add
remove
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
23c
23ai
26ai
8.4
9.3
9.4
9.5
9.6
10
11
12
13
14
15
16
17
18
19 RC 1
2012
2014
2016
2017 (Linux)
2017
2019 (Linux)
2019
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
Sakila
no sample DB
Sakila
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
no sample DB
HR
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
db<>fiddle Statistics
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
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
abort
markdown
clear
donate
feedback
about
By using db<>fiddle, you agree to license everything you submit by
Creative Commons CC0
.
Create table log_event (user_id int,event_date_time bigint,event varchar(70)); INSERT INTO log_event Values(7494212,1535308430,'Opened app'); INSERT INTO log_event Values(7494212,1535308433,'Closed app'); INSERT INTO log_event Values(1475185,1535308444,'Registered'); INSERT INTO log_event Values(6946725,1535308475,'Opened app'); INSERT INTO log_event Values(6946725,1535308476,'Made a purchase'); INSERT INTO log_event Values(6946725,1535308477,'Closed app');
SELECT user_id, AVG(time_dif) average_time_spent FROM ( SELECT user_id, event, LEAD(event_date_time) OVER (PARTITION BY user_id ORDER BY event_date_time) - event_date_time time_dif FROM log_event WHERE event IN ('Opened app', 'Closed app') ) t WHERE event = 'Opened app' GROUP BY user_id;
user_id
average_time_spent
6946725
2.0000
7494212
3.0000