Sql 使用带有更新的CTE和聚合函数
在PostgreSQL 10.6中,我试图将两个聚合函数调用的结果存储到Sql 使用带有更新的CTE和聚合函数,sql,postgresql,sql-update,common-table-expression,postgresql-10,Sql,Postgresql,Sql Update,Common Table Expression,Postgresql 10,在PostgreSQL 10.6中,我试图将两个聚合函数调用的结果存储到words\u users表的avg\u score和avg\u time列中,但不幸的是,得到了语法错误: WITH last_week_moves AS ( SELECT m.gid, m.uid, m.played - LAG(m.played) OVER(PARTITION BY m.gid ORDER BY played) AS dif
words\u users
表的avg\u score
和avg\u time
列中,但不幸的是,得到了语法错误:
WITH last_week_moves AS (
SELECT
m.gid,
m.uid,
m.played - LAG(m.played) OVER(PARTITION BY m.gid ORDER BY played) AS diff
FROM words_moves m
JOIN words_games g ON (m.gid = g.gid AND 5 IN (g.player1, g.player2))
WHERE m.played > CURRENT_TIMESTAMP - INTERVAL '1 week'
)
UPDATE words_users SET
avg_score = (SELECT ROUND(AVG(score), 1) FROM words_moves WHERE uid = 5),
avg_time = TO_CHAR(AVG(diff), 'HH24:MI')
FROM last_week_moves
WHERE uid = 5
GROUP BY uid;
WITH last_week_moves AS (
SELECT
m.gid,
m.uid,
TO_CHAR(AVG(m.played - LAG(m.played) OVER(PARTITION BY m.gid ORDER BY played)), 'HH24:MI') AS diff
FROM words_moves m
JOIN words_games g ON (m.gid = g.gid AND 5 IN (g.player1, g.player2))
WHERE m.played > CURRENT_TIMESTAMP - INTERVAL '1 week'
GROUP BY uid
)
UPDATE words_users SET
avg_score = (SELECT ROUND(AVG(score), 1) FROM words_moves WHERE uid = 5),
avg_time = diff
FROM last_week_moves
WHERE uid = 5;
ERROR: 42803: aggregate function calls cannot contain window function calls
LINE 5: TO_CHAR(AVG(m.played - LAG(m.played)...
^
LOCATION: check_agg_arguments_walker, parse_agg.c:728
(我在上面的语句中使用了硬编码的uid=5
,但在现实生活中,后者被包装在PL/PgSQL存储函数中,并使用参数uid=in_uid
)
数据库似乎不满意分组依据
,但我需要它用于AVG(diff)
,因为CTE总是为游戏中的两名玩家提供移动间隔时间:
SELECT
m.gid,
m.uid,
m.played - LAG(m.played) OVER(PARTITION BY m.gid ORDER BY played) AS diff
FROM words_moves m
JOIN words_games g ON (m.gid = g.gid AND 5 IN (g.player1, g.player2))
WHERE m.played > CURRENT_TIMESTAMP - INTERVAL '1 week';
gid | uid | diff
-------+-------+-----------------------
50399 | 774 | ¤
50608 | 8977 | ¤
50608 | 5 | 00:39:48.121149
50608 | 8977 | 00:09:46.221235
50608 | 5 | 01:35:23.524209
50608 | 8977 | 09:26:40.794061
50697 | 5 | ¤
50697 | 10322 | 02:13:16.502079
50697 | 5 | 01:47:44.681788
50697 | 10322 | 00:01:31.597973
50697 | 5 | 12:11:24.54716
50697 | 10322 | 12:01:15.078243
50697 | 5 | 11:52:39.60056
50697 | 10322 | 00:11:30.491137
50697 | 5 | 00:14:53.612513
50697 | 10322 | 01:45:23.940957
...
