Hi,
Since upgrading from 6.6 to 7.0, we had some memory leak like behavior: +500M
used memory per week.
After investigation, it only occurs when you have many many different CAS
"service" urls (query params are taken into account)
For example https://userphoto.univ.fr/?uid=xxx&v=<random-number>
The culprit is:
https://github.com/apereo/cas/blob/master/core/cas-server-core-webflow/src/main/java/org/apereo/cas/config/CasWebflowMonitoringConfiguration.java
A workaround is "management.tracing.enabled=false"
Refs:
- https://apereo.github.io/cas/7.0.x/monitoring/Configuring-Tracing.html
- Micrometer Metrics with high cardinality tags resulting in OOM issue :
https://github.com/micrometer-metrics/micrometer/issues/3038
Détails:
for each new 1000 services, it creates the following objects:
+0.0M +1000 io.micrometer.core.instrument.cumulative.CumulativeTimer
+0.0M +1000
io.micrometer.core.instrument.distribution.DistributionStatisticConfig
+0.0M +1000 io.micrometer.core.instrument.distribution.TimeWindowMax
+0.0M +1000 io.micrometer.core.instrument.internal.DefaultLongTaskTimer
+0.0M +1000 java.util.concurrent.ConcurrentLinkedDeque ([email protected])
+0.0M +1000 [Ljava.util.concurrent.atomic.AtomicLong; ([email protected])
...
+0.0M +2000 io.micrometer.core.instrument.Tags
+0.0M +2000 java.lang.Double ([email protected])
+0.1M +2000 [Lio.micrometer.core.instrument.Tag;
+0.1M +2022 java.util.concurrent.ConcurrentHashMap ([email protected])
+0.0M +2078 java.util.concurrent.ConcurrentLinkedDeque$Node
([email protected])
+0.1M +3129 java.util.concurrent.ConcurrentHashMap$Node
([email protected])
+0.2M +4000 io.micrometer.core.instrument.Meter$Id
+0.1M +5000 io.micrometer.core.instrument.ImmutableTag
+0.1M +5000 java.util.concurrent.atomic.AtomicLong ([email protected])
+0.1M +6187 java.lang.String ([email protected])
+2.3M +6234 [B ([email protected])
with ImmutableTag having the following key-value fields: "error"-"none", "flowId"-"login",
"url"-"https://...";
(obtained with "jmap -histo" and heap dump + visualvm)
cu
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