我有以下SQL获得正确的结果:
SELECT
companies.name as company_name,
locations.country_code as location,
ad_messages.ad_template_name as creative,
impressions.width as width,
impressions.height as height,
count('impressions.id') as impressions
FROM "impressions"
INNER JOIN "ad_messages" ON "ad_messages"."id" = "impressions"."ad_message_id"
INNER JOIN "visitors" ON "visitors"."id" = "ad_messages"."visitor_id"
INNER JOIN "companies" ON "companies"."visitor_id" = "visitors"."id"
INNER JOIN "locations" ON "locations"."visitor_id" = "visitors"."id"
WHERE (visitors.user_id = 171)
AND (impressions.created_at >= '2016-03-17 16:17:20.241276'
AND impressions.created_at <= '2016-05-16 16:17:20.241336')
GROUP BY
companies.name,
locations.country_code,
ad_messages.ad_template_name,
impressions.width,
impressions.height
ORDER BY
companies.name,
locations.country_code,
ad_messages.ad_template_name,
impressions.width,
impressions.height
我将结果(展示次数)分组并对sub_name,sub_name和ad_messages进行了分组。
我可以重复点击过程并获得不同过滤器分组和分组的结果(点击次数),如下所示:
SELECT
companies.name as company_name,
locations.country_code as location,
ad_messages.ad_template_name as creative,
ad_clicks.width as width,
ad_clicks.height as height,
count('ad_clicks.id') as ad_clicks
FROM "ad_messages"
INNER JOIN "ad_clicks" ON "ad_clicks"."ad_message_id" = "ad_messages"."id"
INNER JOIN "visitors" ON "visitors"."id" = "ad_messages"."visitor_id"
INNER JOIN "companies" ON "companies"."visitor_id" = "visitors"."id"
INNER JOIN "locations" ON "locations"."visitor_id" = "visitors"."id"
WHERE (visitors.user_id = 171)
AND (ad_clicks.created_at >= '2016-03-17 16:17:20.241276'
AND ad_clicks.created_at <= '2016-05-16 16:17:20.241336')
GROUP BY
companies.name,
locations.country_code,
ad_messages.ad_template_name,
ad_clicks.width,
ad_clicks.height
ORDER BY
companies.name,
locations.country_code,
ad_messages.ad_template_name,
ad_clicks.width,
ad_clicks.height
但是 - 我想在一个查询中结合展示次数和点击次数,我试过了:
SELECT
companies.name as company_name,
locations.country_code as location,
ad_messages.ad_template_name as creative,
impressions.width as width,
impressions.height as height,
ad_clicks.width as click_width,
ad_clicks.height as click_height,
count('impressions.id') as impressions,
count('ad_clicks.id') as clicks
FROM "ad_messages"
INNER JOIN "impressions" ON "impressions"."ad_message_id" = "ad_messages"."id"
INNER JOIN "visitors" ON "visitors"."id" = "ad_messages"."visitor_id"
INNER JOIN "companies" ON "companies"."visitor_id" = "visitors"."id"
INNER JOIN "locations" ON "locations"."visitor_id" = "visitors"."id"
LEFT JOIN "ad_clicks" ON "ad_clicks"."ad_message_id" = "ad_messages"."id"
WHERE (visitors.user_id = 171)
AND (impressions.created_at >= '2016-03-17 16:17:20.241276'
AND impressions.created_at <= '2016-05-16 16:17:20.241336')
GROUP BY
companies.name,
locations.country_code,
ad_messages.ad_template_name,
impressions.width,
impressions.height,
ad_clicks.width,
ad_clicks.height
这给了我完全错误的结果! count(impression)和count(ad_clicks)具有相同的值。有什么方法可以从一个SQL获得正确的计数吗?
感谢任何帮助。谢谢!
答案 0 :(得分:1)
您可以像这样使用count(col_name) over (partition by .... order by ...)
,使用select distinct
代替group by
。并尝试使用alias
代替full_table_name
。
SELECT DISTINCT
companies.name as company_name,
locations.country_code as location,
ad_messages.ad_template_name as creative,
impressions.width as width,
impressions.height as height,
ad_clicks.width as click_width,
ad_clicks.height as click_height,
count('impressions.id') over (partition by companies.name, locations.country_code,
ad_messages.ad_template_name, impressions.width, impressions.height
order by companies.name, locations.country_code, ad_messages.ad_template_name,
impressions.width, impressions.height) as impressions,
count('ad_clicks.id') over (partition by companies.name, locations.country_code,
ad_messages.ad_template_name, ad_clicks.width, ad_clicks.height
order by companies.name, locations.country_code, ad_messages.ad_template_name,
ad_clicks.width, ad_clicks.height ) as clicks
FROM "ad_messages"
INNER JOIN "impressions" ON "impressions"."ad_message_id" = "ad_messages"."id"
INNER JOIN "visitors" ON "visitors"."id" = "ad_messages"."visitor_id"
INNER JOIN "companies" ON "companies"."visitor_id" = "visitors"."id"
INNER JOIN "locations" ON "locations"."visitor_id" = "visitors"."id"
LEFT JOIN "ad_clicks" ON "ad_clicks"."ad_message_id" = "ad_messages"."id"
WHERE (visitors.user_id = 171)
AND (impressions.created_at >= '2016-03-17 16:17:20.241276'
AND impressions.created_at <= '2016-05-16 16:17:20.241336')
ORDER BY
companies.name,
locations.country_code,
ad_messages.ad_template_name,
impressions.width,
impressions.height,
ad_clicks.width,
ad_clicks.height
中的测试