如何在 postgres 中按日期过滤 - 从 mysql 到 postgres
How to filter by dates in postgres - coverting from mysql to postgres
更新: 我正在尝试将 mysql 代码翻译成 postgres 代码,我想在我的 where 子句中的两个日期之间进行过滤
原版Mysql
SELECT concat(month(DD1.open_date),'/', DATE_FORMAT(DD1.open_date, '%y')) AS month_year,
venues.name AS venue_name,
DD1.`server_name` AS SERVER_NAME,
DD1.`server_id` AS `Server ID`,
AVG(lr.`rating`) AS server_overall_rating,
all_overall_rating,
AVG(lr.`service`) AS server_service_rating,
all_service_rating,
avg(spend) AS server_check_avg,
all_check_avg,
avg(cover_avg) AS server_cover_avg,
all_cover_avg
FROM loyalty_visits DD1
JOIN
(SELECT avg(lr.rating) AS all_overall_rating,
avg(lr.service) AS all_service_rating,
avg(cover_avg) AS all_cover_avg,
avg(spend) AS all_check_avg,
open_date
FROM loyalty_visits lv
LEFT OUTER JOIN loyalty_ratings lr ON lr.loyalty_visit_id = lv.id
WHERE lv.venue_id = 4046
AND open_date BETWEEN date_sub(now(), interval 12 MONTH) AND now()
GROUP BY lv.venue_ID,
MONTH(open_date), year(open_date)) AS overall_cover_avg ON MONTH(overall_cover_avg.open_date) = MONTH(DD1.open_date)
AND year(overall_cover_avg.open_date) = year(DD1.open_date)
LEFT OUTER JOIN loyalty_member_visits lmv ON lmv.loyalty_visit_id = DD1.id
LEFT OUTER JOIN loyalty_ratings lr ON lmv.loyalty_visit_id = lr.loyalty_visit_id
JOIN venues ON venues.id = DD1.venue_id
WHERE DD1.parent_venue_id = 4041
AND DD1.server_id = 6991
AND DD1.venue_id = 4046
AND DD1.open_date BETWEEN date('2015-01-29 14:15:55') AND date('2013-09-29 10:15:55')
GROUP BY DD1.venue_ID,
MONTH(DD1.open_date), year(DD1.open_date)
ORDER BY DD1.open_date LIMIT 6
Postgres
注意:我知道我的投影与原来的 mysql 相比并不完全存在,这是因为我实际上试图理解子查询(我不知道它是如何工作的)并且还试图了解其中的一些select 语句来自 mysql 版本,因此我可以充分转换为 Postgres。
还有
loyalty_visits as DD1 in Mysql 在 Postgres 中更改为 members_visits as mv,loyalty_ratings as lr 在 Postgres 中更改为 just ratings as r。其余的应该还是一样的。
SELECT mv.check_number,
mv.open_date,
mv.code,
mv.cover_avg,
reservation_loyalty_user_id,
v.restaurant_id,
table_name,
terminal_id
FROM member_visits as mv
FROM member_visits as mv
JOIN
(SELECT avg(lr.rating) AS all_overall_rating,
avg(lr.service) AS all_service_rating,
avg(cover_avg) AS all_cover_avg,
avg(spend) AS all_check_avg,
open_date
FROM loyalty_visits lv
LEFT OUTER JOIN ratings lr ON lr.loyalty_visit_id = lv.id
WHERE lv.venue_id = 4046
AND open_date BETWEEN date_sub(now(), interval 3 MONTH) AND now()
GROUP BY lv.venue_ID,
MONTH(open_date), year(open_date)) AS overall_cover_avg ON MONTH(overall_cover_avg.open_date) = MONTH(DD1.open_date)
AND year(overall_cover_avg.open_date) = year(DD1.open_date)
LEFT JOIN ratings r
ON mv.loyalty_visit_id = r.loyalty_visit_id
JOIN venues v
ON v.id = mv.venue_id
WHERE mv.parent_venue_id = 4041
AND mv.server_id = 6991
AND mv.venue_id = 4046
AND mv.open_date BETWEEN date_trunc('2015/01/20', day) AND date_trunc('2013/09/29', day)
GROUP BY mv.venue_ID,
MONTH(mv.open_date), YEAR(mv.open_date)
ORDER BY mv.open_date
limit 10
我遇到两个错误:
1) 在这一行
AND open_date BETWEEN date_sub(now(), interval 12 MONTH) AND now()
,
难不成从现在到12个月没有数据?我不确定如何调试它。
2) 我也收到一条错误消息
invalid input syntax for integer: "2015-01-2013 14:15:55"
我看过这个 post Filter by Dates in SQL 但我不确定我是否喜欢这个解决方案,它是一个 SQL 解决方案。然后我尝试玩 date_trunc
但我也不确定那是否正确。
我应该使用什么?
