btjc01048 =‘修水县‘
		AND (beginYearMonth <=‘2019-10‘)
	) AS mingxi

LIMIT 100,200;

　　执行时间需要1.2秒左右，和0.4秒相比，还是有差距。执行计划如下；

 

 可以看到没有了 Using interset. 我们强制使用索引 btjc01048.

 

总结：

如果出现 Using interset 需要注意是否mysql优化器选择的是否是最佳的索引方案。是否可以通过force index来选择更优的索引。