add
remove
split
language
chart
show hidden
hide
db<>fiddle
Db2
DocumentDB
DuckDB
Firebird
MariaDB
MySQL
Oracle
Postgres
SQL Server
SQLite
TimescaleDB
YugabyteDB
11.1
11.5
12.1
0.114 (MongoDB 7.0)
0.116 (MongoDB 7.0)
1.4 LTS
3.0
4.0
5.0
10.2
10.3
10.4
10.5
10.6
10.7
10.8
10.9
10.11
11.4
11.8
12.3
5.5
5.6
5.7
8.0
8.4
9.7
11g Release 2
18c
21c
23ai
23c
26ai
8.4
9.3
9.4
9.5
9.6
10
11
12
13
14
15
16
17
18
19 beta 3
2012
2014
2016
2017
2017 (Linux)
2019
2019 (Linux)
2022
2025
3.8
3.16
3.27
3.39
3.45
3.53
2.11
2.14
2.28
2.6
2.8
2.18
2024.2 LTS
2025.2 LTS
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
Sakila
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
AdventureWorks
no sample DB
no sample DB
AdventureWorks
no sample DB
AdventureWorks
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
run with 2025
abort
markdown
clear
donate
feedback
about
By using db<>fiddle, you agree to license everything you submit by
Creative Commons CC0
.
DECLARE @Temp TABLE ( id int, userid int, result varchar(4) ) INSERT INTO @Temp (id, userid, result) VALUES (1, 1, 'win'), (2, 1, 'loss'), (3, 1, 'win'), (4, 1, 'win'), (5, 2, 'win'), (6, 1, 'loss'), (7, 2, 'win'), (8, 1, 'loss'), (9, 2, 'win'), (10, 3, 'win'), (11, 2, 'loss'), (12, 2, 'loss'), (13, 2, 'loss'), (14, 3, 'win'), (15, 3, 'win'), (16, 1, 'win'), (17, 1, 'win'), (18, 2, 'win') ; --先找出非此場同玩家不同結果的數量 with STEP1 as ( SELECT A.*, ( SELECT COUNT(B.id) FROM @Temp AS B WHERE B.userid=A.userid AND B.id < A.id AND B.result<>A.result ) AS flag FROM @Temp AS A ) --接著以玩家、結果、跟上一步取得的數量分組 --得出連勝輸數量 , STEP2 as ( SELECT A.userid, A.result, A.flag, COUNT(A.userid) AS recode FROM STEP1 AS A GROUP BY A.userid, A.result, A.flag ) --找出連勝輸數量大於1的就可以得到期望的結果 SELECT A.userid, A.result, A.recode FROM STEP2 AS A WHERE A.recode > 1 ORDER BY A.userid, A.flag;
userid
result
recode
1
win
2
1
loss
2
1
win
2
2
win
3
2
loss
3
3
win
3