There are too many Spark sessions and the session timeout parameter is not effective

[A-little-bit-of-data]

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Describe the bug

When using kyuubi to start a spark SQL ON K8S cluster, the number of internal sessions increases. The parameter kyuubi.engine.user.isolated.spark.session.idle.timeout=PT30M is found in the documentation. The default value is 6H. After changing it to 30M, there are still sessions that exceed 30M and are not closed, and the SQL of the session has been executed. I would like to ask whether the creation of this session is based on a SQL or how it is created. I found that there are not so many SQLs in my cluster, but there are many sessions. I don't know how they are created.

Affects Version(s)

1.9.1

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Additional context

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Are you willing to submit PR?

• Yes. I would be willing to submit a PR with guidance from the Kyuubi community to fix.
• No. I cannot submit a PR at this time.

[pan3793]

you should read the docs carefully, the docs of kyuubi.engine.user.isolated.spark.session.idle.timeout say

If kyuubi.engine.user.isolated.spark.session is false ...

and the default value of kyuubi.engine.user.isolated.spark.session is true, further, the docs of kyuubi.engine.user.isolated.spark.session say

... if the engine is running in a group or server share level ... Note that, it does not affect if the share level is connection or user.

while the screenshot shows you are using USER share level

[pan3793]

for your cases, maybe you should change kyuubi.session.idle.timeout

[A-little-bit-of-data]

you should read the docs carefully, the docs of kyuubi.engine.user.isolated.spark.session.idle.timeout say

If kyuubi.engine.user.isolated.spark.session is false ...

and the default value of kyuubi.engine.user.isolated.spark.session is true, further, the docs of kyuubi.engine.user.isolated.spark.session say和默认值 kyuubi.engine.user.isolated.spark.session 是true ，此外，文档 kyuubi.engine.user.isolated.spark.session 说

... if the engine is running in a group or server share level ... Note that, it does not affect if the share level is connection or user.

while the screenshot shows you are using USER share level

Thank you very much. Can I understand it this way? When using the user sharing level, kyuubi.session.idle.timeout is used to control the session timeout. When using the group or service sharing level, kyuubi.engine.user.isolated.spark.session.idle.timeout is used to control the session timeout. Whether it is spark, flink, or trino engine