访问带聚合函数的裸列 w/o 添加到分组依据

Access Bare Columns w/ Aggregate Function w/o adding to Group By

我在 postgres 中有 2 个 table。

用户

auth0_id email
123-A a@a
123-B b@b
123-C c@c

auth0_logs

id date user_id client_name
abc-1 021-10-16T00:18:41.381Z 123-A example_client
abc-2 ... 123-A example_client
abc-3 ... 123-B example_client
abc-4 ... 123-A example_client
abc-5 ... 123-B example_client
abc-6 ... 123-C example_client

我正在尝试为每个唯一用户 (auth0_logs.user_id) 加入到用户 table on user.auth0_id.

[
    {
        // auth0_logs information
        user_id: "123-A",
        last_login: "021-10-16T00:18:41.381Z",
        client_name: "example_client",

        // users information
        email: "a@a"
    },
    {
        user_id: "123-B",
        last_login: "...",
        client_name: "example_client",
        email: "b@b"
    },
    {
        user_id: "123-C",
        last_login: "...",
        client_name: "example_client",
        email: "c@c"
    }
]

我知道这是一个问题,在使用聚合器的查询中不允许使用“裸”列(没有添加到 GROUP BY —— 但添加到 GROUP BY 返回 > 1 行)但我无法获得适用于其他 SO post 的解决方案(我发现的最佳 post:SQL select only rows with max value on a column)。我向你保证,在过去的几天里,我已经为此花费了很多时间....

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我已经删除了我不正确的尝试,以免混淆/误导未来的读者。请根据上述信息使用 WITH 子句查看@MichaelRobellard 的回答。

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任何帮助或进一步的研究方向将不胜感激!

with
t as 
(
 select distinct on (user_id) * 
 from login_logs 
 order by user_id, ldate desc
),
tt as 
(
 select auth0_id user_id, ldate last_login, client_name, email
 from t join users on auth0_id = user_id
) 
select json_agg(to_json(tt.*)) from tt;

SQL fiddle here.

with user_data as (
    select user_id, max(date) from auth0_logs group by user_id
)
select * from user_data
join auth0_logs on user_data.user_id = auth0_logs.user_id 
    and user_data.date = auth0_logs.date
join users on user_data.user_id = users.auth0_id