查询：
SELECT Count(*)
FROM (SELECT paid.keyword_id,
paid.keyword_name,
stat.orgentrances,
keyword.rank1,
keyword.rank_check,
Sum(paid.clicks) AS sumclick,
Sum(paid.clicks * paid.avg_position) AS
sumclickavgpos,
Sum(paid.itemrevenue) AS sumitem,
Sum(paid.cost) AS sumcost,
Sum(paid.transactions) AS sumtrans,
Sum(paid.impressions) AS
sumimpress,
IF(Sum(paid.impressions) = 0, 0, Sum(
paid.impressions * paid.avg_position) / Sum
(paid.impressions)) AS
sumimpressavgrank,
con.item_revenue,
con.transactions,
keyword.monthly_search_volume
FROM `t_keyword_paid_analytics_google_ib` paid
LEFT JOIN (SELECT outer_t.keyword_id,
Sum(outer_t.item_revenue) AS item_revenue,
Sum(outer_t.transactions) AS transactions
FROM t_keyword_conversion_ga_ib outer_t
WHERE outer_t.own_domain_id = 720
AND outer_t.traffic_date >= '2012-12-01'
AND outer_t.traffic_date <= '2012-12-31'
GROUP BY outer_t.keyword_id) con
ON paid.keyword_id = con.keyword_id
LEFT JOIN (SELECT outer_t.keyword_id,
Sum(outer_t.entrances) AS orgEntrances
FROM t_keyword_stat_ga_ib outer_t
WHERE outer_t.own_domain_id = 720
AND outer_t.traffic_date >= '2012-12-01'
AND outer_t.traffic_date <= '2012-12-31'
AND ( outer_t.medium = 'organic'
OR outer_t.medium IS NULL )
GROUP BY outer_t.keyword_id) stat
ON paid.keyword_id = stat.keyword_id
LEFT JOIN `t_managed_keyword_ib` keyword
ON keyword.id = paid.keyword_id
WHERE paid.own_domain_id = 720
AND paid.traffic_date >= '2012-12-01'
AND paid.traffic_date <= '2012-12-31'
AND ( paid.channel IS NULL
OR paid.channel = 'Google' )
GROUP BY paid.keyword_id
HAVING paid.keyword_id IS NOT NULL) tempt;
(outer_t.medium = 'organic' or outer_t.medium is null ) after outer_t.own_domain_id = 720 and (paid.channel is null or paid.channel = 'Google')
after paid.own_domain_id = 720
表格结构：
mysql> show create table t_keyword_paid_analytics_google_ib\G
*************************** 1. row ***************************
Table: t_keyword_paid_analytics_google_ib
Create Table: CREATE TABLE `t_keyword_paid_analytics_google_ib` (
`keyword_name` varchar(255) DEFAULT NULL,
`id` int(11) NOT NULL,
`keyword_id` int(11) NOT NULL,
`target_url_id` int(11) DEFAULT NULL,
`own_domain_id` int(11) NOT NULL,
`log_date` date NOT NULL,
`traffic_date` date NOT NULL,
`impressions` int(11) DEFAULT NULL,
`clicks` int(11) DEFAULT NULL,
`entrances` int(11) DEFAULT NULL,
`match_type` int(11) DEFAULT NULL COMMENT '1: Phrase, 2: Exact, 3:Broad 4: etc',
`ad_group_name` varchar(200) DEFAULT NULL,
`ad_distribution_network` varchar(500) CHARACTER SET latin1 DEFAULT NULL,
`match_query` varchar(500) CHARACTER SET latin1 DEFAULT NULL,
`cost` decimal(10,2) DEFAULT NULL,
`cpm` decimal(10,2) DEFAULT NULL,
`ctr` decimal(10,2) DEFAULT NULL COMMENT 'percent',
`cpc` decimal(10,2) DEFAULT NULL,
`campaign` varchar(200) CHARACTER SET latin1 DEFAULT NULL,
`keyword_status` tinyint(4) DEFAULT NULL COMMENT '1: Active,2: Approved, 3: Disapproved, 4: Paused , 5:Pending, 6: Failed, 7:etc',
`ad_group_status` tinyint(4) DEFAULT NULL COMMENT '1:ELIGIBLE; 2=PAUSED;3=LOW_SEARCH_VOLUME;4 =LOW_QUALITY_SCORE; 5=DISAPPROVED; 6=AD_GROUP_PAUSED; 7=etc',
`max_cpc` decimal(10,2) DEFAULT NULL,
`quality_score` tinyint(4) DEFAULT NULL,
