amrit2196 opened a new issue, #42383:
URL: https://github.com/apache/airflow/issues/42383
### Apache Airflow version
Other Airflow 2 version (please specify below)
### If "Other Airflow 2 version" selected, which one?
2.10.0
### What happened?
I recently upgraded my airflow version from 2.5.3 to 2.10.0 in our
environment, and the parallelism count is set to 32 with three schedulers in
place, so what happens is that when more than 96 tasks run, whenever a new task
is scheduled after that, it gets stuck in scheduled state, with the open slot
count being zero, even though the previous tasks that ran have completed and
have been cleared.
### What you think should happen instead?
The open slot count should increase when the tasks are completed and the
tasks queued up should be scheduled
### How to reproduce
Just tried it by upgrading the changes and running 5 or 6 dags with 10 task
in each dag and parallelism set to 32 for each scheduler. Point to be noted is
that the same set of dag works fine when it was running in airflow version 2.5.3
### Operating System
Redhat linux
### Versions of Apache Airflow Providers
apache-airflow-providers-postgres==5.12.0 \
apache-airflow-providers-apache-hive==8.2.0 \
apache-airflow-providers-amazon==8.28.0 \
apache-airflow-providers-cncf-kubernetes==8.4.1 \
apache-airflow-providers-apache-livy==3.9.0 \
apache-airflow-providers-presto==5.6.0 \
apache-airflow-providers-http==4.13.0 \
apache-airflow-providers-trino==5.8.0 \
apache-airflow-providers-snowflake==5.7.0 \
apache-airflow-providers-salesforce==5.8.0 \
apache-airflow-providers-papermill==3.8.0 \
apache-airflow-providers-google==10.22.0 \
apache-airflow-providers-celery==3.8.1 \
apache-airflow-providers-redis==3.8.0 \
apache-airflow-providers-dbt-cloud==3.10.0 \
apache-airflow-providers-openlineage==1.11.0 \
### Deployment
Official Apache Airflow Helm Chart
### Deployment details
_No response_
### Anything else?
_No response_
### Are you willing to submit PR?
- [ ] Yes I am willing to submit a PR!
### Code of Conduct
- [X] I agree to follow this project's [Code of
Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
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