There is no date_sub()
Postgres 中的函数。只需从时间戳(或日期)中减去时间间隔。您的间隔文字也是错误的。
SQL 标准要求将值放在单引号中,例如interval '12' month
或 interval '5' minute
。 Postgres 还允许一种语法,其中值和单位用单引号 interval '1 month'
AND open_date BETWEEN now() - interval '12' MONTH AND now()
您的 date_trunc
使用情况 is also wrong。字符串文字 '2015/01/20'
仅当您当前的日期格式与此匹配时才会转换为日期。一般来说,使用 ANSI 日期文字 much 更好,以确保您的 SQL 在每个环境中运行,无论日期格式设置如何:
date_trunc('day', DATE '2015-01-20')
Postgres 也(始终)接受使用 ISO 格式的字符串文字,因此 '2015-01-20'
与 PostgresDATE '2015-01-20'
中的工作方式相同
Postgres 中也没有 date()
函数。我建议使用 ANSI 日期和时间戳文字。因此,请使用符合 SQL 标准的 timestamp '2015-01-29 14:15:55'
而不是 date('2015-01-29 14:15:55')
。如果您不想使用 ISO 日期格式,则应使用 to_date()
或 to_timestamp()
functions with an appropriate format mask.
Postgres 中也没有 date_format
函数。使用 to_char()
。又是这个is documented in the manual
Postgres 中也没有 year()
或 month()
函数。使用 SQL 标准:extract(year from open_date)
或 extract(month from open_date)
或 Postgres 特定的 date_part()
函数。这也是documented in the manual
更新: 我正在尝试将 mysql 代码翻译成 postgres 代码,我想在我的 where 子句中的两个日期之间进行过滤
原版Mysql
SELECT concat(month(DD1.open_date),'/', DATE_FORMAT(DD1.open_date, '%y')) AS month_year,
venues.name AS venue_name,
DD1.`server_name` AS SERVER_NAME,
DD1.`server_id` AS `Server ID`,
AVG(lr.`rating`) AS server_overall_rating,
all_overall_rating,
AVG(lr.`service`) AS server_service_rating,
all_service_rating,
avg(spend) AS server_check_avg,
all_check_avg,
avg(cover_avg) AS server_cover_avg,
all_cover_avg
FROM loyalty_visits DD1
JOIN
(SELECT avg(lr.rating) AS all_overall_rating,
avg(lr.service) AS all_service_rating,
avg(cover_avg) AS all_cover_avg,
avg(spend) AS all_check_avg,
open_date
FROM loyalty_visits lv
LEFT OUTER JOIN loyalty_ratings lr ON lr.loyalty_visit_id = lv.id
WHERE lv.venue_id = 4046
AND open_date BETWEEN date_sub(now(), interval 12 MONTH) AND now()
GROUP BY lv.venue_ID,
MONTH(open_date), year(open_date)) AS overall_cover_avg ON MONTH(overall_cover_avg.open_date) = MONTH(DD1.open_date)
AND year(overall_cover_avg.open_date) = year(DD1.open_date)
LEFT OUTER JOIN loyalty_member_visits lmv ON lmv.loyalty_visit_id = DD1.id
LEFT OUTER JOIN loyalty_ratings lr ON lmv.loyalty_visit_id = lr.loyalty_visit_id
JOIN venues ON venues.id = DD1.venue_id
WHERE DD1.parent_venue_id = 4041
AND DD1.server_id = 6991
AND DD1.venue_id = 4046
AND DD1.open_date BETWEEN date('2015-01-29 14:15:55') AND date('2013-09-29 10:15:55')
GROUP BY DD1.venue_ID,
MONTH(DD1.open_date), year(DD1.open_date)
ORDER BY DD1.open_date LIMIT 6
Postgres 注意:我知道我的投影与原来的 mysql 相比并不完全存在,这是因为我实际上试图理解子查询(我不知道它是如何工作的)并且还试图了解其中的一些select 语句来自 mysql 版本,因此我可以充分转换为 Postgres。
