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  1. 我的查询需要很长时间，大约需要 1 小时。2.因此，它影响了数据库性能。3.即使是解释计划也需要很长时间。4.我的查询很大。

询问：

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;

表结构：

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。

4

1 回答 1

2

创建索引并更改 where 条件。放在(outer_t.medium = 'organic' or outer_t.medium is null )后面outer_t.own_domain_id = 720和(paid.channel is null or paid.channel = 'Google')后面paid.own_domain_id = 720。试试吧，我希望它能让你的查询更快。

于 2013-02-01T10:05:59.313 回答