Versions (relevant - OpenSearch/Dashboard/Server OS/Browser):
OpenSearch Version : 2.15.0
Describe the issue:
Higher Heap Usage on WARM data nodes after upgrading from 2.14.0 to 2.15.0. Master and HOT data nodes see a slight bump in HEAP usage.
GC is still running on what looks like the same interval as before the upgrade and completing just as quickly as before ( see screen shots )
Configuration:
Our cluster has been configured using the OpenSearch Helm chart which was bumpped from 2.20 to 2.21 for the upgrade.
Each data node (pod) both WARM and HOT are configured with 32G of memory and 16G of HEAP. No memory values were changed during the upgrade and no additional services have been added to the cluster for increased volume of log entries ingested.
Relevant Logs or Screenshots:
JVM Heap Usage / Percent before and after upgrade
The only notable difference I can sus out easily is the fact that now none of my WARM nodes have any query cache. I’m unsure if this is related, I assume some query cache is healthier for the cluster.
– This could also be a bug in the Prometheus exporter plugin as well, but no GH issues have been reported and 2.15.0 is a supported cluster version.