我正在将一个简单的费用数据库移植到Postgres,并使用GROUP BY
和多个JOIN
子句卡在一个视图上。我认为Postgres希望我使用GROUP BY
子句中的所有表格。
表定义在最后。请注意,account_id
,receiving_account_id
和place
列可能是NULL
,而operation
可以有0个标签。
CREATE
声明CREATE VIEW details AS SELECT
op.id,
op.name,
c.name,
CASE --amountsign
WHEN op.receiving_account_id IS NOT NULL THEN
CASE
WHEN op.account_id IS NULL THEN '+'
ELSE '='
END
ELSE '-'
END || ' ' || printf("%.2f", op.amount) || ' zł' AS amount,
CASE --account
WHEN op.receiving_account_id IS NOT NULL THEN
CASE
WHEN op.account_id IS NULL THEN ac2.name
ELSE ac.name || ' -> ' || ac2.name
END
ELSE ac.name
END AS account,
t.name AS type,
CASE --date
WHEN op.time IS NOT NULL THEN op.date || ' ' || op.time
ELSE op.date
END AS date,
p.name AS place,
GROUP_CONCAT(tag.name, ', ') AS tags
FROM operation op
LEFT JOIN category c ON op.category_id = c.id
LEFT JOIN type t ON op.type_id = t.id
LEFT JOIN account ac ON op.account_id = ac.id
LEFT JOIN account ac2 ON op.receiving_account_id = ac2.id
LEFT JOIN place p ON op.place_id = p.id
LEFT JOIN operation_tag ot ON op.id = ot.operation_id
LEFT JOIN tag ON ot.tag_id = tag.id
GROUP BY IFNULL (ot.operation_id, op.id)
ORDER BY date DESC
我做了一些更新,我目前的陈述是:
BEGIN TRANSACTION;
CREATE VIEW details AS SELECT
op.id,
op.name,
c.name,
CASE --amountsign
WHEN op.receiving_account_id IS NOT NULL THEN
CASE
WHEN op.account_id IS NULL THEN '+'
ELSE '='
END
ELSE '-'
END || ' ' || op.amount || ' zł' AS amount,
CASE --account
WHEN op.receiving_account_id IS NOT NULL THEN
CASE
WHEN op.account_id IS NULL THEN ac2.name
ELSE ac.name || ' -> ' || ac2.name
END
ELSE ac.name
END AS account,
t.name AS type,
CASE --date
WHEN op.time IS NOT NULL THEN to_char(op.date, 'DD.MM.YY') || ' ' || op.time
ELSE to_char(op.date, 'DD.MM.YY')
END AS date,
p.name AS place,
STRING_AGG(tag.name, ', ') AS tags
FROM operation op
LEFT JOIN category c ON op.category_id = c.id
LEFT JOIN type t ON op.type_id = t.id
LEFT JOIN account ac ON op.account_id = ac.id
LEFT JOIN account ac2 ON op.receiving_account_id = ac2.id
LEFT JOIN place p ON op.place_id = p.id
LEFT JOIN operation_tag ot ON op.id = ot.operation_id
LEFT JOIN tag ON ot.tag_id = tag.id
GROUP BY COALESCE (ot.operation_id, op.id)
ORDER BY date DESC;
COMMIT;
我添加列出的错误时出现Column 'x' must appear in GROUP BY clause
错误:
GROUP BY COALESCE(ot.operation_id, op.id), op.id, c.name, ac2.name, ac.name, t.name, p.name
当我添加p.name
列时,我得到Column 'p.name' is defined more than once error.
如何解决此问题?
