zentol commented on a change in pull request #6850: [FLINK-10252] Handle
oversized metric messges
URL: https://github.com/apache/flink/pull/6850#discussion_r226294457
##########
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.
That is correct.
> probability of size overflow
Detailed latency metrics are the only known case where this happened which
is why I'm so persistent in suggesting to drop histograms first as it
eliminates this case.
> we need to consider returning some of the metrics
When you separate the byte array for each type we can always run the full
serialization, and let the MQS drop histograms from the serialization result
without requiring re-serialization.
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