52469 | 5 | 02:46:29.768655
52469 | 8550 | 01:16:45.169882
52469 | 5 | 08:38:00.691552
(59 rows)
有人知道如何更改我的UPDATE
查询吗
以下是有关的3个表格:
# \d words_users
Table "public.words_users"
Column | Type | Collation | Nullable | Default
---------------+--------------------------+-----------+----------+------------------------------------------
uid | integer | | not null | nextval('words_users_uid_seq'::regclass)
created | timestamp with time zone | | not null |
visited | timestamp with time zone | | not null |
ip | inet | | not null |
fcm | text | | |
apns | text | | |
adm | text | | |
motto | text | | |
vip_until | timestamp with time zone | | |
grand_until | timestamp with time zone | | |
banned_until | timestamp with time zone | | |
banned_reason | text | | |
elo | integer | | not null |
medals | integer | | not null |
coins | integer | | not null |
avg_score | double precision | | |
avg_time | text | | |
Indexes:
"words_users_pkey" PRIMARY KEY, btree (uid)
Check constraints:
"words_users_banned_reason_check" CHECK (length(banned_reason) > 0)
"words_users_elo_check" CHECK (elo >= 0)
"words_users_medals_check" CHECK (medals >= 0)
Referenced by:
TABLE "words_chat" CONSTRAINT "words_chat_uid_fkey" FOREIGN KEY (uid) REFERENCES words_users(uid) ON DELETE CASCADE
TABLE "words_games" CONSTRAINT "words_games_player1_fkey" FOREIGN KEY (player1) REFERENCES words_users(uid) ON DELETE CASCADE
TABLE "words_games" CONSTRAINT "words_games_player2_fkey" FOREIGN KEY (player2) REFERENCES words_users(uid) ON DELETE CASCADE
TABLE "words_moves" CONSTRAINT "words_moves_uid_fkey" FOREIGN KEY (uid) REFERENCES words_users(uid) ON DELETE CASCADE
TABLE "words_reviews" CONSTRAINT "words_reviews_author_fkey" FOREIGN KEY (author) REFERENCES words_users(uid) ON DELETE CASCADE
TABLE "words_reviews" CONSTRAINT "words_reviews_uid_fkey" FOREIGN KEY (uid) REFERENCES words_users(uid) ON DELETE CASCADE
TABLE "words_scores" CONSTRAINT "words_scores_uid_fkey" FOREIGN KEY (uid) REFERENCES words_users(uid) ON DELETE CASCADE
TABLE "words_social" CONSTRAINT "words_social_uid_fkey" FOREIGN KEY (uid) REFERENCES words_users(uid) ON DELETE CASCADE
TABLE "words_stats" CONSTRAINT "words_stats_uid_fkey" FOREIGN KEY (uid) REFERENCES words_users(uid) ON DELETE CASCADE
# \d words_moves
Table "public.words_moves"
Column | Type | Collation | Nullable | Default
---------+--------------------------+-----------+----------+------------------------------------------
mid | bigint | | not null | nextval('words_moves_mid_seq'::regclass)
action | text | | not null |
gid | integer | | not null |
uid | integer | | not null |
played | timestamp with time zone | | not null |
tiles | jsonb | | |
score | integer | | |
letters | text | | |
hand | text | | |
puzzle | boolean | | not null | false
Indexes:
"words_moves_pkey" PRIMARY KEY, btree (mid)
"words_moves_gid_played_idx" btree (gid, played DESC)
"words_moves_uid_idx" btree (uid)
Check constraints:
"words_moves_score_check" CHECK (score >= 0)
Foreign-key constraints:
"words_moves_gid_fkey" FOREIGN KEY (gid) REFERENCES words_games(gid) ON DELETE CASCADE
"words_moves_uid_fkey" FOREIGN KEY (uid) REFERENCES words_users(uid) ON DELETE CASCADE
Referenced by:
TABLE "words_scores" CONSTRAINT "words_scores_mid_fkey" FOREIGN KEY (mid) REFERENCES words_moves(mid) ON DELETE CASCADE
# \d words_games
Table "public.words_games"
Column | Type | Collation | Nullable | Default
----------+--------------------------+-----------+----------+------------------------------------------
gid | integer | | not null | nextval('words_games_gid_seq'::regclass)
