假设我有3行数据:
id product_uuid version_uuid created_at
22 586d8e21b9529d14801b91bd 5a711a0094df04e23833d8ef 2018-02-10 19:51:15.075-05
23 586d8e21b9529d14801b91bd 5a711a0094df04e23833d8ef 2018-02-10 19:51:16.077-07
24 586d8e21b9529d14801b91bd 5a711a0094df04e23833d8ef 2018-02-11 19:51:15.077-05
我希望白天通过created_at
列对它们进行分组。
SELECT created_at::date, COUNT(*)
FROM table_name
WHERE product_uuid = '586d8e21b9529d14801b91bd'
AND created_at > now() - interval '30 days'
GROUP BY created_at
ORDER BY created_at ASC
我希望这会产生2行:
created_at count
2018-02-10 2
2018-02-11 1
但我实际得到3行:
created_at count
2018-02-10 1
2018-02-10 1
2018-02-11 1
我意识到GROUP BY
仍然按细粒度时间戳进行分组,但我不确定如何让Postgres使用截断日期代替。
答案 0 :(得分:5)
您还需要在GROUP BY
中截断:
SELECT created_at::date, COUNT(*)
FROM table_name
WHERE product_uuid = '586d8e21b9529d14801b91bd' AND
created_at > now() - interval '30 days'
GROUP BY created_at::date
ORDER BY created_at::date ASC;
您的版本按每个日期/时间值汇总,但仅显示日期组件。
此外,我建议您使用current_date
而不是now()
,这样第一个日期就不会被截断。
答案 1 :(得分:1)
您可以按个别时间戳(包括一天中的时间)查询组,然后将它们转换为分组后的日期。如果您想要每个日期使用rwo,则应将转换添加到date
子句中的group by
:
SELECT created_at::date, COUNT(*)
FROM table_name
WHERE product_uuid = '586d8e21b9529d14801b91bd'
AND created_at > now() - interval '30 days'
GROUP BY created_at::date -- Here!
ORDER BY created_at 1 ASC
答案 2 :(得分:0)
您需要将format日期作为字符串。所以这样做:
SELECT to_char(created_at,'YYYY-MM-DD'), COUNT(*) AS `Count`
FROM table_name
WHERE product_uuid = '586d8e21b9529d14801b91bd'
AND created_at > now() - interval '30 days'
GROUP BY to_char(created_at,'YYYY-MM-DD')
ORDER BY to_char(created_at,'YYYY-MM-DD') ASC;