MySql查询超慢

我有以下查询超级慢(仅需4-5秒的结果,我想知道是否有人可以看到任何我可以做不同的查询来加快速度?

谢谢!

SELECT
accounts.id AS account_id,
accounts. NAME AS account_name,
accounts.assigned_user_id account_id_owner,
users.user_name AS assigned_user_name,
opportunities_cstm.firstname_c, opportunities_cstm.lastname_c,
opportunities.`name`, TRIM(
    Concat(
        Ifnull(
            opportunities_cstm.firstname_c,
            ''
        ),
        ' ',
        Ifnull(
            opportunities_cstm.lastname_c,
            ''
        )
    )
) AS 'cfull' FROM
opportunities 
LEFT JOIN users ON opportunities.assigned_user_id = users.id 
LEFT JOIN accounts_opportunities ON opportunities.id = accounts_opportunities.opportunity_id 
LEFT JOIN accounts ON accounts_opportunities.account_id = accounts.id
LEFT JOIN opportunities_cstm ON opportunities.id = opportunities_cstm.id_c
WHERE
(
    (
        opportunities.sales_stage IN (
            'Prospecting',
            'Appointment Set',
            'MeetAndGreet',
            'Qualification',
            'Needs Analysis',
            'Locating Vehicle',
            'Demo',
            'Trade Evaluation',
            'Negotiation',
            'Manager T/O',
            'Write Up',
            'Credit App Submitted',
            'Pending Finance',
            'Loan Approval',
            'Deposit',
            'Delayed Decision',
            'Sold-Vehicle Ordered',
            'Sold-Pending Finance',
            'Sold/Pending Delivery',
            'Price Quoted',
            'Service Pending'
        )
    )
)
AND (
accounts_opportunities.deleted IS NULL
OR accounts_opportunities.deleted = 0
)
AND (
accounts.deleted IS NULL
OR accounts.deleted = 0
)
AND opportunities.deleted = 0
ORDER BY
opportunities.date_entered DESC,
opportunities.id DESC
LIMIT 0,21

以下是来自相同查询的解释:

╔═════════════╦════════════════════════╦════════╦══════════════════════════╦═════════════════════╦═════════╦════════════════════════════════════════════╦═══════╦═════════════════════════════╗
║ select_type ║         table          ║  type  ║      possible_keys       ║         key         ║ key_len ║                    ref                     ║ rows  ║            extra            ║
╠═════════════╬════════════════════════╬════════╬══════════════════════════╬═════════════════════╬═════════╬════════════════════════════════════════════╬═══════╬═════════════════════════════╣
║ simple      ║ opportunities          ║ range  ║ sales_stage, idx_deleted ║ sales_stage         ║      78 ║ null                                       ║ 25161 ║ Using where; Using filesort ║
║ simple      ║ users                  ║ eq_ref ║ PRIMARY, idx_id_deleted  ║ PRIMARY             ║     108 ║ version4.opportunities.assigned_user_id    ║     1 ║                             ║
║ simple      ║ accounts_opportunities ║ ref    ║ idx_oppid_del_accid      ║ idx_oppid_del_accid ║     111 ║ version4.opportunities.id                  ║     1 ║ Using where; Using index    ║
║ simple      ║ accounts               ║ eq_ref ║ PRIMARY,idx_accnt_id_del ║ PRIMARY             ║     108 ║ version4.accounts_opportunities.account_id ║     1 ║ Using where                 ║
║ simple      ║ opportunities_cstm     ║ eq_ref ║ PRIMARY                  ║ PRIMARY             ║     108 ║ version4.opportunities.id                  ║     1 ║                             ║
╚═════════════╩════════════════════════╩════════╩══════════════════════════╩═════════════════════╩═════════╩════════════════════════════════════════════╩═══════╩═════════════════════════════╝

我看到两个问题。

首先,您使用两个不同的WHERE (... IS NULL OR ... = 0)条件。 那些无法形容的缓慢。 这是因为索引对查找NULL值没有用处。 如果你可以在这些deleted列中deleted NULL的可能性,也许可以通过声明它们为NOT NULL DEFAULT 0来将这些标准更改为WHERE ... = 0 。 这应该会加速很多事情。 这是因为索引对查找NULL值没有用处。

其次,您正在创建一个伟大的连接结果集,然后对其进行排序以查找最近的项目。

在加入之前,您可以尝试从“机会”表中预先选择项目。 做这样的事情:

SELECT   whatever....
FROM (
         SELECT * 
           FROM opportunities
          WHERE opportunities.deleted = 0
            AND opportunities.sales_stage IN (
            'Prospecting',
            'Appointment Set',  etc etc  ...
            'Service Pending' )
       ORDER BY opportunities.date_entered DESC,
                opportunities.id DESC
          LIMIT 0,21
      ) opportunities 
LEFT JOIN users ON opportunities.assigned_user_id = users.id
...
ORDER BY
opportunities.date_entered DESC,
opportunities.id DESC
LIMIT 0,21

这很可能可以通过从连接的右侧删除一堆记录来减少LEFT JOIN操作的基数来加快速度。


我不确定它会有什么改进,但我会尝试的是这样的:

SELECT your_fields
FROM
  (SELECT * --or just the fields you need
   FROM
     opportunities
   WHERE
     opportunities.deleted = 0 AND
     opportunities.sales_stage IN (stage1, stage2, ...)
  ) opportunities1
  LEFT JOIN users ON opportunities1.assigned_user_id = users.id 
  LEFT JOIN accounts_opportunities ON opportunities1.id = ...etc...
WHERE
  (accounts_opportunities.deleted IS NULL
   OR accounts_opportunities.deleted = 0)
  AND (accounts.deleted IS NULL OR accounts.deleted = 0)
ORDER BY ...etc...

让我知道是否有任何改进(但也可能会变慢)。 另一个想法是使用一个包含你需要过滤的所有阶段的表格:

CREATE TABLE filter_stage (
  stage varchar(255));

(255或尝试匹配sales_stage的实际长度,如果您也为此列编制索引,则更好),在其中输入要筛选的所有字符串:

INSERT INTO filter_stage VALUES ('Prospecting'), ('Appointment Set'), ('...'), ...

那么你从你的第一个查询中删除你的IN子句,然后你的FROM变成:

FROM
  opportunities INNER JOIN filter_stage
  ON opportunities.sales_stage = filter_stage.stage
  LEFT JOIN ...

让我知道它是否有效!


不要使用IN。 IN在mysql中运行缓慢,使用Exists

DROP TABLE IF EXISTS tempTable;
CREATE TEMPORARY TABLE tempTable ( sales_stage VARCHAR(50) NOT NULL );
insert into tempTable () values ('Prospecting'),('Appointment Set'),('MeetAndGreet'),...,('Service Pending');

SELECT
...
WHERE EXISTS(select sales_stage from tempTable where opportunities.sales_stage = sales_stage);
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