5:14 p.m.
We are seeing extreme slowness in using this API, we are still not sure what could be the
culprit. We enabled more logging on the postgres side of thing, thinking it could be
related to keycloak – postgres slowness. Once we enabled more logging, we do see that
keycloak is issuing a query like this one at a rate of about one per millisecond
```select clientscop0_.ROLE_ID as col_0_0_ from CLIENT_SCOPE_ROLE_MAPPING clientscop0_
where clientscop0_.SCOPE_ID=$1```
This fills up the logs so that it is hard to see anything else.
This could be the cause of the problem; which could be slowing postgres down. We wanted to
know if its some configuration issue which we can optimize to overcome this issue or if
it’s a known issue. Please advice.
Shweta
1:35 p.m.
Hello Shweta,
What version of Keycloak are you using? How many users/clients/roles are there?
The query is invoked from o.k.models.jpa.ClientScopeAdapter::getScopeMappings() method
[1]. In my setup, it is only called about a dozen of times during server startup. You can
set a tracepoint on that method to make sure it is called that frequently, and to
determine the code path that leads to this.
[1]
https://github.com/keycloak/keycloak/blob/master/model/jpa/src/main/java/...
Good luck,
Dmitry Telegin
CTO, Acutus s.r.o.
Keycloak Consulting and Training
Pod lipami street 339/52, 130 00 Prague 3, Czech Republic
+42 (022) 888-30-71
E-mail: info(a)acutus.pro
On Wed, 2019-01-30 at 23:14 +0000, Shetty, Shweta wrote:
We are seeing extreme slowness in using this API, we are still not
sure what could be the culprit. We enabled more logging on the postgres side of thing,
thinking it could be related to keycloak – postgres slowness. Once we enabled more
logging, we do see that keycloak is issuing a query like this one at a rate of about one
per millisecond
```select clientscop0_.ROLE_ID as col_0_0_ from CLIENT_SCOPE_ROLE_MAPPING clientscop0_
where clientscop0_.SCOPE_ID=$1```
This fills up the logs so that it is hard to see anything else.
This could be the cause of the problem; which could be slowing postgres down. We wanted
to know if its some configuration issue which we can optimize to overcome this issue or if
it’s a known issue. Please advice.
Shweta
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