[ 
https://issues.apache.org/jira/browse/FLINK-10252?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16654889#comment-16654889
 ] 

ASF GitHub Bot commented on FLINK-10252:
----------------------------------------

yanghua commented on a change in pull request #6850: [FLINK-10252] Handle 
oversized metric messges
URL: https://github.com/apache/flink/pull/6850#discussion_r226222036
 
 

 ##########
 File path: 
flink-runtime/src/main/java/org/apache/flink/runtime/metrics/dump/MetricDumpSerialization.java
 ##########
 @@ -124,50 +124,86 @@ public MetricSerializationResult serialize(
                        Map<Counter, Tuple2<QueryScopeInfo, String>> counters,
                        Map<Gauge<?>, Tuple2<QueryScopeInfo, String>> gauges,
                        Map<Histogram, Tuple2<QueryScopeInfo, String>> 
histograms,
-                       Map<Meter, Tuple2<QueryScopeInfo, String>> meters) {
+                       Map<Meter, Tuple2<QueryScopeInfo, String>> meters,
+                       long maximumFramesize,
+                       MetricQueryService queryService) {
 
                        buffer.clear();
+                       boolean unregisterRemainingMetrics = false;
 
                        int numCounters = 0;
                        for (Map.Entry<Counter, Tuple2<QueryScopeInfo, String>> 
entry : counters.entrySet()) {
+                               if (unregisterRemainingMetrics) {
+                                       queryService.unregister(entry.getKey());
+                                       continue;
+                               }
+
                                try {
                                        serializeCounter(buffer, 
entry.getValue().f0, entry.getValue().f1, entry.getKey());
                                        numCounters++;
+                                       if (buffer.length() > maximumFramesize) 
{
+                                               unregisterRemainingMetrics = 
true;
+                                       }
                                } catch (Exception e) {
                                        LOG.debug("Failed to serialize 
counter.", e);
+
                                }
                        }
 
                        int numGauges = 0;
                        for (Map.Entry<Gauge<?>, Tuple2<QueryScopeInfo, 
String>> entry : gauges.entrySet()) {
+                               if (unregisterRemainingMetrics) {
+                                       queryService.unregister(entry.getKey());
+                                       continue;
+                               }
+
                                try {
                                        serializeGauge(buffer, 
entry.getValue().f0, entry.getValue().f1, entry.getKey());
                                        numGauges++;
+                                       if (buffer.length() > maximumFramesize) 
{
+                                               unregisterRemainingMetrics = 
true;
+                                       }
                                } catch (Exception e) {
                                        LOG.debug("Failed to serialize gauge.", 
e);
                                }
                        }
 
-                       int numHistograms = 0;
-                       for (Map.Entry<Histogram, Tuple2<QueryScopeInfo, 
String>> entry : histograms.entrySet()) {
-                               try {
-                                       serializeHistogram(buffer, 
entry.getValue().f0, entry.getValue().f1, entry.getKey());
-                                       numHistograms++;
-                               } catch (Exception e) {
-                                       LOG.debug("Failed to serialize 
histogram.", e);
-                               }
-                       }
-
                        int numMeters = 0;
                        for (Map.Entry<Meter, Tuple2<QueryScopeInfo, String>> 
entry : meters.entrySet()) {
+                               if (unregisterRemainingMetrics) {
+                                       queryService.unregister(entry.getKey());
+                                       continue;
+                               }
+
                                try {
                                        serializeMeter(buffer, 
entry.getValue().f0, entry.getValue().f1, entry.getKey());
                                        numMeters++;
+                                       if (buffer.length() > maximumFramesize) 
{
+                                               unregisterRemainingMetrics = 
true;
+                                       }
                                } catch (Exception e) {
                                        LOG.debug("Failed to serialize meter.", 
e);
                                }
                        }
 
+                       int numHistograms = 0;
+                       for (Map.Entry<Histogram, Tuple2<QueryScopeInfo, 
String>> entry : histograms.entrySet()) {
+                               if (unregisterRemainingMetrics) {
+                                       queryService.unregister(entry.getKey());
+                                       continue;
+                               }
+
+                               try {
+                                       serializeHistogram(buffer, 
entry.getValue().f0, entry.getValue().f1, entry.getKey());
+                                       numHistograms++;
+                                       if (buffer.length() > maximumFramesize) 
{
 
 Review comment:
   OK, I think if we adopt the strategy of throwing exception, this is the same 
as we judge the total size directly in MQS. Or should we think about the cost 
of implementation and the probability of size overflow when the metrics dump? 
Because I am not very clear, whether the size overflow is a high frequency 
scene. If not, I suggest to judge the total size directly and then return an 
error message. If yes, then we need to consider returning some of the metrics.

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> Handle oversized metric messges
> -------------------------------
>
>                 Key: FLINK-10252
>                 URL: https://issues.apache.org/jira/browse/FLINK-10252
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Metrics
>    Affects Versions: 1.5.3, 1.6.0, 1.7.0
>            Reporter: Till Rohrmann
>            Assignee: vinoyang
>            Priority: Critical
>              Labels: pull-request-available
>             Fix For: 1.5.6, 1.6.3, 1.7.0
>
>
> Since the {{MetricQueryService}} is implemented as an Akka actor, it can only 
> send messages of a smaller size then the current {{akka.framesize}}. We 
> should check similarly to FLINK-10251 whether the payload exceeds the maximum 
> framesize and fail fast if it is true.



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