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Long running queries cause freezing when using sqlite #12386
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opened 2025-11-02 10:08:09 -06:00 by GiteaMirror
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Originally created by @PeterSurda on GitHub (Jan 25, 2024).
Description
When using the sqlite backend, a long running query will freeze both the web UI as well as the ssh server. During the freeze, there is nothing in the log, and one CPU core is pegged at 100%. After moving to MariaDB, the query (see below) will still take a very long time, and
mariadbdwill still fully utilise one core or more, but due to more fine grained locking there is no freezing anymore.The freezing happened during startup (about 2 hours), and when the "Cron: Check all repository statistics" job was running (between 10 minutes and 2 hours). I was only able to obtain the problematic query (for the cron job) after moving to MariaDB. I don't know if in both cases it's the same query:
My attempts to debug didn't provide much helpful results, as I said during the freeze the UI is unresponsive and I can't git pull (throws an error after 1 minute). The logs don't change, the files on the filesystem don't change other than the session files. There is negligible disk I/O. My server is way overpowered for my gitea installation, with 24 cores and more RAM than the whole gitea data volume, and a SSD RAID. I tried a
strace, and all I could see was threads waiting for futexes. I was running a slightly older version of gitea, and I tried fixing it by upgrading to the latest docker image, but it only got worse (query took longer to run). Only the educated guess this could be a long running query combined with sqlite finally helped me.The way I see it, there are two issues:
It's not really a problem for me anymore since after moving to MariaDB there is no observable freeze anymore, but perhaps someone else will experience this, so it would be helpful to have some sort of detection or mitigation of this.
Gitea Version
1.21.4
Can you reproduce the bug on the Gitea demo site?
No
Log Gist
No response
Screenshots
No response
Git Version
gitea internal
Operating System
Ubuntu 22.04
How are you running Gitea?
docker compose, official image
Database
SQLite
@KN4CK3R commented on GitHub (Jan 26, 2024):
Could you please tell how many rows your
issue,issue_labelandlabelhave? As all involved fields are indexes, there should not be a problem.@PeterSurda commented on GitHub (Jan 27, 2024):
The answer is
@PeterSurda commented on GitHub (Feb 25, 2024):
Update: the symptoms occasionally appear when using MariaDB too but they are less frequent, whereas with sqlite they happened every day.
@somera commented on GitHub (Aug 1, 2024):
I would check the output for
analyse <sql>with an MariaDB SQL Client.
@PeterSurda commented on GitHub (Aug 3, 2024):
Here's the output from
ANALYZE:@somera commented on GitHub (Aug 3, 2024):
Hm ... 1xusing where and 2x using index.
Get you the same result with
SELECT `label`.id FROM `label` WHERE `label`.num_closed_issues!=(SELECT COUNT(`issue_label`.label_id) FROM `issue_label`,`issue` WHERE `issue_label`.label_id=`label`.id AND `issue_label`.issue_id=`issue`.id AND `issue`.is_closed=1);and how fast ist this query?
@PeterSurda commented on GitHub (Aug 3, 2024):
No change in duration:
I also tried to create an index on label.num_closed_issues and the duration is still the same.
@somera commented on GitHub (Aug 3, 2024):
I'm using PostgreSQL with Gitea and I don't have issues in my setup. I can't check this statement on my setup.
The question is, how is you MariaDB setup? Perhaps is there to less memory?
https://www.cloudways.com/blog/mariadb-performance-tuning/#Optimizing-MariaDB
What happens when the query is running? CPU usage? I/O on SSD? Memory usage?
@PeterSurda commented on GitHub (Aug 3, 2024):
I'm using the MariaDB container from docker hub, the only custom parameter I added is
--thread_stack=1048576(I forgot why exactly I had to add this). The server has 256GB RAM, only 10GB is used, the rest the OS uses as buffers/cache. The whole MariaDB container volume is only 1.5GB. Theissue,labelandissue_labeldatabase files together occupy less than 100MB. During the query, one CPU core is fully loaded. There is negligible I/O on themariadbdprocess, whether the query is running or not, maxing out at around 200kB/s, and even this negligible I/O is only write I/O.@somera commented on GitHub (Aug 3, 2024):
Perhaps ... https://releem.com/docs/mysql-performance-tuning/thread_stack
@PeterSurda commented on GitHub (Aug 3, 2024):
I increased
thread_stackto 268435456, which is almost 1000 times the default value. There is no change in the query time.@PeterSurda commented on GitHub (Aug 4, 2024):
If I rewrite the query using
HAVING, it works ok: