Devika7733 opened a new issue, #43764:
URL: https://github.com/apache/superset/issues/43764
### Bug description
Hi Team, I am uploading a dataset using the curl command below. I have 293
datasets, which I zipped into one file called datasets.zip and uploaded via the
API. I was receiving the following error:
ERROR: Failed to import dataset from /tmp/repo/datasets/datasets.zip. HTTP
response code: 503
DEBUG [dataset]: Full response body:
upstream connect error or disconnect/reset before headers. reset reason:
connection termination
DEBUG [dataset]: Parsed error details:
ERROR: Import failed due to an unrecoverable error.
In the worker logs, I saw:
[2026-09-01 09:24:20 +0000] [1033] [CRITICAL] WORKER TIMEOUT (pid:1034)
[2026-09-01 09:24:22 +0000] [1034] [INFO] Worker exiting (pid:1034)
I then changed the timeout from 120 to 300 using the following command:
gunicorn -w 10 -k gevent --worker-connections 1000 --timeout 300
This fixed the issue.
I need to know: although I am uploading the zip file, is it just uploading
the data, or is it also running database queries each time I upload
datasets.zip?
curl -k -s -w "%{http_code}" -b cookies.txt -o
"${asset_type}_response_body.txt" \
--url "https://$APP_PREFIX$DOMAIN/$endpoint"; \
--header 'accept: application/json' \
--header Authorization": Bearer $ACCESS_TOKEN" \
--header 'content-type: multipart/form-data' \
--header "referer: https://$APP_PREFIX$DOMAIN"; \
--header "x-csrftoken: $CSRF_TOKEN" \
--form "formData=@$zip_file" \
--form overwrite=true \
--form "passwords=$passwords_json"
### Screenshots/recordings
_No response_
### Superset version
6.0.0
### Python version
3.11
### Node version
16
### Browser
Chrome
### Additional context
_No response_
### Checklist
- [ ] I have searched Superset docs and Slack and didn't find a solution to
my problem.
- [ ] I have searched the GitHub issue tracker and didn't find a similar bug
report.
- [ ] I have checked Superset's logs for errors and if I found a relevant
Python stacktrace, I included it here as text in the "additional context"
section.
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