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"Results have expired, rerun the query if needed"
Describe the bug:
Global variables are not shared between different gunicorn workers. https://github.com/cloudera/hue/blob/b5d126ea651d76e982a13c7da3661dac9a939246/desktop/libs/notebook/src/notebook/connectors/sql_alchemy.py#L90
Steps to reproduce it?
- Use the docker-compose to up the service, with following configurations:
gunicorn_work_class=eventlet
gunicorn_number_of_workers=8
- configure an interpreter with Athena/Trino/Presto + sqlalchemy
- use 2 different browser tabs to submit queries in editor, and you may see the
Results have expired, rerun the query if needed.error
Hue version or source?
open source 4.10.0
I too observed similar issue with Trino
Hi @jerryleooo, thanks for reporting this. Do you know if this happens with other interpreters as well?
@Harshg999 can you have a look?
Hi @bjornalm I haven't tried other interpreters, later i may try jdbc and update here
This issue is stale because it has been open 30 days with no activity and is not labeled "Prevent stale". Remove "stale" label or comment or this will be closed in 10 days.
Is it resolved in recent release or do we need to change the interpreter for this ? CC: @bjornalm @Harshg999
I too observed similar issue with Trino, which is connected through a VPC endpoint.
Is there a known workaround to this?
@vpattar now I use gunicorn_work_class=sync and gunicorn_number_of_workers=1, and running 3 instances behind a LB
With Gunicorn now, we need to relook and scope how to share global variable state. I've created an internal roadmap item for this issue and will take it up for subsequent releases. Thanks for flagging this @jerryleooo.
This issue is stale because it has been open 30 days with no activity and is not labeled "Prevent stale". Remove "stale" label or comment or this will be closed in 10 days.
I also met this error using StarRocks(compatible with mysql protocol), and when i used the mysql JDBC configuration way, it worked and returned query results. Maybe the sqlalchemy way has some session or connection bugs.
You can also try the JDBC way(need to upload JDK and execute $HUE_HOME/build/env/bin/pip install py4j ahead): https://docs.gethue.com/administrator/configuration/connectors/#mysql