`channel` varchar(100) DEFAULT NULL,
`first_page_cpc` decimal(10,2) DEFAULT NULL,
`avg_position` decimal(10,2) DEFAULT NULL,
`itemRevenue` decimal(10,2) DEFAULT NULL,
`goal1value` decimal(10,2) DEFAULT NULL,
`goal2value` decimal(10,2) DEFAULT NULL,
`goal3value` decimal(10,2) DEFAULT NULL,
`goal4value` decimal(10,2) DEFAULT NULL,
`transactions` int(10) DEFAULT NULL,
`goal1completions` int(10) DEFAULT NULL,
`goal2completions` int(10) DEFAULT NULL,
`goal3completions` int(10) DEFAULT NULL,
`goal4completions` int(10) DEFAULT NULL
) ENGINE=BRIGHTHOUSE DEFAULT CHARSET=utf8
1 row in set (0.00 sec)
mysql> show create table t_keyword_conversion_ga_ib\G
*************************** 1. row ***************************
Table: t_keyword_conversion_ga_ib
Create Table: CREATE TABLE `t_keyword_conversion_ga_ib` (
`keyword_name` varchar(255) COLLATE latin1_bin DEFAULT NULL,
`id` int(11) NOT NULL,
`own_domain_id` int(11) DEFAULT NULL,
`keyword_id` int(11) DEFAULT NULL,
`traffic_date` date DEFAULT NULL,
`targeturl_id` int(11) DEFAULT NULL,
`entrance` int(11) DEFAULT NULL,
`transactions` int(11) DEFAULT NULL,
`item_revenue` decimal(9,2) DEFAULT NULL,
`goal1completions` int(11) DEFAULT NULL,
`goal2completions` int(11) DEFAULT NULL,
`goal3completions` int(11) DEFAULT NULL,
`goal4completions` int(11) DEFAULT NULL,
`goal5completions` int(11) DEFAULT NULL,
`goal6completions` int(11) DEFAULT NULL,
`goal7completions` int(11) DEFAULT NULL,
`goal8completions` int(11) DEFAULT NULL,
`goal9completions` int(11) DEFAULT NULL,
`goal10completions` int(11) DEFAULT NULL,
`goal1Value` decimal(9,2) DEFAULT NULL,
`goal2Value` decimal(9,2) DEFAULT NULL,
`goal3Value` decimal(9,2) DEFAULT NULL,
`goal4Value` decimal(9,2) DEFAULT NULL,
`goal5Value` decimal(9,2) DEFAULT NULL,
`goal6Value` decimal(9,2) DEFAULT NULL,
`goal7Value` decimal(9,2) DEFAULT NULL,
`goal8Value` decimal(9,2) DEFAULT NULL,
`goal9Value` decimal(9,2) DEFAULT NULL,
`goal10Value` decimal(9,2) DEFAULT NULL,
`medium` varchar(255) COLLATE latin1_bin DEFAULT NULL,
`source` varchar(255) COLLATE latin1_bin DEFAULT NULL
) ENGINE=BRIGHTHOUSE DEFAULT CHARSET=latin1 COLLATE=latin1_bin
1 row in set (0.00 sec)
请在这里帮助我。
答案 0 :(得分：0)
您必须为表添加一些索引，
ALTER TABLE table_name ADD UNIQUE INDEX cate_id(field_name);
在你的情况下，我会将索引添加到：
paid.keyword_id
con.keyword_id
stat.keyword_id
keyword.id
paid.keyword_id
因为您正在加入on这些字段
答案 1 :(得分：0)
您没有指明任何索引。您将需要它们来提高性能。
好的，我不理解分号后的部分，所以我会忽略它。
您的整个查询执行子选择的count（*），但是您在子查询（调用SUM）中进行了一堆聚合，这是数据库不必执行的工作，因此消除了这一点。
您在其他子查询中进行聚合，因此请将其删除。
在您的主要子选择中，您只是在进行计数（*），您可以选择不在您的组中的字段，这对于不影响计数的数据库起作用，因此请删除
这给了我们类似......
select count(*)
from (select paid.keyword_id
from `t_keyword_paid_analytics_google_ib` paid
left join
(select outer_t.keyword_id
from t_keyword_conversion_ga_ib outer_t
where ...
group by outer_t.keyword_id ) con
on paid.keyword_id = con.keyword_id
left join
(select outer_t.keyword_id
from t_keyword_stat_ga_ib outer_t
where ...
group by outer_t.keyword_id) stat on paid.keyword_id = stat.keyword_id
left join `t_managed_keyword_ib` keyword on keyword.id = paid.keyword_id
where ...
group by paid.keyword_id
having paid.keyword_id is not null
) tempt;
此外，计数可能比选择更快，您似乎正在寻找关键字_id并最终计算它们。如果你可以随心所欲，那就比选择更好。我不确定您是否可以将其应用于此查询，但请记住这一点。