如何加快sql查询？

Question

假设有两个表，如：

表格campaign ：

+-------------------+--------------+------+-----+-------------------+-----------------------------+
| Field             | Type         | Null | Key | Default           | Extra                       |
+-------------------+--------------+------+-----+-------------------+-----------------------------+
| id                | int(11)      | NO   | PRI | NULL              | auto_increment              |
| campaign_id       | varchar(64)  | YES  | UNI | NULL              |                             |
| account_id        | varchar(64)  | YES  | MUL | NULL              |                             |
| name              | blob         | YES  |     | NULL              |                             |
| objective         | varchar(64)  | YES  |     | NULL              |                             |
| can_use_spend_cap | tinyint(2)   | YES  |     | NULL              |                             |
| status            | varchar(64)  | YES  |     | NULL              |                             |
| spend_cap         | bigint(14)   | YES  |     | 0                 |                             |
| effective_status  | char(128)    | YES  |     | NULL              |                             |
| promoted_object   | text         | YES  |     | NULL              |                             |
| lifetime_budget   | bigint(14)   | YES  |     | NULL              |                             |
| daily_budget      | bigint(14)   | YES  |     | NULL              |                             |
| update_time       | timestamp    | NO   |     | CURRENT_TIMESTAMP | on update CURRENT_TIMESTAMP |
| create_time       | timestamp    | NO   | MUL | CURRENT_TIMESTAMP |                             |
| task_status       | tinyint(3)   | YES  |     | NULL              |                             |
| is_smb            | tinyint(3)   | YES  |     | NULL              |                             |
| rule_created      | tinyint(4)   | YES  |     | 0                 |                             |
| access_token      | varchar(255) | YES  | MUL | NULL              |                             |
+-------------------+--------------+------+-----+-------------------+-----------------------------+

并且表campaign_statistic

+---------------------------+---------------+------+-----+---------+----------------+
| Field                     | Type          | Null | Key | Default | Extra          |
+---------------------------+---------------+------+-----+---------+----------------+
| id                        | int(11)       | NO   | PRI | NULL    | auto_increment |
| campaign_id               | varchar(64)   | YES  | MUL | NULL    |                |
| account_id                | varchar(64)   | YES  |     | NULL    |                |
| impressions               | int(11)       | YES  |     | NULL    |                |
| clicks                    | int(11)       | YES  |     | NULL    |                |
| spend                     | decimal(14,6) | YES  |     | NULL    |                |
| cpc                       | decimal(14,6) | YES  |     | NULL    |                |
| cpm                       | decimal(14,6) | YES  |     | NULL    |                |
| cpp                       | decimal(14,6) | YES  |     | NULL    |                |
| ctr                       | decimal(14,6) | YES  |     | NULL    |                |
| cost_per_purchase         | decimal(14,6) | YES  |     | NULL    |                |
| cost_per_addtocart        | decimal(14,6) | YES  |     | NULL    |                |
| fb_pixel_addtocart        | int(11)       | YES  |     | NULL    |                |
| fb_pixel_addtocart_values | decimal(14,6) | YES  |     | NULL    |                |
| fb_pixel_purchase         | int(11)       | YES  |     | NULL    |                |
| fb_pixel_purchase_values  | decimal(14,6) | YES  |     | NULL    |                |
| roas                      | decimal(14,6) | YES  |     | NULL    |                |
| roi                       | decimal(14,6) | YES  |     | NULL    |                |
| dt                        | date          | YES  |     | NULL    |                |
+---------------------------+---------------+------+-----+---------+----------------+

我想加入这两个表，然后执行order ， search和time_range工作。

我尝试过这样糟糕的尝试：

EXPLAIN SELECT
    campaign.id AS id,
    campaign.campaign_id AS campaign_id,
    campaign.account_id AS account_id,
    campaign.daily_budget AS daily_budget,
    campaign.lifetime_budget AS lifetime_budget,
    campaign.name AS name,
    campaign.effective_status AS effective_status,
    campaign.daily_budget AS daily_budget,
    statistic.spend AS spend,
    statistic.clicks AS clicks,
    statistic.impressions AS impressions,
    statistic.spend AS spend,
    statistic.fb_pixel_addtocart AS fb_pixel_addtocart,
    statistic.fb_pixel_addtocart_values AS fb_pixel_addtocart_values,
    statistic.fb_pixel_purchase AS fb_pixel_purchase,
    statistic.fb_pixel_purchase_values AS fb_pixel_purchase_values,

    statistic.cpc AS cpc,
    statistic.ctr AS ctr,
    statistic.cpm AS cpm,
    statistic.cost_per_addtocart AS cost_per_addtocart,
    statistic.cost_per_purchase AS cost_per_purchase,
    statistic.roi AS roi,
    statistic.roas AS roas,
    campaign.rule_created AS rule_created,
    campaign.is_smb AS is_smb

    FROM `campaign` as campaign

    LEFT JOIN

    (SELECT

    campaign_id,
    SUM(impressions) AS impressions,
    SUM(clicks) AS clicks,
    ROUND(SUM(spend),2) AS spend,
    SUM(fb_pixel_addtocart) AS fb_pixel_addtocart,
    ROUND(SUM(fb_pixel_addtocart_values),2) AS fb_pixel_addtocart_values,
    ROUND(SUM(fb_pixel_purchase),2) AS fb_pixel_purchase,
    ROUND(SUM(fb_pixel_purchase_values),2) AS fb_pixel_purchase_values,

