gyfora commented on code in PR #983:
URL: 
https://github.com/apache/flink-kubernetes-operator/pull/983#discussion_r2120321410


##########
flink-kubernetes-operator/src/main/java/org/apache/flink/kubernetes/operator/observer/JobStatusObserver.java:
##########
@@ -132,8 +134,50 @@ protected void 
observeJobManagerExceptions(FlinkResourceContext<R> ctx) {
             }
 
             var exceptionHistory = history.getExceptionHistory();
-            List<JobExceptionsInfoWithHistory.RootExceptionInfo> exceptions =
-                    exceptionHistory.getEntries();
+            var exceptions = exceptionHistory.getEntries();
+
+            String currentJobId = jobStatus.getJobId();
+            var cacheEntry = ctx.getExceptionCacheEntry();
+
+            if (!cacheEntry.isInitialized()) {
+
+                Instant lastExceptionTs;
+                if (exceptions == null || exceptions.isEmpty()) {
+                    // If the job doesn't have any exceptions set to MIN as we 
always have to record
+                    // the next
+                    lastExceptionTs = Instant.MIN;
+                } else {
+                    var k8sExpirationTs = 
Instant.now().minus(MAX_K8S_EVENT_AGE);
+                    var maxJobExceptionTs =
+                            exceptions.stream()
+                                    .map(e -> 
Instant.ofEpochMilli(e.getTimestamp()))
+                                    .max(Comparator.naturalOrder())
+                                    .orElseThrow();
+
+                    if (maxJobExceptionTs.isBefore(k8sExpirationTs)) {
+                        // If the last job exception was a long time ago, then 
there is no point in
+                        // checking in k8s.
+                        lastExceptionTs = maxJobExceptionTs;

Review Comment:
   there is no config for this (nothing to tune) and the optimization can be 
very important when the operator starts up because then the cache is empty and 
it would fetch events for every single job. In most cases this filter 
completely eliminates that so this greatly reduces the startup api server load 



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