created | timestamp with time zone | | not null |
finished | timestamp with time zone | | |
player1 | integer | | not null |
player2 | integer | | |
played1 | timestamp with time zone | | |
played2 | timestamp with time zone | | |
state1 | text | | |
state2 | text | | |
reason | text | | |
hint1 | text | | |
hint2 | text | | |
score1 | integer | | not null |
score2 | integer | | not null |
chat1 | integer | | not null |
chat2 | integer | | not null |
hand1 | character(1)[] | | not null |
hand2 | character(1)[] | | not null |
pile | character(1)[] | | not null |
letters | character(1)[] | | not null |
values | integer[] | | not null |
bid | integer | | not null |
friendly | boolean | | |
Indexes:
"words_games_pkey" PRIMARY KEY, btree (gid)
"words_games_player1_coalesce_idx" btree (player1, COALESCE(finished, 'infinity'::timestamp with time zone))
"words_games_player2_coalesce_idx" btree (player2, COALESCE(finished, 'infinity'::timestamp with time zone))
Check constraints:
"words_games_chat1_check" CHECK (chat1 >= 0)
"words_games_chat2_check" CHECK (chat2 >= 0)
"words_games_check" CHECK (player1 <> player2)
"words_games_score1_check" CHECK (score1 >= 0)
"words_games_score2_check" CHECK (score2 >= 0)
Foreign-key constraints:
"words_games_bid_fkey" FOREIGN KEY (bid) REFERENCES words_boards(bid) ON DELETE CASCADE
"words_games_player1_fkey" FOREIGN KEY (player1) REFERENCES words_users(uid) ON DELETE CASCADE
"words_games_player2_fkey" FOREIGN KEY (player2) REFERENCES words_users(uid) ON DELETE CASCADE
Referenced by:
TABLE "words_chat" CONSTRAINT "words_chat_gid_fkey" FOREIGN KEY (gid) REFERENCES words_games(gid) ON DELETE CASCADE
TABLE "words_moves" CONSTRAINT "words_moves_gid_fkey" FOREIGN KEY (gid) REFERENCES words_games(gid) ON DELETE CASCADE
TABLE "words_scores" CONSTRAINT "words_scores_gid_fkey" FOREIGN KEY (gid) REFERENCES words_games(gid) ON DELETE CASCADE
你似乎想要:
WITH last_week_moves AS (
SELECT m.uid,
(MAX(m.played) - MIN(m.played)) / NULLIF(COUNT(*) - 1, 0) as avg_diff,
AVG(score) as avg_score
FROM words_moves m JOIN
words_games g
ON m.gid = g.gid AND 5 IN (g.player1, g.player2)
WHERE m.played > CURRENT_TIMESTAMP - INTERVAL '1 week'
GROUP BY m.uid
)
UPDATE words_users wu
SET avg_score = lwm.avg_score,
avg_time = TO_CHAR(avg_diff, 'HH24:MI')
FROM last_week_moves lwm
WHERE wu.uid = lwm.uid AND
wu.uid = 5;
请注意,这简化了diff
计算,因此不需要lag()
您可以看到这些是等效的:
价值差异
1.
4 3
九五
差异的平均值明显为4。这是((4-1)+(9-4))/2
。您可以看到“4”被取消,因此它实际上是(9-1)/2
。这一观察概括了。您似乎想要:
WITH last_week_moves AS (
SELECT m.uid,
(MAX(m.played) - MIN(m.played)) / NULLIF(COUNT(*) - 1, 0) as avg_diff,
AVG(score) as avg_score
FROM words_moves m JOIN
words_games g
ON m.gid = g.gid AND 5 IN (g.player1, g.player2)
WHERE m.played > CURRENT_TIMESTAMP - INTERVAL '1 week'
GROUP BY m.uid
)
UPDATE words_users wu
SET avg_score = lwm.avg_score,
avg_time = TO_CHAR(avg_diff, 'HH24:MI')
FROM last_week_moves lwm
WHERE wu.uid = lwm.uid AND
wu.uid = 5;
请注意,这简化了diff
计算,因此不需要lag()
您可以看到这些是等效的:
价值差异
1.
4 3
九五
差异的平均值明显为4。这是
((4-1)+(9-4))/2
。您可以看到“4”被取消,因此它实际上是(9-1)/2
。这一观察概括了。不确定语法,但由于uid位于WHERE,您至少不需要group by。group by
在UPDATE
语句中无效。那么,如何使用AVG
结果为UPDATE
提供数据?为什么不直接计算CTE中的平均值<代码>上周移动为(选择平均值(差异),从()更新…?不幸的是,这会产生另一个语法错误:聚合函数调用不能包含窗口函数调用。请查看更新的问题不确定语法,但由于uid位于WHERE,您至少不需要group by。group by
在更新
语句中无效。如何向上馈送日期
与平均值
结果一起?为什么不直接计算CTE中的平均值?与上周移动为(选择平均值(差异),从()更新…
?不幸的是,这会产生另一个语法错误:聚合函数调用不能包含窗口函数调用请查看更新的问题我很惊讶您的代码如何产生与我的滞后相同的值-使用代码…您能解释(MAX(m.play)-MIN(m.play))/NULLIF(COUNT(*)-1,0吗
trick,它是如何工作的?我很惊讶你的代码如何产生与我的LAG
相同的值-使用代码…你能解释一下(MAX(m.played)-MIN(m.played))/NULLIF(COUNT(*)-1,0)
trick,它是如何工作的吗?