使用索引表Mysql进行慢查询

时间:2016-02-09 17:06:12

标签: mysql database query-performance

我一直在努力提高我的一个数据库(MySQL)查询的性能。事情就是我做了,我仍然表现不佳。在我的更改之前,Query运行在9.54s,并且在一些索引更改之后,性能提高到5.67s。

这是我的疑问:

  

Query_time:5.343565 Lock_time:0.000302 Rows_sent:100005 Rows_examined:200017

代码:

SET timestamp=1455032448;
SELECT 
     id, 
     description,
     unit_price, 
     (SELECT coalesce(sum(quantity),0) from si_invoice_items where product_id = si_products.id) as qty_out ,
     (SELECT coalesce(sum(quantity),0) from si_inventory where product_id = si_products.id) as qty_in ,
     (SELECT coalesce(reorder_level,0)) as reorder_level ,
     (SELECT qty_in - qty_out ) as quantity,
     (SELECT (CASE  WHEN enabled = 0 THEN 'Disabled' ELSE 'Enabled' END )) AS enabled
FROM 
    si_products  
WHERE 
    visible = 1
    AND domain_id = '1'
ORDER BY 
    description asc;

这是受影响的所有表的索引信息:

Table Non_unique  Key_name  Seq_in_index  Column_name  Collation  Cardinality  Sub_part  Packed  Null  Index_type   
si_products 0 PRIMARY 1 id A 100005 NULL NULL  BTREE   
si_products 0 PRIMARY 2 domain_id A 100005 NULL NULL  BTREE   
si_products 1 unit_price 1 unit_price A 10000 NULL NULL YESBTREE   
si_products 1 description 1 id A 100005 NULL NULL  BTREE   
si_products 1 description 2 description A 100005 15 NULL  BTREE 

Table  Non_unique  Key_name  Seq_in_index  Column_name  Collation  Cardinality  Sub_part  Packed  Null  Index_type  Comment  Index_comment   
si_inventory 0 PRIMARY 1 domain_id A NULL NULL NULL  BTREE   
si_inventory 0 PRIMARY 2 id A 0 NULL NULL  BTREE   
si_inventory 1 product_id 1 product_id A NULL NULL NULL  BTREE   
si_inventory 1 quantity 1 quantity A NULL NULL NULL  BTREE   

Table  Non_unique  Key_name  Seq_in_index  Column_name  Collation  Cardinality  Sub_part  Packed  Null  Index_type  Comment  Index_comment   
si_invoice_items 0 PRIMARY 1 id A NULL NULL NULL  BTREE   
si_invoice_items 0 PRIMARY 2 invoice_id A 7 NULL NULL  BTREE   
si_invoice_items 1 unit_price 1 unit_price A NULL NULL NULL YES BTREE   
si_invoice_items 1 quantity 1 quantity A NULL NULL NULL  BTREE   
si_invoice_items 1 product_id 1 product_id A NULL NULL NULL YES  

任何建议都会受到赞赏。

随着我的上一次改变有所改善

  

Query_time:3.723339 Lock_time:0.000254 Rows_sent:100005 Rows_examined:200024 Rows_affected:0

SET timestamp=1455037952;
SELECT  
     A.id, 
     A.description,
     A.unit_price, 
     (SELECT coalesce(sum(B.quantity),0) from si_invoice_items B JOIN si_products A ON B.product_id = A.id) as qty_out ,
     (SELECT coalesce(sum(C.quantity),0) from si_inventory C JOIN si_products A ON C.product_id = A.id) as qty_in ,
     (SELECT coalesce(A.reorder_level,0)) as reorder_level ,
     (SELECT qty_in - qty_out ) as quantity,
     (CASE  WHEN A.enabled = 0 THEN 'Disabled' ELSE 'Enabled' END ) AS enabled
FROM 
    si_products A
WHERE 
    A.visible = 1
    AND A.domain_id = '1'

ORDER BY 
    description asc;

感谢Ollie,我已经尝试用您的建议测试查询,但显然没有改善响应时间。

这是您的方法的结果:

# Query_time: 4.041339  Lock_time: 0.000245  Rows_sent: 100005  Rows_examined: 200029
# Rows_affected: 0
SET timestamp=1455045101;
SELECT p.id, p.description, p.unit_price,
    COALESCE(invoice.quantity,0) as qty_out,
    COALESCE(inventory.quantity,0)as  qty_in,
    coalesce(p.reorder_level,0) as reorder_level ,
    (select qty_in - qty_out ) as quantity