CREATE TABLE operation (
id integer NOT NULL PRIMARY KEY,
name character varying(64) NOT NULL,
category_id integer NOT NULL,
type_id integer NOT NULL,
amount numeric(8,2) NOT NULL,
date date NOT NULL,
"time" time without time zone NOT NULL,
place_id integer,
account_id integer,
receiving_account_id integer,
CONSTRAINT categories_transactions FOREIGN KEY (category_id)
REFERENCES category (id) MATCH SIMPLE
ON UPDATE NO ACTION ON DELETE NO ACTION,
CONSTRAINT transactions_accounts FOREIGN KEY (account_id)
REFERENCES account (id) MATCH SIMPLE
ON UPDATE NO ACTION ON DELETE NO ACTION,
CONSTRAINT transactions_accounts_second FOREIGN KEY (receiving_account_id)
REFERENCES account (id) MATCH SIMPLE
ON UPDATE NO ACTION ON DELETE NO ACTION,
CONSTRAINT transactions_places FOREIGN KEY (place_id)
REFERENCES place (id) MATCH SIMPLE
ON UPDATE NO ACTION ON DELETE NO ACTION,
CONSTRAINT transactions_transaction_types FOREIGN KEY (type_id)
REFERENCES type (id) MATCH SIMPLE
ON UPDATE NO ACTION ON DELETE NO ACTION
);
答案 0 :(得分:3)
与@Andomar already provided类似:大多数RDBMS都需要按照未显示的每一列进行分组 - 查询中的任何其他位置(包括SELECT
列表,还包括WHERE
子句等)
SQL标准还定义GROUP BY
子句中的表达式还应涵盖依赖于功能的表达式。 Postgres实现了 PK列涵盖了同一个表的所有列。
所以op.id
涵盖整个表格,这应该适用于您当前的查询:
GROUP BY op.id, c.name, 5, t.name, p.name
5
是SELECT
列表的位置参考,这在Postgres中也是允许的。它只是重复长表达式的符号简写:
CASE
WHEN op.receiving_account_id IS NOT NULL THEN
CASE
WHEN op.account_id IS NULL THEN ac2.name
ELSE ac.name || ' -> ' || ac2.name
END
ELSE ac.name
END
我从你的名字中得出你在operation
和tag
之间的n:m关系,用operation_tag
实现。所有其他联接似乎不会增加行数,因此单独聚合标记会更有效 - 就像@Andomar暗示的那样,只是让逻辑正确。
这应该有效:
SELECT op.id
, op.name
, c.name
, CASE -- amountsign
WHEN op.receiving_account_id IS NOT NULL THEN
CASE WHEN op.account_id IS NULL THEN '+' ELSE '=' END
ELSE '-'
END || ' ' || op.amount || ' zł' AS amount
, CASE -- account
WHEN op.receiving_account_id IS NOT NULL THEN
CASE
WHEN op.account_id IS NULL THEN ac2.name
ELSE ac.name || ' -> ' || ac2.name
END
ELSE ac.name
END AS account
, t.name AS type
, to_char(op.date, 'DD.MM.YY') || ' ' || op.time AS date -- see below
, p.name AS place
, ot.tags
FROM operation op
LEFT JOIN category c ON op.category_id = c.id
LEFT JOIN type t ON op.type_id = t.id
LEFT JOIN account ac ON op.account_id = ac.id
LEFT JOIN account ac2 ON op.receiving_account_id = ac2.id
LEFT JOIN place p ON op.place_id = p.id
LEFT JOIN (
SELECT operation_id, string_agg(t.name, ', ') AS tags
FROM operation_tag ot
LEFT JOIN tag t ON t.id = ot.tag_id
GROUP BY 1
) ot ON op.id = ot.operation_id
ORDER BY op.date DESC, op.time DESC;
您可以替换:
CASE --date
WHEN op.time IS NOT NULL THEN to_char(op.date, 'DD.MM.YY') || ' ' || op.time
ELSE to_char(op.date, 'DD.MM.YY')
END AS date
这个较短的等价物:
concat_ws(' ', to_char(op.date, 'DD.MM.YY'), op.time) AS date
但由于两列都已定义NOT NULL
,因此您可以简化为:
to_char(op.date, 'DD.MM.YY') || ' ' || op.time AS date
小心ORDER BY
您至少有一个名为date
的输入列。如果您使用非限定名称,它将引用输出列 - 这是您想要的(在注释中阐明)。详细说明:
但是 ,按文字表示排序不会根据您的时间线正确排序。按原始值排序,而不是我上面的查询中建议的。
答案 1 :(得分:2)
大多数数据库要求您group by
在select
中未按照集体显示的每一列min
。 Unaggregated意味着没有包含在max
,string_agg
或op.id, op.name, c.name, op.receiving_account_id, ...
这样的聚合中。所以你需要分组:group by
等等。
此要求的原因是数据库必须确定该组的值。通过将列添加到group by
子句,可以确认组中的每一行都具有相同的值。对于其他组,您必须指定要与聚合一起使用的值。例外是MySQL,如果你没有做出有意识的选择,它只会选择一个任意值。
如果您的left join
(
select id
, string_agg(tag.name, ', ') tags
from tag
group by
id
) t
on ot.tag_id = t.id
仅用于创建标记列表,则可以将其移至子查询:
{{1}}
你可以为外部查询避免很长的分组。