还有
loyalty_visits as DD1 in Mysql 在 Postgres 中更改为 members_visits as mv,loyalty_ratings as lr 在 Postgres 中更改为 just ratings as r。其余的应该还是一样的。
SELECT mv.check_number,
mv.open_date,
mv.code,
mv.cover_avg,
reservation_loyalty_user_id,
v.restaurant_id,
table_name,
terminal_id
FROM member_visits as mv
FROM member_visits as mv
JOIN
(SELECT avg(lr.rating) AS all_overall_rating,
avg(lr.service) AS all_service_rating,
avg(cover_avg) AS all_cover_avg,
avg(spend) AS all_check_avg,
open_date
FROM loyalty_visits lv
LEFT OUTER JOIN ratings lr ON lr.loyalty_visit_id = lv.id
WHERE lv.venue_id = 4046
AND open_date BETWEEN date_sub(now(), interval 3 MONTH) AND now()
GROUP BY lv.venue_ID,
MONTH(open_date), year(open_date)) AS overall_cover_avg ON MONTH(overall_cover_avg.open_date) = MONTH(DD1.open_date)
AND year(overall_cover_avg.open_date) = year(DD1.open_date)
LEFT JOIN ratings r
ON mv.loyalty_visit_id = r.loyalty_visit_id
JOIN venues v
ON v.id = mv.venue_id
WHERE mv.parent_venue_id = 4041
AND mv.server_id = 6991
AND mv.venue_id = 4046
AND mv.open_date BETWEEN date_trunc('2015/01/20', day) AND date_trunc('2013/09/29', day)
GROUP BY mv.venue_ID,
MONTH(mv.open_date), YEAR(mv.open_date)
ORDER BY mv.open_date
limit 10
我遇到两个错误:
1) 在这一行
AND open_date BETWEEN date_sub(now(), interval 12 MONTH) AND now()
,
难不成从现在到12个月没有数据?我不确定如何调试它。
2) 我也收到一条错误消息
invalid input syntax for integer: "2015-01-2013 14:15:55"
我看过这个 post Filter by Dates in SQL 但我不确定我是否喜欢这个解决方案,它是一个 SQL 解决方案。然后我尝试玩 date_trunc
但我也不确定那是否正确。
我应该使用什么?
There is no date_sub()
Postgres 中的函数。只需从时间戳(或日期)中减去时间间隔。您的间隔文字也是错误的。
SQL 标准要求将值放在单引号中,例如interval '12' month
或 interval '5' minute
。 Postgres 还允许一种语法,其中值和单位用单引号 interval '1 month'
AND open_date BETWEEN now() - interval '12' MONTH AND now()
您的 date_trunc
使用情况 is also wrong。字符串文字 '2015/01/20'
仅当您当前的日期格式与此匹配时才会转换为日期。一般来说,使用 ANSI 日期文字 much 更好,以确保您的 SQL 在每个环境中运行,无论日期格式设置如何:
date_trunc('day', DATE '2015-01-20')
Postgres 也(始终)接受使用 ISO 格式的字符串文字,因此 '2015-01-20'
与 PostgresDATE '2015-01-20'
中的工作方式相同
Postgres 中也没有 date()
函数。我建议使用 ANSI 日期和时间戳文字。因此,请使用符合 SQL 标准的 timestamp '2015-01-29 14:15:55'
而不是 date('2015-01-29 14:15:55')
。如果您不想使用 ISO 日期格式,则应使用 to_date()
或 to_timestamp()
functions with an appropriate format mask.
Postgres 中也没有 date_format
函数。使用 to_char()
。又是这个is documented in the manual
Postgres 中也没有 year()
或 month()
函数。使用 SQL 标准:extract(year from open_date)
或 extract(month from open_date)
或 Postgres 特定的 date_part()
函数。这也是documented in the manual