  FROM si_products p
  LEFT JOIN (
            SELECT SUM(quantity) quantity, product_id
                 FROM si_invoice_items 
                GROUP BY product_id
    ) invoice ON p.id = invoice.product_id
  LEFT JOIN (
            SELECT SUM(quantity) quantity, product_id
                 FROM si_inventory 
                GROUP BY product_id
    ) inventory ON p.id = inventory.product_id
 WHERE p.visible = 1
   AND p.domain_id = '1'

 ORDER BY            
         description asc;

3 个答案:

答案 0 :(得分:1)

您可以重构此查询以消除相关子查询(SELECT子句中的嵌套SELECT)。如果使用JOINed summary子查询替换这些相关子查询,则性能可能会提高。

您似乎需要si_invoice_itemssi_inventory表的摘要。

您可以使用以下子查询获取这些摘要:

               SELECT SUM(quantity) quantity, product_id
                 FROM si_invoice_items 
                GROUP BY product_id

               SELECT SUM(quantity) quantity, product_id
                 FROM si_inventory 
                GROUP BY product_id

然后,您可以将这两个子查询视为虚拟表,并将它们加入到您的si_products表中。请注意,您需要使用LEFT JOIN,因为您的某些si_products行可能在其他表中没有匹配的行。

喜欢这样。

SELECT p.id, p.description, p.unit_price,
       COALESCE(invoice.quantity,0) qty_out,
       COALESCE(inventory.quantity,0) qty_in,
       etc, etc
  FROM si_products p
  LEFT JOIN (
               SELECT SUM(quantity) quantity, product_id
                 FROM si_invoice_items 
                GROUP BY product_id
       ) invoice ON p.id = invoice.product_id
  LEFT JOIN (
               SELECT SUM(quantity) quantity, product_id
                 FROM si_inventory 
                GROUP BY product_id
       ) inventory ON p.id = inventory.product_id
 WHERE p.visible = 1
   AND p.domain_id = '1'
 ORDER BY p.description asc;

这将仅在两个表上运行摘要,然后加入它们。所以它应该运行得更快。

编辑您使用此查询获取的行数超过100K。这是一个非常大的结果集,无论如何都需要一段时间。

您可以通过在广告资源和帐单表的(product_id, quahtity)列上定义复合索引来加快摘要(GROUP BY)子查询。

通过在(visible, domain_id)列上定义复合索引,您可以更快地从product表中选择记录。

但是你的应用程序仍然需要研磨十万行。

答案 1 :(得分:0)

我找不到比此查询​​更好的结果:

Query_time:3.174778 Lock_time:0.000250 Rows_sent:100005 Rows_examined:200024

Rows_affected:0

SET timestamp=1455157468;
SELECT  
     A.id, 
     A.description,
     A.unit_price, 
     (SELECT coalesce(sum(B.quantity),0) from si_invoice_items B JOIN si_products A ON B.product_id = A.id) as qty_out ,
     (SELECT coalesce(sum(C.quantity),0) from si_inventory C JOIN si_products A ON C.product_id = A.id) as qty_in ,
     (SELECT coalesce(A.reorder_level,0)) as reorder_level ,
     (SELECT qty_in - qty_out ) as quantity,
     (CASE  WHEN A.enabled = 0 THEN 'Disabled' ELSE 'Enabled' END ) AS enabled
 FROM 
     si_products A
 WHERE 
     A.visible = 1
     AND A.domain_id = '1'

 ORDER BY 
     description asc;

答案 2 :(得分:0)

由于您提供的数量(Rows_sent: 100005),查询速度不会非常快。

这些索引中的任何一个都可能对某些人有所帮助:

INDEX(visible, domain_id, description)
INDEX(domain_id, visible, description)

前两个字段可能有助于过滤;第三个应该防止需要ORDER BY的“filesort”。

表达式就足够了,不要使用子查询。例如:

(SELECT (CASE  WHEN enabled = 0 THEN 'Disabled' ELSE 'Enabled' END )) AS enabled

- >

IF(enabled, 'Enabled', 'Disabled') AS enabled

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