    ROUND(SUM(clicks)*100/SUM(impressions), 6) AS ctr,
    ROUND(SUM(spend)/SUM(clicks), 6) AS cpc,
    ROUND(SUM(spend)*1000/SUM(impressions), 6) AS cpm,

    ROUND(SUM( spend )/SUM(fb_pixel_addtocart), 6) AS cost_per_addtocart,
    ROUND(SUM( spend )/SUM(fb_pixel_purchase), 6) AS cost_per_purchase,

    ROUND(SUM( fb_pixel_purchase )/SUM(spend), 6) AS roi,
    ROUND(SUM( fb_pixel_purchase )/SUM(spend), 6) AS roas

    FROM `campaign_statistic` WHERE  dt BETWEEN 2019-07-08 AND 2019-07-08  GROUP BY  campaign_id) statistic

    ON statistic.campaign_id = campaign.campaign_id

    WHERE  campaign.account_id = 1000623940119431

    AND (campaign.campaign_id LIKE "%%" OR campaign.name LIKE "%%") ORDER BY id ASC                

它的工作原理但查询速度很慢，很抱歉我是mysql的新手。

如何优化sql并加快查询速度？

任何评论都非常受欢迎。 万分谢意。

更新问题：

使用时，我使用SUM ， ROUND或其他函数计算工作量。 看起来

索引未使用，查询速度更低。 为什么会这样？

1)

EXPLAIN 

SELECT  campaign_id

FROM `campaign_statistic` 

WHERE  dt >= '2019-03-01' AND dt <= '2019-03-31'  

GROUP BY  fb_campaign_id



+----+-------------+----------------------------+-------+--------------------+---------------+---------+------+--------+-----------------------------------------------------------+
| id | select_type | table                      | type  | possible_keys      | key           | key_len | ref  | rows   | Extra                                                     |
+----+-------------+----------------------------+-------+--------------------+---------------+---------+------+--------+-----------------------------------------------------------+
|  1 | SIMPLE      | campaign_statistic         | range | campaign_date,date | campaign_date | 4       | NULL | 567748 | Using where; Using index; Using temporary; Using filesort |
+----+-------------+----------------------------+-------+--------------------+---------------+---------+------+--------+-----------------------------------------------------------+


2) 

EXPLAIN 

SELECT campaign_id,
SUM(impressions) AS impressions

FROM `campaign_statistic` 

WHERE  dt >= '2019-03-01' AND dt <= '2019-03-31'  

GROUP BY  fb_campaign_id



+----+-------------+----------------------------+------+--------------------+------+---------+------+---------+----------------------------------------------+
| id | select_type | table                      | type | possible_keys      | key  | key_len | ref  | rows    | Extra                                        |
+----+-------------+----------------------------+------+--------------------+------+---------+------+---------+----------------------------------------------+
|  1 | SIMPLE      | campaign_statistic         | ALL  | campaign_date,date | NULL | NULL    | NULL | 1647182 | Using where; Using temporary; Using filesort |
+----+-------------+----------------------------+------+--------------------+------+---------+------+---------+----------------------------------------------+

Answer 1

首先，您的查询有一些明显的缺陷。 它应该看起来像：

SELECT . . . 
FROM `campaign` as campaign LEFT JOIN
      (SELECT campaign_id,
              SUM(impressions) AS impressions,
              SUM(clicks) AS clicks,
              ROUND(SUM(spend),2) AS spend,
              SUM(fb_pixel_addtocart) AS fb_pixel_addtocart,
              ROUND(SUM(fb_pixel_addtocart_values),2) AS fb_pixel_addtocart_values,
              ROUND(SUM(fb_pixel_purchase),2) AS fb_pixel_purchase,
              ROUND(SUM(fb_pixel_purchase_values),2) AS fb_pixel_purchase_values,

              ROUND(SUM(clicks)*100/SUM(impressions), 6) AS ctr,
              ROUND(SUM(spend)/SUM(clicks), 6) AS cpc,
              ROUND(SUM(spend)*1000/SUM(impressions), 6) AS cpm,

              ROUND(SUM( spend )/SUM(fb_pixel_addtocart), 6) AS cost_per_addtocart,
              ROUND(SUM( spend )/SUM(fb_pixel_purchase), 6) AS cost_per_purchase,

              ROUND(SUM( fb_pixel_purchase )/SUM(spend), 6) AS roi,
              ROUND(SUM( fb_pixel_purchase )/SUM(spend), 6) AS roas
      FROM `campaign_statistic`
      WHERE dt BETWEEN '2019-07-08' AND '2019-07-08'
      GROUP BY campaign_id
     ) statistic
     ON statistic.campaign_id = campaign.campaign_id
WHERE campaign.account_id = 1000623940119431 AND
      (campaign.campaign_id LIKE '%%' OR campaign.name LIKE '%%') 
ORDER BY id ASC;

一个开始的地方是campaign(account_id, campaign_id, name)的索引campaign(account_id, campaign_id, name) 。 然后是子查询， campaign_statistic(dt, campaign_id) 。

根据数据，您可能会发现“展开”聚合更好。 也就是说，首先执行JOIN ，然后在两个表上进行聚合。

Answer 2

你能避免聚合操作并在你的语言程序中完成吗？