add batch
remove batch
split batch
comment selection
show hidden batches
hide batch
db<>fiddle
Db2
DuckDB
Firebird
MariaDB
MySQL
Oracle
Postgres
SQL Server
SQLite
TimescaleDB
YugabyteDB
11.1
11.5
12.1
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
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
.
CREATE TABLE t ([id] int, [name] varchar(1), [status] int) ; INSERT INTO t ([id], [name], [status]) VALUES (2, 'a', 1), (2, 'a', 2), (2, 'a', 3), (2, 'a', 2), (2, 'a', 1), (3, 'b', 2), (3, 'b', 1), (3, 'b', 2), (3, 'b', 1) ;
9 rows affected
select id ,count(*) as 'total count' ,count(case status when 3 then 1 end) as 'count(status3)' ,count(case status when 2 then 1 end) as 'count(status2)' ,count(case status when 1 then 1 end) as 'count(status1)' from t group by id
id
total count
count(status3)
count(status2)
count(status1)
2
5
1
2
2
3
4
0
2
2
Warning: Null value is eliminated by an aggregate or other SET operation.