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Rust Diesel,加载来自多个表的 select 列的 sql_query 的结果时出错

[英]Rust Diesel, error loading results of a sql_query that select columns from multiple tables

I tried to execute an sql_query with Diesel that doesn't match a single table and I got the following error:我尝试使用与单个表不匹配的 Diesel 执行 sql_query,但出现以下错误:

    error[E0277]: the trait bound `Untyped: load_dsl::private::CompatibleType<TimeCountSumaryEntry, _>` is not satisfied
        --> src/api/cra_service.rs:263:10
         |
    263  |         .load::<TimeCountSumaryEntry>(connection)
         |          ^^^^ the trait `load_dsl::private::CompatibleType<TimeCountSumaryEntry, _>` is not implemented for `Untyped`
         |
         = help: the trait `load_dsl::private::CompatibleType<U, DB>` is implemented for `Untyped`
         = note: required because of the requirements on the impl of `LoadQuery<'_, _, TimeCountSumaryEntry>` for `SqlQuery`
    note: required by a bound in `diesel::RunQueryDsl::load

Here is the relevant code (where clauses are fixed to simplify experimentations):以下是相关代码(固定 where 子句以简化实验):

#[derive(QueryableByName, Debug)]
struct TimeCountSumaryEntry {
    #[diesel(sql_type = Integer)]
    month: i32,
    #[diesel(sql_type = Integer)]
    year: i32,
    #[diesel(sql_type = Integer)]
    project_id: i32,
    #[diesel(sql_type = Text)]
    project_code: String,
    #[diesel(sql_type = Double)]
    time_spent: f32,
    #[diesel(sql_type = Text)]
    fullname: String,
}

fn _timecount_by_filters(
    user_id: Option<i32>,
    month: Option<u8>,
    year: Option<u16>,
    connection: &mut PgConnection,
) {
    let query =
        "SELECT
            EXTRACT(MONTH FROM tc.date_assigned) as \"month\",
            EXTRACT(YEAR FROM tc.date_assigned) as \"year\",
            tc.project_id as project_id,
            p.project_code as project_code,
            sum(tc.time_spent) as time_spent,
            u.lastname || ' ' || u.firstname as fullname
        FROM
            time_count tc
            JOIN cra c on tc.cra_id = c.cra_id
            JOIN project p on p.project_id = tc.project_id
            JOIN \"user\" u on u.user_id = c.user_id
        WHERE
            u.user_id = 3
            and EXTRACT(MONTH FROM tc.date_assigned) = 8
            and EXTRACT(YEAR FROM tc.date_assigned) = 2022
        GROUP BY
            tc.project_id, u.lastname, u.firstname, \"month\", \"year\", p.project_code
        ORDER BY
            \"year\", \"month\", u.lastname, u.firstname, tc.project_id";

    let time_counts_sumary = diesel::dsl::sql_query(query)
        .load::<TimeCountSumaryEntry>(connection)
        .expect("Error getting cra ids");
    println!("{:?}", time_counts_sumary);
}

I can't find any resource that mention how to deal with this use case (or even that this isn't possible at all).我找不到任何提及如何处理此用例的资源(甚至根本不可能)。 I first tried with the query builder, but it didn't seem possible, so I thought sql_query the way to get those data from DB (postgresql) without getting useless information in the process, but maybe there is a better one.我第一次尝试使用查询生成器,但似乎不可能,所以我认为 sql_query 是从数据库(postgresql)获取这些数据的方法,而不会在过程中获得无用的信息,但也许有更好的方法。

Does anyone have encountered this use case or have any hints about how to deal with it?有没有人遇到过这个用例或有任何关于如何处理它的提示?

If someone have the same problem, I found where it was.如果有人有同样的问题,我找到了它的位置。

Diesel couldn't match types it got from sql_query and what I mentioned in TimeCountSumaryEntry . Diesel 无法匹配从sql_query获得的类型以及我在TimeCountSumaryEntry中提到的类型。

First here:首先在这里:

#[diesel(sql_type = Double)]
time_spent: f32,

I mistyped the Double (it should be f64 )我打错了Double (应该是f64

And second the EXTRACT() function return a numeric in postgresql .第二个EXTRACT() function 在 postgresql 返回一个数字 I could use the numeric diesel feature , but in my case (year and month), an Integer is enough.我可以使用数字柴油功能,但就我而言(年和月),Integer 就足够了。 So I must specify the type in the request with CAST() .所以我必须用CAST()指定请求中的类型。 Like this:像这样:

CAST(EXTRACT(MONTH FROM tc.date_assigned) as Integer) as "month",
CAST(EXTRACT(YEAR FROM tc.date_assigned) as Integer) as "year",

Here is the working code:这是工作代码:

#[derive(QueryableByName, Debug)]
struct TimeCountSumaryEntry {
    #[diesel(sql_type = Integer)]
    month: i32,
    #[diesel(sql_type = Integer)]
    year: i32,
    #[diesel(sql_type = Integer)]
    project_id: i32,
    #[diesel(sql_type = Text)]
    project_code: String,
    #[diesel(sql_type = Double)]
    time_spent: f64,
    #[diesel(sql_type = Text)]
    fullname: String,
}

fn _timecount_by_filters(
    user_id: Option<i32>,
    month: Option<u8>,
    year: Option<u16>,
    connection: &mut PgConnection,
) {
    let query =
        "SELECT
            CAST(EXTRACT(MONTH FROM tc.date_assigned) as integer) as \"month\",
            CAST(EXTRACT(YEAR FROM tc.date_assigned) as integer) as \"year\",
            tc.project_id as project_id,
            p.project_code as project_code,
            sum(tc.time_spent) as time_spent,
            u.lastname || ' ' || u.firstname as fullname
        FROM
            time_count tc
            JOIN cra c on tc.cra_id = c.cra_id
            JOIN project p on p.project_id = tc.project_id
            JOIN \"user\" u on u.user_id = c.user_id
        WHERE
            u.user_id = 3
            and EXTRACT(MONTH FROM tc.date_assigned) = 8
            and EXTRACT(YEAR FROM tc.date_assigned) = 2022
        GROUP BY
            tc.project_id, u.lastname, u.firstname, \"month\", \"year\", p.project_code
        ORDER BY
            \"year\", \"month\", u.lastname, u.firstname, tc.project_id";

    let time_counts_sumary = diesel::dsl::sql_query(query)
        .load::<TimeCountSumaryEntry>(connection)
        .expect("Error getting cra ids");
    println!("{:?}", time_counts_sumary);
}

I found it while trying again to this query with the query builder.我在使用查询生成器再次尝试此查询时发现了它。

I may succeed to get it work that way, I'll edit this answer when it'll be done.我可能会成功让它以这种方式工作,我会在完成后编辑这个答案。

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